Difference: GlobalParticleID (1 vs. 90)

Revision 902018-11-16 - BorisQuintana

Line: 1 to 1
 
META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

Line: 17 to 17
 
RD Ryan Calladine Boris Quintana
B2CC Miram Lucio Martinez Varvara Batozskaya
B2OC Mikkel Bjørn
Changed:
<
<
Charmless Vladimir Macko Maxime Vernet, Dong Xiao
>
>
Charmless Vladimir Macko Dong Xiao
 
SL Matthew Tilley -
Ions & FT Shanzhen Chen -
Trigger Carla Marin, Florian Reiss -

Revision 892018-10-31 - VladimirMacko

Line: 1 to 1
 
META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

Line: 115 to 115
  In 2017, summary histograms for all of the HLT2 Turcal lines are produced in order to assist with data quality checks. PID&CO liaisons undertaking data quality shifts are required to check the histograms, in order to ensure that no problems are present in the data.
Added:
>
>

Instructions for liaisons on shift

ROOT files containing the PID&CO histograms are available at:

<!-- SyntaxHighlightingPlugin -->
/eos/lhcb/wg/PID/Monitoring_histos/real_data_2018/
<!-- end SyntaxHighlightingPlugin -->
The .root files with histograms are updated each Monday, such that the files present in this directory are:
  1. Histograms containing data taken during the previous week (weekly.root).
  2. Histograms containing all of the data taken up to the previous week (total.root).
  3. Histograms containing all of the data taken up to the previous week after the Z-alignment.(total_afterAlignment.root).

This enables one to check whether the latest histograms follow the trend of previous data taking. The latest script to plot the histograms divided into each Turcal trigger line including new alignment is available. It can be found at:

<!-- SyntaxHighlightingPlugin -->
/afs/cern.ch/user/v/vmatiuni/workspace/public/shiftPIDCO/check3Histograms.C 
<!-- end SyntaxHighlightingPlugin -->
The script can be executed from lxplus nodes as follows:
<!-- SyntaxHighlightingPlugin -->
lb-run ROOT root -l /afs/cern.ch/user/v/vmatiuni/workspace/public/shiftPIDCO/check3Histograms.C
<!-- end SyntaxHighlightingPlugin -->
it will produce a directory with plots of the total and weekly histograms, saved in .root and PDF format. This folder with plots can be used as input to the latex monitoring report (see below). Previous version of this script (version without new alignment) is also available (git):
<!-- SyntaxHighlightingPlugin -->
https://gitlab.cern.ch/freiss/hltmoni/blob/florian/checkHistograms.C
<!-- end SyntaxHighlightingPlugin -->
This script can be executed as follows:
<!-- SyntaxHighlightingPlugin -->
lb-run ROOT root -l checkHistograms.C
<!-- end SyntaxHighlightingPlugin -->
it will produce plots of the total and weekly histograms, saved in .root and PDF format.

Produced histograms can be conveniently reported using latex beamer template created by Mikkel Bjorn:

<!-- SyntaxHighlightingPlugin -->
/afs/cern.ch/user/m/mibjoern/public/PIDHlt2Moni/real\_data/presentation/pidco\_template.tex
<!-- end SyntaxHighlightingPlugin -->

Example of plots and report can be found:

<!-- SyntaxHighlightingPlugin -->
https://gitlab.cern.ch/vmacko/pid-shifter
<!-- end SyntaxHighlightingPlugin -->

Monitoring shift schedule:

6 Jun Mikkel Bjorn
20 Jun Guillaume Pietrzyk
4 Jul Ryan Calladine
18 Jul Sophie Baker
1 Aug Matthew Tilley
15 Aug Varvara Batozskaya
29 Aug James Mead
5 Sep Slava Matiunin
19 Sep Maxime Vernet
3 Oct Shanzhen Chen
17 Oct Vladimir Macko
31 Oct Boris Quintana
7 Nov Mikkel Bjorn
21 Nov Miriam Lucio
5 Dec Guillaume Pietrzyk

 

Instructions to extract the PID&CO histograms from the HLT2 savesets

The histograms are saved automatically by HLT2 and can be accessed through the plus nodes. An online account is needed for this. From any lxplus node one can log into lbgw (you should have received your password when you requested your online account)

Line: 145 to 199
  Notice that once the histograms are merged and in order to copy the resulting files to lxplus, one needs to enter the lxplus password.
Deleted:
<
<

Instructions for liaisons on shift

ROOT files containing the PID&CO histograms are available at:


<!-- SyntaxHighlightingPlugin -->
/afs/cern.ch/user/c/cmarinbe/public/PIDHlt2Moni/real_data/
<!-- end SyntaxHighlightingPlugin -->

The histograms are updated each Monday, such that the files present in this directory are:

  1. Histograms containing data taken during the previous week.
  2. Histograms containing all of the data taken up to the previous week.
This enables one to check whether the latest histograms follow the trend of previous data taking.

A script is available to plot the histograms, divided into each Turcal trigger line. It can be found at:


<!-- SyntaxHighlightingPlugin -->
/afs/cern.ch/user/s/skbaker/public/PIDMonitor/checkHistograms.C
<!-- end SyntaxHighlightingPlugin -->

The script can be executed as follows:


<!-- SyntaxHighlightingPlugin -->
lb-run ROOT root -l checkHistograms.C
<!-- end SyntaxHighlightingPlugin -->

and will produce plots of the total and weekly histograms, saved in .root and PDF format.

Monitoring shift schedule:

6 Jun Mikkel Bjorn
20 Jun Guillaume Pietrzyk
4 Jul Ryan Calladine
18 Jul Sophie Baker
1 Aug Matthew Tilley
15 Aug Varvara Batozskaya
29 Aug James Mead
5 Sep Slava Matiunin
19 Sep Maxime Vernet
3 Oct Shanzhen Chen  
17 Oct Vladimir Macko
31 Oct Boris Quintana
7 Nov Mikkel Bjorn
21 Nov Miriam Lucio
5 Dec Guillaume Pietrzyk

BarbaraSciascia - 2016-08-21

 
META FILEATTACHMENT attachment="ADFSlarge_prism.jpg" attr="h" comment="" date="1418975773" name="ADFSlarge_prism.jpg" path="ADFSlarge_prism.jpg" size="101533" user="bsciasci" version="1"

Revision 882018-10-15 - DonalHill

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

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  If you are interested in any of these or you want to suggest a conference we've missed, please get in touch with us!
Changed:
<
<

Previous Talks/Posters & Proceedings

>
>

Previous Conference Talks & Posters

 
Added:
>
>
A list of previous talks and posters given on behalf of the PID&CO WG can be found here.
 

Plots for conference

Useful figures to describe PID development and performance page.

Line: 123 to 117
 

Instructions to extract the PID&CO histograms from the HLT2 savesets

Changed:
<
<
The histograms are saved automatically by HLT2 and can be accessed through the plus nodes. An online account is needed for this. From any lxplus node one can log into lbgw (you should have received your password when you requested your online account)
>
>
The histograms are saved automatically by HLT2 and can be accessed through the plus nodes. An online account is needed for this. From any lxplus node one can log into lbgw (you should have received your password when you requested your online account)
 
Changed:
<
<
<!-- SyntaxHighlightingPlugin -->
ssh lbgw
<!-- end SyntaxHighlightingPlugin -->
>
>

<!-- SyntaxHighlightingPlugin -->
ssh lbgw<br />
<!-- end SyntaxHighlightingPlugin -->
  and from there to plus using ssh with an online account
Changed:
<
<
<!-- SyntaxHighlightingPlugin -->
ssh plus
<!-- end SyntaxHighlightingPlugin -->
>
>

<!-- SyntaxHighlightingPlugin -->
ssh plus<br />
<!-- end SyntaxHighlightingPlugin -->
  If using a computer connected to the network at the LHCb site one can directly connect to plus.

A set of scripts to get, merge and move the histograms is provided in this gitlab repository. They rely on the RunDB python API, which can be downloaded from here. Instructions on how to install it are provided in the README file therein. To produce the weekly histograms that are checked by the liaisons, the "run_pidco_bysvset.sh" script from the hltmoni repository is used. It takes as argument a date in the format YYYYMMDD and runs on all savesets produced until this date extracting the PID&CO Turcal histograms only. The reduced savesets are stored in a folder specified in the variable "dest_folder" with the names "runnumber.root". If previous savesets have already been saved one can skip them by specifying the folder where they are present in the variable "skip_folder". Currently, all histograms processed to date are stored in "/home/cmarinbe/hltmoni/pidco/processed_runs", where this variable defaults. The script then merges all the new savesets into a file named "date.root" and copies it to the public location in lxplus where the summary histograms are stored: "/afs/cern.ch/user/c/cmarinbe/public/PIDHlt2Moni/real_data/" under the name "week.root". If a "week.root" file is already present in this directory it will be overwritten. You probably want to merge it to the "all.root" file before running this script. For this just do:

Changed:
<
<
%CODE{ lang="bash" num="off" }%
>
>

%CODE{ lang="bash" num="off" }%
  hadd -a all.root week.root
Changed:
<
<
%ENDCODE%
>
>

%ENDCODE%
  The script also saves a copy of the root file and two txt files with the integrated luminosity of the merged saveset and a list of the runs included in the "weekly" folder in that directory. All in all, one simply needs to run:
Changed:
<
<
%CODE{ lang="bash" num="off" }%
>
>

%CODE{ lang="bash" num="off" }%
  ./run_pidco_bysvset.sh YYYYMMDD
Changed:
<
<
%ENDCODE%
>
>

%ENDCODE%
  Notice that once the histograms are merged and in order to copy the resulting files to lxplus, one needs to enter the lxplus password.
Line: 160 to 149
  ROOT files containing the PID&CO histograms are available at:
Changed:
<
<
%CODE{ lang="bash" num="off" }%
>
>

%CODE{ lang="bash" num="off" }%
  /afs/cern.ch/user/c/cmarinbe/public/PIDHlt2Moni/real_data/%ENDCODE%
Line: 171 to 160
  A script is available to plot the histograms, divided into each Turcal trigger line. It can be found at:
Changed:
<
<
%CODE{ lang="bash" num="off" }%
>
>

%CODE{ lang="bash" num="off" }%
  /afs/cern.ch/user/s/skbaker/public/PIDMonitor/checkHistograms.C%ENDCODE%

The script can be executed as follows:

Changed:
<
<
%CODE{ lang="bash" num="off" }%
>
>

%CODE{ lang="bash" num="off" }%
  lb-run ROOT root -l checkHistograms.C%ENDCODE%

Revision 872018-09-20 - LoicBrarda

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

Line: 123 to 123
 

Instructions to extract the PID&CO histograms from the HLT2 savesets

Changed:
<
<
The histograms are saved automatically by HLT2 and can be accessed through the plus nodes. An online account is needed for this. From any lxplus node one can log into lbgw
>
>
The histograms are saved automatically by HLT2 and can be accessed through the plus nodes. An online account is needed for this. From any lxplus node one can log into lbgw (you should have received your password when you requested your online account)
  %CODE{ lang="bash" num="off" }%
Changed:
<
<
ssh lbgw (pwd: LHCb!user)
>
>
ssh lbgw
 %ENDCODE%

and from there to plus using ssh with an online account

%CODE{ lang="bash" num="off" }%

Changed:
<
<
ssh plus (pwd: LHCb!user)
>
>
ssh plus
 %ENDCODE%

If using a computer connected to the network at the LHCb site one can directly connect to plus.

Revision 862018-09-20 - AntonPoluektov

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

Line: 182 to 182
  and will produce plots of the total and weekly histograms, saved in .root and PDF format.
Added:
>
>
Monitoring shift schedule:
6 Jun Mikkel Bjorn
20 Jun Guillaume Pietrzyk
4 Jul Ryan Calladine
18 Jul Sophie Baker
1 Aug Matthew Tilley
15 Aug Varvara Batozskaya
29 Aug James Mead
5 Sep Slava Matiunin
19 Sep Maxime Vernet
3 Oct Shanzhen Chen  
17 Oct Vladimir Macko
31 Oct Boris Quintana
7 Nov Mikkel Bjorn
21 Nov Miriam Lucio
5 Dec Guillaume Pietrzyk
 BarbaraSciascia - 2016-08-21

META FILEATTACHMENT attachment="ADFSlarge_prism.jpg" attr="h" comment="" date="1418975773" name="ADFSlarge_prism.jpg" path="ADFSlarge_prism.jpg" size="101533" user="bsciasci" version="1"

Revision 852018-08-27 - BorisQuintana

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

Line: 17 to 17
 
RD Ryan Calladine Boris Quintana
B2CC Miram Lucio Martinez Varvara Batozskaya
B2OC Mikkel Bjørn
Changed:
<
<
Charmless Vladimir Macko Maxime Vernet
>
>
Charmless Vladimir Macko Maxime Vernet, Dong Xiao
 
SL Matthew Tilley -
Ions & FT Shanzhen Chen -
Changed:
<
<
Trigger Carla Marin, Florian Reiss
>
>
Trigger Carla Marin, Florian Reiss -
 
Simulation Benedetto Siddi -

General information

Revision 842018-06-12 - GreigCowan

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

Line: 70 to 70
  WG production internal note: LHCb-INT-2016-029
Added:
>
>
Photon reconstruction efficiency correction in Run 2 public note: Analysis page
 

Paper twikis

New MVA GlobalPID

Revision 832018-06-08 - AntonPoluektov

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

Line: 20 to 20
 
Charmless Vladimir Macko Maxime Vernet
SL Matthew Tilley -
Ions & FT Shanzhen Chen -
Changed:
<
<
Trigger Carla Marin -
>
>
Trigger Carla Marin, Florian Reiss
 
Simulation Benedetto Siddi -

General information

Revision 822018-05-16 - DonalHill

Line: 1 to 1
 
META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

Line: 13 to 13
 
Physics WG PID Calo Objects
QEE Sophie Baker James Mead
B&Q Slava Matiunin
Changed:
<
<
Charm Dominik Mitzel Tom Hadavizadeh
>
>
Charm Guillaume Pietrzyk Tom Hadavizadeh
 
RD Ryan Calladine Boris Quintana
B2CC Miram Lucio Martinez Varvara Batozskaya
B2OC Mikkel Bjørn

Revision 812018-05-10 - DonalHill

Line: 1 to 1
 
META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

Line: 12 to 12
 Liaisons
Physics WG PID Calo Objects
QEE Sophie Baker James Mead
Changed:
<
<
B&Q Slava Matiunin Daniel Craik
>
>
B&Q Slava Matiunin
 
Charm Dominik Mitzel Tom Hadavizadeh
RD Ryan Calladine Boris Quintana
B2CC Miram Lucio Martinez Varvara Batozskaya

Revision 802018-05-04 - DonalHill

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

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B2OC Mikkel Bjørn
Charmless Vladimir Macko Maxime Vernet
SL Matthew Tilley -
Changed:
<
<
Ions & FT Francesco Bossu -
>
>
Ions & FT Shanzhen Chen -
 
Trigger Carla Marin -
Simulation Benedetto Siddi -

Revision 792018-05-04 - AntonPoluektov

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

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QEE Sophie Baker James Mead
B&Q Slava Matiunin Daniel Craik
Charm Dominik Mitzel Tom Hadavizadeh
Changed:
<
<
RD Thibaud Humair Boris Quintana
>
>
RD Ryan Calladine Boris Quintana
 
B2CC Miram Lucio Martinez Varvara Batozskaya
B2OC Mikkel Bjørn
Changed:
<
<
Charmless Abhijit Mathad Maxime Vernet
>
>
Charmless Vladimir Macko Maxime Vernet
 
SL Matthew Tilley -
Ions & FT Francesco Bossu -
Trigger Carla Marin -

Revision 782018-04-19 - DonalHill

Line: 1 to 1
 
META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

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 Liaisons
Physics WG PID Calo Objects
QEE Sophie Baker James Mead
Changed:
<
<
B&Q Fabio Ferrari Daniel Craik
>
>
B&Q Slava Matiunin Daniel Craik
 
Charm Dominik Mitzel Tom Hadavizadeh
RD Thibaud Humair Boris Quintana
B2CC Miram Lucio Martinez Varvara Batozskaya

Revision 772018-04-09 - MaxChefdeville

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

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PID & CO contacts

Changed:
<
<
Convenors: Martino Borsato, Max Chefdeville, Marianna Fontana, Donal Hill.
>
>
Convenors: Martino Borsato, Jean-François Marchand, Donal Hill, Anton Poluektov.
  Liaisons
Physics WG PID Calo Objects

Revision 762018-03-07 - DonalHill

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

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B&Q Fabio Ferrari Daniel Craik
Charm Dominik Mitzel Tom Hadavizadeh
RD Thibaud Humair Boris Quintana
Changed:
<
<
B2CC Veronika Chobanova Varvara Batozskaya
B2OC Anita Nandi
>
>
B2CC Miram Lucio Martinez Varvara Batozskaya
B2OC Mikkel Bjørn
 
Charmless Abhijit Mathad Maxime Vernet
SL Matthew Tilley -
Ions & FT Francesco Bossu -

Revision 752018-02-12 - MaxChefdeville

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

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  Liaisons
Physics WG PID Calo Objects
Changed:
<
<
QEE Sophie Baker Murilo Santana
>
>
QEE Sophie Baker James Mead
 
B&Q Fabio Ferrari Daniel Craik
Charm Dominik Mitzel Tom Hadavizadeh
RD Thibaud Humair Boris Quintana
Line: 74 to 74
  New MVA GlobalPID
Changed:
<
<
Novel strategy for PID calibration in Run 2
>
>
Novel strategy for PID calibration in Run 2
 

Workshops

Revision 742017-12-27 - MariannaFontana

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

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  New MVA GlobalPID
Changed:
<
<
Novel strategy for PID calibration in Run 2
>
>
Novel strategy for PID calibration in Run 2
 

Workshops

PID workshop (28 Jan 2014)

Revision 732017-12-13 - DonalHill

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

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Paper twikis

Changed:
<
<
New MVA GlobalPID

[[][Novel Run 2 PID strategy]]

>
>
New MVA GlobalPID
 
Added:
>
>
Novel strategy for PID calibration in Run 2
 

Workshops

PID workshop (28 Jan 2014)

Revision 722017-12-13 - MariannaFontana

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

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  WG production internal note: LHCb-INT-2016-029
Added:
>
>

Paper twikis

New MVA GlobalPID

[[][Novel Run 2 PID strategy]]

 

Workshops

PID workshop (28 Jan 2014)

Revision 712017-10-12 - MaxChefdeville

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

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PID & CO contacts

Changed:
<
<
Convenors: Max Chefdeville, Marianna Fontana, Donal Hill.
>
>
Convenors: Martino Borsato, Max Chefdeville, Marianna Fontana, Donal Hill.
  Liaisons
Physics WG PID Calo Objects
Line: 16 to 16
 
Charm Dominik Mitzel Tom Hadavizadeh
RD Thibaud Humair Boris Quintana
B2CC Veronika Chobanova Varvara Batozskaya
Changed:
<
<
B2OC Anita Nandi Paolo Gandini
Charmless Abhijit Mathad Jason Andrews
>
>
B2OC Anita Nandi
Charmless Abhijit Mathad Maxime Vernet
 
SL Matthew Tilley -
Ions & FT Francesco Bossu -
Trigger Carla Marin -

Revision 702017-10-11 - DonalHill

Line: 1 to 1
 
META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

Line: 164 to 164
  %CODE{ lang="bash" num="off" }%
Changed:
<
<
/afs/cern.ch/user/f/fferrari/public/PIDShift/checkHistograms.C%ENDCODE%
>
>
/afs/cern.ch/user/s/skbaker/public/PIDMonitor/checkHistograms.C%ENDCODE%
  The script can be executed as follows:

Revision 692017-10-10 - CarlaMarinBenito

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

Line: 128 to 128
  If using a computer connected to the network at the LHCb site one can directly connect to plus.
Changed:
<
<
A set of scripts to get, merge and move the histograms is provided in this gitlab repository. To produce the weekly histograms that are checked by the liaisons, the "run_pidco_bysvset.sh" script is used. It takes as argument a date in the format YYYYMMDD and runs on all savesets produced until this date extracting the PID&CO Turcal histograms only. The reduced savesets are stored in a folder specified in the variable "dest_folder" with the names "runnumber.root". If previous savesets have already been saved one can skip them by specifying the folder where they are present in the variable "skip_folder". Currently, all histograms processed to date are stored in "/home/cmarinbe/hltmoni/pidco/processed_runs", where this variable defaults. The script then merges all the new savesets into a file named "date.root" and copies it to the public location in lxplus where the summary histograms are stored: "/afs/cern.ch/user/c/cmarinbe/public/PIDHlt2Moni/real_data/" under the name "week.root". If a "week.root" file is already present in this directory it will be overwritten. You probably want to merge it to the "all.root" file before running this script. For this just do:
>
>
A set of scripts to get, merge and move the histograms is provided in this gitlab repository. They rely on the RunDB python API, which can be downloaded from here. Instructions on how to install it are provided in the README file therein. To produce the weekly histograms that are checked by the liaisons, the "run_pidco_bysvset.sh" script from the hltmoni repository is used. It takes as argument a date in the format YYYYMMDD and runs on all savesets produced until this date extracting the PID&CO Turcal histograms only. The reduced savesets are stored in a folder specified in the variable "dest_folder" with the names "runnumber.root". If previous savesets have already been saved one can skip them by specifying the folder where they are present in the variable "skip_folder". Currently, all histograms processed to date are stored in "/home/cmarinbe/hltmoni/pidco/processed_runs", where this variable defaults. The script then merges all the new savesets into a file named "date.root" and copies it to the public location in lxplus where the summary histograms are stored: "/afs/cern.ch/user/c/cmarinbe/public/PIDHlt2Moni/real_data/" under the name "week.root". If a "week.root" file is already present in this directory it will be overwritten. You probably want to merge it to the "all.root" file before running this script. For this just do:
  %CODE{ lang="bash" num="off" }%

Revision 682017-10-09 - MariannaFontana

Line: 1 to 1
 
META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

Line: 114 to 114
 

Instructions to extract the PID&CO histograms from the HLT2 savesets

Changed:
<
<
The histograms are saved automatically by HLT2 and can be accessed through the plus nodes. An online account is needed for this. From any lxplus node one can log into lbgw and from there to plus using ssh with an online account. If using a computer connected to the network at the LHCb site one can directly connect to plus.
>
>
The histograms are saved automatically by HLT2 and can be accessed through the plus nodes. An online account is needed for this. From any lxplus node one can log into lbgw

<!-- SyntaxHighlightingPlugin -->
ssh lbgw (pwd: LHCb!user)
<!-- end SyntaxHighlightingPlugin -->

and from there to plus using ssh with an online account

<!-- SyntaxHighlightingPlugin -->
ssh plus (pwd: LHCb!user)
<!-- end SyntaxHighlightingPlugin -->

If using a computer connected to the network at the LHCb site one can directly connect to plus.

  A set of scripts to get, merge and move the histograms is provided in this gitlab repository. To produce the weekly histograms that are checked by the liaisons, the "run_pidco_bysvset.sh" script is used. It takes as argument a date in the format YYYYMMDD and runs on all savesets produced until this date extracting the PID&CO Turcal histograms only. The reduced savesets are stored in a folder specified in the variable "dest_folder" with the names "runnumber.root". If previous savesets have already been saved one can skip them by specifying the folder where they are present in the variable "skip_folder". Currently, all histograms processed to date are stored in "/home/cmarinbe/hltmoni/pidco/processed_runs", where this variable defaults. The script then merges all the new savesets into a file named "date.root" and copies it to the public location in lxplus where the summary histograms are stored: "/afs/cern.ch/user/c/cmarinbe/public/PIDHlt2Moni/real_data/" under the name "week.root". If a "week.root" file is already present in this directory it will be overwritten. You probably want to merge it to the "all.root" file before running this script. For this just do:

Revision 672017-10-09 - CarlaMarinBenito

Line: 1 to 1
 
META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID (PID&CO Working Group)

Line: 20 to 20
 
Charmless Abhijit Mathad Jason Andrews
SL Matthew Tilley -
Ions & FT Francesco Bossu -
Changed:
<
<
Trigger Carla Benito -
>
>
Trigger Carla Marin -
 
Simulation Benedetto Siddi -

General information

Line: 108 to 109
 

Monitoring histograms for Turcal data


Changed:
<
<
In 2017, summary histograms for all of the HLT2 Turcal lines are produced in order to assist with data quality checks. PID&CO liaisons undertaking data quality shifts are reuired to check the histograms, in order to ensure that no problems are present in the data.
>
>
In 2017, summary histograms for all of the HLT2 Turcal lines are produced in order to assist with data quality checks. PID&CO liaisons undertaking data quality shifts are required to check the histograms, in order to ensure that no problems are present in the data.

Instructions to extract the PID&CO histograms from the HLT2 savesets

The histograms are saved automatically by HLT2 and can be accessed through the plus nodes. An online account is needed for this. From any lxplus node one can log into lbgw and from there to plus using ssh with an online account. If using a computer connected to the network at the LHCb site one can directly connect to plus.

A set of scripts to get, merge and move the histograms is provided in this gitlab repository. To produce the weekly histograms that are checked by the liaisons, the "run_pidco_bysvset.sh" script is used. It takes as argument a date in the format YYYYMMDD and runs on all savesets produced until this date extracting the PID&CO Turcal histograms only. The reduced savesets are stored in a folder specified in the variable "dest_folder" with the names "runnumber.root". If previous savesets have already been saved one can skip them by specifying the folder where they are present in the variable "skip_folder". Currently, all histograms processed to date are stored in "/home/cmarinbe/hltmoni/pidco/processed_runs", where this variable defaults. The script then merges all the new savesets into a file named "date.root" and copies it to the public location in lxplus where the summary histograms are stored: "/afs/cern.ch/user/c/cmarinbe/public/PIDHlt2Moni/real_data/" under the name "week.root". If a "week.root" file is already present in this directory it will be overwritten. You probably want to merge it to the "all.root" file before running this script. For this just do:

<!-- SyntaxHighlightingPlugin -->
hadd -a all.root week.root
<!-- end SyntaxHighlightingPlugin -->

The script also saves a copy of the root file and two txt files with the integrated luminosity of the merged saveset and a list of the runs included in the "weekly" folder in that directory. All in all, one simply needs to run:

<!-- SyntaxHighlightingPlugin -->
./run_pidco_bysvset.sh YYYYMMDD
<!-- end SyntaxHighlightingPlugin -->

Notice that once the histograms are merged and in order to copy the resulting files to lxplus, one needs to enter the lxplus password.

Instructions for liaisons on shift

  ROOT files containing the PID&CO histograms are available at:
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  The histograms are updated each Monday, such that the files present in this directory are:
  1. Histograms containing data taken during the previous week.
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  1. Histograms containing all of the taken taken up to the previous week.
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  1. Histograms containing all of the data taken up to the previous week.
 This enables one to check whether the latest histograms follow the trend of previous data taking.

A script is available to plot the histograms, divided into each Turcal trigger line. It can be found at:

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  Also this talk (prepared by the BnoC WG for the A&S week in Oct 2013) is a very good example of "propagation of information".
Added:
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Monitoring histograms for Turcal data

 
Added:
>
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In 2017, summary histograms for all of the HLT2 Turcal lines are produced in order to assist with data quality checks. PID&CO liaisons undertaking data quality shifts are reuired to check the histograms, in order to ensure that no problems are present in the data.

ROOT files containing the PID&CO histograms are available at:

<!-- SyntaxHighlightingPlugin -->
/afs/cern.ch/user/c/cmarinbe/public/PIDHlt2Moni/real_data/
<!-- end SyntaxHighlightingPlugin -->

The histograms are updated each Monday, such that the files present in this directory are:

  1. Histograms containing data taken during the previous week.
  2. Histograms containing all of the taken taken up to the previous week.
This enables one to check whether the latest histograms follow the trend of previous data taking.

A script is available to plot the histograms, divided into each Turcal trigger line. It can be found at:

<!-- SyntaxHighlightingPlugin -->
/afs/cern.ch/user/f/fferrari/public/PIDShift/checkHistograms.C
<!-- end SyntaxHighlightingPlugin -->

The script can be executed as follows:

<!-- SyntaxHighlightingPlugin -->
lb-run ROOT root -l checkHistograms.C
<!-- end SyntaxHighlightingPlugin -->

and will produce plots of the total and weekly histograms, saved in .root and PDF format.

 BarbaraSciascia - 2016-08-21

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RD Thibaud Humair Giulio Gazzoni
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Charmless Abhijit Mathad Jason Andrews
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List of open operations tasks - please join us!

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A list of ongoing operations tasks can be found here. Several PID&CO tasks remain unassigned, and represent an excellent opportunity to get involved in the operations side of things. If any of these appeal to you, please contact the PID&CO convenors.
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A list of ongoing operations tasks can be found here. Several PID&CO tasks remain unassigned, and represent an excellent opportunity to get involved in the operations side of things. If any of these appeal to you, please contact the PID&CO convenors.
 

Charged PID Twiki

Information on charged track PID can be found on the Link at the Charged PID Twiki Page

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List of open operations tasks - please join us!

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A list of ongoing operations tasks can be found here. Several PID&CO tasks remain unassigned, and represent an excellent opportunity to get involved in the operations side of things. If any of these appeal to you, please contact the PID&CO convenors.
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A list of ongoing operations tasks can be found here. Several PID&CO tasks remain unassigned, and represent an excellent opportunity to get involved in the operations side of things. If any of these appeal to you, please contact the PID&CO convenors.
 

Charged PID Twiki

Information on charged track PID can be found on the Link at the Charged PID Twiki Page

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  PIDCalib public note: LHCb-PUB-2016-021
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WG production internal note (in preparation): LHCb-INT-2016-029
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WG production internal note: LHCb-INT-2016-029
 

Workshops

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PID & CO contacts

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Convenors : Max Chefdeville, Marianna Fontana, Donal Hill. Overlap till March 2017: Barbara Sciascia, Miriam Calvo
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Convenors: Max Chefdeville, Marianna Fontana, Donal Hill.
  Liaisons
Physics WG PID Calo Objects
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General information

Particle identification in LHCb is provided by four different detectors: the calorimeter system, the two RICH detectors and the muon stations. These pages are for the LHCb Global Particle ID, the combination of the individual sub-detector PID performance measures into a single source of information to be used by the physics applications. It covers the responsibilites of the PID & Calo Objects joint working group. Links to the respective charged PID and calorimeter objects Twiki pages can be found below.

Added:
>
>

List of open operations tasks - please join us!

 
Added:
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>
A list of ongoing operations tasks can be found here. Several PID&CO tasks remain unassigned, and represent an excellent opportunity to get involved in the operations side of things. If any of these appeal to you, please contact the PID&CO convenors.
 

Charged PID Twiki

Information on charged track PID can be found on the Link at the Charged PID Twiki Page

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Mailing lists

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Questions or comments concerning Particle Identification may be sent to the following mailling list: lhcb-phys-PID-topics@cern.ch (charged PID), lhcb-phys-caloobjectstools@cern.ch (neutral PID). Please use this mailing list for general PID topics.
>
>
Questions or comments concerning Particle Identification may be sent to the following mailling list: lhcb-phys-PID-topics@cern.ch (charged PID), lhcb-phys-caloobjectstools (neutral PID). Please use this mailing list for general PID topics.
  Questions or comments concerning the PIDCalib packages may be sent to the following mailling list: lhcb-phys-pid-calibration@cern.ch. Please use this mailing list for any question that involves PIDCalib.

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Charmless Abhijit Mathad Jason Andrews
SL Matthew Tilley -
Ions & FT Francesco Bossu -
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Trigger Olli Lupton -
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Trigger Carla Benito -
 
Simulation Benedetto Siddi -

General information

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 Liaisons
Physics WG PID Calo Objects
QEE Paula Alvarez Cartelle Murilo Santana
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B&Q Fabio Ferrari Daria Savrina
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B&Q Fabio Ferrari Daniel Craik
 
Charm Dominik Mitzel Tom Hadavizadeh
RD Thibaud Humair Giulio Gazzoni
B2CC Veronika Chobanova Varvara Batozskaya
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Calo objects Twiki

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Information regarding neutral PID and related topics can be found on the Calo Objects Twiki Page
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Information regarding neutral PID and related topics can be found on the Calo Objects Twiki Page
 

Mailing lists

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  If you wish to ask a question regarding the reconstruction of particle ID information, you may post a message to the LHCb Da Vinci working group mail list.
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Questions more specific to Calorimeter Objects can be sent to Calo Objects mailing list.
 

Regular meetings

PID&CO meetings: Particle Identification Indico category under LHCb Meetings Indico category

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  PPTS meetings: PPTS Indico category under LHCb Meetings Indico category
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Overview of the activities

The ongoing tasks in the group can be followed in the LBPID jira page

 

Documentation

PID samples in Run2 public note: LHCb-PUB-2016-005

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PID & CO contacts

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Convenors : Max Chefdeville, Marianna Fontana, Donal Hill
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Convenors : Max Chefdeville, Marianna Fontana, Donal Hill. Overlap till March 2017: Barbara Sciascia, Miriam Calvo
  Liaisons
Physics WG PID Calo Objects
QEE Paula Alvarez Cartelle Murilo Santana
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B&Q Fabio Ferrari Katya Govorkova
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B&Q Fabio Ferrari Daria Savrina
 
Charm Dominik Mitzel Tom Hadavizadeh
RD Thibaud Humair Giulio Gazzoni
B2CC Veronika Chobanova Varvara Batozskaya
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Mailing lists

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Questions or comments concerning Particle Identification may be sent to the following mailling list: lhcb-phys-PID-topics@cern.ch. Please use this mailing list for general PID topics.
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Questions or comments concerning Particle Identification may be sent to the following mailling list: lhcb-phys-PID-topics@cern.ch (charged PID), lhcb-phys-caloobjectstools@cern.ch (neutral PID). Please use this mailing list for general PID topics.
  Questions or comments concerning the PIDCalib packages may be sent to the following mailling list: lhcb-phys-pid-calibration@cern.ch. Please use this mailing list for any question that involves PIDCalib.
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Workshops

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PID workshop
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PID workshop (28 Jan 2014)
 
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Charge Asymmetry workshop
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Charge Asymmetry workshop (22 Jan 2015)
 
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Here a link to very old (2005/2006) information.
 

Conferences

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Previous Talks/Posters & Proceedings

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Plots for conference

Useful figures to describe PID development and performance page.

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Submitted Abstracts

A list of abstract submitted to conferences in the past can be found at this .

 

PID liaisons

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PID & CO contacts

 
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Conveners: Barbara Sciascia, Marianna Fontana
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Convenors
PID Calo Objects

Marianna Fontana

Donal Hill

Max Chefdeville

Liaisons

Physics WG PID Calo Objects
QEE Paula Alvarez Cartelle Murilo Santana
B&Q Fabio Ferrari Katya Govorkova
Charm Dominik Mitzel Tom Hadavizadeh
RD Thibaud Humair Giulio Gazzoni
B2CC Veronika Chobanova Varvara Batozskaya
B2OC Anita Nandi Paolo Gandini
Charmless Abhijit Mathad Jason Andrews
SL Matthew Tilley -
Ions & FT Francesco Bossu -
Trigger Olli Lupton -
Simulation Benedetto Siddi -

General information

Particle identification in LHCb is provided by four different detectors: the calorimeter system, the two RICH detectors and the muon stations. These pages are for the LHCb Global Particle ID, the combination of the individual sub-detector PID performance measures into a single source of information to be used by the physics applications. It covers the responsibilites of the PID & Calo Objects joint working group. Links to the respective charged PID and calorimeter objects Twiki pages can be found below.

 
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General information

>
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Charged PID Twiki

 
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Particle identification in LHCb is provided by four different detectors: the calorimeter system, the two RICH detectors and the muon stations. These pages are for the LHCb Global Particle ID, the combination of the individual sub-detector PID performance measures into a single source of information to be used by the physics applications.
>
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Information on charged track PID can be found on the Link at the Charged PID Twiki Page
 
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A good introduction (at PhD student level) to the Particle Identification in LHCb can be found in this lecture. A concise and updated description of the Particle Identification in LHCb can be found in Section 4 of the LHCb Performance paper. In particular, Section 4.4 of the same document synthetically describes the methods used to combine the information for charged particles in a single set of variables that provide optimal particle identification performance.
>
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Calo objects Twiki

 
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An event display can be an useful tool to understand the detector. This talk presents a new 3D online and offline event display; it uses platform independent technology and established standards.The offline version for tests can be found here.
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Information regarding neutral PID and related topics can be found on the Calo Objects Twiki Page
 

Mailing lists

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Questions or comments concerning Particle Identification may be sent to the following mailling list: lhcb-phys-PID-topics@cern.ch. Please use this mailing list for general PID topics.
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Questions or comments concerning Particle Identification may be sent to the following mailling list: lhcb-phys-PID-topics@cern.ch. Please use this mailing list for general PID topics.
 
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Questions or comments concerning the PIDCalib packages may be sent to the following mailling list: lhcb-phys-pid-calibration@cern.ch. Please use this mailing list for any question that involves PIDCalib.
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Questions or comments concerning the PIDCalib packages may be sent to the following mailling list: lhcb-phys-pid-calibration@cern.ch. Please use this mailing list for any question that involves PIDCalib.
  If you wish to ask a question regarding the reconstruction of particle ID information, you may post a message to the LHCb Da Vinci working group mail list.

Regular meetings

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PID meetings: Particle Identification Indico category under LHCb Meetings Indico category

Muon ID meetings: Muon Indico category under LHCb Meetings Indico category

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PID&CO meetings: Particle Identification Indico category under LHCb Meetings Indico category
  PPTS meetings: PPTS Indico category under LHCb Meetings Indico category
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Previous Talks/Posters & Proceedings

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A list of talks recently given at detector and software conferences can be found at this .
 

Plots for conference

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Useful figures to describe PID development and performance page.
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Useful figures to describe PID development and performance page.
 

Submitted Abstracts

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A list of abstract submitted to conferences in the past can be found at this .
 

PID liaisons

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The Physics Analysis Working Groups provide liaisons to the Physics Performance Working Groups, like PID, and other key areas. The WG contacts are listed here. Below a list of responsibilities for the PID liaisons (have a look also to this presentation, from 24 September 2014 PID meeting):
>
>
The Physics Analysis Working Groups provide liaisons to the Physics Performance Working Groups, like PID, Calo Objects and other key areas. The WG contacts are listed here. A list of responsibilities for the PID liaisons can be found below (have a look also at this presentation, from 24 September 2014 PID meeting):
 
Changed:
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  • Attend the PID meetings (for now only "on demand" meetings, usually Wednesday 11am).
  • Regularly inform WG on status of PID, in particular announce the release of new version of PIDCalib package, and inform about the existence of new PID samples.
  • Collect from ongoing WG analyses, information and requirements related to PID, in particular for what concerns the evaluation of systematic effects.
  • Notify the PID conveners about the lack of PID calibration samples that could be useful in some WG analyses, in particular for what concerns statistics of the control samples and/or kinematic coverage.
  • Even if the matter is discussed also at the PPG, notify the PID conveners about the request of MC samples related to the PID.
  • Notify in advance the PID conveners when there are important presentations/analyses concerning PID, to let the conveners decide whether to join the physics WG meeting and follow the relevant presentations.
>
>
  • Attend the PID&CO meetings (for now only "on demand" meetings, usually Wednesday 11am).
  • Regularly inform the PID&CO WG on status of PID, in particular announce the release of new version of PIDCalib package, updates to the neutral objects tools, and the existence of new charged and neutral PID samples.
  • Collect from ongoing WG analyses information and requirements related to PID & CO, in particular anything concerning the evaluation of systematic effects.
  • Notify the PID & CO conveners about the lack of calibration samples or tools that could be useful in some WG analyses, in particular anything concerning the statistics of the control samples and/or kinematic coverage.
  • Even if the matter is discussed at the PPG, notify the PID & CO conveners about the request of MC samples related to PID & CO.
  • Notify in advance the PID & CO conveners when there are important presentations/analyses concerning charged and neutral PID, to let the conveners decide whether to join the physics WG meeting and follow the relevant presentations.
  Good examples of information/reports from liaisons: BnoC, SL, Flavor tagging, QEE.
Changed:
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Also this talk (prepared by the BnoC WG foe the A&S week in Oct 2013) is a very good example of "propagation of information".

PIDcalib

All is here: https://twiki.cern.ch/twiki/bin/view/LHCb/PIDCalibPackage, with very clear instructions: have a look!

A dated but very good tutorial can be found here. A comprehensive presentation (Jan 2014) can be found here.

Description of some technical improvements in PIDCalib can be found here. From this work the proposal for a TrigCalib tool, equivalent to PIDCalib but for trigger efficiency/performance evaluation.

PIDCalib: issue with systematics (P. Hunt and J. Otalora, PPTS of 8 Jul 2013 devoted to PID); here some technical detail.

PIDCalib in-depth talk (P. Hunt, PPTS 11 Nov 2013)

Discussion about efficiency obtained from sPlot and its possible bias by M. Schmelling and O. Schneider See also sFit: concept, implementation and possible pitfalls from Y. Xie at the 50th A&S week (Jan 2013).

A detailed discussion about PID calibration uncertainties can be found in Sect. 8.1 of this ANA note.

Calibration data

Particle identification performance can be measured from data using the tag-and-probe method on suitable control samples: Jpsi -> ee from b decays are used for electrons (from Jpsi2eeForElectronIDBu2JpsiKLine stripping line), Jpsi -> mumu from b decays are used for muons (from JpsiFromBNoPIDNoMip stripping line), and D0 -> K pi from the Dstar -> D0 pi decays are used for pions and kaons (NoPIDDstarWithD02RSKPi stripping line). For protons two samples are used: Lambda -> p pi decays (from Lam0LLLine1V0ForPID stripping line) which has poor kinematic overlap with heavy physics decays, while the small sample of protons from Λ_c decays (from ... stripping line) covers the higher kinematic region.

Detailed information about each stripping line can be found in the Stripping Project page ( Useful link to svn repository). Stripping 21, released autumn 2014, is the legacy stripping for Run1 data, collected in 2012 and 2011 years.

Calibration data for 2015 Early Measurement

Information about PID samples useful for 2015 Early Measurement can be found here .

PID topics

This section collects information relative to specific PID topics; for some a specific task has been assigned (see table below).

The tasks may be considered as part of the effort required during 2013-14 (and beyond) to maximize the physics potential of the existing data, and to prepare for higher energy collisions. The concept was outlined in a talk at the LHCb week, 7 September 2012, and further details were given in this talk.

PID corrections: some good guidelines

The recent analysis "Observation of the annihilation decay mode B0→K+K−" performed a detailed study on PID performance that can be considered a good guideline also for other analysis. The final version of the ANA-NOTE will appear here while the latest version is available here (for PID see Sections 4, 7.1.5, 8.9, and 9.5).

Review of PID lines for Run2 (for both Stripping and HLT)

Ongoing work for the PID lines in HLT.

The status of the Stripping lines that are part of the Calibration stream are kept under control by the Calibration-Stripping liaison in this Twiki page.

The list of the Turbo lines can be found here.

The list of HLT PID lines can be found here.

A file with a summary of PID for Run2 is attached at the end.

A public note with the HLT2 selections for PID calibration samples can be found here

Online monitors from physics.

Resurrect a study done by Patrick Koppenburg about the idea of monitor the Luminosity using B, D and J/psi production. Here and here some material presented at the PPTS (March 2012).

Common MuonID for HLT and offline reconstruction.

The current Hlt muonID algorithm and the offline muonID are different. This is one of the last places (if not the last) where this still happens. The goal is to maximize the sharing between both parts. 100% would be optimal but maybe not feasible due to heavy timing constrains at the trigger level.

A task force with people from Offline and Trigger MuonID has been formed. Regular meeting held on Monday afternoon, 14.30-15.30. Use the following mailling list: lhcb-muonID-HLT-offline@cern.ch for discussion and information exchange.

Combined variables: DLL and ProbNN

The PID information obtained separately from the muon, RICH, and calorimeter systems is combined to provide a single set of more powerful variables. Two different approaches are used. In the first method (DLL variables) the likelihood information produced by each sub-system is simply added linearly, to form a set of combined likelihoods. These variables give a measure of how likely the mass hypothesis under consideration is, for any given track, relative to the pion hypothesis. A second approach (ProbNN variables) has been subsequently developed to improve upon the simple log likelihood variables both by taking into account correlations between the detector systems and also by including additional information. This is carried out using multivariate techniques, combining PID information from each sub-system into a single probability value for each particle hypothesis.

Detailed information about the ProbNN approach can be found in this presentation by Chris, slide 10; information about the Run 2 version of the ProbNN variables can be found in this presentaion by Chris (slide 11)Some comparative study of DLL versus ProbNN variable performance (Run 1) can be found here (A. Pearce, PPTS of 8 Jul 2013) and here (A. Hicheur, PID workshop, Jan 2014)

ProbNN variables use information from the tracking and the 3 PID systems, CALO RICH and MUON. The variables used as input for the ProbNN can be found here, actually sued at runtime to list what variables are used (looking at a specific file: the first 5 lines are other settings, the inputs start on the 6th; lines with a # at the start are commented out, so not used). The names in these files can then be match to actually know how data are extracted by looking at this file, which shows the mapping between the name and a helper class, and then to this which shows exactly what each helper does.

The training of ProbNN variables is done using MC inclusive B events. Actual performance depends on the tuning (blending of MC samples) used. A large collection of information on the various tunes can be found digging in this folder. For general purposes MCTuneV2 and MCTuneV3 tunings are available, that have different performance (ID and/or misID) and can be used simultaneously, the choice depending on the specific analysis. The main difference between MC12TuneV3 and MC12TuneV2 is that ghosts have been removed from the training samples (explicitly the ghost have been removed from the backgrounds of all the networks excluding the ghost one). This leads to an improvement in the performance for electrons (have a look to slides 18-23 here for a summary of electron ID performance with the two tunings) while for the other particles it is not that simple to say whether MCTuneV2 or MCTuneV3 is best.

To see which tune performs better in a specific analysis it is useful that the MCTuneV2 and MCTuneV3 might coexist. Users can directly compare themselves the two tunings by means of the new TupleTool TupleToolANNPID. This tool can be configured with a list of tunes, and will add each (with the tune in the variable name) to each stable particle you ask it to. The values are computed on the fly, rather than relying on the values saved in the ProtoParticles, and thus is able to save more than one tuning at the same time, which previously was not possible.

Tip on DLL values (i.e. Why there is a peak at PIDx == 0?)

The reason for the peak is any DLL is the difference between two species, one normally being pion. So PIDk is actually DLL(K-pi).

If the expected signature of the RICHes is below Cherenckov threshold for both species, no Cherenkov light is emitted and the signature for both is the same. In short RICH cannot tell them apart and the DLL(K-pi) == 0. precisely. Note that in Run2 the spike at 0 will be much larger than it was in Run1, due to the fact Aerogel has been removed and thus the effective momentum thresholds for a number of tracks will be increased (defined by C4C10 instead of Aerogel).

Practically, placing a cut (< or >) at precisely 0 is a bad idea because this means to cut on a delta function. The correct approach is to demand at least one of the two mass hypotheses in the DLL difference is above threshold as this is enough to make sure the signatures in the RICHes will be different, and thus the DLL is not 0. The "above threshold" request can be made either via the RichPID data objects (which have methods to do this) or via a direct momentum cut

Charge asymmetry

A synthetic introduction to detector asymmetries can be found here (LHCb week, February 2013) and here (PID workshop, January 2014) for aspects more related to PID.

Charge asymmetry has been studied in detail using D+ -> K-π+π+ events (see this talk, December 2012).

An internal note on measurement of the kaon detection asymmetry using double-tagged partially reconstructed D0 decays.

Detector asymmetry effects studied as systematic effects for a^D_SL measurement, presented here.

An internal note about the measurement of the Kπ detection asymmetry.

Tracking asymmetry (P. Koppenburg, PPTS 11 March 2013)

Charge asymmetry versus φ (P. Koppenburg, PPTS 17 June 2013)

Asymmetries in NoBias data (P. Koppenburg, PPTS 26 August 2013)

#protonID

Proton ID

The state of the art in January 2014: a comprehensive summary and one with details on source of detection asymmetry.

Contribution to the p-π separation from the Aerogel here, slides 13-19.

Photons and neutral objects

Link at the Calo Objects Twiki Page

Here the state of the art in January 2014

Presentation of useful tools: photonID and photon-pi0 separation. The latter is described also in INT-NOTE.

PIDCalib Internal Note

Produce a short document to describe the PIDCalib package beyond the regularly updated Twiki page.

MC resampling tool

A first study of a MC calibration for the PID variables can be found in this talk, slides from 3 to 7.

Need of corrected PID distributions in Monte Carlo e.g. to include them in a multi‐variate tool (BDTs..). First tool developed by BKstmumu working group for internal use only; here some documentation.

Add a new version of the tool (independent of BKstmumu framework) in PIDCalib package. Latest information can be found here and here.

A new resampling tool is available in GitHub thanks to Igor Babuschkin and Konstantin Schubert. The aim of this project is to simplify and accelerate the tedious task of resampling PIDs and other variables. This package resamples PID variables one by one. Therefore it doesn't reflect the correlations between them, except for those that already originate from correlations to the kinematic variables that we resample from. Project and full information can be found here.

Electron samples in PIDCalib

Add in PIDCalib electron samples from J/ψ -> ee decays; add to the other samples the variables to be tested against the electron hypothesis.

A summary of the electron PID before the work described in this task can be found here. First results were presented at the PPTS, 26 May 2014.

New proton samples in PIDCalib

Add in PIDCalib proton samples from Λ_c decays (Existing coverage of Λ-> p pi samples has poor kinematic overlap with heavy physics decays).

See also this presentation to know about the real increase of available proton statistics in the new samples.

Repository of PIDCalib data set

Find a stable destination of the PIDCalib data sets; present version uses /castor area of the user who produced the sample It seems that the best solution is to stored the files on EOS, at CERN. Philippe is currently creating the storage element in DIRAC, and Joel will create a dirac group for PID calibration.

Updated fits in PIDCalib

The determination of the hadron PID misidentification probabilities is a key ingredient of the Bsmm analysis. For this the Bsmm group performed a detailed study of the muon ID and misID, including a careful check of PIDCalib results. Details can be found in these presentations given in September 2013 and June 2014. A concise description of the work can be found in Section 4 of this internal note.

PID related tasks

<!--- questo non appare sulla pagina Twiki--->

The status of a task is identified by a color. A completed task is green. A task taken and in progress is blue; contribution is always welcome, but it's better to focus on the ones still free. A task available or that requires more effort is red.

Task name Lead (tools, or other) group Task description People/groups involved Effort/status Past studies and/or expertise from
Fit in PIDCalib Bsmm Check PIDCalib code against fits implemented in Bsmm analysis M. Palutan, M. Rama, B. Sciascia, R. Vazquez Gomez Closed  
PIDCalib INT-NOTE PID Writing the note A. Pearce No/On going  
New Proton samples in PIDCalib PID Add in PIDCalib proton samples from Λ_c decays (Existing coverage of Λ-> p pi samples has poor kinematic overlap with heavy physics decays) S. Ogilvy, S. Malde, No/On going M. Vesterinen, L. Carlson, Y. Zhang
MC resampling tool PID Write python scripts M. Tresch,V. Rives Molina, A. Contu No/On going  
Electron in PIDCalib PID Add in PIDCalib electron samples from J/psi -> ee decays; add to the other samples the variables to be tested against the electron hypothesis T. Bird, S. Malde Closed M-H Shune, A. Shire
Disk space PID/Computing Find a stable destination of the PIDCalib data sets; present version uses /castor area of the user who produced the sample S. Malde Closed B. Couturier
Unify Hlt-Offline MuonID PID/Hlt Unification and optimization of MuonID in Hlt and Offline Task force leads by R. Vazquez Gomez Closed  

Miscellanea

The following is an organized collection of links to presentations (typically at PPTS meetings) more o less related to PID.

L0muon

L0muon efficiency (J. Cogan, PPTS 23 Jan 2012)

L0muon induced charge asymmetry (J. Cogan, PPTS 12 Mar 2012)

Neutral objects

Calo Objects tool: status report (E. Tournefier, 48th A&S week, 23 Apr 2012)

Charged PID 2012. Status report (C. Jones, 48th A&S week, 24 Apr 2012)

MC calibration of γ/π0 separation (M. Hoballah, PPTS session during 49th A&S week)

New Tools for Conversions and Bremsstrahlung (E. Tournefier, PPTS of 3 Dec 2012)

The photon ID revisited (M. Hoballah, PPTS of 15 Jul 2013)

Charged PID

PPTS of 14 May 2012 Charged PID session with contributions from all physics WG

PID session in the Subdetector reports, 4 Sept 2012, LHCb week Davos (contributions from Calo, RICH, and Muon)

RICH ID

RICH PID performance in 2012 by A. Powell (PPTS session during 49th A&S week, three PID contributions)

Muon ID

Link at the MuonID Twiki Page

Overview of MuonID by B. Sciascia (PPTS session during 49th A&S week)

Muon-PIDCalib and MuonID performance in 2011 and 2012 data (J. Otalora, PPTS of 11 Mar 2013)

Sources of muon Mis-ID (Decay-in-flight on MC) (M. Schut and X. CId Vidal, PPTS of 2 Dec 2013)

Improvements in Muon ID (L. Anderlini and G. Graziani, PPTS of 2 Dec 2013)

Muon ID performance estimate in upgrade conditions (M. Palutan, B. Sciascia, R. Vazquez Gomez, PPTS of 2 Dec 2013)

Charge Asymmetry

Effect of PID on charge asymmetry in D+ ->K-pi+pi+ (The canary in the RICH) (H. Gordon and A. Powell, PPTS of 10 Dec 2012)

Stripping line for proton detection asymmetries (A. Pearce, P. Spradlin, S. Easo, PPTS 26 Aug 2013)

Charge Asymmetries in unbiased long tracks (P. Koppenburg, PPTS 26 Aug 2013)

Detection Asymmetries (M. Vesterinen, PPTS 7 Oct 2013)

Muon efficiencies, fake rates and asymmetries in 2012 data (C. Hadjivasiliou and M. Artuso, PPTS 7 Oct 2013)

Proton

Proton ID calibration (M. Coombes, PPTS of 14 Jan 2013)

Proton PID calibration with μ -tagged Λ c → pK (M. Vesterinen, PPTS of 18 Mar 2013)

Areogel discussion (RICH operation meeting of 12 Feb 2014)

Stripping line for proton detection asymmetries

A Stripping line devoted to the proton detection asymmetry has been presented at the PPTS 26 August 2013 and again at the Workshop on Beauty baryons at LHCb, 22 January 2014. An update has been discussed at WG SL meeting, 16 July 2014.

Combined PID and PIDCalib

PID Calibration and Mass Position & Resolution (C. Elsasser, PPTS of 8 Apr 2013)

PID calibration on R14S20 (P. Hunt and J. Otalora, PPTS session during 51th A&S week)

PID on 2015 (C. Jones, joint OPG/PPTS Meeting 25/11/2013 on 2015 restart)

Auto(magically) draw decay trees

"Auto(magically) draw decay trees" is a tool developed by Paul Seyfert. This Twiki page describes the background MC tree plotter presented for the first time at this PPTS meeting.

About alignment

This the link to the Twiki page for 2015 data.

Sub-detectors

The following section provide links to the latest information of the individual sub-systems (Twiki pages and to some general information).

RICH

Details on the RICH software and performance can be found here.

RICH Twiki page

PID performance plots, for the various reconstruction versions and datasets, can be found on the RICH-Online twiki page.

A good summary talk on PID performance in 2012 by Andrew Powell.

PPTS presentation describing RICH alignment for Run2 can be found here.

Calorimeters

Calo Twiki page (here the old page) and link to the Calo Objects Twiki page.

Online calibration for Run2 have presented here.

Muon system

The Muon System Software web pages can be found here.

Muon link to the Muon page.

HLT

General information about LHCb High Level Trigger can be found here.

The HLT incorporates RICH particle identification calculations that are designed to be faster than those used for the offline reconstruction, which is necessary due to the timing constraints imposed on the HLT. Detailed information can be found in the LHCb-PUB-2014-038 note.

Software

Full details on how particle ID is implemented in the LHCb, in the reconstruction application Brunel and the DaVinci Analysis framework, can be found here.

For tests on the StrippingLines see here: link

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  The PID information obtained separately from the muon, RICH, and calorimeter systems is combined to provide a single set of more powerful variables. Two different approaches are used. In the first method (DLL variables) the likelihood information produced by each sub-system is simply added linearly, to form a set of combined likelihoods. These variables give a measure of how likely the mass hypothesis under consideration is, for any given track, relative to the pion hypothesis. A second approach (ProbNN variables) has been subsequently developed to improve upon the simple log likelihood variables both by taking into account correlations between the detector systems and also by including additional information. This is carried out using multivariate techniques, combining PID information from each sub-system into a single probability value for each particle hypothesis.
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Detailed information about the ProbNN approach can be found in this presentation; some comparative study of DLL versus ProbNN variable performance can be found here (A. Pearce, PPTS of 8 Jul 2013) and here (A. Hicheur, PID workshop, Jan 2014)
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Detailed information about the ProbNN approach can be found in this presentation by Chris, slide 10; information about the Run 2 version of the ProbNN variables can be found in this presentaion by Chris (slide 11)Some comparative study of DLL versus ProbNN variable performance (Run 1) can be found here (A. Pearce, PPTS of 8 Jul 2013) and here (A. Hicheur, PID workshop, Jan 2014)
  ProbNN variables use information from the tracking and the 3 PID systems, CALO RICH and MUON. The variables used as input for the ProbNN can be found here, actually sued at runtime to list what variables are used

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  PPTS meetings: PPTS Indico category under LHCb Meetings Indico category
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Documentation

PID samples in Run2 public note: LHCb-PUB-2016-005

TurboCalib stream public note: LHCb-PUB-2016-020

PIDCalib internal note: LHCb-INT-2016-028

PIDCalib public note: LHCb-PUB-2016-021

WG production internal note (in preparation): LHCb-INT-2016-029

 

Workshops

PID workshop

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  The tasks may be considered as part of the effort required during 2013-14 (and beyond) to maximize the physics potential of the existing data, and to prepare for higher energy collisions. The concept was outlined in a talk at the LHCb week, 7 September 2012, and further details were given in this talk.
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PID corrections: some good guidelines

The recent analysis "Observation of the annihilation decay mode B0→K+K−" performed a detailed study on PID performance that can be considered a good guideline also for other analysis. The final version of the ANA-NOTE will appear here while the latest version is available here (for PID see Sections 4, 7.1.5, 8.9, and 9.5).

 

Review of PID lines for Run2 (for both Stripping and HLT)

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 here and here.
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A new resampling tool is available in GitHub thanks to Igor Babuschkin and Konstantin Schubert. The aim of this project is to simplify and accelerate the tedious task of resampling PIDs and other variables. This package resamples PID variables one by one. Therefore it doesn't reflect the correlations between them, except for those that already originate from correlations to the kinematic variables that we resample from. Project and full information can be found here.
 

Electron samples in PIDCalib

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 2012 and 2011 years.
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Calibration data for 2015 Early Measurement

Information about PID samples useful for 2015 Early Measurement can be found here .

 

PID topics

This section collects information relative to specific PID topics; for some a specific task has been assigned (see table below).

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  The list of HLT PID lines can be found here.
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A file with a summary of PID for Run2 is attached at the end.

A public note with the HLT2 selections for PID calibration samples can be found here

 

Online monitors from physics.

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Calorimeters

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Calo Twiki page (here the old page) and link to the Calo Objects Twiki page.
  Online calibration for Run2 have presented here.

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Conveners: Barbara Sciascia, Marianna Fontana
 

General information

Particle identification in LHCb is provided by four different detectors: the calorimeter system, the two RICH detectors and the muon stations.

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  Here a link to very old (2005/2006) information.
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Conferences

If you are interested in any of these or you want to suggest a conference we've missed, please get in touch with us!

Previous Talks/Posters & Proceedings

A list of talks recently given at detector and software conferences can be found at this [[][page]].

Plots for conference

Useful figures to describe PID development and performance page.

Submitted Abstracts

A list of abstract submitted to conferences in the past can be found at this [[][page]].

 

PID liaisons

The Physics Analysis Working Groups provide liaisons to the Physics Performance Working Groups, like PID, and other key areas.

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 To see which tune performs better in a specific analysis it is useful that the MCTuneV2 and MCTuneV3 might coexist. Users can directly compare themselves the two tunings by means of the new TupleTool TupleToolANNPID. This tool can be configured with a list of tunes, and will add each (with the tune in the variable name) to each stable particle you ask it to. The values are computed on the fly, rather than relying on the values saved in the ProtoParticles, and thus is able to save more than one tuning at the same time, which previously was not possible.
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Tip on DLL values (i.e. Why there is a peak at PIDx == 0?)

The reason for the peak is any DLL is the difference between two species, one normally being pion. So PIDk is actually DLL(K-pi).

If the expected signature of the RICHes is below Cherenckov threshold for both species, no Cherenkov light is emitted and the signature for both is the same. In short RICH cannot tell them apart and the DLL(K-pi) == 0. precisely. Note that in Run2 the spike at 0 will be much larger than it was in Run1, due to the fact Aerogel has been removed and thus the effective momentum thresholds for a number of tracks will be increased (defined by C4C10 instead of Aerogel).

Practically, placing a cut (< or >) at precisely 0 is a bad idea because this means to cut on a delta function. The correct approach is to demand at least one of the two mass hypotheses in the DLL difference is above threshold as this is enough to make sure the signatures in the RICHes will be different, and thus the DLL is not 0. The "above threshold" request can be made either via the RichPID data objects (which have methods to do this) or via a direct momentum cut

 

Charge asymmetry

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MC resampling tool PID Write python scripts M. Tresch,V. Rives Molina, A. Contu No/On going  
Electron in PIDCalib PID Add in PIDCalib electron samples from J/psi -> ee decays; add to the other samples the variables to be tested against the electron hypothesis T. Bird, S. Malde Closed M-H Shune, A. Shire
Disk space PID/Computing Find a stable destination of the PIDCalib data sets; present version uses /castor area of the user who produced the sample S. Malde Closed B. Couturier
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Unify Hlt-Offline MuonID PID/Hlt Unification and optimization of MuonID in Hlt and Offline Task force leads by R. Vazquez Gomez No/On going  
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Unify Hlt-Offline MuonID PID/Hlt Unification and optimization of MuonID in Hlt and Offline Task force leads by R. Vazquez Gomez Closed  
 

Miscellanea

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Muon ID

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Link at the MuonID Twiki Page

 Overview of MuonID by B. Sciascia (PPTS session during 49th A&S week)

Muon-PIDCalib and MuonID performance in 2011 and 2012 data (J. Otalora, PPTS of 11 Mar 2013)

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  "Auto(magically) draw decay trees" is a tool developed by Paul Seyfert. This Twiki page describes the background MC tree plotter presented for the first time at this PPTS meeting.
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About alignment

This the link to the Twiki page for 2015 data.
 

Sub-detectors

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  A good summary talk on PID performance in 2012 by Andrew Powell.
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PPTS presentation describing RICH alignment for Run2 can be found here.
 

Calorimeters

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Calo Twiki page and link to the Calo Objects Twiki page.

Online calibration for Run2 have presented here.

 

Muon system

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  All is here: https://twiki.cern.ch/twiki/bin/view/LHCb/PIDCalibPackage, with very clear instructions: have a look!
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  Description of some technical improvements in PIDCalib can be found here. From this work the proposal for a TrigCalib tool, equivalent to PIDCalib but for trigger efficiency/performance evaluation.
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 Discussion about efficiency obtained from sPlot and its possible bias by M. Schmelling and O. Schneider See also sFit: concept, implementation and possible pitfalls from Y. Xie at the 50th A&S week (Jan 2013).
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Calibration data

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Review of PID lines for Run2 (for both Stripping and HLT)

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 Ongoing work for the PID lines in HLT.
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The status of the Stripping lines that are part of the Calibration stream are kept under control by the Calibration-Stripping liaison in this Twiki page.
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The status of the Stripping lines that are part of the Calibration stream are kept under control by the Calibration-Stripping liaison in this Twiki page.
  The list of the Turbo lines can be found here.

The list of HLT PID lines can be found here.

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Online monitors from physics.

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Auto(magically) draw decay trees

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Sub-detectors

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  The list of the Turbo lines can be found here.
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The list of HLT PID lines can be found here.
 

Online monitors from physics.

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 The tasks may be considered as part of the effort required during 2013-14 (and beyond) to maximize the physics potential of the existing data, and to prepare for higher energy collisions. The concept was outlined in a talk at the LHCb week, 7 September 2012, and further details were given in this talk.

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Review of PID lines for 2015 (for both Stripping and HLT)

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Review of PID lines for Run2 (for both Stripping and HLT)

 Ongoing work for the PID lines in HLT.
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 The list of the Turbo lines can be found here.
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  PID on 2015 (C. Jones, joint OPG/PPTS Meeting 25/11/2013 on 2015 restart)
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Auto(magically) draw decay trees

"Auto(magically) draw decay trees" is a tool developed by Paul Seyfert. This Twiki page describes the background MC tree plotter presented for the first time at this PPTS meeting.

 

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Review of PID lines for 2015 (for both Stripping and HLT)

Ongoing work for the PID lines in HLT.
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The list of the Turbo lines can be found here.
 

Online monitors from physics.

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 (from ... stripping line) covers the higher kinematic region.

Detailed information about each stripping line can be found in the

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Stripping Project page.
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Stripping Project page (Useful link to svn repository).
 Stripping 21, released autumn 2014, is the legacy stripping for Run1 data, collected in 2012 and 2011 years.
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  The tasks may be considered as part of the effort required during 2013-14 (and beyond) to maximize the physics potential of the existing data, and to prepare for higher energy collisions. The concept was outlined in a talk at the LHCb week, 7 September 2012, and further details were given in this talk.
Changed:
<
<
#PIDlines2015
>
>
 

Review of PID lines for 2015 (for both Stripping and HLT)

Ongoing work for the PID lines in HLT.

Revision 372015-04-17 - BarbaraSciascia

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID

Line: 190 to 190
 

MC resampling tool

Added:
>
>
A first study of a MC calibration for the PID variables can be found in this talk, slides from 3 to 7.
 Need of corrected PID distributions in Monte Carlo e.g. to include them in a multi‐variate tool (BDTs..). First tool developed by BKstmumu working group for internal use only; here some documentation.

Revision 362015-04-17 - BarbaraSciascia

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LHCb Global Particle ID

Line: 77 to 77
 Discussion about efficiency obtained from sPlot and its possible bias by M. Schmelling and O. Schneider See also sFit: concept, implementation and possible pitfalls from Y. Xie at the 50th A&S week (Jan 2013).
Added:
>
>
A detailed discussion about PID calibration uncertainties can be found in Sect. 8.1 of this ANA note.
 

Calibration data

Revision 352015-04-08 - BarbaraSciascia

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  Good examples of information/reports from liaisons: BnoC, SL, Flavor tagging, QEE.
Added:
>
>
Also this talk (prepared by the BnoC WG foe the A&S week in Oct 2013) is a very good example of "propagation of information".
 

PIDcalib

Revision 342015-04-08 - BarbaraSciascia

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LHCb Global Particle ID

Line: 63 to 63
  All is here: https://twiki.cern.ch/twiki/bin/view/LHCb/PIDCalibPackage, with very clear instructions: have a look!
Changed:
<
<
A comprehensive presentation (Jan 2014) can be found here.
>
>
A dated but very good tutorial can be found here. A comprehensive presentation (Jan 2014) can be found here.
  Description of some technical improvements in PIDCalib can be found here. From this work the proposal for a TrigCalib tool, equivalent to PIDCalib but for trigger efficiency/performance evaluation.

Revision 332015-04-01 - BarbaraSciascia

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Line: 206 to 206
 

New proton samples in PIDCalib

Changed:
<
<
Add in PIDCalib proton samples from Λ_c decays (Existing coverage of Λ-> p pi samples has poor kinematic overlap with heavy physics decays)
>
>
Add in PIDCalib proton samples from Λ_c decays (Existing coverage of Λ-> p pi samples has poor kinematic overlap with heavy physics decays).

See also this presentation to know about the real increase of available proton statistics in the new samples.

 

Repository of PIDCalib data set

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Line: 1 to 1
 
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Line: 356 to 356
 Full details on how particle ID is implemented in the LHCb, in the reconstruction application Brunel and the DaVinci Analysis framework, can be found here.
Added:
>
>
For tests on the StrippingLines see here: link
 

Revision 312015-03-27 - BarbaraSciascia

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  • Even if the matter is discussed also at the PPG, notify the PID conveners about the request of MC samples related to the PID.
  • Notify in advance the PID conveners when there are important presentations/analyses concerning PID, to let the conveners decide whether to join the physics WG meeting and follow the relevant presentations.
Added:
>
>
Good examples of information/reports from liaisons: BnoC, SL, Flavor tagging, QEE.
 

PIDcalib

Line: 96 to 98
  The tasks may be considered as part of the effort required during 2013-14 (and beyond) to maximize the physics potential of the existing data, and to prepare for higher energy collisions. The concept was outlined in a talk at the LHCb week, 7 September 2012, and further details were given in this talk.
Added:
>
>
#PIDlines2015

Review of PID lines for 2015 (for both Stripping and HLT)

Ongoing work for the PID lines in HLT.
 

Online monitors from physics.

Line: 176 to 183
  Produce a short document to describe the PIDCalib package beyond the regularly updated Twiki page.
Deleted:
<
<
#MCtool

MC resampling tool

 
Added:
>
>

MC resampling tool

  Need of corrected PID distributions in Monte Carlo e.g. to include them in a multi‐variate tool (BDTs..). First tool developed by BKstmumu working group for internal use only;

Revision 302015-03-18 - BarbaraSciascia

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LHCb Global Particle ID

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 Particle identification in LHCb is provided by four different detectors: the calorimeter system, the two RICH detectors and the muon stations. These pages are for the LHCb Global Particle ID, the combination of the individual sub-detector PID performance measures into a single source of information to be used by the physics applications.
Changed:
<
<
A good introduction (at PhD student level) to the Particle Identification in LHCb can be found in this lecture.
>
>
A good introduction (at PhD student level) to the Particle Identification in LHCb can be found in this lecture.
 A concise and updated description of the Particle Identification in LHCb can be found in Section 4 of the LHCb Performance paper. In particular, Section 4.4 of the same document
Line: 56 to 56
 
  • Even if the matter is discussed also at the PPG, notify the PID conveners about the request of MC samples related to the PID.
  • Notify in advance the PID conveners when there are important presentations/analyses concerning PID, to let the conveners decide whether to join the physics WG meeting and follow the relevant presentations.
Added:
>
>

PIDcalib

All is here: https://twiki.cern.ch/twiki/bin/view/LHCb/PIDCalibPackage, with very clear instructions: have a look!

A comprehensive presentation (Jan 2014) can be found here.

Description of some technical improvements in PIDCalib can be found here. From this work the proposal for a TrigCalib tool, equivalent to PIDCalib but for trigger efficiency/performance evaluation.

PIDCalib: issue with systematics (P. Hunt and J. Otalora, PPTS of 8 Jul 2013 devoted to PID); here some technical detail.

PIDCalib in-depth talk (P. Hunt, PPTS 11 Nov 2013)

Discussion about efficiency obtained from sPlot and its possible bias by M. Schmelling and O. Schneider See also sFit: concept, implementation and possible pitfalls from Y. Xie at the 50th A&S week (Jan 2013).

 

Calibration data

Particle identification performance can be measured from data using the tag-and-probe method on suitable control samples:

Line: 94 to 112
 Use the following mailling list: lhcb-muonID-HLT-offline@cern.ch for discussion and information exchange.

Changed:
<
<

Combined variables

>
>

Combined variables: DLL and ProbNN

  The PID information obtained separately from the muon, RICH, and calorimeter systems is combined to provide a single set of more powerful variables. Two different approaches are used. In the first method (DLL variables) the likelihood information produced by each sub-system is simply added linearly, to form a set of combined likelihoods. These variables give a measure of how likely the mass hypothesis under consideration is, for any given track, relative to the pion hypothesis. A second approach (ProbNN variables) has been subsequently developed to improve upon the simple log likelihood variables both by taking into account correlations between the detector systems and also by including additional information. This is carried out using multivariate techniques, combining PID information from each sub-system into a single probability value for each particle hypothesis.
Changed:
<
<
Some details about the latter approach can be found here. Here a first comparative study of DLL and ProbNN variable performance.
>
>
Detailed information about the ProbNN approach can be found in this presentation; some comparative study of DLL versus ProbNN variable performance can be found here (A. Pearce, PPTS of 8 Jul 2013) and here (A. Hicheur, PID workshop, Jan 2014)
 
Changed:
<
<
The training of ProbNN variables is done using MC inclusive B events. Actual performance depends on the tuning (blending of MC samples) used. Now MCTuneV2 and MCTuneV3 tunings are available, that have different performance (ID and/or misID) and can be used simultaneously, the choice depending on the specific analysis (have a look to slides 18-23 here for a summary of electron ID performance with the two tunings).
>
>
ProbNN variables use information from the tracking and the 3 PID systems, CALO RICH and MUON. The variables used as input for the ProbNN can be found here, actually sued at runtime to list what variables are used (looking at a specific file: the first 5 lines are other settings, the inputs start on the 6th; lines with a # at the start are commented out, so not used). The names in these files can then be match to actually know how data are extracted by looking at this file, which shows the mapping between the name and a helper class, and then to this which shows exactly what each helper does.

The training of ProbNN variables is done using MC inclusive B events. Actual performance depends on the tuning (blending of MC samples) used. A large collection of information on the various tunes can be found digging in this folder. For general purposes MCTuneV2 and MCTuneV3 tunings are available, that have different performance (ID and/or misID) and can be used simultaneously, the choice depending on the specific analysis. The main difference between MC12TuneV3 and MC12TuneV2 is that ghosts have been removed from the training samples (explicitly the ghost have been removed from the backgrounds of all the networks excluding the ghost one). This leads to an improvement in the performance for electrons (have a look to slides 18-23 here for a summary of electron ID performance with the two tunings) while for the other particles it is not that simple to say whether MCTuneV2 or MCTuneV3 is best.

To see which tune performs better in a specific analysis it is useful that the MCTuneV2 and MCTuneV3 might coexist. Users can directly compare themselves the two tunings by means of the new TupleTool TupleToolANNPID. This tool can be configured with a list of tunes, and will add each (with the tune in the variable name) to each stable particle you ask it to. The values are computed on the fly, rather than relying on the values saved in the ProtoParticles, and thus is able to save more than one tuning at the same time, which previously was not possible.

 

Charge asymmetry

Line: 212 to 235
 

Miscellanea

Changed:
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<
The following is a collection of links to presentations (typically at PPTS meetings) more o less related to PID. Sooner or later the material should be organized in a more user-friendly way
>
>
The following is an organized collection of links to presentations (typically at PPTS meetings) more o less related to PID.
 

L0muon

Line: 275 to 298
  Areogel discussion (RICH operation meeting of 12 Feb 2014)
Added:
>
>

Stripping line for proton detection asymmetries

A Stripping line devoted to the proton detection asymmetry has been presented at the PPTS 26 August 2013 and again at the Workshop on Beauty baryons at LHCb, 22 January 2014. An update has been discussed at WG SL meeting, 16 July 2014.

 

Combined PID and PIDCalib

Line: 282 to 309
  PID calibration on R14S20 (P. Hunt and J. Otalora, PPTS session during 51th A&S week)
Deleted:
<
<
DLL versus ProbNN comparison (A. Pearce, PPTS of 8 Jul 2013 devoted to PID)

PIDCalib: issue with systematics (P. Hunt and J. Otalora, PPTS of 8 Jul 2013 devoted to PID); here some technical detail.

PIDCalib in-depth talk (P. Hunt, PPTS 11 Nov 2013)

 PID on 2015 (C. Jones, joint OPG/PPTS Meeting 25/11/2013 on 2015 restart)
Deleted:
<
<
Discussion about efficiency obtained from sPlot and its possible bias by M. Schmelling and O. Schneider See also sFit: concept, implementation and possible pitfalls from Y. Xie at the 50th A&S week (Jan 2013).
 

Line: 331 to 349
 Full details on how particle ID is implemented in the LHCb, in the reconstruction application Brunel and the DaVinci Analysis framework, can be found here.
Deleted:
<
<

PIDcalib

All is here: https://twiki.cern.ch/twiki/bin/view/LHCb/PIDCalibPackage, with very clear instructions: have a look!

A comprehensive presentation (Jan 2014) can be found here.

Description of some technical improvements in PIDCalib can be found here. From this work the proposal for a TrigCalib tool, equivalent to PIDCalib but for trigger efficiency/performance evaluation.

 

Revision 292015-03-18 - BarbaraSciascia

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  A synthetic introduction to detector asymmetries can be found here (LHCb week, February 2013) and here (PID workshop, January 2014) for aspects more related to PID.
Deleted:
<
<
Other useful information:
 Charge asymmetry has been studied in detail using D+ -> K-π+π+ events (see this talk, December 2012).

An internal note on measurement of the kaon detection asymmetry using double-tagged partially reconstructed D0 decays.

Line: 123 to 121
  An internal note about the measurement of the Kπ detection asymmetry.
Added:
>
>
Tracking asymmetry (P. Koppenburg, PPTS 11 March 2013)

Charge asymmetry versus φ (P. Koppenburg, PPTS 17 June 2013)

Asymmetries in NoBias data (P. Koppenburg, PPTS 26 August 2013)

 #protonID

Proton ID

Revision 282015-03-17 - BarbaraSciascia

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Electron samples in PIDCalib

Changed:
<
<
Add in PIDCalib electron samples from J/psi -> ee decays; add to the other samples the variables to be tested against the electron hypothesis.
>
>
Add in PIDCalib electron samples from J/ψ -> ee decays; add to the other samples the variables to be tested against the electron hypothesis.
  A summary of the electron PID before the work described in this task can be found here. First results were presented at the PPTS, 26 May 2014.
Line: 221 to 221
  Charged PID 2012. Status report (C. Jones, 48th A&S week, 24 Apr 2012)
Changed:
<
<
MC calibration of g/pi0 separation by M. Hoballah (PPTS session during 49th A&S week, three PID contributions)
>
>
MC calibration of γ/π0 separation (M. Hoballah, PPTS session during 49th A&S week)

New Tools for Conversions and Bremsstrahlung (E. Tournefier, PPTS of 3 Dec 2012)

The photon ID revisited (M. Hoballah, PPTS of 15 Jul 2013)

 

Charged PID

PPTS of 14 May 2012 Charged PID session with contributions from all physics WG

Changed:
<
<
PID session in the Sudetector reports, 4 Sept 2012, LHCb week Davos (contributions from Calo, RICH, and Muon)
>
>
PID session in the Subdetector reports, 4 Sept 2012, LHCb week Davos (contributions from Calo, RICH, and Muon)
 

RICH ID

RICH PID performance in 2012 by A. Powell (PPTS session during 49th A&S week, three PID contributions)

Muon ID

Changed:
<
<
Overview of MuonID by B. Sciascia (PPTS session during 49th A&S week, three PID contributions)
>
>
Overview of MuonID by B. Sciascia (PPTS session during 49th A&S week)
 
Changed:
<
<
PPTS of 3 Dec 2012 New Tools for Conversions and Bremsstrahlung by E. Tournefier
>
>
Muon-PIDCalib and MuonID performance in 2011 and 2012 data (J. Otalora, PPTS of 11 Mar 2013)
 
Changed:
<
<
PPTS of 10 Dec 2012 Effect of PID on charge asymmetry in D+ ->K-pi+pi+ (The canary in the RICH) by H. Gordon and A. Powell
>
>
Sources of muon Mis-ID (Decay-in-flight on MC) (M. Schut and X. CId Vidal, PPTS of 2 Dec 2013)
 
Changed:
<
<
PPTS of 14 Jan 2013 Proton ID calibration, by M. Coombes
>
>
Improvements in Muon ID (L. Anderlini and G. Graziani, PPTS of 2 Dec 2013)
 
Changed:
<
<
PPTS of 11 Mar 2013 Muon-PIDCalib and MuonID performance in 2011 and 2012 data by J. Otalora
>
>
Muon ID performance estimate in upgrade conditions (M. Palutan, B. Sciascia, R. Vazquez Gomez, PPTS of 2 Dec 2013)
 
Changed:
<
<
PPTS of 18 Mar 2013 Proton PID calibration with μ -tagged Λ c → pK by M. Vesterinen
>
>

Charge Asymmetry

 
Changed:
<
<
PPTS of 8 Apr 2013 PID Calibration and Mass Position & Resolution by C. Elsasser
>
>
Effect of PID on charge asymmetry in D+ ->K-pi+pi+ (The canary in the RICH) (H. Gordon and A. Powell, PPTS of 10 Dec 2012)
 
Changed:
<
<
PPTS session during 51th A&S week PID calibration on R14S20 by P. Hunt and J. Otalora
>
>
Stripping line for proton detection asymmetries (A. Pearce, P. Spradlin, S. Easo, PPTS 26 Aug 2013)
 
Changed:
<
<
PPTS of 8 Jul 2013 devoted to PID:
>
>
Charge Asymmetries in unbiased long tracks (P. Koppenburg, PPTS 26 Aug 2013)
 
Changed:
<
<
DLL versus ProbNN comparison by A. Pearce
>
>
Detection Asymmetries (M. Vesterinen, PPTS 7 Oct 2013)
 
Changed:
<
<
PID Calib: Issue with systematics by P. Hunt and J. Otalora;
>
>
Muon efficiencies, fake rates and asymmetries in 2012 data (C. Hadjivasiliou and M. Artuso, PPTS 7 Oct 2013)
 
Deleted:
<
<
here some technical detail.
 
Changed:
<
<
PPTS of 15 Jul 2013 The photon ID revisited by M. Hoballah
>
>

Proton

 
Changed:
<
<
PPTS 26 Aug 2013:
>
>
Proton ID calibration (M. Coombes, PPTS of 14 Jan 2013)
 
Changed:
<
<
Stripping line for proton detection asymmetries by A. Pearce, P. Spradlin, S. Easo
>
>
Proton PID calibration with μ -tagged Λ c → pK (M. Vesterinen, PPTS of 18 Mar 2013)
 
Changed:
<
<
Charge Asymmetries in unbiased long tracks by P. Koppenburg
>
>
Areogel discussion (RICH operation meeting of 12 Feb 2014)
 
Deleted:
<
<
PPTS 7 Oct 2013:
 
Changed:
<
<
Detection Asymmetries by M. Vesterinen
>
>

Combined PID and PIDCalib

 
Changed:
<
<
Muon efficiencies, fake rates and asymmetries in 2012 data by C. Hadjivasiliou and M. Artuso
>
>
PID Calibration and Mass Position & Resolution (C. Elsasser, PPTS of 8 Apr 2013)
 
Changed:
<
<
PPTS 11 Nov 2013 PIDCalib in-depth talk by P. Hunt
>
>
PID calibration on R14S20 (P. Hunt and J. Otalora, PPTS session during 51th A&S week)
 
Changed:
<
<
Joint OPG/PPTS Meeting 25/11/2013 on 2015 restart: PID by C. Jones
>
>
DLL versus ProbNN comparison (A. Pearce, PPTS of 8 Jul 2013 devoted to PID)
 
Changed:
<
<
PPTS of 2 Dec 2013
>
>
PIDCalib: issue with systematics (P. Hunt and J. Otalora, PPTS of 8 Jul 2013 devoted to PID); here some technical detail.
 
Changed:
<
<
Sources of muon Mis-ID (Decay-in-flight on MC) by M. Schut and X. CId Vidl
>
>
PIDCalib in-depth talk (P. Hunt, PPTS 11 Nov 2013)
 
Changed:
<
<
Improvements in Muon ID by L. Anderlini and G. Graziani

Muon ID performance estimate in upgrade conditions by M. Palutan, B. Sciascia, R. Vazquez Gomez

Areogel discussion in the RICH operation meeting of 12 Feb 2014

>
>
PID on 2015 (C. Jones, joint OPG/PPTS Meeting 25/11/2013 on 2015 restart)
  Discussion about efficiency obtained from sPlot and its possible bias by M. Schmelling and O. Schneider
Deleted:
<
<
 See also sFit: concept, implementation and possible pitfalls from Y. Xie at the 50th A&S week (Jan 2013).

Revision 272015-03-17 - BarbaraSciascia

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID

Line: 74 to 74
 

PID topics

Changed:
<
<
This section collects information relative to specific PID topics; for some a specific task has been assigned (see [[][table]] below).
>
>
This section collects information relative to specific PID topics; for some a specific task has been assigned (see table below).
  The tasks may be considered as part of the effort required during 2013-14 (and beyond) to maximize the physics potential of the existing data, and to prepare for higher energy collisions. The concept was outlined in a talk at the LHCb week, 7 September 2012, and further details were given in this talk.
Added:
>
>

Online monitors from physics.

Resurrect a study done by Patrick Koppenburg about the idea of monitor the Luminosity using B, D and J/psi production. Here and here some material presented at the PPTS (March 2012).

 

Common MuonID for HLT and offline reconstruction.

Line: 88 to 93
 Regular meeting held on Monday afternoon, 14.30-15.30. Use the following mailling list: lhcb-muonID-HLT-offline@cern.ch for discussion and information exchange.
Deleted:
<
<

Combined variables

 
Added:
>
>

Combined variables

  The PID information obtained separately from the muon, RICH, and calorimeter systems is combined to provide a single set of more powerful variables. Two different approaches are used. In the first method (DLL variables) the likelihood information produced by each sub-system is simply added linearly, to form a set of combined likelihoods. These variables give a measure of how likely the mass hypothesis under consideration is, for any given track, relative to the pion hypothesis. A second approach (ProbNN variables) has been subsequently developed to improve upon the simple log likelihood variables both by taking into account correlations between the detector systems and also by including additional information. This is carried out using multivariate techniques, combining PID information from each sub-system into a single probability value for each particle hypothesis.
Changed:
<
<
Some details about the latter approach can be found here.
>
>
Some details about the latter approach can be found here.
 Here a first comparative study of DLL and ProbNN variable performance.

The training of ProbNN variables is done using MC inclusive B events.

Line: 103 to 108
 (have a look to slides 18-23 here for a summary of electron ID performance with the two tunings).
Deleted:
<
<

Charge asymmetry

 
Added:
>
>

Charge asymmetry

  A synthetic introduction to detector asymmetries can be found here (LHCb week, February 2013) and here (PID workshop, January 2014) for aspects more related to PID.
Line: 125 to 130
  Contribution to the p-π separation from the Aerogel here, slides 13-19.
Deleted:
<
<

Photons and neutral objects

 
Added:
>
>

Photons and neutral objects

  Link at the Calo Objects Twiki Page
Line: 181 to 186
 including a careful check of PIDCalib results. Details can be found in these presentations given in September 2013 and June 2014. A concise description of the work can be found in Section 4 of this internal note.
Deleted:
<
<

PID related tasks

 
Added:
>
>

PID related tasks

 
<!--- questo non appare sulla pagina Twiki--->

The status of a task is identified by a color.

Line: 204 to 209
  The following is a collection of links to presentations (typically at PPTS meetings) more o less related to PID. Sooner or later the material should be organized in a more user-friendly way
Changed:
<
<
L0muon
>
>

L0muon

  L0muon efficiency (J. Cogan, PPTS 23 Jan 2012)

L0muon induced charge asymmetry (J. Cogan, PPTS 12 Mar 2012)

Changed:
<
<
PID
>
>

Neutral objects

  Calo Objects tool: status report (E. Tournefier, 48th A&S week, 23 Apr 2012)

Charged PID 2012. Status report (C. Jones, 48th A&S week, 24 Apr 2012)

Added:
>
>
MC calibration of g/pi0 separation by M. Hoballah (PPTS session during 49th A&S week, three PID contributions)

Charged PID

 PPTS of 14 May 2012 Charged PID session with contributions from all physics WG

PID session in the Sudetector reports, 4 Sept 2012, LHCb week Davos (contributions from Calo, RICH, and Muon)

Changed:
<
<
PPTS session during 49th A&S week, three PID contributions:

MC calibration of g/pi0 separation by M. Hoballah

>
>

RICH ID

 
Changed:
<
<
RICH PID performance in 2012 by A. Powell
>
>
RICH PID performance in 2012 by A. Powell (PPTS session during 49th A&S week, three PID contributions)
 
Changed:
<
<
Overview of MuonID by B. Sciascia
>
>

Muon ID

Overview of MuonID by B. Sciascia (PPTS session during 49th A&S week, three PID contributions)
  PPTS of 3 Dec 2012 New Tools for Conversions and Bremsstrahlung by E. Tournefier
Line: 242 to 250
  PPTS session during 51th A&S week PID calibration on R14S20 by P. Hunt and J. Otalora
Deleted:
<
<
PPTS of 6 May 2013 ANN PID Retuning for Reco14 Data by C. Jones
 PPTS of 8 Jul 2013 devoted to PID:

DLL versus ProbNN comparison by A. Pearce

Revision 262015-02-27 - BarbaraSciascia

Line: 1 to 1
 
META TOPICPARENT name="LHCbComputing"

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Line: 59 to 59
 

Calibration data

Particle identification performance can be measured from data using the tag-and-probe method on suitable control samples:

Changed:
<
<
Jpsi -> ee from b decays are used for electrons (from Jpsi2eeForElectronIDBu2JpsiKLine stripping line), Jpsi -> mumu from b decays are used for muons (from JpsiFromBNoPIDNoMip stripping line), and D0 -> K pi from the Dstar -> D0 pi decays are used for pions and kaons (NoPIDDstarWithD02RSKPi stripping line). For protons two samples are used: Lambda -> p pi decays (from Lam0LLLine1V0ForPID stripping line)
>
>
Jpsi -> ee from b decays are used for electrons (from Jpsi2eeForElectronIDBu2JpsiKLine stripping line), Jpsi -> mumu from b decays are used for muons (from JpsiFromBNoPIDNoMip stripping line), and D0 -> K pi from the Dstar -> D0 pi decays are used for pions and kaons (NoPIDDstarWithD02RSKPi stripping line). For protons two samples are used: Lambda -> p pi decays (from Lam0LLLine1V0ForPID stripping line)
 which has poor kinematic overlap with heavy physics decays, while the small sample of protons from Λ_c decays (from ... stripping line) covers the higher kinematic region.
Line: 72 to 72
 2012 and 2011 years.
Changed:
<
<

PID topics and tasks

>
>

PID topics

 
Changed:
<
<
This section collects information relative to specific PID topics; for some a specific task has been assigned.
>
>
This section collects information relative to specific PID topics; for some a specific task has been assigned (see [[][table]] below).
  The tasks may be considered as part of the effort required during 2013-14 (and beyond) to maximize the physics potential of the existing data, and to prepare for higher energy collisions. The concept was outlined in a talk at the LHCb week, 7 September 2012, and further details were given in this talk.
Deleted:
<
<
The status of a task is identified by a color. A completed task is green. A task taken and in progress is blue; contribution is always welcome, but it's better to focus on the ones still free. A task available or that requires more effort is red.
 
Added:
>
>
 

Common MuonID for HLT and offline reconstruction.

The current Hlt muonID algorithm and the offline muonID are different. This is one of the last places (if not the last) where this still happens. The goal is to maximize the sharing between both parts. 100% would be optimal but maybe not feasible due to heavy timing constrains at the trigger level.

Line: 92 to 89
 Use the following mailling list: lhcb-muonID-HLT-offline@cern.ch for discussion and information exchange.

Combined variables

Added:
>
>
  The PID information obtained separately from the muon, RICH, and calorimeter systems is combined to provide a single set of more powerful variables. Two different approaches are used. In the first method (DLL variables) the likelihood information produced by each sub-system is simply added linearly, to form a set of combined likelihoods. These variables give a measure of how likely the mass hypothesis under consideration is, for any given track, relative to the pion hypothesis. A second approach (ProbNN variables) has been subsequently developed to improve upon the simple log likelihood variables both by taking into account correlations between the detector systems and also by including additional information. This is carried out using multivariate techniques, combining PID information from each sub-system into a single probability value for each particle hypothesis.
Line: 106 to 104
 electron ID performance with the two tunings).

Charge asymmetry

Added:
>
>
  A synthetic introduction to detector asymmetries can be found here (LHCb week, February 2013) and here (PID workshop, January 2014) for aspects more related to PID.
Line: 119 to 118
  An internal note about the measurement of the Kπ detection asymmetry.
Added:
>
>
#protonID
 

Proton ID

The state of the art in January 2014: a comprehensive summary and one with details on source of detection asymmetry.

Line: 126 to 126
 Contribution to the p-π separation from the Aerogel here, slides 13-19.

Photons and neutral objects

Added:
>
>
  Link at the Calo Objects Twiki Page
Line: 136 to 137
 photon-pi0 separation. The latter is described also in INT-NOTE.
Deleted:
<
<
 
Changed:
<
<
<!--- questo non appare sulla pagina Twiki--->

PIDCalib Internal Note

>
>

PIDCalib Internal Note

  Produce a short document to describe the PIDCalib package beyond the regularly updated Twiki page.
Changed:
<
<
Task name PIDCalib
Lead (tools, or other) group PID
Task description Writing the note
Estimated total effort required (FTE)  
Start of working Yes, Dec 2014
Deadline  
People/groups currently involved Alex Pearce
New effort required? No
>
>
#MCtool

MC resampling tool

 
Deleted:
<
<

MC resampling tool

  Need of corrected PID distributions in Monte Carlo e.g. to include them in a multi‐variate tool (BDTs..). First tool developed by BKstmumu working group for internal use only;
Line: 164 to 156
 here and here.
Changed:
<
<
Task name MC resampling tool
Lead (tools, or other) group PID
Task description Write python scripts
Estimated total effort required (FTE) 0.3 FTE for 4 months.
Start of working Yes, Mar 2014
Deadline ASAP
People/groups currently involved Marco Tresch,Vicente Rives Molina, Andrea Contu
New effort required? No

Electron samples in PIDCalib

>
>

Electron samples in PIDCalib

  Add in PIDCalib electron samples from J/psi -> ee decays; add to the other samples the variables to be tested against the electron hypothesis.

A summary of the electron PID before the work described in this task can be found here. First results were presented at the PPTS, 26 May 2014.

Changed:
<
<
Task name Electron in PIDCalib
Lead (tools, or other) group PID
Other relevant groups (if any) Neutral objects
Task description Add in PIDCalib electron samples from J/psi -> ee decays; add to the other samples the variables to be tested against the electron hypothesis
Estimated total effort required (FTE) 0.3 FTE for 4 months.
Start of working Yes, Jan 2014
Deadline ASAP
People/groups currently involved Thomas Bird, Sneha Malde
Past studies and/or expertise from Marie Hélène Shune, Alex Shire
Link ANN PID returning for Reco14 data

New proton samples in PIDCalib

>
>

New proton samples in PIDCalib

  Add in PIDCalib proton samples from Λ_c decays (Existing coverage of Λ-> p pi samples has poor kinematic overlap with heavy physics decays)
Changed:
<
<
Task name New Proton samples in PIDCalib
Lead (tools, or other) group PID
Task description Add in PIDCalib proton samples from Λ_c decays (Existing coverage of Λ-> p pi samples has poor kinematic overlap with heavy physics decays)
Estimated total effort required (FTE) 0.3 FTE for 4 months.
Start of working Yes, Jan 2014
Deadline ASAP
People/groups currently involved Stephen Ogilvy, Sneha Malde, Yanxi Zhang
Past studies and/or expertise from Mika Vesterinen, Laurence Carlson
New effort required? No

Repository of PIDCalib data set

>
>

Repository of PIDCalib data set

  Find a stable destination of the PIDCalib data sets; present version uses /castor area of the user who produced the sample
Added:
>
>
It seems that the best solution is to stored the files on EOS, at CERN. Philippe is currently creating the storage element in DIRAC, and Joel will create a dirac group for PID calibration.
 
Changed:
<
<
Task name Disk space
Lead (tools, or other) group PID
Other relevant groups (if any) Computing
Task description Find a stable destination of the PIDCalib data sets; present version uses /castor area of the user who produced the sample
Estimated total effort required (FTE) N.A.
Start of working Yes, Feb 2014
Deadline ASAP
People/groups currently involved Sneha Malde
Past studies and/or expertise from Ben Couturier
Other comments It seems that the best solution is to stored the files on EOS, at CERN. Philippe is currently creating the storage element in DIRAC, and Joel will create a dirac group for PID calibration.

Updated fits in PIDCalib

>
>

Updated fits in PIDCalib

  The determination of the hadron PID misidentification probabilities is a key ingredient of the Bsmm analysis. For this the Bsmm group performed a detailed study of the muon ID and misID, including a careful check of PIDCalib results. Details can be found in these presentations given in September 2013 and June 2014. A concise description of the work can be found in Section 4 of this internal note.
Changed:
<
<
Task name Fit in PIDCalib
Lead (tools, or other) group Bsmm
Task description Check PIDCalib code against fits implemented in Bsmm analysis
Estimated total effort required (FTE)  
Start of working Yes, Sept 2013
Deadline ASAP
People/groups currently involved Matteo Palutan, Matteo Rama, Barbara Sciascia, Ricardo Vazquez Gomez
>
>

PID related tasks

<!--- questo non appare sulla pagina Twiki--->

The status of a task is identified by a color. A completed task is green. A task taken and in progress is blue; contribution is always welcome, but it's better to focus on the ones still free. A task available or that requires more effort is red.

Task name Lead (tools, or other) group Task description People/groups involved Effort/status Past studies and/or expertise from
Fit in PIDCalib Bsmm Check PIDCalib code against fits implemented in Bsmm analysis M. Palutan, M. Rama, B. Sciascia, R. Vazquez Gomez Closed  
PIDCalib INT-NOTE PID Writing the note A. Pearce No/On going  
New Proton samples in PIDCalib PID Add in PIDCalib proton samples from Λ_c decays (Existing coverage of Λ-> p pi samples has poor kinematic overlap with heavy physics decays) S. Ogilvy, S. Malde, No/On going M. Vesterinen, L. Carlson, Y. Zhang
MC resampling tool PID Write python scripts M. Tresch,V. Rives Molina, A. Contu No/On going  
Electron in PIDCalib PID Add in PIDCalib electron samples from J/psi -> ee decays; add to the other samples the variables to be tested against the electron hypothesis T. Bird, S. Malde Closed M-H Shune, A. Shire
Disk space PID/Computing Find a stable destination of the PIDCalib data sets; present version uses /castor area of the user who produced the sample S. Malde Closed B. Couturier
Unify Hlt-Offline MuonID PID/Hlt Unification and optimization of MuonID in Hlt and Offline Task force leads by R. Vazquez Gomez No/On going  
 

Miscellanea

Revision 252015-02-16 - BarbaraSciascia

Line: 1 to 1
 
META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID

Line: 74 to 74
 

PID topics and tasks

Added:
>
>
This section collects information relative to specific PID topics; for some a specific task has been assigned.

The tasks may be considered as part of the effort required during 2013-14 (and beyond) to maximize the physics potential of the existing data, and to prepare for higher energy collisions. The concept was outlined in a talk at the LHCb week, 7 September 2012, and further details were given in this talk.

The status of a task is identified by a color. A completed task is green. A task taken and in progress is blue; contribution is always welcome, but it's better to focus on the ones still free. A task available or that requires more effort is red.

 

Common MuonID for HLT and offline reconstruction.

The current Hlt muonID algorithm and the offline muonID are different. This is one of the last places (if not the last) where this still happens. The goal is to maximize the sharing between both parts. 100% would be optimal but maybe not feasible due to heavy timing constrains at the trigger level.

Line: 102 to 111
  Other useful information:
Changed:
<
<
Charge asymmetry has been studied in detail using D+ -> K-&p;+&p;+ events (see this talk, December 2012).
>
>
Charge asymmetry has been studied in detail using D+ -> K-π+π+ events (see this talk, December 2012).
  An internal note on measurement of the kaon detection asymmetry using double-tagged partially reconstructed D0 decays.
Line: 114 to 123
  The state of the art in January 2014: a comprehensive summary and one with details on source of detection asymmetry.
Changed:
<
<
Contribution to the p-&p; separation from the Aerogel here, slides 13-19.
>
>
Contribution to the p-π separation from the Aerogel here, slides 13-19.
 

Photons and neutral objects

Line: 128 to 137
 The latter is described also in INT-NOTE.

Deleted:
<
<
A set of tasks has been identified that require effort during 2013-14 (and beyond). These are important to maximize the physics potential of the existing data, and to prepare for higher energy collisions. The concept was outlined in a talk at the LHCb week, 7 September 2012, and further details were given in this talk.

A completed task is green. A task taken and in progress is blue; contribution is always welcome, but it's better to focus on the ones still free. A task available or that requires more effort is red.

 
<!--- questo non appare sulla pagina Twiki--->
Line: 142 to 146
 
Task name PIDCalib
Lead (tools, or other) group PID
Deleted:
<
<
Other relevant groups (if any)  
 
Task description Writing the note
Estimated total effort required (FTE)  
Start of working Yes, Dec 2014
Deadline  
People/groups currently involved Alex Pearce
Deleted:
<
<
Past studies and/or expertise from  
 
New effort required? No
Deleted:
<
<
Other comments  
 

MC resampling tool

Line: 165 to 166
 
Task name MC resampling tool
Lead (tools, or other) group PID
Deleted:
<
<
Other relevant groups (if any)  
 
Task description Write python scripts
Estimated total effort required (FTE) 0.3 FTE for 4 months.
Start of working Yes, Mar 2014
Deadline ASAP
People/groups currently involved Marco Tresch,Vicente Rives Molina, Andrea Contu
Deleted:
<
<
Past studies and/or expertise from  
 
New effort required? No
Deleted:
<
<
Other comments  
 

Electron samples in PIDCalib

Line: 190 to 188
 
Deadline ASAP
People/groups currently involved Thomas Bird, Sneha Malde
Past studies and/or expertise from Marie Hélène Shune, Alex Shire
Deleted:
<
<
New effort required? No
Other comments  
 
Link ANN PID returning for Reco14 data

New proton samples in PIDCalib

Line: 200 to 196
 
Task name New Proton samples in PIDCalib
Lead (tools, or other) group PID
Deleted:
<
<
Other relevant groups (if any)  
 
Task description Add in PIDCalib proton samples from Λ_c decays (Existing coverage of Λ-> p pi samples has poor kinematic overlap with heavy physics decays)
Estimated total effort required (FTE) 0.3 FTE for 4 months.
Start of working Yes, Jan 2014
Line: 208 to 203
 
People/groups currently involved Stephen Ogilvy, Sneha Malde, Yanxi Zhang
Past studies and/or expertise from Mika Vesterinen, Laurence Carlson
New effort required? No
Deleted:
<
<
Other comments  
 

Repository of PIDCalib data set

Line: 223 to 217
 
Deadline ASAP
People/groups currently involved Sneha Malde
Past studies and/or expertise from Ben Couturier
Deleted:
<
<
New effort required? No
 
Other comments It seems that the best solution is to stored the files on EOS, at CERN. Philippe is currently creating the storage element in DIRAC, and Joel will create a dirac group for PID calibration.

Updated fits in PIDCalib

Line: 233 to 226
 
Task name Fit in PIDCalib
Lead (tools, or other) group Bsmm
Deleted:
<
<
Other relevant groups (if any)  
 
Task description Check PIDCalib code against fits implemented in Bsmm analysis
Estimated total effort required (FTE)  
Start of working Yes, Sept 2013
Deadline ASAP
People/groups currently involved Matteo Palutan, Matteo Rama, Barbara Sciascia, Ricardo Vazquez Gomez
Changed:
<
<
Past studies and/or expertise from  
New effort required? No
Other comments  
>
>

Miscellanea

The following is a collection of links to presentations (typically at PPTS meetings) more o less related to PID. Sooner or later the material should be organized in a more user-friendly way

L0muon

L0muon efficiency (J. Cogan, PPTS 23 Jan 2012)

L0muon induced charge asymmetry (J. Cogan, PPTS 12 Mar 2012)

PID

Calo Objects tool: status report (E. Tournefier, 48th A&S week, 23 Apr 2012)

Charged PID 2012. Status report (C. Jones, 48th A&S week, 24 Apr 2012)

PPTS of 14 May 2012 Charged PID session with contributions from all physics WG

PID session in the Sudetector reports, 4 Sept 2012, LHCb week Davos (contributions from Calo, RICH, and Muon)

PPTS session during 49th A&S week, three PID contributions:

MC calibration of g/pi0 separation by M. Hoballah

RICH PID performance in 2012 by A. Powell

Overview of MuonID by B. Sciascia

PPTS of 3 Dec 2012 New Tools for Conversions and Bremsstrahlung by E. Tournefier

PPTS of 10 Dec 2012 Effect of PID on charge asymmetry in D+ ->K-pi+pi+ (The canary in the RICH) by H. Gordon and A. Powell

PPTS of 14 Jan 2013 Proton ID calibration, by M. Coombes

PPTS of 11 Mar 2013 Muon-PIDCalib and MuonID performance in 2011 and 2012 data by J. Otalora

PPTS of 18 Mar 2013 Proton PID calibration with μ -tagged Λ c → pK by M. Vesterinen

PPTS of 8 Apr 2013 PID Calibration and Mass Position & Resolution by C. Elsasser

PPTS session during 51th A&S week PID calibration on R14S20 by P. Hunt and J. Otalora

PPTS of 6 May 2013 ANN PID Retuning for Reco14 Data by C. Jones

PPTS of 8 Jul 2013 devoted to PID:

DLL versus ProbNN comparison by A. Pearce

PID Calib: Issue with systematics by P. Hunt and J. Otalora;

here some technical detail.

PPTS of 15 Jul 2013 The photon ID revisited by M. Hoballah

PPTS 26 Aug 2013:

Stripping line for proton detection asymmetries by A. Pearce, P. Spradlin, S. Easo

Charge Asymmetries in unbiased long tracks by P. Koppenburg

PPTS 7 Oct 2013:

Detection Asymmetries by M. Vesterinen

Muon efficiencies, fake rates and asymmetries in 2012 data by C. Hadjivasiliou and M. Artuso

PPTS 11 Nov 2013 PIDCalib in-depth talk by P. Hunt

Joint OPG/PPTS Meeting 25/11/2013 on 2015 restart: PID by C. Jones

PPTS of 2 Dec 2013

Sources of muon Mis-ID (Decay-in-flight on MC) by M. Schut and X. CId Vidl

Improvements in Muon ID by L. Anderlini and G. Graziani

Muon ID performance estimate in upgrade conditions by M. Palutan, B. Sciascia, R. Vazquez Gomez

Areogel discussion in the RICH operation meeting of 12 Feb 2014

Discussion about efficiency obtained from sPlot and its possible bias by M. Schmelling and O. Schneider

See also sFit: concept, implementation and possible pitfalls from Y. Xie at the 50th A&S week (Jan 2013).

 

Sub-detectors

Line: 290 to 365
 
Changed:
<
<
BarbaraSciascia - 2015-01-04
>
>
BarbaraSciascia - 2015-02-16
 
META FILEATTACHMENT attachment="ADFSlarge_prism.jpg" attr="h" comment="" date="1418975773" name="ADFSlarge_prism.jpg" path="ADFSlarge_prism.jpg" size="101533" user="bsciasci" version="1"

Revision 242015-02-09 - BarbaraSciascia

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID

Line: 11 to 11
 Particle identification in LHCb is provided by four different detectors: the calorimeter system, the two RICH detectors and the muon stations. These pages are for the LHCb Global Particle ID, the combination of the individual sub-detector PID performance measures into a single source of information to be used by the physics applications.
Added:
>
>
A good introduction (at PhD student level) to the Particle Identification in LHCb can be found in this lecture.
 A concise and updated description of the Particle Identification in LHCb can be found in Section 4 of the LHCb Performance paper. In particular, Section 4.4 of the same document synthetically describes the methods used to combine the information for charged particles in a single set of variables that provide optimal particle identification performance.
Added:
>
>
An event display can be an useful tool to understand the detector. This talk presents a new 3D online and offline event display; it uses platform independent technology and established standards.The offline version for tests can be found here.
 

Mailing lists

Questions or comments concerning Particle Identification may be sent to the following mailling list: lhcb-phys-PID-topics@cern.ch. Please use this mailing list for general PID topics.

Line: 44 to 47
 

PID liaisons

The Physics Analysis Working Groups provide liaisons to the Physics Performance Working Groups, like PID, and other key areas.

Changed:
<
<
The WG contacts are listed here. Some details about the PID liaison role can be found in this presentation (from 24 September 2014 PID meeting).
>
>
The WG contacts are listed here.Below a list of responsibilities for the PID liaisons (have a look also to this presentation, from 24 September 2014 PID meeting):

  • Attend the PID meetings (for now only "on demand" meetings, usually Wednesday 11am).
  • Regularly inform WG on status of PID, in particular announce the release of new version of PIDCalib package, and inform about the existence of new PID samples.
  • Collect from ongoing WG analyses, information and requirements related to PID, in particular for what concerns the evaluation of systematic effects.
  • Notify the PID conveners about the lack of PID calibration samples that could be useful in some WG analyses, in particular for what concerns statistics of the control samples and/or kinematic coverage.
  • Even if the matter is discussed also at the PPG, notify the PID conveners about the request of MC samples related to the PID.
  • Notify in advance the PID conveners when there are important presentations/analyses concerning PID, to let the conveners decide whether to join the physics WG meeting and follow the relevant presentations.
 

Calibration data

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LHCb Global Particle ID

Line: 259 to 259
  Muon link to the Muon page.
Added:
>
>

HLT

General information about LHCb High Level Trigger can be found here.

The HLT incorporates RICH particle identification calculations that are designed to be faster than those used for the offline reconstruction, which is necessary due to the timing constraints imposed on the HLT. Detailed information can be found in the LHCb-PUB-2014-038 note.

 

Software

Full details on how particle ID is implemented in the LHCb, in the reconstruction application Brunel and

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LHCb Global Particle ID

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  An internal note about the measurement of the Kπ detection asymmetry.
Deleted:
<
<

Muon mis-identification

 

Proton ID

The state of the art in January 2014: a comprehensive summary and one with details on source of detection asymmetry.

Line: 218 to 216
 
Past studies and/or expertise from Ben Couturier
New effort required? No
Other comments It seems that the best solution is to stored the files on EOS, at CERN. Philippe is currently creating the storage element in DIRAC, and Joel will create a dirac group for PID calibration.
Added:
>
>

Updated fits in PIDCalib

The determination of the hadron PID misidentification probabilities is a key ingredient of the Bsmm analysis. For this the Bsmm group performed a detailed study of the muon ID and misID, including a careful check of PIDCalib results. Details can be found in these presentations given in September 2013 and June 2014. A concise description of the work can be found in Section 4 of this internal note.

Task name Fit in PIDCalib
Lead (tools, or other) group Bsmm
Other relevant groups (if any)  
Task description Check PIDCalib code against fits implemented in Bsmm analysis
Estimated total effort required (FTE)  
Start of working Yes, Sept 2013
Deadline ASAP
People/groups currently involved Matteo Palutan, Matteo Rama, Barbara Sciascia, Ricardo Vazquez Gomez
Past studies and/or expertise from  
New effort required? No
Other comments  
 

Sub-detectors

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID

Line: 65 to 65
 

PID topics and tasks

Added:
>
>

Common MuonID for HLT and offline reconstruction.

The current Hlt muonID algorithm and the offline muonID are different. This is one of the last places (if not the last) where this still happens. The goal is to maximize the sharing between both parts. 100% would be optimal but maybe not feasible due to heavy timing constrains at the trigger level.

A task force with people from Offline and Trigger MuonID has been formed. Regular meeting held on Monday afternoon, 14.30-15.30. Use the following mailling list: lhcb-muonID-HLT-offline@cern.ch for discussion and information exchange.

 

Combined variables

The PID information obtained separately from the muon, RICH, and calorimeter systems is combined to provide a single set of more powerful variables. Two different approaches are used. In the first method (DLL variables) the likelihood information produced by each sub-system is simply added linearly, to form a set of combined likelihoods. These variables give a measure of how likely the mass hypothesis under consideration is, for any given track, relative to the pion hypothesis. A second approach (ProbNN variables) has been subsequently developed to improve upon the simple log likelihood variables both by taking into account correlations between the detector systems and also by including additional information. This is carried out using multivariate techniques, combining PID information from each sub-system into a single probability value for each particle hypothesis.

Line: 81 to 89
 

Charge asymmetry

Added:
>
>
A synthetic introduction to detector asymmetries can be found here (LHCb week, February 2013) and here (PID workshop, January 2014) for aspects more related to PID.

Other useful information:

Charge asymmetry has been studied in detail using D+ -> K-&p;+&p;+ events (see this talk, December 2012).

An internal note on measurement of the kaon detection asymmetry using double-tagged partially reconstructed D0 decays.

Detector asymmetry effects studied as systematic effects for a^D_SL measurement, presented here.

An internal note about the measurement of the Kπ detection asymmetry.

 

Muon mis-identification

Proton ID

Line: 89 to 109
  Contribution to the p-&p; separation from the Aerogel here, slides 13-19.
Deleted:
<
<
 

Photons and neutral objects

Changed:
<
<
Link at the Calo Objects Twiki Page
>
>
Link at the Calo Objects Twiki Page
  Here the state of the art in January 2014
Line: 100 to 118
 Presentation of useful tools: photonID and photon-pi0 separation.
Changed:
<
<
The latter is described also in INT-NOTE.
>
>
The latter is described also in INT-NOTE.
  A set of tasks has been identified that require effort during 2013-14 (and beyond). These are important to maximize the physics potential of the existing data, and to prepare for higher energy collisions. The concept was outlined in a talk at the LHCb week, 7 September 2012, and further details were given in this talk.

Revision 202015-01-05 - BarbaraSciascia

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META TOPICPARENT name="LHCbComputing"

LHCb Global Particle ID

Line: 45 to 44
 

PID liaisons

The Physics Analysis Working Groups provide liaisons to the Physics Performance Working Groups, like PID, and other key areas.

Changed:
<
<
The WG contacts are listed here.
>
>
The WG contacts are listed here.
 Some details about the PID liaison role can be found in this presentation (from 24 September 2014 PID meeting).

Calibration data

Particle identification performance can be measured from data using the tag-and-probe method on suitable control samples:

Changed:
<
<
Jpsi -> ee from b decays are used for electrons (from Jpsi2eeForElectronIDBu2JpsiKLine stripping line), Jpsi -> mumu from b decays are used for muons (from JpsiFromBNoPIDNoMip stripping line), and D0 -> K pi from the Dstar -> D0 pi decays are used for pions and kaons (NoPIDDstarWithD02RSKPi stripping line). For protons two samples are used: Lambda -> p pi decays (from Lam0LLLine1V0ForPID stripping line) which has poor kinematic overlap with heavy physics decays, while the small sample of protons from Λ_c decays
>
>
Jpsi -> ee from b decays are used for electrons (from Jpsi2eeForElectronIDBu2JpsiKLine stripping line), Jpsi -> mumu from b decays are used for muons (from JpsiFromBNoPIDNoMip stripping line), and D0 -> K pi from the Dstar -> D0 pi decays are used for pions and kaons (NoPIDDstarWithD02RSKPi stripping line). For protons two samples are used: Lambda -> p pi decays (from Lam0LLLine1V0ForPID stripping line) which has poor kinematic overlap with heavy physics decays, while the small sample of protons from Λ_c decays
 (from ... stripping line) covers the higher kinematic region.

Detailed information about each stripping line can be found in the

Line: 64 to 63
 2012 and 2011 years.
Changed:
<
<

PID tasks

>
>

PID topics and tasks

Combined variables

The PID information obtained separately from the muon, RICH, and calorimeter systems is combined to provide a single set of more powerful variables. Two different approaches are used. In the first method (DLL variables) the likelihood information produced by each sub-system is simply added linearly, to form a set of combined likelihoods. These variables give a measure of how likely the mass hypothesis under consideration is, for any given track, relative to the pion hypothesis. A second approach (ProbNN variables) has been subsequently developed to improve upon the simple log likelihood variables both by taking into account correlations between the detector systems and also by including additional information. This is carried out using multivariate techniques, combining PID information from each sub-system into a single probability value for each particle hypothesis.

Some details about the latter approach can be found here. Here a first comparative study of DLL and ProbNN variable performance.

The training of ProbNN variables is done using MC inclusive B events. Actual performance depends on the tuning (blending of MC samples) used. Now MCTuneV2 and MCTuneV3 tunings are available, that have different performance (ID and/or misID) and can be used simultaneously, the choice depending on the specific analysis (have a look to slides 18-23 here for a summary of electron ID performance with the two tunings).

Charge asymmetry

Muon mis-identification

Proton ID

The state of the art in January 2014: a comprehensive summary and one with details on source of detection asymmetry.

Contribution to the p-&p; separation from the Aerogel here, slides 13-19.

Photons and neutral objects

 
Added:
>
>
Link at the Calo Objects Twiki Page

Here the state of the art in January 2014

Presentation of useful tools: photonID and photon-pi0 separation. The latter is described also in INT-NOTE.

 A set of tasks has been identified that require effort during 2013-14 (and beyond). These are important to maximize the physics potential of the existing data, and to prepare for higher energy collisions. The concept was outlined in a talk at the LHCb week, 7 September 2012, and further details were given in this talk.

A completed task is green.

Line: 92 to 130
 

MC resampling tool

Changed:
<
<
Need of corrected PID distributions in Monte Carlo e.g. to include them in a multi‐variate tool (BDTs..).
>
>
Need of corrected PID distributions in Monte Carlo e.g. to include them in a multi‐variate tool (BDTs..).
 First tool developed by BKstmumu working group for internal use only; here some documentation.
Line: 196 to 234
 

PIDcalib

Changed:
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<
All is here: https://twiki.cern.ch/twiki/bin/view/LHCb/PIDCalibPackage
>
>
All is here: https://twiki.cern.ch/twiki/bin/view/LHCb/PIDCalibPackage, with very clear instructions: have a look!
 
Changed:
<
<
Look at the instructions for PID Calib.
>
>
A comprehensive presentation (Jan 2014) can be found here.
  Description of some technical improvements in PIDCalib can be found here. From this work the proposal for a TrigCalib tool, equivalent to PIDCalib but for trigger efficiency/performance evaluation.
Deleted:
<
<

Physics Pages

See the LHCb Physics Pages for details on the LHCb physics programme.

 

BarbaraSciascia - 2015-01-04

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LHCb Global Particle ID

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Changed:
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<

Introduction

>
>

General information

 
Added:
>
>
Particle identification in LHCb is provided by four different detectors: the calorimeter system, the two RICH detectors and the muon stations.
 These pages are for the LHCb Global Particle ID, the combination of the individual sub-detector PID performance measures into a single source of information to be used by the physics applications.
Changed:
<
<

Mailing lists

>
>
A concise and updated description of the Particle Identification in LHCb can be found in Section 4 of the LHCb Performance paper. In particular, Section 4.4 of the same document synthetically describes the methods used to combine the information for charged particles in a single set of variables that provide optimal particle identification performance.

Mailing lists

  Questions or comments concerning Particle Identification may be sent to the following mailling list: lhcb-phys-PID-topics@cern.ch. Please use this mailing list for general PID topics.
Line: 18 to 26
  If you wish to ask a question regarding the reconstruction of particle ID information, you may post a message to the LHCb Da Vinci working group mail list.
Changed:
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<

Regular meetings

>
>

Regular meetings

  PID meetings: Particle Identification Indico category under LHCb Meetings Indico category
Line: 26 to 34
  PPTS meetings: PPTS Indico category under LHCb Meetings Indico category
Changed:
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<

Workshops

>
>

Workshops

  PID workshop
Line: 34 to 42
  Here a link to very old (2005/2006) information.
Changed:
<
<

PID liaisons

>
>

PID liaisons

  The Physics Analysis Working Groups provide liaisons to the Physics Performance Working Groups, like PID, and other key areas. The WG contacts are listed here. Some details about the PID liaison role can be found in this presentation (from 24 September 2014 PID meeting).
Added:
>
>

Calibration data

Particle identification performance can be measured from data using the tag-and-probe method on suitable control samples: Jpsi -> ee from b decays are used for electrons (from Jpsi2eeForElectronIDBu2JpsiKLine stripping line), Jpsi -> mumu from b decays are used for muons (from JpsiFromBNoPIDNoMip stripping line), and D0 -> K pi from the Dstar -> D0 pi decays are used for pions and kaons (NoPIDDstarWithD02RSKPi stripping line). For protons two samples are used: Lambda -> p pi decays (from Lam0LLLine1V0ForPID stripping line) which has poor kinematic overlap with heavy physics decays, while the small sample of protons from Λ_c decays (from ... stripping line) covers the higher kinematic region.

Detailed information about each stripping line can be found in the Stripping Project page. Stripping 21, released autumn 2014, is the legacy stripping for Run1 data, collected in 2012 and 2011 years.

 

PID tasks

A set of tasks has been identified that require effort during 2013-14 (and beyond). These are important to maximize the physics potential of the existing data, and to prepare for higher energy collisions. The concept was outlined in a talk at the LHCb week, 7 September 2012, and further details were given in this talk.

Line: 50 to 74
 
<!--- questo non appare sulla pagina Twiki--->
Added:
>
>

PIDCalib Internal Note

Produce a short document to describe the PIDCalib package beyond the regularly updated Twiki page.

Task name PIDCalib
Lead (tools, or other) group PID
Other relevant groups (if any)  
Task description Writing the note
Estimated total effort required (FTE)  
Start of working Yes, Dec 2014
Deadline  
People/groups currently involved Alex Pearce
Past studies and/or expertise from  
New effort required? No
Other comments  
 

MC resampling tool

Need of corrected PID distributions in Monte Carlo e.g. to include them in a multi‐variate tool (BDTs..).

Line: 64 to 104
 
Task name MC resampling tool
Lead (tools, or other) group PID
Other relevant groups (if any)  
Changed:
<
<
Task description to correct the PID distributions in MC
>
>
Task description Write python scripts
 
Estimated total effort required (FTE) 0.3 FTE for 4 months.
Start of working Yes, Mar 2014
Deadline ASAP
Line: 123 to 163
 
New effort required? No
Other comments It seems that the best solution is to stored the files on EOS, at CERN. Philippe is currently creating the storage element in DIRAC, and Joel will create a dirac group for PID calibration.
Added:
>
>
 

Sub-detectors

The following section provide links to the latest information of the individual sub-systems (Twiki pages and to some general information).

Line: 152 to 193
 Full details on how particle ID is implemented in the LHCb, in the reconstruction application Brunel and the DaVinci Analysis framework, can be found here.
Changed:
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<
>
>
 

PIDcalib

All is here: https://twiki.cern.ch/twiki/bin/view/LHCb/PIDCalibPackage

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  These pages are for the LHCb Global Particle ID, the combination of the individual sub-detector PID performance measures into a single source of information to be used by the physics applications.
Changed:
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<

Mailing lists

>
>

Mailing lists

  Questions or comments concerning Particle Identification may be sent to the following mailling list: lhcb-phys-PID-topics@cern.ch. Please use this mailing list for general PID topics.
Line: 18 to 18
  If you wish to ask a question regarding the reconstruction of particle ID information, you may post a message to the LHCb Da Vinci working group mail list.
Changed:
<
<

Meetings

>
>

Regular meetings

  PID meetings: Particle Identification Indico category under LHCb Meetings Indico category
Line: 26 to 26
  PPTS meetings: PPTS Indico category under LHCb Meetings Indico category
Changed:
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<
Workshops:
>
>

Workshops

  PID workshop
Changed:
<
<
[[][Charge Asymmetry workshop]]
>
>
Charge Asymmetry workshop
  Here a link to very old (2005/2006) information.
Changed:
<
<

PID tasks

>
>

PID liaisons

The Physics Analysis Working Groups provide liaisons to the Physics Performance Working Groups, like PID, and other key areas. The WG contacts are listed here. Some details about the PID liaison role can be found in this presentation (from 24 September 2014 PID meeting).

PID tasks

  A set of tasks has been identified that require effort during 2013-14 (and beyond). These are important to maximize the physics potential of the existing data, and to prepare for higher energy collisions. The concept was outlined in a talk at the LHCb week, 7 September 2012, and further details were given in this talk.
Line: 44 to 50
 
<!--- questo non appare sulla pagina Twiki--->
Changed:
<
<

Electron samples in PIDCalib

>
>

MC resampling tool

Need of corrected PID distributions in Monte Carlo e.g. to include them in a multi‐variate tool (BDTs..). First tool developed by BKstmumu working group for internal use only; here some documentation.

Add a new version of the tool (independent of BKstmumu framework) in PIDCalib package. Latest information can be found here and here.

Task name MC resampling tool
Lead (tools, or other) group PID
Other relevant groups (if any)  
Task description to correct the PID distributions in MC
Estimated total effort required (FTE) 0.3 FTE for 4 months.
Start of working Yes, Mar 2014
Deadline ASAP
People/groups currently involved Marco Tresch,Vicente Rives Molina, Andrea Contu
Past studies and/or expertise from  
New effort required? No
Other comments  

Electron samples in PIDCalib

  Add in PIDCalib electron samples from J/psi -> ee decays; add to the other samples the variables to be tested against the electron hypothesis.

A summary of the electron PID before the work described in this task can be found here. First results were presented at the PPTS, 26 May 2014.

Changed:
<
<
Task name Electron in PIDCalib
>
>
Task name Electron in PIDCalib
 
Lead (tools, or other) group PID
Other relevant groups (if any) Neutral objects
Task description Add in PIDCalib electron samples from J/psi -> ee decays; add to the other samples the variables to be tested against the electron hypothesis
Line: 63 to 93
 
Other comments  
Link ANN PID returning for Reco14 data
Changed:
<
<

New proton samples in PIDCalib

>
>

New proton samples in PIDCalib

Add in PIDCalib proton samples from Λ_c decays (Existing coverage of Λ-> p pi samples has poor kinematic overlap with heavy physics decays)
 
Deleted:
<
<
 
Other relevant groups (if any)  
Task name New Proton samples in PIDCalib
Lead (tools, or other) group PID
Line: 73 to 103
 
Estimated total effort required (FTE) 0.3 FTE for 4 months.
Start of working Yes, Jan 2014
Deadline ASAP
Changed:
<
<
People/groups currently involved Stephen Ogilvy, Sneha Malde
>
>
People/groups currently involved Stephen Ogilvy, Sneha Malde, Yanxi Zhang
 
Past studies and/or expertise from Mika Vesterinen, Laurence Carlson
New effort required? No
Other comments  
Changed:
<
<

Repository of PIDCalib data set

>
>

Repository of PIDCalib data set

Find a stable destination of the PIDCalib data sets; present version uses /castor area of the user who produced the sample
 
Deleted:
<
<
 
Other relevant groups (if any) Computing
Task name Disk space
Lead (tools, or other) group PID
Line: 137 to 167
 
Changed:
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<
BarbaraSciascia - 2014-12-19
>
>
BarbaraSciascia - 2015-01-04
 
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  PPTS meetings: PPTS Indico category under LHCb Meetings Indico category
Added:
>
>
Workshops:

PID workshop [[][Charge Asymmetry workshop]]

 Here a link to very old (2005/2006) information.
Added:
>
>

PID tasks

A set of tasks has been identified that require effort during 2013-14 (and beyond). These are important to maximize the physics potential of the existing data, and to prepare for higher energy collisions. The concept was outlined in a talk at the LHCb week, 7 September 2012, and further details were given in this talk.

A completed task is green. A task taken and in progress is blue; contribution is always welcome, but it's better to focus on the ones still free.

A task available or that requires more effort is red.

<!--- questo non appare sulla pagina Twiki--->

Electron samples in PIDCalib

Add in PIDCalib electron samples from J/psi -> ee decays; add to the other samples the variables to be tested against the electron hypothesis.

A summary of the electron PID before the work described in this task can be found here. First results were presented at the PPTS, 26 May 2014.

Task name Electron in PIDCalib
Lead (tools, or other) group PID
Other relevant groups (if any) Neutral objects
Task description Add in PIDCalib electron samples from J/psi -> ee decays; add to the other samples the variables to be tested against the electron hypothesis
Estimated total effort required (FTE) 0.3 FTE for 4 months.
Start of working Yes, Jan 2014
Deadline ASAP
People/groups currently involved Thomas Bird, Sneha Malde
Past studies and/or expertise from Marie Hélène Shune, Alex Shire
New effort required? No
Other comments  
Link ANN PID returning for Reco14 data

New proton samples in PIDCalib

Other comments  
Task name New Proton samples in PIDCalib
Lead (tools, or other) group PID
Other relevant groups (if any)  
Task description Add in PIDCalib proton samples from Λ_c decays (Existing coverage of Λ-> p pi samples has poor kinematic overlap with heavy physics decays)
Estimated total effort required (FTE) 0.3 FTE for 4 months.
Start of working Yes, Jan 2014
Deadline ASAP
People/groups currently involved Stephen Ogilvy, Sneha Malde
Past studies and/or expertise from Mika Vesterinen, Laurence Carlson
New effort required? No

Repository of PIDCalib data set

Other comments It seems that the best solution is to stored the files on EOS, at CERN. Philippe is currently creating the storage element in DIRAC, and Joel will create a dirac group for PID calibration.
Task name Disk space
Lead (tools, or other) group PID
Other relevant groups (if any) Computing
Task description Find a stable destination of the PIDCalib data sets; present version uses /castor area of the user who produced the sample
Estimated total effort required (FTE) N.A.
Start of working Yes, Feb 2014
Deadline ASAP
People/groups currently involved Sneha Malde
Past studies and/or expertise from Ben Couturier
New effort required? No
 

Sub-detectors

The following section provide links to the latest information of the individual sub-systems (Twiki pages and to some general information).

Changed:
<
<

RICH:

>
>

RICH

  Details on the RICH software and performance can be found here.
Line: 42 to 107
  A good summary talk on PID performance in 2012 by Andrew Powell.
Changed:
<
<

Calorimeters:

>
>

Calorimeters

  Calo Twiki page and link to the Calo Objects Twiki page
Changed:
<
<

Muon system:

>
>

Muon system

  The Muon System Software web pages can be found here.
Line: 64 to 129
  Look at the instructions for PID Calib.
Added:
>
>
Description of some technical improvements in PIDCalib can be found here. From this work the proposal for a TrigCalib tool, equivalent to PIDCalib but for trigger efficiency/performance evaluation.
 

Physics Pages

See the LHCb Physics Pages for details on the LHCb physics programme.

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LHCb Global Particle ID

Added:
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>
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Changed:
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Introduction

>
>

Introduction

  These pages are for the LHCb Global Particle ID, the combination of the individual sub-detector PID performance measures into a single source of information to be used by the physics applications.
Changed:
<
<

Software

>
>

Mailing lists

 
Changed:
<
<
Full details on how particle ID is implemented in the LHCb, in the reconstruction application Brunel and the DaVinci Analysis framework, can be found here.
>
>
Questions or comments concerning Particle Identification may be sent to the following mailling list: lhcb-phys-PID-topics@cern.ch. Please use this mailing list for general PID topics.
 
Changed:
<
<
Look at the instructions for PID Calib.
>
>
Questions or comments concerning the PIDCalib packages may be sent to the following mailling list: lhcb-phys-pid-calibration@cern.ch. Please use this mailing list for any question that involves PIDCalib.

If you wish to ask a question regarding the reconstruction of particle ID information, you may post a message to the LHCb Da Vinci working group mail list.

Meetings

 
Changed:
<
<

Sub Detectors Pages

>
>
PID meetings: Particle Identification Indico category under LHCb Meetings Indico category
 
Changed:
<
<
The following section provide links to the latest information of the individual sub-systems.
>
>
Muon ID meetings: Muon Indico category under LHCb Meetings Indico category
 
Changed:
<
<

Calorimeters

>
>
PPTS meetings: PPTS Indico category under LHCb Meetings Indico category
 
Changed:
<
<

RICH

>
>
Here a link to very old (2005/2006) information.

Sub-detectors

The following section provide links to the latest information of the individual sub-systems (Twiki pages and to some general information).

RICH:

  Details on the RICH software and performance can be found here.
Changed:
<
<

Muon

>
>
RICH Twiki page

PID performance plots, for the various reconstruction versions and datasets, can be found on the RICH-Online twiki page.

A good summary talk on PID performance in 2012 by Andrew Powell.

Calorimeters:

Calo Twiki page and link to the Calo Objects Twiki page

Muon system:

  The Muon System Software web pages can be found here.
Changed:
<
<

Mailing Lists

>
>
Muon link to the Muon page.

Software

Full details on how particle ID is implemented in the LHCb, in the reconstruction application Brunel and the DaVinci Analysis framework, can be found here.

PIDcalib

 
Changed:
<
<
In order to avoid the general tendency towards the proliferation of mailing lists in LHCb, there is no dedicated Global PID mailing list. If you wish to ask a question regarding particle ID the recommendation is to post a message to the general LHCb reconstruction mail list.
>
>
All is here: https://twiki.cern.ch/twiki/bin/view/LHCb/PIDCalibPackage

Look at the instructions for PID Calib.

 

Physics Pages

See the LHCb Physics Pages for details on the LHCb physics programme.

Deleted:
<
<

Meetings

Minutes from previous meetings can be found here.

 
Deleted:
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ChrisRJones - 12 Jul 2005
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 Full details on how particle ID is implemented in the LHCb, in the reconstruction application Brunel and the DaVinci Analysis framework, can be found here.
Added:
>
>
Look at the instructions for PID Calib.
 

Sub Detectors Pages

The following section provide links to the latest information of the individual sub-systems.

Changed:
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Calometers

>
>

Calorimeters

 

RICH

Line: 34 to 36
 

Physics Pages

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See the LHCb Physics Pages for details on the LHCb physics programme.
>
>
See the LHCb Physics Pages for details on the LHCb physics programme.
 

Meetings

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  The Muon System Software web pages can be found here.
Added:
>
>

Mailing Lists

In order to avoid the general tendency towards the proliferation of mailing lists in LHCb, there is no dedicated Global PID mailing list. If you wish to ask a question regarding particle ID the recommendation is to post a message to the general LHCb reconstruction mail list.

 

Physics Pages

See the LHCb Physics Pages for details on the LHCb physics programme.

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Software

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Details on how particle ID is integrated in the DaVinci Analysis software can be found here.
>
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Full details on how particle ID is implemented in the LHCb, in the reconstruction application Brunel and the DaVinci Analysis framework, can be found here.
 

Sub Detectors Pages

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  These pages are for the LHCb Global Particle ID, the combination of the individual sub-detector PID performance measures into a single source of information to be used by the physics applications.
Added:
>
>

Software

Details on how particle ID is integrated in the DaVinci Analysis software can be found here.

 

Sub Detectors Pages

The following section provide links to the latest information of the individual sub-systems.

Line: 20 to 24
 

Muon

Added:
>
>
The Muon System Software web pages can be found here.
 

Physics Pages

See the LHCb Physics Pages for details on the LHCb physics programme.

Changed:
<
<

Previous Meetings

07/04/2006

This meeting is to discuss the status for DC06.

07/07/2005

This first meeting focused on presentations by the sub-detectors on their current PID performance. The following are a list of questions or issues raised during the meeting.

CALO

  • How will the reference distribtutions used to create the dLL values by produced from real data ?
  • Evidence for 'mistakes' in tracking MC associations (Electron-like conponent to background distribution)
  • Can Electron ID be better optimised for tagging
  • Binning effects in reference distributions can be seen in DLL values. To be removed using smoothing procedure (KEYS)
  • Further work on brem. corrections for electrons ?
  • Why do DC04 parameterisations compare badly to those from the TDR data ?
  • What is the procedure to calibrate the CALO system with real data ?

MUON

  • Warning that the hit rate in M2 has been seen to increase by 20-30% with latest detector description. Need to see a more detailed study to understand where exactly this is coming from. Need to retune the muon ID accordingly.

  • Why does the muon ID for two dLL values for the combined particle ID ? Can they be rationalised ?
  • dLL calculation should be done by muon ID pacakges. Should not be internal to protoparticle maker.
  • Use of "NoSharedHits" algorithm seemed overly complicated for the end user.
  • What is the procedure to calibrate the MUON system with real data ?

RICH

  • What is the nature of the structure in the PID efficiency curves around 10 GeV for DC04 and RTTC data ?
  • What about the positive/negative track asymmetry in the kaon ID ?

Combined Particle ID

  • Why are some recommended dLL cut values so far from zero ? Are all the likelihoods properly normalised ?
>
>

Meetings

 
Added:
>
>
Minutes from previous meetings can be found here.
 
ChrisRJones - 12 Jul 2005
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Upcoming Meetings

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>

Previous Meetings

 

07/04/2006

This meeting is to discuss the status for DC06.

Deleted:
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Previous Meetings

 

07/07/2005

This first meeting

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  See the LHCb Physics Pages for details on the LHCb physics programme.
Added:
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>

Upcoming Meetings

07/04/2006

This meeting is to discuss the status for DC06.

 

Previous Meetings

07/07/2005

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07/07/2005

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agenda

This first meeting focused on presentations by the sub-detectors on their current PID performance.

>
>
This first meeting focused on presentations by the sub-detectors on their current PID performance.
 The following are a list of questions or issues raised during the meeting.

CALO

Line: 47 to 48
 
  • dLL calculation should be done by muon ID pacakges. Should not be internal to protoparticle maker.
  • Use of "NoSharedHits" algorithm seemed overly complicated for the end user.
  • What is the procedure to calibrate the MUON system with real data ?
Added:
>
>
 RICH
Changed:
<
<
  • What is the nature of the structure in the PID efficiency curves around 10 GeV for DC04 and RTTC data ?
>
>
  • What is the nature of the structure in the PID efficiency curves around 10 GeV for DC04 and RTTC data ?
  • What about the positive/negative track asymmetry in the kaon ID ?
 Combined Particle ID
  • Why are some recommended dLL cut values so far from zero ? Are all the likelihoods properly normalised ?

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Previous Meetings

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07/07/2005

>
>

07/07/2005

agenda

  This first meeting focused on presentations by the sub-detectors on their current PID performance. The following are a list of questions or issues raised during the meeting.

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Muon

Added:
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>

Physics Pages

See the LHCb Physics Pages for details on the LHCb physics programme.

 

Previous Meetings

07/07/2005

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Deleted:
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These pages are for the LHCb Global Particle ID.

Contents

 
Changed:
<
<

Aims

>
>

Introduction

These pages are for the LHCb Global Particle ID, the combination of the individual sub-detector PID performance measures into a single source of information to be used by the physics applications.

 

Sub Detectors Pages

Added:
>
>
The following section provide links to the latest information of the individual sub-systems.

 

Calometers

Added:
>
>
 

RICH

Added:
>
>
Details on the RICH software and performance can be found here.
 

Muon

Previous Meetings

Revision 52005-07-11 - ChristopherRJones

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RICH

Muon

Deleted:
<
<
 

Previous Meetings

Added:
>
>

07/07/2005

This first meeting focused on presentations by the sub-detectors on their current PID performance. The following are a list of questions or issues raised during the meeting.

 
Added:
>
>
CALO
  • How will the reference distribtutions used to create the dLL values by produced from real data ?
  • Evidence for 'mistakes' in tracking MC associations (Electron-like conponent to background distribution)
  • Can Electron ID be better optimised for tagging
  • Binning effects in reference distributions can be seen in DLL values. To be removed using smoothing procedure (KEYS)
  • Further work on brem. corrections for electrons ?
  • Why do DC04 parameterisations compare badly to those from the TDR data ?
  • What is the procedure to calibrate the CALO system with real data ?
MUON
  • Warning that the hit rate in M2 has been seen to increase by 20-30% with latest detector description. Need to see a more detailed study to understand where exactly this is coming from. Need to retune the muon ID accordingly.
  • Why does the muon ID for two dLL values for the combined particle ID ? Can they be rationalised ?
  • dLL calculation should be done by muon ID pacakges. Should not be internal to protoparticle maker.
  • Use of "NoSharedHits" algorithm seemed overly complicated for the end user.
  • What is the procedure to calibrate the MUON system with real data ?
RICH
  • What is the nature of the structure in the PID efficiency curves around 10 GeV for DC04 and RTTC data ?
Combined Particle ID
  • Why are some recommended dLL cut values so far from zero ? Are all the likelihoods properly normalised ?
 
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Previous Meetings

 
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These pages are for the LHCb Global Particle ID.

-- ChrisRJones - 27 Jun 2005

 
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