Average Pt vs Number of Charged Particles

!!!!!!!!!!!!!!!!!!! THIS IS A DRAFT !!!!!!!!!!!!!!!!!!

Introduction

Plan to measure the average Pt vs Number of Charged Particles, in the beginning using mainly ID. Possible measurement with low statistics (with in first year data taking)

Motivation

Understand the Pt distributions that is very depending on QCD and moreover on the tunning of the MonteCarlo generator (color reconections....)

Analysis

At this point I am following the CSC note on minimum bias studies without Trigger Effects at the moment. What we need is:

• Select primarty tracks on reconstructed data
• Low pt (150MeV). Other experiments doing with Pt>500MeV.
• Compare them with the primary tracks on MC truth:
  • At generator level: several vertex, How to define primary vertex when there is gluons and all the qcd interactions defined there????
  • At TrackTruth, how to define primary tracks??? What to do with primary tracks that we can not measure because they decay inside first blayer???
• Look for corrections to apply on tracking and vertex efficiency to correct the reconstructed track to fit with the TrackTruth. Same way as MB CSC note.

Datasets:

At this point quite confused. I am developing the Code, then I will look for the dataset

Trigger

Study it later

Tracking

Standart Tracking

Presentation on tracking and vertexing, http://indico.cern.ch/materialDisplay.py?contribId=3&sessionId=2&materialId=slides&confId=34087

Low Pt

Twiki link InDetLowPtReco

Primary tracks selection:

Doing same cuts as CSC not. Study efficiency and compare. Look for other ways. Just normal cuts?? Something more elaborated: Likelihood, Neural Nets??? Maybe to complex for this analysis!!

Preliminary plots for discussion

EVERYTHING IS DRAFT, not real results!!!!

Show the plots I have now:

• Particle multiplicity, non corrected:
  • Reconstructed
  • Generator level
  • TrackTruth level
• PtVsMultiplicity
  • Reconstructed
  • Generator level
  • TrackTruth level

Uncertainties

HARD TOPIC.

Tunning plots:

Contact with Henrik from Lund University

Material

Code:

Link to the code I am using

Papers

blablaaa

Talks

blabaaa

Other useful twikis

blablaaa

---

Major updates:

-- AlAlonso - 02 Jun 2009

%RESPONSIBLE% AlAlonso
%REVIEW% Never reviewed

-- AlAlonso - 02 Jun 2009