Approved plots that can be shown by ATLAS speakers at conferences and similar events.
Please do not add figures on your own. Contact the responsible LAr project leader in case of questions and/or suggestions.
LAr data quality inefficiency in Run 2 – Defect rejection


LAr data quality inefficiency in Run 2 – Veto rejection


LAr Data Quality Plots 2017:
These plots show the data rejection as a function of the data taking period (assessment based on the Tier 0 output, i. e. without reprocessing).


Average transverse energy per unit ηφ area and unit μ (number of interactions per bunch crossing) as a function of the distance (in BCID, bunch crossing identifier, in 25 ns units) from the beginning of the bunch train in different regions of the ATLAS LAr calorimeter. Data taken in September 2017 with a filling scheme with 48 colliding bunches spaced by 25ns per train are compared to data taken with a filling scheme with 8 colliding bunches spaced by 25 ns with 125 ns between them (8b4e). With long trains, after 20 BCID the average shift is close to 0 thanks to the bipolar shaping applied in the readout and the total contribution from outoftime pileup compensates the intime pileup contribution. For distances from the beginning of the train smaller than the typical drift time in LAr gaps (450 ns in the EM barrel calorimeter, less in the FCAL) an average positive energy from pileup is expected as the contributions from outoftime pileup does not cancel the intime pileup contribution. With the 8b4e filling scheme this cancellation is never perfectly achieved. The data are compared to predictions computed using the pulse shape, the luminosity per bunch and the optimal filter coefficients used to estimate the pulse energy. Some structures observed in the prediction and data before the correction are related to variations in the luminosity from bunch to bunch. These predictions are used to correct the expected average energy shift per calorimeter cell. In the EM calorimeter, the residual systematic shift on the transverse energy after the correction is less than 10 MeV at μ=40 for the typical size of the cluster used to measure electron and photon energies. Reconstruction of higher level physics objects like jets include some further eventbyevent pileup mitigation techniques that further reduce the impact of residual systematic energy shifts after the correction.


LAr pulse shape determination from special run:
Pulse Shapes: Typical ionization pulse shapes in the EM barrel presampler and middle layer. The pulse shapes are extracted from special runs with isolated crossing bunches collected in 2016. The data are recorded by a random 200 Hz trigger within a 32 BCID window surrounding the filled bunches and transmitting four samples. The pulse shapes are extracted for each layer and η region of the calorimeter and are averaged over φ. 

Example of PileUp Correction:
Average transverse energy per unit ηφ area and unit μ (number of interactions per bunch crossing) as a
function of the distance (in BCID, bunch crossing identifier, in 25 ns units) from the beginning of the bunch
train in the ATLAS EM calorimeter for 0.8<η<1.0. After 20 BCID, the average shift is close to 0 thanks to
the bipolar shaping applied in the readout and the total contribution from outoftime pileup compensates
the intime pileup contribution. For distances from the beginning of the train smaller than the typical drift
time in LAr gaps ( 450 ns in the barrel calorimeter) an average positive energy from pileup is expected as
the contributions from outoftime pileup does not cancel the intime pileup contribution. ZeroBias data
(trigger randomly proportionally to the instantaneous luminosity) taken in October 2016 with 48 bunches
trains are compared to predictions computed using the pulse shape, the luminosity per bunch and the
optimal filter coefficients used to estimate the pulse energy. The predictions using the measured pulse
shapes in the 2016 special runs are compared to predictions using the same pulse shape as in the
simulation. The plots show the new and the old correction as a function of BCID (top) and the difference between ZeroBias data and both corrections (bottom).


Average Cell Energy Spread in 2012 Data: FCal cell energy spread in the first FCal module normalized to the average cell energy spread over cells with the same η within ±0.04 for minimum bias data collected in 2012 at s^{1/2} = 8 TeV. Deviations from 1 indicate nonuniformities in φ. The figure to the left shows the Cside (z < 0) and the figure to the right shows the Aside (z > 0). The dark areas in the central regions along the horizontal and vertical figure axes and along the two diagonals are likely due to φ nonuniform material. 
png  eps  pdf  png  eps  pdf 
Average Cell Energy Spread in 2015 Data: FCal cell energy spread in the first FCal module normalized to the average cell energy spread over cells with the same η within ±0.04 for zero bias data collected in 2015 at s^{1/2} = 13 TeV. Deviations from 1 indicate nonuniformities in φ. The figure to the left shows the Cside (z < 0) and the figure to the right shows the Aside (z > 0). The alternating dark and light regions close to the inner bore not present in the 2012 data reflect the impact of the nonuniform distribution of the IBL services in front of the FCal. In addition the same dark areas in the central regions along the horizontal and vertical figure axes and along the two diagonals as in 2012 are visible. 
png  eps  pdf  png  eps  pdf 
Average Cell Energy Spread in 2016 Data: FCal cell energy spread in the first FCal module normalized to the average cell energy spread over cells with the same η within ±0.04 for zero bias data collected in 2015 at s^{1/2} = 13 TeV. Deviations from 1 indicate nonuniformities in φ. The figure to the left shows the Cside (z < 0) and the figure to the right shows the Aside (z > 0). The alternating dark and light regions close to the inner bore not present in the 2012 data reflect the impact of the nonuniform distribution of the IBL services in front of the FCal. In addition the same dark areas in the central regions along the horizontal and vertical figure axes and along the two diagonals as in 2012 are visible. 
png  eps  pdf  png  eps  pdf 
Average Cell Energy in MC with Smeared IBL Services: Average FCal cell energy in the first FCal module normalized to the average cell energies over cells with the same η within ±0.04 for minimum bias simulations at s^{1/2} = 13 TeV. The IBL Services are simulated as perfectly φsymmetric. Deviations from 1 indicate nonuniformities in φ due to nonuniform material in front of the FCal. The figure to the left shows the Cside (z < 0) and the figure to the right shows the Aside (z > 0). Since all material in front of the FCal is simulated φsymmetric no significant deviations from 1 are observed. 
png  eps  pdf  png  eps  pdf 
Average Cell Energy in MC with Straight IBL Services: Average FCal cell energy in the first FCal module normalized to the average cell energies over cells with the same η within ±0.04 for minimum bias simulations at s^{1/2} = 13 TeV. The IBL Services are simulated as 14 straight cable bundles with φperiodic locations. Deviations from 1 indicate nonuniformities in φ due to nonuniform material in front of the FCal. The figure to the left shows the Cside (z < 0) and the figure to the right shows the Aside (z > 0). The impact of the 14 straight IBL cable bundles is visible as alternating dark and light regions. The contrast is largest at the inner, high η detector region. 
png  eps  pdf  png  eps  pdf 
Average Cell Energy in MC with Wavy IBL Services: Average FCal cell energy in the first FCal module normalized to the average cell energies over cells with the same η within ±0.04 for minimum bias simulations at s^{1/2} = 13 TeV. The IBL Services are simulated as 14 wavy cable bundles with φperiodic locations. Deviations from 1 indicate nonuniformities in φ due to nonuniform material in front of the FCal. The figure to the left shows the Cside (z < 0) and the figure to the right shows the Aside (z > 0). The impact of the 14 wavy IBL cable bundles is visible as alternating dark and light regions. The contrast is largest at the inner, high η detector region. 
png  eps  pdf  png  eps  pdf 
Mini Noise Bursts: Example of a region affected by socalled “mini noise bursts”, repeated bursts of coherent noise confined to a single FEB. The figure to the leG shows the cell occupancy at E_{cell} > 600 MeV for EMBC layer 2 cells in 455 pb^{1} of data from run 306310 in 2016 (CosmicCalo stream). These small bursts of noise can occur at a frequency of once per minute, and last less than 10 microseconds. Such events are flagged and removed by applying event veto periods. The figures show the impact of this cleaning procedure (top figure before cleaning, bottom figure after cleaning). Here all severe mini noise bursts are completely removed, with some residual noise remaining below the flagging threshold. During 2015+2016 a total of 0.11 % of luminosity was removed due to mini noise bursts. 

LAr Data Quality Plots 2016:
These plots show the data rejection as a function of the data taking period following the release 21 reprocessing campaign. In ATLAS, a period corresponds to a data set acquired under similar operating conditions. The integrated luminosity varies widely from one period to another, ranging between 500 pb^{1} and 6 fb^{1}. Full details can be found here
In LAr, data not suitable for physics analysis are rejected via two complementary means:


LAr Data Quality Plots  Comparison 2015 and 2016:
These plots show the data rejection, following the release 21 reprocessing, as a function of the data taking year.
In LAr, data not suitable for physics analysis are rejected via two complementary means:


Noise Bursts: Like already experienced during LHC Run 1, during proton collisions, the LAr Calorimeter records very rare events, which show a substantial fraction of cells with unexpected signal shapes and high signals in at least 5 frontend boards of the endcap calorimeter. Such events are called noise bursts and appear less than once per minute. Due to flagging of such events and applying vetoperiods 0.03 % of luminosity has been removed in 2015 (0.2 % in 2012). In an attempt to further understand the reason for these events, tests were performed during the 2015 data taking which showed a strong correlation between these noise bursts and the LAr purity system. Data with the LAr purity system HV switched OFF show a much smaller number of noise bursts. This effect is shown in the plot, that shows the lost luminosity fraction in 2.8 fb^{1} of proton data recorded with and without LAr purity HV. When the purity probes are switched OFF, the rate is well reduced and becomes independent of the instantaneous luminosity. 
Time resolution as a function of energy for High and Medium gain in Electromagnetic Barrel (EMB) Slot 12 (0.4 < η < 0.8) with 3.3 fb^{1} of collision data at s^{1/2} = 13 TeV. The data has been calibrated with a 7 step procedure in which the following are corrected for: time of flight from the primary vertex to the calorimeter cell, average time per cable passage through cryostat wall per run, average time per Front End Board (FEB), average time per cell, average time as a function of energy, cross talk related to position within the cell (δφ, δη), and cross talk between layers using fractional energy deposits in layer 1 and layer 3. The corrections were measured with a W → eν data set and applied here to an independent Z → ee data set. The data is fit to an assumed functional form: σ(t) = p_{0}/E ⊕ p_{1}. The coefficients p_{0}, p_{1} multiply the noise term and constant term respectively. A calculated correlated contribution of ∼ 200 ps to the constant term of the time resolution can be attributed to the beamspread. If it is assumed that the LAr Calorimeter contributes only to the uncorrelated part of the constant term, the correlated contribution can be subtracted in quadrature from the p_{1} fit values. This yields an uncorrelated contribution to the constant term of the time resolution from the LAr Calorimeter of ∼ 170 ps in EMB Slot 12 Medium Gain.  
Time resolution as a function of energy for High and Medium gain Electromagnetic Endcap (EMEC) Slot 11 (1.5 < η < 2.0) with 3.3 fb^{1} of collision data at s^{1/2} = 13 TeV. The data has been calibrated with a 7 step procedure in which the following are corrected for: time of flight from the primary vertex to the calorimeter cell, average time per cable passage through cryostat wall per run, average time per Front End Board (FEB), average time per cell, average time as a function of energy, cross talk related to position within the cell (δφ, δη), and cross talk between layers using fractional energy deposits in layer 1 and layer 3. The corrections were measured with a W → eν data set and applied here to an independent Z → ee data set. The data is fit to an assumed functional form: σ(t) = p_{0}/E ⊕ p_{1}. The coefficients p_{0}, p_{1} multiply the noise term and constant term respectively. A calculated correlated contribution of ∼ 200 ps to the constant term of the time resolution can be attributed to the beamspread. If it is assumed that the LAr Calorimeter contributes only to the uncorrelated part of the constant term, the correlated contribution can be subtracted in quadrature from the p_{1} fit values. This yields an uncorrelated contribution to the constant term of the time resolution from the LAr Calorimeter of ∼ 65 ps in EMEC Slot 11 Medium Gain. 
The following plots show the energy weighted average times per front end board (FEB) in the four different LAr detectors: EM Barrel (EMB), EM EndCap (EMEC), Hadronic EndCap (HEC) and Forward Calorimeter (FCal) after the last FEB timing adjustment in 2015. Approximately 700 pb^{1} of protonproton collisions data at s^{1/2} = 13 TeV were used to extract corrections to the FEB finedelay constants that are uploaded before each run and have originally been computed using 2011, 2012 and beam splash data. All signals above an energy threshold (between 1 and 10 GeV depending on the layer and the detector region) in medium and high electronics gain and with a quality factor below 4000 have been used after energy weighting. Offline corrections to harmonize the timing in medium and high electronics gain have been extracted and applied. These corrections to the FEB finedelay constants along with the medium vs. high gain offline corrections have been applied starting from Oct. 18, 2015. The remaining 1.6 fb^{1} of protonproton collisions data recorded after that date were used to measure the FEB timing after the corrections. The results are presented in the following plots.
Average time per front end board (FEB) in the LAr electromagnetic barrel (EMB) with 1.6 fb^{1} of collision data at s^{1/2} = 13 TeV collected in 2015. The average time for one FEB is the result of a Gaussian fit on medium and high gain entries for all channels of this FEB. All but one FEB are well aligned. The outlier at 4 ns can be traced back to a hardware problem on this respective FEB. An offline correction was applied for this outlier FEB that corrects any bias of the timing and the energy calculation for all signals above 3 σ_{noise}.  
Average time per front end board (FEB) in the LAr electromagnetic endcap (EMEC) with 1.6 fb^{1} of collision data at s^{1/2} = 13 TeV collected in 2015. The average time for one FEB is the result of a Gaussian fit on medium and high gain entries for all channels of this FEB. All FEBs are well aligned since the distribution is centered at zero and no significant outliers exist  
Average time per front end board (FEB) in the LAr hadronic end
cap (HEC) with 1.6 fb^{1} of collision data at s^{1/2} = 13 TeV collected in 2015.
The average time for one FEB is the result of a Gaussian fit on medium and
high gain entries for all channels of this FEB. All FEBs are well aligned since
the distribution is centered at zero and no significant outliers are observed.


Average time per front end board (FEB) in the LAr forward
calorimeter (FCal) with 1.6 fb^{1} of collision data at s^{1/2} = 13 TeV collected in
2015. The average time for one FEB is the result of a Gaussian fit on medium
and high gain entries for all channels of this FEB. The observed systematic
shift (Mean = 0.63 ns) is well below 1 ns and hence negligible for the energy
calculation (it has been corrected for the 2015 proton run at s^{1/2} = 5 TeV and
the heavyion run).

The plots in the following show energy distributions recorded by the ATLAS LAr calorimeters during the beam splash events from April 7, 2015. During these beam splashes one LHC beam was hitting the tertiary collimator approximately 175 m upstream of ATLAS immediately after injection and hence was producing a splash of particles heading towards the ATLAS detector. Splashes from beam 1 which traverse the ATLAS detector from Aside to Cside (opposite orientation of zaxis) were followed by beam 2 splashes (Cside to Aside) on the same day. Public ATLAS event displays from 2015 splashes can be found here.
Average LAr cell energy sums obtained during beam splashes on April 7, 2015: Average LAr cell energy sums (without FCal) distributed in a hypothetical tower grid with Δη x Δφ = 0.025 x 0.025 for 63 beam splash events from April 2015. From left to right the plots show the summed average energies in the endcap C, in the barrel and in the endcap A. For η<0 and the endcap C 30 events, where the particles entered from the postive η (A) side are averaged over while the average for η>0 and the endcap A uses 33 events, where the particles entered from the negative η (C) side. In total the displayed LAr layers recorded 3.5 PeV (7.0 PeV) on average per event for particles entering from the A (C) side. The visible regular eightfold pattern in φ stems from the material in the endcap toroid magnets shadowing the incoming particles. (see for more details) 

LAr cell energies recorded during a splash event of beam 1 on April 7, 2015: LAr cell energy sums (without FCal) distributed in a hypothetical tower grid with Δη x Δφ = 0.025 x 0.025 for a beam splash event from April 2015. The particles entered from the positive η (A) side. From left to right the plots show the summed energies in the endcap C, in the barrel and in the endcap A. In total the displayed LAr layers recorded 2.085 PeV in this event. The visible regular eightfold pattern in φ stems from the material in the endcap toroid magnet shadowing the incoming particles. The inner wheel HEC cells on the incoming (A) side have underestimated energies due to the gain switch decision which is based on the signal amplitude measured at the expected timing for collision events. The pulses on the incoming side are hence too early leading to a wrong gain decision and saturation in some cases and therefore a sharp energy drop for η>2.5, while in reality the energy flow is smooth in η. (see for more details) 

LAr cell energies recorded during a splash event of beam 2 on April 7, 2015: LAr cell energy sums (without FCal) distributed in a hypothetical tower grid with Δη x Δφ = 0.025 x 0.025 for a beam splash event from April 2015. The particles entered from the negative η (C) side. From left to right the plots show the summed energies in the endcap C, in the barrel and in the endcap A. In total the displayed LAr layers recorded 8.243 PeV in this event. The visible regular eightfold pattern in φ stems from the material in the endcap toroid magnet shadowing the incoming particles. The inner wheel HEC cells on the incoming (C) side have underestimated energies due to the gain switch decision which is based on the signal amplitude measured at the expected timing for collision events. The pulses on the incoming side are hence too early leading to a wrong gain decision and saturation in some cases and therefore a sharp energy drop for η<2.5, while in reality the energy flow is smooth in η. (see for more details) 

LAr electromagnetic barrel (EMB) frontend board (FEB) timing distribution obtained with data of splash events on April 7, 2015: Timing in the LAr Calorimeter is measured from beam splash events taken in April 2015. For each frontend board, the average time of the 128 channels is calculated. Time of flight corrections are applied to account for splash events originating away from the interaction point and traveling nearly parallel to the beam axis. The barrel region is used to measure a reference time. Shown is the distribution of average timing in the FEBs of the electromagnetic barrel with respect to the reference time. 

LAr electromagnetic endcap (EMEC) frontend board (FEB) timing distribution obtained with data of splash events on April 7, 2015: Timing in the LAr Calorimeter is measured from beam splash events taken in April 2015. For each frontend board, the average time of the 128 channels is calculated. Time of flight corrections are applied to account for splash events originating away from the interaction point and traveling nearly parallel to the beam axis. The barrel region is used to measure a reference time. Shown is the distribution of average timing in the FEBs of the electromagnetic endcap with respect to the reference time. 

LAr hadronic endcap (HEC) frontend board (FEB) timing distribution obtained with data of splash events on April 7, 2015: Timing in the LAr Calorimeter is measured from beam splash events taken in April 2015. For each frontend board, the average time of the 128 channels is calculated. Time of flight corrections are applied to account for splash events originating away from the interaction point and traveling nearly parallel to the beam axis. The barrel region is used to measure a reference time. Shown is the distribution of average timing in the FEBs of the hadronic endcap with respect to the reference time. 

LAr forward calorimeter (FCAL) frontend board (FEB) timing distribution obtained with data of splash events on April 7, 2015: Timing in the LAr Calorimeter is measured from beam splash events taken in April 2015. For each frontend board, the average time of the 128 channels is calculated. Time of flight corrections are applied to account for splash events originating away from the interaction point and traveling nearly parallel to the beam axis. The barrel region is used to measure a reference time. Shown is the distribution of average timing in the FEBs of the forward calorimeter with respect to the reference time. 
Responsible: MartinAleksa
Subject: LAr Public Plots Run 2
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I  Attachment  History  Action  Size  Date  Who  Comment 

eps  vetoPeriod2017.eps  r1  manage  13.7 K  20180214  15:44  SteffenStaerz  Veto Period 2017 
vetoPeriod2017.pdf  r1  manage  14.3 K  20180214  15:44  SteffenStaerz  Veto Period 2017  
png  vetoPeriod2017.png  r1  manage  17.1 K  20180214  15:44  SteffenStaerz  Veto Period 2017 
eps  h_eResolution_EMB.eps  r1  manage  13.9 K  20160428  11:33  MartinAleksa  Timing resolution plots 2015 (EMB and EMEC) 
h_eResolution_EMB.pdf  r1  manage  17.3 K  20160428  11:33  MartinAleksa  Timing resolution plots 2015 (EMB and EMEC)  
png  h_eResolution_EMB.png  r1  manage  25.3 K  20160428  11:33  MartinAleksa  Timing resolution plots 2015 (EMB and EMEC) 
eps  h_eResolution_EMEC.eps  r1  manage  13.3 K  20160428  11:33  MartinAleksa  Timing resolution plots 2015 (EMB and EMEC) 
h_eResolution_EMEC.pdf  r1  manage  16.9 K  20160428  11:33  MartinAleksa  Timing resolution plots 2015 (EMB and EMEC)  
png  h_eResolution_EMEC.png  r1  manage  25.2 K  20160428  11:33  MartinAleksa  Timing resolution plots 2015 (EMB and EMEC) 
eps  Av_FEB_BeamSplash_FCAL.eps  r1  manage  7.8 K  20150512  08:49  MartinAleksa  Timing plots splashes FCal and HEC 
Av_FEB_BeamSplash_FCAL.pdf  r1  manage  14.1 K  20150512  08:49  MartinAleksa  Timing plots splashes FCal and HEC  
png  Av_FEB_BeamSplash_FCAL.png  r1  manage  10.5 K  20150512  08:49  MartinAleksa  Timing plots splashes FCal and HEC 
eps  Av_FEB_BeamSplash_HEC.eps  r1  manage  7.8 K  20150512  08:49  MartinAleksa  Timing plots splashes FCal and HEC 
Av_FEB_BeamSplash_HEC.pdf  r1  manage  14.1 K  20150512  08:49  MartinAleksa  Timing plots splashes FCal and HEC  
png  Av_FEB_BeamSplash_HEC.png  r1  manage  10.5 K  20150512  08:49  MartinAleksa  Timing plots splashes FCal and HEC 
eps  Av_FEB_BeamSplash_EMB.eps  r1  manage  8.4 K  20150512  08:48  MartinAleksa  Timing plots EMEC, EMB 
Av_FEB_BeamSplash_EMB.pdf  r1  manage  14.3 K  20150512  08:48  MartinAleksa  Timing plots EMEC, EMB  
png  Av_FEB_BeamSplash_EMB.png  r1  manage  11.1 K  20150512  08:48  MartinAleksa  Timing plots EMEC, EMB 
eps  Av_FEB_BeamSplash_EMEC.eps  r1  manage  8.4 K  20150512  08:48  MartinAleksa  Timing plots EMEC, EMB 
Av_FEB_BeamSplash_EMEC.pdf  r1  manage  14.3 K  20150512  08:48  MartinAleksa  Timing plots EMEC, EMB  
png  Av_FEB_BeamSplash_EMEC.png  r1  manage  11.0 K  20150512  08:48  MartinAleksa  Timing plots EMEC, EMB 
eps  NBlostlumivslumi2016222.eps  r1  manage  10.9 K  20160428  11:47  MartinAleksa  Noise burst plots 2015 
NBlostlumivslumi2016222.pdf  r1  manage  15.1 K  20160428  11:47  MartinAleksa  Noise burst plots 2015  
png  NBlostlumivslumi2016222.png  r1  manage  22.2 K  20160428  11:47  MartinAleksa  Noise burst plots 2015 
eps  defects2016.eps  r1  manage  20.7 K  20170725  14:37  MartinAleksa  
defects2016.pdf  r1  manage  15.1 K  20170725  14:37  MartinAleksa  
png  defects2016.png  r1  manage  18.7 K  20170725  14:37  MartinAleksa  
eps  defects2016_2015.eps  r1  manage  14.5 K  20170725  14:36  MartinAleksa  
defects2016_2015.pdf  r1  manage  14.3 K  20170725  14:36  MartinAleksa  
png  defects2016_2015.png  r1  manage  19.9 K  20170725  14:36  MartinAleksa  
eps  defects2016log.eps  r1  manage  19.5 K  20170725  14:36  MartinAleksa  
defects2016log.pdf  r1  manage  14.8 K  20170725  14:36  MartinAleksa  
png  defects2016log.png  r1  manage  19.2 K  20170725  14:36  MartinAleksa  
jpg  larbeamsplashplots2015_beam1.jpg  r1  manage  196.3 K  20150505  00:06  MartinAleksa  
jpg  larbeamsplashplots2015_beam2.jpg  r1  manage  187.9 K  20150505  00:06  MartinAleksa  
eps  veto2016.eps  r1  manage  12.9 K  20170725  14:37  MartinAleksa  
veto2016.pdf  r1  manage  14.2 K  20170725  14:37  MartinAleksa  
png  veto2016.png  r1  manage  15.2 K  20170725  14:37  MartinAleksa  
eps  veto2016_2015.eps  r1  manage  10.8 K  20170725  14:36  MartinAleksa  
veto2016_2015.pdf  r1  manage  13.8 K  20170725  14:36  MartinAleksa  
png  veto2016_2015.png  r1  manage  16.1 K  20170725  14:36  MartinAleksa  
compositelarbeamsplashplots2015.pdf  r1  manage  823.3 K  20150504  18:25  MartinAleksa  LAr Splashes Summary Files  
larbeamsplashplots2015.pdf  r1  manage  1649.7 K  20150504  18:25  MartinAleksa  LAr Splashes Summary Files  
eps  AvgSpalashesApr2015Composite_Barrel_EMEC_HEC_LArOnly.eps  r1  manage  7480.9 K  20150505  09:14  MartinAleksa  LAr splash plots with all sides 
AvgSpalashesApr2015Composite_Barrel_EMEC_HEC_LArOnly.pdf  r1  manage  819.8 K  20150505  09:14  MartinAleksa  LAr splash plots with all sides  
eps  r260466_lb0747_e17219_splash_AllCells_minus_FCal_Barrel_EMEC_HEC_LArOnly.eps  r1  manage  7646.0 K  20150505  09:14  MartinAleksa  LAr splash plots with all sides 
r260466_lb0747_e17219_splash_AllCells_minus_FCal_Barrel_EMEC_HEC_LArOnly.pdf  r1  manage  855.3 K  20150505  09:14  MartinAleksa  LAr splash plots with all sides  
eps  r260466_lb1103_e24650_splash_AllCells_minus_FCal_Barrel_EMEC_HEC_LArOnly.eps  r1  manage  7549.2 K  20150505  09:14  MartinAleksa  LAr splash plots with all sides 
r260466_lb1103_e24650_splash_AllCells_minus_FCal_Barrel_EMEC_HEC_LArOnly.pdf  r1  manage  817.8 K  20150505  09:14  MartinAleksa  LAr splash plots with all sides  
eps  EMB_Presampler_PulseShape_Preliminary.eps  r1  manage  8.6 K  20170214  18:14  MartinAleksa  LAr Pulse Shape and BCID Correction 
EMB_Presampler_PulseShape_Preliminary.pdf  r1  manage  14.8 K  20170214  18:14  MartinAleksa  LAr Pulse Shape and BCID Correction  
png  EMB_Presampler_PulseShape_Preliminary.png  r1  manage  15.0 K  20170214  18:14  MartinAleksa  LAr Pulse Shape and BCID Correction 
eps  EMB_Sampling2_PulseShape_Preliminary.eps  r1  manage  8.7 K  20170214  18:14  MartinAleksa  LAr Pulse Shape and BCID Correction 
EMB_Sampling2_PulseShape_Preliminary.pdf  r1  manage  14.9 K  20170214  18:14  MartinAleksa  LAr Pulse Shape and BCID Correction  
png  EMB_Sampling2_PulseShape_Preliminary.png  r1  manage  15.4 K  20170214  18:14  MartinAleksa  LAr Pulse Shape and BCID Correction 
eps  ed_diff_vs_bvid_Preliminary.eps  r1  manage  21.4 K  20170214  18:14  MartinAleksa  LAr Pulse Shape and BCID Correction 
ed_diff_vs_bvid_Preliminary.pdf  r1  manage  21.8 K  20170214  18:14  MartinAleksa  LAr Pulse Shape and BCID Correction  
png  ed_diff_vs_bvid_Preliminary.png  r1  manage  79.2 K  20170214  18:14  MartinAleksa  LAr Pulse Shape and BCID Correction 
eps  et_vs_bcid_Preliminary.eps  r1  manage  17.9 K  20170214  18:14  MartinAleksa  LAr Pulse Shape and BCID Correction 
et_vs_bcid_Preliminary.pdf  r1  manage  18.1 K  20170214  18:14  MartinAleksa  LAr Pulse Shape and BCID Correction  
png  et_vs_bcid_Preliminary.png  r1  manage  68.1 K  20170214  18:14  MartinAleksa  LAr Pulse Shape and BCID Correction 
eps  afterCells_linear.eps  r1  manage  177.7 K  20170214  17:05  MartinAleksa  LAr Mini Noise Burst Plots 2016 
afterCells_linear.pdf  r1  manage  53.3 K  20170214  17:05  MartinAleksa  LAr Mini Noise Burst Plots 2016  
png  afterCells_linear.png  r1  manage  19.0 K  20170214  17:05  MartinAleksa  LAr Mini Noise Burst Plots 2016 
eps  beforeCells_linear.eps  r1  manage  177.6 K  20170214  17:05  MartinAleksa  LAr Mini Noise Burst Plots 2016 
beforeCells_linear.pdf  r1  manage  53.6 K  20170214  17:05  MartinAleksa  LAr Mini Noise Burst Plots 2016  
png  beforeCells_linear.png  r1  manage  19.1 K  20170214  17:05  MartinAleksa  LAr Mini Noise Burst Plots 2016 
jpg  Screen_Shot_20170215_at_15.27.54.jpg  r1  manage  283.4 K  20170215  15:32  MartinAleksa  LAr IBL Screen Shots 2016 
jpg  Screen_Shot_20170215_at_15.28.43.jpg  r1  manage  279.8 K  20170215  15:32  MartinAleksa  LAr IBL Screen Shots 2016 
jpg  Screen_Shot_20170215_at_15.28.57.jpg  r1  manage  288.0 K  20170215  15:32  MartinAleksa  LAr IBL Screen Shots 2016 
jpg  Screen_Shot_20170215_at_15.29.13.jpg  r1  manage  284.6 K  20170215  15:32  MartinAleksa  LAr IBL Screen Shots 2016 
jpg  Screen_Shot_20170215_at_15.29.28.jpg  r1  manage  287.3 K  20170215  15:32  MartinAleksa  LAr IBL Screen Shots 2016 
jpg  Screen_Shot_20170215_at_15.29.50.jpg  r1  manage  287.7 K  20170215  15:32  MartinAleksa  LAr IBL Screen Shots 2016 
eps  FCalA1_MinBias_data2012_RMS_over_avg_ATLAS_Label.eps  r1  manage  766.9 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016 
FCalA1_MinBias_data2012_RMS_over_avg_ATLAS_Label.pdf  r1  manage  171.8 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016  
png  FCalA1_MinBias_data2012_RMS_over_avg_ATLAS_Label.png  r1  manage  47.0 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016 
eps  FCalA1_ZeroBias_data2015_RMS_over_avg_ATLAS_Label.eps  r1  manage  758.6 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016 
FCalA1_ZeroBias_data2015_RMS_over_avg_ATLAS_Label.pdf  r1  manage  170.4 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016  
png  FCalA1_ZeroBias_data2015_RMS_over_avg_ATLAS_Label.png  r1  manage  47.1 K  20170215  10:36  MartinAleksa  LAr IBL Plots 2016 
eps  FCalA1_ZeroBias_data2016_RMS_over_avg_ATLAS_Label.eps  r1  manage  764.1 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016 
FCalA1_ZeroBias_data2016_RMS_over_avg_ATLAS_Label.pdf  r1  manage  171.6 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016  
png  FCalA1_ZeroBias_data2016_RMS_over_avg_ATLAS_Label.png  r1  manage  47.1 K  20170215  10:36  MartinAleksa  LAr IBL Plots 2016 
eps  FCalA1_s2879_E_over_avg_ATLAS_Label.eps  r1  manage  793.8 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016 
FCalA1_s2879_E_over_avg_ATLAS_Label.pdf  r1  manage  175.4 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016  
png  FCalA1_s2879_E_over_avg_ATLAS_Label.png  r1  manage  47.2 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016 
eps  FCalA1_s2880_E_over_avg_ATLAS_Label.eps  r1  manage  793.3 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016 
FCalA1_s2880_E_over_avg_ATLAS_Label.pdf  r1  manage  176.5 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016  
png  FCalA1_s2880_E_over_avg_ATLAS_Label.png  r1  manage  47.5 K  20170215  10:36  MartinAleksa  LAr IBL Plots 2016 
eps  FCalA1_s2882_E_over_avg_ATLAS_Label.eps  r1  manage  791.5 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016 
FCalA1_s2882_E_over_avg_ATLAS_Label.pdf  r1  manage  175.6 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016  
png  FCalA1_s2882_E_over_avg_ATLAS_Label.png  r1  manage  47.1 K  20170215  10:36  MartinAleksa  LAr IBL Plots 2016 
eps  FCalC1_MinBias_data2012_RMS_over_avg_ATLAS_Label.eps  r1  manage  768.8 K  20170215  10:22  MartinAleksa  LAr IBL Plots 2016 
FCalC1_MinBias_data2012_RMS_over_avg_ATLAS_Label.pdf  r1  manage  172.2 K  20170215  10:22  MartinAleksa  LAr IBL Plots 2016  
png  FCalC1_MinBias_data2012_RMS_over_avg_ATLAS_Label.png  r1  manage  46.4 K  20170215  10:36  MartinAleksa  LAr IBL Plots 2016 
eps  FCalC1_ZeroBias_data2015_RMS_over_avg_ATLAS_Label.eps  r1  manage  760.1 K  20170215  10:22  MartinAleksa  LAr IBL Plots 2016 
FCalC1_ZeroBias_data2015_RMS_over_avg_ATLAS_Label.pdf  r1  manage  170.8 K  20170215  10:22  MartinAleksa  LAr IBL Plots 2016  
png  FCalC1_ZeroBias_data2015_RMS_over_avg_ATLAS_Label.png  r1  manage  46.6 K  20170215  10:36  MartinAleksa  LAr IBL Plots 2016 
eps  FCalC1_ZeroBias_data2016_RMS_over_avg_ATLAS_Label.eps  r1  manage  765.3 K  20170215  10:22  MartinAleksa  LAr IBL Plots 2016 
FCalC1_ZeroBias_data2016_RMS_over_avg_ATLAS_Label.pdf  r1  manage  171.9 K  20170215  10:22  MartinAleksa  LAr IBL Plots 2016  
png  FCalC1_ZeroBias_data2016_RMS_over_avg_ATLAS_Label.png  r1  manage  46.6 K  20170215  10:36  MartinAleksa  LAr IBL Plots 2016 
eps  FCalC1_s2879_E_over_avg_ATLAS_Label.eps  r1  manage  793.0 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016 
FCalC1_s2879_E_over_avg_ATLAS_Label.pdf  r1  manage  175.3 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016  
png  FCalC1_s2879_E_over_avg_ATLAS_Label.png  r1  manage  46.8 K  20170215  10:36  MartinAleksa  LAr IBL Plots 2016 
eps  FCalC1_s2880_E_over_avg_ATLAS_Label.eps  r1  manage  792.6 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016 
FCalC1_s2880_E_over_avg_ATLAS_Label.pdf  r1  manage  176.7 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016  
png  FCalC1_s2880_E_over_avg_ATLAS_Label.png  r1  manage  46.9 K  20170215  10:36  MartinAleksa  LAr IBL Plots 2016 
eps  FCalC1_s2882_E_over_avg_ATLAS_Label.eps  r1  manage  792.9 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016 
FCalC1_s2882_E_over_avg_ATLAS_Label.pdf  r1  manage  175.9 K  20170215  10:21  MartinAleksa  LAr IBL Plots 2016  
png  FCalC1_s2882_E_over_avg_ATLAS_Label.png  r1  manage  46.5 K  20170215  10:36  MartinAleksa  LAr IBL Plots 2016 
eps  LArDQrun2veto.eps  r1  manage  12.8 K  20190129  11:18  SteffenStaerz  LAr Data Quality Run 2: Veto 
LArDQrun2veto.pdf  r1  manage  14.1 K  20190129  11:18  SteffenStaerz  LAr Data Quality Run 2: Veto  
png  LArDQrun2veto.png  r1  manage  177.7 K  20190129  11:18  SteffenStaerz  LAr Data Quality Run 2: Veto 
eps  LArDQrun2defects.eps  r1  manage  17.6 K  20190129  11:11  SteffenStaerz  LAr Data Quality Run 2: Defects 
LArDQrun2defects.pdf  r1  manage  14.6 K  20190129  11:11  SteffenStaerz  LAr Data Quality Run 2: Defects  
png  LArDQrun2defects.png  r1  manage  217.1 K  20190129  11:11  SteffenStaerz  LAr Data Quality Run 2: Defects 
AvgSpalashesApr2015Composite_Barrel_LArOnly.pdf  r1  manage  164.0 K  20150504  18:07  MartinAleksa  LAr Beam Splash Plots  
AvgSpalashesApr2015Composite_EMEC_HEC_SumA_LArOnly.pdf  r1  manage  284.4 K  20150504  18:07  MartinAleksa  LAr Beam Splash Plots  
AvgSpalashesApr2015Composite_EMEC_HEC_SumC_LArOnly.pdf  r1  manage  284.1 K  20150504  18:07  MartinAleksa  LAr Beam Splash Plots  
jpg  compositelarbeamsplashplots2015.jpg  r1  manage  189.4 K  20150504  18:05  MartinAleksa  LAr Beam Splash Plots 
eps  r260466_lb0747_e17219_splash_AllCells_minus_FCal_Barrel_LArOnly.eps  r1  manage  1280.6 K  20150504  18:05  MartinAleksa  LAr Beam Splash Plots 
r260466_lb0747_e17219_splash_AllCells_minus_FCal_Barrel_LArOnly.pdf  r1  manage  177.6 K  20150504  18:07  MartinAleksa  LAr Beam Splash Plots  
eps  r260466_lb0747_e17219_splash_AllCells_minus_FCal_EMEC_HEC_SumA_LArOnly.eps  r1  manage  1544.6 K  20150504  18:05  MartinAleksa  LAr Beam Splash Plots 
r260466_lb0747_e17219_splash_AllCells_minus_FCal_EMEC_HEC_SumA_LArOnly.pdf  r1  manage  292.6 K  20150504  18:07  MartinAleksa  LAr Beam Splash Plots  
eps  r260466_lb0747_e17219_splash_AllCells_minus_FCal_EMEC_HEC_SumC_LArOnly.eps  r1  manage  1564.8 K  20150504  18:05  MartinAleksa  LAr Beam Splash Plots 
r260466_lb0747_e17219_splash_AllCells_minus_FCal_EMEC_HEC_SumC_LArOnly.pdf  r1  manage  292.2 K  20150504  18:07  MartinAleksa  LAr Beam Splash Plots  
eps  r260466_lb1103_e24650_splash_AllCells_minus_FCal_Barrel_LArOnly.eps  r1  manage  1214.9 K  20150504  18:05  MartinAleksa  LAr Beam Splash Plots 
r260466_lb1103_e24650_splash_AllCells_minus_FCal_Barrel_LArOnly.pdf  r1  manage  164.2 K  20150504  18:07  MartinAleksa  LAr Beam Splash Plots  
eps  r260466_lb1103_e24650_splash_AllCells_minus_FCal_EMEC_HEC_SumA_LArOnly.eps  r1  manage  1517.8 K  20150504  18:05  MartinAleksa  LAr Beam Splash Plots 
r260466_lb1103_e24650_splash_AllCells_minus_FCal_EMEC_HEC_SumA_LArOnly.pdf  r1  manage  284.8 K  20150504  18:07  MartinAleksa  LAr Beam Splash Plots  
eps  r260466_lb1103_e24650_splash_AllCells_minus_FCal_EMEC_HEC_SumC_LArOnly.eps  r1  manage  1601.6 K  20150504  18:05  MartinAleksa  LAr Beam Splash Plots 
r260466_lb1103_e24650_splash_AllCells_minus_FCal_EMEC_HEC_SumC_LArOnly.pdf  r1  manage  283.4 K  20150504  18:07  MartinAleksa  LAr Beam Splash Plots  
eps  AvgSpalashesApr2015Composite_Barrel_LArOnly.eps  r1  manage  1182.6 K  20150504  18:06  MartinAleksa  LAr Beam Splas Plots 
eps  AvgSpalashesApr2015Composite_EMEC_HEC_SumA_LArOnly.eps  r1  manage  1543.1 K  20150504  18:06  MartinAleksa  LAr Beam Splas Plots 
eps  AvgSpalashesApr2015Composite_EMEC_HEC_SumC_LArOnly.eps  r1  manage  1593.2 K  20150504  18:06  MartinAleksa  LAr Beam Splas Plots 
Av_FEB_EMB.pdf  r1  manage  9.4 K  20160125  17:42  MartinAleksa  FEB timing plots pdf (2015)  
Av_FEB_EMEC.pdf  r1  manage  9.5 K  20160125  17:42  MartinAleksa  FEB timing plots pdf (2015)  
Av_FEB_FCAL.pdf  r1  manage  9.2 K  20160125  17:42  MartinAleksa  FEB timing plots pdf (2015)  
Av_FEB_HEC.pdf  r1  manage  9.4 K  20160125  17:42  MartinAleksa  FEB timing plots pdf (2015)  
eps  Av_FEB_EMB.eps  r1  manage  9.3 K  20160125  17:39  MartinAleksa  FEB timing plots 2015 
gif  Av_FEB_EMB.gif  r1  manage  10.9 K  20160125  17:39  MartinAleksa  FEB timing plots 2015 
eps  Av_FEB_EMEC.eps  r1  manage  9.1 K  20160125  17:39  MartinAleksa  FEB timing plots 2015 
gif  Av_FEB_EMEC.gif  r1  manage  10.6 K  20160125  17:39  MartinAleksa  FEB timing plots 2015 
eps  Av_FEB_FCAL.eps  r1  manage  8.5 K  20160125  17:39  MartinAleksa  FEB timing plots 2015 
gif  Av_FEB_FCAL.gif  r1  manage  9.9 K  20160125  17:39  MartinAleksa  FEB timing plots 2015 
eps  Av_FEB_HEC.eps  r1  manage  8.7 K  20160125  17:39  MartinAleksa  FEB timing plots 2015 
gif  Av_FEB_HEC.gif  r1  manage  10.0 K  20160125  17:39  MartinAleksa  FEB timing plots 2015 
eps  defectsPeriod2017logy.eps  r1  manage  18.7 K  20180214  15:44  SteffenStaerz  Defects Period 2017 log scale 
defectsPeriod2017logy.pdf  r1  manage  14.5 K  20180214  15:44  SteffenStaerz  Defects Period 2017 log scale  
png  defectsPeriod2017logy.png  r1  manage  17.2 K  20180214  15:44  SteffenStaerz  Defects Period 2017 log scale 
eps  defectsPeriod2017.eps  r1  manage  19.7 K  20180214  15:42  SteffenStaerz  Defects Period 2017 
defectsPeriod2017.pdf  r1  manage  14.7 K  20180214  15:42  SteffenStaerz  Defects Period 2017  
png  defectsPeriod2017.png  r1  manage  17.7 K  20180214  15:42  SteffenStaerz  Defects Period 2017 
eps  hec_48b.eps  r1  manage  22.2 K  20170926  11:11  SteffenStaerz  8b4e filling scheme HEC 
hec_48b.pdf  r1  manage  26.3 K  20170926  11:11  SteffenStaerz  8b4e filling scheme HEC  
png  hec_48b.png  r1  manage  255.0 K  20170926  11:11  SteffenStaerz  8b4e filling scheme HEC 
eps  hec_8b.eps  r1  manage  24.5 K  20170926  11:11  SteffenStaerz  8b4e filling scheme HEC 
hec_8b.pdf  r1  manage  28.3 K  20170926  11:11  SteffenStaerz  8b4e filling scheme HEC  
png  hec_8b.png  r1  manage  282.8 K  20170926  11:11  SteffenStaerz  8b4e filling scheme HEC 
eps  fcal_48b.eps  r1  manage  22.6 K  20170926  11:10  SteffenStaerz  8b4e filling scheme FCAL 
fcal_48b.pdf  r1  manage  26.6 K  20170926  11:10  SteffenStaerz  8b4e filling scheme FCAL  
png  fcal_48b.png  r1  manage  277.2 K  20170926  11:10  SteffenStaerz  8b4e filling scheme FCAL 
eps  fcal_8b.eps  r1  manage  24.8 K  20170926  11:10  SteffenStaerz  8b4e filling scheme FCAL 
fcal_8b.pdf  r1  manage  28.6 K  20170926  11:10  SteffenStaerz  8b4e filling scheme FCAL  
png  fcal_8b.png  r1  manage  298.8 K  20170926  11:10  SteffenStaerz  8b4e filling scheme FCAL 
eps  emec_48b.eps  r1  manage  23.0 K  20170926  11:10  SteffenStaerz  8b4e filling scheme EMEC 
emec_48b.pdf  r1  manage  26.8 K  20170926  11:10  SteffenStaerz  8b4e filling scheme EMEC  
png  emec_48b.png  r1  manage  282.3 K  20170926  11:10  SteffenStaerz  8b4e filling scheme EMEC 
eps  emec_8b.eps  r1  manage  25.2 K  20170926  11:10  SteffenStaerz  8b4e filling scheme EMEC 
emec_8b.pdf  r1  manage  28.7 K  20170926  11:10  SteffenStaerz  8b4e filling scheme EMEC  
png  emec_8b.png  r1  manage  298.4 K  20170926  11:10  SteffenStaerz  8b4e filling scheme EMEC 
eps  emb_48b.eps  r1  manage  22.2 K  20170926  11:09  SteffenStaerz  8b4e filling scheme EMB 
emb_48b.pdf  r1  manage  26.5 K  20170926  11:09  SteffenStaerz  8b4e filling scheme EMB  
png  emb_48b.png  r1  manage  258.5 K  20170926  11:09  SteffenStaerz  8b4e filling scheme EMB 
eps  emb_8b.eps  r1  manage  24.5 K  20170926  11:09  SteffenStaerz  8b4e filling scheme EMB 
emb_8b.pdf  r1  manage  28.6 K  20170926  11:09  SteffenStaerz  8b4e filling scheme EMB  
png  emb_8b.png  r1  manage  281.8 K  20170926  11:09  SteffenStaerz  8b4e filling scheme EMB 