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ApprovedPlotsTileMinimumBiasSystem

Introduction

This page lists the public plots illustrating Minimum Bias system results,

Minimum Bias System

During the LHC collisions a dedicated TileCal readout provides measurement of the anode current for every photomultplier. An average anode current for A13 cell of the TileCal is shown as a functon of the instant luminosity on full data sample taken in 2010. The errors on the current are the quadratc sum of the statstcal and systematc errors. The red lines are obtained from the linear ft of the data points.
Contact: Jalal.Abdallah@cern.ch , korolkov@ifae.es and ggonzalez@ifae.es
Reference: CDS ATLAS-PLOT-TILECAL-2011-002
CurrentVsLuminosity.png
[eps]
Distribution of the Tile Calorimeter relatve anode current measured in 2010 collisions in LBA A4 (PMT 19) using the integrator data collected during runs 166142, 166786, 167844, and 167776, where the instant luminosity ranges from 0.5 x 10^32 to 1.8 x 10^32 cm-2s-1. The module number is shown on the X-axis, while the Y-axis shows the relatve anode current. The error bars represent the run to run variaton of the measurement (RMS), also shown separately on the botom plot. This variaton is typical about 0.5% refectng the stability of the system. The standard deviaton module to module is about 1.5%, and the dashed lines represent a ±2.5% band enclosing 90% of the measurements.
Contact: Jalal.Abdallah@cern.ch , korolkov@ifae.es and ggonzalez@ifae.es
Reference: CDS ATLAS-PLOT-TILECAL-2011-002
FinalUniformity-3.png
[eps]
During the LHC collisions a dedicated TileCal readout (Minimum Bias) provides measurement of the anode current for every photomultiplier. Anode current of a cell type is shown as a function of η for the three TileCal layers using data collected in 2011 with the MinBias system (bad PMTs are not considered). The instant luminosity is 1.9x10^32 cm-2s-1 inducing a typical current in the central region |η|<0.5 of 3, 1 and 0.05 nA in the A, BC and D layers respectively. Cell type D0 is omitted.
Contact: Jalal Abdallah Jalal.Abdallah@cernNOSPAMPLEASE.ch, korolkov@ifae.es and Garoe Gonzalez ggonzalez@ifaeNOSPAMPLEASE.es
Reference: ATLAS-PLOT-TILECAL-2011-006
Date: 30 May 2011
CurrentVsCell.png
[eps]
Current vs η measured by Minimum Bias system in proton-proton collision data collected during run 207046 of the 2012 data period. A range of 30 consecutive lumiblocks (time interval) has been used. The average of the corresponding instantaneous luminosity is 4.7 x 1033 cm-2 s-1. Each cell of the Tile Calorimeter covers a range in η. The cells are distributed over 64 modules and read out by one or two PMTs. The average current for all channels belonging to a cell is shown in this plot. The error bars represent the standard deviation of currents measured for a given cell.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch, and Cora Fischer cora.fischer@cernNOSPAMPLEASE.ch
Date: 4 May 2016
Current_vs_eta_PROF_instLumi_2012_30_207046.png
[eps]
Luminosity coefficient (current/instantaneous luminosity) vs η measured by Minimum Bias system in proton-proton collision data collected during run 207046 of the 2012 data period. A range of 30 consecutive lumiblocks (time interval) has been used. The average of the corresponding instantaneous luminosity is 4.7 x 1033 cm-2 s-1. Each cell of the Tile Calorimeter covers a range in η. The cells are distributed over 64 modules and read out by one or two PMTs. The average currents for all channels belonging to a cell have been used to calculate the luminosity coefficient by dividing by the corresponding average inst. luminosity. The error bars represent the standard deviation of currents/average inst. luminosity measured for a given cell.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch, and Cora Fischer cora.fischer@cernNOSPAMPLEASE.ch
Date: 4 May 2016
Coeff_vs_eta_PROF_instLumi_2012_30_207046.png
[eps]
Current vs η measured by Minimum Bias system in proton-proton collision data collected during run 276262 of the 2015 data period. A range of 30 consecutive lumiblocks (time interval) has been used. The average of the corresponding instantaneous luminosity is 0.4 x 1033 cm-2 s-1. Each cell of the Tile Calorimeter covers a range in η. The cells are distributed over 64 modules and read out by one or two PMTs. The average current for all channels belonging to a cell is shown in this plot. The error bars represent the standard deviation of currents measured for a given cell.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch, and Cora Fischer cora.fischer@cernNOSPAMPLEASE.ch
Date: 4 May 2016
Current_vs_eta_PROF_instLumi_2015_30_276262.png
[eps]
Luminosity coefficient (current/ instantaneous luminosity) vs η measured by Minimum Bias system in proton-proton collision data collected during run 276262 of the 2015 data period. A range of 30 consecutive lumiblocks (time interval) has been used. The average of the corresponding instantaneous luminosity is 0.4 x 1033 cm-2 s-1. Each cell of the Tile Calorimeter covers a range in η. The cells are distributed over 64 modules and read out by one or two PMTs. The average currents for all channels belonging to a cell have been used to calculate the luminosity coefficient by dividing by the corresponding avarage inst. luminosity. The error bars represent the standard deviation of currents/average inst. luminosity measured for a given cell.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch, and Cora Fischer cora.fischer@cernNOSPAMPLEASE.ch
Date: 4 May 2016
Coeff_vs_eta_PROF_instLumi_2015_30_276262.png
[eps]
Current vs η measured by Minimum Bias system in proton-proton collision data collected during run 276262 of the 2015 data period. A range of 30 consecutive lumiblocks (time interval) has been used. The average of the corresponding instantaneous luminosity is 0.4 x 1033 cm-2 s-1. Each cell of the Tile Calorimeter covers a range in η. The cells are distributed over 64 modules and read out by one or two PMTs. The average current for all channels belonging to a cell is shown in this plot. The error bars represent the standard deviation of currents measured for a given cell. Different sets of gains are used in the cells in the gap/crack region (E-cells) to measure the higher currents.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch, and Cora Fischer cora.fischer@cernNOSPAMPLEASE.ch
Date: 4 May 2016
Current_vs_eta_logPROF_instLumi_2015_30_276262.png
[eps]
Luminosity coefficient (current/instantaneous luminosity) vs η measured by Minimum Bias system in proton-proton collision data collected during run 276262 of the 2015 data period. A range of 30 consecutive lumiblocks (time interval) has been used. The average of the corresponding instantaneous luminosity is 0.4 x 1033 cm-2 s-1. Each cell of the Tile Calorimeter covers a range in η. The cells are distributed over 64 modules and read out by one or two PMTs. The average currents for all channels belonging to a cell have been used to calculate the luminosity coefficient by dividing by the corresponding avarage inst. luminosity. The error bars represent the standard deviation of currents/average inst. luminosity measured for a given cell. Different sets of gains are used in the cells in the gap/crack region (E-cells) to measure the higher currents.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch, and Cora Fischer cora.fischer@cernNOSPAMPLEASE.ch
Date: 4 May 2016
Coeff_vs_eta_logPROF_instLumi_2015_30_276262.png
[eps]
Current vs. instantaneous luminosity measured by Minimum Bias system during the proton-proton collision data taking in 2015. The currents were measured by PMT 17 of module 22 in the C-side Extended Barrel. This channel belongs to cell D5, which is stable within 1-2% over 2015 data taking period. The considered runs are spread over the whole data taking period and fulfill the quality requirements used for physics analyses. The profile of the 2D histogram is drawn as black points. A linear dependence of the current with respect to the instantaneous luminosity can be observed.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch, and Cora Fischer cora.fischer@cernNOSPAMPLEASE.ch
Date: 4 May 2016
CurrentVsLumi_MBias_EBC_m22_c17_2015.png
[eps]
Average current vs. instantaneous luminosity measured by Minimum Bias system during the proton-proton collision data taking in 2015. The currents were measured by PMT 17 of module 22 in the C-side Extended Barrel. This channel belongs to cell D5, which is stable within 1-2% over 2015 data taking period. The considered runs are spread over the whole data taking period and fulfill the quality requirements used for physics analyses. A linear fit has been performed. The fit parameters are given in the upper panel of the plot. The lower panel shows the ratio of the current over the fitted function. A good linear description of the current vs instantaneous luminosity can be observed.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch, and Cora Fischer cora.fischer@cernNOSPAMPLEASE.ch
Date: 4 May 2016
CurrentVsLumi_MBias_EBC_m22_c17_ratioPlot_2015.png
[eps]
Current vs η measured by Minimum Bias system in proton-proton collision data collected during run 298633 of the 2016 data period. A range of 30 consecutive lumiblocks (time interval) has been used. The average of the corresponding instantaneous luminosity is 0.2 x 1033 cm-2 s-1 (as measured online by ATLAS preferred algorithm). Each cell of the Tile Calorimeter covers a range in η. The cells are distributed over 64 modules and read out by one or two PMTs. The average current for all channels belonging to a cell is shown in this plot. The error bars represent the standard deviation of currents measured for a given cell.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch, and Cora Fischer cora.fischer@cernNOSPAMPLEASE.ch
Date: 30 May 2016
Current_vs_eta_PROF_instLumi_2016_30_298633.png
[eps]
Luminosity coefficient (current/ instantaneous luminosity) vs η measured by Minimum Bias system in proton-proton collision data collected during run 298633 of the 2016 data period. A range of 30 consecutive lumiblocks (time interval) has been used. The average of the corresponding instantaneous luminosity is 0.2 x 1033 cm-2 s-1 (as measured online by ATLAS preferred algorithm). Each cell of the Tile Calorimeter covers a range in η. The cells are distributed over 64 modules and read out by one or two PMTs. The average currents for all channels belonging to a cell have been used to calculate the luminosity coefficient by dividing by the corresponding average instantaneous luminosity. The error bars represent the standard deviation of currents/average inst. luminosity measured for a given cell.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch, and Cora Fischer cora.fischer@cernNOSPAMPLEASE.ch
Date: 30 May 2016
Coeff_vs_eta_PROF_instLumi_2016_30_298633.png
[eps]
Current vs η measured by Minimum Bias system in proton-proton collision data collected during run 298633 of the 2016 data period. A range of 30 consecutive lumiblocks (time interval) has been used. The average of the corresponding instantaneous luminosity is 0.2 x 1033 cm-2 s-1 (as measured online by ATLAS preferred algorithm). Each cell of the Tile Calorimeter covers a range in η. The cells are distributed over 64 modules and read out by one or two PMTs. The average current for all channels belonging to a cell is shown in this plot. The error bars represent the standard deviation of currents measured for a given cell. Different sets of gains are used in the cells in the gap/crack region (E-cells) to measure the higher currents.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch, and Cora Fischer cora.fischer@cernNOSPAMPLEASE.ch
Date: 30 May 2016
Current_vs_eta_logPROF_instLumi_2016_30_298633.png
[eps]
Luminosity coefficient (current/instantaneous luminosity) vs η measured by Minimum Bias system in proton-proton collision data collected during run 298633 of the 2016 data period. A range of 30 consecutive lumiblocks (time interval) has been used. The average of the corresponding instantaneous luminosity is 0.2 x 1033 cm-2 s-1 (as measured online by ATLAS preferred algorithm). Each cell of the Tile Calorimeter covers a range in η. The cells are distributed over 64 modules and read out by one or two PMTs. The average currents for all channels belonging to a cell have been used to calculate the luminosity coefficient by dividing by the corresponding average instantaneous luminosity. The error bars represent the standard deviation of currents/average inst. luminosity measured for a given cell. Different sets of gains are used in the cells in the gap/crack region (E-cells) to measure the higher currents.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch, and Cora Fischer cora.fischer@cernNOSPAMPLEASE.ch
Date: 30 May 2016
Coeff_vs_eta_logPROF_instLumi_2016_30_298633.png
[eps]
PMT anode current vs η measured by Minimum Bias system in proton-proton collision data collected during run 325713 of the 2017 data period. A range of 20 consecutive lumiblocks (time interval) has been used. The average of the corresponding instantaneous luminosity is 2.8 x 1033 cm-2 s-1 (as measured online by ATLAS preferred algorithm). Each cell of the Tile Calorimeter covers a range in η. The cells are distributed over 64 modules in phi and read out by one or two PMTs. The average current for all channels belonging to a cell is shown in this plot. The error bars represent the standard deviation of currents measured for a given cell.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch
Date: 14 May 2018
Current_vs_eta_PROF_instLumi_2017_20_325713.png
[eps][pdf]
Luminosity coefficient (PMT anode current/ instantaneous luminosity) vs η measured by Minimum Bias system in proton-proton collision data collected during run 325713 of the 2017 data period. A range of 20 consecutive lumiblocks (time interval) has been used. The average of the corresponding instantaneous luminosity is 2.8 x 1033 cm-2 s-1 (as measured online by ATLAS preferred algorithm). Each cell of the Tile Calorimeter covers a range in η. The cells are distributed over 64 modules in phi and read out by one or two PMTs. The average currents for all channels belonging to a cell have been used to calculate the luminosity coefficient by dividing by the corresponding average instantaneous luminosity. The error bars represent the standard deviation of currents/average inst. luminosity measured for a given cell.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch
Date: 14 May 2018
Coeff_vs_eta_PROF_instLumi_2017_20_325713.png
[eps][pdf]
PMT anode current vs η measured by Minimum Bias system in proton-proton collision data collected during run 325713 of the 2017 data period. A range of 20 consecutive lumiblocks (time interval) has been used. The average of the corresponding instantaneous luminosity is 2.8 x 1033 cm-2 s-1 (as measured online by ATLAS preferred algorithm). Each cell of the Tile Calorimeter covers a range in η. The cells are distributed over 64 modules in phi and read out by one or two PMTs. The average current for all channels belonging to a cell is shown in this plot. The error bars represent the standard deviation of currents measured for a given cell. Different sets of gains are used in the cells in the gap/crack region (E-cells) to measure the higher currents.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch
Date: 14 May 2018
Current_vs_eta_logPROF_instLumi_2017_20_325713.png
[eps][pdf]
Luminosity coefficient (PMT anode current/instantaneous luminosity) vs η measured by Minimum Bias system in proton-proton collision data collected during run 325713 of the 2017 data period. A range of 20 consecutive lumiblocks (time interval) has been used. The average of the corresponding instantaneous luminosity is 2.8 x 1033 cm-2 s-1 (as measured online by ATLAS preferred algorithm). Each cell of the Tile Calorimeter covers a range in η. The cells are distributed over 64 modules in phi and read out by one or two PMTs. The average currents for all channels belonging to a cell have been used to calculate the luminosity coefficient by dividing by the corresponding average instantaneous luminosity. The error bars represent the standard deviation of currents/average inst. luminosity measured for a given cell. Different sets of gains are used in the cells in the gap/crack region (E-cells) to measure the higher currents.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch
Date: 14 May 2018
Coeff_vs_eta_logPROF_instLumi_2017_20_325713.png
[eps] [pdf]
PMT anode current vs η measured by Minimum Bias system in proton-proton collision data collected during run 348610 of the 2018 data period. A range of 20 consecutive lumiblocks (time interval) has been used. The average of the corresponding instantaneous luminosity is 1.7 x 1033 cm-2 s-1. Each cell of the Tile Calorimeter covers a range in η. The cells are distributed over 64 modules in phi and read out by one or two PMTs. The average current for all channels belonging to a cell is shown in this plot. The error bars represent the standard deviation of currents measured for a given cell.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch
Date: 5 Noviembre 2018
Current_vs_eta_PROF_instLumi_2018_20_348610.png
[eps][pdf]
Luminosity coefficient (PMT anode current over instantaneous luminosity) vs η measured by Minimum Bias system in proton-proton collision data collected during run 348610 of the 2018 data period. A range of 20 consecutive lumiblocks (time interval) has been used. The average of the corresponding instantaneous luminosity is 1.7 x 1033 cm-2 s-1. Each cell of the Tile Calorimeter covers a range in η. The cells are distributed over 64 modules in phi and read out by one or two PMTs. The average currents for all channels belonging to a cell have been used to calculate the luminosity coefficient by dividing by the corresponding average inst. luminosity. The error bars represent the standard deviation of currents/ average inst. luminosity measured for a given cell.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch
Date: 5 Noviembre 2018
Coeff_vs_eta_PROF_instLumi_2018_20_348610.png
[eps] [pdf]
PMT anode current vs η measured by Minimum Bias system in proton-proton collision data collected during run 348610 of the 2018 data period. A range of 20 consecutive lumiblocks (time interval) has been used. The average of the corresponding instantaneous luminosity is 1.7 x 1033 cm-2 s-1. Each cell of the Tile Calorimeter covers a range in η. The cells are distributed over 64 modules in phi and read out by one or two PMTs. The average current for all channels belonging to a cell is shown in this plot. The error bars represent the standard deviation of currents measured for a given cell. Different sets of gains are used in the cells in the gap/crack region (E-cells) to measure the higher currents. Compared to previous years, the currents for E3 and E4 cells (1.2<| η|<1.6) have changed given a decrease in operating HV used in the counters.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch
Date: 5 Noviembre 2018
Current_vs_eta_logPROF_instLumi_2018_20_348610.png
[eps][pdf]
Luminosity coefficient (PMT anode current over instantaneous luminosity) vs η measured by Minimum Bias system in proton-proton collision data collected during run 348610 of the 2018 data period. A range of 20 consecutive lumiblocks (time interval) has been used. The average of the corresponding instantaneous luminosity is 1.7 x 1033 cm-2 s-1. Each cell of the Tile Calorimeter covers a range in η. The cells are distributed over 64 modules in phi and read out by one or two PMTs. The average currents for all channels belonging to a cell have been used to calculate the luminosity coefficient by dividing by the corresponding average inst. luminosity. The error bars represent the standard deviation of currents/ average inst. luminosity measured for a given cell. Different sets of gains are used in the cells in the gap/ crack region (E-cells) to measure the higher currents. Compared to previous years, the coefficients for E3 and E4 cells (1.2<|η|<1.6) have changed given a decrease in operating HV used in the counters.
Contact: Arely Cortes Gonzalez arelycg@cernNOSPAMPLEASE.ch
Date: 5 Noviembre 2018
Coeff_vs_eta_logPROF_instLumi_2018_20_348610.png
[eps] [pdf]
The dependence of the PMT anode current on track-counting Luminosity for a few channels of the Tile Calorimeter in fill 6364. Due to the placement of the different cells each one receives a distinct amount of signal explaining the range of slopes in the fit. The intercept at zero luminosity has nonzero values due to a small non-linear contribution to the anode current from the PMT HV divider.
Contact: Sergio González Fernández sergio.gonzalez.fernandez@cernNOSPAMPLEASE.ch
Date: 1 July 2020
MixCells_ratio.png
[png] [pdf]
Fraction of the PMT anode current due to material activation for channel E3 EBA06 of the Tile Calorimeter extracted from a set of 2017 and 2018 LHC fills by measuring an increase in the PMT response (comparing the pedestal immediately before and immediately after the fill) normalised to the luminosity activity in the fill. Each fill has a different length and the fraction of signal from activation is plotted against the amount of time the fill was under collisions with error bars that represent the statistical errors. A fit using an activation function with a single time constant A (1-exp(-t/tau)) is shown and illustrates a short-term turn-on followed by a plateau that reflects the equilibrium between activation and decay.
Contact: Sergio González Fernández sergio.gonzalez.fernandez@cernNOSPAMPLEASE.ch
Date: 1 July 2020
ActivationExpoParticularMod5_Fit_AVG_perRun_E3_EBA.png
[png] [pdf]
Fraction of the PMT anode current due to material activation for channel E4 EBA06 of the Tile Calorimeter extracted from a set of 2017 and 2018 LHC fills by measuring an increase in the PMT response (comparing the pedestal immediately before and immediately after the fill) normalised to the luminosity activity in the fill. Each fill has a different length and the fraction of signal from activation is plotted against the amount of time the fill was under collisions with error bars that represent the statistical errors. A fit using an activation function with a single time constant A (1-exp(-t/tau)) is shown and illustrates a short-term turn-on followed by a plateau that reflects the equilibrium between activation and decay.
Contact: Sergio González Fernández sergio.gonzalez.fernandez@cernNOSPAMPLEASE.ch
Date: 1 July 2020
ActivationExpoParticularMod5_Fit_AVG_perRun_E4_EBA.png
[png] [pdf]
Fraction of the PMT anode current due to material activation for channel A12L EBA06 of the Tile Calorimeter extracted from a set of 2017 and 2018 LHC fills by measuring an increase in the PMT response (comparing the pedestal immediately before and immediately after the fill) normalised to the luminosity activity in the fill. Each fill has a different length and the fraction of signal from activation is plotted against the amount of time the fill was under collisions with error bars that represent the statistical errors. A fit using activation functions with two time constants A_1 (1-exp(-t/tau_1)) + A_2 (1-exp(-t/tau_2)) is shown and illustrates a short-term turn-on followed by a slower rise suggestive of the presence of an isotope with a longer half-life.
Contact: Sergio González Fernández sergio.gonzalez.fernandez@cernNOSPAMPLEASE.ch
Date: 1 July 2020
ActivationExpoDoublePrimeParticularMod5_Fit_AVG_perRun_A12L_EBA.png
[png] [pdf]
Fraction of the PMT anode current due to material activation in different channels of the Tile Calorimeter computed on a dataset of runs from 2017 and 2018 by measuring an increase in the PMT response (comparing the pedestal immediately before and immediately after the fill) normalised to the luminosity activity in the fill. Each fill has a different length and the fraction of signal from activation is plotted against the amount of time the fill was under collisions with error bars that represent the statistical errors. Fits using activation functions with a single time constant A (1-exp(-t/tau)) are shown and illustrate short-term turn-ons and the equilibrium plateaux. The activation build-ups reflect on the contribution to activation from different materials, depending on the cell positioning inside the ATLAS detector. In some cases (E3 and E4) a single exponential is sufficient to approximate the activation, while in other cases (A12L) two exponentials are required. The plateau for E3 is higher due to its larger active volume compared to the E4 cells.
Contact: Sergio González Fernández sergio.gonzalez.fernandez@cernNOSPAMPLEASE.ch
Date: 1 July 2020
SummaryPlot_5_5_5.png
[png] [pdf]
Fraction of the PMT anode current due to material activation for the E3 cell family of the Tile Calorimeter extracted from a set of 2017 and 2018 LHC fills by measuring an increase in the PMT response (comparing the pedestal immediately before and immediately after the fill) normalised to the luminosity activity in the fill and averaging the channels from EBA and EBC. Each fill has a different length and the fraction of signal from activation is plotted against the amount of time the fill was under collisions with error bars that represent the statistical errors. A fit using an activation function with a single time constant A (1-exp(-t/tau)) is shown and illustrates a short-term turn-on followed by a plateau that reflects the equilibrium between activation and decay.
Contact: Sergio González Fernández sergio.gonzalez.fernandez@cernNOSPAMPLEASE.ch
Date: 1 July 2020
ActivationExpoJoinAC_Fit_AVG_perRun_E3.png
[png] [pdf]
Fraction of the PMT anode current due to material activation for the E4 cell family of the Tile Calorimeter extracted from a set of 2017 and 2018 LHC fills by measuring an increase in the PMT response (comparing the pedestal immediately before and immediately after the fill) normalised to the luminosity activity in the fill and averaging the channels from EBA and EBC. Each fill has a different length and the fraction of signal from activation is plotted against the amount of time the fill was under collisions with error bars that represent the statistical errors. A fit using an activation function with a single time constant A (1-exp(-t/tau)) is shown and illustrates a short-term turn-on followed by a plateau that reflects the equilibrium between activation and decay.
Contact: Sergio González Fernández sergio.gonzalez.fernandez@cernNOSPAMPLEASE.ch
Date: 1 July 2020
ActivationExpoJoinAC_Fit_AVG_perRun_E4.png
[png] [pdf]
Fraction of the PMT anode current due to material activation for the A12L cell family of the Tile Calorimeter extracted from a set of 2017 and 2018 LHC fills by measuring an increase in the PMT response (comparing the pedestal immediately before and immediately after the fill) normalised to the luminosity activity in the fill and averaging the channels from EBA and EBC. Each fill has a different length and the fraction of signal from activation is plotted against the amount of time the fill was under collisions with error bars that represent the statistical errors. A fit using activation functions with two time constants $A_1 (1-exp(-t/tau_1)) + A_2 (1-exp(-t/tau_2)) is shown and illustrates a short-term turn-on followed by a slower rise suggestive of the presence of material with a longer half-life.
Contact: Sergio González Fernández sergio.gonzalez.fernandez@cernNOSPAMPLEASE.ch
Date: 1 July 2020
ActivationExpoJoinACDoublePrimeParticularMod_Fit_AVG_perRun_A12L.png
[png] [pdf]
Fraction of the PMT anode current due to material activation in different cell families of the Tile Calorimeter computed on a dataset of runs from 2017 and 2018 by measuring an increase in the PMT response (comparing the pedestal immediately before and immediately after the fill) normalised to the luminosity activity in the fill and averaging the channels from EBA and EBC. Each fill has a different length and the fraction of signal from activation is plotted against the amount of time the fill was under collisions with error bars that represent the statistical errors. Fits using activation functions with a single time constant A (1-exp(-t/tau)) are shown and illustrate short-term turn-ons and the equilibrium plateaux. The activation build-ups reflect on the contribution to activation from different materials, depending on the cell positioning inside the ATLAS detector. In some cases (E3 and E4) a single exponential is sufficient to approximate the activation, while in other cases (A12L) two exponentials are required. The plateau for E3 is higher due to its larger active volume compared to the E4 cells.
Contact: Sergio González Fernández sergio.gonzalez.fernandez@cernNOSPAMPLEASE.ch
Date: 1 July 2020
SummaryPlot_-2_-2_-2.png
[png] [pdf]
Ratios of the instantaneous luminosity measured by TILE E-cell scintillator families of EBA and EBC to that from track-counting in fill 6847 and closely following physics fills. The plots focus on different periods of time with changing beam properties such as the number of bunches or the luminosity scale which affect the agreement between TILE and track-counting measurements and can provide a measure of the uncertainty of the ATLAS calibration transfer procedure. Effects from activation decay can be seen in the negative slope for the low mu part of fill 6847 while signs of activation build up is visible in the positive slopes at the beginning of the three middle plots. The fill that corresponds to one of the head-on periods of the vdM run taken a few days later is also shown. Ratios using TILE E cells are averaged over 1-minute intervals and with the integrated ratio normalised to unity during fill 6850, in the range indicated by the green box.
Contact: Sergio González Fernández sergio.gonzalez.fernandez@cernNOSPAMPLEASE.ch
Date: 1 July 2020
CalibTransferPlot_JoinSides_includeVDM.png
[png] [pdf]
Ratios of the instantaneous luminosity measured by TILE E-cell scintillator families of EBA and EBC to that from track-counting in fill 6847 and closely following physics fills. The plots focus on different periods of time with changing beam properties such as the number of bunches or the luminosity scale which affect the agreement between TILE and track-counting measurements and can provide a measure of the uncertainty of the ATLAS calibration transfer procedure. Effects from activation decay can be seen in the negative slope for the low mu part of fill 6847 while signs of activation build up is visible in the positive slopes at the beginning of the three middle plots. The fill that corresponds to one of the head-on periods of the vdM run taken a few days later is also shown. Ratios using TILE E cells are averaged over 5-minute intervals and with the integrated ratio normalised to unity during fill 6850, in the range indicated by the green box.
Contact: Sergio González Fernández sergio.gonzalez.fernandez@cernNOSPAMPLEASE.ch
Date: 1 July 2020
CalibTransferPlot_JoinSides_avg5_includeVDM.png
[png] [pdf]
Ratios of the instantaneous luminosity measured by TILE E-cell scintillator families of EBA and EBC to that from track-counting in fill 6847 and closely following physics fills. The plots focus on different periods of time with changing beam properties such as the number of bunches or the luminosity scale which affect the agreement between TILE and track-counting measurements and can provide a measure of the uncertainty of the ATLAS calibration transfer procedure. Effects from activation decay can be seen in the negative slope for the low mu part of fill 6847 while signs of activation build up is visible in the positive slopes at the beginning of the three right plots. Ratios using TILE E cells are averaged over 1-minute intervals and with the integrated ratio normalised to unity during fill 6850, in the range indicated by the green box.
Contact: Sergio González Fernández sergio.gonzalez.fernandez@cernNOSPAMPLEASE.ch
Date: 1 July 2020
CalibTransferPlot_JoinSides.png
[png] [pdf]
Ratios of the instantaneous luminosity measured by TILE E-cell scintillator families of EBA and EBC to that from track-counting in fill 6847 and closely following physics fills. The plots focus on different periods of time with changing beam properties such as the number of bunches or the luminosity scale which affect the agreement between TILE and track-counting measurements and can provide a measure of the uncertainty of the ATLAS calibration transfer procedure. Effects from activation decay can be seen in the negative slope for the low mu part of fill 6847 while signs of activation build up is visible in the positive slopes at the beginning of the three right plots. Ratios using TILE E cells are averaged over 5-minute intervals and with the integrated ratio normalised to unity during fill 6850, in the range indicated by the green box.
Contact: Sergio González Fernández sergio.gonzalez.fernandez@cernNOSPAMPLEASE.ch
Date: 1 July 2020
CalibTransferPlot_JoinSides_avg5.png
[png] [pdf]
Deviation of the instantaneous luminosity measured by Tile D-cell scintillator families of EBA and EBC to that from track-counting during 2018. The luminosity measurements by Tile are normalised to track-counting in the fill indicated by the arrow. No significant deviation beyond half a percent is observed making the D-cell families the most stable since they are the most isolated cells in the Tile Calorimeter and are hence less affected by ageing. Laser corrections for the PMT ageing are included and the progressively more negative deviations are attributed to scintillator ageing.
Contact: Sergio González Fernández sergio.gonzalez.fernandez@cernNOSPAMPLEASE.ch
Date: 7 July 2020
Averaging_AC_date.png
[png] [pdf]
Deviation of the instantaneous luminosity measured by Tile D-cell scintillator families of EBA and EBC to that from track-counting against the integrated luminosity of 2018. The luminosity measurements by Tile are normalised to track-counting in the fill indicated by the arrow. No significant deviation beyond half a percent is observed making the D-cell families the most stable since they are the most isolated cells in the Tile Calorimeter and are hence less affected by ageing. Laser corrections for the PMT ageing are included and the progressively more negative deviations are attributed to scintillator ageing.
Contact: Sergio González Fernández sergio.gonzalez.fernandez@cernNOSPAMPLEASE.ch
Date: 7 July 2020
VsIntLumi.png
[png] [pdf]


Major updates:
-- PawelKlimek - 2016-08-17

Responsible: PawelKlimek
Subject: public

Topic attachments
I Attachment History Action Size Date Who Comment
C source code filec ActivationExpoDoublePrimeParticularMod5_Fit_AVG_perRun_A12L_EBA.C r1 manage 12.0 K 2020-07-01 - 12:18 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
Unknown file formateps ActivationExpoDoublePrimeParticularMod5_Fit_AVG_perRun_A12L_EBA.eps r1 manage 23.3 K 2020-07-01 - 12:18 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PDFpdf ActivationExpoDoublePrimeParticularMod5_Fit_AVG_perRun_A12L_EBA.pdf r1 manage 19.1 K 2020-07-01 - 12:18 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PNGpng ActivationExpoDoublePrimeParticularMod5_Fit_AVG_perRun_A12L_EBA.png r1 manage 34.9 K 2020-07-01 - 12:18 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
Unknown file formatroot ActivationExpoDoublePrimeParticularMod5_Fit_AVG_perRun_A12L_EBA.root r1 manage 12.8 K 2020-07-01 - 12:18 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
C source code filec ActivationExpoJoinACDoublePrimeParticularMod_Fit_AVG_perRun_A12L.C r1 manage 12.2 K 2020-07-01 - 12:18 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PDFpdf ActivationExpoJoinACDoublePrimeParticularMod_Fit_AVG_perRun_A12L.pdf r1 manage 18.6 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PNGpng ActivationExpoJoinACDoublePrimeParticularMod_Fit_AVG_perRun_A12L.png r1 manage 34.6 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
Unknown file formatroot ActivationExpoJoinACDoublePrimeParticularMod_Fit_AVG_perRun_A12L.root r1 manage 12.9 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PNGpng ActivationExpoJoinACDoublePrimeParticularMod_Fit_AVG_perRun_E3.png r1 manage 32.5 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PNGpng ActivationExpoJoinACDoublePrimeParticularMod_Fit_AVG_perRun_E4.png r1 manage 32.0 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
C source code filec ActivationExpoJoinAC_Fit_AVG_perRun_E3.C r1 manage 11.5 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PDFpdf ActivationExpoJoinAC_Fit_AVG_perRun_E3.pdf r1 manage 18.5 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PNGpng ActivationExpoJoinAC_Fit_AVG_perRun_E3.png r1 manage 31.2 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
Unknown file formatroot ActivationExpoJoinAC_Fit_AVG_perRun_E3.root r1 manage 12.6 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
C source code filec ActivationExpoJoinAC_Fit_AVG_perRun_E4.C r1 manage 11.5 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PDFpdf ActivationExpoJoinAC_Fit_AVG_perRun_E4.pdf r1 manage 18.6 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PNGpng ActivationExpoJoinAC_Fit_AVG_perRun_E4.png r1 manage 31.7 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
Unknown file formatroot ActivationExpoJoinAC_Fit_AVG_perRun_E4.root r1 manage 12.6 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
C source code filec ActivationExpoParticularMod5_Fit_AVG_perRun_E3_EBA.C r1 manage 11.3 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PDFpdf ActivationExpoParticularMod5_Fit_AVG_perRun_E3_EBA.pdf r1 manage 18.3 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PNGpng ActivationExpoParticularMod5_Fit_AVG_perRun_E3_EBA.png r1 manage 31.8 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
Unknown file formatroot ActivationExpoParticularMod5_Fit_AVG_perRun_E3_EBA.root r1 manage 12.6 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
C source code filec ActivationExpoParticularMod5_Fit_AVG_perRun_E4_EBA.C r1 manage 11.3 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PDFpdf ActivationExpoParticularMod5_Fit_AVG_perRun_E4_EBA.pdf r1 manage 18.6 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PNGpng ActivationExpoParticularMod5_Fit_AVG_perRun_E4_EBA.png r1 manage 31.8 K 2020-07-01 - 12:17 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
Unknown file formatroot ActivationExpoParticularMod5_Fit_AVG_perRun_E4_EBA.root r1 manage 12.6 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PDFpdf Averaging_AC_date.pdf r1 manage 46.8 K 2020-07-07 - 14:23 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878047/)
PNGpng Averaging_AC_date.png r1 manage 37.9 K 2020-07-07 - 14:23 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878047/)
C source code filec CalibTransferPlot_JoinSides.C r1 manage 35.3 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PDFpdf CalibTransferPlot_JoinSides.pdf r1 manage 31.2 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PNGpng CalibTransferPlot_JoinSides.png r1 manage 52.8 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
Unknown file formatroot CalibTransferPlot_JoinSides.root r1 manage 17.8 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
C source code filec CalibTransferPlot_JoinSides_avg5.C r1 manage 26.7 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PDFpdf CalibTransferPlot_JoinSides_avg5.pdf r1 manage 22.6 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PNGpng CalibTransferPlot_JoinSides_avg5.png r1 manage 40.2 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
Unknown file formatroot CalibTransferPlot_JoinSides_avg5.root r1 manage 14.0 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
C source code filec CalibTransferPlot_JoinSides_avg5_includeVDM.C r1 manage 36.7 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PDFpdf CalibTransferPlot_JoinSides_avg5_includeVDM.pdf r1 manage 29.4 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PNGpng CalibTransferPlot_JoinSides_avg5_includeVDM.png r1 manage 52.7 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
Unknown file formatroot CalibTransferPlot_JoinSides_avg5_includeVDM.root r1 manage 16.7 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
C source code filec CalibTransferPlot_JoinSides_includeVDM.C r1 manage 66.2 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PDFpdf CalibTransferPlot_JoinSides_includeVDM.pdf r1 manage 58.3 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PNGpng CalibTransferPlot_JoinSides_includeVDM.png r1 manage 84.9 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
Unknown file formatroot CalibTransferPlot_JoinSides_includeVDM.root r1 manage 29.3 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
Unknown file formateps Coeff_vs_eta_PROF_instLumi_2012_30_207046.eps r1 manage 15.1 K 2016-08-17 - 19:55 PawelKlimek  
PNGpng Coeff_vs_eta_PROF_instLumi_2012_30_207046.png r1 manage 109.4 K 2016-08-17 - 19:55 PawelKlimek  
Unknown file formateps Coeff_vs_eta_PROF_instLumi_2015_30_276262.eps r1 manage 14.9 K 2016-08-17 - 19:55 PawelKlimek  
PNGpng Coeff_vs_eta_PROF_instLumi_2015_30_276262.png r1 manage 108.5 K 2016-08-17 - 19:55 PawelKlimek  
Unknown file formateps Coeff_vs_eta_PROF_instLumi_2016_30_298633.eps r1 manage 14.7 K 2016-08-17 - 19:55 PawelKlimek  
PNGpng Coeff_vs_eta_PROF_instLumi_2016_30_298633.png r1 manage 198.3 K 2016-08-17 - 19:55 PawelKlimek  
Unknown file formateps Coeff_vs_eta_PROF_instLumi_2017_20_325713.eps r1 manage 14.8 K 2018-05-14 - 17:35 ArelyCG Coeff_vs_eta_PROF_instLumi_2017_20_325713
PDFpdf Coeff_vs_eta_PROF_instLumi_2017_20_325713.pdf r1 manage 15.3 K 2018-05-14 - 17:35 ArelyCG Coeff_vs_eta_PROF_instLumi_2017_20_325713
PNGpng Coeff_vs_eta_PROF_instLumi_2017_20_325713.png r1 manage 461.7 K 2018-05-14 - 17:35 ArelyCG Coeff_vs_eta_PROF_instLumi_2017_20_325713
Unknown file formateps Coeff_vs_eta_PROF_instLumi_2018_20_348610.eps r1 manage 14.7 K 2018-11-05 - 14:30 ArelyCG MinBias Currents and Lumi Coefficients 2018 [EPS]
PDFpdf Coeff_vs_eta_PROF_instLumi_2018_20_348610.pdf r1 manage 64.7 K 2018-11-05 - 14:31 ArelyCG MinBias Currents and Lumi Coefficients 2018 [PDF,PNG]
PNGpng Coeff_vs_eta_PROF_instLumi_2018_20_348610.png r1 manage 467.7 K 2018-11-05 - 14:31 ArelyCG MinBias Currents and Lumi Coefficients 2018 [PDF,PNG]
Unknown file formateps Coeff_vs_eta_logPROF_instLumi_2015_30_276262.eps r1 manage 16.6 K 2016-08-17 - 19:55 PawelKlimek  
PNGpng Coeff_vs_eta_logPROF_instLumi_2015_30_276262.png r1 manage 110.9 K 2016-08-17 - 19:55 PawelKlimek  
Unknown file formateps Coeff_vs_eta_logPROF_instLumi_2016_30_298633.eps r1 manage 16.4 K 2016-08-17 - 19:55 PawelKlimek  
PNGpng Coeff_vs_eta_logPROF_instLumi_2016_30_298633.png r1 manage 199.9 K 2016-08-17 - 19:55 PawelKlimek  
Unknown file formateps Coeff_vs_eta_logPROF_instLumi_2017_20_325713.eps r1 manage 16.3 K 2018-05-14 - 17:35 ArelyCG Coeff_vs_eta_logPROF_instLumi_2017_20_325713
PDFpdf Coeff_vs_eta_logPROF_instLumi_2017_20_325713.pdf r1 manage 15.6 K 2018-05-14 - 17:35 ArelyCG Coeff_vs_eta_logPROF_instLumi_2017_20_325713
PNGpng Coeff_vs_eta_logPROF_instLumi_2017_20_325713.png r1 manage 464.2 K 2018-05-14 - 17:35 ArelyCG Coeff_vs_eta_logPROF_instLumi_2017_20_325713
Unknown file formateps Coeff_vs_eta_logPROF_instLumi_2018_20_348610.eps r1 manage 16.0 K 2018-11-05 - 14:30 ArelyCG MinBias Currents and Lumi Coefficients 2018 [EPS]
PDFpdf Coeff_vs_eta_logPROF_instLumi_2018_20_348610.pdf r1 manage 66.5 K 2018-11-05 - 14:31 ArelyCG MinBias Currents and Lumi Coefficients 2018 [PDF,PNG]
PNGpng Coeff_vs_eta_logPROF_instLumi_2018_20_348610.png r1 manage 464.2 K 2018-11-05 - 14:31 ArelyCG MinBias Currents and Lumi Coefficients 2018 [PDF,PNG]
Unknown file formateps CurrentVsCell.eps r1 manage 13.6 K 2016-08-17 - 19:56 PawelKlimek  
PNGpng CurrentVsCell.png r1 manage 20.4 K 2016-08-17 - 19:56 PawelKlimek  
Unknown file formateps CurrentVsLumi_MBias_EBC_m22_c17_2015.eps r1 manage 14.4 K 2016-08-17 - 19:56 PawelKlimek  
PNGpng CurrentVsLumi_MBias_EBC_m22_c17_2015.png r1 manage 119.5 K 2016-08-17 - 19:56 PawelKlimek  
Unknown file formateps CurrentVsLumi_MBias_EBC_m22_c17_ratioPlot_2015.eps r1 manage 17.0 K 2016-08-17 - 19:56 PawelKlimek  
PNGpng CurrentVsLumi_MBias_EBC_m22_c17_ratioPlot_2015.png r1 manage 126.7 K 2016-08-17 - 19:56 PawelKlimek  
Unknown file formateps CurrentVsLuminosity.eps r1 manage 20.6 K 2016-08-17 - 19:56 PawelKlimek  
PNGpng CurrentVsLuminosity.png r1 manage 24.0 K 2016-08-17 - 19:56 PawelKlimek  
Unknown file formateps Current_vs_eta_PROF_instLumi_2012_30_207046.eps r1 manage 14.9 K 2016-08-17 - 19:56 PawelKlimek  
PNGpng Current_vs_eta_PROF_instLumi_2012_30_207046.png r1 manage 102.3 K 2016-08-17 - 19:56 PawelKlimek  
Unknown file formateps Current_vs_eta_PROF_instLumi_2015_30_276262.eps r1 manage 14.6 K 2016-08-17 - 19:56 PawelKlimek  
PNGpng Current_vs_eta_PROF_instLumi_2015_30_276262.png r1 manage 97.1 K 2016-08-17 - 19:56 PawelKlimek  
Unknown file formateps Current_vs_eta_PROF_instLumi_2016_30_298633.eps r1 manage 14.5 K 2016-08-17 - 19:56 PawelKlimek  
PNGpng Current_vs_eta_PROF_instLumi_2016_30_298633.png r1 manage 179.3 K 2016-08-17 - 19:56 PawelKlimek  
Unknown file formateps Current_vs_eta_PROF_instLumi_2017_20_325713.eps r1 manage 15.3 K 2018-05-14 - 17:36 ArelyCG Current_vs_eta_PROF_instLumi_2017_20_325713
PDFpdf Current_vs_eta_PROF_instLumi_2017_20_325713.pdf r1 manage 15.4 K 2018-05-14 - 17:36 ArelyCG Current_vs_eta_PROF_instLumi_2017_20_325713
PNGpng Current_vs_eta_PROF_instLumi_2017_20_325713.png r1 manage 453.7 K 2018-05-14 - 17:36 ArelyCG Current_vs_eta_PROF_instLumi_2017_20_325713
Unknown file formateps Current_vs_eta_PROF_instLumi_2018_20_348610.eps r1 manage 14.3 K 2018-11-05 - 14:30 ArelyCG MinBias Currents and Lumi Coefficients 2018 [EPS]
PDFpdf Current_vs_eta_PROF_instLumi_2018_20_348610.pdf r1 manage 64.5 K 2018-11-05 - 14:31 ArelyCG MinBias Currents and Lumi Coefficients 2018 [PDF,PNG]
PNGpng Current_vs_eta_PROF_instLumi_2018_20_348610.png r1 manage 430.1 K 2018-11-05 - 14:31 ArelyCG MinBias Currents and Lumi Coefficients 2018 [PDF,PNG]
Unknown file formateps Current_vs_eta_logPROF_instLumi_2015_30_276262.eps r1 manage 16.2 K 2016-08-17 - 19:56 PawelKlimek  
PNGpng Current_vs_eta_logPROF_instLumi_2015_30_276262.png r1 manage 100.9 K 2016-08-17 - 19:56 PawelKlimek  
Unknown file formateps Current_vs_eta_logPROF_instLumi_2016_30_298633.eps r1 manage 16.5 K 2016-08-17 - 19:56 PawelKlimek  
PNGpng Current_vs_eta_logPROF_instLumi_2016_30_298633.png r1 manage 187.2 K 2016-08-17 - 19:56 PawelKlimek  
Unknown file formateps Current_vs_eta_logPROF_instLumi_2017_20_325713.eps r1 manage 15.8 K 2018-05-14 - 17:35 ArelyCG Current_vs_eta_logPROF_instLumi_2017_20_325713
PDFpdf Current_vs_eta_logPROF_instLumi_2017_20_325713.pdf r1 manage 15.7 K 2018-05-14 - 17:35 ArelyCG Current_vs_eta_logPROF_instLumi_2017_20_325713
PNGpng Current_vs_eta_logPROF_instLumi_2017_20_325713.png r1 manage 436.0 K 2018-05-14 - 17:35 ArelyCG Current_vs_eta_logPROF_instLumi_2017_20_325713
Unknown file formateps Current_vs_eta_logPROF_instLumi_2018_20_348610.eps r1 manage 15.5 K 2018-11-05 - 14:30 ArelyCG MinBias Currents and Lumi Coefficients 2018 [EPS]
PDFpdf Current_vs_eta_logPROF_instLumi_2018_20_348610.pdf r1 manage 66.2 K 2018-11-05 - 14:31 ArelyCG MinBias Currents and Lumi Coefficients 2018 [PDF,PNG]
PNGpng Current_vs_eta_logPROF_instLumi_2018_20_348610.png r1 manage 429.8 K 2018-11-05 - 14:31 ArelyCG MinBias Currents and Lumi Coefficients 2018 [PDF,PNG]
PNGpng FinalUniformity-3.png r1 manage 17.3 K 2016-08-17 - 19:56 PawelKlimek  
C source code filec MixCells_ratio.C r1 manage 76.9 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
Unknown file formateps MixCells_ratio.eps r1 manage 65.8 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PDFpdf MixCells_ratio.pdf r1 manage 36.1 K 2020-07-01 - 12:16 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PNGpng MixCells_ratio.png r1 manage 41.4 K 2020-07-01 - 12:15 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
Unknown file formatroot MixCells_ratio.root r1 manage 16.8 K 2020-07-01 - 12:15 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
C source code filec SummaryPlot_-2_-2_-2.C r1 manage 30.7 K 2020-07-01 - 12:15 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PDFpdf SummaryPlot_-2_-2_-2.pdf r1 manage 24.4 K 2020-07-01 - 12:15 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PNGpng SummaryPlot_-2_-2_-2.png r1 manage 49.9 K 2020-07-01 - 12:15 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
Unknown file formatroot SummaryPlot_-2_-2_-2.root r1 manage 16.1 K 2020-07-01 - 12:15 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
C source code filec SummaryPlot_5_5_5.C r1 manage 28.6 K 2020-07-01 - 12:15 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PDFpdf SummaryPlot_5_5_5.pdf r1 manage 25.9 K 2020-07-01 - 12:15 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PNGpng SummaryPlot_5_5_5.png r1 manage 51.6 K 2020-07-01 - 12:15 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
Unknown file formatroot SummaryPlot_5_5_5.root r1 manage 15.8 K 2020-07-01 - 12:15 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878046/)
PDFpdf VsIntLumi.pdf r1 manage 49.1 K 2020-07-07 - 14:23 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878047/)
PNGpng VsIntLumi.png r1 manage 40.9 K 2020-07-07 - 14:23 SergioGonzalezFernandez Set of plots on various Tile studies (https://indico.cern.ch/event/878047/)
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