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Public Liquid-Argon Calorimeter Plots on Upgrade

Introduction

The LAr Upgrade simulation plots below are approved to be shown by ATLAS speakers at conferences and similar events.

Please do not add figures on your own. Contact the LAr project leader in case of questions and/or suggestions.

Phase I Upgrade Plots

The plots from the LAr Phase I Upgrade TDR can be found here.

Demonstrator for the ATLAS LAr calorimeter Phase I Trigger Readout Upgrade

Two LAr Phase I trigger upgrade demonstrator boards (2 Demonstrator LTDBs, LAr Trigger Digitizer Boards) were installed in-situ on the LAr detector in July 2014 (coverage: 9π/16 < φ < 11π/16, 0 < η < 1.4). To receive the digital super-cell energies ABBA boards (LDPB pre-prototype) were installed in USA15. One ABBA board receives data from one LTDB 320 super cells. Super-cell data has been recorded for a large number of time slices with this pre-prototype backend electronics.

Data from 2017 runs and event displays

  • The plots show data from pp collisions, physics run 328099, recorded between June 27 and June 28, 2017.
  • Events were triggered by dedicated triggers requiring either a Level 1 electromagnetic cluster (EM) with ET > 20 GeV or a Level 1 Jet with ET > 100 GeV within the demonstrator acceptance (for EM(Jet) 1.6 < φ < 2.2(2.3), 0 < η < 1.5). Those triggers were prescaled to have a combined event rate of approximately 1 Hz.
  • Events from the LAr demonstrator are matched to events collected in the main read-out using their bunch-crossing ID and brunch-crossing time. An alternative method is the matching according to the L1 ID of the events.

Correlation of energy measurements for each layer: The measured supercell (SC) energies of the LAr Phase I demonstrator are compared to summed LAr cell energies in ATLAS for ESC > 1 GeV. The supercells in the presampler, front, middle and back layer consist of 4, 8, 4 and 8 LAr cells, respectively. Good agreement is observed between the two read-outs.

scatter_presampler.png
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scatter_front.png
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scatter_middle.png
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scatter_back.png
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Difference of energy measurements for each layer: The measured supercell (SC) energies of the LAr Phase I demonstrator are compared to summed LAr cell energies in ATLAS by calculating the difference (ESC − ΣSC Ecells) for ESC > 2 GeV. The supercells in the presampler, front, middle and back layer consist of 4, 8, 4 and 8 LAr cells, respectively. Good agreement is observed between the two read-outs. The width of the distribution is compatible with the expected noise level. The shift of the means is due to the preliminary calibration of the supercells.

difference_presampler.png
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difference_front.png
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difference_middle.png
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difference_back.png
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Event display of the partial demonstrator region: Supercell energies of the LAr Phase I demonstrator and summed LAr cell energies in ATLAS are given for the same shower. The event with ID 1912797011 was observed in the pp physics run 328099, obtained between June 27 and June 28, 2017. The geometrical coverage of the demonstrator system is partially shown. The volume of the depicted boxes is proportional to the deposited energy. Only energy deposits above 1% of EmaxSC are plotted.

Event_0_Demonstrator_Partial.png
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Event_0_Main_Partial.png
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Event display of the demonstrator region: Supercell energies of the LAr Phase I demonstrator and summed LAr cell energies in ATLAS are given for the same shower. The event with ID 2214598379 was observed in the pp physics run 328099, obtained between June 27 and June 28, 2017. The full geometrical coverage of the demonstrator system is shown. The volume of the depicted boxes is proportional to the deposited energy. Only energy deposits above 1% of EmaxSC are plotted.

Event_0_Demonstrator_Full.png
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Event_0_Main_Full.png
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Event_1_Demonstrator.png
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Event_1_Main.png
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Event_2_Demonstrator.png
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Event_2_Main.png
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Event_3_Demonstrator.png
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Event_3_Main.png
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Noise and calibration pulse shapes

Noise values and calibration pulses with several amplitudes are shown in the following. Plots show ADC counts (12 bits ADC) as well as their equivalent transverse energies for the different sections of the calorimeter.

Super-cell pulse shapes for each layer: Responses of four super cells (one from each layer) from the LAr Phase I demonstrator installed in ATLAS to injected calibration pulses (DAC = 1000 counts to each LAr cell), the equivalent energy for DAC = 1000 is shown in subsequent plots. The super cell outputs are the sums of 4, 8, 4 and 8 LAr cells for Presampler, Front, Middle and Back layer, respectively. Size and shape of pulses are as expected and vary due to different detector and electronics properties.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig1.png
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Pulse maximum in ADC counts for each layer: Rapidity dependence of the pulse maximum in ADC counts (pedestal subtracted) for the super cells from the LAr Phase I demonstrator in ATLAS for injected calibration pulses (DAC = 1000 counts to each LAr cell), the equivalent energy for DAC = 1000 is shown in subsequent plots. The super cell outputs are the sums of 4, 8, 4 and 8 LAr cells for Presampler, Front, Middle and Back layer, respectively. The variations in response, especially in the back layer and at η = 0.8, are due to the change in electrode segmentation, calibration and readout electronics.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig2.png
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Equivalent transverse energy for each layer: Rapidity dependence of the equivalent transverse energy for an injected calibration pulse of DAC = 1000 counts into each LAr cell. The super cell outputs are the sums of 4, 8, 4 and 8 LAr cells for Presampler, Front, Middle and Back layer, respectively. The jump seen at η = 0.8 reflects the change of absorber thickness, electrodes and calibration resistors.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig3.png
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Noise level of super cells in ADC counts: Rapidity dependence of the noise (RMS) in ADC counts for the super cells from the LAr Phase I demonstrator in ATLAS. The super cell outputs are the sums of 4, 8, 4 and 8 LAr cells for Presampler, Front, Middle and Back layer, respectively. The jump seen at η = 0.8 reflects the change of electrodes’ segmentation at that position. The noise level is well below 1 ADC count and consistent with test bench measurements.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig4.png
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Noise level of super cells in transverse energy: Rapidity dependence of the noise (RMS) in transverse energy for the super cells from the LAr Phase I demonstrator in ATLAS. The super cell outputs are the sums of 4, 8, 4 and 8 LAr cells for Presampler, Front, Middle and Back layer, respectively. The jump seen at η = 0.8 reflects the change of absorber thickness, electrodes and calibration resistors. The noise level is as expected between 100 and 250 MeV per super cell.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig5.png
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Pulse shapes of a front layer super cell: Pulse shapes of a super cell from the LAr Phase I demonstrator installed in ATLAS for injected calibration pulses with different amplitudes (DAC = 2000, 4000, 6000, 8000, 10000 counts), the equivalent energy for these DAC values is shown in subsequent plots. The super cell outputs are the sums of 8 LAr front layer cells. Size and shape of pulses are as expected and show good linearity up to DAC = 8000, while beyond, analog saturation occurs upstream of the demonstrator board.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig6.png
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Pulse maximum versus DAC value: Pulse maximum (in ADC counts) for four different super cells from the LAr Phase I demonstrator installed in ATLAS for injected calibration pulses with different amplitudes (DAC = 2000, 4000, 6000, 8000, 10000 counts), the equivalent energies for these DAC values are shown in subsequent plots. The super-cell outputs are the sums of 8 (4) LAr front (middle) layer cells. Good linearity up to DAC = 8000 (DAC = 6000) for the front (middle) layer is observed, while beyond, analog saturation occurs upstream of the demonstrator board.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig7.png
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Pulse maximum versus transverse energy: Pulse maximum (in ADC counts) for four different super cells from the LAr Phase I demonstrator installed in ATLAS for injected calibration pulses with different amplitudes (DAC = 2000, 4000, 6000, 8000, 10000 counts), plotted in units of equivalent transverse energy. The super-cell outputs are the sums of 8 (4) LAr front (middle) layer cells. Analog saturation upstream of the demonstrator board occurs at different transverse energy values depending on the calorimeter layer and rapidity.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig8.png
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Total noise on the trigger readout path of the demonstrator test set-up: Here the RMS on the trigger readout path in MeV is shown. It was measured in a setup which is equivalent to a crate in ATLAS, with a half-full Front End Crate (FEC) equipped with Front End Boards (FEBs). Trigger towers 1-14 correspond to an eta-region of 0 to 1.4. Trigger towers 16-29 are the same in eta, but adjacent in phi. The values represented by the full circles were measured by a spectrum analyzer, the values shown in open circles were measured with Flash ADCs. For the computation a pedestal run with 5000 events and 8 samples was used.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/FADC_noise_poster.png
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Fraction of total noise which is coherent for Phase I demonstrator measured in ATLAS: Here the total noise which is coherent is shown as fraction of the total noise per readout channel (Coherent Noise Fraction = CNF) The CNF for feedthroughs (FT) 7-12 on the detector has been computed, of which FT 9 and 10 belong to the demonstrator crate I06, FT 7 and 8 to I05 and FT 11 and 12 to I07. For the computation a pedestal run with 40000 events and 32 samples was used. The board in the first slot reads out the presampler, the boards in the following seven slots read out the front layer, the next two boards the back layer and the last four boards the middle layer of the calorimeter. The last entry is the CNF of the whole halfcrate. The coherent noise fraction rho was calculated using the formula in this link.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/cnf_poster.png
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LAr Trigger Digitizer Board (LTDB) demonstrator noise measured on the demonstrator installed in ATLAS: Here, the RMS of the 12-bit ADC of the 320 channels of the LTDB demonstrator measured in USA15 is shown. For the computation a pedestal run with 16384 events was used. One ADC count corresponds to roughly 125 MeV..

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/LTDB_noise.png
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LAr Trigger Digitizer Board (LTDB) demonstrator pedestal measured on the demonstrator installed in ATLAS: Here, the pedestal values of the 12-bit ADC of the 320 channels of the LTDB demonstrator measured in USA15 are shown. For the computation a pedestal run with 16384 events was used.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/LTDB_pedestal.png
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Total noise on main readout of calorimeter cells of demonstrator crate I06 (ATLAS): In this plot, the RMS of the 128 channels of the Front End Boards (FEBs) of the demonstrator crate installed in ATLAS is shown. The FEBs read out the calorimeter cells. There are 28 such boards in one Front End Crate (FEC). The FEBs read out signals from different layers of the calorimeter. The noise levels of the boards vary because different capacitances and gains are applied to their respective cells. For the computation of the RMS a pedestal run with 3000 events and 32 samples was used. The noise level is not higher compared to the neighboring crates on the detector (e.g. see plots for crate I05).

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/totalnoise_demonstrator.png
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Total noise on main readout of calorimeter cells of crate I05 (ATLAS): In this plot, the RMS of all channels of the FEBs of one of the neighbour crates (I05) of the demonstrator crate I06 in ATLAS is shown. For the computation of the noise a pedestal run with 3000 events and 32 samples was used.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/total_noise_I05.png
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Phase II Upgrade Plots

Estimated quantization noise as function of energy in the front layer of the LAr EM barrel calorimeter, with the two gain system proposed for the Phase-II LAr Calorimeter readout (low gain curve in red, high gain curve in blue). The quantization noise curves assume the use of a 12-bit successive approximation register (SAR) with a dynamic range enhancer (DRE) to obtain a 14-bit ADC with 12-bit precision. Gain switching occurs close to the highest energy digitized in the high gain.

intr_electr_res_fl_prel.png
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Estimated quantization noise as function of energy in the LAr EM middle layer in the endcap outer wheel, with the two gain system proposed for the Phase-II LAr Calorimeter readout (low gain curve in red, high gain curve in blue). The quantization noise curves assume the use of a 12-bit successive approximation register (SAR) with a dynamic range enhancer (DRE) to obtain a 14-bit ADC with 12-bit precision. Gain switching occurs close to the highest energy digitized in the high gain.

intr_electr_res_ml_prel.png
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Bipolar shapers can have different numbers of integration stages, as well as various peaking times, which both affect the total noise (electronics plus pileup) on the analog pulse of the Phase-II LAr Calorimeter readout. The figure shows the total noise as a function of the level of pileup, μ, for a cell from the EM middle layer at η = 0.5, obtained after optimal filtering, for different number of integration stages in the shaper. The optimal filtering coefficients (OFC) are computed for each case separately. No significant differences in the noise level can be seen in the EM case. These results do not include a detailed simulation of the electronics circuit, which could affect the results.

shaper.png
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Bipolar shapers can have different numbers of integration stages, as well as various peaking times, which both affect the total noise (electronics plus pileup) on the analog pulse of the Phase-II LAr Calorimeter readout. The figure shows the total noise as a function of the level of pileup, μ, for a HEC cell in the first layer at η = 2.35, obtained after optimal filtering, for different number of integration stages in the shaper. The optimal filtering coefficients (OFC) are computed for each case separately. For the HEC, a CR-(RC)3 shaper improves the noise by 5% over a CR-(RC)2. These results do not include a detailed simulation of the electronics circuit, which could affect the results.

Total_Noise.png
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NIEL Simulations for HEC Cold Electronics in Phase II

Si NIEL fluence in ATLAS under HL-LHC conditions after 3000 fb-1 and with an applied safety factor of 2 to account for simulation uncertainties. The color coded fluences in the ASICs are shown at the r-z locations of the corresponding readout regions of the HEC.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/HL-LHC-NIEL-PSB-Region-FLUKA-RBTF2013-2x3000ifb.jpg
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Si NIEL fluence in ATLAS under HL-LHC conditions after 3000 fb-1 and with an applied safety factor of 2 to account for simulation uncertainties. The color coded fluences in the ASICs are shown at the r-z locations of the corresponding readout regions of the HEC.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/HL-LHC-NIEL-PSB-Region-FLUKA-RBTF2013-2x3000ifb.jpg
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Simulated Noise

Simulated noise in the Liquid Argon and Tile calorimeters at the electron scale (bunch spacing $\Delta$t=25ns): Quadratic sum of simulated electronics and pile-up noise per calorimeter cell for each calorimeter layer as function of pseudo-rapidity. The pile-up simulation is done by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non diff ractive and di ffractive events. The overlay takes into account the full sensitive time of the detector (~500ns for the LAr) and the bunch train structure. For proton-proton collisions at √s = 14TeV and a bunch spacing of $\Delta$t=25ns. The luminosity and corresponding average overlaying interactions per bunch crossing <µ> (pile-up events) are specified below (and inside) each figure. The standard ATLAS electronics are assumed in the simulation. A comparison of data and MC for <µ> = 0 and  <µ> = 14 can be seen at the corresponding links for the LAr and for the Tile calorimeter.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-30-25.png
Total noise for L=1.09x1034 corresponding to <µ>=30
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https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-40-25.png
Total noise for L=1.45x1034 corresponding to <µ>=40
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https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-60-25.png
Total noise for L=2.17x1034 corresponding to <µ>=60
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https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-80-25.png
Total noise for L=2.90x1034 corresponding to <µ>=80
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https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-100-25.png
Total noise for L=3.62x1034 corresponding to <µ>=100
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https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-140-25.png
Total noise for L=5.07x1034 corresponding to <µ>=140
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https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-200-25.png
Total noise for L=7.25x1034 corresponding to <µ>=200
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Simulated noise in the Liquid Argon and Tile calorimeters at the electron scale (bunch spacing $\Delta$t=50ns): Quadratic sum of simulated electronics and pile-up noise per calorimeter cell for each calorimeter layer as function of pseudo-rapidity. The pile-up simulation is done by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non diff ractive and di ffractive events. The overlay takes into account the full sensitive time of the detector (~500ns for the LAr) and the bunch train structure. For proton-proton collisions at √s = 14TeV and a bunch spacing of $\Delta$t=50ns. The luminosity and corresponding average overlaying interactions per bunch crossing <µ> (pile-up events) are specified below (and inside) each figure. The standard ATLAS electronics are assumed in the simulation. A comparison of data and MC for <µ> = 0 and  <µ> = 14 can be seen at the corresponding links for the LAr and for the Tile calorimeter.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-30-50.png
Total noise for L=0.54x1034 corresponding to <µ>=30
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https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-40-50.png
Total noise for L=0.73x1034 corresponding to <µ>=40
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https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-60-50.png
Total noise for L=1.09x1034 corresponding to <µ>=60
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https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-80-50.png
Total noise for L=1.45x1034 corresponding to <µ>=80
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https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-100-50.png
Total noise for L=1.81x1034 corresponding to <µ>=100
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https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-140-50.png
Total noise for L=2.54x1034 corresponding to <µ>=140
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https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-200-50.png
Total noise for L=3.62x1034 corresponding to <µ>=200
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High Granularity FCal Performance Studies

The below results are based on simulated VBF 2.6 TeV Higgs boson production and di-jet production at 14 TeV with μ=190-200 assuming the current ATLAS FCal, a high-granularity sFCal and the FCal with reduced acceptance

Total Noise Ratio: Noise ratio per calorimeter cell as a function of |η| for all layers for a high- granularity sFCal over FCal at a centre-of-mass energy of 14 TeV and for a mean number of pile-up event of μ=200. Small deviations from 1 in the inner-most (s)FCal1 and full (s)FCal2/3 layers are due to the 6% denser sFCal1 compared to FCal1 which causes inelastic pp collisions to deposit more energy in the first module. In the outer region of sFCal1 the noise is 0.4 times the FCal1 noise. The ratio 1.1/0.4 = 2.75 of ratios for inner over outer cells is non-trivial and indicates that an sFCal with finer granularity improves the separation of hard-scatter signal from pile-up. The granularity ratio is 4. Therefore a double ratio of 4 would mean no improvement at all since all small cells would be fully correlated. A double ratio of 2 would be the maximal possible improvement in case all small cells are uncorrelated. 2.75 lies between these extremes, and since it is smaller than 4 means that the increase in granularity helps to suppress pile-up.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_ratio_sFCal_SmallGaps_over_FCal_mu200-new_prelim.png
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Number of Jet Constituents: Distribution of the number of constituents (clusters) for quark jets produced in the vector-boson fusion process 𝑝𝑝 → 𝐻 𝑞𝑞 → 𝑙𝑣 𝑙+𝑣 𝑞𝑞 at 14 TeV centre-of-mass energy simulated for the current ATLAS FCal, a high-granularity sFCal, and three scenarios with reduced FCal acceptance. The increase in granularity and better separation of signal from pile-up leads to larger number of constituents in the sFCal compared to FCal. The vector-boson fusion events were simulated with the Powheg and Pythia8 Monte Carlo generators in narrow-width approximation for a hypothetic Higgs boson mass of 2.6 TeV and an average number of pile-up events, μ, between 190 and 210.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/sFCalReview_NConst_VBF2600_prelim.png
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Cell Significance: Cell significance (Ecellcell) for the cell with the largest absolute cell energy over total noise simulated for the current ATLAS FCal, a high-granularity sFCal, and three scenarios with reduced FCal acceptance. Clusters are seeded when the absolute ratio is above 4. Cluster splitting can lead to entries with smaller ratios. The sFCal distribution is enhanced on the positve side while it remains close to the FCal distribution on the negative side. The negative entries are due to pile-up only, while on the positve side signal and pile- up contribute. The increase of mainly the positive side indicates that the signal detection ability is improved for the sFCal while the background remains on the same level. The distributions are obtained for vector-boson fusion events 𝑝𝑝 → 𝐻 𝑞𝑞 → 𝑙𝑣 𝑙+𝑣 𝑞𝑞 at 14 TeV centre-of-mass energy, simulated with the Powheg and Pythia8 Monte Carlo generators in narrow-width approximation for a hypothetic Higgs boson mass of 2.6 TeV and an average number of pile-up events, μ, between 190 and 210.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/sFCalReview_CellSig_VBF2600_prelim.png
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Average pT Density: Shown is the simulated profile of the average median pT density, ρ, evaluated from positive-energy cell towers in the ATLAS LAr calorimeters. For the forward calorimeter, five different scenarios are studied: the current ATLAS FCal, a high-granularity sFCal, and three scenarios with reduced FCal acceptance. When a ρ-based pile-up suppression will be applied in the jet reconstruction it is expected that a larger amount of pT will be removed for jets in the forward region in case of the sFCal. The distributions are obtained for vector-boson fusion events 𝑝𝑝 → 𝐻 𝑞𝑞 → 𝑙𝑣 𝑙+𝑣 𝑞𝑞 at 14 TeV centre-of-mass energy, simulated with the Powheg and Pythia8 Monte Carlo generators in narrow-width approximation for a hypothetic Higgs boson mass of 2.6 TeV and an average number of pile-up events, μ, between 190 and 210.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/MedianDensityProfile_vs_eta.png
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Number of Jets: Simulated integral jet pT distribution for hard scattering and pile-up jets and the relative fraction of hard scattering jets detected in the ATLAS FCal and in a high-granularity sFCal. An area-based pT subtraction is applied. The amount of pT subtracted from a jet is increased by a factor of 10 (thereby effectively killing the jet) in the case that it fails one of the jet shape variable cuts, which are based on jet width, transverse momentum sum of the jet constituents relative to the jet direction and the electromagnetic energy fraction. The distributions are obtained for vector-boson fusion events 𝑝𝑝 → 𝐻 𝑞𝑞 → 𝑙𝑣 𝑙+𝑣 𝑞𝑞 at 14 TeV centre-of-mass energy, simulated with the Powheg and Pythia8 Monte Carlo generators in narrow-width approximation for a hypothetic Higgs boson mass of 2.6 TeV and an average number of pile-up events, μ, between 190 and 210.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/PUSuppression_NJetsAndHSFraction_vs_PtCut.png
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Ratio of Pile-Up Jets: Ratio of number of identified pile-up jets and total number of reconstructed jets as a function of efficiency for determining a hard-scattering jet as simulated in di-jet events at 14 TeV for the ATLAS FCal and a high-granularity sFCal. All jets are selected in the pseudo-rapidity range 3.8<|η|<4.2 and in the pT range between 50 GeV and 70 GeV. Also shown is the double- ratio comparing the sFCal and FCal performance. The jet classification was performed using a likelihood ratio constructed from the jet width, the jet mass, the transverse momentum sum of the jet constituents relative to the jet direction, and the number of jet constituents (clusters).

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/ROC-eff-eta38to42.png
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Number of Pile-Up Jets: Number of identified pile-up jets per event as a function of efficiency for determining a hard-scattering jet in high-mass VBF Higgs events at 14 TeV for the ATLAS FCal and a high- granularity sFCal. All jets are selected in the pseudo-rapidity range 3.2<|η|<3.8 and in the pT range above 20 GeV. The jet reconstruction requires a positive cluster-vertex-fraction and a pile- up correction based on the average median pT density, ρ, evaluated from positive-energy cell towers in the ATLAS LAr calorimeters. The simulation of charged particle tracks is based on the ITk tracking system assuming a tracking coverage of |η|<4 and an ideal ITk detector resolution. The distributions are obtained for vector-boson fusion events 𝑝𝑝 → 𝐻 𝑞𝑞 → 𝑙𝑣 𝑙+𝑣 𝑞𝑞 at 14 TeV centre-of-mass energy, simulated with the Powheg and Pythia8 Monte Carlo generators in narrow-width approximation for a hypothetic Higgs boson mass of 2.6 TeV and an average number of pile-up events, μ, between 190 and 210.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/ROC_effHS_pt20_extr_JES_preliminary.png
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Major updates:
-- MartinAleksa - 06-Aug-2013

Responsible: MartinAleksa
Subject: public

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If you require to introduce a new variable, simply add it to the list below.

  • Set IMGNAME = %IF{"attachments[name='%DEFAULT{default="fig1"}%.png']" then="%DEFAULT{default="fig1"}%.png" else="%IF{"attachments[name='%DEFAULT{default="fig1"}%.jpg']" then="%DEFAULT{default="fig1"}%.jpg" else="%IF{"attachments[name='%DEFAULT{default="fig1"}%.jpeg']" then="%DEFAULT{default="fig1"}%.jpeg" else="File '%DEFAULT{default="fig1"}%' not found!"}%"}%"}%
  • Set IMGPATH = /twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/%IMGNAME{%DEFAULT{default="fig1"}%}%
  • Set IMG = %IMGNAME{%DEFAULT{default=
  • Set PDF = pdf version
  • Set EPS = eps version
  • Set PLOT = %IMG{%DEFAULT{default="fig1"}%}%
    %EPS{%DEFAULT{default="fig1"}%}%, %PDF{%DEFAULT{default="fig1"}%}%
  • Set HALFPLOT = %IMG{"%DEFAULT{default="fig1"}%" IMGSIZE="175"}%
    %EPS{%DEFAULT{default="fig1"}%}%, %PDF{%DEFAULT{default="fig1"}%}%

Topic attachments
I Attachment History Action Size Date Who CommentSorted ascending
JPEGjpg Poster_plots_approval_new.jpg r1 manage 37.7 K 2015-02-23 - 17:19 MartinAleksa CNF Explanation
Unknown file formateps difference_back.eps r1 manage 9.2 K 2017-09-12 - 14:01 SteffenStaerz Demonstrator energy measurement
PDFpdf difference_back.pdf r1 manage 13.8 K 2017-09-12 - 14:01 SteffenStaerz Demonstrator energy measurement
PNGpng difference_back.png r2 r1 manage 25.7 K 2017-09-12 - 14:55 SteffenStaerz Demonstrator energy measurement
Unknown file formateps difference_front.eps r1 manage 9.0 K 2017-09-12 - 14:01 SteffenStaerz Demonstrator energy measurement
PDFpdf difference_front.pdf r1 manage 13.7 K 2017-09-12 - 14:01 SteffenStaerz Demonstrator energy measurement
PNGpng difference_front.png r2 r1 manage 25.4 K 2017-09-12 - 14:55 SteffenStaerz Demonstrator energy measurement
Unknown file formateps difference_middle.eps r1 manage 9.8 K 2017-09-12 - 14:02 SteffenStaerz Demonstrator energy measurement
PDFpdf difference_middle.pdf r1 manage 13.9 K 2017-09-12 - 14:02 SteffenStaerz Demonstrator energy measurement
PNGpng difference_middle.png r2 r1 manage 28.3 K 2017-09-12 - 14:55 SteffenStaerz Demonstrator energy measurement
Unknown file formateps difference_presampler.eps r1 manage 9.5 K 2017-09-12 - 14:02 SteffenStaerz Demonstrator energy measurement
PDFpdf difference_presampler.pdf r1 manage 13.9 K 2017-09-12 - 14:02 SteffenStaerz Demonstrator energy measurement
PNGpng difference_presampler.png r2 r1 manage 26.6 K 2017-09-12 - 14:55 SteffenStaerz Demonstrator energy measurement
Unknown file formateps scatter_back.eps r1 manage 13.2 K 2017-09-12 - 14:06 SteffenStaerz Demonstrator energy measurement
PDFpdf scatter_back.pdf r1 manage 15.2 K 2017-09-12 - 14:06 SteffenStaerz Demonstrator energy measurement
PNGpng scatter_back.png r2 r1 manage 83.9 K 2017-09-12 - 14:55 SteffenStaerz Demonstrator energy measurement
Unknown file formateps scatter_front.eps r1 manage 14.0 K 2017-09-12 - 14:06 SteffenStaerz Demonstrator energy measurement
PDFpdf scatter_front.pdf r1 manage 15.4 K 2017-09-12 - 14:06 SteffenStaerz Demonstrator energy measurement
PNGpng scatter_front.png r3 r2 r1 manage 87.0 K 2017-09-12 - 14:55 SteffenStaerz Demonstrator energy measurement
Unknown file formateps scatter_middle.eps r1 manage 18.2 K 2017-09-12 - 14:07 SteffenStaerz Demonstrator energy measurement
PDFpdf scatter_middle.pdf r1 manage 16.6 K 2017-09-12 - 14:07 SteffenStaerz Demonstrator energy measurement
PNGpng scatter_middle.png r2 r1 manage 95.1 K 2017-09-12 - 14:55 SteffenStaerz Demonstrator energy measurement
Unknown file formateps scatter_presampler.eps r1 manage 14.6 K 2017-09-12 - 14:07 SteffenStaerz Demonstrator energy measurement
PDFpdf scatter_presampler.pdf r1 manage 15.4 K 2017-09-12 - 14:07 SteffenStaerz Demonstrator energy measurement
PNGpng scatter_presampler.png r3 r2 r1 manage 85.0 K 2017-09-12 - 14:55 SteffenStaerz Demonstrator energy measurement
Unknown file formateps Event_0_Demonstrator_Full.eps r1 manage 21.7 K 2017-09-12 - 14:03 SteffenStaerz Demonstrator event display: event 0 (full)
PDFpdf Event_0_Demonstrator_Full.pdf r1 manage 17.1 K 2017-09-12 - 14:03 SteffenStaerz Demonstrator event display: event 0 (full)
PNGpng Event_0_Demonstrator_Full.png r2 r1 manage 96.2 K 2017-09-12 - 14:47 SteffenStaerz Demonstrator event display: event 0 (full)
Unknown file formateps Event_0_Main_Full.eps r1 manage 22.8 K 2017-09-12 - 14:03 SteffenStaerz Demonstrator event display: event 0 (full)
PDFpdf Event_0_Main_Full.pdf r1 manage 17.4 K 2017-09-12 - 14:03 SteffenStaerz Demonstrator event display: event 0 (full)
PNGpng Event_0_Main_Full.png r2 r1 manage 98.4 K 2017-09-12 - 14:49 SteffenStaerz Demonstrator event display: event 0 (full)
Unknown file formateps Event_0_Demonstrator_Partial.eps r1 manage 20.3 K 2017-09-12 - 14:04 SteffenStaerz Demonstrator event display: event 0 (zoom)
PDFpdf Event_0_Demonstrator_Partial.pdf r1 manage 16.6 K 2017-09-12 - 14:04 SteffenStaerz Demonstrator event display: event 0 (zoom)
PNGpng Event_0_Demonstrator_Partial.png r3 r2 r1 manage 102.3 K 2017-09-12 - 14:48 SteffenStaerz Demonstrator event display: event 0 (zoom)
Unknown file formateps Event_0_Main_Partial.eps r1 manage 23.6 K 2017-09-12 - 14:04 SteffenStaerz Demonstrator event display: event 0 (zoom)
PDFpdf Event_0_Main_Partial.pdf r1 manage 17.7 K 2017-09-12 - 14:04 SteffenStaerz Demonstrator event display: event 0 (zoom)
PNGpng Event_0_Main_Partial.png r3 r2 r1 manage 110.3 K 2017-09-12 - 14:50 SteffenStaerz Demonstrator event display: event 0 (zoom)
Unknown file formateps Event_1_Demonstrator.eps r1 manage 22.2 K 2017-09-12 - 14:04 SteffenStaerz Demonstrator event display: event 1
PDFpdf Event_1_Demonstrator.pdf r1 manage 17.3 K 2017-09-12 - 14:04 SteffenStaerz Demonstrator event display: event 1
PNGpng Event_1_Demonstrator.png r2 r1 manage 97.0 K 2017-09-12 - 14:51 SteffenStaerz Demonstrator event display: event 1
Unknown file formateps Event_1_Main.eps r1 manage 23.9 K 2017-09-12 - 14:04 SteffenStaerz Demonstrator event display: event 1
PDFpdf Event_1_Main.pdf r1 manage 22.4 K 2017-09-12 - 14:04 SteffenStaerz Demonstrator event display: event 1
PNGpng Event_1_Main.png r2 r1 manage 98.8 K 2017-09-12 - 14:51 SteffenStaerz Demonstrator event display: event 1
Unknown file formateps Event_2_Demonstrator.eps r1 manage 22.3 K 2017-09-12 - 14:04 SteffenStaerz Demonstrator event display: event 2
PDFpdf Event_2_Demonstrator.pdf r1 manage 17.3 K 2017-09-12 - 14:04 SteffenStaerz Demonstrator event display: event 2
PNGpng Event_2_Demonstrator.png r2 r1 manage 97.4 K 2017-09-12 - 14:52 SteffenStaerz Demonstrator event display: event 2
Unknown file formateps Event_2_Main.eps r1 manage 26.2 K 2017-09-12 - 14:04 SteffenStaerz Demonstrator event display: event 2
PDFpdf Event_2_Main.pdf r1 manage 23.6 K 2017-09-12 - 14:04 SteffenStaerz Demonstrator event display: event 2
PNGpng Event_2_Main.png r2 r1 manage 104.4 K 2017-09-12 - 14:53 SteffenStaerz Demonstrator event display: event 2
Unknown file formateps Event_3_Demonstrator.eps r1 manage 22.8 K 2017-09-12 - 14:05 SteffenStaerz Demonstrator event display: event 3
PDFpdf Event_3_Demonstrator.pdf r1 manage 17.5 K 2017-09-12 - 14:05 SteffenStaerz Demonstrator event display: event 3
PNGpng Event_3_Demonstrator.png r2 r1 manage 96.0 K 2017-09-12 - 14:53 SteffenStaerz Demonstrator event display: event 3
Unknown file formateps Event_3_Main.eps r1 manage 21.4 K 2017-09-12 - 14:05 SteffenStaerz Demonstrator event display: event 3
PDFpdf Event_3_Main.pdf r1 manage 17.0 K 2017-09-12 - 14:05 SteffenStaerz Demonstrator event display: event 3
PNGpng Event_3_Main.png r2 r1 manage 94.5 K 2017-09-12 - 14:54 SteffenStaerz Demonstrator event display: event 3
Unknown file formateps fig1.eps r2 r1 manage 980.0 K 2015-11-12 - 16:59 MartinAleksa Demonstrator SC Plots (eps)
Unknown file formateps fig2.eps r2 r1 manage 20.1 K 2015-11-12 - 16:59 MartinAleksa Demonstrator SC Plots (eps)
Unknown file formateps fig3.eps r2 r1 manage 20.8 K 2015-11-12 - 16:59 MartinAleksa Demonstrator SC Plots (eps)
Unknown file formateps fig4.eps r2 r1 manage 29.8 K 2015-11-12 - 16:59 MartinAleksa Demonstrator SC Plots (eps)
Unknown file formateps fig5.eps r2 r1 manage 26.6 K 2015-11-12 - 16:59 MartinAleksa Demonstrator SC Plots (eps)
Unknown file formateps fig6.eps r2 r1 manage 115.9 K 2015-11-12 - 16:59 MartinAleksa Demonstrator SC Plots (eps)
Unknown file formateps fig7.eps r2 r1 manage 9.5 K 2015-11-12 - 16:59 MartinAleksa Demonstrator SC Plots (eps)
Unknown file formateps fig8.eps r2 r1 manage 10.1 K 2015-11-12 - 16:59 MartinAleksa Demonstrator SC Plots (eps)
PDFpdf fig1.pdf r2 r1 manage 70.2 K 2015-11-12 - 17:00 MartinAleksa Demonstrator SC Plots (pdf)
PDFpdf fig2.pdf r2 r1 manage 10.0 K 2015-11-12 - 17:00 MartinAleksa Demonstrator SC Plots (pdf)
PDFpdf fig3.pdf r2 r1 manage 10.5 K 2015-11-12 - 17:00 MartinAleksa Demonstrator SC Plots (pdf)
PDFpdf fig4.pdf r2 r1 manage 14.3 K 2015-11-12 - 17:00 MartinAleksa Demonstrator SC Plots (pdf)
PDFpdf fig5.pdf r2 r1 manage 12.9 K 2015-11-12 - 17:00 MartinAleksa Demonstrator SC Plots (pdf)
PDFpdf fig6.pdf r2 r1 manage 84.1 K 2015-11-12 - 17:00 MartinAleksa Demonstrator SC Plots (pdf)
PDFpdf fig7.pdf r2 r1 manage 5.0 K 2015-11-12 - 17:00 MartinAleksa Demonstrator SC Plots (pdf)
PDFpdf fig8.pdf r2 r1 manage 5.3 K 2015-11-12 - 17:00 MartinAleksa Demonstrator SC Plots (pdf)
PNGpng fig1.png r2 r1 manage 84.7 K 2015-11-12 - 16:58 MartinAleksa Demonstrator SC plots (png)
PNGpng fig2.png r2 r1 manage 63.0 K 2015-11-12 - 16:58 MartinAleksa Demonstrator SC plots (png)
PNGpng fig3.png r2 r1 manage 64.2 K 2015-11-12 - 16:58 MartinAleksa Demonstrator SC plots (png)
PNGpng fig4.png r2 r1 manage 66.1 K 2015-11-12 - 16:58 MartinAleksa Demonstrator SC plots (png)
PNGpng fig5.png r2 r1 manage 69.0 K 2015-11-12 - 16:58 MartinAleksa Demonstrator SC plots (png)
PNGpng fig6.png r2 r1 manage 104.8 K 2015-11-12 - 16:58 MartinAleksa Demonstrator SC plots (png)
PNGpng fig7.png r2 r1 manage 27.5 K 2015-11-12 - 16:58 MartinAleksa Demonstrator SC plots (png)
PNGpng fig8.png r2 r1 manage 29.0 K 2015-11-12 - 16:58 MartinAleksa Demonstrator SC plots (png)
Unknown file formateps MedianDensityProfile_vs_eta.eps r1 manage 41.3 K 2016-10-18 - 14:44 MartinAleksa  
PDFpdf MedianDensityProfile_vs_eta.pdf r1 manage 35.0 K 2016-10-18 - 14:44 MartinAleksa  
PNGpng MedianDensityProfile_vs_eta.png r1 manage 28.0 K 2016-10-18 - 14:44 MartinAleksa  
Unknown file formateps PUSuppression_NJetsAndHSFraction_vs_PtCut.eps r1 manage 23.5 K 2016-10-18 - 14:44 MartinAleksa  
PDFpdf PUSuppression_NJetsAndHSFraction_vs_PtCut.pdf r1 manage 21.2 K 2016-10-18 - 14:44 MartinAleksa  
PNGpng PUSuppression_NJetsAndHSFraction_vs_PtCut.png r1 manage 30.0 K 2016-10-18 - 14:44 MartinAleksa  
Unknown file formateps ROC-eff-eta38to42.eps r1 manage 1596.5 K 2016-10-18 - 16:12 MartinAleksa  
PDFpdf ROC-eff-eta38to42.pdf r1 manage 690.8 K 2016-10-18 - 16:12 MartinAleksa  
PNGpng ROC-eff-eta38to42.png r1 manage 655.0 K 2016-10-18 - 16:12 MartinAleksa  
Unknown file formateps ROC_effHS_pt20_extr_JES_preliminary.eps r1 manage 13.7 K 2016-10-18 - 14:44 MartinAleksa  
PDFpdf ROC_effHS_pt20_extr_JES_preliminary.pdf r1 manage 19.1 K 2016-10-18 - 14:44 MartinAleksa  
PNGpng ROC_effHS_pt20_extr_JES_preliminary.png r1 manage 27.9 K 2016-10-18 - 14:44 MartinAleksa  
Unknown file formateps noise_tot_ratio_sFCal_SmallGaps_over_FCal_mu200-new_prelim.eps r1 manage 22.1 K 2016-10-18 - 14:43 MartinAleksa  
PDFpdf noise_tot_ratio_sFCal_SmallGaps_over_FCal_mu200-new_prelim.pdf r1 manage 21.8 K 2016-10-18 - 14:43 MartinAleksa  
PNGpng noise_tot_ratio_sFCal_SmallGaps_over_FCal_mu200-new_prelim.png r1 manage 23.0 K 2016-10-18 - 14:43 MartinAleksa  
Unknown file formateps sFCalReview_CellSig_VBF2600_prelim.eps r1 manage 19.3 K 2016-10-18 - 14:43 MartinAleksa  
PDFpdf sFCalReview_CellSig_VBF2600_prelim.pdf r1 manage 16.2 K 2016-10-18 - 14:43 MartinAleksa  
PNGpng sFCalReview_CellSig_VBF2600_prelim.png r1 manage 26.8 K 2016-10-18 - 14:43 MartinAleksa  
Unknown file formateps sFCalReview_NConst_VBF2600_prelim.eps r1 manage 28.8 K 2016-10-18 - 14:43 MartinAleksa  
PDFpdf sFCalReview_NConst_VBF2600_prelim.pdf r1 manage 23.8 K 2016-10-18 - 14:43 MartinAleksa  
PNGpng sFCalReview_NConst_VBF2600_prelim.png r1 manage 28.1 K 2016-10-18 - 14:43 MartinAleksa  
Unknown file formateps HL-LHC-NIEL-PSB-Region-FLUKA-RBTF2013-2x3000ifb.eps r1 manage 20.2 K 2014-03-18 - 17:34 MartinAleksa NIEL Simulations for HEC Cold Electronics in Phase II
JPEGjpg HL-LHC-NIEL-PSB-Region-FLUKA-RBTF2013-2x3000ifb.jpg r1 manage 237.6 K 2014-03-18 - 17:34 MartinAleksa NIEL Simulations for HEC Cold Electronics in Phase II
PDFpdf HL-LHC-NIEL-PSB-Region-FLUKA-RBTF2013-2x3000ifb.pdf r1 manage 11.0 K 2014-03-18 - 17:34 MartinAleksa NIEL Simulations for HEC Cold Electronics in Phase II
PNGpng FADC_noise_poster.png r1 manage 14.0 K 2015-02-23 - 17:08 MartinAleksa Phase I Upgrade Demonstrator Plots
PNGpng LTDB_noise.png r1 manage 14.2 K 2015-02-23 - 17:08 MartinAleksa Phase I Upgrade Demonstrator Plots
PNGpng LTDB_pedestal.png r1 manage 15.9 K 2015-02-23 - 17:08 MartinAleksa Phase I Upgrade Demonstrator Plots
PNGpng cnf_poster.png r1 manage 12.4 K 2015-02-23 - 17:08 MartinAleksa Phase I Upgrade Demonstrator Plots
PNGpng total_noise_I05.png r2 r1 manage 29.2 K 2015-02-23 - 23:28 MartinAleksa Phase I Upgrade Demonstrator Plots
PNGpng totalnoise_demonstrator.png r2 r1 manage 28.5 K 2015-02-23 - 23:29 MartinAleksa Phase I Upgrade Demonstrator Plots
Unknown file formateps FADC_noise_poster.eps r1 manage 17.1 K 2015-02-23 - 17:28 MartinAleksa Phase I Upgrade Demonstrator Plots (eps)
Unknown file formateps LTDB_noise.eps r1 manage 136.9 K 2015-02-23 - 17:28 MartinAleksa Phase I Upgrade Demonstrator Plots (eps)
Unknown file formateps LTDB_pedestal.eps r1 manage 153.2 K 2015-02-23 - 17:28 MartinAleksa Phase I Upgrade Demonstrator Plots (eps)
Unknown file formateps cnf_poster.eps r1 manage 8.8 K 2015-02-23 - 17:28 MartinAleksa Phase I Upgrade Demonstrator Plots (eps)
Unknown file formateps total_noise_I05.eps r2 r1 manage 142.9 K 2015-02-23 - 23:27 MartinAleksa Phase I Upgrade Demonstrator Plots (eps)
Unknown file formateps totalnoise_demonstrator.eps r2 r1 manage 142.9 K 2015-02-23 - 23:28 MartinAleksa Phase I Upgrade Demonstrator Plots (eps)
Unknown file formateps intr_electr_res_fl_prel.eps r1 manage 20.2 K 2017-09-14 - 14:31 SteffenStaerz Quantization noise
PDFpdf intr_electr_res_fl_prel.pdf r1 manage 25.1 K 2017-09-14 - 14:31 SteffenStaerz Quantization noise
PNGpng intr_electr_res_fl_prel.png r1 manage 43.5 K 2017-09-14 - 14:31 SteffenStaerz Quantization noise
Unknown file formateps intr_electr_res_ml_prel.eps r1 manage 20.4 K 2017-09-14 - 14:31 SteffenStaerz Quantization noise
PDFpdf intr_electr_res_ml_prel.pdf r1 manage 25.0 K 2017-09-14 - 14:31 SteffenStaerz Quantization noise
PNGpng intr_electr_res_ml_prel.png r1 manage 45.2 K 2017-09-14 - 14:31 SteffenStaerz Quantization noise
Unknown file formateps Total_Noise.eps r1 manage 10.7 K 2017-09-12 - 19:35 SteffenStaerz Total Noise (HEC)
PDFpdf Total_Noise.pdf r1 manage 14.2 K 2017-09-12 - 19:35 SteffenStaerz Total Noise (HEC)
PNGpng Total_Noise.png r1 manage 114.4 K 2017-09-12 - 19:35 SteffenStaerz Total Noise (HEC)
Unknown file formateps shaper.eps r1 manage 13.8 K 2017-09-12 - 15:29 SteffenStaerz Total Noise, bipolar shaper
PDFpdf shaper.pdf r1 manage 14.4 K 2017-09-12 - 15:29 SteffenStaerz Total Noise, bipolar shaper
PNGpng shaper.png r1 manage 14.5 K 2017-09-12 - 15:29 SteffenStaerz Total Noise, bipolar shaper

This topic: AtlasPublic > Atlas > DataPreparation > ApprovedDetectorPlots > ApprovedPlotsLAr > LArCaloPublicResultsUpgrade
Topic revision: r20 - 2017-09-26 - SteffenStaerz
 
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