TWiki> CMSPublic Web>PhysicsResults>MuonDPGResults>RPCPlots (2022-07-26, AndresCabrera) EditAttachPDF

RPC DPG Approved Results for Conferences

Plots approved in 2022

Plots approved in 2021

Plots approved in 2020

  • RPC Detector performance and background results for 2020 can be found on the dedicated public twiki page
  • Plots for the upgrade on the following twiki page

Plots approved in 2019

Plots approved on 4 July 2019

    • RPC Detector performance and background results for 2018 might be found on the dedicated public twiki page
    • Longevity study & HF production in CMS-RPC - twiki with plots
    • NFN-iRPC prototype. GIF++ testbeam campaign twiki with plots

Plots approved on GMM ( May 20, 2019)

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Figure Description
Pulse_CMS_Mix3.png Example of analog signal: Example of a typical analog signal obtained with a RPC using a gas mixture of 50% HF0, 44.9% CO2, 0.6% SF6 and 4.5% iC4H10, at 8.6 KV, compared with an analog signal using the CMS RPC mixture 0.3% SF6, 4.5% iC4H10 and 95.2% Freon.

Eff_All_Double.png Efficiency vs HV (Double gap mode): Efficiency curves and HV Working Point for several gas mixtures obtained with the RPC operating in double-gap mode. Working Point is defined as HV_@{95%Eff} + 150 V.

Eff_All_Single.png Efficiency vs HV (Single gap mode): Efficiency curves and HV Working Point for several gas mixtures obtained with the RPC operating in single-gap mode. Working Point is defined as HV_{@95%Eff} + 150 V.

Eff_3-4_Double.png Efficiency Mix 3-4 (Double gap mode): Efficiency curves and HV Working Point for mixtures 3 and 4 obtained with the RPC operating in double-gap mode. From 3 to 4 mixtures, isobutane is increased 0.5%, decreasing CO2. A similar behavior is observed.

Eff_3-4_Single.png Efficiency Mix 3-4 (Single gap mode): Efficiency curves and HV Working Point for mixtures 3 and 4 obtained with the RPC operating in single-gap mode. From 3 to 4 mixtures, isobutane is increased 0.5%, decreasing CO2. A similar behavior is observed.

Eff_2-3-5_Double.png Efficiency Mix 2-3-5 (Double gap mode): Efficiency curves and HV Working Point for mixtures 2, 3 and 5 obtained with the RPC operating in double-gap mode. From left to right efficiency curves, HFO is increased 5%, decreasing CO2. The Working Point increased ~300 V.

Eff_2-3-5_Single.png Efficiency Mix 2-3-5 (Single gap mode): Efficiency curves and HV Working Point for mixtures 2, 3 and 5 obtained with the RPC operating in single-gap mode. From left to right efficiency curves, HFO is increased 5%, decreasing CO2 The Working Point increased ~300 V.

WPcluster.png Cluster size vs WP (Double gap mode): Cluster Size versus Working Point, for different gas mixtures obtained with the RPC operating in double-gap mode, shows an almost constant behavior for mixtures 1 to 4 and compatible with the CMS mixture value, mixture 5 is considered far away.

CSvsWP_Single.png Cluster size vs WP (Single gap mode): Cluster Size versus Working Point, for different gas mixtures obtained with the RPC operating in single-gap mode (Top), shows an almost constant behavior for mixtures 2 to 4 and compatible with the CMS mixture value, mixture 5 is considered far away. Cluster size for CMS mixture obtained in single-gap mode (Bottom) is shown for comparison.

StrProb.png Probability of cluster size > 6 (Double gap mode): Probability of event with cluster size greater than 6, for different gas mixtures obtained with the RPC operating in double-gap mode, shows a good RPC response at the Working Point and close to the CMS mixture value.

StrProb_Single.png Probability of cluster size > 6 (Single gap mode): Probability of event with cluster size greater than 6, for different gas mixtures obtained with the RPC operating in single-gap mode (Top), shows a good RPC response at the Working Point and close to the CMS mixture value.

Plots approved on 16 May 2019

    • RPC experimentaly measured rates in RE2 compared to Fluka predictions with newly estimated sensitivities. twiki with plots

Plots approved in 2018

    • RPC performance with yearly 2018 data taking and also CSC and DT detector performance approved plots, might be found on the twiki page with common muon dpg approved plots here.
    • RPC Detector performance results for 2017, approved for the RPC2018 conference might be found on the dedicated public twiki page

Plots approved in 2017

    • RPC Detector performance plots, approved for the EPS conference in Venice might be found on this link. The plots contain: RPC Integrated charge for P5 system, Background studies, Extrapolated rates and Integrated charges are HL-LHC, Barrel Efficiency and Cluster size history for 2016, HV Scan summary. Also RPC detector geometry layouts description is available on the same place. The DPS (Detector Performance Summary) note is available on the CMS document server under the CMS-DP-2017-053 ; CERN-CMS-DP-2017-053.

Plots approved in 2016

Overall RPC efficiency with Tracker Muons and Tag and Probe method. The public page is available here.

Performance of the CMS Muon Detectors in 2016 collision runs - DPS submitted on July 30th

    • The muon performance plot with 2016 collision data might be found on the dedicated twiki page;
    • The Relevant Detector Performance Note might be found on the CERN Document server here.

Performance of the CMS Muon Detectors in early 2016 collision runs - DPS submitted on June 10th

    • The muon performance plot with early 2016 collision data might be found on the dedicated twiki page;
    • The Relevant Detector Performance Note might be found on the CERN Document server here.

Plots approved on WGM 256 (18 February 2016)

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Figure Description
hv50_b_or.png HV50 distributions of Barrel and Endcap: According to the their position the RPCs are subdivided in 2 or 3 eta partitions, called roll. Each roll has a readout and thus it might be considered as an individual detector unit. These plots compare four HV Scans, one done during run2 of the LHC (2015) and the other three during run1 (2011, 2012_1, 2012_2) in order to monitor the chamber performance. The HV50 is defined as the high voltage at which every roll reaches 50% of the plateau efficiency. The distributions are very similar therefore no obvious ageing effect is observed. The different HV50 values for Barrel and Endcap chambers depends on different construction techniques used. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

hv50_e_or.png HV50 distributions of Barrel and Endcap: According to the their position the RPCs are subdivided in 2 or 3 eta partitions, called roll. Each roll has a readout and thus it might be considered as an individual detector unit. These plots compare four HV Scans, one done during run2 of the LHC (2015) and the other three during run1 (2011, 2012_1, 2012_2) in order to monitor the chamber performance. The HV50 is defined as the high voltage at which every roll reaches 50% of the plateau efficiency. The distributions are very similar therefore no obvious ageing effect is observed. The different HV50 values for Barrel and Endcap chambers depends on different construction techniques used. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

hv50_history.png HV50 mean history plot: The core of the HV50 distributions (shown on the previous slide) have been fitted to Gaussian. The points on plot correspond to the mean values and the error bars to the sigmas obtained from the fit. As evident from the plot there is no significant differences in the mean values and thus no significant ageing effect is observed. The values in the Barrel are shown in blue and the Endcap in red. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

wp_b_or.png Working Point (WP) distributions of Barrel and Endcap: WP is defined as the knee voltage plus 100 Volts for Barrel and 120 Volts for Endcap. The knee is defined as the voltage at which every roll reaches a 95% of the the plateau efficiency . These plots compare four HV Scans, one done during run2 of the LHC (2015) and the other three during run1 (2011, 2012_1, 2012_2) in order to monitor the chamber performance. The distributions are very similar therefore no obvious ageing effect is observed. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

wp_e_or.png Working Point (WP) distributions of Barrel and Endcap: WP is defined as the knee voltage plus 100 Volts for Barrel and 120 Volts for Endcap. The knee is defined as the voltage at which every roll reaches a 95% of the the plateau efficiency . These plots compare four HV Scans, one done during run2 of the LHC (2015) and the other three during run1 (2011, 2012_1, 2012_2) in order to monitor the chamber performance. The distributions are very similar therefore no obvious ageing effect is observed. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

wp_history.png Working Point (WP) mean history plot: The core of the WP distributions (shown on the previous slide) have been fitted to Gaussian. The points on plot correspond to the mean values and the error bars to the sigmas obtained from the fit. As evident from the plot there is no significant differences in the mean values and thus no significant ageing effect is observed. The values in the Barrel are shown in blue and the Endcap in red. WP is defined as the knee voltage plus 100 Volts for Barrel and 120 Volts for Endcap. The knee is defined as the voltage at which every roll reaches a 95% of the the plateau efficiency obtained from the HV Scan fit. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

cosmicRateHistory.png System noise rate: The RPC rate is measured also during the cosmics data taking in between the collisions runs. The plot represents the rate level in barrel, endcap and system average from 2011 to 2015. Fluctuations in the rate are mainly due to post-collisions radiation, threshold value optimization vs efficiency and operating channels number change. Though the blue and the green curves show similar drift behavior, no significant spike correlations are observed . The overall trend show minor increase in the system rate with time, which is well below the official CMS requirement of rate < 5 Hz/cm2. The end points of the barrel and endcap curves (2015 data taking) get close together since we have lower noise in the RE4 (around 0.05) which lowers the average of the measured endcap rate. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

eff_history_disks123.png Efficiency History for RE1 RE2 RE3: The plot represents the history of the RPC efficiency for the first three endcap stations (run1 system) evaluated with the 2015 physics data taking. The fluctuation in the middle of June are due to the performed HV scan. The fluctuations in the beginning of October are due to the performed threshold scan. The effective HV depends on the environmental parameters, where the dominant effect is due to the atmospheric pressure variation. A variation of about 10 mbar produces a HV eff difference of about 100V. In order to compensate this dependence automatic corrections to the applied HV have been applied during the data taking. The automatic pressure corrections were deactivated only for the HV scan runs. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Plots approved on WGM 255 (28 January 2016)

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Figure Description
d1.png Efficiency_Roll_vs_sector_disk+1: The plot represents the efficiency of the RPCs installed on the first positive endcap station. The X-axis corresponds to the sector number – there are 36 sectors per ring. The endcap RPC chambers are subdivided in 3 eta partitions. The Y-axis corresponds to the ring number and the names of the detector units. The efficiencies are calculated using the segment extrapolation method explained in JINST 5 (2010) T03017, DOI: 10.1088/1748-0221/5/03/T03017. The analysis is based on the RPCMonitor stream data taken during the 2015 proton-proton collisions. The black entries correspond to the detector units which are switched off due to known hardware problems and the gray ones correspond to the detector units which are excluded from efficiency calculation because the software algorithm is not effective for them due to geometrical constrains. Blue and green colors correspond to the lower efficiency values measured for detector units which are partially masked. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

d2.png Efficiency_Roll_vs_sector_disk+2: The plot represents the efficiency of the RPCs installed on the second ositive endcap station. The X-axis corresponds to the sector number – there are 36 sectors per ring. The endcap RPC chambers are subdivided in 3 eta partitions called rolls. The Y-axis corresponds to the ring number and the names of the detector units. The efficiencies are calculated using the segment extrapolation method explained in JINST 5 (2010) T03017, DOI: 10.1088/1748-0221/5/03/T03017. The analysis is based on the RPCMonitor stream data taken during the 2015 proton-proton collisions. The black entries correspond to the detector units which are switched off due to known hardware problems and the gray ones correspond to the detector units which are excluded from efficiency calculation because the software algorithm is not effective for them due to geometrical constrains. Blue and green colors correspond to the lower efficiency values measured for detector units which are partially masked. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

dp3.png Efficiency_Roll_vs_sector_disk+3: The plot represents the efficiency of the RPCs installed on the second positive endcap station. The X-axis corresponds to the sector number – there are 36 sectors per ring. The endcap RPC chambers are subdivided in 3 eta partitions called rolls. The Y-axis corresponds to the ring number and the names of the detector units. The efficiencies are calculated using the segment extrapolation method explained in JINST 5 (2010) T03017, DOI: 10.1088/1748-0221/5/03/T03017. The analysis is based on the RPCMonitor stream data taken during the 2015 proton-proton collisions. The black entries correspond to the detector units which are switched off due to known hardware problems and the gray ones correspond to the detector units which are excluded from efficiency calculation because the software algorithm is not effective for them due to geometrical constrains. Blue and green colors correspond to the lower efficiency values measured for detector units which are partially masked. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

dp4.png Efficiency_Roll_vs_sector_disk+4: The plot represents the efficiency of the RPCs installed on the fourth positive endcap station. The X-axis corresponds to the sector number – there are 36 sectors per ring. The endcap RPC chambers are subdivided in 3 eta partitions called rolls. The Y-axis corresponds to the ring number and the names of the detector units. The efficiencies are calculated using the segment extrapolation method explained in JINST 5 (2010) T03017, DOI: 10.1088/1748-0221/5/03/T03017. The analysis is based on the RPCMonitor stream data taken during the 2015 proton-proton collisions. The black entries correspond to the detector units which are switched off due to known hardware problems and the gray ones correspond to the detector units which are excluded from efficiency calculation because the software algorithm is not effective for them due to geometrical constrains. Blue and green colors correspond to the lower efficiency values measured for detector units which are partially masked. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

d-1.png Efficiency_Roll_vs_sector_disk-1: The plot represents the efficiency of the RPCs installed on the first negative endcap station. The X-axis corresponds to the sector number – there are 36 sectors per ring. The endcap RPC chambers are subdivided in 3 eta partitions called rolls. The Y-axis corresponds to the ring number and the names of the detector units. The efficiencies are calculated using the segment extrapolation method explained in JINST 5 (2010) T03017, DOI: 10.1088/1748-0221/5/03/T03017. The analysis is based on the RPCMonitor stream data taken during the 2015 proton-proton collisions. The black entries correspond to the detector units which are switched off due to known hardware problems and the gray ones correspond to the detector units which are excluded from efficiency calculation because the software algorithm is not effective for them due to geometrical constrains. Blue and green colors correspond to the lower efficiency values measured for detector units which are partially masked. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

d-2.png Efficiency_Roll_vs_sector_disk-2: The plot represents the efficiency of the RPCs installed on the second negative endcap station. The X-axis corresponds to the sector number – there are 36 sectors per ring. The endcap RPC chambers are subdivided in 3 eta partitions called rolls. The Y-axis corresponds to the ring number and the names of the detector units. The efficiencies are calculated using the segment extrapolation method explained in JINST 5 (2010) T03017, DOI: 10.1088/1748-0221/5/03/T03017. The analysis is based on the RPCMonitor stream data taken during the 2015 proton-proton collisions. The black entries correspond to the detector units which are switched off due to known hardware problems and the gray ones correspond to the detector units which are excluded from efficiency calculation because the software algorithm is not effective for them due to geometrical constrains. Blue and green colors correspond to the lower efficiency values measured for detector units which are partially masked. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

d-3.png Efficiency_Roll_vs_sector_disk-3: The plot represents the efficiency of the RPCs installed on the third negative endcap station. The X-axis corresponds to the sector number – there are 36 sectors per ring. The endcap RPC chambers are subdivided in 3 eta partitions called rolls. The Y-axis corresponds to the ring number and the names of the detector units. The efficiencies are calculated using the segment extrapolation method explained in JINST 5 (2010) T03017, DOI: 10.1088/1748-0221/5/03/T03017. The analysis is based on the RPCMonitor stream data taken during the 2015 proton-proton collisions. The black entries correspond to the detector units which are switched off due to known hardware problems and the gray ones correspond to the detector units which are excluded from efficiency calculation because the software algorithm is not effective for them due to geometrical constrains. Blue and green colors correspond to the lower efficiency values measured for detector units which are partially masked. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

d-4.png Efficiency_Roll_vs_sector_disk-4: The plot represents the efficiency of the RPCs installed on the fourth negative endcap station. The X-axis corresponds to the sector number – there are 36 sectors per ring. The endcap RPC chambers are subdivided in 3 eta partitions called rolls. The Y-axis corresponds to the ring number and the names of the detector units. The efficiencies are calculated using the segment extrapolation method explained in JINST 5 (2010) T03017, DOI: 10.1088/1748-0221/5/03/T03017. The analysis is based on the RPCMonitor stream data taken during the 2015 proton-proton collisions. The black entries correspond to the detector units which are switched off due to known hardware problems and the gray ones correspond to the detector units which are excluded from efficiency calculation because the software algorithm is not effective for them due to geometrical constrains. Blue and green colors correspond to the lower efficiency values measured for detector units which are partially masked. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

w0.png Efficiency_Roll_vs_Sector_Wheel0: The plot represent the efficiency of wheel 0 of Barrel RPCs. The X-axis corresponds to the sector number – there are 12 sectors per barrel wheel. The RPC chambers are subdivided in 2 or 3 eta partitions called rolls. The Y-axis corresponds to the names of the RPC rolls. The efficiencies are calculated using the segment extrapolation method explained in JINST 5 (2010) T03017, DOI: 10.1088/1748-0221/5/03/T03017. The analysis is based on the RPCMonitor stream data taken during the 2015 proton-proton collisions. The black entries correspond to the detector units which are switched off due to known hardware problems and the gray ones correspond to the detector units which are excluded from efficiency calculation because the software algorithm is not effective for them due to geometrical constrains. Blue and green colors correspond to the lower efficiency values measured for detector units which are partially masked. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

wp1.png Efficiency_Roll_vs_Sector_Wheel+1: The plot represent the efficiency of wheel 1 of Barrel RPCs. The X-axis corresponds to the sector number – there are 12 sectors per barrel wheel. The RPC chambers are subdivided in 2 or 3 eta partitions called rolls. The Y-axis corresponds to the names of the RPC rolls. The efficiencies are calculated using the segment extrapolation method explained in JINST 5 (2010) T03017, DOI: 10.1088/1748-0221/5/03/T03017. The analysis is based on the RPCMonitor stream data taken during the 2015 proton-proton collisions. The black entries correspond to the detector units which are switched off due to known hardware problems and the gray ones correspond to the detector units which are excluded from efficiency calculation because the software algorithm is not effective for them due to geometrical constrains. Blue and green colors correspond to the lower efficiency values measured for detector units which are partially masked. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

wp2.png Efficiency_Roll_vs_Sector_Wheel+2: The plot represent the efficiency of wheel 2 of Barrel RPCs. The X-axis corresponds to the sector number – there are 12 sectors per barrel wheel. The RPC chambers are subdivided in 2 or 3 eta partitions called rolls. The Y-axis corresponds to the names of the RPC rolls. The efficiencies are calculated using the segment extrapolation method explained in JINST 5 (2010) T03017, DOI: 10.1088/1748-0221/5/03/T03017. The analysis is based on the RPCMonitor stream data taken during the 2015 proton-proton collisions. The black entries correspond to the detector units which are switched off due to known hardware problems and the gray ones correspond to the detector units which are excluded from efficiency calculation because the software algorithm is not effective for them due to geometrical constrains. Blue and green colors correspond to the lower efficiency values measured for detector units which are partially masked. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

wm2.png Efficiency_Roll_vs_Sector_Wheel-2: The plot represent the efficiency of wheel -2 of Barrel RPCs. The X-axis corresponds to the sector number – there are 12 sectors per barrel wheel. The RPC chambers are subdivided in 2 or 3 eta partitions called rolls. The Y-axis corresponds to the names of the RPC rolls. The efficiencies are calculated using the segment extrapolation method explained in JINST 5 (2010) T03017, DOI: 10.1088/1748-0221/5/03/T03017. The analysis is based on the RPCMonitor stream data taken during the 2015 proton-proton collisions. The black entries correspond to the detector units which are switched off due to known hardware problems and the gray ones correspond to the detector units which are excluded from efficiency calculation because the software algorithm is not effective for them due to geometrical constrains. Blue and green colors correspond to the lower efficiency values measured for detector units which are partially masked. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

wm1.png Efficiency_Roll_vs_Sector_Wheel-1: The plot represent the efficiency of wheel -1 of Barrel RPCs. The X-axis corresponds to the sector number – there are 12 sectors per barrel wheel. The RPC chambers are subdivided in 2 or 3 eta partitions called rolls. The Y-axis corresponds to the names of the RPC rolls. The efficiencies are calculated using the segment extrapolation method explained in JINST 5 (2010) T03017, DOI: 10.1088/1748-0221/5/03/T03017. The analysis is based on the RPCMonitor stream data taken during the 2015 proton-proton collisions. The black entries correspond to the detector units which are switched off due to known hardware problems and the gray ones correspond to the detector units which are excluded from efficiency calculation because the software algorithm is not effective for them due to geometrical constrains. Blue and green colors correspond to the lower efficiency values measured for detector units which are partially masked. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

profile2D_REm1_R2_CH10_B_WGM.png *The plot represents the efficiency vs the local impact point on the RPC surface of a roll in one of the EndCap Disks (RE-1_R2_CH10_B). The Y axes is along the strip length. The lower efficiency spots are due to the dead regions induced by spacers on a 10 × 10 cm2. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

profile2D_Wp1_RB1out_S12_F_WGM.png *The plot represents the efficiency vs the local impact point on the RPC surface of a roll in one of the Barrel wheels (W+1_RB1out_S12_F). The lower efficiency spots are due to the dead regions induced by spacers on a 10 × 10 cm2. The Y axes is along the strip length. Due to the geometrical issues there are not extrapolated hits in the area corresponding to x>=98 cm and because of this the efficiency is not calculated for it. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

profile2D_Wm1_RB1in_S08_B_WGM.png *The plot represents the efficiency vs the local impact point on the RPC surface. The showed example is for one of the barrel RPC from the first layer in Wheel -1 (W-1_RB1in_S08_Backward) which was working with no problems during RUN1, but a gas leak problem appeared in beginning of the 2015 data taking (01.02.2015.). Despite the problem the efficiency of the considered RPC is still high enough. The lower efficiency spots are due to the dead regions induced by spacers on a 10 × 10 cm2. The vertical green line on the right plot corresponds to a masked readout strip. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Barrel_207885_cmsprelim.png 2D Background distribution Barrel 2012 : Barrel Wheels hit rate distribution for a 2012 runs: The detector units hit rate (in Hz/cm2) is shown for a run at average instantaneous luminosity of 4.5*10^33 cm-2 s-1. The highest rate is measured in the innermost (RB1in) stations and in the top sectors (3,4,5) of the outermost (RB4) stations. Detector units switched off are shown in gray, while those not used in the background calculations are shown in black. Blue and violet colors correspond to lower rates, while yellow, orange and red colors correspond to high background level. Plots for 2012 vs 2015 (please, see the plots below) with a similar inst. luminosity are compared to search for differences in the background distribution. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Barrel_260593_cmsprelim_corr3.png 2D Background distribution Barrel 2015: Barrel Wheels hit rate distribution for a 2015 runs: The Detector units hit rate (in Hz/cm2) is shown for a run at average instantaneous luminosity of 4.5*10^33 cm-2 s-1. The highest rate is measured in the innermost (RB1in) stations and in the top sectors (3,4,5) of the outermost (RB4) stations. Detector units switched off are shown in gray, while those not used in the background calculations are shown in black. Blue and violet colors correspond to lower rates, while yellow, orange and red colors correspond to high background level. Plots for 2012 (please, see the plots above) vs 2015 with a similar inst. luminosity are compared to search for differences in the background distribution. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Endcap_207885_cmsprelim.png 2D Background distribution Endcap 2012: Endcap Disks hit rate distribution for a 2012 runs: The detector units hit rate (in Hz/cm2) is shown for a run at average instantaneous luminosity of 4.5*10^33 cm-2 s-1. Detector units switched off are shown in gray, while those not used in the background calculations are shown in black. Blue and violet colors correspond to lower rates, while yellow, orange and red colors correspond to high background level. Plots for 2012 vs 2015 (please, see the plots below) with a similar inst. luminosity are compared to search for differences in the background distribution. The comparison shows also the disappearances of the rate asymmetry in Disks 2 Ring 2 after mounting the missing shielding. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Endcap_260593_cmsprelim.png 2D Background distribution Endcap 2015: Endcap Disks hit rate distribution for a 2015 runs: The detector units hit rate (in Hz/cm2) is shown for a run at average instantaneous luminosity of 4.5*10^33 cm-2 s-1. Detector units switched off are shown in gray, while those not used in the background calculations are shown in black. Blue and violet colors correspond to lower rates, while yellow, orange and red colors correspond to high background level. Plots for 2012 (please, see the plots above) vs 2015 with a similar inst. luminosity are compared to search for differences in the background distribution. The comparison shows also the disappearances of the rate asymmetry in Disks 2 Ring 2 after mounting missing shielding. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Inactive_channels_2015.png Inactive channels 2015: The plot represents the fraction of channels not operational during 2015. The blue line represents the number of inactive (non responsive) channels, while the number of the masked strips (green line) changes with a time as they are adjusted per run depending on the performance of the system. The observed peaks related to the bigger number of masked strips caused by the temporary hardware problems, which were successfully resolved. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

System_ratevslumi2015_corr1.png Rate vs luminosity 2015: The plot shows the average hit rate vs. instantaneous luminosity, with 2015 13TeV pp collisions data. The red dots represent the rate measured in Barrel and the black represent the rate measured in Endcap. The green markers relate to the overall rate evaluated for the entire RPC system. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

barrel_eff_history_time_vr.png Barrel Efficiency History Plot: The plot represents the history of the overall RPC efficiency for the Barrel for the 2015 physics data taking. The fluctuation in the middle of June are due to the performed HV scan. The fluctuations in the beginning of October are due to the performed threshold scan. The RPC efficiency depends on the atmospheric pressure in the cavern. In order to compensate this dependence automatic corrections to the applied HV have been applied during the data taking. The automatic pressure corrections were deactivated only for the HV scan runs. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

endcapAll_eff_history_time_vr.png Endcap Efficiency History Plot: The plot represents the history of the overall RPC efficiency for the Endcap for the 2015 physics data taking. The fluctuation in the middle of June are due to the performed HV scan. The fluctuations in the beginning of October are due to the performed threshold scan. The RPC efficiency depends on the atmospheric pressure in the cavern. In order to compensate this dependence automatic corrections to the applied HV have been applied during the data taking. The automatic pressure corrections were deactivated only for the HV scan runs. Since the main contribution in the number of the extrapolated and observed hits are coming from the first two endcap stations the efficiency fluctuations observed for the RE4 (please, see the next plot) in the beginning of the year do not affect the stability of the efficiency of the whole endcap system. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

endcapRE4_eff_history_time_vr.png RE4 Efficiency History Plot: The plot represents the history of the overall RPC efficiency for the newly installed RPCs on the forth positive and negative endcap stations for the 2015 physics data taking. The fluctuation in the middle of June are due to the performed HV scan. The fluctuations in the beginning of October are due to the performed threshold scan. After the deploying of the new HV working points (08.10.2015) the system performance is improved and the efficiency is higher. The RPC efficiency depends on the atmospheric pressure in the cavern. In order to compensate this dependence automatic corrections to the applied HV have been applied during the data taking. The automatic pressure corrections were deactivated only for the HV scan runs. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Plots approved in 2015

Plots approved on WGM 251 (2 December 2015)

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Figure Description

occupancy_w-2.png The plot represents the cross-sectional view of the barrel wheel -2 of the RPC system. The black points show the position of the reconstructed hits in the middle of the signal electrodes (strips). The results are based on the analysis of the collision data at sqrt (s) =13 TeV at 3.8T. The empty spots correspond to the inactive signal electrodes. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

occupancy_w-1.png The plot represents the cross-sectional view of the barrel wheel -1 of the RPC system. The black points show the position of the reconstructed hits in the middle of the signal electrodes (strips). The results are based on the analysis of the collision data at sqrt (s) =13 TeV at 3.8T. The empty spots correspond to the inactive signal electrodes. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

occupancy_w0.png The plot represents the cross-sectional view of the barrel wheel 0 of the RPC system. The black points show the position of the reconstructed hits in the middle of the signal electrodes (strips). The results are based on the analysis of the collision data at sqrt (s) =13 TeV at 3.8T. The empty spots correspond to the inactive signal electrodes. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

occupancy_w1.png The plot represents the cross-sectional view of the barrel wheel +1 of the RPC system. The black points show the position of the reconstructed hits in the middle of the signal electrodes (strips). The results are based on the analysis of the collision data at sqrt (s) =13 TeV at 3.8T. The empty spots correspond to the inactive signal electrodes. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

occupancy_w2.png The plot represents the cross-sectional view of the barrel wheel +2 of the RPC system. The black points show the position of the reconstructed hits in the middle of the signal electrodes (strips). The results are based on the analysis of the collision data at sqrt (s) =13 TeV at 3.8T. The empty spots correspond to the inactive signal electrodes. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

occupancy_d-4.png The plot represents the cross-sectional view of the new installed 4th RPC stations in the forward regions of the CMS (Endcaps). The black points show the position of the reconstructed hits in the middle of the signal electrodes (strips). The results are based on the analysis of the collision data at sqrt (s) =13 TeV at 3.8T. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

occupancy_d4.png The plot represents the cross-sectional view of the new installed 4th RPC stations in the forward regions of the CMS (Endcaps). The black points show the position of the reconstructed hits in the middle of the signal electrodes (strips). The results are based on the analysis of the collision data at sqrt (s) =13 TeV at 3.8T. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

occupancy_d-3.png The plot represents the cross-sectional view of the 3rd negative RPC station in the forward regions of the CMS (Endcaps). The black points show the position of the reconstructed hits in the middle of the signal electrodes (strips). The results are based on the analysis of the collision data at sqrt (s) =13 TeV at 3.8T. The empty spots correspond to the inactive signal electrodes. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

occupancy_d-2.png The plot represents the cross-sectional view of the 2nd negative RPC station in the forward regions of the CMS (Endcaps). The black points show the position of the reconstructed hits in the middle of the signal electrodes (strips). The results are based on the analysis of the collision data at sqrt (s) =13 TeV at 3.8T. The empty spots correspond to the inactive signal electrodes. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

occupancy_d-1.png The plot represents the cross-sectional view of the 1st negative RPC station in the forward regions of the CMS (Endcaps). The black points show the position of the reconstructed hits in the middle of the signal electrodes (strips). The results are based on the analysis of the collision data at sqrt (s) =13 TeV at 3.8T. The empty spots correspond to the inactive signal electrodes. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

occupancy_d1.png The plot represents the cross-sectional view of the 1st positive and negative RPC station in the forward regions of the CMS (Endcaps). The black points show the position of the reconstructed hits in the middle of the signal electrodes (strips). The results are based on the analysis of the collision data at sqrt (s) =13 TeV at 3.8T. The empty spots correspond to the inactive signal electrodes. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

occupancy_d2.png The plot represents the cross-sectional view of the 2nd positive RPC station in the forward regions of the CMS (Endcaps). The black points show the position of the reconstructed hits in the middle of the signal electrodes (strips). The results are based on the analysis of the collision data at sqrt (s) =13 TeV at 3.8T. The empty spots correspond to the inactive signal electrodes. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

occupancy_d3.png The plot represents the cross-sectional view of the 3rd positive and negative RPC station in the forward regions of the CMS (Endcaps). The black points show the position of the reconstructed hits in the middle of the signal electrodes (strips). The results are based on the analysis of the collision data at sqrt (s) =13 TeV at 3.8T. The empty spots correspond to the inactive signal electrodes. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

eff_endcape4.png Efficiency of 4th Endcap Stations. During the first long shutdown the CMS Muon system was upgraded with 144 newly installed RPC chambers in the 4th endcap stations.The overall efficiency distribution is obtained using the 2015 collision data at sqrt(s)=7 and B=3.8T. Details of efficiency calculation method can be found (J.Instrum.8(2013)P11002). The efficiency distribution shown on the plots is obtained after the new HV working points have been deployed on 08-10-2015. The improvement of about 0.7% is observed after the setting of the new WPs. Few chambers with low efficiency in the distribution correspond to known hardware problems. RE4 efficiency distribution average value is ~95%. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

cls_barrel.png Barrel Cluster Size History (Collisions 2015 at 13 TeV). The plot represents the history of the Mean Cluster Size for the Barrel for the 2015 physics data taking. The fluctuation in the middle of June are due to the performed HV scan. The fluctuations in the beginning of October are due to the performed threshold scan. The details about the expected values of cluster size can be found (CERN/LHC 97-32). Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

cls_endcaps.png Endcap Cluster Size History (Collisions 2015 at 13 TeV). The plot represents the history of the Mean Cluster Size for the Endcap for the 2015 physics data taking.The fluctuations in the middle of June are due to the performed HV scan. The fluctuations in the beginning of October are due to the performed threshold scan.The details about the expected values of cluster size can be found (CERN/LHC97-32). Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

cls_4endcaps.png RE4 Cluster Size History (Collisions 2015 at 13 TeV). The plot represents the history of the Mean Cluster Size for the newly installed RPC chambers on the 4-th Endcap stations. The fluctuations in the middle of June are due to the performed HV scan. The fluctuations in the beginning of October are due to the performed threshold scan. The details about the expected values of cluster size can be found (CERN/LHC97-32). Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

International Nathia Gali Summer College Pakistan

  • Plots approved for the International Nathia Gali Summer College Pakistan at 03/08/2015
  • CMS-DP-2014-XXX ; CERN-CMS-DP-2014-XXX ; CDS Record 166XXXX
Performance of Resistive Plate Chambers during CRAFT-2015 and early collisions at 13 TeV of the CMS experiment Performance of Resistive Plate Chambers during CRAFT-2015 and early collisions at 13 TeV of the CMS experiment

Figure Description
Run251562_lumi565_495142910.png The event display for one of the first muons observed with 13 TeV: This figure shows the muon detector response to muons produced during LHC collisions at 13 TeV. The dark blue lines correspond to CSC segments, and the red lines correspond to RPC reconstructed hits. In the event display we can observe how the four layers of RPC detectors respond when a muons crosses them. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

1.png Barrel Occupancy for Wheel 1: This plot is called the XY view occupancies for the barrel. The plot show the position of the reconstructed muon hits on the RPC detectors. These plots are used to monitor the detector performance. When the geometry of the RPC detector becomes visible we know that the detectors are working properly. The data used for these plots comes from cosmic and 13 TeV collision muons; the data was taken with a magnetic field of 3.8 Tesla. Small interruptions in the black lines are due to RPC detectors that were turned off. Off detectors correspond to commissioning activities on our Gas system. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

2.png" Barrel Occupancy for Wheel 0: This plot is called the XY view occupancies for the barrel. The plot show the position of the reconstructed muon hits on the RPC detectors. These plots are used to monitor the detector performance. When the geometry of the RPC detector becomes visible we know that the detectors are working properly. The data used for these plots comes from cosmic and 13 TeV collision muons; the data was taken with a magnetic field of 3.8 Tesla. Small interruptions in the black lines are due to RPC detectors that were turned off. Off detectors correspond to commissioning activities on our Gas system. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

3.png Barrel Occupancy for Wheel 2:This plot is called the XY view occupancies for the barrel. The plot show the position of the reconstructed muon hits on the RPC detectors. These plots are used to monitor the detector performance. When the geometry of the RPC detector becomes visible we know that the detectors are working properly. The data used for these plots comes from cosmic and 13 TeV collision muons; the data was taken with a magnetic field of 3.8 Tesla. Small interruptions in the black lines are due to RPC detectors that were turned off. Off detectors correspond to commissioning activities on our Gas system. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

4.png Barrel Occupancy for Wheel -1: This plot is called the XY view occupancies for the barrel. The plot show the position of the reconstructed muon hits on the RPC detectors. These plots are used to monitor the detector performance. When the geometry of the RPC detector becomes visible we know that the detectors are working properly. The data used for these plots comes from cosmic and 13 TeV collision muons; the data was taken with a magnetic field of 3.8 Tesla. Small interruptions in the black lines are due to RPC detectors that were turned off. Off detectors correspond to commissioning activities on our Gas system. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

5.png Barrel Occupancy for Wheel -2:This plot is called the XY view occupancies for the barrel. The plot show the position of the reconstructed muon hits on the RPC detectors. These plots are used to monitor the detector performance. When the geometry of the RPC detector becomes visible we know that the detectors are working properly. The data used for these plots comes from cosmic and 13 TeV collision muons; the data was taken with a magnetic field of 3.8 Tesla. Small interruptions in the black lines are due to RPC detectors that were turned off. Off detectors correspond to commissioning activities on our Gas system. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

6.png EndCap Occupancy for Disk 1: This plot is called the XY view occupancies for the Endcap. The plot show the position of the reconstructed muon hits on the RPC detectors. These plots are used to monitor the detector performance. When the geometry of the RPC detector becomes visible we know that the detectors are working properly. The data used for these plots comes from cosmic and 13 TeV collision muons; the data was taken with a magnetic field of 3.8 Tesla. The Endcap fourth station was installed in 2014, therefore these are the newest RPC detectors. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

7.png EndCap Occupancy for Disk 2: This plot is called the XY view occupancies for the Endcap. The plot show the position of the reconstructed muon hits on the RPC detectors. These plots are used to monitor the detector performance. When the geometry of the RPC detector becomes visible we know that the detectors are working properly. The data used for these plots comes from cosmic and 13 TeV collision muons; the data was taken with a magnetic field of 3.8 Tesla. The Endcap fourth station was installed in 2014, therefore these are the newest RPC detectors. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

8.png EndCap Occupancy for Disk 4: This plot is called the XY view occupancies for the Endcap. The plot show the position of the reconstructed muon hits on the RPC detectors. These plots are used to monitor the detector performance. When the geometry of the RPC detector becomes visible we know that the detectors are working properly. The data used for these plots comes from cosmic and 13 TeV collision muons; the data was taken with a magnetic field of 3.8 Tesla. The Endcap fourth station was installed in 2014, therefore these are the newest RPC detectors. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

9.png EndCap Occupancy for Disk 3: This plot is called the XY view occupancies for the Endcap. The plot show the position of the reconstructed muon hits on the RPC detectors. These plots are used to monitor the detector performance. When the geometry of the RPC detector becomes visible we know that the detectors are working properly. The data used for these plots comes from cosmic and 13 TeV collision muons; the data was taken with a magnetic field of 3.8 Tesla. The Endcap fourth station was installed in 2014, therefore these are the newest RPC detectors. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

10.png EndCap Occupancy for Disk 3: This plot is called the XY view occupancies for the Endcap. The plot show the position of the reconstructed muon hits on the RPC detectors. These plots are used to monitor the detector performance. When the geometry of the RPC detector becomes visible we know that the detectors are working properly. The data used for these plots comes from cosmic and 13 TeV collision muons; the data was taken with a magnetic field of 3.8 Tesla. The Endcap fourth station was installed in 2014, therefore these are the newest RPC detectors. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

11.png EndCap Occupancy for Disk -2: This plot is called the XY view occupancies for the Endcap. The plot show the position of the reconstructed muon hits on the RPC detectors. These plots are used to monitor the detector performance. When the geometry of the RPC detector becomes visible we know that the detectors are working properly. The data used for these plots comes from cosmic and 13 TeV collision muons; the data was taken with a magnetic field of 3.8 Tesla. The Endcap fourth station was installed in 2014, therefore these are the newest RPC detectors. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

12.png EndCap Occupancy for Disk -3: This plot is called the XY view occupancies for the Endcap. The plot show the position of the reconstructed muon hits on the RPC detectors. These plots are used to monitor the detector performance. When the geometry of the RPC detector becomes visible we know that the detectors are working properly. The data used for these plots comes from cosmic and 13 TeV collision muons; the data was taken with a magnetic field of 3.8 Tesla. The Endcap fourth station was installed in 2014, therefore these are the newest RPC detectors. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

13.png EndCap Occupancy for Disk -4:This plot is called the XY view occupancies for the Endcap. The plot show the position of the reconstructed muon hits on the RPC detectors. These plots are used to monitor the detector performance. When the geometry of the RPC detector becomes visible we know that the detectors are working properly. The data used for these plots comes from cosmic and 13 TeV collision muons; the data was taken with a magnetic field of 3.8 Tesla. The Endcap fourth station was installed in 2014, therefore these are the newest RPC detectors. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

14.png Residuals for Barrel: Residuals for Barrel and Endcap: The plots show the residual distributions for the central set of RPC detectors. The residuals are defined as the difference of distance between the estimated and the actual hit position of a muon in the RPC detectors. A mean value compatible with 0 means that the expected and observed hit positions agree. A disagreement would imply a loss of efficiency at detecting muons. The RMS is interpreted as the resolution of our detector. The RMS of both barrel and endcap residuals are smaller than the strip width of the detectors. In the barrel, the inner most stations have strips of 2.3 cm width, and the outermost have strips of size 4.1 cm. In the endcap the innermost detectors have strips of 1.7 cm width, and the outermost have strips of 3.6 cm width. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

15.png Residuals for EndCaps: Residuals for Barrel and Endcap: The plots show the residual distributions for the forward set of RPC detectors. The residuals are defined as the difference of distance between the estimated and the actual hit position of a muon in the RPC detectors. A mean value compatible with 0 means that the expected and observed hit positions agree. A disagreement would imply a loss of efficiency at detecting muons. The RMS is interpreted as the resolution of our detector. The RMS of both barrel and endcap residuals are smaller than the strip width of the detectors. In the barrel, the inner most stations have strips of 2.3 cm width, and the outermost have strips of size 4.1 cm. In the endcap the innermost detectors have strips of 1.7 cm width, and the outermost have strips of 3.6 cm width. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

16.png Cluster Size for Barrel: The cluster size is defined as the number of strips fired when a muon crosses a single RPC detector. This quantity was measured with Cosmic muons during 2015 and it was found to be around 1.7. This value is in agreement with previous measurements performed with 2012 Cosmic muons. This stability is important to keep an stable RPC trigger since an increase in the cluster size values will increase the probability to have fake RPC triggers. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

17.png Efficiency of RE4: During the first long shut down the CMS Muon system was upgraded with 144 new RPC chambers installed. These chambers form the 4th endcap stations. Every chamber is subdivided in a 3 eta partitions, these partitions are called rolls. The Efficiency distribution of the fourth endcap stations was obtained with the first collisions taken at 3.8 Tesla. The efficiency calculation used considers only the central part of the rolls. The rolls with more than 10% of the strips inactive are not considered. A minimum number of 100 extrapolations was required to ensure a fair measurement of every roll efficiency. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

18.png Efficiency of Barrel for Collisions 2015: The Efficiency distribution for the barrel was obtained with the first collisions taken at 3.8 Tesla. The efficiency calculation used considers only the central part of the rolls. The rolls with more than 10% of the strips inactive are not considered. A minimum number of 100 extrapolations was required to ensure a fair measurement of every roll efficiency. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

19.png Efficiency for End Cap for collisions 2015: The Efficiency distribution for the endcap was obtained with the first collisions taken at 3.8 tesla. The efficiency calculation used considers only the central part of the rolls. The rolls with more than 10% of the strips inactive are not considered. A minimum number of 100 extrapolations was required to ensure a fair measurement of every roll efficiency. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

20.png HV50 distributions of Barrel: HHV50 is defined as the high voltage at which every roll reaches 50% of the plateau efficiency. Please take a look at DP2014-003 for a full explanation of the HV scan. These plots compare two HV Scans, one done with 2012 data taken at 3.8 tesla, and the other one done with 2015 data taken at 0 tesla. Since RPC efficiencies are independent of the magnetic field surrounding the chambers these results are comparable. The width and the peak of the distributions depend mostly on the construction specifications such as spacers sizes. The spacers are the supports that create the RPC gaps in the chambers. The distributions for 2012 and 2015 are very similar therefore no obvious ageing effect is observed. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

21.png HV50 distributions of EndCap: HV50 is defined as the high voltage at which every roll reaches 50% of the plateau efficiency. Please take a look at DP2014-003 for a full explanation of the HV scan. These plots compare two HV Scans, one done with 2012 data taken at 3.8 tesla, and the other one done with 2015 data taken at 0 tesla. Since RPC efficiencies are independent of the magnetic field surrounding the chambers these results are comparable. The width and the peak of the distributions depend mostly on the construction specifications such as spacers sizes. The spacers are the supports that create the RPC gaps in the chambers. The distributions for 2012 and 2015 are very similar therefore no obvious ageing effect is observed. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

22.png HV50 distributions of RE4 HV50 is defined as the high voltage at which every roll reaches 50% of the plateau efficiency. Please look at DP2014-003 for a full explanation of the HV scan. This plot shows the HV50 distribution for the forth station of the endcaps. The HV scan was done with 2015 data taken at 0 tesla. The width and the peak of the distribution depends mostly on the construction specifications such as spacers sizes. The spacers are the supports that create the RPC gaps in the chambers. Since the RE4 disks were installed in 2014, no comparison with previous HV scans is possible. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

23.png HV SCAN 2015, Effective voltage vs Efficiency for RE4 To find the optimal working point of every RPC roll HV scans are done (please look at DP2014-003). The results of the scans are fitted to a sigmoid for every RPC roll, from the fits a maximum efficiency can be identified. The Knee point is defined as the high voltage at which the efficiency is 95% of the maximum efficiency. The working point of every chamber is defined as the knee point plus 100 Volts for rolls in the central region of the detector, or 120 Volts for rolls in the forward regions. This is the voltage applied at nominal operation, however at operation it is corrected for changes in pressure. This plot shows the working point and the knee for one of the RE4 chambers, the result was obtained from the 2015 HV Scan.Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

Plots approved in 2014

Show plots Show plots

Società Italiana di Fisica

  • Plots approved for the Società Italiana di Fisica (SIF) in Pisa at 22/09/2014
  • CMS-DP-2014-XXX ; CERN-CMS-DP-2014-XXX ; CDS Record 166XXXX
Longevity and Neutron-induced Single Event Effects studies Longevity and Neutron-induced Single Event Effects studies

Figure Description
Plot_resistivity_RPC7.png Single-Gap resistivity measurement: This plot illustrates the procedure used to measure the resistivity of a Single Gap, of dimensions similar to those of the RPCs installed in the CMS experiment in its central region (Barrel RB1 Large: 123,7 x 206 cm2) [LHCC-97-032]. The procedure consists in measuring the current (Imon) for several High Voltage (HV) values (HV scan), in the plot each current point represents an average of 30 values read on the CAEN module. The HV values are corrected for temperature and pression. The error bars are contained in the points. The linear fit is obtained from the last 7 points. The gas used for the measurement was Argon. The electrodes were short-circuited for the measurement. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch
charge.png Single-Gap charge measurement with cosmic rays: This plot illustrates the results of charge measurements performed with cosmic rays on a Single Gap of dimensions similar to the RPC installed in the Endcap region of CMS (RE2/2 size 70,7 x 104,5 cm2). The charge spectrums shown were obtained positioning a readout Pad (14,5 x 7,5 cm2) over the ground plane of the detector and acquiring the signal induced on that pad with a LeCroy digital oscilloscope. The trigger on cosmic rays was performed with two scintillators placed in correspondence to the Pad. The gas mixture used in this measurement was composed by 95.2% C2H2F4, 4.5% iC4H10 (quencher), 0.3% SF6 with a humidity of 45-48 % RH. The knee voltage is 9.5 kV, 10 kV is in plateau. The voltages of the chamber, 9, 9.5 and 10 kV, are not corrected for temperature and pressure. The temperature during the measurement was 20 °C. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch
carica_sovrapposti_empty.png Single-Gap charge measurement with cosmic rays: This plot illustrates the results of charge measurements performed with cosmic rays on a Single Gap of dimensions similar to the RPC installed in the Endcap region of CMS (RE2/2 size 70,7 x 104,5 cm2). The charge spectrums shown were obtained positioning a readout Pad (14,5 x 7,5 cm2) over the ground plane of the detector and acquiring the signal induced on that pad with a LeCroy digital oscilloscope. The trigger on cosmic rays was performed with two scintillators placed in correspondence to the Pad. The gas mixture used in this measurement was composed by 95.2% C2H2F4, 4.5% iC4H10 (quencher), 0.3% SF6 with a humidity of 45-48 % RH. The knee voltage is 9.5 kV, 10 kV is in plateau. The voltages of the chamber, 9, 9.5 and 10 kV, are not corrected for temperature and pressure. The temperature during the measurement was 20 °C. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch
Plot_ComulativeORvsFluence_220mV_nuovo.png Number of Single Event Effects (SEE) vs accumulated neutron fluence: This plot illustrates the cumulative number of events induced by neutrons as a function of the accumulated neutron fluence. The Front End Board was exposed to the neutron flux from the LENA reactor in Pavia with open inputs, so all the events detected should be due to the interaction of neutrons with the Si of the chip. The neutrons had an energy between 3.5 and 18 MeV with a flux of 2x105 n/cm2s. The black points are the events counted by the first RPC Front End Chip, the red points are the events counted the second chip. The error bars are computed as the square root of the number of events in each bin. The linearity shown in the plot is exploited for the calculation of the SEE cross section. The differences between the two chips are included in the systematic uncertainty of the SEE cross section. The signal discrimination threshold of the two chips was put at 220 mV, value of operation in CMS. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch
Plot_sigma_slope_method_nuovo.png Cross section vs Signal discrimination threshold: This plot illustrates the cross section of Single Event Effects induced by neutrons at different signal discrimination thresholds. The value are obtained from the slope of the linear fit in the plot of cumulative counts vs. fluence, that correspond to the ratio: 𝜎=(𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 #119890;𝑣𝑒𝑛𝑡𝑠)/𝐹𝑙𝑢𝑒𝑛𝑐𝑒. This is a mean value between the two chips considered in the previous plot. The flattening in the last four points is due to the fact that neutrons in the energy range considered deposit almost the same quantity of energy inside the silicon of the chip. Indeed the dominant process is the production of alpha particle through the reaction n(Si, a). In the first three points instead, the lower threshold, allows the detection of also events with a lower energy deposit, like inelastic scattering or production of protons. The red error bars are obtained just considering the statistical error, due to the uncertainty on the number of events and on the neutron flux. The blue bars are inclusive of both the statistical error and the systematics errors. The systematics error sources are the difference between the two chips analized and the two different way used for the calculation of the cross section. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch
Plot_RatevsTime_220mV.png Rate of Single Event Effects induced by neutrons: This plot illustrates the rate of events induced by neutrons in every acquisition time interval of 30 min. This plot is obtained dividing the number of events in every acquisition interval per the acquisition time. The black points are the rate of events counted by the first chip mounted on the FEB, while the red points are the rate of events counted by the second chip. The values contained in this plot are exploited for the calculation of the cross section as σ = R/φ, where φ is the neutron flux (next plot). The signal discrimination threshold of the two chips was put at 220 mV, value of operation in CMS. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch
Plot_sigma_rate_method_nuovo.png Cross section vs Signal discrimination threshold: This plot illustrates the cross section of Single Event Effects induced by neutrons at different signal discrimination thresholds. The cross section values are obtained from the measured rate of events with the formula: σ = R/φ where Rmeas is computed as the average of the points in the previous plot for every discrimination threshold. The value of cross section is a mean value between the two chips considered in the previous plot. The behaviour of the cross section can be explained as plot 5. The red error bars are obtained just considering the statistical error, due to the uncertainty on the number of events and on the neutron flux. The blue bars are inclusive of both the statistical error and the systematics errors. The systematics error sources are the difference between the two chips analized and the two different way used for the calculation of the cross section. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

Geant4 simulation of RPC sensitivity to background Geant4 simulation of RPC sensitivity to background

Figure Description
G4process_RPC_neutron2.png Neutron interaction in a double gap RPC: When a neutron enters a double gap RPC, it can interact with the materials inside the detector, producing secondary particles which can reach the gas gaps and can give rise to a background signal. This histogram shows the frequency of processes that generate particles inside the gaps of an RPC, as a function of the energy of the incident neutron. Processes are named using the Geant4 convention. For a neutron energy in the range between 10 meV and 10 eV the incident neutron interacts either via neutron capture on hydrogen and other heavier nuclei, with the emission of gamma rays that in turn undergo compton scattering and pair production (“conv”), or via elastic scattering on hydrogen nuclei with the production of a recoil proton. The intermediate energy range is dominated by neutron elastic scattering on hydrogen nuclei. For neutron energy greater than a few MeV the dominant interaction processes are neutron induced nuclear reactions (“NeutronInelastic”), leading to the fragmentation of the target nucleus and the production of nuclear fragments. The neutron energy range considered for this simulation matches the one of the background photons in CMS cavern according to FOCUS simulations. The simulation was performed using GEANT4.9.6.p02 and the physics list FTFP_BERT_HP. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch
G4process_RPC_photon2.png Photon interaction in a double gap RPC: When a photon enters a double gap RPC, it can interact with the materials inside the detector, producing secondary particles which can reach the gas gaps and can give rise to a background signal. This histogram shows the frequency of processes that generate particles inside the gaps of an RPC, as a function of the energy of the incident photon. Processes are named using the Geant4 convention. For energies up to 0.04 MeV the incident photon interacts mainly via photoelectric effect (“phot”) . The intermediate energy range is dominated by compton scattering. For photon energy greater than about 10 MeV the dominant interaction process is pair production. The photon energy range considered for this simulation matches the one of the background photons in CMS cavern according to FOCUS simulations. The simulation was performed using GEANT4.9.6.p02 and the physics list FTFP_BERT_HP. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch
RE1_sensitivity2.png Sensitivity of a double gap RPC chamber to neutrons, photons, electrons and positrons as a function of the incident particle energy . The sensitivity has been evaluated in the energy ranges of the background particles , according to energy spectra provided by CMS FOCUS v.1.0.0.0 simulations. In the simulations the incident particles were fired on the detector with angular distributions compatible with the ones expected in the RE1 region, according to FOCUS v1.0.0.0. Averaging these sensitivity curves over the RE1 energy spectra we get the mean values of background sensitivity: neutrons 0.26%+0.03, photons 1.6%+0.2%, charged particles 35%+16%. Such values were obtained for the following energy ranges: 1 meV – 1 GeV for neutrons, 0.01 MeV – 100 MeV for photons, 0.1 MeV – 100 MeV. The simulation was performed using GEANT4.9.6.p02 with physics list FTFP_BERT_HP. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

RPC 2014 Conference in Bejing

  • Plots approved for the RPC 2014 Conference in Bejing
  • CMS-DP-2014-003 ; CERN-CMS-DP-2014-003 ; CDS Record 1667879
  • *Other CMS-DP for the RPC 2014 conference not approved by CMS-RPC, but by CMS-L1 and CMS-BRIL are:

RPC Operation 2012 Plots for Efficiency, Clustersize and Noise RPC Operation 2012 Plots for Efficiency, Clustersize and Noise

Figure Description
2012_Efficiency_Distribution.png Efficiency distribution for 2012: This plot shows the efficiency distribution for both barrel and endcap for and integrated luminosity of 6.2 fb-1 taken during run 2012. The efficiency was calculated as described on J. Instrum. 8 (2013) P11002. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
History_Efficiency_Barrel.png Barrel Efficiency: This plot shows the Barrel efficiency history during 2011 and 2012. The working point of every chamber is defined as the High Voltage (HV) applied during operation. To find the optimal working points per chamber, HV scans are done. The results are fitted to a sigmoid from which a Plateau efficiency(maximum efficiency of the chamber) and a Knee point (HV at which the efficiency is at 95 % of the plateau) are identified. From March 2011 until May 2011 the working points for all chambers were set to 9.3 kV. After doing our first HV scan the settings were changed, between May 2011 and June 2012 the working point was defined as Knee + 100 V. From June 2012 to August 2012 the working point was changed to knee + 60 V, this was done to study the impact of low Cluster Size (CLS) on RPC trigger, this led to lower efficiencies. From August 2012 on the working points were set back to the knee + 100V. However the efficiency history is not affected only by the HV settings but also by the pressure corrections applied on this settings. During 2011 and the beginning of 2012 the HV applied to every RPC detector was corrected to compensate for pressure changes in the CMS cavern. If a pressure difference induced a HV change of 40V, a correction was applied to compensate for this change. These corrections were not yet optimal and the final pressure corrections were reached at the end of 2012 when HV was corrected every 3V variation. An extra alpha factor was applied to account for the different response of every RPC chamber to the changes in pressure. The efficiency at the end of 2012 was kept lower than at 2011 to maintain a lower cluster size and therefore a slightly lower but more stable trigger rate. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
History_Efficiency_Endcap.png Endcap Efficiency: This plot shows the Endcap efficiency history during 2011 and 2012. The working point of every chamber is defined as the High Voltage (HV) applied during operation. To find the optimal working points per chamber, HV scans are done. The results are fitted to a sigmoid from which a Plateau efficiency (maximum efficiency of the chamber) and a Knee point (HV at which the efficiency is at 95 % of the plateau) are identified. From March 2011 until May 2011 the working points for all chambers were set to 9.3 kV. After doing our first HV scan the settings were changed, between May 2011 and December 2011 the working point was defined as Knee + 150 V. From December 2011 to June 2012 the working point was changed to knee + 100 V, this change was not optimal. From June 2012 to August 2012 the working point was defined as Knee + 120 V. From August 2012 on the working points did not change but a new algorithm implemented to control RPCs that share the same HV channels was included. However the efficiency history is not affected only by the HV settings but also by the pressure corrections applied on this settings. During 2011 and the beginning of 2012 the HV applied to every RPC detector was corrected to compensate for pressure changes in the CMS cavern. If a pressure difference induced a HV change of 40V, a correction was applied to compensate for this change. These corrections were not yet optimal and the final pressure corrections were reached at the end of 2012 when HV was corrected every 3V variation. An extra alpha factor was applied to account for the different response of every RPC chamber to the changes in pressure. The efficiency at the end of 2012 was kept lower than at 2011 to maintain a lower cluster size and therefore a slightly lower but more stable trigger rate. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
History_CLS_Barrel.png Mean Cluster Size Barrel: This plot shows the Cluster Size (CLS) history during 2011 and 2012. The working point of every chamber is defined as the High Voltage (HV) applied during operation. To find the optimal working points per chamber, HV scans are done. The results are fitted to a sigmoid from which a Plateau efficiency(maximum efficiency of the chamber) and a Knee point (HV at which the efficiency is at 95 % of the plateau) are identified. From March 2011 until May 2011 the working points for all chambers were set to 9.3 kV. After doing our first HV scan the settings were changed, between May 2011 and June 2012 the working point was defined as Knee + 100 V. From June 2012 to August 2012 the working point was changed to knee + 60 V, this was done to study the impact of low CLS on RPC trigger, this led to lower efficiencies. From August 2012 on the working points were set back to the knee + 100V. However the CLS history is not affected only by the HV settings but also by the pressure corrections applied on this settings. During 2011 and the beginning of 2012 the HV applied to every RPC detector was corrected to compensate for pressure changes in the CMS cavern. If a pressure difference induced a HV change of 40V, a correction was applied to compensate for this change. These corrections were not yet optimal and the final pressure corrections were reached at the end of 2012 when HV was corrected every 3V variation. An extra alpha factor was applied to account for the different response of every RPC chamber to the changes in pressure. The CLS at the end of 2012 was kept lower than at 2011 to maintain a lower but more stable trigger rate. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
History_CLS_Barrel.png Mean Cluster Size Endcap: This plot shows the Endcap Cluster Size (CLS) history during 2011 and 2012. The working point of every chamber is defined as the High Voltage (HV) applied during operation. To find the optimal working points per chamber, HV scans are done. The results are fitted to a sigmoid from which a Plateau efficiency (maximum efficiency of the chamber) and a Knee point (HV at which the efficiency is at 95 % of the plateau) are identified. From March 2011 until May 2011 the working points for all chambers were set to 9.3 kV. After doing our first HV scan the settings were changed, between May 2011 and December 2011 the working point was defined as Knee + 150 V. From December 2011 to June 2012 the working point was changed to knee + 100 V, this change was not optimal. From June 2012 to August 2012 the working point was defined as Knee + 120 V. From August 2012 on the working points did not change but a new algorithm implemented to control RPCs that share the same HV channels was included. However the efficiency history is not affected only by the HV settings but also by the pressure corrections applied on this settings. During 2011 and the beginning of 2012 the HV applied to every RPC detector was corrected to compensate for pressure changes in the CMS cavern. If a pressure difference induced a HV change of 40V, a correction was applied to compensate for this change. These corrections were not yet optimal and the final pressure corrections were reached at the end of 2012 when HV was corrected every 3V variation. An extra alpha factor was applied to account for the different response of every RPC chamber to the changes in pressure. The CLS at the end of 2012 was kept lower than at 2011 to maintain a lower but more stable trigger rate. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
RPC_Geometry.pdf Slide explaining the RPC Geometry in the Barrel
Eff_RollvsSector_Disk-3_2012.png Efficiency vs Sector in Disk -3: The plot shows the efficiency of the entire Run 2012 for the disk -3. The x-axis corresponds to the disk chambers from 1 to 36, the y-axis corresponds to the RPC rolls (Detector units). The efficiencies below 90% correspond to rolls working in single gap mode, or rolls partially masked. The grey entries correspond to rolls switched off. The dashed area corresponds to detector units not illuminated by close by CSC segments and are hence excluded from the efficiency calculation. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Eff_RollvsSector_Disk-2_2012.png Efficiency vs Sector in Disk -2: The plot shows the efficiency of the entire Run 2012 for the disk -2. The x-axis corresponds to the disk chambers from 1 to 36, the y-axis corresponds to the RPC rolls (Detector units). The efficiencies below 90% correspond to rolls working in single gap mode, or rolls partially masked. The grey entries correspond to rolls switched off. The dashed area corresponds to detector units not illuminated by close by CSC segments and are hence excluded from the efficiency calculation. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Eff_RollvsSector_Disk-1_2012.png Efficiency vs Sector in Disk -1: The plot shows the efficiency of the entire Run 2012 for the disk -1. The x-axis corresponds to the disk chambers from 1 to 36, the y-axis corresponds to the RPC rolls (Detector units). The efficiencies below 90% correspond to rolls working in single gap mode, or rolls partially masked. The grey entries correspond to rolls switched off. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Eff_RollvsSector_Wheel-2_2012.png Efficiency vs Sector in Wheel -2: The plot shows the efficiency of the entire Run 2012 for the wheel -2. The x-axis corresponds to the wheel sectors from 1 to 12, the y-axis corresponds to the RPC rolls (Detector units). The efficiencies below 90% correspond to rolls working in single gap mode, or rolls partially masked. The grey entries correspond to rolls switched off. The efficiency was measured with the technique described in J. Instrum. 8 (2013) P11002. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Eff_RollvsSector_Wheel-1_2012.png Efficiency vs Sector in Wheel -1: The plot shows the efficiency of the entire Run 2012 for the wheel -1. The x-axis corresponds to the wheel sectors from 1 to 12, the y-axis corresponds to the RPC rolls (Detector units). The efficiencies below 90% correspond to rolls working in single gap mode, or rolls partially masked. The grey entries correspond to rolls switched off. The efficiency was measured with the technique described in J. Instrum. 8 (2013) P11002. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Eff_RollvsSector_Wheel0_2012.png Efficiency vs Sector in Wheel 0: The plot shows the efficiency of the entire Run 2012 for the wheel 0. The x-axis corresponds to the wheel sectors from 1 to 12, the y-axis corresponds to the RPC rolls (Detector units). The efficiencies below 90% correspond to rolls working in single gap mode, or rolls partially masked. The grey entries correspond to rolls switched off. The efficiency was measured with the technique described in J. Instrum. 8 (2013) P11002. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Eff_RollvsSector_Wheel1_2012.png Efficiency vs Sector in Wheel +1: The plot shows the efficiency of the entire Run 2012 for the wheel +1. The x-axis corresponds to the wheel sectors from 1 to 12, the y-axis corresponds to the RPC rolls (Detector units). The efficiencies below 90% correspond to rolls working in single gap mode, or rolls partially masked. The grey entries correspond to rolls switched off. The efficiency was measured with the technique described in J. Instrum. 8 (2013) P11002. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Eff_RollvsSector_Wheel2_2012.png Efficiency vs Sector in Wheel +2: The plot shows the efficiency of the entire Run 2012 for the wheel +2. The x-axis corresponds to the wheel sectors from 1 to 12, the y-axis corresponds to the RPC rolls (Detector units). The efficiencies below 90% correspond to rolls working in single gap mode, or rolls partially masked. The grey entries correspond to rolls switched off. The efficiency was measured with the technique described in J. Instrum. 8 (2013) P11002. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Eff_RollvsSector_Disk1_2012.png Efficiency vs Sector in Disk +1: The plot shows the efficiency of the entire Run 2012 for the disk +1. The x-axis corresponds to the disk chambers from 1 to 36, the y-axis corresponds to the RPC rolls (Detector units). The efficiencies below 90% correspond to rolls working in single gap mode, or rolls partially masked. The grey entries correspond to rolls switched off. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Eff_RollvsSector_Disk2_2012.png Efficiency vs Sector in Disk +2: The plot shows the efficiency of the entire Run 2012 for the disk +2. The x-axis corresponds to the disk chambers from 1 to 36, the y-axis corresponds to the RPC rolls (Detector units). The efficiencies below 90% correspond to rolls working in single gap mode, or rolls partially masked. The grey entries correspond to rolls switched off. The dashed area corresponds to detector units not illuminated by close by CSC segments and are hence excluded from the efficiency calculation. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Eff_RollvsSector_Disk3_2012.png Efficiency vs Sector in Disk +3: The plot shows the efficiency of the entire Run 2012 for the disk +3. The x-axis corresponds to the disk chambers from 1 to 36, the y-axis corresponds to the RPC rolls (Detector units). The efficiencies below 90% correspond to rolls working in single gap mode, or rolls partially masked. The grey entries correspond to rolls switched off. The dashed area corresponds to detector units not illuminated by close by CSC segments and are hence excluded from the efficiency calculation. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
InactiveChannels.png History of the inactive channels: These plots show the history of the inactive channels for the RPC system during 2011 and 2012. The number of inactive channels is the sum of the dead and the masked channels. Channels that are not responsive are labeled as dead, channels that give high noise rates were masked. Inactive channels are the sum of both cases. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
EcapNoise_10_12.png Distribution of the endcap noise rate: measured in dedicated long cosmic runs taken in inter run periods. The average noise rate measured did not change substantially during the first three years of LHC running. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
BarrelNoise_10_12.png Distribution of the barrel noise rate: Measured in dedicated long cosmic runs taken in between proton-proton collisions runs. The average noise rate measured did not change substantially during the first three years of LHC running. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
SystemNoise_10_12.png Distribution of the barrel + endcap noise rate: measured in dedicated long cosmic runs taken in inber run periods. The average noise rate measured did not change substantially during the first three years of LHC running. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

2012 HV Scan 2012 HV Scan
Figure Description
Plot_3HVScans.png HV50 distributions of barrel and endcap: for three HV scans taken during Run-I. The first scan was taken during 2011, the second one was done at the beginning of 2012, the third one was done at the end of 2012 (2012II). Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

RE4 Construction RE4 Construction
Figure Description
cluster_size2_bis.png Mean Cluster size for RE4 chambers: This plot shows the mean cluster size of each RE4 chamber produced by January 2014 (roll by roll), the measurements were obtained at the operational working point (HV95%+150V) with pressure correction. Cosmic ray muon tracks reconstructed at the RE4 assembly sites were used for this measurements. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
efficiency2_bis.png Efficiency Distribution for RE4 chambers: This plot shows the efficiency distribution of all RE4 chamber produced by January 2014 (roll by roll). Cosmic ray muon tracks reconstructed at the RE4 assembly sites were used for this measurements. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
gas_leak_total3.png Leak Measurements for RE4 chambers: This plot shows the leak measurements performed to all RE4 gaps received from KODEL by January 2014 (roll by roll). The leak is measured applying on overpressure of 20 mbar to each gap and measuring the pressure leak. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
hv50_2.png HV50 Distribution for RE4 chambers: This plot shows the HV50 distribution of all RE4 chamber produced by January 2014 (roll by roll). Cosmic ray muon tracks reconstructed at the RE4 assembly sites were used for this measurements. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
slope50.png Slope at HV50 Distribution for RE4 chambers: This plot shows the slope distribution (calculated at 50% efficiency) of all RE4 chamber produced by January 2014 (roll by roll). The slope is the derivative of the sigmoid HV function. Cosmic ray muon tracks reconstructed at the RE4 assembly sites were used for this measurements. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
working_point.png Working Point Distribution for RE4 chambers: This plot shows the working point distribution of all RE4 chamber produced by January 2014 (roll by roll). The working point is estimated by adding 150V to the HV95% point from each HV scan. Cosmic ray muon tracks reconstructed at the RE4 assembly sites were used for this measurements. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
current_total3.png Currents for RE4 chambers: This plot shows the RE4 gap currents measured by January 2014. The test consist of applying High Voltage to the chamber being tested and measure the current on it. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Background Plots Background Plots
Figure Description
Rate_Barrel_Endcap_2012.png System average rate vs. instantaneous luminosity - Barrel, Endcap, Barrel+Endcap: Hit rate vs. instantaneous luminosity with 2012 pp collision data at 8 TeV. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Rate_Barrel_Endcap_2011.png System average rate vs. instantaneous luminosity - Barrel, Endcap, Barrel+Endcap: Hit rate vs. instantaneous luminosity with 2011 pp collision data at 7 TeV. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Disk-3_204577.png Endcap Disk -3 rate distribution for a 2012 run: The roll rate (in Hz/cm2) is shown for a run at average instantaneous luminosity of 4*10^33 cm-2 s-1. The highest rate is measured in the innermost eta partitions (Ring2, partition C). Rolls switched off are shown in grey, while rolls not used in the background calculations are shown in black. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Disk-2_204577.png Endcap Disk -2 rate distribution for a 2012 run: The roll rate (in Hz/cm2) is shown for a run at average instantaneous luminosity of 4*10^33 cm-2 s-1. The highest rate is measured in the innermost eta partitions (Ring2, partition C). Rolls switched off are shown in grey, while rolls not used in the background calculations are shown in black. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Disk-1_204577.png Endcap Disk -1 rate distribution for a 2012 run: The roll rate (in Hz/cm2) is shown for a run at average instantaneous luminosity of 4*10^33 cm-2 s-1. The highest rate is measured in the innermost eta partitions (Ring2, partition C). Rolls switched off are shown in grey, while rolls not used in the background calculations are shown in black. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Wheel-2_204577.png Barrel Wheel -2 rate distribution for a 2012 run: The roll rate (in Hz/cm2) is shown for a run at average instantaneous luminosity of 4*10^33 cm-2 s-1. The highest rate is measured in the innermost (RB1in) stations and in the top sectors (3,4,5) of the outermost (RB4) stations. Rolls switched off are shown in grey, while rolls not used in the background calculations are shown in black. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Wheel-1_204577.png Barrel Wheel -1 rate distribution for a 2012 run: The roll rate (in Hz/cm2) is shown for a run at average instantaneous luminosity of 4*10^33 cm-2 s-1. The highest rate is measured in the innermost (RB1in) stations and in the top sectors (3,4,5) of the outermost (RB4) stations. Rolls switched off are shown in grey, while rolls not used in the background calculations are shown in black. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Wheel0_204577.png Barrel Wheel 0 rate distribution for a 2012 run: The roll rate (in Hz/cm2) is shown for a run at average instantaneous luminosity of 4*10^33 cm-2 s-1. The highest rate is measured in the innermost (RB1in) stations and in the top sectors (3,4,5) of the outermost (RB4) stations. Rolls switched off are shown in grey, while rolls not used in the background calculations are shown in black. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Wheel1_204577.png Barrel Wheel +1 rate distribution for a 2012 run: The roll rate (in Hz/cm2) is shown for a run at average instantaneous luminosity of 4*10^33 cm-2 s-1. The highest rate is measured in the innermost (RB1in) stations and in the top sectors (3,4,5) of the outermost (RB4) stations. Rolls switched off are shown in grey, while rolls not used in the background calculations are shown in black. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Wheel2_204577.png Barrel Wheel +2 rate distribution for a 2012 run: The roll rate (in Hz/cm2) is shown for a run at average instantaneous luminosity of 4*10^33 cm-2 s-1. The highest rate is measured in the innermost (RB1in) stations and in the top sectors (3,4,5) of the outermost (RB4) stations. Rolls switched off are shown in grey, while rolls not used in the background calculations are shown in black. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Disk1_204577.png Endcap Disk +1 rate distribution for a 2012 run: The roll rate (in Hz/cm2) is shown for a run at average instantaneous luminosity of 4*10^33 cm-2 s-1. The highest rate is measured in the innermost eta partitions (Ring2, partition C). Rolls switched off are shown in grey, while rolls not used in the background calculations are shown in black. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Disk2_204577.png Endcap Disk +2 rate distribution for a 2012 run: The roll rate (in Hz/cm2) is shown for a run at average instantaneous luminosity of 4*10^33 cm-2 s-1. The highest rate is measured in the innermost eta partitions (Ring2, partition C). Rolls switched off are shown in grey, while rolls not used in the background calculations are shown in black. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Disk3_204577.png Endcap Disk +3 rate distribution for a 2012 run: The roll rate (in Hz/cm2) is shown for a run at average instantaneous luminosity of 4*10^33 cm-2 s-1. The highest rate is measured in the innermost eta partitions (Ring2, partition C). Rolls switched off are shown in grey, while rolls not used in the background calculations are shown in black. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
barrel_W-2.png Barrel rate vs. instantaneous luminosity, Wheel -2: Hit rate vs. instantaneous luminosity with 2012 pp collision data at 8 TeV. The rate of Wheel -2 is shown for different RPC stations, i.e. for different values of the R coordinate. The rate is averaged over the azimuthal phi sectors. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
barrel_W-1.png Barrel rate vs. instantaneous luminosity, Wheel -1: Hit rate vs. instantaneous luminosity with 2012 pp collision data at 8 TeV. The rate of Wheel -1 is shown for different RPC stations, i.e. for different values of the R coordinate. The rate is averaged over the azimuthal phi sectors. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
barrel_W1.png Barrel rate vs. instantaneous luminosity, Wheel +1: Hit rate vs. instantaneous luminosity with 2012 pp collision data at 8 TeV. The rate of Wheel +1 is shown for different RPC stations, i.e. for different values of the R coordinate. The rate is averaged over the azimuthal phi sectors. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
barrel_W2.png Barrel rate vs. instantaneous luminosity, Wheel +2: Hit rate vs. instantaneous luminosity with 2012 pp collision data at 8 TeV. The rate of Wheel +2 is shown for different RPC stations, i.e. for different values of the R coordinate. The rate is averaged over the azimuthal phi sectors. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Disks1_BK.png Endcap rate vs. instantaneous luminosity, Disks1:. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Disks2_BK.png Endcap rate vs. instantaneous luminosity, Disks2:. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Disks3_BK.png Endcap rate vs. instantaneous luminosity, Disks3:. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
D1_ecap_ratevsphi.png Endcap Disk +/-1 azimuthal rate distribution for a 2012 run : The background rate (in Hz/cm2) is shown as a function of the chamber azimuthal position for a run at average instantaneous luminosity of 1.7*10^33. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
D2_ecap_ratevsphi.png Endcap Disk +/-2 azimuthal rate distribution for a 2012 run : The background rate (in Hz/cm2) is shown as a function of the chamber azimuthal position for a run at average instantaneous luminosity of 1.7*10^33. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
D3_ecap_ratevsphi.png Endcap Disk +/-3 azimuthal rate distribution for a 2012 run : The background rate (in Hz/cm2) is shown as a function of the chamber azimuthal position for a run at average instantaneous luminosity of 1.7*10^33. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Barrel_phi_W-1.png Barrel azimuthal rate distribution for a 2012 run : The background rate (in Hz/cm2) is shown as a function of the chamber azimuthal position for a run at average instantaneous luminosity of 1.7*10^33. Four radial layers of Wheel-1 are shown. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Barrel_phi_RB4.png Barrel azimuthal rate distribution for a 2012 run : The background rate (in Hz/cm2) is shown as a function of the chamber azimuthal position for a run at average instantaneous luminosity of 1.7*10^33. The phi asymmetry of the radial layer RB4 is shown in all wheels. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Web Based Monitoring Plots Web Based Monitoring Plots
Figure Description
WBM1.png Dead Channels vs Time: This plot shows the number of dead channels by the instantaneous luminosities - real time monitoring tool to check RPC channel stability and reliability over time (7 TeV in 2012 and 8 TeV in 2012). Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
WBM2.png Rate vs Luminosity: This plot shows the average rate vs the instantaneous luminosities. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
WBM3.png Rate per wheel vs Luminosity: This plot shows the average rate per wheel vs the instantaneous luminosities. Found that the rate in Wheel+2 is higher than that in Wheel-2 due to high rate in the last station of Wheel+2. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
WBM4.png Rate / Luminosity vs Time: This plot shows the average rate by the instantaneous luminosities over time. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
WBM5.png Barrel Rate / Luminosity vs Time: This plot shows the average rate by the instantaneous luminosities per wheel over time. Found that the rate in Wheel+2 is higher than that in Wheel-2 due to high rate in the last station of Wheel+2. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Barrel_current_plot.png Barrel Currents vs Luminosities: This plot shows the average current measured in the barrel wheels High(Low) voltage channels for different instantaneous luminosities. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Barrel_current_ratio_plot.png Current / Luminosity vs Run Number: This plot shows the average current measured in the barrel High(Low) voltage channels divided by the instantaneous luminosities. Every point was taken during a specific run. In CMS an interrupted period of data acquisition is given a sequential number. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Cavern_Pressure.png Pressure vs Time: Pressure vs Time: This plot shows the pressures measured in the cavern from April 2011 until December 2012. The plot can be associated with the history plots for efficiency, trigger cross-sections, and cluster size shown in the last approval. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Plots approved in 2013

Show plots Show plots

Quality Certification 4 (QC4) for RE4 Performance Plots

  • Plots approved for the XIV Mexican Workshop on Particles and Fields
  • CMS-DP-2014-001 ; CERN-CMS-DP-2014-001 ; CDS Record 1642123
Quality Certification 4 (QC4) Plots Quality Certification 4 (QC4) Plots
Figure Description
20131114_AnalogCurrent.png Analog Low Voltage Current: By design each Front-End Board (FEB) should draw about 0.12 A for the analog low voltage (LV) power supply (PS). Adding the Distribution Board, every chamber should draw about 0.36 A from the analog PS.
20131114_DigitalCurrent.png Digital Low Voltage Current: By design each Front-End Board (FEB) should draw about 0.25 A for the digital low voltage (LV) power supply (PS). Adding the Distribution Board, every chamber should draw about 0.75 A from the digital PS (plus 50-100 mA for the distribution board).
20131114_GasLeak01.png Gas Leak Test : The plots show the pressure drops measured for each chamber in a time interval of 10 minutes (stable conditions). These measurements were taken with a tool provided by CERN gas group (called Gas Leak Box).
20131114_GasLeak02.png Gas Leak Test: The plots show the pressure drops measured for each chamber in a time interval of 10 minutes (stable conditions). These measurements were taken with a tool provided by CERN gas group (called Gas Leak Box).
20131114_HVscantest.png HV scan: The test is started by applying 1 kV to each gap to detect broken connections and electrical short circuits. Then the high voltage is raised by 1 kV every 10 minutes up to 8 kV. Then to 9 kV by 0.5 kV, at this voltage gas avalanches begin to develop. Finally the high voltage is raised to 10 kV in steps of 0.1 kV. This is an example of how an operational chamber responds to the test.
20131115_All_imax_Currents_at_9600V.png Imax at 9.6 kV: The chambers are alternately kept at 9.7 kV for 10 hours, and at 6 kV for 2 hours to observe the behavior of the ohmic dark currents of the gas gaps, and this for a period of 4 weeks. If the dark current has a rising trend or is too high, the chamber is rejected and not used for further assembly.
20131115_SomeCurrents_at_9600V.png Sample Of Stability Test: Representative behavior of the chambers durint the Stability Test. The chambers are alternately kept at 9.7 kV for 10 hours, and at 6 kV for 2 hours to observe the behavior of the ohmic dark currents of the gas gaps, and this for a period of 4 weeks. If the dark current has a rising trend or is too high, the chamber is rejected and not used for further assembly.

Optimization of the Gas System in the CMS RPC Detector at the LHC

  • Slides and Plots approved for IEEE Nuclear Science Symposium (IEEE-NSS)
  • CMS-DP-2013-030 ; CERN-CMS-DP-2013-030 ; CDS Record 1622269
Gas Leak Plots Gas Leak Plots
Figure Description
2013_Pressure_Log.png Pressure vs. Time: This plot shows four different kinds of RPC leaks. These measurements were taken with a special tool supported by CERN gas group (called Gas Leak Box). The leak rates were calculated using pressure drop intervals of approximately 10 minutes.
2013_Leakrate_W-2.png Leak Rate vs. Wheel -2 Channel Number: This plot shows the calculated average leak rates and their assigned errors for wheel -2 channels. Channels 13,14,19 and 36 had large leaks, therefore they were excluded from the plot.
2013_Leakrate_W-2_Histogram.png Distribution of the leak rates for wheel -2: This plot shows the distribution of the leak rates for wheel -2 channels. Channels with large leaks were excluded.

2012_RunA_D_Efficiency.png Distribution of the RPC efficiency These plots show the efficiencies of the known leaky chambers(>150 mL/h) compared to all the chambers. We conclude the efficiency of a chamber is not hugely affected by a leak.
2012_RunA_D_Efficiency_Logscale.png Distribution of the RPC efficiency These plots show the efficiencies of the known leaky chambers(>150 mL/h) compared to all the chambers. We conclude the efficiency of a chamber is not hugely affected by a leak.

The CMS RPC system - detector performance and upgrade

  • Plots approved for the EPS 2013 Conference
  • CMS-DP-2013-020 ; CERN-CMS-DP-2013-020 ; CDS record 1564902
Background Plots Background Plots
Plots Legends
RBBackRates.png
RPC Barrel Radial Background Rates vs. Instantaneous Luminosity at 8 TeV in 2012
RPC Barrel Radial Background Rates vs. Instantaneous Luminosity at 8 TeV in 2012: A linear correlation was observed between the measured rate and the delivered instantaneous luminosity. RPC background rates as a function of the instantaneous luminosity are shown for four radial stations of a wheel in barrel. Outermost station was affected mainly by neutron background, while innermost mainly affected by particles coming from the interaction point. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
REBackRates.png
RPC Endcap Asymmetric Background Rates vs. Instantaneous Luminosity at 8 TeV in 2012:
RPC Endcap Asymmetric Background Rates vs. Instantaneous Luminosity at 8 TeV in 2012: Asymmetric background rates between the negative and positive endcaps are shown. Larger background was observed in Ring 2 of Disk -2, while it wasn’t in other disks. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Muon Identification Plots Muon Identification Plots
Plots Legends
MuonIdEfficiency.png
Muon ID Efficiency vs. pT before and after Long Shutdown 1 (LS1) in simulation
Muon ID Efficiency vs. pT before and after Long Shutdown 1 (LS1) in simulation: First estimation of the improvement in the muon ID efficiency with and without ME4 and RE4 for 1.2 < Ι η Ι < 1.8 is 1.8 ± 0.3% (statistical error only). cms-pog-conveners-muon@cernNOSPAMPLEASE.ch

RPC Plots for Vienna Conference VCI

High Voltage Scan Plots High Voltage Scan Plots
Plots Legends
HVScan2012.png
Barrel and Endcap Average Efficiency vs effective HV (reference pressure 965mbar).
Barrel and Endcap Average Efficiency vs effective HV (reference pressure 965mbar). 3HV Scans: February 2011, March 2012 and December 2012. Same detector conditions for the 3 HV Scans(thresholds, gas, pressure correction algorithm) Broken and recovered chambers/chips have been changing during the 2 years. This affects the estimation of Efficiency. But it is taken into account in the systematic errors. After 2 years of LHC collisions no significant changes. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
HVScan CS.png
Average Cluster Size vs effective HV (reference pressure 965mbar) for 3HV Scans:
Average Cluster Size vs effective HV (reference pressure 965mbar) for 3HV Scans: February 2011, March 2012 and December 2012. Plots for Barrel and Endcap. Same detector conditions for the 3 HV Scans (thresholds, gas, pressure correction algorithm) Broken and recovered chambers/chips have been changing during the 2 years. This affects the estimation of Cluster size. It is taken into account in the systematic errors. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Efficiency Plots Efficiency Plots
Plots Legends
HistPlot2011 2012 EffBarrel.png
RPC Barrel efficiency during two years of data taking.
RPC Barrel efficiency during two years of data taking. The pressure correction for the applied High Voltage has been applied with different calibrations. The legends define different periods of data taking and the details for the pressure correction. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
CS vs Pressure.png
Cluster size vs Atmospheric pressure
One point per run. In red, early 2011 data, a linear correlation between the cluster size and atmospheric pressure. In blue, late 2012 data, the cluster size is stable ~1.85 and the correlation disappeared. The changes in the atmospheric pressure were taken into account for the High Voltage settings every 3 minutes, the algorithms were carefully calibrated. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
InactiveChannelsBarrel.png
Inactive channels =Dead+Masked.
Inactive channels =Dead+Masked. The total number of channels in CMS-RPC is 109608. Dead channel: The number of strips without data unplugged or other hardware problems. Masked channel: Data from this strips is ignored, main reason is electronic noise. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
RPC Variables Plots RPC Variables Plots
Plots Legends
CSDistribution 2011.png
Cluster size distribution for all the RPC system, one run in 2011. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
  • Performance of the CMS Resistive Plate Chambers (RPC) in 2011 :: CMS-DP-2012-001 ; CERN-CMS-DP-2012-001 ; CDS record 1454655

Plots Legends
EffDistri2011.png
Efficiency distribution per roll (run 178985) , the tail shows inactive or masked, chambers working in single gap. The expected efficiency for RPCs is 95%. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
MeanCurrent.png
Mean current, color map Mean current color map by chamber per run. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
ChamberTemp.png
Chamber Temperature Chamber temperature distribution in Wheel -2 for a given run. Maximum temperature is always below 22°C. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Plots approved in 2012

Show plots Show plots

CMS RPC system plots for ICHEP 2012

  • Plots approved for the ICHEP 2012 Conference
  • CMS-DP-2012-020 ; CERN-CMS-DP-2012-020 ; CDS Record 1478131

High Voltage Scan Plots High Voltage Scan Plots
Plots Legends
HVScanBarrelEndcap.png
Average Barrel and EndCap efficiency during the High Voltage Scan performed in 2012 superimposed with the High Voltage Scan in 2011.
Average Barrel and EndCap efficiency during the High Voltage Scan performed in 2012 superimposed with the High Voltage Scan in 2011. The similarity in the curves shows the stability of the system, no aging effects for the CMS RPC chambers. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
HVScan 50PercMaxEff.png
Distribution of the High Voltage required to reach 50% of the maximum efficiency, 2012 and 2011 divided in Barrel and Endcap.
Distribution of the High Voltage required to reach 50% of the maximum efficiency, 2012 and 2011 divided in Barrel and Endcap. The mean values and the shape of the distributions didn't change significantly, no aging effects for the CMS RPC chambers. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Impact of RPC on Muon RECO Impact of RPC on Muon RECO
Plots Legends
EffRPCEffect.png
HyunkwanSeoPlots.png
EffEtaRPCEffect.png
HyunkwanSeoPlots.png
EffEtaRPCEffect7GeV.png
HyunkwanSeoPlots.png
EffPhiRPCEffect.png
HyunkwanSeoPlots.png
EffPhiRPCEffect7GeV.png
HyunkwanSeoPlots.png
The muon selection used here is the same as Tight Muon except the following two are not required: RPC hit contribution is more evident for pT < 7 GeV and crack regions between adjacent wheels.

RPC Occupancy Plots RPC Occupancy Plots
Plots Plots Plots Legends
RPC Occupancy DN3.png
Occupancy in Disk -3
RPC Occupancy DN2.png
Occupancy in Disk -2
RPC Occupancy DN1.png
Occupancy in Disk -1
Occupancy in Disk -3, -2 and -1 cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
RPC Occupancy DP3.png
Occupancy in Disk +3
RPC Occupancy DP2.png
Occupancy in Disk +2
RPC Occupancy DP1.png
Occupancy in Disk +1
Occupancy in Disk +3, +2 and +1 cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
RPC Occupancy WP2.png
Occupancy in Wheel +2
RPC Occupancy WP1.png
Occupancy in Wheel +1
RPC Occupancy WP0.png
Occupancy in Wheel 0
Occupancy in Wheels +2, +1 and 0 cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
RPC Occupancy WN2.png
Occupancy in Wheel -2
RPC Occupancy WN1.png
Occupancy in Wheel -1
  Occupancy in Wheels -2, -1 cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Performance of the CMS level 1 Resistive Plate Chamber (RPC) trigger in 2011

RPC Timing RPC Timing
RPC Hit Timing
The RPC hit timing is computed using hits spatially matched to pointing muons reconstructed offline. Only leading hits from RPC readout strips in a 6 bunch crossing wide window are accounted when making the plot. Correct bunch crossing is identified for 99.98% of the RPC hits matched to muons. More details can be found in the original approval slides linked in the top of the TWIKI.
Contact for (1) : cms-dpg-conveners-l1@cernNOSPAMPLEASE.ch
RPC Hit Timing 2011.png
(1) Time distribution (in BX units) of RPC hits
RPC Trigger Timing
The L1 RPC PAttern Comparator Trigger (PACT) timing is computed asking for geometrical matching beween offline reconstructed muons of good quality (tight muons) with a pt > 10 GeV and RPC PACT triggers. The measurment is performed using events coming from an unbiased Dataset (MinimumBias). The RPC trigger signal is extended into two consecutive bunch crossings to allow triggering of "lately arriving" particles (HSCP). More details can be found in the original approval slides linked in the top of the TWIKI.
Contact for (2) : cms-dpg-conveners-l1@cernNOSPAMPLEASE.ch
RPC PAC Timing 2011.png
(2) Time distribution (in BX units) of RPC PACT trigger

RPC Efficiency RPC Efficiency
RPC Trigger Efficiency Breakdown
RPC acceptance, detector and trigger efficiencies, computed w.r.t. good quality (tight) offline muons with a pt larger than 10 GeV from an unbiased (MinimumBias) Dataset are shown. Contributions to overall efficiency coming from detector acceptance, detector efficiency and trigger logic are highlighted in blue, red and green respectively. When considering the detector efficiency contribution term, a minimum number of 3 hits geometrically arranged to potentially generate a L1 RPC trigger signal is requested. More details can be found in the original approval slides linked in the top of the TWIKI.
Contact for (1) : cms-dpg-conveners-l1cern.ch
RPC Acceptance Efficiency 2011.png
(1) Breakdown of RPC Trigger Efficiency (acceptance/detector/trigger) as function of offline muon Eta
RPC PAttern Comparator Trigger (PACT) Efficiency
The plot shows RPC PACT turn-on curves computed w.r.t. good quality (tight) offline muons from an unbiased (MinimumBias) Dataset for different RPC PACT trigger Pt cuts. Events with offline reconstructed muons used to compute the measurement are required to satisfy the 3 RPC detector hit criteria described for the detector efficiency term of the plot above. The histogram, therefore, only shows the efficiency of the PACT algorithm, factorizing out acceptance and detector efficiencies. More details can be found in the original approval slides linked in the top of the TWIKI.
Contact for (2) : cms-dpg-conveners-l1@cernNOSPAMPLEASE.ch
RPC PAC Efficiency 2011.png
(2) Efficiecny of the RPC PACT as a function of offline muon Pt
RPC Overall Trigger Efficiency
Overall L1 RPC Trigger efficiency computed using T&P method on J/Psi and Z samples. The efficienciey is computed using tracker tracks, identified as muons by the J/Psi-Z invariant mass cuts and plotted, for different PACT Pt thresholds, as a function of the Pt of the tracker track. More details can be found in the original approval slides linked in the top of the TWIKI.
Contact for (3) : cms-dpg-conveners-l1@cernNOSPAMPLEASE.ch
RPC Full Trigger Efficiency 2011.png
(3) Overall Efficiecny of the RPC L1 Trigger computed using T&P on J/Psi and Z samples as a function of offline muon Pt

Performance of the CMS Resistive Plate Chambers (RPC) in 2011

  • Plots approved for the RPC 2012 Conference
  • CMS-DP-2012-001 ; CERN-CMS-DP-2012-001 ; CDS Record 1454655
Background Plots Background Plots
Plots Legends
RadialDistributionRateBarrel2011.png
Radial distribution of the rate Barrel
Radial distribution of the rate Barrel RPC Background rate as a function of the instantaneous luminosity, for four radial stations of Barrel wheel W-2. Outermost station affected mainly by neutron background, innermost mainly affected by particles coming from the vertex. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
RadialDistRateEndcapPlus2011.png
Radial distribution of the rate Endcap +
Radial distribution of the rate Endcap + RPC Background rate as a function of the instantaneous luminosity. Innermost rings are the most affected. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
RadialDistRateEndcapMin2011.png
Radial distribution of the rate Endcap -
Radial distribution of the rate Endcap - Negative disks show higher rate with respect to the positive, due to the presence of CASTOR on the negative side of CMS. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Rate vs Phi.png
Rate vs Phi Angular distribution Barrel
Rate vs Phi Angular distribution Barrel Background rate on the outermost Barrel RPC station (RB4) for different wheels. The bottom sectors are less affected by neutron background due to the shielding of the cavern floor . cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Rate vs Phi Barrel2.png
Rate vs Phi Angular distribution Barrel
Rate vs Phi Angular distribution Barrel Background rate vs azimuthal angle for different barrel stations of Wheel +1. The asymmetry between top and bottom sectors is evident in the outermost Station RB4. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Rate vs Phi Endcap.png
Rate vs Phi Angular distribution EndCap
Rate vs Phi Angular distribution EndCap Background rate vs azimuthal angle for different endcap stations. No evidence of phi asymmetry in the endcaps. The z-/z+ asymmetry (particularly evident for station 2 of the negative and positive side) is also shown. 2 Chambers working in Single Gap mode (SG) are highlighted with a circular red dot. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Rate vs Lumi Barrel.png
Rate vs Z Longitudinal distribution of the rate Barrel
Rate vs Z Longitudinal distribution of the rate Barrel Overall rate (for all sectors) in wheels +- 1, +-2, station RB4. No significant Z asymmetry in the barrel. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Rate vs Lumi Barrel RB4.png
Rate vs Z Longitudinal distribution of the rate Barrel
Rate vs Z Longitudinal distribution of the rate Barrel Z distribution of the rate for wheels +-1, +-2, station RB4, for the bottom sector 10 only (less occupied barrel sector for RB4). cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Pressure Correction to Operational HV Plots Pressure Correction to Operational HV Plots
Plots Legends
PressureCavern2011.png
HV Working Point Pressure Corrected HV working point is calculated taking into account the pressure variations. HV_effective = HV ∙ Po/P ∙ T/To, Po = 965 mbar, To = 293 K ~1% P variation = ~ 100 V difference. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
PressureCavern176548.png
HV Working Point Pressure Corrected HV working point is calculated taking into account the pressure variations. HV_effective = HV ∙ Po/P ∙ T/To, Po = 965 mbar, To = 293 K ~1% P variation = ~ 100 V difference. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
ClusterSizeVSAtmosphericPressure.png
Cluster Size and Pressure Correlation Plot RPC Barrel cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
ClusterSizeVsPreesureEndcap.png
Cluster Size and Pressure Correlation Plot RPC EndCap cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Event Displays Event Displays
Plots Legends
EventDisplay.png
4 Muons and RPC hits event display Event display with 4 muons, the RPC hits (in black) are shown explicitly. Not all the event content is shown (CSC hits are supressed). cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
MuonMaps.png
2D Efficiency maps, following CMSSW Geometry (Frog) Chambers off are represented in white. Blue and yellow lines are lower efficiency regions due to masked/dead strips. The joints in between double gaps can be seen in yellow as well. Little squares in the corners are just ROOT legends, not an inefficient region. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
EventDisplay 1.png
Example of muon recovered by RPCs cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
EventDisplay 2.png
Example of muon recovered by RPCs cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
EventDisplay 3.png
Example of muon recovered by RPCs cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

History Plots History Plots
Plots Legends
MeanEff2011HistPlot.png
Barrel Efficiency history Plot The plot has been produced with a new method still under validation (a small systematic effect could affect the overall value) Stability with pressure correction is clear. Average Efficiency increased with respect to values previously shown, this new efficiency tool is under validation. Chambers with know Hardware Problems are removed from this plot. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
BarrelClusterSizeHistPlot.png
Barrel Cluster Size History Plot Cluster Size for the Barrel during 2011. The system is more stable after the automatic pressure correction. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
EndcapClusterSizeHistPlot2011.png
Endcap Cluster Size History Plot Cluster Size for the EndCap during 2011. The system is more stable after the automatic pressure correction. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Current HistPlot2011.png
Current History Plot History plot for mean current in a wheel for a given run, the current is correlated to the beam intensity that decreases in time. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Impact of RPC on Muon RECO Impact of RPC on Muon RECO
Plots Legends
EffMuonWithWithoutRPC.png
Efficiency for muon identification with and without rpc When the RPC hits are used (red square) or removed (dots), respectively.cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
RelativeEffMuonIdWithwithougRPC.png
Relative Efficiency for muon identification with and without rpc cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
RatioEffWithAndWithoutRPCValidHits.png
Relative Efficiency for muon identification with and without rpc If we also require a number of Valid hits greater than 0 in the global muon fit the impact of RPC is more evident. Additional requirements with respect to table 2: NumberOfMuonValidHits >0, at Least 2 DT/CSC stations matched. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
RPCHitsDistribution.png
RPC hits distribution in case the muon reconstruction fails when the RPC hits are removed. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

RPC Dark Current Plots RPC Dark Current Plots

RPC Simulation Plots RPC Simulation Plots
Plots Legends
SimulatedEff2011.png
RPC efficiency simulation Data collected in the first part of 2011 have been used to simulate the efficiency in MC. Efficiency distribution for all the RPCs (data in blue, MC in red).cms-dpg-conveners-rpc@cern.ch
SimulatedChamberEff.png
RPC efficiency simulation Data collected in the first part of 2011 have been used to simulate the efficiency in Mc. Example of the efficiency for all the RB3 chambers of the Barrel Wheel+1.cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
RateDistributionNoiseSim.png
RPC noise simulation Intrinsic RPC noise is measured during cosmic runs and used to model the MC response. To each single strip of the system the measured noise is assigned in MC. Intrinsic noise distribution for all the RPCs strips (data in blue, MC in red).cms-dpg-conveners-rpc@cern.ch
RPCChamberNoise.png
RPC noise simulation Intrinsic RPC noise is measured during cosmic runs and used to model the MC response. To each single strip of the system the measured noise is assigned in MC. Example of correlation between simulated and measured noise for all the RB2in chambers of the Barrel Wheel-1.cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
ClusterSizeSimBarrel.png
RPC cluster size simulation Cluster Size of RPC hits is simulated according to the data collected with cosmic rays and used to parametrize the MC. plot: Overall Barrel cluster size for muons crossing RPCs. Cluster Size definition: Number of consecutive strips fired on a Chamber for a given muon crossing.cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Impact of RPC on Local RECO Impact of RPC on Local RECO
Plots Legends
AverageNRPCHitsZDecay.png
Average number of RPC hits For muons coming from Z decay Average number of RPC hits associated to the Global Muons with Pt>20 GeV /c coming from Z decay (small bias due to the selection of the events: requested at least one muon triggered). cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
EtaZDecayRPC.png
Average number of RPC hits For muons coming from Z decay Average number of RPC hits as function of eta for Global Muons with Pt>20 GeV /c coming from Z decay cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
PhiRPCHitsZDecay.png
Average number of RPC hits For muons coming from Z decay Average number of hits as function of phi in different CMS regions for Global Muons with Pt>20 GeV /c coming from Z decay. Oscillations in the efficiency vs phi of the barrel distribution are due to the cracks between adjacent sectors. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Plots approved in 2011

Show plots Show plots

Performance of the CMS Resistive Plate Chambers (RPC) in 2010

  • Plots approved for the Vienna Conference on Instrumentation (VCI) 2011
  • CMS-DP-2011-XXX ; CERN-CMS-DP-2011-XXX ; CDS Record XXXXXXX
  • *Full Information available in approval slides in .pdf and .ppt format
  • Run Coordination Meeting XX/03/2011 Indico :: XXXXX
  • RPC DPG Meeting 10/03/2011 Indico :: 130612
RPC Performance RPC Performance
Plots Legends
BarrelDQMEff.png
Efficiency summary for the Barrel
Efficiency for the Barrel detector units for the 5 Barrel Wheels. Efficiencies are calculated with the segment extrapolation method on data taken during the Run2012B period with the RPC Monitor Stream (60M events, HV barrel = 9350V). About 2% of the chambers were affected by electronics problems, while about 1% of the chambers were operated in single-gap mode (resulting in reduced efficiency). cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
EndcapDQMEff.png
Efficiency summary for the Endcap
Efficiency for the Endcap detector units for the 6 Endcap Disks. Efficiencies are calculated with the segment extrapolation method on data taken during the Run2012B period with the RPC Monitor Stream (60M events, HV endcap = 9550V). About 2% of the chambers were affected by electronics problems, while about 5% of the chambers were operated in single-gap mode (resulting in reduced efficiency). cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
Eff.png
Efficiency Distributions
Efficiency distribution for the Barrel (left) and Endcap (right). Efficiencies are calculated with the segment extrapolation method on data taken during the Run2012B period with the RPC Monitor Stream (60M events,HV barrel = 9350V, HV endcap = 9350V). Detector units (rolls) with known problems have been removed from the distribution (3% in the barrel, 7% in the endcap). cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
CLSBarrel.png
Clustersize Barrel
Clustersize distribution for the Barrel for the different stripwidths. The clustersize distributions are calculated using muons from W and Z decays in full 2010 data. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
CLSEcap.png
Clustersize Endcap
Clustersize distributions for the Endcap for the different stripwidths. The clustersize distributions are calculated using muons from W and Z decays in full 2010 data. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
ResidualBarrel.png
Residuals Barrel
The distribution of the Residuals for the Barrel for the different stripwidths. The residuals are calculated using muons from W and Z decays in full 2010 data. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch
ResidualEcap.png
Residuals Endcap
The distribution of the Residuals for the Endcap for the different stripwidths. The residuals are calculated using muons from W and Z decays in full 2010 data. cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

RPC DPG Published Results in Journals

The performance of the CMS muon detector in proton-proton collisions at sqrt{s} = 7 TeV at the LHC
The compact muon solenoid RPC barrel detector




Responsible: RoumyanaHadjiiska

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PNGpng 2.png r1 manage 46.4 K 2015-07-28 - 14:46 MeharAliShah  
PNGpng 20.png r1 manage 39.6 K 2015-07-28 - 14:47 MeharAliShah  
PNGpng 2010EffDist.png r1 manage 86.0 K 2013-10-02 - 18:32 AlbertoOcampo  
PNGpng 2012_Efficiency_Distribution.png r1 manage 73.7 K 2014-02-18 - 16:37 AlbertoOcampo  
PDFpdf 2012_RunA_D_Efficiency.pdf r1 manage 160.6 K 2013-10-29 - 10:21 JiwoongSEO Run2012A and D data efficiency Leaky and all chambers
PNGpng 2012_RunA_D_Efficiency.png r1 manage 151.1 K 2013-10-29 - 10:21 JiwoongSEO Run2012A and D data efficiency Leaky and all chambers
PDFpdf 2012_RunA_D_Efficiency_Logscale.pdf r1 manage 107.2 K 2013-10-29 - 10:22 JiwoongSEO Run2012A and D data efficiency leaky and all chambers Log scale
PNGpng 2012_RunA_D_Efficiency_Logscale.png r1 manage 101.0 K 2013-10-29 - 10:22 JiwoongSEO Run2012A and D data efficiency leaky and all chambers Log scale
PNGpng 20131113_All_imax_Currents_at_9600V.png r1 manage 14.6 K 2013-11-24 - 04:33 IsaPedraza 20131113 All imax Currents at 9600V
PNGpng 20131114_AnalogCurrent.png r1 manage 17.4 K 2013-11-24 - 14:19 IsaPedraza  
PNGpng 20131114_DigitalCurrent.png r1 manage 16.0 K 2013-11-24 - 14:16 IsaPedraza  
PDFpdf 20131114_ElectricalTest.pdf r1 manage 96.9 K 2013-11-24 - 14:16 IsaPedraza  
PDFpdf 20131114_GasLeak.pdf r1 manage 102.8 K 2013-11-24 - 14:16 IsaPedraza  
PNGpng 20131114_GasLeak01.png r1 manage 22.3 K 2013-11-24 - 14:16 IsaPedraza  
PNGpng 20131114_GasLeak02.png r1 manage 19.8 K 2013-11-24 - 14:16 IsaPedraza  
PDFpdf 20131114_HVScanTest.pdf r1 manage 84.0 K 2013-11-24 - 14:16 IsaPedraza  
PNGpng 20131114_HVscantest.png r1 manage 16.0 K 2013-11-24 - 14:16 IsaPedraza  
PDFpdf 20131114_StabilityHVtest.pdf r1 manage 129.3 K 2013-11-24 - 14:16 IsaPedraza  
PNGpng 20131115_All_imax_Currents_at_9600V.png r1 manage 21.4 K 2013-11-24 - 14:16 IsaPedraza  
PNGpng 20131115_SomeCurrents_at_9600V.png r1 manage 58.2 K 2013-11-24 - 14:16 IsaPedraza  
PDFpdf 2013_Leakrate_W-2.pdf r1 manage 20.8 K 2013-10-29 - 10:22 JiwoongSEO 2013 Leakrate plots of Wheel -2
PNGpng 2013_Leakrate_W-2.png r1 manage 15.0 K 2013-10-29 - 10:22 JiwoongSEO 2013 Leakrate plots of Wheel -2
PDFpdf 2013_Leakrate_W-2_Histogram.pdf r1 manage 78.6 K 2013-10-29 - 10:23 JiwoongSEO 2013 distribution of leak rate for wheel -2
PNGpng 2013_Leakrate_W-2_Histogram.png r1 manage 71.1 K 2013-10-29 - 10:23 JiwoongSEO 2013 distribution of leak rate for wheel -2
PDFpdf 2013_Pressure_Log.pdf r1 manage 115.0 K 2013-10-29 - 10:23 JiwoongSEO 2013 Pressure Log Examples from PicoLog
PNGpng 2013_Pressure_Log.png r1 manage 105.9 K 2013-10-29 - 10:23 JiwoongSEO 2013 Pressure Log Examples from PicoLog
PNGpng 21.png r1 manage 42.6 K 2015-07-28 - 14:47 MeharAliShah  
PNGpng 22.png r1 manage 31.5 K 2015-07-28 - 14:47 MeharAliShah  
PNGpng 23.png r1 manage 83.1 K 2015-07-28 - 14:47 MeharAliShah  
PNGpng 3.png r1 manage 42.2 K 2015-07-28 - 14:46 MeharAliShah  
PNGpng 4.png r1 manage 48.4 K 2015-07-28 - 14:46 MeharAliShah  
PNGpng 5.png r1 manage 45.8 K 2015-07-28 - 14:46 MeharAliShah  
PNGpng 6.png r1 manage 48.0 K 2015-07-28 - 14:46 MeharAliShah  
PNGpng 7.png r1 manage 51.2 K 2015-07-28 - 14:46 MeharAliShah  
PNGpng 8.png r1 manage 86.7 K 2015-07-28 - 14:46 MeharAliShah  
PNGpng 9.png r1 manage 47.6 K 2015-07-28 - 14:46 MeharAliShah  
PNGpng AverageNRPCHitsZDecay.png r1 manage 96.9 K 2013-10-01 - 14:53 AlbertoOcampo  
PNGpng BarrelClusterSizeHistPlot.png r1 manage 61.9 K 2013-10-01 - 13:27 AlbertoOcampo  
PNGpng BarrelDQMEff.png r1 manage 229.5 K 2014-04-29 - 14:55 PietVerwilligen  
PNGpng BarrelNoise_10_12.png r5 r4 r3 r2 r1 manage 44.0 K 2014-02-19 - 14:24 MirchoRodozov  
PNGpng Barrel_207885_cmsprelim.png r1 manage 50.4 K 2016-02-12 - 18:20 RoumyanaHadjiiska  
PNGpng Barrel_260593_cmsprelim_corr3.png r1 manage 64.3 K 2016-02-12 - 18:20 RoumyanaHadjiiska  
PNGpng Barrel_current_plot.png r2 r1 manage 34.7 K 2014-02-24 - 10:52 PietVerwilligen  
PNGpng Barrel_current_ratio_plot.png r2 r1 manage 59.8 K 2014-02-24 - 10:52 PietVerwilligen  
PNGpng Barrel_phi_RB4.png r1 manage 35.5 K 2014-02-22 - 11:46 PietVerwilligen  
PNGpng Barrel_phi_W-1.png r1 manage 30.4 K 2014-02-22 - 11:46 PietVerwilligen  
PNGpng CLSBarrel.png r1 manage 431.3 K 2014-04-29 - 14:55 PietVerwilligen  
PNGpng CLSEcap.png r1 manage 509.7 K 2014-04-29 - 14:55 PietVerwilligen  
PNGpng CSDistribution_2011.png r1 manage 96.9 K 2013-09-30 - 18:03 AlbertoOcampo  
PNGpng CS_vs_Pressure.png r1 manage 72.4 K 2013-09-30 - 17:41 AlbertoOcampo  
PNGpng CSvsWP_Single.png r1 manage 24.4 K 2019-05-21 - 17:25 MateoRamirezGarcia  
PNGpng Cavern_Pressure.png r1 manage 125.4 K 2014-02-22 - 12:29 PietVerwilligen  
PNGpng ChamberTemp.png r1 manage 21.0 K 2013-10-01 - 17:08 AlbertoOcampo  
PNGpng ClusterSizeSimBarrel.png r1 manage 48.2 K 2013-10-01 - 14:33 AlbertoOcampo  
PNGpng ClusterSizeVSAtmosphericPressure.png r1 manage 31.9 K 2013-10-01 - 13:02 AlbertoOcampo  
PNGpng ClusterSizeVsPreesureEndcap.png r1 manage 32.1 K 2013-10-01 - 13:12 AlbertoOcampo  
PNGpng Current_HistPlot2011.png r1 manage 89.4 K 2013-10-01 - 17:08 AlbertoOcampo  
PNGpng D1_ecap_ratevsphi.png r1 manage 37.9 K 2014-02-22 - 11:46 PietVerwilligen  
PNGpng D2_ecap_ratevsphi.png r1 manage 36.2 K 2014-02-22 - 11:46 PietVerwilligen  
PNGpng D3_ecap_ratevsphi.png r1 manage 39.6 K 2014-02-22 - 11:46 PietVerwilligen  
PNGpng DarkCurrentvsLumi.png r1 manage 318.0 K 2013-10-01 - 11:36 AlbertoOcampo  
PNGpng Disk-1_204577.png r7 r6 r5 r4 r3 manage 13.7 K 2014-02-21 - 20:41 MirchoRodozov  
PNGpng Disk-2_204577.png r1 manage 13.8 K 2014-02-22 - 11:49 PietVerwilligen  
PNGpng Disk-3_204577.png r1 manage 13.8 K 2014-02-22 - 11:49 PietVerwilligen  
PNGpng Disk1_204577.png r1 manage 13.8 K 2014-02-22 - 11:49 PietVerwilligen  
PNGpng Disk2_204577.png r1 manage 14.0 K 2014-02-22 - 11:40 PietVerwilligen  
PNGpng Disk3_204577.png r1 manage 13.9 K 2014-02-22 - 11:49 PietVerwilligen  
PNGpng Disks1_BK.png r1 manage 29.6 K 2014-02-22 - 11:49 PietVerwilligen  
PNGpng Disks2_BK.png r1 manage 29.3 K 2014-02-22 - 11:49 PietVerwilligen  
PNGpng Disks3_BK.png r1 manage 33.5 K 2014-02-22 - 11:49 PietVerwilligen  
PNGpng EcapNoise_10_12.png r5 r4 r3 r2 r1 manage 41.7 K 2014-02-19 - 14:24 MirchoRodozov  
PNGpng Eff.png r1 manage 267.3 K 2014-04-29 - 14:55 PietVerwilligen  
PNGpng EffDistri2011.png r1 manage 40.5 K 2013-09-30 - 22:54 AlbertoOcampo  
PNGpng EffEtaRPCEffect.png r1 manage 53.1 K 2013-09-30 - 23:17 AlbertoOcampo  
PNGpng EffEtaRPCEffect7GeV.png r1 manage 49.6 K 2013-09-30 - 23:22 AlbertoOcampo  
PNGpng EffMuonWithWithoutRPC.png r1 manage 73.8 K 2013-10-01 - 15:22 AlbertoOcampo  
PNGpng EffPhiRPCEffect.png r1 manage 50.7 K 2013-09-30 - 23:30 AlbertoOcampo  
PNGpng EffPhiRPCEffect7GeV.png r1 manage 52.1 K 2013-09-30 - 23:29 AlbertoOcampo  
PNGpng EffRPCEffect.png r1 manage 51.4 K 2013-09-30 - 23:06 AlbertoOcampo  
PNGpng Eff_2-3-5_Double.png r1 manage 22.9 K 2019-05-21 - 17:25 MateoRamirezGarcia  
PNGpng Eff_2-3-5_Single.png r1 manage 23.5 K 2019-05-21 - 17:25 MateoRamirezGarcia  
PNGpng Eff_3-4_Double.png r1 manage 19.8 K 2019-05-21 - 17:25 MateoRamirezGarcia  
PNGpng Eff_3-4_Single.png r1 manage 20.3 K 2019-05-21 - 17:25 MateoRamirezGarcia  
PNGpng Eff_All_Double.png r1 manage 30.0 K 2019-05-21 - 17:25 MateoRamirezGarcia  
PNGpng Eff_All_Single.png r1 manage 28.7 K 2019-05-21 - 17:25 MateoRamirezGarcia  
PNGpng Eff_RollvsSector_Disk-1_2012.png r6 r5 r4 r3 r2 manage 15.2 K 2014-02-17 - 12:57 PietVerwilligen  
PNGpng Eff_RollvsSector_Disk-2_2012.png r4 r3 r2 r1 manage 18.1 K 2014-02-17 - 12:57 PietVerwilligen  
PNGpng Eff_RollvsSector_Disk-3_2012.png r7 r6 r5 r4 r3 manage 18.9 K 2014-02-17 - 12:57 PietVerwilligen  
PNGpng Eff_RollvsSector_Disk1_2012.png r7 r6 r5 r4 r3 manage 15.2 K 2014-02-17 - 12:57 PietVerwilligen  
PNGpng Eff_RollvsSector_Disk2_2012.png r4 r3 r2 r1 manage 18.3 K 2014-02-17 - 12:57 PietVerwilligen  
PNGpng Eff_RollvsSector_Disk3_2012.png r4 r3 r2 r1 manage 18.9 K 2014-02-17 - 12:57 PietVerwilligen  
PNGpng Eff_RollvsSector_Wheel-1_2012.png r9 r8 r7 r6 r5 manage 20.6 K 2014-02-17 - 13:13 PietVerwilligen  
PNGpng Eff_RollvsSector_Wheel-2_2012.png r8 r7 r6 r5 r4 manage 20.8 K 2014-02-17 - 13:13 PietVerwilligen  
PNGpng Eff_RollvsSector_Wheel0_2012.png r8 r7 r6 r5 r4 manage 20.5 K 2014-02-17 - 13:13 PietVerwilligen  
PNGpng Eff_RollvsSector_Wheel1_2012.png r7 r6 r5 r4 r3 manage 20.6 K 2014-02-17 - 13:13 PietVerwilligen  
PNGpng Eff_RollvsSector_Wheel2_2012.png r8 r7 r6 r5 r4 manage 20.5 K 2014-02-17 - 13:13 PietVerwilligen  
PNGpng EndcapClusterSizeHistPlot2011.png r1 manage 63.0 K 2013-10-01 - 13:35 AlbertoOcampo  
PNGpng EndcapDQMEff.png r1 manage 102.0 K 2014-04-29 - 14:55 PietVerwilligen  
PNGpng Endcap_207885_cmsprelim.png r1 manage 41.0 K 2016-02-12 - 18:20 RoumyanaHadjiiska  
PNGpng Endcap_260593_cmsprelim.png r1 manage 59.7 K 2016-02-12 - 18:20 RoumyanaHadjiiska  
PNGpng EtaZDecayRPC.png r1 manage 47.5 K 2013-10-01 - 15:06 AlbertoOcampo  
PNGpng EventDisplay.png r1 manage 82.2 K 2013-10-01 - 13:49 AlbertoOcampo  
PNGpng EventDisplay_1.png r1 manage 118.5 K 2013-10-01 - 16:15 AlbertoOcampo  
PNGpng EventDisplay_2.png r1 manage 112.5 K 2013-10-01 - 16:15 AlbertoOcampo  
PNGpng EventDisplay_3.png r1 manage 104.1 K 2013-10-01 - 16:15 AlbertoOcampo  
PNGpng G4process_RPC_neutron2.png r1 manage 203.2 K 2014-10-14 - 11:12 PietVerwilligen  
PNGpng G4process_RPC_photon2.png r1 manage 207.5 K 2014-10-14 - 11:12 PietVerwilligen  
PNGpng HVScan2012.png r2 r1 manage 102.9 K 2013-09-30 - 17:07 AlbertoOcampo  
PNGpng HVScanBarrelEndcap.png r1 manage 51.0 K 2013-09-30 - 22:42 AlbertoOcampo  
PNGpng HVScan_50PercMaxEff.png r1 manage 37.1 K 2013-09-30 - 22:47 AlbertoOcampo  
PNGpng HVScan_CS.png r1 manage 74.6 K 2013-09-30 - 17:32 AlbertoOcampo  
PNGpng HistPlot2011_2012_EffBarrel.png r1 manage 250.1 K 2013-09-30 - 17:21 AlbertoOcampo  
PNGpng History_CLS_Barrel.png r2 r1 manage 176.6 K 2014-02-20 - 14:44 AlbertoOcampo  
PNGpng History_CLS_Endcap.png r2 r1 manage 155.0 K 2014-02-20 - 14:44 AlbertoOcampo  
PNGpng History_Efficiency_Barrel.png r2 r1 manage 189.3 K 2014-02-20 - 14:44 AlbertoOcampo  
PNGpng History_Efficiency_Endcap.png r1 manage 186.8 K 2014-02-21 - 18:43 PietVerwilligen  
PNGpng HyunkwanSeoPlots.png r1 manage 38.3 K 2013-09-30 - 23:11 AlbertoOcampo  
PNGpng InactiveChannels.png r1 manage 33.7 K 2014-02-19 - 03:16 MirchoRodozov  
PNGpng InactiveChannelsBarrel.png r1 manage 133.6 K 2013-09-30 - 18:06 AlbertoOcampo  
PNGpng Inactive_channels_2015.png r1 manage 21.5 K 2016-02-12 - 18:20 RoumyanaHadjiiska  
PNGpng MeanCurrent.png r1 manage 59.5 K 2013-10-01 - 17:08 AlbertoOcampo  
PNGpng MeanEff2011HistPlot.png r1 manage 46.7 K 2013-10-01 - 13:19 AlbertoOcampo  
PNGpng MuonIdEfficiency.png r1 manage 64.1 K 2013-09-30 - 15:53 AlbertoOcampo Muon Id Eff
PNGpng MuonMaps.png r1 manage 525.2 K 2013-10-01 - 13:54 AlbertoOcampo  
PNGpng PhiRPCHitsZDecay.png r1 manage 89.3 K 2013-10-01 - 15:10 AlbertoOcampo  
PNGpng Plot_3HVScans.png r4 r3 r2 r1 manage 73.3 K 2014-02-18 - 17:08 AlbertoOcampo  
PNGpng Plot_ComulativeORvsFluence_220mV_nuovo.png r1 manage 24.5 K 2014-10-14 - 11:12 PietVerwilligen  
PNGpng Plot_RatevsTime_220mV.png r1 manage 18.3 K 2014-10-14 - 11:12 PietVerwilligen  
PNGpng Plot_resistivity_RPC7.png r1 manage 39.3 K 2014-10-14 - 11:12 PietVerwilligen  
PNGpng Plot_sigma_rate_method_nuovo.png r1 manage 47.0 K 2014-10-14 - 11:12 PietVerwilligen  
PNGpng Plot_sigma_slope_method_nuovo.png r1 manage 20.6 K 2014-10-14 - 11:12 PietVerwilligen  
PNGpng PressureCavern176548.png r1 manage 77.8 K 2013-10-01 - 11:47 AlbertoOcampo  
PNGpng PressureCavern2011.png r1 manage 142.2 K 2013-10-01 - 11:47 AlbertoOcampo  
PNGpng Pulse_CMS_Mix3.png r1 manage 39.0 K 2019-05-21 - 17:35 MateoRamirezGarcia  
PNGpng RBBackRates.png r1 manage 62.9 K 2013-09-30 - 16:42 AlbertoOcampo  
PNGpng RE1_sensitivity2.png r1 manage 121.3 K 2014-10-14 - 11:12 PietVerwilligen  
PNGpng REBackRates.png r1 manage 62.2 K 2013-09-30 - 16:50 AlbertoOcampo  
PNGpng RPCChamberNoise.png r1 manage 41.3 K 2013-10-01 - 14:23 AlbertoOcampo  
PNGpng RPCHitsDistribution.png r1 manage 106.1 K 2013-10-01 - 16:09 AlbertoOcampo  
Unknown file formatpptx RPCPlotApproval_final.pptx r1 manage 3920.9 K 2014-04-29 - 14:55 PietVerwilligen  
PNGpng RPC_Acceptance_Efficiency_2011.png r1 manage 112.1 K 2014-01-15 - 02:52 PietVerwilligen RPC Acceptance Efficiency 2011 from L1TriggerDPGResults Twiki
PNGpng RPC_Full_Trigger_Efficiency_2011.png r1 manage 144.6 K 2014-01-15 - 02:53 PietVerwilligen RPC Trigger Efficiency 2011 from L1TriggerDPGResults Twiki
PNGpng RPC_Geometry.png r2 r1 manage 287.5 K 2014-02-12 - 16:17 PietVerwilligen  
PNGpng RPC_Hit_Timing_2011.png r1 manage 274.7 K 2014-01-15 - 02:54 PietVerwilligen RPC Hit Timing 2011 from L1TriggerDPGResults Twiki
PNGpng RPC_Occupancy_DN1.png r1 manage 27.2 K 2014-02-12 - 12:03 PietVerwilligen  
PNGpng RPC_Occupancy_DN2.png r1 manage 27.3 K 2014-02-12 - 12:03 PietVerwilligen  
PNGpng RPC_Occupancy_DN3.png r1 manage 27.3 K 2014-02-12 - 12:03 PietVerwilligen  
PNGpng RPC_Occupancy_DP1.png r1 manage 27.0 K 2014-02-12 - 12:03 PietVerwilligen  
PNGpng RPC_Occupancy_DP2.png r1 manage 27.3 K 2014-02-12 - 12:03 PietVerwilligen  
PNGpng RPC_Occupancy_DP3.png r1 manage 27.3 K 2014-02-12 - 12:03 PietVerwilligen  
PNGpng RPC_Occupancy_WN1.png r1 manage 19.9 K 2014-02-12 - 12:03 PietVerwilligen  
PNGpng RPC_Occupancy_WN2.png r1 manage 20.1 K 2014-02-12 - 12:03 PietVerwilligen  
PNGpng RPC_Occupancy_WP0.png r1 manage 20.1 K 2014-02-12 - 12:03 PietVerwilligen  
PNGpng RPC_Occupancy_WP1.png r1 manage 20.0 K 2014-02-12 - 12:03 PietVerwilligen  
PNGpng RPC_Occupancy_WP2.png r1 manage 20.1 K 2014-02-12 - 12:04 PietVerwilligen  
PNGpng RPC_PAC_Efficiency_2011.png r1 manage 159.6 K 2014-01-15 - 02:54 PietVerwilligen RPC PAC Efficiency 2011 from L1TriggerDPGResults Twiki
PNGpng RPC_PAC_Timing_2011.png r1 manage 81.2 K 2014-01-15 - 02:55 PietVerwilligen RPC PAC Timing 2011 from L1TriggerDPGResults Twiki
PNGpng RadialDistRateEndcapMin2011.png r1 manage 72.2 K 2013-10-01 - 16:27 AlbertoOcampo  
PNGpng RadialDistRateEndcapPlus2011.png r1 manage 75.8 K 2013-10-01 - 16:27 AlbertoOcampo  
PNGpng RadialDistributionRateBarrel2011.png r1 manage 86.5 K 2013-10-01 - 16:27 AlbertoOcampo  
PNGpng RateDistributionNoiseSim.png r1 manage 76.0 K 2013-10-01 - 14:23 AlbertoOcampo  
PNGpng Rate_Barrel_Endcap_2011.png r1 manage 127.1 K 2014-02-22 - 11:36 PietVerwilligen  
PNGpng Rate_Barrel_Endcap_2012.png r1 manage 50.2 K 2014-02-22 - 11:36 PietVerwilligen  
PNGpng Rate_vs_Lumi_Barrel.png r1 manage 96.4 K 2013-10-01 - 17:08 AlbertoOcampo  
PNGpng Rate_vs_Lumi_Barrel_RB4.png r1 manage 119.6 K 2013-10-01 - 17:08 AlbertoOcampo  
PNGpng Rate_vs_Phi.png r1 manage 44.0 K 2013-10-01 - 16:40 AlbertoOcampo  
PNGpng Rate_vs_Phi_Barrel2.png r1 manage 71.3 K 2013-10-01 - 16:40 AlbertoOcampo  
PNGpng Rate_vs_Phi_Endcap.png r1 manage 68.6 K 2013-10-01 - 16:40 AlbertoOcampo  
PNGpng RatioEffWithAndWithoutRPCValidHits.png r1 manage 63.0 K 2013-10-01 - 15:58 AlbertoOcampo  
PNGpng RelativeEffMuonIdWithwithougRPC.png r1 manage 81.6 K 2013-10-01 - 15:49 AlbertoOcampo  
PNGpng ResidualBarrel.png r1 manage 622.9 K 2014-04-29 - 14:55 PietVerwilligen  
PNGpng ResidualEcap.png r1 manage 723.2 K 2014-04-29 - 14:55 PietVerwilligen  
PNGpng Run251562_lumi565_495142910.png r1 manage 291.9 K 2015-07-28 - 14:51 MeharAliShah  
PNGpng SimulatedChamberEff.png r1 manage 43.9 K 2013-10-01 - 14:02 AlbertoOcampo  
PNGpng SimulatedEff2011.png r1 manage 69.5 K 2013-10-01 - 14:01 AlbertoOcampo  
PNGpng StrProb.png r1 manage 27.4 K 2019-05-21 - 17:25 MateoRamirezGarcia  
PNGpng StrProb_Single.png r1 manage 26.2 K 2019-05-21 - 17:25 MateoRamirezGarcia  
PNGpng SystemNoise_10_12.png r5 r4 r3 r2 r1 manage 42.1 K 2014-02-19 - 14:24 MirchoRodozov  
PNGpng System_ratevslumi2015_corr1.png r1 manage 26.1 K 2016-02-12 - 18:20 RoumyanaHadjiiska  
PNGpng WBM1.png r1 manage 123.4 K 2014-02-22 - 12:29 PietVerwilligen  
PNGpng WBM2.png r1 manage 158.8 K 2014-02-22 - 12:31 PietVerwilligen  
PNGpng WBM3.png r1 manage 28.9 K 2014-02-22 - 12:29 PietVerwilligen  
PNGpng WBM4.png r1 manage 122.0 K 2014-02-22 - 12:29 PietVerwilligen  
PNGpng WBM5.png r1 manage 152.0 K 2014-02-22 - 12:37 PietVerwilligen  
PNGpng WPcluster.png r1 manage 24.3 K 2019-05-21 - 17:25 MateoRamirezGarcia  
PNGpng Wheel-1_204577.png r1 manage 18.0 K 2014-02-22 - 11:59 PietVerwilligen  
PNGpng Wheel-2_204577.png r1 manage 18.0 K 2014-02-22 - 11:59 PietVerwilligen  
PNGpng Wheel0_204577.png r1 manage 17.6 K 2014-02-22 - 11:59 PietVerwilligen  
PNGpng Wheel1_204577.png r1 manage 17.9 K 2014-02-22 - 11:59 PietVerwilligen  
PNGpng Wheel2_204577.png r1 manage 18.0 K 2014-02-22 - 11:59 PietVerwilligen  
PNGpng barrel_W-1.png r1 manage 43.8 K 2014-02-22 - 11:46 PietVerwilligen  
PNGpng barrel_W-2.png r1 manage 38.6 K 2014-02-22 - 11:46 PietVerwilligen  
PNGpng barrel_W1.png r1 manage 41.9 K 2014-02-22 - 11:46 PietVerwilligen  
PNGpng barrel_W2.png r1 manage 40.6 K 2014-02-22 - 11:46 PietVerwilligen  
PNGpng barrel_eff_history_time_vr.png r1 manage 23.7 K 2016-02-12 - 18:31 RoumyanaHadjiiska  
PNGpng carica_sovrapposti_empty.png r1 manage 21.2 K 2014-10-14 - 11:20 PietVerwilligen  
PNGpng charge.png r1 manage 20.3 K 2014-10-14 - 11:20 PietVerwilligen  
PNGpng cls_4endcaps.png r1 manage 22.7 K 2016-01-19 - 13:36 BorislavPavlov  
PNGpng cls_barrel.png r1 manage 23.5 K 2016-01-19 - 13:36 BorislavPavlov  
PNGpng cls_endcaps.png r1 manage 21.0 K 2016-01-19 - 13:36 BorislavPavlov  
PNGpng cluster_size.png r1 manage 166.9 K 2014-02-08 - 23:28 StefanoColafranceschi  
PNGpng cluster_size2_bis.png r1 manage 156.7 K 2014-02-22 - 11:59 PietVerwilligen  
PNGpng cosmicRateHistory.png r1 manage 37.5 K 2016-02-20 - 00:55 RoumyanaHadjiiska  
PNGpng current_total3.png r1 manage 291.8 K 2014-02-22 - 11:59 PietVerwilligen  
PNGpng d-1.png r1 manage 26.6 K 2016-02-12 - 18:21 RoumyanaHadjiiska  
PNGpng d-2.png r1 manage 33.1 K 2016-02-12 - 18:21 RoumyanaHadjiiska  
PNGpng d-3.png r1 manage 34.2 K 2016-02-12 - 18:21 RoumyanaHadjiiska  
PNGpng d-4.png r1 manage 34.4 K 2016-02-12 - 18:21 RoumyanaHadjiiska  
PNGpng d1.png r1 manage 26.5 K 2016-02-12 - 18:21 RoumyanaHadjiiska  
PNGpng d2.png r1 manage 32.9 K 2016-02-12 - 18:21 RoumyanaHadjiiska  
PNGpng dp3.png r1 manage 34.0 K 2016-02-12 - 18:21 RoumyanaHadjiiska  
PNGpng dp4.png r1 manage 34.2 K 2016-02-12 - 18:21 RoumyanaHadjiiska  
PNGpng eff_endcape4.png r1 manage 21.6 K 2016-01-19 - 13:36 BorislavPavlov  
PNGpng eff_history_disks123.png r1 manage 593.6 K 2016-02-20 - 00:55 RoumyanaHadjiiska  
PNGpng efficiency2.png r1 manage 125.1 K 2014-02-08 - 23:28 StefanoColafranceschi  
PNGpng efficiency2_bis.png r1 manage 119.4 K 2014-02-22 - 11:59 PietVerwilligen  
PNGpng endcapAll_eff_history_time_vr.png r1 manage 26.4 K 2016-02-12 - 18:35 RoumyanaHadjiiska  
PNGpng endcapRE4_eff_history_time_vr.png r1 manage 24.5 K 2016-02-12 - 18:35 RoumyanaHadjiiska  
PNGpng gas_leak_total3.png r1 manage 748.0 K 2014-02-22 - 11:59 PietVerwilligen  
PNGpng hv50_2.png r2 r1 manage 149.4 K 2014-02-22 - 12:30 PietVerwilligen  
PNGpng hv50_b_or.png r1 manage 25.3 K 2016-02-20 - 00:17 RoumyanaHadjiiska HV50 and WP comparison 2011, 2012, 2015
PNGpng hv50_e_or.png r1 manage 25.9 K 2016-02-20 - 00:17 RoumyanaHadjiiska HV50 and WP comparison 2011, 2012, 2015
PNGpng hv50_history.png r1 manage 21.2 K 2016-02-20 - 00:28 RoumyanaHadjiiska HV scan history for HV50 and WP 2011, 2012, 2015
PNGpng occupancy_d-1.png r1 manage 37.2 K 2016-01-19 - 10:13 BorislavPavlov  
PNGpng occupancy_d-2.png r1 manage 36.9 K 2016-01-19 - 10:13 BorislavPavlov  
PNGpng occupancy_d-3.png r1 manage 36.4 K 2016-01-19 - 10:13 BorislavPavlov  
PNGpng occupancy_d-4.png r1 manage 36.7 K 2016-01-19 - 10:13 BorislavPavlov  
PNGpng occupancy_d1.png r1 manage 37.5 K 2016-01-19 - 10:13 BorislavPavlov  
PNGpng occupancy_d2.png r1 manage 38.1 K 2016-01-19 - 10:13 BorislavPavlov  
PNGpng occupancy_d3.png r1 manage 37.9 K 2016-01-19 - 10:13 BorislavPavlov  
PNGpng occupancy_d4.png r1 manage 38.0 K 2016-01-19 - 10:13 BorislavPavlov  
PNGpng occupancy_w-1.png r1 manage 36.1 K 2016-01-19 - 10:13 BorislavPavlov  
PNGpng occupancy_w-2.png r1 manage 36.0 K 2016-01-19 - 10:13 BorislavPavlov  
PNGpng occupancy_w0.png r1 manage 36.2 K 2016-01-19 - 10:13 BorislavPavlov  
PNGpng occupancy_w1.png r1 manage 37.1 K 2016-01-19 - 10:13 BorislavPavlov  
PNGpng occupancy_w2.png r1 manage 37.6 K 2016-01-19 - 10:13 BorislavPavlov  
PNGpng profile2D_REm1_R2_CH10_B_WGM.png r1 manage 15.9 K 2016-02-12 - 18:20 RoumyanaHadjiiska  
PNGpng profile2D_Wm1_RB1in_S08_B_WGM.png r1 manage 31.8 K 2016-02-12 - 18:20 RoumyanaHadjiiska  
PNGpng profile2D_Wp1_RB1out_S12_F_WGM.png r1 manage 23.3 K 2016-02-12 - 18:20 RoumyanaHadjiiska  
PDFpdf rpcPlotsMarch2011.pdf r1 manage 4691.0 K 2014-04-29 - 14:55 PietVerwilligen  
PNGpng slope50.png r1 manage 147.1 K 2014-02-22 - 12:30 PietVerwilligen  
PNGpng w0.png r1 manage 31.1 K 2016-02-12 - 18:21 RoumyanaHadjiiska  
PNGpng wm1.png r1 manage 31.2 K 2016-02-12 - 18:21 RoumyanaHadjiiska  
PNGpng wm2.png r1 manage 31.5 K 2016-02-12 - 18:21 RoumyanaHadjiiska  
PNGpng working_point.png r1 manage 156.2 K 2014-02-22 - 12:32 PietVerwilligen  
PNGpng wp1.png r1 manage 31.1 K 2016-02-12 - 18:21 RoumyanaHadjiiska  
PNGpng wp2.png r1 manage 31.3 K 2016-02-12 - 18:21 RoumyanaHadjiiska  
PNGpng wp_b_or.png r1 manage 25.9 K 2016-02-20 - 00:17 RoumyanaHadjiiska HV50 and WP comparison 2011, 2012, 2015
PNGpng wp_e_or.png r1 manage 25.4 K 2016-02-20 - 00:17 RoumyanaHadjiiska HV50 and WP comparison 2011, 2012, 2015
PNGpng wp_history.png r1 manage 22.8 K 2016-02-20 - 00:28 RoumyanaHadjiiska HV scan history for HV50 and WP 2011, 2012, 2015
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Topic revision: r50 - 2022-07-26 - AndresCabrera
 
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