-- RoumyanaHadjiiska - 2018-01-29

RPC Performance results for 2017

The inclusion of RPC only segments in the Barrel Muon Track Finder

The inclusion of RPC only segments in Twinmux for the Barrel Muon Track Finder:

Currently there are 3 types of trigger primitives seeding the L1 Barrel Muon Track Finder. For more details [1]:

  • DT+RPC segments (in all 4 stations, RPCs are used to complement low quality DT segments);
  • DT-only segments (in all 4 stations, containing only DT information);
  • RPC-only segments (in MB1 and MB2 where two RPC layers are present per station, a linear fit between the inner and outer layer is done to measure the phi direction and the bending of the muon candidate );

On November 3, 2017 during the LHC fill 6360 and from the run number 306121 RPC-only segments were enable to trigger. In this document we show the impact of the RPC-only segments in the Barrel Muon Track Finder efficiency performance. The efficiency measurement was done with Tag and Probe cut and count following the Muon POG working point recommendations (tight ID and Particle Flow isolation requirements more details can be found in [2]). The used dataset was ZMuMu corresponding to each period. These primitives can be combined in a logical OR in the following slides we compare DT+RPC or DT-only w.r.t DT+RPC or DT-only or RPC-only .

Figures

cmsQuadrant.png CMS quadrant plot. pdf file. Contact: Muon DPG: office cms-muon-DPGO@cernSPAMNOTNOSPAMPLEASE.ch, L1 DPG: cms-dpg-conveners-l1t@cernSPAMNOTNOSPAMPLEASE.ch, RPC DPG: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

bmtf_eff_vs_eta.png BMTF (Barrel Muon Track Finder). Single μ pT > 25 GeV efficiency from cut and count TnP vs η.: The measurement was done with tight ID and PF isolation requirements according to Muon POG recommended working point. The RPC-only segments were included in the Barrel Trigger primitive algorithm in 2017. By adding redundancy to the algorithm, up to 2% higher efficiency is observed in the crack regions (space in between wheels around |η| ≈ 0.25 and |η| ≈ 0.85). The inclusion of the RPC-only segments reduced the overall trigger rate for barrel muons with pT > 25 GeV by 3%, by improving the BMTF pT assignment. The region above |η|=0.8 is also covered by the Overlap Muon Track Finder (OMTF). pdf file. Contact: Muon DPG: office cms-muon-DPGO@cernSPAMNOTNOSPAMPLEASE.ch, L1 DPG: cms-dpg-conveners-l1t@cernSPAMNOTNOSPAMPLEASE.ch, RPC DPG: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

bmtf_eff_vs_lumi.png BMTF (Barrel Muon Track Finder). Single μ pT > 25 GeV efficiency from cut and count TnP vs instantaneous luminosity.: The measurement was done with tight ID and PF isolation requirements according to Muon POG recommended working point. The RPC-only segments were included in the Barrel Trigger primitive algorithm in 2017. By adding redundancy to the algorithm, the overall BMTF efficiency improves by ≈ 0.7%. No dependence on luminosity is observed for either algorithm and the inclusion of the RPC-only segments reduced the trigger rate for barrel muons with pT > 25 GeV by 3%, by improving the BMTF pT assignment. pdf file. Contact: Muon DPG: office cms-muon-DPGO@cernSPAMNOTNOSPAMPLEASE.ch, L1 DPG: cms-dpg-conveners-l1t@cernSPAMNOTNOSPAMPLEASE.ch, RPC DPG: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

bmtf_eff_vs_vtx.png BMTF (Barrel Muon Track Finder). Single μ pT > 25 GeV efficiency from cut and count TnP vs number of vertices (vtx).: The measurement was done with tight ID and PF isolation requirements according to Muon POG recommended working point. The RPC-only segments were included in the Barrel Trigger primitive algorithm in 2017. By adding redundancy to the algorithm, the overall BMTF efficiency improves by ≈ 0.7% and no dependency on the number of vertices is observed for either algorithms. pdf file. Contact: Muon DPG: office cms-muon-DPGO@cernSPAMNOTNOSPAMPLEASE.ch, L1 DPG: cms-dpg-conveners-l1t@cernSPAMNOTNOSPAMPLEASE.ch, RPC DPG: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

bmtf_eff_vs_pt.png BMTF (Barrel Muon Track Finder). efficiency from cut and count TnP vs pT.: The measurement was done with tight ID and PF isolation requirements according to Muon POG recommended working point. The RPC-only segments were included in the Barrel Trigger primitive algorithm in 2017. By adding redundancy to the algorithm, the overall BMTF efficiency improves by ≈ 0.7%. The inclusion of the RPC-only segments reduced the trigger rate for barrel muons with pT > 25 GeV by 3%, by improving the BMTF pT assignment. No degradation in the high pT region is observed. pdf file. Contact: Muon DPG: office cms-muon-DPGO@cernSPAMNOTNOSPAMPLEASE.ch, L1 DPG: cms-dpg-conveners-l1t@cernSPAMNOTNOSPAMPLEASE.ch, RPC DPG: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

RPC performance with Tracker extrapolation method

Description of the method:

From the Run-II, the RPCMuon [3] reconstruction algorithm is included in the standard reconstruction, where the algorithm starts from the inner track and finds matched RPC hits (RPCRecHits) along its trajectory. The track extrapolation is done in this step and the results of extrapolation are stored in the muon objects.

For the efficiency measurement using the track extrapolation in the RPCMuons, we require TrackerMuon [4] identification on the muons. The TrackerMuon identification is done by extrapolating inner tracks to muon systems to find matching DT/CSC segments. The TrackerMuon and RPCMuon reconstruction are designed to run independently, to be complementary algorithms to each other. We use the tag-and-probe method [4] to remove bias from the triggers - start from the SingleMuon dataset and require one muon(tag) to pass identification and isolation cuts but also require to be matched to the trigger object to accept the event. Then we select another muon(probe) in the event to study the efficiency, requiring TrackerMuon identification and to form Z-> resonance.

Tracker extrapolation method Z invariant mass distribution:

20171218_c2mass_v1.png The tag-and-probe method has been used to select a good muon sample for the detector performance analysis. We start from the SingleMuon dataset and require one muon(tag) to pass identification and isolation cuts but also require to be matched to the trigger object to accept the event. Then we select another muon(probe) in the event to study the efficiency, requiring TrackerMuon identification and to form Z-> resonance.
Invariant mass distribution of Tag-Probe pairs: The plots represent the invariant mass distribution of Tag-Probe pairs used in the RPC overall performance extraction. Efficiency is obtained using the Tagand-Probe method with single muon triggered dataset. Probe muons are reconstructed using the tracker muon algorithm which is independent to RPC system, requiring at least one segment to be matched in local x position within 3cm and pull <= 3. Probe muons are also required to have at least 10GeV in transverse momentum.

C file, pdf file. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Figures:

20171218_efficiency_Run2017_cBarrel.png 20171218_efficiency_Run2017_cEndcap.png
RPC overall efficiency distribution in 2017: The plots represent the overall efficiency of RPC rolls in Barrel (left) and Endcap (right). The underflow entries are from rolls with efficiency lower than 70%, caused by the the known hardware problems - chambers with gas leak problems and threshold control problems. Efficiency is obtained using the Tag-and-Probe method with single muon triggered dataset. Probe muons are reconstructed using the tracker muon algorithm which is independent to RPC system, requiring at least one segment to be matched in local x position within 3cm and pull <= 3. Probe muons are also required to have at least 10GeV in transverse momentum. C file barrel, C file endcap, pdf file barrel, pdf file endcap. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

20171218_efficiency_Run2016_cBarrel.png 20171218_efficiency_Run2016_cEndcap.png
RPC overall efficiency distribution in 2016: The plots represent the overall efficiency of RPC rolls in Barrel (left) and Endcap (right). The underflow entries are from rolls with efficiency lower than 70%, caused by the the known hardware problems - chambers with gas leak problems and threshold control problems. Efficiency is obtained using the Tag-and-Probe method with single muon triggered dataset. Probe muons are reconstructed using the tracker muon algorithm which is independent to RPC system, requiring at least one segment to be matched in local x position within 3cm and pull <= 3. Probe muons are also required to have at least 10GeV in transverse momentum. C file barrel, C file endcap, pdf file barrel, pdf file endcap. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

20171218_cEffCmpBarrel.png 20171218_cEffCmpEndcap.png
Comparison of RPC overall efficiency distribution in 2017 to 2016: The plots represent the overall efficiency of RPC rolls in Barrel (left) and Endcap (right). Efficiency is obtained using the Tag-and-Probe method with single muon triggered dataset. Probe muons are reconstructed using the tracker muon algorithm which is independent to RPC system, requiring at least one segment to be matched in local x position within 3cm and pull <= 3. Probe muons are also required to have at least 10GeV in transverse momentum. The RPC efficiency measured in 2016 and 2017 are comparable and in agreement with the expectations. C file barrel, C file endcap, pdf file barrel, pdf file endcap. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

20171218_c2bx_Barrel.png 20171218_c2bx_Endcap.png
RPC bunch crossing distribution in 2017: The plots represent the bunch crossing distribution of RPC hits in the Barrel (left) and the Endcap (right) from muons. The Tag-and-Probe method is used to obtain RPC hits from muon track, where the probe muons are reconstructed using the tracker muon algorithm which is independent to RPC system, requiring at least one segment to be matched in local x position within 3 cm and pull ≤ 3. Probe muons are also required to have at least 10 GeV in transverse momentum. The results are in agreement with the ones obtained with 2016 data [5] and show stable performance of the RPC system. C file barrel, C file endcap, pdf file barrel, pdf file endcap. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

20171218_c2cls_Barrel.png 20171218_c2cls_Endcap.png
RPC cluster size distribution in 2017: The plots represent the cluster size distribution of RPC hits in the Barrel (left) and the Endcap (right) from muons. The Tag-and-Probe method is used to obtain RPC hits from muon track, where the probe muons are reconstructed using the tracker muon algorithm which is independent to RPC system, requiring at least one segment to be matched in local x position within 3 cm and pull ≤ 3. Probe muons are also required to have at least 10 GeV in transverse momentum. The results are in agreement with the ones obtained with 2016 data [5] and show stable performance of the RPC system. C file barrel, C file endcap, pdf file barrel, pdf file endcap. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

RPC Integrated Charge

The RPC integrated charge has been calculated since the beginning of Run-I up to December, 2017. More details about the methodology might be found in the relevant note [6].

Figures

barrel_in_time.png endcap_in_time.png
CMS RPC Integrated Charge: The plots represent the integrated charge for CMS RPC detector, the Barrel part on the left and the Endcap part on the right. The integrated charge per year is shown in blue. The red curve shows the evolution of the accumulated integrated charge in time. The LS1 period does not contribute to accumulating charge since RPC detector was OFF. The total integrated charge for the entire operation period (Oct.2009 - Dec.2017) is estimated to be about 1.66 mC/cm2 for the Barrel and 4.58 mC/cm2 for the Endcap. The Barrel C file and the Endcap C file are also enclosed. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

CMS-RPC-IC-HL-LHC.png CMS RPC Extrpolated Integrated Charge to 3000 fb-1: The plot represents the CMS RPC Integrated Charge Distribution per Region (Barrel, Endcap) extrapolated to the HL-LHC Luminosity of 3000 fb-1. The mean extrapolated integrated charge of the entire RPC detector is estimated to be 70.78 mC/cm2 while the maximum extrapolated integrated charge at 3000 fb-1 is expected to reach 272.11 mC/cm2. The C file is also enclosed. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Barrel-Roll-IC-HL-LHC.pngBarrel-Wheel-IC-HL-LHC.png
CMS RPC Barrel Extrpolated Integrated Charge to 3000 fb-1: The plots represent the CMS RPC Barrel Integrated Charge Distribution per Station (on the left) and per Wheel (on the right) extrapolated to the HL-LHC Luminosity of 3000 fb-1. The mean extrapolated integrated charge for the Barrel part of the RPC detector is estimated to be 40.56 mC/cm2 while the maximum extrapolated integrated charge at 3000 fb-1 is expected to reach 128.49 mC/cm2. The Barrel Distribution per Station C file and the Barrel Distribution per Wheel C file are also enclosed. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Endcap-Disks-IC-HL-LHC.png CMS RPC Endcap Extrpolated Integrated Charge to 3000 fb-1: The plot represents the CMS RPC Endcap Integrated Charge Distribution per Disk extrapolated to the HL-LHC Luminosity of 3000 fb-1. The mean extrapolated integrated charge for the Endcap part of the RPC detector is estimated to be 119.8 mC/cm2 while the maximum extrapolated integrated charge at 3000 fb-1 is expected to reach 272.11 mC/cm2. The Endcap Distribution per Disk C file is also enclosed. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

barrel_stations_vs_sectors_wm2.png RPC integrated charge - W-2 R/φ Distribution: The plot represents a R/φ Distribution of the integrated charge in barrel wheel W-2 for the entire Run-I and Run-II data taking period. The x-axes correspond to the 12 barrel sectors in φ, each of them covering 30 degrees in azimuthal direction. The y-axes correspond to the four RPC barrel stations where RB1 is the closest to the beam pipe. As expected, the Integrated charge is highest in the innermost station and top outermost sectors where the particle flow and the background, respectively, are most significant. C file Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

RPC HV scan

Definition: The RPC HV scan is a special sequence of runs. The HV scan is taken at effective, equidistant voltages in the working range of [8600, 9800] V. The collected data is being analyzed in order to calculate the best HV working points of RPC chambers and further apply them on the detector.

  • Determination of the 2017 Working Points.
  • Stability of the RPC HV Scan Parameters in time.

Two HV scans have been taken in 2017 - the first one has been taken at relatively low instantaneous luminosity 0.15-0.17 x 1034cm-2s-1, while the second one in September has been taken at very high instantaneous luminosity 1.2-1.3 x 1034cm-2s-1.

More details about the RPC HV scan methodology might be found also in [6].

gas_RPC2520iC4H10_0_v5.png As it is shown on the plot, in 2016 the Isobutane concentration in the RPC gas working mixture was higher because of mass flow controller problem. The two red lines on the plot mark the limits for optimal performance of the CMS RPCs. With green color is given the Isobutane concentration from the mixer. The gas coming from the system before purifier 2 is shown with red color. The blue dots represent the gas going back to RPCs.

Figures:

HVch_reRunMay2017.png effHVch_reRunMay2017_bl.png
RPC HV scan new HV working point: The plot on the left represents the HV working points (WP) per HV channel evaluated from the 2017 HV scan analysis. The plot on the right shows the efficiency at WP per HV channel, derived from the 2017 HV scan analysis. The data used have been collected in one calibration run in May, 2017. The files WP per HV channel .C file, WP per HV channel .pdf file, Eff at WP per HV channel C file, Eff at WP per HV channel .pdf file are also enclosed. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

effwp_reRunMay2017_bl.png clswp_reRunMay2017_filtered.png
RPC efficiency and cluster size per roll: The plot on the left represents the efficiency per roll at working point (WP) evaluated from the May 2017 HV scan analysis. The plot on the right shows the cluster size per roll at working point, evaluated from the May 2017 HV scan analysis. Due to the lack of muon segment statistics, the two innermost RPC rolls from RE4 have been excluded from the analysis, which explains the lower average cluster size for RE4 with respect to the rest of the Endcap. The files eff at WP per roll .C file, eff at WP per roll .pdf file, cls at WP per roll .C file, cls at WP per roll .pdf file are also enclosed. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

Barrel_roll_HVscan.png Endcap_roll_HVscan.png
RPC HV scan in 2016 and 2017: The two plots show the comparison between the efficiency vs HV distributions obtained during 2016 (red) and 2017 (blue) HV scans for two example chambers in barrel (on the left) and endcap (on the right). The shifts of the 2016 (red) curves to higher HV values are caused by the higher Isobutane concentration in 2016. By definition the HV working points (WP) are defined as the knee voltage plus 100 Volts for Barrel and 120 Volts for Endcap [4]. Because of this, both working points (evaluated at 2016 and 2017) are in the plateau of the curves. The files barrel .C file, barrel .pdf file, endcap .C file, endcap .pdf file are also enclosed. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch

HistoryPlotBarrel2017.png CMS RPC Barrel HV Scans per Year: The plot represents the working point (WP) evolution, the efficiency at the working point evolution and the Voltage at 50% Efficiency evolution in the Barrel. The efficiency at WP distributions have been presented with a light blue color. With a blue, full circle is presented the mean efficiency at WP for each of the HV scans. By red, full squares is represented the mean of the working point distribution for each HV scan with their Standard deviations. In magenta, full triangles represent the mean of the voltage at 50% Efficiency distribution for each HV scan with their standard deviations. A shift of around 40 V to lower values has been observed in 2017 with respect to 2016, caused by the higher isobutane concentration in the CMS RPC standard gas mixture during 2016. The lowering of the HV WP does not affect the chamber efficiency as seen on the plot since chambers are already working at efficiecny plateau C file, pdf file. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

HistoryPlotEndcap2017.png CMS RPC Endcap HV Scans per Year: The plot represents the working point (WP) evolution, the efficiency at the working point evolution and the Voltage at 50% Efficiency evolution in the Endcap. The efficiency at WP distributions have been presented with a light blue color. With a blue, full circle is presented the mean efficiency at WP for each of the HV scans. By red, full squares is represented the mean of the working point distribution for each HV scan with their Standard deviations. In magenta, full triangles represent the mean of the voltage at 50% Efficiency distribution for each HV scan with their standard deviations. A shift of around 20 V to lower values has been observed in 2017 with respect to 2016, caused by the higher isobutane concentration in the CMS RPC standard gas mixture during 2016. The lowering of the HV WP does not affect the chamber efficiency as seen on the plot since chambers are already working at efficiency plateau. C file, pdf file. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

HistoryPlotEndcapRe42017.png CMS RPC RE4 HV Scans per Year: The plot represents the working point (WP) evolution, the efficiency at the working point evolution and the Voltage at 50% Efficiency evolution in the 4th Endcap Station (RE4). The efficiency at WP distributions have been presented with a light blue color. With a blue, full circle is presented the mean efficiency at WP for each of the HV scans. By red, full squares is represented the mean of the working point distribution for each HV scan with their Standard deviations. In magenta, full triangles represent the mean of the voltage at 50% Efficiency distribution for each HV scan with their standard deviations. A shift of around 20 V to lower values has been observed in 2017 with respect to 2016, caused by the higher isobutane concentration in the CMS RPC standard gas mixture during 2016. The lowering of the HV WP does not affect the chamber efficiency as seen on the plot since chambers are already working at efficiency plateau. C file, pdf file. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

RPC Efficiency and Cluster size history

The RPC efficiency and cluster size have been measured in proton-proton collision runs in 2016 and 2017. The efficiency for every particular run has been measured using the Segment extrapolation method, explained in [4]. The cluster size of the RPC reconstructed hits have been measured as well. The extrapolated segments from the nearest muon detector Drift Tubes (DT) in the barrel and Cathode Strip Chamber (CSC) in the endcap parts have been extrapolated to the RPC detector plane. The segments have been selected to belong to an standalone muon track. In order to reduce the fake tracks contribution caused by the larger number of pileup events, the standalone tracks have been selected to have a pt >7 GeV and χ2/ndof < 8. The matches between the extrapolated segments and RPC reconstructed hits have been searched in the area of +- 2 strips. The instantaneous luminosity has been calculated per every analyzed run.

Figures Efficiency and Cluster size vs time

barrel_Eff_only_time_2016_2017_final.png barrel_cls_only_time_2016_2017_final.png
RPC efficiency and cluster size history in 2016 and 2017 Barrel: RPC efficiency (on the left) and cluster size (on the right) history for the barrel in 2016 and 2017 is shown on the plots. In 2016, because of higher isobutane concentration (5.3%), efficiency was lower as the HV working points (WP) were not changed to compensate the wrong gas mixture. After the deployment of the new WP in September 2016, the efficiency increased by ~1% and cluster size increased sharply. Gas concentration was back at 4.5 % in 2017 but the WP were not changed. The efficiency of the system remained unchanged (running in the plateau of the sigmoid curve), however a new increase of the cluster size have been observed. New WP have been deployed by end of 2017, which lead to a slight decrease of the efficiency but sensible reduction of the cluster size. C file efficiency, pdf file efficiency C file cluster size, pdf file cluster size. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

endcap_Eff_only_time_2016_2017_final.png endcap_cls_only_time_2016_2017_final.png
RPC efficiency and cluster size history in 2016 and 2017 Endcap: RPC efficiency (on the left) and cluster size (on the right) history for the endcap in 2016 and 2017 is shown on the plots. No significant impact on the performance, caused by the different Isobutane concentration, have been observed in the endcap. New WP have been deployed by end of 2017, which lead to a slight decrease of the efficiency but sensible reduction of the cluster size. C file efficiency, pdf file efficiency C file cluster size, pdf file cluster size. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

Figures Efficiency and Cluster size vs instantaneous luminosity

eff_lumi_barrel_2016_2017_over.png eff_lumi_reN_2016_2017_overl.png
RPC barrel efficiency and cluster size vs instantaneous luminosity (2016 and 2017): The plots represent the RPC barrel efficiency and cluster size as a function of the instantaneous luminosity measured in proton-proton collision runs in 2016 and 2017 data taking. The data taken at same WP have been used for the comparison. The lower efficiency and cluster size in 2016 are caused by the higher Isobutane concentration in 2016. Nevertheless the comparison between the 2016 and 2017 results show stable efficiency and performance. The average cluster size is kept around 2 and this is far below the maximum limit of 3 strips, according to the trigger requirements. C file barrel, pdf file barrel C file endcap, pdf file endcap. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

RPC Background studies

Background in the cavern has been studied in terms of RPC hit rate and HV currents as function of the instantaneous luminosity. Rates and currents were measured during the proton-proton collision data taking and averaged per run, instantaneous luminosity is also averaged per run. During the 2015-2016 YETS the vertical slits in the HF have been filled with steel plate and covered from the top with multilayer plates at both Endcaps (plot on left). In addition, the vertical slit in the rotating shielding at the +Z Endcap has been filled with steel and borated polyethylene bars. Rotating shielding at -Z endcap was filled during 2016-2017 YETS.


RPC Hit rates have been measured directly from the link-board counts.
RPC currents - The obtained results are based on the analysis of a set of runs, specially selected by identical running parameters like LHC Energy, LHC bunch schema, number of colliding bunches, β*, beam crossing angle and stable beam declared. The current values have been extracted by the specially developed automatic tool, where each current is tagged with information about CMS magnetic field and LHC luminosity.
Instantaneous luminosity values from online database have been used.

More details about the RPC background studies might be found also in the relevant 2016 DPS [6].

Figures RPC Hit Rates and Currents:

hitRateVsLuminosity_2017_RB.png 17a_w.png
RPC barrel hit rate and currents vs instantaneous luminosity as measured in 2017 pp collision data: Mean rate and currents values per run are respectively defined as the average rate of all the rolls and the average current of all HV channels that are ON present in the corresponding wheel, selected runs with identical LHC running parameters. For the barrel region, rates and currents increase with Z (along the beam line), highest values have been measured on the external wheels - W+2 and W-2. Lower background in W-2 with respect to W+2 is caused by the presence of the shaft in the negative part of the CMS cavern. W0 has lowest rate and current since it is best shielded by the other wheels. C file currents, pdf file currents. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

hitRateVsLuminosity_2016_RB.png c16_w.png
RPC barrel hit rate and currents vs instantaneous luminosity as measured in 2016 pp collision data: Mean rate and currents values per run are respectively defined as the average rate of all the rolls and the average current on all HV channels that are ON present in the corresponding wheel, selected runs with identical LHC running parameters. For the barrel region, rates and currents increase with Z (along the beam line), highest values have been measured on the external wheels - W+2 and W-2. Slightly lower background in W-2 with respect to W+2 is caused by the presence of the shaft in the negative part of the CMS cavern. Rotating shieldings on positive and negative ends were not symmetric in 2016 which contributed to relatively higher rates and currents in W-2 with respect to 2015 and 2017 performance. C file currents, pdf file currents. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

hitRateVsLuminosity_2017_RE.png 17a_e.png
RPC endcap hit rate and currents vs instantaneous luminosity as measured in 2017 pp collision data: Mean rate and current values per run are respectively defined as the average rate of all the rolls and the average current on all HV channels that are ON present in the corresponding station, selected runs with identical LHC running parameters. Highest hit rate and currents have been measured in the fourth endcap stations - RE-4 and RE+4, furthest from the interaction point, which are mostly affected by the background in the cavern. C file currents, pdf file currents. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

hitRateVsLuminosity_2016_RE.png 16_e.png
RPC endcap hit rate and currents vs instantaneous luminosity as measured in 2016 pp collision data: Mean rate and currents values per run are respectively defined as a the average rate of all the rolls and the average current on all HV channels present in the corresponding station, selected runs with identical LHC running parameters. Highest hit rate and currents have been measured in fourth endcap stations - RE-4 and RE+4, furthest from the interaction point, which are mostly affected by the background in the cavern. Rotating shieldings on positive and negative ends were not symmetric in 2016 which contributed to relatively higher rates and currents in RE4 with respect to 2015 and 2017 performance. C file currents, pdf file currents. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

Barrel-Stations-Rate-HL-LHC_2017_v2.png Barrel-Stations-Rate-HL-LHC_2016_v2.png
RPC extrapolated Hit Rate to HL-LHC: The linear dependence of the RPC hit rates on the instantaneous luminosity for all RPC chambers have been extrapolated to the instantaneous luminosity of 5x1034 cm-2s-1. The plot on the left (right) shows the expected mean and maximum rate for the RPC barrel stations from 2017 (2016) data. Based on 2017 data, the maximum expected rate at expected instantaneous luminosity of 5x1034 cm-2s-1 is about 200 Hz/cm2. The expected value from 2016 data was ~175 Hz/cm2. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

Endcap-Disks-Rate-HL-LHC_2017_v2.png Endcap-Disks-Rate-HL-LHC_2016_v2.png
RPC extrapolated Hit Rate to HL-LHC: The linear dependence of the RPC hit rates on the instantaneous luminosity for all RPC chambers have been extrapolated to the instantaneous luminosity of 5x1034 cm-2s-1. The plot on the left (right) shows the expected mean and maximum rate for the RPC endcap stations from 2017 (2016) data. The maximum expected rate from 2017 data is ~200 Hz/cm2. The expected maximum rate from 2016 data was ~ 218 Hz/cm2. The decrease is due to the improvement of the Rotating shielding on the negative end (RS-). Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

RPC-Rate-HL-LHC_2017_v2.png RPC-Rate-HL-LHC_2016_v2.png
RPC extrapolated Hit Rate to HL-LHC: The linear dependence of the RPC hit rates on the instantaneous luminosity for every RPC chamber have been extrapolated to the instantaneous luminosity of 5x1034 cm-2s-1. The left (right ) plot shows the expected mean and maximum rate for the entire RPC system from 2017 (2016) data. The maximum expected rate from 2017 data is ~200 Hz/cm2. The expected maximum rate from 2016 data was ~ 218 Hz/cm2. The decrease is due to the improvements made on the Rotating shielding on the negative end (RS-) in March, 2017. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

RE-4_2D_test.png
RPC Hit rate 2016 and 2017: The plot shows the rate ratios from two runs taken at 1.2x1034 cm-2s-1 in 2017 (after RS- shielding installation in 2017) and 2016. A rate attenuation in RE-4 after RS-shielding installation is observed. The largest impact of RS- shielding can be seen on chambers located in the external ring (R3) that are closer to the vertical line (90 degree - sector 10 and 270 degrees sector 28) due to the better filling of the vertical slit in rotating shielding. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

17a_rb.png 17a_ri.png
CMS RPC current vs instantaneous LHC luminosity: CMS RPC current vs instantaneous luminosity distributions are shown on the plots. The plot on the left represents the results for the 4 barrel stations, while the plot on the right shows the results for the 2 endcap rings, where there are RPC installed. The highest currents have been measured in the innermost Barrel station RB1, caused mainly by the passage of the particles from primary interactions and also the outermost barrel station RB4, caused mainly by the background in the cavern. In the Endcaps the highest currents are measured in Ring 2 which is closer to the beam pipe and interaction point. C file barrel, pdf file barrel, C file barrel, pdf file barrel. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

rateVsLum_RE4_R2_S10.png currentVsLum_RE4_R2_S10.png
RPC hit rate/HV current vs instantaneous luminosity for the hottest regions: Comparisons of the measured 2017/2016 hit rate/currents for RE4/R2 S10 chambers (both positive and negative sides) as a function of instantaneous luminosity. The effect of the RS- installation at the beginning of 2017 is observed in the reduction of the hit rate, currents measured in 2017 for the RE-4 hottest chamber. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

ratiotestp_v1.png curr1716_5_v1.png
RPC rates and currents expected at HL-LHC conditions - comparison between 2017 and 2016: The RPC hit rates (on the left) and currents (on the right) vs instantaneous luminosity distributions measured in 2016 and 2017 proton-proton collision at energy of 13 TeV have been extrapolated to instantaneous luminosity of 5x1034 cm-2s-1 (HL-LHC). The RE-4 expected rate from 2017 data is lower up to 8% compared to the value obtained using 2016 data. The RE-4 expected current from 2017 data is lower up to 10% compared to the value obtained using 2016 data. This performance is in good agreement with the improved Rotating Shielding on the negative end (RS-) in the beginning of 2017. .C file rate, .pdf file rate, .C file currents, .pdf file currents. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

ratioext171615_5np_v1.png
Current vs instantaneous luminosity comparison between 2017,2016 and 2015: TThe RPC hit current vs instantaneous luminosity distributions measured in 2017, 2016 and 2015 proton-proton collision at energy of 13 TeV have been extrapolated to instantaneous luminosity of 5x1034 cm-2s-1. The RE-4 extrapolated value with 2017 data is lower up to 23% compared to 2015 data, and is lower up to 10% compared to 2016 data. The RE+4 extrapolated value with 2017 data is lower up to 30% compared to 2015 data, and is the same compared to 2016 data. This performance is well in agreement with the improved Rotating Shielding on the positive end (RS+) in the beginning of 2016 and the improved Rotating Shielding on the negative end (RS-) in the beginning of 2017. .C file, .pdf file. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

RE2223_HitRate_Run2_mod4.png
Comparison of background hit rate between FLUKA simulation and RPC measurements for the second RPC endcap station and instantaneous luminosity of 1x1034 cm-2s-1. Simulation results use a Run-2 CMS geometry. The MC predicted hit rate has been evaluated as a convolution between the particle fluxes, obtained with FLUKA and detector sensitivities to different particle types from a GEANT4 simulation. The RPC hit rate is measured from the link-boards. Background simulations reproduce the measured rates within a factor of two in the worst case. Contact: cms-dpg-conveners-rpc@cernSPAMNOTNOSPAMPLEASE.ch

References

[1] CMS Collaboration, Performance of the CMS TwinMux Algorithm in late 2016 pp collision runs, CERN-CMS-DP-2016-074;

[2] CMS Collaboration, First Muon Identification Efficiencies with 13 TeV, 50 ns Data, CERN-CMS-DP-2015-047;

[3] CMS Collaboration, Muon Identification performance: hadron mis-Id measurements and RPC Muon selections, CERN-CMS-DP-2014-018;

[4] CMS Collaboration, Performance of CMS muon reconstruction in pp collision events at sqrt(s)=7 TeV 2012 JINST 7 P10002, [arXiv:1206.4071]

[5] CMS Collaboration, Performance of the CMS Muon Detectors in 2016 collision runs, CERN-CMS-DP-2016-046.

[6] CMS Collaboration, RPC Performance Results for 2016, CMS-DP-2017-053; CERN-CMS-DP-2017-053

Topic attachments
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PNGpng 16_e.png r1 manage 30.9 K 2018-01-31 - 12:56 RoumyanaHadjiiska  
C source code filec 17a_e.C r1 manage 270.1 K 2018-01-31 - 12:40 RoumyanaHadjiiska  
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C source code filec 17a_rb.C r1 manage 136.6 K 2018-01-31 - 15:13 RoumyanaHadjiiska  
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