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The plots show the RPC efficiency vs. the difference with the default threshold (Vthr-app-Vthr-def). One roll for the barrel (left) and one for the endcap (right) are shown. Due to the low statistics in the endcap, a detailed study was possible in the barrel region only. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch |
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The plot shows the RPC barrel efficiency distribution at the different applied thresholds of the voltage scan. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch | The plot shows the efficiency variation when decreasing the threshold voltage by 5 mV, which results in an efficiency gain of about 0.9% in the barrel. The single entries with very high differences are caused by low statistics. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch |
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The plots show the efficiency variation when decreasing the threshold voltage by 5 mV, which results in an efficiency gain of about 0.7% and 1.6% for the rolls from the innermost (closest to the beam pipe) RPC barrel layer RB1in (left), and for the outermost one - RB4 (right) respectively. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch |
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The plots show the RPC Cluster size vs. the difference with the default threshold(Vthr-app-Vthr-def) for one roll in the barrel (left) and one in the endcap (right). Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch |
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The plot shows the RPC Cluster size distribution at the different applied thresholds of the voltage scan. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch | The plot shows the variation in the Cluster size when decreasing the threshold voltage by 5 mV, which results in a slight cluster size increase of a bout 0.068 in the barrel. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch |
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The plots show the Cluster size variation when decreasing the threshold voltage by 5 mV, which results in a slight cluster size increase of a bout 0.064 and 0.047 strips for the rolls from the innermost (closest to the beam pipe) RPC barrel layer RB1in (left) and for the outermost one - RB4 (right) respectively. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch |
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The plots show the intrinsic noise rate vs. the difference with the default threshold (Vthr-app-Vthr-def) for one roll in the barrel (left) and one in the endcap (right). Quadratic polynomial function is used for the fit. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch |
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The plot shows the variation of the rate when decreasing the threshold voltage by 5 mV. Contact: cms-dpg-conveners-rpc@cernNOSPAMPLEASE.ch |
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This figure shows the 2015 efficiency of barrel RPC chambers, in longitudinal direction z and azimuthal angle φ of expected impact region of muons. Each point correspond to roll efficiency. Data points with low statistics or temporary problems are removed. Efficiency was 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 regions with black color correspond to the chambers without any RPC hits, caused by the known hardware problems(ex. chambers with gas leak problems). There are regions with lower efficiency due to the inactive regions induced by spacers, boundaries of chambers or masked readout strips. |
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This figure shows the 2016 efficiency of barrel RPC chambers, in longitudinal direction z and azimuthal angle φ of expected impact region of muons. Each point correspond to roll efficiency. Data points with low statistics or temporary problems are removed. Efficiency was 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 regions with black color correspond to the chambers without any RPC hits, caused by the known hardware problems(ex. chambers with gas leak problems). There are regions with lower efficiency due to the inactive regions induced by spacers, boundaries of chambers or masked readout strips. |
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This figure shows the 2017 efficiency of barrel RPC chambers, in longitudinal direction z and azimuthal angle φ of expected impact region of muons. Each point correspond to roll efficiency. Data points with low statistics or temporary problems are removed. Efficiency was 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 regions with black color correspond to the chambers without any RPC hits, caused by the known hardware problems(ex. chambers with gas leak problems). There are regions with lower efficiency due to the inactive regions induced by spacers, boundaries of chambers or masked readout strips. |
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This figure shows the 2018 efficiency of barrel RPC chambers, in longitudinal direction z and azimuthal angle φ of expected impact region of muons. Each point correspond to roll efficiency. Data points with low statistics or temporary problems are removed. Efficiency was 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 regions with black color correspond to the chambers without any RPC hits, caused by the known hardware problems(ex. chambers with gas leak problems). There are regions with lower efficiency due to the inactive regions induced by spacers, boundaries of chambers or masked readout strips. |
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This figure shows the 2015 efficiency of endcap+ RPC chambers, in the x-y coordinate of expected impact region of muons. Each point correspond to roll efficiency. Data points with low statistics or temporary problems are removed. Efficiency was 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 regions with black color correspond to the chambers without any RPC hits, caused by the known hardware problems(ex. chambers with gas leak or LV problems). There are regions with lower efficiency due to the inactive regions induced by spacers, boundaries of chambers or masked readout strips. |
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This figure shows the 2016 efficiency of endcap+ RPC chambers, in the x-y coordinate of expected impact region of muons. Each point correspond to roll efficiency. Data points with low statistics or temporary problems are removed. Efficiency was 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 regions with black color correspond to the chambers without any RPC hits, caused by the known hardware problems(ex. chambers with gas leak or LV problems). There are regions with lower efficiency due to the inactive regions induced by spacers, boundaries of chambers or masked readout strips. |
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This figure shows the 2017 efficiency of endcap+ RPC chambers, in the x-y coordinate of expected impact region of muons. Each point correspond to roll efficiency. Data points with low statistics or temporary problems are removed. Efficiency was 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 regions with black color correspond to the chambers without any RPC hits, caused by the known hardware problems(ex. chambers with gas leak or LV problems). There are regions with lower efficiency due to the inactive regions induced by spacers, boundaries of chambers or masked readout strips. |
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This figure shows the 2018 efficiency of endcap+ RPC chambers, in the x-y coordinate of expected impact region of muons. Each point correspond to roll efficiency. Data points with low statistics or temporary problems are removed. Efficiency was 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 regions with black color correspond to the chambers without any RPC hits, caused by the known hardware problems(ex. chambers with gas leak or LV problems). There are regions with lower efficiency due to the inactive regions induced by spacers, boundaries of chambers or masked readout strips. |
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This figure shows the 2015 efficiency of endcap- RPC chambers, in the x-y coordinate of expected impact region of muons. Each point correspond to roll efficiency. Data points with low statistics or temporary problems are removed. Efficiency was 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 regions with black color correspond to the chambers without any RPC hits, caused by the known hardware problems(ex. chambers with gas leak or LV problems). There are regions with lower efficiency due to the inactive regions induced by spacers, boundaries of chambers or masked readout strips. |
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This figure shows the 2016 efficiency of endcap- RPC chambers, in the x-y coordinate of expected impact region of muons. Each point correspond to roll efficiency. Data points with low statistics or temporary problems are removed. Efficiency was 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 regions with black color correspond to the chambers without any RPC hits, caused by the known hardware problems(ex. chambers with gas leak or LV problems). There are regions with lower efficiency due to the inactive regions induced by spacers, boundaries of chambers or masked readout strips. |
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This figure shows the 2017 efficiency of endcap- RPC chambers, in the x-y coordinate of expected impact region of muons. Each point correspond to roll efficiency. Data points with low statistics or temporary problems are removed. Efficiency was 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 regions with black color correspond to the chambers without any RPC hits, caused by the known hardware problems(ex. chambers with gas leak or LV problems). There are regions with lower efficiency due to the inactive regions induced by spacers, boundaries of chambers or masked readout strips. |
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This figure shows the 2018 efficiency of endcap- RPC chambers, in the x-y coordinate of expected impact region of muons. Each point correspond to roll efficiency. Data points with low statistics or temporary problems are removed. Efficiency was 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 regions with black color correspond to the chambers without any RPC hits, caused by the known hardware problems(ex. chambers with gas leak or LV problems). There are regions with lower efficiency due to the inactive regions induced by spacers, boundaries of chambers or masked readout strips. |
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RPC hit rates, expected at instantaneous luminosity of 5x1034cm-2s-1 in the upgrade RE3/1 (on the left) and RE4/1 (on the right) regions are shown. All values are averaged over φ. Averaged expected RE3/1 hit rate is ~660 Hz/cm2, including SF of 3, it is ~ 2000 Hz/cm2. For RE4/1 the averaged expected rate is ~500 Hz/cm2. Including SF of 3 it is ~ 1600 Hz/cm2. Per strip: The expected rate per RE3/1 strip in the range (150 cm <=R <=320) is ~93 kHz. Including SF of 3 it is about 280 kHz or 0.007 [hits/bx]. The expected rate per RE4/1 strip in the range (180 cm <=R <=320) is ~68 kHz. Including SF of 3 it is about 204 kHz or 0.005 [hits/bx]. The systematic uncertainty is yet to be fully qualified. C file RE3/1 C file RE4/1 Contact: cms-dpg-conveners-rpc@SPAMNOTcernNOSPAMPLEASE.ch |
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RPC hit rates, expected at instantaneous luminosity of 7.5x1034cm-2s-1 in the upgrade RE3/1 (on the left) and RE4/1 (on the right) regions are shown. All values are averaged over φ. Averaged expected RE3/1 hit rate is ~1000 Hz/cm2, including SF of 3, it is ~ 3000 Hz/cm2. For RE4/1 the averaged expected rate is ~800 Hz/cm2. Including SF of 3 it is ~ 2400 Hz/cm2. Per strip: The expected rate per RE3/1 strip in the range (150 cm <=R <=320) is ~140 kHz. Including SF of 3 it is about 420 kHz or 0.011 [hits/bx]. The expected rate per RE4/1 strip in the range (180 cm <=R <=320) is ~102 kHz. Including SF of 3 it is about 306 kHz or 0.008 [hits/bx]. The systematic uncertainty is yet to be fully qualified. C file RE3/1 C file RE4/1 Contact: cms-dpg-conveners-rpc@SPAMNOTcernNOSPAMPLEASE.ch |
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RPC hit rates, expected at instantaneous luminosity of 5x1034cm-2s-1 in the present RE3/2&3 (on the left) and RE4/2&3 (on the right) regions are shown. All values are averaged over φ. Averaged expected RE3/2 and RE3/3 hit rates are ~135 Hz/cm2 and 70 Hz/cm2 respectively. Including SF of 3 they are ~ 410 Hz/cm2 and 210 Hz/cm2. Averaged expected RE4/2 and RE4/3 hit rates are ~180 Hz/cm2 and 120 Hz/cm2 respectively. Including SF of 3 they are ~ 540 Hz/cm2 and 360 Hz/cm2. The systematic uncertainty is yet to be fully qualified. C file RE3 C file RE4 Contact: cms-dpg-conveners-rpc@SPAMNOTcernNOSPAMPLEASE.ch |
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RPC hit rates, expected at instantaneous luminosity of 7.5x1034cm-2s-1 in the present RE3/2&3 (on the left) and RE4/2&3 (on the right) regions are shown. All values are averaged over φ. Averaged expected RE3/2 and RE3/3 hit rates are ~200 Hz/cm2 and 100 Hz/cm2 respectively. Including SF of 3 they are ~ 600 Hz/cm2 and 300 Hz/cm2. Averaged expected RE4/2 and RE4/3 hit rates are ~260 Hz/cm2 and 180 Hz/cm2 respectively. Including SF of 3 they are ~ 780 Hz/cm2 and 540 Hz/cm2. The systematic uncertainty is yet to be fully qualified. C file RE3 C file RE4 Contact: cms-dpg-conveners-rpc@SPAMNOTcernNOSPAMPLEASE.ch |
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Absorbed dose after collected 3000 fb/cm-1 (in blue) and 4000 fb/cm-1 (in red) is shown on the plots. Plot on the left represents RE3/1 region and the one on the right – RE4/1. All values are averaged over φ. The highest value at 165 cm is systematic and is caused by the geometry differences and larger Z bin (Z bin = 10 cm). Thus the value in the Z bin is averaged over RPC material and air. The average ratio between the values from the ultimate and base HL-LHC scenario is 1.33. Expected dose at R=303 cm for RE3/1 is ~10 (13.6) Gy, and at R=304 cm for RE4/1 it is about 18 (24) Gy, where R=303 (304)cm are the expected FEB positions. Safety factor of 3 is not included. The systematic uncertainty is yet to be fully qualified. C file RE3/1 C file RE4/1 Contact: cms-dpg-conveners-rpc@SPAMNOTcernNOSPAMPLEASE.ch |
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Expected fluence in terms of 1-MeV neutron equivalent in Si, after collected 3000 fb/cm-1 (in blue) and 4000 fb/cm-1 (in red) is shown on the plots. Plot on the left represents the upgrade iRPC region – RE3/1 and RE4/1 and on the right – the present RE3/2&3 and RE4/2&3. All values are averaged over φ. The average ratio between the ultimate and base HL-LHC scenario is 1.33. Expected fluence at R=303 cm for RE3/1 is ~4.3 (5.8) x1011 n/cm2, and at R=304 cm for RE4/1 it is about 6.2 (8.2) x1011 n/cm2, where R=303 (304)cm are the expected FEB positions. Safety factor of 3 is not included. The systematic uncertainty is yet to be fully qualified. C file iRPC C file RPC Contact: cms-dpg-conveners-rpc@SPAMNOTcernNOSPAMPLEASE.ch |
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Figure represents HV current vs time for one of the RE+4 gaps. HV stability was done on the surface in a newly built Muon stasis lab after chambers were dismounted from CMS. Currents were found higher than expected and significant reduction of currents observed by keeping the detector at higher voltages. This plot shows the currents at 6500 V on the left and at 9000 V for rest of the period. In around 1 month of the period currents were getting to a stable value which was determined by a dedicated current analysis during heavy ion running where an exponential decrease of currents was observed for all the chambers with high currents. Contact: cms-dpg-conveners-rpc@SPAMNOTcern.ch |
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Figure represents HV current vs applied HV for one of the RE4 super modules RE+4/R2/R3.09. These measurements were done on the surface in a newly built Muon stasis lab after chambers were dismounted from CMS. Currents were found higher than expected and significant reduction of currents observed by keeping the detector at higher voltages. In around 1 month of the period currents were getting to a stable value which was determined by a dedicated current analysis during heavy ion running where an exponential decrease of currents was observed for all the chambers. Contact: cms-dpg-conveners-rpc@SPAMNOTcern.ch |
We present a new Machine Learning (ML) approach to monitor and spot possible HV problems. A Generalized Linear Regression algorithm is trained to recognize the behavior of the HV current of a given chamber. Then the algorithm is used to predict the HV current at given data taking conditions and environmental parameters. The divergence between the predicted and the measured HV current is an indication for a problem.
The results for several chambers would be shown. The algorithm is trained and tested on 2017 and 2018 data. The software development is on “proof of concepts” level and the results are encouraging.
The model To predict the RPC HV channel current taking into account Inst. Luminosity, Working Point and environmental parameters. ![]() |
A plot of the UXC pressure from May 2016 to the end of Nov 2018. The data are taken from the online condition database and exhibit seasonal behavior. Contact: cms-dpg-conveners-rpc@SPAMNOTcern.ch |
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A plot of the UXC relative humidity from May 2016 to the end of Nov 2018. The data are taken from the online condition database and exhibit seasonal behavior. Contact: cms-dpg-conveners-rpc@SPAMNOTcern.ch |
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An example plot of the applied HV for a particular RPC (named W+1_S2_RB1out – outer chamber in station 1 in sector 2 of the barrel wheel +1) from May 2016 to the end of Nov 2018. The HV is corrected for pressure and temperature variations according to: Veff=V(p0/p)[1+alpha(T/T0-1)], where alpha is experimentally determined constant, p0 and T0 are the reference pressure and temperature, respectively. The data are taken from the online condition database and exhibit seasonal behavior due to the correlation with the UXC pressure. Contact: cms-dpg-conveners-rpc@SPAMNOTcern.ch |
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An example plot of the monitored RPC current (I_mon) for a particular chamber (named W+1_S2_RB1out – outer chamber in station 1 in sector 2 of the barrel wheel +1) from May 2016 to the end of Nov 2018. The current shows year bases behaviour - increases with time, but the next period starts with lower I_mon than at the end of the previous period. The I_mon values have accuracy of 0.2 uA and are taken from the online condition database. Contact: cms-dpg-conveners-rpc@SPAMNOTcern.ch |
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The monitored RPC current (Imon) vs. instantaneous luminosity (Linst) an RPC in the negative phi-part of barrel muon station 3 in sector 3 of wheel +2 (W+2_S3_RB3-). The two group of points with different slopes corresponding to two HV working points. Contact: cms-dpg-conveners-rpc@SPAMNOTcern.ch |
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The predicted RPC current (I_pred) vs. instantaneous luminosity (L_inst) for an RPC in the negative phi-part of the barrel muon station 3 in sector 3 of wheel +2 (W+2_S3_RB3-). The plot shows how the linear regression model reproduces the overall average dependence on instantaneous luminosity (L_inst). The spread is due to the impact of the other parameters that influence the RPC current at a given L_inst. Contact: cms-dpg-conveners-rpc@SPAMNOTcern.ch |
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The plot presents an example of the agreement between predicted (red line) and measured (black points) current for an RPC in the inner layer of barrel muon station 3 in sector 3 of wheel +2 (W+2_S3_RB2in) although HV working point is changed by 200V on 19 Aug 2018. Contact: cms-dpg-conveners-rpc@SPAMNOTcern.ch |
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Distribution of the difference between monitored and predicted current for an RPC in the outer layer in the barrel muon station 1 in sector 2 of wheel +1. One entry in the histogram is the difference between monitored and predicted current for an I_mon data point in 2018. Contact: cms-dpg-conveners-rpc@SPAMNOTcern.ch |
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The plot shows the distribution of the average difference between monitored and predicted current for 446 Barrel RPCs. One entry in the histogram is the average difference between monitored and predicted current for a Barrel RPC taken from the distribution of the difference for 2018. All RPCs entries with an average difference greater than 2 μA are chambers with problems. Contact: cms-dpg-conveners-rpc@SPAMNOTcern.ch |
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Due to HV problems the RPC in the outer layer in barrel muon station 1 in sector 2 of wheel +2 (W+2_S2_RB1out) one of the single gap layers was disconnected at the end of July 2017. The overall current drawn by the chamber decreases stepwise as seen in the top plot (black points). This results as a model with decreasing current with time (red line in the top plot). Using the latter model to predict the current for the next year (2018) leads to the disagreement between measured (black points in the bottom plot) and the predicted (red line in the bottom plot) current. Contact: cms-dpg-conveners-rpc@SPAMNOTcern.ch |
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The plot shows the monitored and predicted current of the RPC located in the negative phi-part of the barrel muon station 4 in sector 4 of wheel -1 (W-1_S4_RB4--) as an example case of an RPC with current that increases with a steeper slope than predicted. The RPC is found to have gas leak. Contact: cms-dpg-conveners-rpc@SPAMNOTcern.ch |
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The plot shows the monitored and predicted current of the RPC located in the positive phi-part of the barrel muon station 4 in sector 1 of wheel -1 (W-1_S4_RB4+) as an example case of RPC with current that is higher than predicted, but well below the overcurrent limit of the HV supply module. The RPC is found to have gas leak. Contact: cms-dpg-conveners-rpc@SPAMNOTcern.ch |
I | Attachment | History | Action | Size | Date | Who | Comment |
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2015n.png | r1 | manage | 233.1 K | 2020-01-15 - 12:47 | AndresCabrera | |
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2015p.png | r1 | manage | 234.9 K | 2020-01-15 - 12:48 | AndresCabrera | |
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2016n.png | r1 | manage | 233.1 K | 2020-01-15 - 12:47 | AndresCabrera | |
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2016p.png | r1 | manage | 237.2 K | 2020-01-15 - 12:48 | AndresCabrera | |
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2017n.png | r1 | manage | 234.2 K | 2020-01-15 - 12:47 | AndresCabrera | |
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2017p.png | r1 | manage | 238.1 K | 2020-01-15 - 12:48 | AndresCabrera | |
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2018n.png | r1 | manage | 239.1 K | 2020-01-15 - 12:47 | AndresCabrera | |
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2018p.png | r1 | manage | 240.6 K | 2020-01-15 - 12:48 | AndresCabrera | |
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Run2015_cRB.pdf | r1 | manage | 46.8 K | 2020-01-17 - 06:03 | HeewonLee | 2015 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2015_cRB.png | r1 | manage | 24.3 K | 2020-01-17 - 06:03 | HeewonLee | 2015 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2015_cREN.pdf | r1 | manage | 44.8 K | 2020-01-17 - 06:03 | HeewonLee | 2015 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2015_cREN.png | r1 | manage | 32.7 K | 2020-01-17 - 06:03 | HeewonLee | 2015 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2015_cREP.pdf | r1 | manage | 44.9 K | 2020-01-17 - 06:03 | HeewonLee | 2015 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2015_cREP.png | r1 | manage | 33.9 K | 2020-01-17 - 06:03 | HeewonLee | 2015 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2016_cRB.pdf | r1 | manage | 46.8 K | 2020-01-17 - 06:05 | HeewonLee | 2016 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2016_cRB.png | r1 | manage | 24.2 K | 2020-01-17 - 06:05 | HeewonLee | 2016 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2016_cREN.pdf | r1 | manage | 44.9 K | 2020-01-17 - 06:05 | HeewonLee | 2016 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2016_cREN.png | r1 | manage | 33.0 K | 2020-01-17 - 06:05 | HeewonLee | 2016 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2016_cREP.pdf | r1 | manage | 45.0 K | 2020-01-17 - 06:05 | HeewonLee | 2016 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2016_cREP.png | r1 | manage | 34.8 K | 2020-01-17 - 06:05 | HeewonLee | 2016 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2017_cRB.pdf | r1 | manage | 46.7 K | 2020-01-17 - 06:06 | HeewonLee | 2017 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2017_cRB.png | r1 | manage | 24.0 K | 2020-01-17 - 06:06 | HeewonLee | 2017 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2017_cREN.pdf | r1 | manage | 44.8 K | 2020-01-17 - 06:06 | HeewonLee | 2017 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2017_cREN.png | r1 | manage | 33.3 K | 2020-01-17 - 06:06 | HeewonLee | 2017 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2017_cREP.pdf | r1 | manage | 45.0 K | 2020-01-17 - 06:06 | HeewonLee | 2017 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2017_cREP.png | r1 | manage | 34.3 K | 2020-01-17 - 06:06 | HeewonLee | 2017 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2018_cRB.pdf | r1 | manage | 46.9 K | 2020-01-17 - 06:06 | HeewonLee | 2018 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2018_cRB.png | r1 | manage | 24.2 K | 2020-01-17 - 06:06 | HeewonLee | 2018 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2018_cREN.pdf | r1 | manage | 45.0 K | 2020-01-17 - 06:06 | HeewonLee | 2018 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2018_cREN.png | r1 | manage | 34.2 K | 2020-01-17 - 06:06 | HeewonLee | 2018 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2018_cREP.pdf | r1 | manage | 45.1 K | 2020-01-17 - 06:06 | HeewonLee | 2018 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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Run2018_cREP.png | r1 | manage | 35.8 K | 2020-01-17 - 06:06 | HeewonLee | 2018 RPC Efficiency 2D Plots by Barrel roll, Endcap+ roll and Endcap - roll |
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balconies.png | r1 | manage | 382.3 K | 2020-01-15 - 13:13 | AndresCabrera | |
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clu1.png | r1 | manage | 65.9 K | 2020-01-14 - 23:48 | AndresCabrera | |
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clu2.png | r1 | manage | 66.2 K | 2020-01-14 - 23:48 | AndresCabrera | |
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cluba.png | r1 | manage | 91.6 K | 2020-01-14 - 23:48 | AndresCabrera | |
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cludif.png | r1 | manage | 121.3 K | 2020-01-14 - 23:48 | AndresCabrera | |
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clurb1.png | r1 | manage | 102.5 K | 2020-01-14 - 23:48 | AndresCabrera | |
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clurb4.png | r1 | manage | 107.4 K | 2020-01-14 - 23:48 | AndresCabrera | |
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dose.png | r1 | manage | 198.5 K | 2020-01-15 - 13:14 | AndresCabrera | |
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efi20152d.png | r1 | manage | 161.9 K | 2020-01-15 - 12:22 | AndresCabrera | |
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efi20162d.png | r1 | manage | 156.6 K | 2020-01-15 - 12:22 | AndresCabrera | |
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efi20172d.png | r1 | manage | 155.8 K | 2020-01-15 - 12:22 | AndresCabrera | |
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efi20182d.png | r1 | manage | 157.4 K | 2020-01-15 - 12:22 | AndresCabrera | |
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efiba.png | r1 | manage | 92.1 K | 2020-01-14 - 23:28 | AndresCabrera | |
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efibackup.png | r1 | manage | 139.3 K | 2020-01-15 - 00:06 | AndresCabrera | |
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efidif.png | r1 | manage | 112.1 K | 2020-01-14 - 23:28 | AndresCabrera | |
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efirb1.png | r1 | manage | 97.2 K | 2020-01-14 - 23:28 | AndresCabrera | |
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efirb4.png | r1 | manage | 89.6 K | 2020-01-14 - 23:28 | AndresCabrera | |
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efith1.png | r1 | manage | 70.6 K | 2020-01-14 - 23:16 | AndresCabrera | |
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efith2.png | r1 | manage | 71.3 K | 2020-01-14 - 23:16 | AndresCabrera | |
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fluence.png | r1 | manage | 363.8 K | 2020-01-15 - 13:13 | AndresCabrera | |
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fluence_RPC_re3_re4.C | r1 | manage | 15.6 K | 2020-01-28 - 13:04 | RoumyanaHadjiiska | |
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fluence_RPC_re3_re4.png | r1 | manage | 26.6 K | 2020-01-28 - 13:04 | RoumyanaHadjiiska | |
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fluence_iRPC.C | r1 | manage | 13.0 K | 2020-01-28 - 13:04 | RoumyanaHadjiiska | |
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fluence_iRPC.png | r1 | manage | 25.9 K | 2020-01-28 - 13:04 | RoumyanaHadjiiska | |
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hitRate_re3_1_3000.C | r1 | manage | 12.9 K | 2020-01-28 - 12:39 | RoumyanaHadjiiska | |
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hitRate_re3_1_3000.png | r1 | manage | 25.8 K | 2020-01-28 - 12:30 | RoumyanaHadjiiska | |
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hitRate_re3_1_4000.C | r1 | manage | 12.9 K | 2020-01-28 - 12:39 | RoumyanaHadjiiska | |
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hitRate_re3_1_4000.png | r1 | manage | 24.3 K | 2020-01-28 - 12:30 | RoumyanaHadjiiska | |
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hitRate_re3_23_3000.C | r1 | manage | 15.0 K | 2020-01-28 - 12:39 | RoumyanaHadjiiska | |
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hitRate_re3_23_3000.png | r1 | manage | 27.2 K | 2020-01-28 - 12:30 | RoumyanaHadjiiska | |
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hitRate_re3_23_4000.C | r1 | manage | 15.1 K | 2020-01-28 - 12:39 | RoumyanaHadjiiska | |
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hitRate_re3_23_4000.png | r1 | manage | 28.1 K | 2020-01-28 - 12:30 | RoumyanaHadjiiska | |
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hitRate_re4_1_3000.C | r1 | manage | 12.6 K | 2020-01-28 - 12:39 | RoumyanaHadjiiska | |
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hitRate_re4_1_3000.png | r1 | manage | 25.7 K | 2020-01-28 - 12:30 | RoumyanaHadjiiska | |
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hitRate_re4_1_4000.C | r1 | manage | 12.6 K | 2020-01-28 - 12:39 | RoumyanaHadjiiska | |
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hitRate_re4_1_4000.png | r1 | manage | 24.2 K | 2020-01-28 - 12:30 | RoumyanaHadjiiska | |
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hitRate_re4_23_3000.C | r1 | manage | 15.3 K | 2020-01-28 - 12:39 | RoumyanaHadjiiska | |
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hitRate_re4_23_3000.png | r1 | manage | 27.5 K | 2020-01-28 - 12:30 | RoumyanaHadjiiska | |
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hitRate_re4_23_4000.C | r1 | manage | 15.3 K | 2020-01-28 - 12:39 | RoumyanaHadjiiska | |
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hitRate_re4_23_4000.png | r1 | manage | 28.3 K | 2020-01-28 - 12:30 | RoumyanaHadjiiska | |
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l5.png | r1 | manage | 324.1 K | 2020-01-15 - 13:15 | AndresCabrera | |
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l5r32.png | r1 | manage | 347.6 K | 2020-01-15 - 13:15 | AndresCabrera | |
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l7.png | r1 | manage | 298.5 K | 2020-01-15 - 13:15 | AndresCabrera | |
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l7r32.png | r1 | manage | 357.8 K | 2020-01-15 - 13:14 | AndresCabrera | |
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ml1.png | r1 | manage | 120.4 K | 2020-11-02 - 13:10 | AndresCabrera | |
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ml2.png | r1 | manage | 115.6 K | 2020-11-02 - 13:10 | AndresCabrera | |
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ml3.png | r1 | manage | 98.4 K | 2020-11-02 - 13:10 | AndresCabrera | |
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ml4.png | r1 | manage | 134.4 K | 2020-11-02 - 13:10 | AndresCabrera | |
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ml5.png | r1 | manage | 51.0 K | 2020-11-02 - 13:10 | AndresCabrera | |
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ml6.png | r1 | manage | 39.0 K | 2020-11-02 - 13:10 | AndresCabrera | |
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ml7.png | r1 | manage | 181.0 K | 2020-11-02 - 13:10 | AndresCabrera | |
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ml8.png | r1 | manage | 50.1 K | 2020-11-02 - 13:10 | AndresCabrera | |
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ml9.png | r1 | manage | 39.6 K | 2020-11-02 - 13:10 | AndresCabrera | |
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mll1.png | r1 | manage | 147.0 K | 2020-11-16 - 11:16 | AndresCabrera | |
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mll2.png | r1 | manage | 122.4 K | 2020-11-16 - 11:16 | AndresCabrera | |
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mll3.png | r1 | manage | 190.3 K | 2020-11-16 - 11:16 | AndresCabrera | |
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mll4.png | r1 | manage | 316.3 K | 2020-11-16 - 11:16 | AndresCabrera | |
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model.png | r1 | manage | 23.0 K | 2020-11-02 - 12:57 | AndresCabrera | |
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neutronFluence_balcony.C | r1 | manage | 30.3 K | 2020-01-28 - 13:08 | RoumyanaHadjiiska | |
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neutronFluence_balcony.png | r1 | manage | 27.1 K | 2020-01-28 - 13:08 | RoumyanaHadjiiska | |
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noi1.png | r1 | manage | 76.8 K | 2020-01-15 - 00:06 | AndresCabrera | |
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noi2.png | r1 | manage | 80.1 K | 2020-01-15 - 00:06 | AndresCabrera | |
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noidif.png | r1 | manage | 133.5 K | 2020-01-15 - 00:06 | AndresCabrera | |
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rb1.png | r1 | manage | 68.8 K | 2020-11-16 - 11:17 | AndresCabrera | |
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rb2.png | r1 | manage | 70.9 K | 2020-11-16 - 11:17 | AndresCabrera | |
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rb3.png | r1 | manage | 66.4 K | 2020-11-16 - 11:17 | AndresCabrera | |
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rb4.png | r1 | manage | 65.6 K | 2020-11-16 - 11:16 | AndresCabrera | |
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regions.png | r1 | manage | 420.6 K | 2020-01-15 - 13:15 | AndresCabrera | |
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shut1.pdf | r1 | manage | 35.6 K | 2020-11-01 - 21:50 | AndresCabrera | |
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shut1.png | r1 | manage | 29.0 K | 2020-11-01 - 21:50 | AndresCabrera | |
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shut2.pdf | r1 | manage | 57.6 K | 2020-11-01 - 21:50 | AndresCabrera | |
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shut2.png | r1 | manage | 65.2 K | 2020-11-01 - 21:50 | AndresCabrera | |
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tiDose_balcony.C | r1 | manage | 13.6 K | 2020-01-28 - 13:08 | RoumyanaHadjiiska | |
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tiDose_balcony.png | r1 | manage | 22.9 K | 2020-01-28 - 13:08 | RoumyanaHadjiiska | |
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tid_re31_3000_4000.C | r1 | manage | 7.6 K | 2020-01-28 - 13:03 | RoumyanaHadjiiska | |
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tid_re31_3000_4000.png | r1 | manage | 18.5 K | 2020-01-28 - 13:03 | RoumyanaHadjiiska | |
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tid_re41_3000_4000.C | r1 | manage | 7.4 K | 2020-01-28 - 13:03 | RoumyanaHadjiiska | |
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tid_re41_3000_4000.png | r1 | manage | 18.7 K | 2020-01-28 - 13:03 | RoumyanaHadjiiska | |
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w+1.png | r1 | manage | 92.9 K | 2020-11-16 - 11:16 | AndresCabrera | |
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w+2.png | r1 | manage | 90.3 K | 2020-11-16 - 11:16 | AndresCabrera | |
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w-1.png | r1 | manage | 180.1 K | 2020-11-16 - 11:16 | AndresCabrera | |
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w-2.png | r1 | manage | 87.1 K | 2020-11-16 - 11:16 | AndresCabrera | |
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w0.png | r1 | manage | 85.8 K | 2020-11-16 - 11:16 | AndresCabrera |