ApprovedPlotsTileUpgrades
Introduction
This page lists the public plots, figures and schematics illustrating the detector upgrade.Upgrades
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Time evolution of the PMT response for different PMT models at test bench In the test bench, the PMTs are excited using the laser light while a LED is used to generate charge to be integrated by the PMTs. The PMT response is normalized to the first day of data taking and to the signal of a reference PMT monitoring the light source intensity. Triangular points represent the PMT response of 3 PMTs model Hamamatsu R7877 dismounted from TileCal detector in February 2017. Once dismounted, these PMTs have integrated up to 40C in previous tests. Circular points and crosses represent the PMT response of 19 PMTs model Hamamatsu R11187, an evolution of model Hamamatsu R7877. This model is proposed for the PMT replacement for the HL-LHC. All the PMTs are equipped with high voltage active dividers to ensure the PMT linearity over a wide range of anode currents. There is a clear separation between the old and new PMT models. The new PMT model retains a good response in time under test and shows a smaller spread with respect to the old PMT model. Contacts: giulia.di.gregorio@cern.ch, sandra.leone@pi.infn.it, fabrizio.scuri@pi.infn.it and giorgio.chiarelli@pi.infn.it Reference: Approval meeting  Date: October 7th, 2020 |  [png] [pdf] [eps] |
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PMT response as a function of integrated anode charge for different PMT models at test bench In the test bench, the PMTs are excited using the laser light while a LED is used to generate charge to be integrated by the PMTs. The PMT response is normalized to the first day of data taking and to the signal of a reference PMT monitoring the light source intensity. Triangular points represent the PMT response of 3 PMTs model Hamamatsu R7877 dismounted from TileCal detector in February 2017. Once dismounted, these PMTs have integrated up to 40C in previous tests. Circular points and crosses represent the PMT response of 19 PMTs model Hamamatsu R11187, an evolution of model Hamamatsu R7877. This model is proposed for the PMT replacement for the HL-LHC. All the PMTs are equipped with high voltage active dividers to ensure the PMT linearity over a wide range of anode currents. There is a clear separation between the old and new PMT models. New model shows a smaller down-drift as a function of the integrated anode charge with a smaller spread with respect to the old PMT model. Contacts: giulia.di.gregorio@cern.ch, sandra.leone@pi.infn.it, fabrizio.scuri@pi.infn.it and giorgio.chiarelli@pi.infn.it Reference: Approval meeting Date: October 7th, 2020 |  [png] [pdf] [eps] |
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Average PMT response as a function of integrated anode charge for different PMT models at test bench In the test bench, the PMTs are excited using the laser light while a LED is used to generate charge to be integrated by the PMTs. The PMT response is normalized to the first day of data taking and to the signal of a reference PMT monitoring the light source intensity. Red triangular points represent the average response of 3 PMTs model Hamamatsu R7877 dismounted from TileCal detector in February 2017. Once dismounted, these PMTs have integrated up to 40C in previous tests. Black circular points represent the average response of 19 PMTs model Hamamatsu R11187, an evolution of model Hamamatsu R7877. This model is proposed for the PMT replacement for the HL-LHC. All the PMTs are equipped with high voltage active dividers to ensure the PMT linearity over a wide range of anode currents. The average PMT response variation spots the differences between the old and new PMT model. New PMT model shows a smaller down-drift as a function of the integrated anode charge. Contacts: giulia.di.gregorio@cern.ch, sandra.leone@pi.infn.it, fabrizio.scuri@pi.infn.it and giorgio.chiarelli@pi.infn.it Reference: Approval meeting Date: October 7th, 2020 |  [png] [pdf] [eps] |
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This plot shows the time evolution of PMT response for different PMTs and PMT models at test bench. Individual PMT response is normalised to the first day of observation and to the signal of a reference PMT monitoring the light source intensity. The reference PMT, model Hamamatsu R1636, is not integrating sizable amounts of anode charge and its stability is measured to be 0.5% level. Circular points represent the PMT relative response of 7 PMTs model Hamamatsu R7877 dismounted from TileCal detector in February 2017. They were reading different cell types (A, BC, D, E) having integrated 1 to 5 C during Run 1 and first period of Run 2. Triangular points represent the PMT relative response of 4 PMTs model Hamamatsu R11187, an evolution of model Hamamatsu R7877. This model is proposed for PMT replacement for HL-LHC. New model shows a smaller down-drift as a function of the integrated anode charge. Contacts: giulia.di.gregorio@cern.ch, sandra.leone@pi.infn.it, and fabrizio.scuri@pi.infn.it Reference: https://cds.cern.ch/record/2317070?ln=it Date: May, 2018 |  [eps] |
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This plot shows the time evolution of average PMT relative response for different PMT models: test bench results. Individual PMT response is normalised to the first day of observation and to the signal of a reference PMT monitoring the light source intensity. The reference PMT, model Hamamatsu R1636, is not integrating sizable amounts of anode charge and its stability is measured to be 0.5% level. Blu circular points represent the average response of 7 PMTs model Hamamatsu R7877 dismounted from TileCal detector in February 2017. They were reading different cell type (A, BC, D, E) having integrated 1 to 5 C during Run 1 and the first period of Run 2. Red triangular points represent the average response of 4 PMTs model Hamamatsu R11187, an evolution of model Hamamatsu R7877. This model is proposed for PMT replacement for HL-LHC. The average PMT relative response is fitted with a double exponential distinguishing the PMT model. Contacts: giulia.di.gregorio@cern.ch, sandra.leone@pi.infn.it, and fabrizio.scuri@pi.infn.it Reference: https://cds.cern.ch/record/2317070?ln=it Date: May, 2018 |  [eps] |
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Single and Multi-anode PMT response time profiles of the Cs-source scan in the Cell B11. The green curve corresponds to the response of the single-anode PMT to the passage of the Cs-source in 16 tile rows. Superimposed to the single-anode PMT response are the time profile signals of the individual multi-anode PMT pixels (8x8 grid) showing the maximum amplitude at the time of each maximum of the single-anode PMT profile. In pixels (2,8) , (4,3), (7,1), there are two different positions of the source, where the same pixel has a maximum response value. Contacts: tigran.mkrtchyan@cern.ch, oleg.solovyanov@cern.ch, and fabrizio.scuri@pi.infn.it Reference: https://cds.cern.ch/record/2270974 Date: June 28th, 2017 |  [png] [eps] |
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Single and Multi-anode PMT response time profiles of the Cs-source scan in the Cell A12. The green curve corresponds to the response of the single-anode PMT to the passage of the Cs-source in 9 tile rows. Superimposed to the single-anode PMT response are the time profile signals of the individual multi-anode PMT pixels (8x8 grid) showing the maximum amplitude at the time of each maximum of the single-anode PMT profile. Optical cross-talk is moderate, only in pixel (7,2), the light from two tiles is seen with almost equal collection efficiency by the same pixel. Contacts: tigran.mkrtchyan@cern.ch, oleg.solovyanov@cern.ch, and fabrizio.scuri@pi.infn.it Reference: https://cds.cern.ch/record/2270974 Date: June 28th, 2017 |  [png] [eps] |
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The experimental setup of the Pisa/INFN test bench for PMT qualification.
Main parts inside the optics box are: the laser head, a remote controlled filter wheel to change the transmitted beam intensity, two reference PMTs used to monitor the laser beam intensity, a beam expander, and a white fiber bundle to distribute the light to the tested PMTs. A green LED placed in front of the beam expander is used to flash higher intensity pulses for fast integration of large amounts of PMT anode charge.
PMTs under test are placed in a separated black box. Optical link between optics box and PMT box is done with white fibers. Temperature sensors are placed on the laser head and inside the PMT box. Contacts: v.kazanine@mail.ru, sandra.leone@pi.infn.it, and fabrizio.scuri@pi.infn.it Reference: https://indico.cern.ch/event/2252701/ Date: February 21st, 2017 |  [png] [eps] |
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The daily loop for PMT response measurement and large anode charge integration. Each daily measurements consists of 9 cycles. In each cycle : - 10k events with laser pulsing are acquired at maximum intensity; - 1k laser events are acquired with 6 different OD filters in the wheel for the intensity scan; - 10k events with LED pulsing are acquired; - The rest and major time of the cycle (about 2 house and 20 minutes), laser or LED pulsing for integrating anode charge without data storing. Contacts: v.kazanine@mail.ru, sandra.leone@pi.infn.it, and fabrizio.scuri@pi.infn.it Reference: https://indico.cern.ch/event/2252701/ Date: February 21st, 2017 |  [png] [eps] |
PMT absolute gain measurements with the intensity scan method. Examples of the variance divided by the average value of the pulse height distribution of a tested PMT as a function of its average signal in a laser intensity scan (red points) and in a diode intensity scan (blue points). A linear fit is superimposed assuming the following simplified model: | |
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Time stability of the PMT absolute gain.
PMT gain calculated with the intensity scan method (open circles)
and the covariance method (full circles). On day 20/01/2017 the PMT HV was increased from 700 V to 830 V. As expected, an increase of the gain by a factor about 2 is measured in all cases. The covariance method appears to be more precise, but a very good general agreement between the two methods is observed. No measurable gain drift is seen in the observation period of PMT excitation. Error bars include statistical and systematic (dominant) contributions. Contacts: v.kazanine@mail.ru, sandra.leone@pi.infn.it, and fabrizio.scuri@pi.infn.it Reference: https://indico.cern.ch/event/2252701/ Date: February 21st, 2017 |  [png] [eps] |
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PMT integrated anode charge. Integration of PMT anode charge is made at daily constant rate of about 0.5 C per day at about 5 uA average anode current. 30 C correspond approximately to half the total anode charge integrated during the entire LHC run II by the most exposed cells (A13) of the Tile Calorimeter. Contacts: v.kazanine@mail.ru, sandra.leone@pi.infn.it, and fabrizio.scuri@pi.infn.it Reference: https://indico.cern.ch/event/2252701/ Date: February 21st, 2017 |  [png] [eps] |
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Time evolution of the PMT response. Individual PMT response is normalized to the first day of observation and to the signal of a reference PMT monitoring the light source intensity. The reference PMT, model Hamamatsu R1636, not integrating sizable amounts of anode charge, was measured to be stable at 0.5% level. Each point is the average over 9 measurements taken each day. Error bars include statistical and systematic (dominant) contributions. Typical down-drift per integrated charge is about -0.1% / C. This value is consistent with the down-drift per integrated anode charge measured for PMTs mounted on detector Contacts: v.kazanine@mail.ru, sandra.leone@pi.infn.it, and fabrizio.scuri@pi.infn.it Reference: https://indico.cern.ch/event/2252701/ Date: February 21st, 2017 |  [png] [eps] |
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Time evolution of the PMT absolute gain. Individual absolute gain is computed with a statistical method based on the correlations between signals from PMT pairs (covariance method) and normalized to the first observation day. Gain of each individual PMT is the average of the values from all possible pairings with all other PMTs in the test sample (14). Individual PMT gain is averaged over 9 measurements taken each day. Error bars include statistical and systematic (dominant) contributions. Daily central values are stable whitin 1% along the observation period. By comparing the evolution of the PMT gain and the evolution of the PMT global response, it is possible to derive the loss in cathode Q.E. Contacts: v.kazanine@mail.ru, sandra.leone@pi.infn.it, and fabrizio.scuri@pi.infn.it Reference: https://indico.cern.ch/event/2252701/ Date: February 21st, 2017 |  [png] [eps] |
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Time evolution of the PMT response and PMT absolute gain at test bench. The PMT response and the PMT absolute gain are normalized to the first day of observation and to the signal of a reference PMT monitoring the light source intensity. Each point is the average over the response of 9 PMTs. Error bars include statistical and systematic (dominant) uncertainty. The average integrated charge in the observation period is 20 C so the typical down-drift per integrated charge is about -0.2% / C. The PMTs used were dismounted from TileCal detector in February 2017; they were reading out different cell type (A, BC, D, E) having integrated 1 to 5 C during run-I and run-II. Contacts: giulia.di.gregorio@cern.ch, sandra.leone@pi.infn.it, and fabrizio.scuri@pi.infn.it Reference: https://indico.cern.ch/event/642867/ Date: June 20th, 2017 |  [png] |
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Estimation of the PMT response loss at HL-LHC era. Time evolution of the PMT response shows a fairly exponential decay shape both for measurements of on-detector sample and for test bench measurements. Assuming that the PMT response degrades exponentially and estimating the decay constant from the available measurement at the end of run I ad after 20 and 35 fb-1 in run II, it is possible to estimate PMT response loss. At the end of HL-LHC era, more exposed PMTs will have lost 50% of their response. Contacts: giulia.di.gregorio@cern.ch, sandra.leone@pi.infn.it, and fabrizio.scuri@pi.infn.it Reference: https://indico.cern.ch/event/642867/ Date: June 20th, 2017 |  [png] |
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Spread of the PMT responses of A13 cell. Distribution of the A13 drift for a laser calibration run 311792 taken on 31 October 2016. The drift is evaluated with respect to the first laser calibration run after the last Cesium scan (25 May 2016). Only good PMT reading out are considered. The PMT under study have integrated 5 C in 2016. The RMS of the distribution is about 1.5 %, consistent with Hamamatsu specifics for same integrated anode charge. Laser accurancy is estimated to be 0,5 %. Contacts: giulia.di.gregorio@cern.ch, sandra.leone@pi.infn.it, and fabrizio.scuri@pi.infn.it Reference: https://indico.cern.ch/event/642867/ Date: June 20th, 2017 |  [png] |
TMDB electronic noise channel map acquired during the pedestal run 304457 of 2016. RMS of noise distribution converted to MeV is shown on the plot. Fourteen channels have problems (2.7%) – white color. Global noise RMS average is better than the estimation of 2013 (140 MeV): Side A (EBA) - 105.5 MeV, Side C (EBC) - 105.3 MeV.
Contacts: andrey.ryzhov@SPAMNOTcern.ch and dayane.oliveira.goncalves@SPAMNOTcern.ch Reference: ATL-COM-TILECAL-2016-033 Date: 19th September 2016 |
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Figure shows system architecture. The whole system consists of 16 TMDBs. Each TMDB receives signal from 8 TileCal modules (32 PMTs) and has 3 optical links to interface with the TGC Sector-Logic Boards.
Contacts: andrey.ryzhov@SPAMNOTcern.ch Reference: https://twiki.cern.ch/twiki/bin/view/Atlas/LevelOneTileEndcapMuontrigger Date: 19th September 2016 |
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TMDB block diagram. The TMDB is a 9U VME board, where the VME interface is handled by a dedicated FPGA (Cyclone III from Altera). Each board receives 32 channels from the 16 TileCal cells and performs the signal digitization using 8-bit flash ADCs. The digital signals from the 32 channels feed the core FPGA (Spartan-6 from Xilinx), where the energy estimation and signal detection is performed.
Contacts: andrey.ryzhov@SPAMNOTcern.ch Reference: https://twiki.cern.ch/twiki/bin/view/Atlas/LevelOneTileEndcapMuontrigger Date: 19th September 2016 |
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Figure shows the block diagram of the Module Processing Unit (MPU). The TMDB output corresponds to the energy value, in some arbitrary units, that is estimated by performing a inner product between the Matched Filter coefficients and the incoming time samples in ADC counts. The TMDB output is used to provide four TMDB decision triggers that are based on thresholds, two from the D6 cell and other two from D5+D6 cells.The trigger decision is obtained via AND logic between “Peak-detector" and “Thresholds" algorithms.
Contacts: andrey.ryzhov@SPAMNOTcern.ch Reference: https://twiki.cern.ch/twiki/bin/view/Atlas/LevelOneTileEndcapMuontrigger Date: 19th September 2016 |
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Photo of the TMDB crate installed in the ATLAS counting room.
Contacts: andrey.ryzhov@SPAMNOTcern.ch Reference: https://twiki.cern.ch/twiki/bin/view/Atlas/LevelOneTileEndcapMuontrigger Date: 19th September 2016 |
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The analog pulses from the PMTs undergo conditioning and digitization in the first stage of the electronics, and transferred to the Daughter board at 40 MHz. The digital data are formatted and transmitted to the super Read-Out Drivers (sROD) through parallel fiber optic links using the GBT protocol. The sROD stores the digital data in pipelines and in parallel computes and transmits digital sums to the Calorimeter Trigger System. Upon the reception of the L1 accept signal, the digital signal are processed and transferred to the Read-Out Buffer (ROB). Contact: Carlos.Solans@cern.ch and Alberto.Valero@cern.ch Reference: ATLAS Tile weekly operations meting (06/12/12) ATLAS-PLOT-TILECAL-2012-013 Date: 10th January 2013 |
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| The TileCal demonstrator hybrid read-out will combine a fully functional Phase-II read-out system with the analog trigger signals of the present system. The analog pulses from the PMTs undergo conditioning and amplification in the new version of the 3-in-1 card in two gains (high and low) with a ratio of 1:64. Low gain signals are summed in groups by adder cards and transmitted to the L1 Calorimeter system (dashed lines). The analog signals are digitized in the Main board at 40 MHz and transferred to the Daughter board which formats and transfers the data to the sROD through parallel fiber optic links using the GBT protocol. The sROD stores the digital data in pipelines and in parallel computes and transmits digital sums to the L1 Calorimeter System. Upon the reception of the L1 accept signal, the digital signal are processed and transferred to the Read-Out Buffer (ROB). Contact: Carlos.Solans@cern.ch and Alberto.Valero@cern.ch Reference: ATLAS Tile weekly operations meting (06/12/12) ATLAS-PLOT-TILECAL-2012-013 Date: 10th January 2013 |
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| The front-end electronics is divided in four identical Main Boards reading 12 PMTs each. The analog signals received from the PMTs are conditioned, digitized and transferred to the Daughter board which formats and transmits the digital data to the sROD though parallel fiber optic links. The sROD provides digital trigger information to the L0 Calorimeter Trigger. Contact: Carlos.Solans@cern.ch and Alberto.Valero@cern.ch Reference: ATLAS Tile weekly operations meting (06/12/12) ATLAS-PLOT-TILECAL-2012-013 Date: 10th January 2013 |
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| The TileCal demonstrator hybrid read-out will combine a fully functional Phase-II read-out system with the analog trigger signals of the present system. The front-end electronics is divided in four identical Main Boards reading 12 PMTs each. The analog signals received from the PMTs are conditioned, digitized and transferred to the Daughter board which formats and transmits the digital data to the sROD though parallel fiber optic links. The analog signals from the PMTs are summed and transmitted to the L1 Calorimeter Trigger. Contact: Carlos.Solans@cern.ch and Alberto.Valero@cern.ch Reference: ATLAS Tile weekly operations meting (06/12/12) ATLAS-PLOT-TILECAL-2012-013 Date: 10th January 2013 |
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| A Cesium scan peak using the Demonstrator Drawer of the Phase II Upgrade. The integrator response is shown over a period of 4 seconds for Extended Barrel Cell D-6, which contains 75 tiles. The Phase II Electronics return a 16-bit value, which has been scaled down to the currently used 12-bit value for interfacing with the current software. This data was recorded at CERN using a full Superdrawer inserted into an EBA module, using the Tile Preprocessor emulator, CANBus Interface, and the usual Cesium scan software. Contact: Jeff.Dandoy@cern.ch and Oleg.Solovyanov@cern.ch Reference: TileCal Operation and Maintenance Weekly Meeting (06/08/15) ATL-COM-TILECAL-2015-053 Date: 11th August 2015 |
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| A LASER pulse recorded using the Demonstrator Drawer of the Phase II Upgrade. The Low Gain channel is seen responding to a LASER pulse in the hundreds of GeVs. This data was recorded at CERN using a full Superdrawer inserted into an EBA module, using the Tile Preprocessor Emulator and Tile Preprocessor Interface. Contact: Jeff.Dandoy@cern.ch and Giulio.Usai@cern.ch Reference: TileCal Operation and Maintenance Weekly Meeting (06/08/15) ATL-COM-TILECAL-2015-053 Date: 11th August 2015 |
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| A Charge Injection Scan using the Demonstrator Drawer of the Phase II Upgrade. Each charge injection step is sampled 50 times and the average is plotted for that step. This data was recorded at The University of Chicago using a single Mindrawer with a Tile Preprocessor Emulator. Contact: Jeff.Dandoy@cern.ch Reference: TileCal Operation and Maintenance Weekly Meeting (06/08/15) ATL-COM-TILECAL-2015-053 Date: 11th August 2015 |
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| The RMS of a Charge Injection Scan using the Demonstrator Drawer of the Phase II Upgrade. Each charge injection step is sampled 50 times and the RMS of these 50 samples is plotted for each step. This data was recorded at The University of Chicago using a single Mindrawer with a Tile Preprocessor Emulator. Contact: Jeff.Dandoy@cern.ch Reference: TileCal Operation and Maintenance Weekly Meeting (06/08/15) ATL-COM-TILECAL-2015-053 Date: 11th August 2015 |  |
Major updates:
-- PawelKlimek - 2016-08-17 Responsible: PawelKlimek
Subject: public
| I | Attachment | History | Action | Size | Date | Who | Comment |
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311792_A13_signal_distribution.png | r1 | manage | 15.0 K | 2017-06-20 - 09:36 | GiuliaDiGregorio | Spread of the PMT response of A13 cell. |
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A12_MAPMT_Cs.eps | r1 | manage | 36.6 K | 2017-06-28 - 09:31 | TigranMkrtchyan | Single and Multi-anode PMT response time profiles of the Cs-source scan in the Cell A12 |
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A12_MAPMT_Cs.png | r1 | manage | 223.7 K | 2017-06-28 - 09:31 | TigranMkrtchyan | Single and Multi-anode PMT response time profiles of the Cs-source scan in the Cell A12 |
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Average_PMT_deviation_VS_integrated_charge_Preliminary.eps | r1 | manage | 21.2 K | 2018-05-15 - 15:09 | GiuliaDiGregorio | Time evolution of average PMT relative response for different PMT models: test bench results |
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Average_PMT_deviation_VS_integrated_charge_Preliminary.png | r1 | manage | 59.8 K | 2018-05-15 - 15:09 | GiuliaDiGregorio | Time evolution of average PMT relative response for different PMT models: test bench results |
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B11_MAPMT_Cs.eps | r1 | manage | 99.0 K | 2017-06-28 - 09:32 | TigranMkrtchyan | Single and Multi-anode PMT response time profiles of the Cs-source scan in the Cell B11 |
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B11_MAPMT_Cs.png | r1 | manage | 320.5 K | 2017-06-28 - 09:32 | TigranMkrtchyan | Single and Multi-anode PMT response time profiles of the Cs-source scan in the Cell B11 |
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Demonstrator_CISScan.png | r1 | manage | 32.5 K | 2016-08-17 - 13:37 | PawelKlimek | |
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Demonstrator_CISScan_RMS.png | r1 | manage | 24.0 K | 2016-08-17 - 13:37 | PawelKlimek | |
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Demonstrator_CesiumScan.png | r1 | manage | 45.6 K | 2016-08-17 - 13:37 | PawelKlimek | |
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Demonstrator_LaserPulse.png | r1 | manage | 20.3 K | 2016-08-17 - 13:37 | PawelKlimek | |
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MPU.pdf | r1 | manage | 74.5 K | 2016-12-14 - 13:19 | AndreyRyzhov | |
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MPU.png | r1 | manage | 97.4 K | 2016-12-14 - 13:19 | AndreyRyzhov | |
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Minidrawer_Hybrid_architecture.pdf | r1 | manage | 68.4 K | 2016-08-17 - 13:37 | PawelKlimek | |
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Minidrawer_Hybrid_architecture.png | r1 | manage | 74.1 K | 2016-08-17 - 13:37 | PawelKlimek | |
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NoiseMap.pdf | r1 | manage | 40.4 K | 2016-09-22 - 20:59 | AndreyRyzhov | |
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NoiseMap.png | r1 | manage | 102.9 K | 2016-09-22 - 20:59 | AndreyRyzhov | |
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PMT_deviations_VS_integrated_charge_Preliminary.eps | r1 | manage | 21.0 K | 2018-05-15 - 15:05 | GiuliaDiGregorio | Time evolution of PMT response for different PMTs and PMT models at test bench |
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PMT_deviations_VS_integrated_charge_Preliminary.png | r1 | manage | 64.9 K | 2018-05-15 - 15:05 | GiuliaDiGregorio | Time evolution of PMT response for different PMTs and PMT models at test bench |
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PMT_oldnew_average_response_charge_December_2020_July_2021_LED_on.eps | r1 | manage | 17.3 K | 2021-10-11 - 16:19 | GiuliaDiGregorio | Average PMT response as a function of integrated anode charge for different PMT models at test bench |
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PMT_oldnew_average_response_charge_December_2020_July_2021_LED_on.pdf | r1 | manage | 18.0 K | 2021-10-11 - 16:19 | GiuliaDiGregorio | Average PMT response as a function of integrated anode charge for different PMT models at test bench |
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PMT_oldnew_average_response_charge_December_2020_July_2021_LED_on.png | r1 | manage | 23.5 K | 2021-10-11 - 16:19 | GiuliaDiGregorio | Average PMT response as a function of integrated anode charge for different PMT models at test bench |
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PMT_resp_drift_Pisa.eps | r1 | manage | 20.2 K | 2017-02-21 - 16:59 | FabrizioScuri | PMT response evolution in the Pisa test bench |
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PMT_resp_drift_Pisa.png | r1 | manage | 17.9 K | 2017-02-21 - 16:59 | FabrizioScuri | PMT response evolution in the Pisa test bench |
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PMT_response_anode_charge_December_2020_July_2021_LED_on.eps | r1 | manage | 54.0 K | 2021-10-11 - 15:56 | GiuliaDiGregorio | PMT response as a function of integrated anode charge for different PMT models at test bench |
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PMT_response_anode_charge_December_2020_July_2021_LED_on.pdf | r1 | manage | 127.0 K | 2021-10-11 - 15:56 | GiuliaDiGregorio | PMT response as a function of integrated anode charge for different PMT models at test bench |
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PMT_response_anode_charge_December_2020_July_2021_LED_on.png | r1 | manage | 101.1 K | 2021-10-11 - 15:56 | GiuliaDiGregorio | PMT response as a function of integrated anode charge for different PMT models at test bench |
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PMT_response_day_December_2020_July_2021_LED_on.eps | r1 | manage | 55.3 K | 2021-10-11 - 15:44 | GiuliaDiGregorio | Time evolution of the PMT response for different PMT models at test bench |
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PMT_response_day_December_2020_July_2021_LED_on.pdf | r1 | manage | 119.0 K | 2021-10-11 - 15:44 | GiuliaDiGregorio | Time evolution of the PMT response for different PMT models at test bench |
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PMT_response_day_December_2020_July_2021_LED_on.png | r1 | manage | 103.1 K | 2021-10-11 - 15:44 | GiuliaDiGregorio | Time evolution of the PMT response for different PMT models at test bench |
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Signal_and_gain_evolution_pisa.pdf | r1 | manage | 31.1 K | 2017-06-20 - 09:03 | GiuliaDiGregorio | Time evolution of the PMT response and PMT absolute gain at test bench. |
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Signal_and_gain_evolution_pisa.png | r1 | manage | 26.2 K | 2017-06-20 - 09:16 | GiuliaDiGregorio | Time evolution of the PMT response and PMT absolute gain at test bench. |
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Superdrawer_arch_Upgrade.pdf | r1 | manage | 59.1 K | 2016-08-17 - 13:37 | PawelKlimek | |
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Superdrawer_arch_Upgrade.png | r1 | manage | 63.1 K | 2016-08-17 - 13:37 | PawelKlimek | |
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TMDB_crate.pdf | r1 | manage | 2417.6 K | 2016-12-14 - 13:40 | AndreyRyzhov | |
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TMDB_crate.png | r1 | manage | 1835.0 K | 2016-12-14 - 13:40 | AndreyRyzhov | |
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Table_PMT_loss.png | r1 | manage | 85.6 K | 2017-06-20 - 09:25 | GiuliaDiGregorio | Estimation of the PMT response loss at HL-LHC era |
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daily_loop_Pisa.png | r1 | manage | 24.5 K | 2017-02-21 - 14:44 | FabrizioScuri | Daily loop for data taking in the Pisa test bench |
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daily_loop_Pisa_v.png | r1 | manage | 63.9 K | 2017-02-21 - 14:38 | FabrizioScuri | Daily loop for data taking in the Pisa test bench |
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daily_loop_Pisa_v1.eps | r1 | manage | 90.6 K | 2017-02-21 - 14:38 | FabrizioScuri | Daily loop for data taking in the Pisa test bench |
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experimental_setup_Pisa.png | r1 | manage | 74.7 K | 2017-02-21 - 14:03 | FabrizioScuri | Experimental set-up for PMT robustness studies in Pisa |
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gain_evol_Pisa.eps | r1 | manage | 22.4 K | 2017-02-21 - 17:20 | FabrizioScuri | Time evolution of the PMT gain at the Pisa test bench |
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gain_evol_Pisa.png | r1 | manage | 20.9 K | 2017-02-21 - 17:20 | FabrizioScuri | Time evolution of the PMT gain at the Pisa test bench |
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int_charge_Pisa.eps | r1 | manage | 9.1 K | 2017-02-21 - 16:40 | FabrizioScuri | Integrated anode charge at the Pisa test bench |
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int_charge_Pisa.png | r1 | manage | 17.6 K | 2017-02-21 - 16:40 | FabrizioScuri | Integrated anode charge at the Pisa test bench |
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int_cov_cmpr_Pisa.eps | r1 | manage | 18.4 K | 2017-02-21 - 16:20 | FabrizioScuri | Comparison of the PMT gain measured with different methods |
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int_cov_cmpr_Pisa.png | r1 | manage | 16.8 K | 2017-02-21 - 16:20 | FabrizioScuri | Comparison of the PMT gain measured with different methods |
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intensity_scan_Pisa.eps | r1 | manage | 10.1 K | 2017-02-21 - 15:26 | FabrizioScuri | PMT gain from laser and LED intesity scans |
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intensity_scan_Pisa.png | r1 | manage | 15.5 K | 2017-02-21 - 15:26 | FabrizioScuri | PMT gain from laser and LED intesity scans |
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system_overview-3.jpg | r1 | manage | 154.4 K | 2016-12-14 - 13:40 | AndreyRyzhov | |
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system_overview-3.pdf | r1 | manage | 158.8 K | 2016-12-14 - 13:40 | AndreyRyzhov | |
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system_overview-3.png | r1 | manage | 121.0 K | 2016-12-14 - 13:42 | AndreyRyzhov | |
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tile_Upgrade_Genrreadout.pdf | r1 | manage | 73.6 K | 2016-08-17 - 13:37 | PawelKlimek | |
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tile_Upgrade_Genrreadout.png | r1 | manage | 92.2 K | 2016-08-17 - 13:37 | PawelKlimek | |
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tile_Upgrade_Genrreadout_2018.pdf | r1 | manage | 73.6 K | 2019-07-24 - 15:00 | AlbertoValero | TileCal Upgrade readout |
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tile_Upgrade_Genrreadout_detail_2018.pdf | r1 | manage | 57.1 K | 2019-07-24 - 15:00 | AlbertoValero | TileCal Upgrade readout |
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tile_Upgrade_readoutDemonstratorv2.pdf | r1 | manage | 264.6 K | 2016-08-17 - 13:37 | PawelKlimek | |
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tile_Upgrade_readoutDemonstratorv2.png | r1 | manage | 321.6 K | 2016-08-17 - 13:37 | PawelKlimek | |
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tmdb_overview-2.jpg | r1 | manage | 273.5 K | 2016-12-14 - 13:40 | AndreyRyzhov | |
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tmdb_overview-2.pdf | r1 | manage | 277.9 K | 2016-12-14 - 13:40 | AndreyRyzhov | |
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tmdb_overview-2.png | r1 | manage | 209.4 K | 2016-12-14 - 13:42 | AndreyRyzhov |
Topic revision: r11 - 2021-10-11 - GiuliaDiGregorio
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