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ApprovedPlotsTileUpgrades

Introduction

This page lists the public plots, figures and schematics illustrating the detector upgrade.

Upgrades

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 		PMT_deviations_VS_integrated_charge_Preliminary.png
[eps]
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 		Average_PMT_deviation_VS_integrated_charge_Preliminary.png
[eps]

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

B11_MAPMT_Cs.png
[png] [eps]

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

A12_MAPMT_Cs.png
[png] [eps]

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

experimental_setup_Pisa.png
[png] [eps]
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 		daily_loop_Pisa.png
[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:
Var(q)/q = f G e + (Var(I)/I) q
where f is the noise excess factor, G is the PMT gain, and I is the light source intensity. The parameter k = Var(I)/I^2 is the coherence of the light source. It is expected to be less than 0.1% (0.08% in the plot) for our laser model and to vanish for an incoherent source like a diode. In this case k(diode) ~10^-5 +/- 10^-5. The value of Var(q) / q at q = 0 is proportional to the PMT gain. The gain values obtained with the two different methods are in agreement within less than 5%. Error bars include statistical and systematic errors.

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

intensity_scan_Pisa.png
[png] [eps]
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 		int_cov_cmpr_Pisa.png
[png] [eps]
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 		int_charge_Pisa.png
[png] [eps]
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 		PMT_resp_drift_Pisa.png
[png] [eps]
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 		gain_evol_Pisa.png
[png] [eps]

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

Signal_and_gain_evolution_pisa.png
[png]

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

Table_PMT_loss.png
[png]

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

311792_A13_signal_distribution.png
[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

NoiseMap.png
[pdf]
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

system_overview-3.png
[pdf]
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

tmdb_overview-2.png
[pdf]
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

MPU.png
[pdf]
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

TMDB_crate.png
[pdf]
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 		Cartoon of the Tile read-out upgrade electronics
pdf
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		 Cartoon of the Tile read-out demonstrator electronics
pdf
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		 Cartoon of the Tile read-out demonstrator electronics
pdf
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		 Cartoon of the Tile read-out demonstrator electronics
pdf
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		 Cesium Scan with Phase II Upgrade Electronics
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		 Laser Pulse with Phase II Upgrade Electronics
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		 Charge Injection Scan with Phase II Upgrade Electronics
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		 RMS of Charge Injection Scan with Phase II Upgrade Electronics

Major updates:
-- PawelKlimek - 2016-08-17

Responsible: PawelKlimek
Subject: public

Attachments Attachments
Topic attachments
I Attachment History Action Size Date Who Comment
PNGpng 311792_A13_signal_distribution.png r1 manage 15.0 K 2017-06-20 - 09:36 GiuliaDiGregorio Spread of the PMT response of A13 cell.
Unknown file formateps 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
PNGpng 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
Unknown file formateps 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
PNGpng 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
Unknown file formateps 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
PNGpng 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
PNGpng Demonstrator_CISScan.png r1 manage 32.5 K 2016-08-17 - 13:37 PawelKlimek  
PNGpng Demonstrator_CISScan_RMS.png r1 manage 24.0 K 2016-08-17 - 13:37 PawelKlimek  
PNGpng Demonstrator_CesiumScan.png r1 manage 45.6 K 2016-08-17 - 13:37 PawelKlimek  
PNGpng Demonstrator_LaserPulse.png r1 manage 20.3 K 2016-08-17 - 13:37 PawelKlimek  
PDFpdf MPU.pdf r1 manage 74.5 K 2016-12-14 - 13:19 AndreyRyzhov  
PNGpng MPU.png r1 manage 97.4 K 2016-12-14 - 13:19 AndreyRyzhov  
PDFpdf Minidrawer_Hybrid_architecture.pdf r1 manage 68.4 K 2016-08-17 - 13:37 PawelKlimek  
PNGpng Minidrawer_Hybrid_architecture.png r1 manage 74.1 K 2016-08-17 - 13:37 PawelKlimek  
PDFpdf NoiseMap.pdf r1 manage 40.4 K 2016-09-22 - 20:59 AndreyRyzhov  
PNGpng NoiseMap.png r1 manage 102.9 K 2016-09-22 - 20:59 AndreyRyzhov  
Unknown file formateps 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
PNGpng 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
Unknown file formateps PMT_resp_drift_Pisa.eps r1 manage 20.2 K 2017-02-21 - 16:59 FabrizioScuri PMT response evolution in the Pisa test bench
PNGpng PMT_resp_drift_Pisa.png r1 manage 17.9 K 2017-02-21 - 16:59 FabrizioScuri PMT response evolution in the Pisa test bench
PDFpdf 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.
PNGpng 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.
PDFpdf Superdrawer_arch_Upgrade.pdf r1 manage 59.1 K 2016-08-17 - 13:37 PawelKlimek  
PNGpng Superdrawer_arch_Upgrade.png r1 manage 63.1 K 2016-08-17 - 13:37 PawelKlimek  
PDFpdf TMDB_crate.pdf r1 manage 2417.6 K 2016-12-14 - 13:40 AndreyRyzhov  
PNGpng TMDB_crate.png r1 manage 1835.0 K 2016-12-14 - 13:40 AndreyRyzhov  
PNGpng 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
PNGpng 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
PNGpng 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
Unknown file formateps 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
PNGpng experimental_setup_Pisa.png r1 manage 74.7 K 2017-02-21 - 14:03 FabrizioScuri Experimental set-up for PMT robustness studies in Pisa
Unknown file formateps 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
PNGpng 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
Unknown file formateps int_charge_Pisa.eps r1 manage 9.1 K 2017-02-21 - 16:40 FabrizioScuri Integrated anode charge at the Pisa test bench
PNGpng int_charge_Pisa.png r1 manage 17.6 K 2017-02-21 - 16:40 FabrizioScuri Integrated anode charge at the Pisa test bench
Unknown file formateps 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
PNGpng 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
Unknown file formateps intensity_scan_Pisa.eps r1 manage 10.1 K 2017-02-21 - 15:26 FabrizioScuri PMT gain from laser and LED intesity scans
PNGpng intensity_scan_Pisa.png r1 manage 15.5 K 2017-02-21 - 15:26 FabrizioScuri PMT gain from laser and LED intesity scans
JPEGjpg system_overview-3.jpg r1 manage 154.4 K 2016-12-14 - 13:40 AndreyRyzhov  
PDFpdf system_overview-3.pdf r1 manage 158.8 K 2016-12-14 - 13:40 AndreyRyzhov  
PNGpng system_overview-3.png r1 manage 121.0 K 2016-12-14 - 13:42 AndreyRyzhov  
PDFpdf tile_Upgrade_Genrreadout.pdf r1 manage 73.6 K 2016-08-17 - 13:37 PawelKlimek  
PNGpng tile_Upgrade_Genrreadout.png r1 manage 92.2 K 2016-08-17 - 13:37 PawelKlimek  
PDFpdf tile_Upgrade_Genrreadout_2018.pdf r1 manage 73.6 K 2019-07-24 - 15:00 AlbertoValero TileCal Upgrade readout
PDFpdf tile_Upgrade_Genrreadout_detail_2018.pdf r1 manage 57.1 K 2019-07-24 - 15:00 AlbertoValero TileCal Upgrade readout
PDFpdf tile_Upgrade_readoutDemonstratorv2.pdf r1 manage 264.6 K 2016-08-17 - 13:37 PawelKlimek  
PNGpng tile_Upgrade_readoutDemonstratorv2.png r1 manage 321.6 K 2016-08-17 - 13:37 PawelKlimek  
JPEGjpg tmdb_overview-2.jpg r1 manage 273.5 K 2016-12-14 - 13:40 AndreyRyzhov  
PDFpdf tmdb_overview-2.pdf r1 manage 277.9 K 2016-12-14 - 13:40 AndreyRyzhov  
PNGpng tmdb_overview-2.png r1 manage 209.4 K 2016-12-14 - 13:42 AndreyRyzhov  
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Topic revision: r10 - 2019-07-24 - AlbertoValero
 
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