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LArHGTDPublicPlots

Introduction

This page contains plots related to the High-Granularity Timing Detector project part of the ATLAS Phase-II upgrade, to be used by ATLAS speakers at conferences and similar events.

Please do not add figures on your own. Contact the responsible HGTD project leader in case of questions and/or suggestions.

All plots from the Technical Proposal (link).

2018/2019 Sim/Perf figures (TDR draft April 2019)

Module overlap scheme: Schematic drawing showing the overlap between the modules on the front and back of one cooling disk of the HGTD. The sensors overlap 20% at r > 320 mm, and 80% for r < 320 mm. Sim_July2019_1_ModuleOverlaps pdf, png
Material distributions: Material distributions for the HGTD as a function of pseudorapidity $\eta$, expressed in (a) radiation lengths $X_0$ and (b) nuclear interaction lengths $\lambda_0$. The material is broken down into various components of the HGTD. The moderator is situated completely behind the active detector but included here as it is located within the hermetic vessel of the HGTD. Sim_July2019_2a_x0 pdf, png
Material distributions: Material distributions for the HGTD as a function of pseudorapidity $\eta$, expressed in (a) radiation lengths $X_0$ and (b) nuclear interaction lengths $\lambda_0$. The material is broken down into various components of the HGTD. The moderator is situated completely behind the active detector but included here as it is located within the hermetic vessel of the HGTD. Sim_July2019_2b_lambda pdf, png
Main HGTD design parameters Sim_July2019_3_MainParameters pdf, png
Event display: Visualization of a simulated QCD dijet event showing HGTD hits and trajectories of charged particles. An angular slice has been removed, and volumes representing some ITk services and all services and supports of the HGTD are also removed to expose the individual modules. Sim_July2019_4_EventDisplay pdf, png
Module placement: The layout of individual HGTD modules is shown for the first cooling disk for (a) one quadrant without any rotation, and for (b) the full disk with the 15 degree rotation. The modules are laid out in the same way for the second cooling disk (not shown) which is rotated in the opposite direction to avoid non-instrumented gaps from overlapping for both disks. Sim_July2019_5a_ModulePlacementQuadrant pdf, png
Module placement: The layout of individual HGTD modules is shown for the first cooling disk for (a) one quadrant without any rotation, and for (b) the full disk with the 15 degree rotation. The modules are laid out in the same way for the second cooling disk (not shown) which is rotated in the opposite direction to avoid non-instrumented gaps from overlapping for both disks. Sim_July2019_5b_ModulePlacementFullDisk pdf, png
Timing resolution: The expected HGTD timing resolution (a) per hit and (b) per track as function of radius and $\eta$ after different amounts of delivered integrated luminosity at the HL-LHC. The different curves show how the sensor timing resolution deteriorates due to radiation exposure. The scenarios shown here include a planned replacement of the modules at $R < 320$~mm after half of the HL-LHC program. The intrinsic timing resolution of the sensors and the contribution from the readout electronics are both considered and are added in quadrature. Sim_July2019_6a_HitTimingResolution pdf, png
Timing resolution: The expected HGTD timing resolution (a) per hit and (b) per track as function of radius and $\eta$ after different amounts of delivered integrated luminosity at the HL-LHC. The different curves show how the sensor timing resolution deteriorates due to radiation exposure. The scenarios shown here include a planned replacement of the modules at $R < 320$~mm after half of the HL-LHC program. The intrinsic timing resolution of the sensors and the contribution from the readout electronics are both considered and are added in quadrature. Sim_July2019_6b_TrackTimingResolution pdf, png
Occupancy: Hit occupancy as a function of the radius for a pixel size of 1.3 x 1.3 mm2 at a pileup of 200. Sim_July2019_7_OccupancyITkStep3p0 pdf, png
Number of hits per track: The average number of hits as a function of the position in x-y plane. The overlap between the active areas of the modules on the front and back of the cooling plates is 80% at r < 320 mm and 20% at larger radii.. Sim_July2019_8_nHits_xy png

2018/2019 HGTD T0 calibration performance (TDR draft April 2019)

HGTD hit time distribution, before (red) and after (blue) the reference time, t0 , calibration procedure. The calibration constant is calculated every 1 ms from the mean of the smeared hit times of a grid of 15 by 15 sensors corresponding to one ASIC. The nominal hit time distribution is obtained from a Geant 4 simulation of the ATLAS Detector which includes the time resolution of the sensor and the time dispersion of the LHC collision. Non-Gaussian tails arise from late particles, backscatter, and other effects. Additional hit time smearing is applied to model the effects of clock jitter and time dispersion arising in the ASIC, flex cable, lpGBT, and FELIX. The expected systematic LHC RF variation time is added as an additional effect. Finally, a sinusoidally varying 100 ps offset of 20 ms period is added to model sources of time jitter that might arise from heat cycles or other effects. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/t0calib_fig01.png pdf
Hit time resolution, tsmear - treco after the t0 calibration procedure as a function of the variation period, and for several different choices of calibration window time, shown for R=150 mm. treco is the hit time taken from simulation and includes inherent hit time resolution effects from the sensor and electronics and the collision time spread. The tsmear term adds additional sources of time jitter from the ASIC, FELIX, flex cable, lpGBT, and ATLAS collision time drift, with an additional sinusoidally varying 100 ps offset of variable period. If no calibration is applied the time jitter is approximately 70ps and is shown as the dashed line. For a variation period of greater than 10 ms, and with the right choice of calibration window size, the calibration procedure will always improve the t0 precision. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/t0calib_fig02.png pdf
Hit time resolution, tsmear - treco after the t0 calibration procedure as a function of the variation period, and for several different choices of calibration window time, shown for R=350 mm. treco is the hit time taken from simulation and includes inherent hit time resolution effects from the sensor and electronics and the collision time spread. The tsmear term adds additional sources of time jitter from the ASIC, FELIX, flex cable, lpGBT, and ATLAS collision time drift, with an additional sinusoidally varying 100 ps offset of variable period. If no calibration is applied the time jitter is approximately 70ps and is shown as the dashed line. For a variation period of greater than 10 ms, and with the right choice of calibration window size, the calibration procedure will always improve the t0 precision. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/t0calib_fig03.png pdf

2018/2019 Sensor Performance from lab (TDR draft April 2019 )

LGAD sensors of different vendors, geometries and types have been studied by HGTD institutes, including:

  • HPK-3.1-50: Hamamatsu, 50 um thick, 1.3 mm x 1.3 mm pad size (HGTD geometry), standard doping
  • HPK-3.2-50: Hamamatsu, 50 um thick, 1.3 mm x 1.3 mm pad size (HGTD geometry), deep doping
  • FBK-UFSD3-C-60: FBK, 60 um thick, 1.3 mm x 1.3 mm pad size (HGTD geometry), with Carbon addition
  • HPK-Proto-30: Hamamatsu 30 um prototype, 0.8 mm2 pad size (small pads)
  • CNM AIDA: CNM 50 um, 1.3 mm x 1.3 mm pad size (HGTD geometry)

Microscope photo of an HPK-3.1-50 15x15 array (partial view). https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/HPK_15x15.jpg jpg

I-V measurement of 25 pads from an unirradiated HPK-3.1-50 5x5 array without UBM measured with a 5x5 probe card at room temperature (all pads and GR grounded).

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/ATLAS_HPK_5x5_SMPL_W8_P11_GRgnd-1.png pdf

Breakdown voltage 2D map of 15x15 array: 2D map of breakdown voltage of an HPK-3.1-50 15x15 array (~2x2 cm2 large sensor) measured with an automatic probe station (i.e. scanning of each pad one after another).

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/VBD2Dmap15x15ArrayType3p1.png pdf

Time resolution vs. gain for two irradiated HPK LGADs of 50 and 30 um thicknesses with time walk correction applied.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/tdr_timing_50_30um_CFD50-1.png pdf

Collected charge as a function of bias voltage for different fluences for HPK-3.1-50 sensors. Solid markers indicate n irradiation (n), open markers 70 MeV p irradiation at CYRIC (pCy). Measurements were performed at -30 C.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/HPK_31_CC-1.png pdf

Collected charge as a function of bias voltage for different fluences for HPK-3.2-50 sensors after n irradiation (n). Measurements were performed at -30 C.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/HPK_32_CC-1.png pdf

Collected charge as a function of bias voltage for different fluences for FBK-UFSD3-C-60 sensors after n irradiation (n). Measurements were performed at -30 C.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/FBK_CC-1.png pdf

Collected charge as a function of bias voltage for different fluences for HPK-Proto-30 sensors after n irradiation (n). Measurements were performed at -20 C and -27 C.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/HPK_30_CC-1.png pdf

Time resolution as a function of bias voltage for different fluences for HPK-3.1-50 sensors. Solid markers indicate n irradiation (n), open markers 70 MeV p irradiation at CYRIC (pCy). Measurements were performed at -30 C.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/HPK_31_TimeRes_lin.png pdf

Time resolution as a function of bias voltage for different fluences for HPK-3.2-50 sensors after n irradiation (n). Measurements were performed at -30 C.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/HPK_32_TimeRes_lin.png pdf

Time resolution as a function of bias voltage for different fluences for FBK-UFSD3-C-60 sensors after n irradiation (n). Measurements were performed at -30 C.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/FBK_TimeRes_lin.png pdf

Time resolution as a function of bias voltage for different fluences for HPK-Proto-30 sensors after n irradiation (n). Measurements were performed at -20 C and -27 C.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/HPK_30_TimeRes_lin.png pdf

Inter-Pad distances for several HPK-3.1-50 sensors measured with a laser TCT system

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/TCT_distances-1.png pdf

Hit efficiency as a function of collected charge. The curve includes the data of 16 individual sensors before and after irradiation, which all show a universal behaviour. The threshold to accept events with a hit was chosen at a measured noise occupancy of 0.1% and 0.01%, respectively. A hit efficiency above 99% is obtained for a charge larger than 2 fC.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/eff_vs_Q.png pdf

*The charge at Vmax and 95% of Vmax as a function of fluence for the different sensor types.*

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Charge_vs_fluence-1.png pdf

Leakage current for single pads at -30 C as a function of bias voltage for HPK-3.1-50 irradiated with 1 MeV neutrons (solid lines) and 70 MeV protons (dashed lines). The dashed-dotted horizontal line represents the ALTIROC maximum acceptable current of 5 uA.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/PD_voltage-1.png pdf

Collected charge vs bias voltage for sensors irradiated to 3E15 Neq cm-2 and 6E15 Neq cm-2, respectively. In the plots are measured data of the existing prototypes and the simulated prospect of the proposed sensors combining deep implantation of the Boron gain layer with carbon implantation.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/CC_WF_proposal_3E15-1.png pdf

Collected charge vs bias voltage for sensors irradiated to 3E15 Neq cm-2 and 6E15 Neq cm-2, respectively. In the plots are measured data of the existing prototypes and the simulated prospect of the proposed sensors combining deep implantation of the Boron gain layer with carbon implantation.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/CC_WF_proposal_6E15-1.png pdf

2018/2019 ALTIROC0/1 Performance from lab and (ALTIROC0+Sensors) from testbeam (TDR draft April 2019)

Time of arrival in a channel of an unirradiated 2x2 LGAD array bump-bonded on an ALTIROC0 ASIC as a function of the amplitude of the preamplifier probe. The profile of the 2D distribution (black points) and a polynomial fit (red line) are superimposed. The fit is used to correct for the time walk effect. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/toa_vs_amp_TB_Oct18.png - pdf
Time resolution of a channel of an unirradiated 2x2 LGAD array bump-bonded on an ALTIROC0 ASIC as a function of the discriminator threshold (in DAC units) before and after time walk correction. A SiPM with a resolution of 40 ps is used as a time reference - it's contribution has been substracted. The amplitude of the preamplifier probe is used to correct for the time walk, resulting in a 30% improvement in the time resolution. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/B24_ch3_120_reso.png - pdf

*Jitter measured as a function of the injected charge for a Cd = 3.5 pF..

jitter_vs_Qinj.png

pdf

2017 sensors performance from Test Beam

LGAD (Low Gain Avalanche Diode) sensors have been exposed to 120 GeV charged pions at CERN SPS H6 beam line in September 2017.

  • Sensor characteristics: two arrays of four LGAD sensors of 1.1 x 1.1 mm2 with a 45 μm thickness produced by CNM (run 10478)
  • The setup was equipped with a 3x3x10 mm3 quartz read out by a SiPM to have a reference. Time resolution of reference is about 10 ps
  • More information can be found in the 2016 testbeam paper: https://arxiv.org/abs/1804.00622

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Signal efficiency in an unirradiated array of four LGAD sensors of 1.1 x 1.1 mm2 each, as a function of the X and Y coordinates (in mm). The voltage threshold to select the signal is 3 times larger than the noise (~5mV). The efficiency in the bulk is larger than 99.8%. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/batch207_eff.gif eps - pdf
Signal efficiency in an irradiated array of four LGAD sensors of 1.1 x 1.1 mm2 each, as a function of the X and Y coordinates (in mm). The voltage threshold to select the signal is 3 times larger than the noise (~5mV). The bottom right pad is not displayed due to a broken channel in the readout board. ). The efficiency in the bulk is larger than 99.8%. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/batch507_eff.gif eps - pdf
Signal amplitude in the bulk of LGAD pads of size 1.1 x 1.1 mm2 in an array sensor. The dashed line shows the default threshold corresponding to 3 times the noise. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/pulseHeightDen7gif eps - pdf
Signal efficiency in the bulk of LGAD pads of size 1.1 x 1.1 mm2 in an array sensor as a function of the voltage threshold. The dashed line shows the default threshold corresponding to 3 times the noise. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/pulseHeightEff7gif eps - pdf
Signal efficiency in the interpad region for an unirradiated array of four LGAD sensors of 1.1 x 1.1 mm2 each, as a function of X (in mm) for 3 different voltage thresholds. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/batch207_effX.gif eps - pdf
Signal efficiency in the interpad region for an irradiated array of four LGAD sensors of 1.1 x 1.1 mm2 each, as a function of X (in mm) for 3 different voltage thresholds. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/batch507_effX.gif eps - pdf
Time resolution in an un-irradiated array of four LGAD sensors of 1.1 x 1.1 mm2 each, as a function of the X and Y coordinates (in mm). The bottom left pad is not displayed because this channel was not plugged to the same oscilloscope as the quartz+SiPM used as a reference to estimate the time resolution (in this case, more sophisticated analysis technique would be required). The time resolution is larger in the guard rings around the pads where there is no multiplication of the charge. The fluctuations are dominated by statistical fluctuations since very small bins are used in order to show the structure around the pad. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/batch207_deltaT.gif eps - pdf
Time resolution in an irradiated array of four LGAD sensors of 1.1 x 1.1 mm2 each, as a function of the X and Y coordinates (in mm). The bottom right pad is not displayed due to a broken channel in the readout board. The time resolution is larger in the guard rings around the pads where there is no multiplication of the charge. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/batch507_deltaT.gif eps - pdf

2016 Sensors performance from Test Beam

LGAD (Low Gain Avalanche Diode) sensors have been exposed to 120 GeV charged pions at CERN SPS H6B beam line in August 2016 Sensor characteristics: * Two single pad LGAD produced by CNM through RD50 * 1.2 x 1.2 mm2 size (C=3.3 pF) * 45 μm thickness Readout : * Board designed and assembled at University of California Santa Cruz: first stage trans impedance preamplifier on printed circuit (Rf =470 Ohm) followed by a second stage broadband amplifier (gain 20 dB) * The data were read‐out by a oscilloscope with 40 GSample/s and a 2 GHz bandwidth. The setup was equipped with a 3x3x10 mm3 quartz read out by a SiPM to have a reference. Time resolution of reference is about 15‐17 ps

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Typical Pulse Shape: Typical pulse shape recorded with a LGAD sensor with 200 V bias voltage with 120 GeV pions. The charge is computed integrating the signal over the yellow area, taking into account the gain of the electronics readout (~95).

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Pulse_33_48_3.png_

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Charge Distribution: Charge distribution for a LGAD biased with 150 V. A Landau convoluted by a Gaussian fit is superimposed.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Charge_Trigger_LandauMpv.png_

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Charge as a Function of Bias Voltage: Most probable value of the charge as a function of the bias voltage for two LGAD sensors.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Charge_Probe_LandauMpv_vs_biasVoltage.png_

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Gain as a Function of Bias Voltage: Gain as a function of the bias voltage for two LGAD sensors. The gain is computed as the charge divided by 0.46 fC, which is the mean signal deposited by dE/dx in 45 μm of silicon when no amplification mechanism is present.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Gain_Probe_LandauMpv_vs_biasVoltage.png_

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Signal to Noise Ratio: Signal to noise ratio as a function of the bias voltage for two LGAD sensors. Signal is measured as the amplitude at the signal peak. The noise is computed as the rms of the baseline and does not take into account the increase of the Landau width due to the multiplication process in the LGAD.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/SOverN_Probe_GausMean_vs_biasVoltage.png_

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Time Resolution: Time resolution as a function of the bias voltage for two LGAD sensors. The time of each sensor is extracted at 20 % of the signal amplitude with a linear interpolation between the measurements. The time resolution is extracted from data in which the considered sensor was not used for triggering, by computing the rms of all time differences between the considered sensor, the reference quartz/!SiPM and the trigger sensor. The resulting equation system (under the assumption of uncorrelated resolutions) is solved o obtain the time resolution. of each device.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/timeResoProbe_vs_biasVoltage.png_

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Time Resolution: Time resolution as a function of the gain for two LGAD sensors. The time of each sensor is extracted at 20 % of the signal amplitude with a linear interpolation between the measurements. The time resolution is extracted from data in which the considered sensor was not used for triggering, by computing the rms of all time differences between the considered sensor, the reference quartz/!SiPM and the trigger sensor. The resulting equation system (under the assumption of uncorrelated resolutions) is solved o obtain the time resolution. of each device.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/timeResoProbe_vs_Gain_Probe_LandauMpv.png_

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Signal Rise Time: Signal rise time (computed between 20% and 80 % of the signal amplitude) as a function of the bias voltage for two LGAD Sensors of each device.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/RiseTime_Probe_GausMean_vs_biasVoltage.png_

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Older sets of plots

Many of these are deprecated as newer versions exist, so please check carefully that they are still valid and relevant before using any of them!

Old plots: Simulation/performance (from IDR)

Occupancy: The percentage of readout cells (occupancy) of the HGTD in which the deposited energy is greater than 0.02MeV is shown as function of radius with pile-up of mu=200 for readout cell sizes of (1x1)mm^2 and (2x2)mm^2 in full simulation with mu=200. The occupancy for the cell size (1.3x1.3)\mathrm{mm}^2 is an interpolation. Occupancy_MB_Si_all pdf
Pileup-jet tagging: Average number of pileup tracks in jets associated to the primary vertex as a function of the jet pseudorapidity in VBF Higgs to invisible events with 200 additional interactions before and after a cut on the track time using HGTD. Tracks are required to pass the quality cut requirements described in ATL-PHYS-PUB-2016-025, have a transverse momentum larger than 0.9 GeV, and their impact parameter z0 be within 2 sigma of the primary vertex position, where sigma is defined by the ITk z0 impact parameter resolution as a function of eta and pT. In the case of the ITk+HGTD, tracks are required to have a relative time difference with respect to the truth vertex time of 2 sigma of the HGTD time resolution. The time resolution of the tracks is assumed to be 30 ps. Jets, reconstructed from calorimeter topo-clusters using the anti-kt R=0.4 algorithm, are required to have pt> 50 GeV. jetfractioneta3_time30 pdf, png
HGTD Electron Isolation: Efficiency of the leptons isolation as function of the pile-up density using the ITk and ITk + HGTD. The efficiency is defined as the probability that no track with p_T> 1GeV other than the signal track is within DeltaR = 0.2 from the electron. In the ITk+HGTD case there is an extra constraint: the time of the tracks must be compatible with the time of the electron track candidate. Only tracks passing a Pt and eta dependent longitudinal impact parameter selection are accepted.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/ElectronIsolationZ0only.png

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HGTD jets: The pile-up jet efficiency versus |eta| for jets with 30<pT<50GeV for an 88% hard-scatter jet efficiency using a pT and |eta| requirement on the R_pT discriminant, in PowhegPythia ttbar events. The region below eta=2.4 shows the performance gains of a 30ps timing resolution full eta coverage detector, the region above shows the performance the acceptance planned for the HGTD. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/PUeffpt3050.png

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HGTD jets: The pile-up jet efficiency versus pT for jets with 2.4<|eta|<3.8 for an 88% hard-scatter jet efficiency using a pT and |eta| requirement on the R_pT discriminant, in PowhegPythia ttbar events. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/EffPUvsPT_fwdJets_fixedHS.png

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HGTD btagging: Rejection versus efficiency for the MV1 b-tagger in the HGTD region (|eta| > 2.4). The rejection for a given efficiency is significantly improved when including the HGTD through the rejection of pileup tracks tagged with timing information as input to the MV1 algorithm. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/bVSlight__MV1.png

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HGTD Luminosity : Linearity of the average number of HGTD hits in the regions 2.40 < |eta| < 3.15 and 2.40 < |eta| < 2.80, as a function of number of interactions. The light blue stars represent samples where several mu=1 minimum-bias events have been overlaid to emulate intermediate numbers of interactions (while treating multiple hits in the same channel as one). A straight line is fitted to these points plus the mu=1 point to model how the number of hits depends on mu. The resulting fit is compared to the centrally generated samples with <mu> ranging between 190 and 210. The pixel size used is 1 mm x 1 mm. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/nHitsVsMuMultiple.png eps - pdf
HGTD Luminosity : Relative statistical uncertainty as a function of <mu> per BCID when averaging for 1 s, based on the expected number of HGTD in the regions 2.40 < |eta| < 3.15 and 2.40 < |eta| < 2.80. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/LumiRelativeStatErrorVsMu.png eps - pdf
ITk: Parameterization of the longitudinal track impact parameter z0 resolution as a function of eta, for different pT values. Tracks are required to pass the quality cut requirements described in ATL-PHYS-PUB-2016-025.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/IPZ.png eps - pdf
HGTD event display: R--Z event display showing the reconstructed tracks associated to the reconstructed primary vertex in a VBF Higgs to invisible event with 200 additional interactions. Tracks are required to pass the quality cut requirements described in ATL-PHYS-PUB-2016-025, have a transverse momentum larger than 0.9 GeV, and their impact parameter z0 be within 2 sigma of the primary vertex position, where sigma is defined by the ITk z0 impact parameter resolution as a function of eta and pT. The length of the lines is proportional to the track pT. The black rectangles (circles) are the positions of the truth (reconstructed) vertices in the z direction. The red rectangle shows the hard-scatter truth vertex position. Red (blue) lines indicate if reconstructed tracks are truth-matched to hard-scatter (pile-up) vertices. Grey lines correspond to reconstructed tracks associated to other pile-up primary vertices in the event.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/zrho_event15_vtxid0.png eps - pdf
HGTD event display: Same R--Z event display showing the reconstructed tracks associated to the reconstructed primary vertex in a VBF Higgs to invisible event with 200 additional interactions, but only for tracks inside anti-kt R=0.4 calorimeter jets of pT>20 GeV. Tracks are required to pass the quality cut requirements described in ATL-PHYS-PUB-2016-025, have a transverse momentum larger than 0.9 GeV, and their impact parameter z0 be within 2 sigma of the primary vertex position, where sigma is defined by the ITk z0 impact parameter resolution as a function of eta and pT. The length of the lines is proportional to the track pT. The black rectangles (circles) are the positions of the truth (reconstructed) vertices in the z direction. The red rectangle shows the hard-scatter truth vertex position. Red (blue) lines indicate if reconstructed tracks are truth-matched to hard-scatter (pile-up) vertices. Grey lines correspond to reconstructed tracks associated to other pile-up primary vertices in the event.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/zrho_jets_event15_sel0.png eps - pdf
HGTD event display: pT-weighted 2-dimensional distribution of the time and z position of the reconstructed tracks associated to the hard-scatter vertex in a VBF Higgs to invisible event with 200 additional interactions. Tracks are required to pass the quality cut requirements described in ATL-PHYS-PUB-2016-025, have a transverse momentum larger than 0.9 GeV, and their impact parameter z0 be within 2 sigma of the primary vertex position, where sigma is defined by the ITk z0 impact parameter resolution as a function of eta and pT. The size of the boxes is proportional to the track pT. The time resolution of the tracks is assumed to be 30 ps. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/histogram2D_event15_vtxid0_eta3.8.png eps - pdf
Vertexing: pT-weighted distribution of the z0 impact parameter of the reconstructed tracks associated to the hard-scatter vertex in a VBF Higgs to invisible event with 200 additional interactions. Tracks are required to pass the quality cut requirements described in ATL-PHYS-PUB-2016-025, have a transverse momentum larger than 0.9 GeV, and their impact parameter z0 be within 2 sigma of the primary vertex position, where sigma is defined by the ITk z0 impact parameter resolution as a function of eta and pT. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/histogramZ_event15_vtxid0_eta3.8.png eps - pdf
Vertexing: pT-weighted distribution of the time of the reconstructed tracks associated to the hard-scatter vertex in a VBF Higgs to invisible event with 200 additional interactions. Tracks are required to pass the quality cut requirements described in ATL-PHYS-PUB-2016-025, have a transverse momentum larger than 0.9 GeV, and their impact parameter z0 be within 2 sigma of the primary vertex position, where sigma is defined by the ITk z0 impact parameter resolution as a function of eta and pT. The time resolution of the tracks is assumed to be 30 ps. The solid vertical lines shows the truth time of the vertex. The two vertical dotted lines indicate a window of 2 sigma(t) around the vertex time, corresponding to a 95% efficiency for keeping hard-scatter tracks.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/histogramT_event15_vtxid0_eta3.8.png eps - pdf
HGTD jets: Pseudorapidity distribution of tracks in jets associated to the primary vertex in VBF Higgs to invisible events with 200 additional interactions. Tracks are required to pass the quality cut requirements described in ATL-PHYS-PUB-2016-025, have a transverse momentum larger than 0.9 GeV, and their impact parameter z0 be within 2 sigma of the primary vertex position, where sigma is defined by the ITk z0 impact parameter resolution as a function of eta and pT. Jets, reconstructed from calorimeter topo-clusters using the anti-kt R=0.4 algorithm, are required to have pt> 50 GeV. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/jetfractioneta5.png eps - pdf
HGTD jets: Pseudorapidity distribution of tracks in jets associated to the primary vertex in VBF Higgs to invisible events with 200 additional interactions. Tracks are required to pass the quality cut requirements described in ATL-PHYS-PUB-2016-025, have a transverse momentum larger than 0.9 GeV, and their impact parameter z0 be within 2 sigma of the primary vertex position, where sigma is defined by the ITk z0 impact parameter resolution as a function of eta and pT. In addition, tracks are required to have a relative time difference with respect to the truth vertex time of 2 sigma of the HGTD time resolution. The time resolution of the tracks is assumed to be 30 ps. Jets, reconstructed from calorimeter topo-clusters using the anti-kt R=0.4 algorithm, are required to have pt> 50 GeV. https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/jetfractioneta5_time30.png eps - pdf

Old plots : Simulation/performance (2017)

border=1 cellpadding=10 cellspacing=10> HGTD track matching resolution: Difference between the extrapolated ITK track position and the nearest hit on the HGTD layer 0 in a sample of single charged pions with transverse momentum of 2 GeV generated from the center of ATLAS. The tracks fulfill the quality requirements in ATL-PHYS-PUB-2016-025 and are required to have a transverse momentum larger than 1 GeV. The distribution is fit to the sum of two Gaussian functions with the same mean. The resolution of the narrow component is due to the size of the HGTD cells and to uncertainties in the track reconstruction and extrapolation. Its standard deviation of 0.6 mm is smaller than the cell size of 1 mm. The broad component is due to pions which undergo interactions in the material in front of the HGTD, this fraction varies between 5 and 10% depending on the pion momentum.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/TrackdXPublicPlot_1mm.png

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HGTD beamspot: The distribution of the beam spot for the true time and z vertex is shown for an ATLAS simulation of the Nominal and CrabKissing scenario. For the CrabKissing scenario a rotation of the bunches with an angle of 50 mrad in the yz plane was used.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Beamspot.png

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HGTD Performance Plot: Track isolation efficiency for electrons from Z → ee decays with pT > 20 GeV and 0 < |η| < 3.6 as a function of the number of collisions per mm. The vertices are normally distributed along the beam axis and in time with σz = 50 mm, σt = 180 ps and average number of interactions per bunch crossing <mu> = 200. The track isolation efficiency epsilon(pTiso) is defined as the probability that no track with pT> 1 GeV other than the signal track is within dR = 0.2 from the electron. The tracks must satisfy requirements on the longitudinal impact parameter given by the ITK (yellow points) and the time with respect to the Z → ee hard scattering measured with the HGTD within 60 ps (red points) or 120 ps (green points) or 180 ps. The blue points correspond to a selection of tracks from the hard scattering process. A fully efficient time-to-track association is assumed.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/HGTD_trkIso_vs_density_time30_60_final_eta0_3.6.png

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HGTD Performance Plot: The efficiency for pile-up jets as a function of the efficiency for hard-scatter jets with 20<pT<40 GeV in 2.4<|η|<3.8 region using the RpT discriminant, defined in ATLAS-CONF-2014-018, in PowhegPythia tt events. The vertices are normally distributed along the beam axis and in time with σz=50 mm, σt=180 ps and <mu>=200. The tracks used in the RpT calculation for the black curve fulfil the quality requirements in ATL-PHYS-PUB-2016-025 and are required to have a transverse momentum larger than 1 GeV. The distance between the hard-scatter vertex and the z0 impact parameter of the tracks used in the RpT calculation is required to be within 1 mm and 4 mm, depending on the |η| of the track. The blue curve is obtained using for the RpT calculation tracks matched to true charged particles from the hard scatter vertex. For the red curve, reconstructed tracks selected as for the black curve and with a timing consistent within 60 ps with the hard-scatter vertex are considered. The time resolution of the tracks is assumed to be 30 ps. The "Inclined Barrel" layout is described in ATL-PHYS-PUB-2016-025. Jets are clustered using the antikt algorithm with R=0.4.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/ROC24-38_16.png_

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HGTD Performance Plot: The efficiency for hard-scatter jets versus |η| for jets with 20<pT<50 GeV for a 2% pile-up jets rejection efficiency using a pT and |η| requirement on the RpT discriminant, in PowhegPythia tt events. The vertices are normally distributed along the beam axis and in time with σz=50 mm, σt=180 ps with <mu>=200. The tracks used in the RpT calculation for the black curve fulfill the quality requirements in ATL-PHYS-PUB-2016-025 and are required to have a transverse momentum larger than 1 GeV. The distance between the hard-scatter vertex and the z0 impact parameter of the tracks used in the RpT calculation is required to be within 1 mm and 4 mm, depending on the |η| of the track. For the red curve, reconstructed tracks selected as for the black curve and with a timing consistent within 60 ps with the hard-scatter vertex truth time are considered. The time resolution of the tracks is assumed to be 30 ps. The "Inclined Barrel" layout is described in ATL-PHYS-PUB-2016-025. Jets are clustered using the antikt algorithm with R=0.4.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/HSeffPU2_lowpt_17.png_

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HGTD Performance Plot: The efficiency for hard-scatter jets versus |η| for jets with pT>50 GeV for a 2% pile-up jets rejection efficiency using a pT and |η| requirement on the RpT discriminant, in PowhegPythia tt events. The vertices are normally distributed along the beam axis and in time with σz=50 mm, σt=180 ps with ⟨Μ⟩=200. The tracks used in the RpT calculation for the black curve fulfill the quality requirements in ATL-PHYS-PUB-2016-025 and are required to have a transverse momentum larger than 1 GeV. The distance between the hard-scatter vertex and the z0 impact parameter of the tracks used in the RpT calculation is required to be within 1 mm and 4 mm, depending on the |η| of the track. For the red curve, reconstructed tracks selected as for the black curve and with a timing consistent within 60 ps with the hard-scatter vertex truth time are considered. The time resolution of the tracks is assumed to be 30 ps. The "Inclined Barrel" layout is described in ATL-PHYS-PUB-2016-025. Jets are clustered using the antikt algorithm with R=0.4.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/HSeffPU2_highpt_18.png_

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HGTD beamspot: The local pileup vertex density is shown in full simulation for the nominal HL-LHC beamspot scenario for μ=30 and μ=200. The density is calculated as the number of truth vertices in a range of +- 3mm around the signal vertex divided by the window size (6mm). The simulation was performed using the nominal beam spot, the other two distributions have been computed using the sigma z of the beam spot.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/vertex_density_run2.png

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HGTD beamspot: The local pileup vertex density is shown three HL-LHC beamspot scenarios in full simulation. Nominal, Run 4 and 200MHz correspond to different definitions of the beamspot in time and z direction. The standard deviation of the beamspot in z direction is given in the legend. The density is calculated as the number of truth vertices in a range of +- 3mm around the signal vertex divided by the window size (6mm). The simulation was performed using the nominal beam spot, the other two distributions have been computed using the sigma z of the beam spot.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/vertex_density_hl.png

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HGTD time of arrival: The distribution of the time of arrival in the first layer of the HGTD-SiW at a radius of R=200mm (η = 3.6, z=3506mm) is shown for an ATLAS simulation of muons with a transverse momentum of 1 TeV. The width of the distribution is the convolution of the beamspot in z and t.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/TOA.png

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HGTD occupancy: The occupancy of the HGTD is shown as function of the radius for a pileup of <mu>=200 events for granularities of (1x1)mm2 ,(2x2)mm2 and (3x3)mm2 for the last layer. Above a radius of 280mm the tungsten absorber leads to a higher occupancy for the HGTD-SiW compared to the HGDT-Si. A horizontal line indicates the maximal tolerable occupancy of 10%. Layer 3 corresponds to the layer with the highest occupancy.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/occupancy_vs_r_41.png_

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HGTD Nominal Pulse Shape : Nominal Pulse Shape of the signal in the HGTD based on measure taken during the TestBeam runs with charged pions. The red and blue error bar represent the two levels of noise on the amplitude added in the simulation.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Pulse_Nominal.png

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HGTD Time resolution in the simulation : The distribution of the time resolution for (1 1)mm2 and (3 3)mm2 cells are shown for an ATLAS simulation of single muon signal in the first layer of the HGTD after subtraction of the time of flight and the time offset. The distributions are normalized to unit area. The total noise is the convolution of three sources: amplitude, non-uniform energy deposits in the sensor and residual electronics noise after the time walk correction.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Treco.png

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HGTD vertices : Event display showing the time and z position of all vertices in a Zee event from the full simulation with mu=200. Only tracks reconstructed with a transverse momentum greater than 1 GeV are used. The red circle is the truth hard-scatter vertex, the pink circles are the truth vertices with no reconstructed track in the HGTD acceptance, green circles those without accepted tracks outside the HGTD acceptance and the blue circles are the truth vertices with at least one track in the HGTD. The dotted lines are the positions of the reconstructed vertices. The error bar on the y axis is the expected precision of the vertex timing determination in the HGTD, in most cases smaller than the symbol size.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Truth_Vertex.png

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HGTD vertices : Event display showing the time and z position of all vertices in a Zee event from the full simulation with =200. The red circle is the truth hard-scatter vertex, the pink circles are the truth vertices with no reconstruted track in the HGTD acceptance and the blue circles are the truth vertices with at least one track in the HGTD. Only tracks reconstructed with a transverse momentum greater than 1 GeV are used. The dotted lines are the positions of the reconstructed vertices. The error bar on the y axis is the expected precision of the vertex timing determination in the HGTD, in most cases smaller than the symbol size (zoom of the previous figure).

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Truth_Vertex_zoom.png

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HGTD electron events display : The energy deposited in the HGTD-SiW sampling 3 is shown for an ATLAS simulation of an electron with a transverse momentum of 45 GeV and 200 events of pile-up.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/elec_Display_lego200_all.gif

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HGTD electron event display : The energy deposited in the HGTD-SiW sampling 3 is shown for an ATLAS simulation of an electron with a transverse momentum of 45 GeV and 200 events of pile-up for the 10 most energetic clusters in an intermediate step of the 5 dimensional electron reconstruction (time, energy and three-dimensional positions of energy deposits). The clusters are reconstructed in sampling 3 by summing the energy deposited in the HGTD cells in a circle of radius 15mm.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/elec_Display_lego200_cluster.gif

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HGTD electron event display : The energy deposited in the HGTD-SiW sampling 3 is shown for an ATLAS simulation of an electron with a transverse momentum of 45 GeV and 200 events of pile-up after the final step of the 5D (time, energy, three-dimensional positions of energy deposite) electron reconstruction. The substructure of the cylindrical clusters is analyzed by reconstructing tracklets starting from a common position in sampling 0. The average number of hits on the tracklets, the ratio of the sum of the energy depositions of the tracklets to the all cluster hits as well as the tracklet timing reconstruction is used to reject the background. The precision of the electron timing is about 10ps.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/elec_Display_lego200_elec.gif

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HGTD Number of cells per electron cluster: The distribution of the number of cells of the HGTD-SiW hit in the cluster for each sampling is shown for an ATLAS simulation of electrons with a transverse momentum of 45 GeV. The clusters are cylindrical clusters with a radius of 15 mm computed to be the cylinder in which the energy deposited is maximum. The tungsten starts at a radius of 280mm.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Electrons_nCells.png

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HGTD Number of cells per photon cluster : The distribution of the number of cells of the HGTD-SiW hit in the cluster for each sampling is shown for an ATLAS simulation of electrons with a transverse momentum of 45 GeV. The clusters are cylindrical clusters with a radius of 15 mm computed to be the cylinder in which the energy deposited is maximum. The tungsten starts at a radius of 280mm.

https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Photons_nCellsC0.png

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HGTD track matching resolution: Difference between the extrapolated ITK track position and the nearest hit on the HGTD layer 0 in a sample of single charged pions with transverse momentum of 2 GeV generated from the center of ATLAS. The tracks fulfill the quality requirements in ATL-PHYS-PUB-2016-025 and are required to have a transverse momentum larger than 1 GeV. The distribution is fit to the sum of two Gaussian functions with the same mean. The resolution of the narrow component is due to the size of the HGTD cells and to uncertainties in the track reconstruction and extrapolation. Its standard deviation of 1.3 mm is smaller than the cell size of 3 mm. The broad component is due to pions which undergo interactions in the material in front of the HGTD, this fraction varies between 5 and 10% depending on the pion momentum.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/TrackdXPublicPlot_3mm.png_

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HGTD track matching efficiency for mu=0: Efficiency for matching reconstructed ITK tracks with at least one HGTD hit cell in the four HGTD layers in a sample of single charged pions with pT between 1 and 20 GeV generated from the center of ATLAS. The tracks fulfill the quality requirements in ATL-PHYS-PUB-2016-025 and are required to have a transverse momentum larger than 1 GeV. Tracks are matched to the nearest cell in each HGTD layer within a 5 mm radius of the extrapolated position in the x-y plane. The points are fit by the function ε(pT) shown in the plot.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/TrackMatchEff_pt.png_

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HGTD track matching efficiency for mu=200: Efficiency for matching reconstructed ITK tracks to at least one HGTD hit cell with the correct track truth time in a VBF sample with an average of 200 pile-up interactions. The tracks fulfill the quality requirements in ATL-PHYS-PUB-2016-025 and are required to have a transverse momentum larger than 1 GeV. Tracks are matched to the nearest cell in each HGTD layer within a 5 mm radius of the extrapolated position in the x-y plane. The track truth time is determined from the truth particle associated to the track. The points are fit by the function ε(pT) shown in the plot.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/TrackTimeMatchEff_EffvsPt.png_

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HGTD Track timing resolution for mu=200: Difference between the reconstructed track time and the track truth time in a VBF sample with an average of 200 pile-up interactions. The tracks fulfill the quality requirements in ATL-PHYS-PUB-2016-025 and are required to have a transverse momentum larger than 1 GeV. Tracks are matched to the nearest cell in each HGTD layer within a 5 mm radius of the extrapolated position in the x-y plane. The track time is determined by averaging up to four matched HGTD hit cells whose measured time includes a 30 ps Gaussian smearing for the 1 mm square cells with respect to the GEANT simulated hit time. The track truth time is determined from the truth particle associated to the track. The distribution is fit to the sum of two Gaussian functions with the same mean. The standard deviation of the core Gaussian is quoted in the plot, slightly larger than half the cell time resolution as the track extrapolation efficiency and uninstrumented zones in the HGTD are taken into account, leading to less than 4 HGTD time measurements available in some cases. The broad component (dashed line) corresponds to tracks which are incorrectly matched to HGTD hits in the presence of pile-up and has a sigma corresponding to the beamspot spread of about 200 ps.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/TrackdTPublicPlot_1mm.png_

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HGTD track timing resolution for mu=200: Difference between the reconstructed track time and the track truth time in a VBF sample with an average of 200 pile-up interactions. The tracks fulfill the quality requirements in ATL-PHYS-PUB-2016-025 and are required to have a transverse momentum larger than 1 GeV. Tracks are matched to the nearest cell in each HGTD layer within a 5 mm radius of the extrapolated position in the x-y plane. The track time is determined by averaging up to four matched HGTD hit cells whose measured time includes a 60 ps Gaussian smearing for the 3 mm square cells with respect to the GEANT simulated hit time. The track truth time is determined from the truth particle associated to the track. The distribution is fit to the sum of two Gaussian functions with the same mean. The standard deviation of the core Gaussian is quoted in the plot, slightly larger than half the cell time resolution as the extrapolation efficiency and uninstrumented zones in the HGTD are taken into account, leading to less than 4 HGTD time measurements available in some cases. The broad component (dashed line) corresponds to tracks which are incorrectly matched to HGTD hits in the presence of pile-up and has a sigma corresponding to the beamspot spread of about 200 ps.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/TrackdTPublicPlot_3mm.png_

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HGTD luminosity measurement : The mean number of HGTD hits in the first layer (both sides) as a function of number of interactions for the full HGTD coverage. The data points in the shaded region have been derived by overlaying hits from multiple minimum bias events. It has been assumed that multiple particles passing through the same HGTD cell can not be resolved. A linear fit has been performed using the data points in the left part of the figure; number of interactions <= 100. The bottom figure shows the ratio between the measured values and the linear prediction, where the uncertainties indicates the relative uncertainties on the measured values.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Si-ItkIncl-Nom-minbiasLowPt-nHitsVsMu-Etafull.png_

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HGTD luminosity measurement : The mean number of HGTD hits in the first layer (both sides) as a function of number of interactions in pseudorapidity range 2.8 < |η| < 3.0. The data points in the shaded region have been derived by overlaying hits from multiple minimum bias events. It has been assumed that multiple particles passing through the same HGTD cell can not be resolved. A linear fit has been performed using the data points in the left part of the figure; number of interactions <= 100. The bottom figure shows the ratio between the measured values and the linear prediction, where the uncertainties indicates the relative uncertainties on the measured values.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Si-ItkIncl-Nom-minbiasLowPt-nHitsVsMu-Eta2p8to3p0.png_

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Old: More Simulation/performance results (2017)

HGTD Performance Plot: The plot shows the performance to reject tracks from pileup interactions within jets using the ITk and the HGTD. The tracks must satisfy requirements on the longitudinal impact parameter given by the ITk with 1 mm (3 mm) resolution for |η| < 2.4 (|η| > 2.4). The resolution corresponds to an average of the resolution on the ranges considered. The HGTD provides additional rejection or higher selection efficiency by requiring the time of the tracks to be within 2 x σt (with σt = 30-60 ps) from the hard scattering vertex. A fully efficient time-to-track association is assumed, as well as a negligible contribution from the determination of the time of the hard scattering vertex. The vertices are normally distributed along the beam axis and in time with σz = 50 mm, σt = 180 ps and average number of interactions per bunch crossing <μ> = 200. This plot shows the fraction of pileup tracks associated to forward jets as a function of the pileup vertex density, expressed as the number of collisions per mm, using ITk or ITk+HGTD.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/pufraction_2.4_3.8.png_

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HGTD Performance Plot: The plot shows the performance to reject tracks from pileup interactions within a lepton isolation cone using the ITk and the HGTD. The tracks must satisfy requirements on the longitudinal impact parameter given by the ITk with 1 mm (3 mm) resolution for |η| < 2.4 (|η| > 2.4). The resolution corresponds to an average of the resolution on the ranges considered. The HGTD provides additional rejection or higher selection efficiency by requiring the time of the tracks to be within 2 x σt (with σt = 30-60 ps) from the hard scattering vertex. A fully efficient time-to-track association is assumed, as well as a negligible contribution from the determination of the time of the hard scattering vertex. The vertices are normally distributed along the beam axis and in time with σz = 50 mm, σt = 180 ps and average number of interactions per bunch crossing <μ> = 200. This plot shows the track isolation efficiency for electrons from Z → ee decays with pT > 20 GeV and 2.6 < |η| < 3.6 as a function of the number of collisions per mm. The track isolation efficiency ε(pTiso) is defined as the probability that no track with pT > 1 GeV other than the signal track is within dR = 0.2 from the electron. The tracks must satisfy requirements on the longitudinal impact parameter given by the ITk (black points). The time of the tracks with respect to the Z → ee hard scattering, measured with the HGTD, must be within 2 x σt, with σt = 30 ps (red points) or 60 ps (green points). The blue points correspond to a selection of tracks from the hard scattering process.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/HGTD_trkIso_vs_density_time30_60_final_eta2.6_3.6.png_

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border=1 cellpadding=10 cellspacing=10>

Transverse plane of a HGTD layer: Schematic view of the transverse plane of a HGTD layer. The yellow regions have a granularity of 1mm x 1mm, the blue regions 3mm x 3mm. The green lines mark the border of an ASU.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/HGTimingV7.png_

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HGTD ASU: Schematic view of a HGTD ASU in the transverse plane of a layer/sampling of the HGTD. The ASU is made of four sensors of 96mm x 96mm surrounded by a guard ring of 1mm. The wafers are separated by 1mm and are at least 0.5mm from the edge of the PCB.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/HGTDasu200x200V1.png_

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HGTD-Si: Schematic view of the HGTD-Si in positive-z and R. The volume thickness in z and the material used in the simulation are listed in the caption.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/HGTD-0v0.png_

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HGTD-SiW: Schematic view of the HGTD-SiW in positive-z and R. The volume thickness in z and the material used in the simulation are listed in the legend. The tungsten absorber starts at a radius of 285mm from the beam axis.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/HGTD-3v1.png_

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HGTD Occupancy: The occupancy of the HGTD is shown as function of radius separately for each layer (sampling) with pileup of μ=200 for readout cell sizes of (1x1)mm2 and (3x3)mm2. At a radius of 285mm the tungsten absorber leads to a higher occupancy.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/HGTD-SiW.png_

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HGTD Occupancy: The occupancy of the HGTD is shown as function of the radius for a pileup of μ=200 events for granularities of (1x1)mm2 and (3x3)mm2 in the third layer/sampling. At a radius of 285mm the tungsten absorber leads to a higher occupancy for the HGTD-SiW compared to the HGDT-Si.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/occupancy_vs_r_41.png_

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HGTD Occupancy: The occupancy of the HGTD-Si and HGTD-SiW is shown as function of the radius for a pileup of μ=200 events in the third layer/sampling.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/occupancy_vs_r_42.png_

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Muon Energy Deposit: The distribution of the energy deposited in the sensors of the HGTD is shown for an ATLAS simulation of muons with a transverse momentum of 1 TeV.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Muons_ESpectrum.gif_

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Muon Energy Deposit: The energy deposited in the HGTD sensors is shown as function of the radius for an ATLAS simulation of muons with a transverse momentum of 1 TeV. The red line shows the expected increase due to the increasing polar angle.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Muons_EfctR.gif_

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Muon Inefficiency: The fraction of muons escaping undetected the HGTD is shown as function of the radius for an ATLAS simulation of muons with a transverse momentum of 1 TeV. The minimal requirement for a hit is an energy deposit of 0.02 MeV. The inefficiency is dominated by the uninstrumented zones in the HGTD. The red line indicates a fraction of 0.01.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Muons_effR0.gif_

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Muon Efficiency: The fraction of muons detected in all four samplings/layers of the HGTD is shown TeV as function of the radius for an ATLAS simulation of muons with a transverse momentum of 1 TeV. The minimal requirement for a hit is an energy deposit of 0.02 MeV. The inefficiency is dominated by the uninstrumented zones in the HGTD.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Muons_effR4.gif_

eps - pdf

Muon Inefficiency: The fraction of muons escaping undetected the HGTD is shown TeV as function of the transverse coordinates x and y for an ATLAS simulation of muons with a transverse momentum of 1 TeV. The efficiency includes the effect of the uninstrumented zones of the HGTD.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Muons_effXY0.gif_

eps - pdf

Muon Efficiency: The fraction of muons detected in all four samplings/layers of the HGTD is shown as function of the transverse coordinates x and y for an ATLAS simulation of muons with a transverse momentum of 1 TeV. The minimal requirement for a hit is an energy deposit of 0.02 MeV. The inefficiency is dominated by the uninstrumented zones in the HGTD.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/Muons_effXY4.gif_

eps - pdf

Electron Energy Deposit: The position of the energy deposited in the sensors of the HGTD-SiW by an electron with a transverse momentum of 45 GeV in sampling/layer 3 is shown as function of the position in x and y coordinates. The energy deposit is in units 44 keV (MIP).

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/elec_Display_0.gif_

eps - pdf

Electron Energy Deposit with Pile-Up: The position of the energy deposited in the sensors of the HGTD-SiW by an electron with a transverse momentum of 45 GeV in sampling/layer 3 pile-up with a μ=200 events is shown as function of the position in x and y coordinates. The energy deposit is in units 44 keV (MIP). The change of the granularity is visible, e.g. at (x=0, y=285mm) as well as the non-instrumented zones in and between 16 ASUs as white lines parallel to the x axis.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/elec_Display_200.gif_

eps - pdf

Electron Energy Deposit with Pile-Up: Zoom on the position of the energy deposited in the sensors of the HGTD-SiW by an electron with a transverse momentum of 45 GeV in sampling/layer 3 pile-up with a μ=200 events is shown as function of the position in x and y coordinates. The energy deposit is in units 44 keV (MIP). The change of the granularity is visible, e.g. at (x=0, y=285mm) as well as the non-instrumented zones in and between ASUs as white lines parallel to the x axis.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/elec_Display_lego200.gif_

eps - pdf

Average Cluster Radius: The average cluster radius of electrons with a transverse momentum of 45 GeV in the HGTD-SiW is shown as function of the sampling/layer for the region with the tungsten absorbers using an ATLAS simulation. The electron cluster is reconstructed in a cylinder of radius 30mm (three times the Molière radius). The radius is calculated as energy weighted coordinates and the error bar is the RMS.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/elec_showerRadius.gif_

eps - pdf

Number of Cells in Cluster: The average number of cells in an electron cluster in the HGTD Preshower is shown as function of the sampling/layer for the region with the tungsten absorbers using an ATLAS simulation of electrons with a transverse momentum of 45 GeV. The electron cluster is reconstructed in a cylinder of radius 30mm (three times the Molière radius). The error bars is the RMS. The cluster time resolution would be 5-10ps if a MIP can be measured in each cell with a timeresolution of 50 ps or better.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/elec_nCells.gif_

eps - pdf

Electron Energy Deposit: The distribution of the energy deposited in the sensor of the HGTD-Si in samplings/layers 0 is shown for an ATLAS simulation of electrons with a transverse momentum of 45 GeV.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/elec_Es0.gif_

eps - pdf

Electron Energy Deposit: The distribution of the energy deposited in the sensor of the HGTD-Si in samplings/layers 3 is shown for an ATLAS simulation of electrons with a transverse momentum of 45 GeV. For the HGTD-Si the dynamic range for 99% quantiles goes up to 0.9 MeV (22xMIP). For the HGTD-SiW the dynamic range goes up to 23 MeV (563xMIP).

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/elec_Es3.gif_

eps - pdf

Old plots: more Simulation/performance (2017)

Presented are event displays for one VBF event simulated with and without pile-up showing the hits on the first layer of the HGTD simulated in front of the Liquid-Argon end-cap calorimeter. The time distribution of the hits associated to one jet in the sample is shown assuming a detector time resolution of 30 ps and selected with different distances to the reconstructed jet axis.

border=1 cellpadding=10 cellspacing=10>

Scatter Plot of HGTD Hits: Scatter plot of the HGTD hits associated to calorimeter jets with pT > 30 GeV. HGTD cells have size of 1 mm x 1 mm in the inner region (|x|<300 mm, |y|<300mm), and 3 mm x 3 mm outside this region up to a radius of 600 mm with respect to the beam axis. Jets are reconstructed with the anti-kt algorithm using topological clusters and radius parameter of 0.4, the jet momentum is corrected for pile-up and calibrated for the detector response. The event simulated is a VBF Higgs decaying to invisible, without pile-up in the top and including pile-up with an average of 200 interactions in the bottom; hits from the signal jet are shown in red. Only hits within a radius of 0.4 in η-φ coordinates with respect to the jet direction and in the HGTD first sensitive layer are shown.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/EventDisplay_CellsXYN_jet_mu0.png_

pdf

Scatter Plot of HGTD Hits: Scatter plot of the HGTD hits associated to calorimeter jets with pT > 30 GeV. HGTD cells have size of 1 mm x 1 mm in the inner region (|x|<300 mm, |y|<300mm), and 3 mm x 3 mm outside this region up to a radius of 600 mm with respect to the beam axis. Jets are reconstructed with the anti-kt algorithm using topological clusters and radius parameter of 0.4, the jet momentum is corrected for pile-up and calibrated for the detector response. The event simulated is a VBF Higgs decaying to invisible, without pile-up in the top and including pile-up with an average of 200 interactions in the bottom; hits from the signal jet are shown in red. Only hits within a radius of 0.4 in η-φ coordinates with respect to the jet direction and in the HGTD first sensitive layer are shown.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/EventDisplay_CellsXYP_jet_mu0.png_

pdf

Scatter Plot of HGTD Hits: Scatter plot of the HGTD hits associated to calorimeter jets with pT > 30 GeV. HGTD cells have size of 1 mm x 1 mm in the inner region (|x|<300 mm, |y|<300mm), and 3 mm x 3 mm outside this region up to a radius of 600 mm with respect to the beam axis. Jets are reconstructed with the anti-kt algorithm using topological clusters and radius parameter of 0.4, the jet momentum is corrected for pile-up and calibrated for the detector response. The event simulated is a VBF Higgs decaying to invisible, without pile-up in the top and including pile-up with an average of 200 interactions in the bottom; hits from the signal jet are shown in red. Only hits within a radius of 0.4 in η-φ coordinates with respect to the jet direction and in the HGTD first sensitive layer are shown.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/EventDisplay_CellsXYN_jet.png_

pdf

Scatter Plot of HGTD Hits: Scatter plot of the HGTD hits associated to calorimeter jets with pT > 30 GeV. HGTD cells have size of 1 mm x 1 mm in the inner region (|x|<300 mm, |y|<300mm), and 3 mm x 3 mm outside this region up to a radius of 600 mm with respect to the beam axis. Jets are reconstructed with the anti-kt algorithm using topological clusters and radius parameter of 0.4, the jet momentum is corrected for pile-up and calibrated for the detector response. The event simulated is a VBF Higgs decaying to invisible, without pile-up in the top and including pile-up with an average of 200 interactions in the bottom; hits from the signal jet are shown in red. Only hits within a radius of 0.4 in η-φ coordinates with respect to the jet direction and in the HGTD first sensitive layer are shown.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/EventDisplay_CellsXYP_jet.png_

pdf

Time Distribution of HGTD Hits: Time distribution of HGTD hits for one reconstructed jet in a sample of VBF Higgs events with an average of 200 pile-up interactions (black histograms). The jet corresponds to one of the generated VBF quark jets with pT =72 GeV and η =2.7. The events are simulated with a p-p collision time smearing of 175 ps; texp denotes the expected flight time from the center of ATLAS assuming a straight path and speed of light. Hits are smeared by 30 ps to simulate the detector resolution. The distributions correspond to hits within a cone of radius 0.4 (left), 0.2 (middle), and 0.1 (right) in η-φ coordinates with respect to the jet direction from the 4 sensitive silicon layers. The red histogram corresponds to the hit distribution of the same jet simulated without pile-up.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/EventDisplay_CellsdT_jet_Jet1.png_

pdf

Time Distribution of HGTD Hits: Time distribution of HGTD hits for one reconstructed jet in a sample of VBF Higgs events with an average of 200 pile-up interactions (black histograms). The jet corresponds to one of the generated VBF quark jets with pT =72 GeV and η =2.7. The events are simulated with a p-p collision time smearing of 175 ps; texp denotes the expected flight time from the center of ATLAS assuming a straight path and speed of light. Hits are smeared by 30 ps to simulate the detector resolution. The distributions correspond to hits within a cone of radius 0.4 (left), 0.2 (middle), and 0.1 (right) in η-φ coordinates with respect to the jet direction from the 4 sensitive silicon layers. The red histogram corresponds to the hit distribution of the same jet simulated without pile-up.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/EventDisplay_CellsdT_core2_Jet1.png_

pdf

Time Distribution of HGTD Hits: Time distribution of HGTD hits for one reconstructed jet in a sample of VBF Higgs events with an average of 200 pile-up interactions (black histograms). The jet corresponds to one of the generated VBF quark jets with pT =72 GeV and η =2.7. The events are simulated with a p-p collision time smearing of 175 ps; texp denotes the expected flight time from the center of ATLAS assuming a straight path and speed of light. Hits are smeared by 30 ps to simulate the detector resolution. The distributions correspond to hits within a cone of radius 0.4 (left), 0.2 (middle), and 0.1 (right) in η-φ coordinates with respect to the jet direction from the 4 sensitive silicon layers. The red histogram corresponds to the hit distribution of the same jet simulated without pile-up.

_ https://twiki.cern.ch/twiki/pub/AtlasPublic/LArHGTDPublicPlots/EventDisplay_CellsdT_core1_Jet1.png_

pdf

<!-- For significant updates to the topic, consider adding your 'signature' (beneath this editing box) --> Major updates:
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-- ChristianOhm - 2019-07-13

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Topic attachments
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PNGpng ATLAS_HPK_5x5_SMPL_W8_P11_GRgnd-1.png r1 manage 85.1 K 2019-05-06 - 23:24 SimoneMicheleMazza IV of a 5x5 HPK 3.1 array with probe card
PDFpdf ATLAS_HPK_5x5_SMPL_W8_P11_GRgnd.pdf r1 manage 30.2 K 2019-05-06 - 23:24 SimoneMicheleMazza IV of a 5x5 HPK 3.1 array with probe card
PDFpdf B24_ch3_120_reso.pdf r1 manage 14.8 K 2018-11-30 - 15:29 ChristinaAgapopoulou  
PNGpng B24_ch3_120_reso.png r1 manage 47.8 K 2018-11-30 - 15:29 ChristinaAgapopoulou  
Unknown file formateps Beamspot.eps r1 manage 182.1 K 2017-07-05 - 17:31 DirkZerwas  
PDFpdf Beamspot.pdf r1 manage 212.3 K 2017-07-05 - 17:31 DirkZerwas  
PNGpng Beamspot.png r1 manage 32.7 K 2017-07-05 - 17:31 DirkZerwas  
PNGpng CC_WF_proposal_3E15-1.png r1 manage 73.3 K 2019-05-09 - 22:46 SimoneMicheleMazza Simulated collected charge for deep B+C
PDFpdf CC_WF_proposal_3E15.pdf r1 manage 16.2 K 2019-05-09 - 22:46 SimoneMicheleMazza Simulated collected charge for deep B+C
PNGpng CC_WF_proposal_6E15-1.png r1 manage 62.8 K 2019-05-09 - 22:46 SimoneMicheleMazza Simulated collected charge for deep B+C
PDFpdf CC_WF_proposal_6E15.pdf r1 manage 15.2 K 2019-05-09 - 22:46 SimoneMicheleMazza Simulated collected charge for deep B+C
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PDFpdf Charge_Probe_LandauMpv_vs_biasVoltage.pdf r1 manage 14.5 K 2016-10-14 - 17:57 MartinAleksa  
PNGpng Charge_Probe_LandauMpv_vs_biasVoltage.png r1 manage 16.3 K 2016-10-14 - 17:57 MartinAleksa  
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PDFpdf Charge_Trigger_LandauMpv.pdf r1 manage 15.9 K 2016-10-14 - 17:52 MartinAleksa  
PNGpng Charge_Trigger_LandauMpv.png r1 manage 17.7 K 2016-10-14 - 17:52 MartinAleksa  
PNGpng Charge_vs_fluence-1.png r1 manage 71.1 K 2019-05-09 - 22:51 SimoneMicheleMazza Collected charge vs fluence
PDFpdf Charge_vs_fluence.pdf r1 manage 15.1 K 2019-05-09 - 22:51 SimoneMicheleMazza Collected charge vs fluence
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PDFpdf ElectronIsolationZ0only.pdf r1 manage 14.9 K 2017-09-27 - 13:52 DirkZerwas  
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PDFpdf Electrons_nCells.pdf r1 manage 34.5 K 2017-07-05 - 18:02 DirkZerwas  
PNGpng Electrons_nCells.png r1 manage 104.4 K 2017-07-05 - 18:02 DirkZerwas  
PDFpdf EventDisplay_CellsXYN_jet.pdf r1 manage 97.8 K 2016-10-14 - 17:20 MartinAleksa  
PNGpng EventDisplay_CellsXYN_jet.png r1 manage 48.8 K 2016-10-14 - 17:20 MartinAleksa  
PDFpdf EventDisplay_CellsXYN_jet_mu0.pdf r1 manage 69.6 K 2016-10-14 - 17:20 MartinAleksa  
PNGpng EventDisplay_CellsXYN_jet_mu0.png r1 manage 28.1 K 2016-10-14 - 17:20 MartinAleksa  
PDFpdf EventDisplay_CellsXYP_jet.pdf r1 manage 114.9 K 2016-10-14 - 17:20 MartinAleksa  
PNGpng EventDisplay_CellsXYP_jet.png r1 manage 63.0 K 2016-10-14 - 17:20 MartinAleksa  
PDFpdf EventDisplay_CellsXYP_jet_mu0.pdf r1 manage 70.3 K 2016-10-14 - 17:20 MartinAleksa  
PNGpng EventDisplay_CellsXYP_jet_mu0.png r1 manage 28.8 K 2016-10-14 - 17:20 MartinAleksa  
PDFpdf EventDisplay_CellsdT_core1_Jet1.pdf r1 manage 15.1 K 2016-10-14 - 17:23 MartinAleksa  
PNGpng EventDisplay_CellsdT_core1_Jet1.png r1 manage 15.4 K 2016-10-14 - 17:23 MartinAleksa  
PDFpdf EventDisplay_CellsdT_core2_Jet1.pdf r1 manage 15.3 K 2016-10-14 - 17:23 MartinAleksa  
PNGpng EventDisplay_CellsdT_core2_Jet1.png r1 manage 15.7 K 2016-10-14 - 17:23 MartinAleksa  
PDFpdf EventDisplay_CellsdT_jet_Jet1.pdf r1 manage 15.4 K 2016-10-14 - 17:23 MartinAleksa  
PNGpng EventDisplay_CellsdT_jet_Jet1.png r1 manage 16.2 K 2016-10-14 - 17:23 MartinAleksa  
PNGpng FBK_CC-1.png r1 manage 61.4 K 2019-05-06 - 22:12 SimoneMicheleMazza Collected charge for HGTD TDR studied sensors
PDFpdf FBK_CC.pdf r1 manage 15.0 K 2019-05-06 - 22:12 SimoneMicheleMazza Collected charge for HGTD TDR studied sensors
PNGpng FBK_TimeRes-1.png r1 manage 61.3 K 2019-05-09 - 22:39 SimoneMicheleMazza Time resolution for HGTD LGADs
PDFpdf FBK_TimeRes.pdf r1 manage 14.7 K 2019-05-09 - 22:39 SimoneMicheleMazza Time resolution for HGTD LGADs
PDFpdf FBK_TimeRes_lin.pdf r1 manage 15.1 K 2019-05-14 - 01:07 SimoneMicheleMazza Time resolution for HGTD LGADs (linear scale)
PNGpng FBK_TimeRes_lin.png r1 manage 1215.0 K 2019-05-14 - 01:07 SimoneMicheleMazza Time resolution for HGTD LGADs (linear scale)
Unknown file formateps Gain_Probe_LandauMpv_vs_biasVoltage.eps r1 manage 10.0 K 2016-10-14 - 17:57 MartinAleksa  
PDFpdf Gain_Probe_LandauMpv_vs_biasVoltage.pdf r1 manage 14.6 K 2016-10-14 - 17:57 MartinAleksa  
PNGpng Gain_Probe_LandauMpv_vs_biasVoltage.png r1 manage 16.1 K 2016-10-14 - 17:57 MartinAleksa  
Unknown file formateps HGTD-0v0.eps r1 manage 163.6 K 2016-10-14 - 17:06 MartinAleksa  
PDFpdf HGTD-0v0.pdf r1 manage 30.3 K 2016-10-14 - 17:06 MartinAleksa  
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PDFpdf HGTD-3v1.pdf r1 manage 30.0 K 2016-10-14 - 17:06 MartinAleksa  
PNGpng HGTD-3v1.png r1 manage 56.6 K 2016-10-14 - 17:06 MartinAleksa  
Unknown file formateps HGTD-SiW.eps r1 manage 15.9 K 2016-10-14 - 16:27 MartinAleksa  
PDFpdf HGTD-SiW.pdf r1 manage 18.9 K 2016-10-14 - 16:27 MartinAleksa  
PNGpng HGTD-SiW.png r1 manage 33.5 K 2016-10-14 - 16:27 MartinAleksa  
PDFpdf HGTD-radplots.pdf r1 manage 146.7 K 2016-10-17 - 17:12 AnaHenriques HGTDLGAD_rad_tolerance
PDFpdf HGTD_radiationlevels.pdf r1 manage 180.1 K 2016-10-17 - 17:10 AnaHenriques HGTD expected radiation levels
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PNGpng HGTD_trkIso_vs_density_time30_60_final_eta0_3.6.png r1 manage 42.0 K 2017-07-03 - 18:32 DirkZerwas  
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PDFpdf HGTD_trkIso_vs_density_time30_60_final_eta2.6_3.6.pdf r1 manage 15.8 K 2017-06-19 - 08:47 MartinAleksa  
PDFpdf HGTD_trkIso_vs_density_time30_60_final_eta2.6_3.6.pdf.pdf r1 manage 62.3 K 2017-06-13 - 10:37 MartinAleksa  
PNGpng HGTD_trkIso_vs_density_time30_60_final_eta2.6_3.6.png r2 r1 manage 64.6 K 2017-06-19 - 08:47 MartinAleksa  
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PDFpdf HGTDasu200x200V1.pdf r1 manage 21.5 K 2016-10-14 - 17:06 MartinAleksa  
PNGpng HGTDasu200x200V1.png r1 manage 24.7 K 2016-10-14 - 17:06 MartinAleksa  
Unknown file formateps HGTimingV7.eps r1 manage 100.1 K 2016-10-14 - 17:06 MartinAleksa  
PDFpdf HGTimingV7.pdf r1 manage 39.7 K 2016-10-14 - 17:07 MartinAleksa  
PNGpng HGTimingV7.png r1 manage 343.7 K 2016-10-14 - 17:07 MartinAleksa  
JPEGjpg HPK_15x15.jpg r1 manage 212.5 K 2019-04-30 - 21:36 SimoneMicheleMazza Microscope photo of an HPK-3.1-50 15x15 array
PNGpng HPK_30_CC-1.png r1 manage 69.8 K 2019-05-06 - 22:12 SimoneMicheleMazza Collected charge for HGTD TDR studied sensors
PDFpdf HPK_30_CC.pdf r1 manage 14.8 K 2019-05-06 - 22:12 SimoneMicheleMazza Collected charge for HGTD TDR studied sensors
PNGpng HPK_30_TimeRes-1.png r1 manage 67.1 K 2019-05-09 - 22:39 SimoneMicheleMazza Time resolution for HGTD LGADs
PDFpdf HPK_30_TimeRes.pdf r1 manage 14.5 K 2019-05-09 - 22:39 SimoneMicheleMazza Time resolution for HGTD LGADs
PDFpdf HPK_30_TimeRes_lin.pdf r1 manage 14.9 K 2019-05-14 - 01:07 SimoneMicheleMazza Time resolution for HGTD LGADs (linear scale)
PNGpng HPK_30_TimeRes_lin.png r1 manage 1215.0 K 2019-05-14 - 01:07 SimoneMicheleMazza Time resolution for HGTD LGADs (linear scale)
PNGpng HPK_31_CC-1.png r1 manage 79.0 K 2019-05-06 - 22:12 SimoneMicheleMazza Collected charge for HGTD TDR studied sensors
PDFpdf HPK_31_CC.pdf r1 manage 16.3 K 2019-05-06 - 22:12 SimoneMicheleMazza Collected charge for HGTD TDR studied sensors
PNGpng HPK_31_TimeRes-1.png r1 manage 79.3 K 2019-05-09 - 22:39 SimoneMicheleMazza Time resolution for HGTD LGADs
PDFpdf HPK_31_TimeRes.pdf r1 manage 16.1 K 2019-05-09 - 22:39 SimoneMicheleMazza Time resolution for HGTD LGADs
PDFpdf HPK_31_TimeRes_lin.pdf r1 manage 16.4 K 2019-05-14 - 01:07 SimoneMicheleMazza Time resolution for HGTD LGADs (linear scale)
PNGpng HPK_31_TimeRes_lin.png r1 manage 1215.0 K 2019-05-14 - 01:07 SimoneMicheleMazza Time resolution for HGTD LGADs (linear scale)
PNGpng HPK_32_CC-1.png r1 manage 62.8 K 2019-05-06 - 22:12 SimoneMicheleMazza Collected charge for HGTD TDR studied sensors
PDFpdf HPK_32_CC.pdf r1 manage 15.4 K 2019-05-06 - 22:12 SimoneMicheleMazza Collected charge for HGTD TDR studied sensors
PNGpng HPK_32_TimeRes-1.png r1 manage 66.3 K 2019-05-09 - 22:39 SimoneMicheleMazza Time resolution for HGTD LGADs
PDFpdf HPK_32_TimeRes.pdf r1 manage 15.2 K 2019-05-09 - 22:39 SimoneMicheleMazza Time resolution for HGTD LGADs
PDFpdf HPK_32_TimeRes_lin.pdf r1 manage 15.6 K 2019-05-14 - 01:07 SimoneMicheleMazza Time resolution for HGTD LGADs (linear scale)
PNGpng HPK_32_TimeRes_lin.png r1 manage 1215.0 K 2019-05-14 - 01:07 SimoneMicheleMazza Time resolution for HGTD LGADs (linear scale)
Unknown file formateps HSeffPU2_highpt_18.eps r2 r1 manage 13.2 K 2017-07-05 - 15:01 DirkZerwas  
PDFpdf HSeffPU2_highpt_18.pdf r2 r1 manage 15.5 K 2017-07-05 - 15:01 DirkZerwas  
PNGpng HSeffPU2_highpt_18.png r2 r1 manage 49.0 K 2017-07-05 - 15:01 DirkZerwas  
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PDFpdf LumiRelativeStatErrorVsMu.pdf r1 manage 14.7 K 2018-02-20 - 11:46 ChristianOhm  
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PDFpdf Muons_EfctR.pdf r1 manage 14.8 K 2016-10-14 - 16:38 MartinAleksa  
Unknown file formateps Muons_effR0.eps r1 manage 10.5 K 2016-10-14 - 16:39 MartinAleksa  
GIFgif Muons_effR0.gif r1 manage 9.9 K 2016-10-14 - 16:39 MartinAleksa  
PDFpdf Muons_effR0.pdf r1 manage 15.3 K 2016-10-14 - 16:39 MartinAleksa  
Unknown file formateps Muons_effR4.eps r1 manage 10.6 K 2016-10-14 - 16:39 MartinAleksa  
GIFgif Muons_effR4.gif r1 manage 10.0 K 2016-10-14 - 16:39 MartinAleksa  
PDFpdf Muons_effR4.pdf r1 manage 14.7 K 2016-10-14 - 16:39 MartinAleksa  
Unknown file formateps Muons_effXY0.eps r1 manage 14.9 K 2016-10-14 - 16:45 MartinAleksa  
GIFgif Muons_effXY0.gif r1 manage 14.4 K 2016-10-14 - 16:45 MartinAleksa  
PDFpdf Muons_effXY0.pdf r1 manage 15.0 K 2016-10-14 - 16:45 MartinAleksa  
Unknown file formateps Muons_effXY4.eps r1 manage 68.4 K 2016-10-14 - 16:45 MartinAleksa  
GIFgif Muons_effXY4.gif r1 manage 21.8 K 2016-10-14 - 16:45 MartinAleksa  
PDFpdf Muons_effXY4.pdf r1 manage 25.6 K 2016-10-14 - 16:45 MartinAleksa  
Unknown file formateps Occupancy_MB_Si_all.eps r1 manage 102.6 K 2017-09-29 - 11:21 DirkZerwas  
PDFpdf Occupancy_MB_Si_all.pdf r1 manage 23.4 K 2017-09-29 - 11:21 DirkZerwas  
PNGpng Occupancy_MB_Si_all.png r1 manage 20.5 K 2017-09-29 - 11:21 DirkZerwas  
PNGpng PD_voltage-1.png r1 manage 73.4 K 2019-05-09 - 22:51 SimoneMicheleMazza Power dissipation
PDFpdf PD_voltage.pdf r1 manage 15.2 K 2019-05-09 - 22:51 SimoneMicheleMazza Power dissipation
Unknown file formateps PUeffpt3050.eps r1 manage 11.4 K 2017-10-02 - 13:15 DirkZerwas  
PDFpdf PUeffpt3050.pdf r1 manage 14.6 K 2017-10-02 - 13:15 DirkZerwas  
Unknown file formateps PUeffpt3050.pdf.eps r1 manage 11.4 K 2017-10-02 - 13:13 DirkZerwas  
PDFpdf PUeffpt3050.pdf.pdf r1 manage 14.6 K 2017-10-02 - 13:13 DirkZerwas  
PNGpng PUeffpt3050.pdf.png r1 manage 41.9 K 2017-10-02 - 13:13 DirkZerwas  
PNGpng PUeffpt3050.png r1 manage 41.9 K 2017-10-02 - 13:15 DirkZerwas  
Unknown file formateps Photons_nCellsC0.eps r1 manage 71.6 K 2017-07-05 - 18:03 DirkZerwas  
PDFpdf Photons_nCellsC0.pdf r1 manage 31.9 K 2017-07-05 - 18:03 DirkZerwas  
PNGpng Photons_nCellsC0.png r1 manage 107.3 K 2017-07-05 - 18:03 DirkZerwas  
Unknown file formateps Pulse_33_48_3.eps r1 manage 10.9 K 2016-10-14 - 17:52 MartinAleksa  
PDFpdf Pulse_33_48_3.pdf r1 manage 16.5 K 2016-10-14 - 17:52 MartinAleksa  
PNGpng Pulse_33_48_3.png r1 manage 14.9 K 2016-10-14 - 17:52 MartinAleksa  
Unknown file formateps Pulse_Nominal.eps r1 manage 88.8 K 2017-07-05 - 17:47 DirkZerwas  
PDFpdf Pulse_Nominal.pdf r1 manage 52.8 K 2017-07-05 - 17:47 DirkZerwas  
PNGpng Pulse_Nominal.png r1 manage 15.8 K 2017-07-05 - 17:47 DirkZerwas  
Unknown file formateps RMSMETPU2HGTD.eps r1 manage 10.9 K 2017-10-02 - 18:03 DirkZerwas  
PDFpdf RMSMETPU2HGTD.pdf r1 manage 14.1 K 2017-10-02 - 18:03 DirkZerwas  
PNGpng RMSMETPU2HGTD.png r1 manage 40.9 K 2017-10-02 - 18:03 DirkZerwas  
Unknown file formateps ROC24-38_16.eps r1 manage 12.2 K 2017-07-05 - 16:16 DirkZerwas  
PDFpdf ROC24-38_16.pdf r1 manage 15.1 K 2017-07-05 - 16:17 DirkZerwas  
PNGpng ROC24-38_16.png r2 r1 manage 69.0 K 2017-07-05 - 16:16 DirkZerwas  
PDFpdf Radiation_IDR_last.pdf r2 r1 manage 215.6 K 2017-02-23 - 10:30 AnaHenriques  
Unknown file formateps RiseTime_Probe_GausMean_vs_biasVoltage.eps r1 manage 9.2 K 2016-10-14 - 18:09 MartinAleksa  
PDFpdf RiseTime_Probe_GausMean_vs_biasVoltage.pdf r1 manage 14.4 K 2016-10-14 - 18:09 MartinAleksa  
PNGpng RiseTime_Probe_GausMean_vs_biasVoltage.png r1 manage 16.5 K 2016-10-14 - 18:09 MartinAleksa  
Unknown file formateps SOverN_Probe_GausMean_vs_biasVoltage.eps r1 manage 9.2 K 2016-10-14 - 18:01 MartinAleksa  
PDFpdf SOverN_Probe_GausMean_vs_biasVoltage.pdf r1 manage 14.3 K 2016-10-14 - 18:01 MartinAleksa  
PNGpng SOverN_Probe_GausMean_vs_biasVoltage.png r1 manage 15.6 K 2016-10-14 - 18:01 MartinAleksa  
Unknown file formateps Si-ItkIncl-Nom-minbiasLowPt-nHitsVsMu-Eta2p8to3p0.eps r1 manage 18.9 K 2017-07-05 - 16:12 DirkZerwas  
PDFpdf Si-ItkIncl-Nom-minbiasLowPt-nHitsVsMu-Eta2p8to3p0.pdf r1 manage 21.2 K 2017-07-05 - 16:12 DirkZerwas  
PNGpng Si-ItkIncl-Nom-minbiasLowPt-nHitsVsMu-Eta2p8to3p0.png r1 manage 42.8 K 2017-07-05 - 16:12 DirkZerwas  
Unknown file formateps Si-ItkIncl-Nom-minbiasLowPt-nHitsVsMu-Etafull.eps r1 manage 16.5 K 2017-07-05 - 16:12 DirkZerwas  
PDFpdf Si-ItkIncl-Nom-minbiasLowPt-nHitsVsMu-Etafull.pdf r1 manage 20.1 K 2017-07-05 - 16:12 DirkZerwas  
PNGpng Si-ItkIncl-Nom-minbiasLowPt-nHitsVsMu-Etafull.png r1 manage 40.9 K 2017-07-05 - 16:12 DirkZerwas  
PDFpdf Sim_July2019_1_ModuleOverlaps.pdf r1 manage 30.3 K 2019-07-13 - 10:32 ChristianOhm Simulation performance plots July 2019, batch 1
PNGpng Sim_July2019_1_ModuleOverlaps.png r1 manage 35.5 K 2019-07-13 - 10:32 ChristianOhm Simulation performance plots July 2019, batch 1
PDFpdf Sim_July2019_2a_x0.pdf r1 manage 99.9 K 2019-07-13 - 10:32 ChristianOhm Simulation performance plots July 2019, batch 1
PNGpng Sim_July2019_2a_x0.png r1 manage 186.1 K 2019-07-13 - 10:32 ChristianOhm Simulation performance plots July 2019, batch 1
PDFpdf Sim_July2019_2b_lambda.pdf r1 manage 144.7 K 2019-07-13 - 10:32 ChristianOhm Simulation performance plots July 2019, batch 1
PNGpng Sim_July2019_2b_lambda.png r1 manage 166.3 K 2019-07-13 - 10:32 ChristianOhm Simulation performance plots July 2019, batch 1
PDFpdf Sim_July2019_3_MainParameters.pdf r1 manage 91.4 K 2019-07-13 - 10:32 ChristianOhm Simulation performance plots July 2019, batch 1
PNGpng Sim_July2019_3_MainParameters.png r1 manage 43.7 K 2019-07-13 - 10:32 ChristianOhm Simulation performance plots July 2019, batch 1
PNGpng Sim_July2019_4_EventDisplay.png r1 manage 289.8 K 2019-07-13 - 10:32 ChristianOhm Simulation performance plots July 2019, batch 1
PDFpdf Sim_July2019_5a_ModulePlacementQuadrant.pdf r2 r1 manage 239.3 K 2019-07-13 - 11:22 ChristianOhm Simulation performance plots July 2019, batch 2
PNGpng Sim_July2019_5a_ModulePlacementQuadrant.png r2 r1 manage 743.0 K 2019-07-13 - 11:22 ChristianOhm Simulation performance plots July 2019, batch 2
PDFpdf Sim_July2019_5b_ModulePlacementFullDisk.pdf r1 manage 239.3 K 2019-07-13 - 10:34 ChristianOhm Simulation performance plots July 2019, batch 2
PNGpng Sim_July2019_5b_ModulePlacementFullDisk.png r2 r1 manage 1124.8 K 2019-07-13 - 11:21 ChristianOhm Simulation performance plots July 2019, batch 2
PDFpdf Sim_July2019_6a_HitTimingResolution.pdf r1 manage 23.1 K 2019-07-13 - 10:35 ChristianOhm Simulation performance plots July 2019, batch 2
PNGpng Sim_July2019_6a_HitTimingResolution.png r1 manage 189.9 K 2019-07-13 - 10:35 ChristianOhm Simulation performance plots July 2019, batch 2
PDFpdf Sim_July2019_6b_TrackTimingResolution.pdf r1 manage 23.3 K 2019-07-13 - 10:35 ChristianOhm Simulation performance plots July 2019, batch 2
PNGpng Sim_July2019_6b_TrackTimingResolution.png r1 manage 201.3 K 2019-07-13 - 10:35 ChristianOhm Simulation performance plots July 2019, batch 2
PDFpdf Sim_July2019_7_OccupancyITkStep3p0.pdf r1 manage 127.2 K 2019-07-13 - 10:35 ChristianOhm Simulation performance plots July 2019, batch 2
PNGpng Sim_July2019_7_OccupancyITkStep3p0.png r1 manage 49.8 K 2019-07-13 - 10:35 ChristianOhm Simulation performance plots July 2019, batch 2
PNGpng Sim_July2019_8_nHits_xy.png r1 manage 361.4 K 2019-07-13 - 10:36 ChristianOhm Simulation performance plots July 2019, batch 3
PDFpdf TB_Oct18_toaDistr_tw.pdf r1 manage 16.2 K 2018-11-30 - 13:58 ChristinaAgapopoulou  
PNGpng TB_Oct18_toaDistr_tw.png r1 manage 39.3 K 2018-11-30 - 14:14 ChristinaAgapopoulou  
PNGpng TCT_distances-1.png r1 manage 83.6 K 2019-05-09 - 22:52 SimoneMicheleMazza IP distances with TCT
PDFpdf TCT_distances.pdf r1 manage 18.5 K 2019-05-09 - 22:52 SimoneMicheleMazza IP distances with TCT
Unknown file formateps TOA.eps r1 manage 10.5 K 2017-07-05 - 17:43 DirkZerwas  
PDFpdf TOA.pdf r1 manage 15.2 K 2017-07-05 - 17:43 DirkZerwas  
PNGpng TOA.png r1 manage 15.2 K 2017-07-05 - 17:43 DirkZerwas  
Unknown file formateps TrackMatchEff_pt.eps r1 manage 10.9 K 2017-07-04 - 19:36 DirkZerwas  
PDFpdf TrackMatchEff_pt.pdf r1 manage 14.9 K 2017-07-04 - 19:37 DirkZerwas  
PNGpng TrackMatchEff_pt.png r1 manage 19.3 K 2017-07-04 - 19:37 DirkZerwas  
Unknown file formateps TrackTimeMatchEff_EffvsPt.eps r1 manage 10.9 K 2017-07-04 - 19:36 DirkZerwas  
PDFpdf TrackTimeMatchEff_EffvsPt.pdf r1 manage 15.0 K 2017-07-04 - 19:36 DirkZerwas  
PNGpng TrackTimeMatchEff_EffvsPt.png r1 manage 20.0 K 2017-07-04 - 19:36 DirkZerwas  
Unknown file formateps TrackdTPublicPlot_1mm.eps r1 manage 14.8 K 2017-07-04 - 19:36 DirkZerwas  
PDFpdf TrackdTPublicPlot_1mm.pdf r1 manage 19.0 K 2017-07-04 - 19:36 DirkZerwas  
PNGpng TrackdTPublicPlot_1mm.png r1 manage 23.9 K 2017-07-05 - 07:49 DirkZerwas  
Unknown file formateps TrackdTPublicPlot_3mm.eps r1 manage 15.0 K 2017-07-05 - 07:49 DirkZerwas  
PDFpdf TrackdTPublicPlot_3mm.pdf r1 manage 19.3 K 2017-07-05 - 07:48 DirkZerwas  
PNGpng TrackdTPublicPlot_3mm.png r1 manage 25.8 K 2017-07-05 - 07:48 DirkZerwas  
Unknown file formateps TrackdXPublicPlot_1mm.eps r2 r1 manage 13.2 K 2017-07-05 - 07:58 DirkZerwas  
PDFpdf TrackdXPublicPlot_1mm.pdf r2 r1 manage 20.0 K 2017-07-05 - 07:58 DirkZerwas  
PNGpng TrackdXPublicPlot_1mm.png r2 r1 manage 19.4 K 2017-07-05 - 07:58 DirkZerwas  
Unknown file formateps TrackdXPublicPlot_3mm.eps r2 r1 manage 14.2 K 2017-07-05 - 07:57 DirkZerwas  
PDFpdf TrackdXPublicPlot_3mm.pdf r2 r1 manage 20.3 K 2017-07-05 - 07:57 DirkZerwas  
PNGpng TrackdXPublicPlot_3mm.png r2 r1 manage 21.1 K 2017-07-05 - 07:57 DirkZerwas  
Unknown file formateps Treco.eps r1 manage 11.9 K 2017-07-05 - 17:47 DirkZerwas  
PDFpdf Treco.pdf r1 manage 16.6 K 2017-07-05 - 17:47 DirkZerwas  
PNGpng Treco.png r1 manage 14.3 K 2017-07-05 - 17:47 DirkZerwas  
Unknown file formateps Truth_Vertex.eps r2 r1 manage 15.9 K 2017-09-21 - 09:30 DirkZerwas  
PDFpdf Truth_Vertex.pdf r2 r1 manage 20.7 K 2017-09-21 - 09:31 DirkZerwas  
PNGpng Truth_Vertex.png r2 r1 manage 28.1 K 2017-09-21 - 10:09 DirkZerwas  
Unknown file formateps Truth_Vertex_zoom.eps r2 r1 manage 12.1 K 2017-09-21 - 09:32 DirkZerwas  
PDFpdf Truth_Vertex_zoom.pdf r2 r1 manage 15.4 K 2017-09-21 - 09:33 DirkZerwas  
PNGpng Truth_Vertex_zoom.png r2 r1 manage 19.1 K 2017-09-21 - 09:34 DirkZerwas  
PDFpdf VBD2Dmap15x15ArrayType3p1.pdf r1 manage 15.1 K 2019-05-02 - 11:15 JoernLange VBD map of HPK-3.1-50 15x15 array
PNGpng VBD2Dmap15x15ArrayType3p1.png r1 manage 15.4 K 2019-05-02 - 11:34 JoernLange VBD map of HPK-3.1-50 15x15 array
Unknown file formateps W11_HG11_effR_vs_y.eps r1 manage 21.4 K 2017-01-24 - 18:06 MartinAleksa  
PDFpdf W11_HG11_effR_vs_y.pdf r1 manage 17.8 K 2017-01-24 - 18:06 MartinAleksa  
PNGpng W11_HG11_effR_vs_y.png r1 manage 32.6 K 2017-01-24 - 18:06 MartinAleksa  
Unknown file formateps bVSlight__MV1.eps r1 manage 32.8 K 2017-09-29 - 13:06 DirkZerwas  
PDFpdf bVSlight__MV1.pdf r1 manage 43.2 K 2017-09-29 - 13:06 DirkZerwas  
PNGpng bVSlight__MV1.png r1 manage 26.4 K 2017-09-29 - 13:06 DirkZerwas  
Unknown file formateps batch207_deltaT.eps r1 manage 183.9 K 2018-05-17 - 15:30 MakovecNikola  
GIFgif batch207_deltaT.gif r1 manage 31.8 K 2018-05-17 - 15:30 MakovecNikola  
PDFpdf batch207_deltaT.pdf r1 manage 38.2 K 2018-05-17 - 15:30 MakovecNikola  
Unknown file formateps batch207_eff.eps r1 manage 176.6 K 2018-05-17 - 15:30 MakovecNikola  
GIFgif batch207_eff.gif r1 manage 23.9 K 2018-05-17 - 15:30 MakovecNikola  
PDFpdf batch207_eff.pdf r1 manage 42.1 K 2018-05-17 - 15:30 MakovecNikola  
Unknown file formateps batch207_effX.eps r1 manage 23.9 K 2018-05-17 - 15:30 MakovecNikola  
GIFgif batch207_effX.gif r1 manage 20.3 K 2018-05-17 - 15:30 MakovecNikola  
PDFpdf batch207_effX.pdf r1 manage 25.4 K 2018-05-17 - 15:30 MakovecNikola  
Unknown file formateps batch507_deltaT.eps r1 manage 217.2 K 2018-05-17 - 15:30 MakovecNikola  
GIFgif batch507_deltaT.gif r1 manage 38.0 K 2018-05-17 - 15:30 MakovecNikola  
PDFpdf batch507_deltaT.pdf r1 manage 41.3 K 2018-05-17 - 15:30 MakovecNikola  
Unknown file formateps batch507_eff.eps r1 manage 132.9 K 2018-05-17 - 15:30 MakovecNikola  
GIFgif batch507_eff.gif r1 manage 21.0 K 2018-05-17 - 15:30 MakovecNikola  
PDFpdf batch507_eff.pdf r1 manage 35.3 K 2018-05-17 - 15:30 MakovecNikola  
Unknown file formateps batch507_effX.eps r1 manage 26.3 K 2018-05-17 - 15:30 MakovecNikola  
GIFgif batch507_effX.gif r1 manage 22.8 K 2018-05-17 - 15:30 MakovecNikola  
PDFpdf batch507_effX.pdf r1 manage 28.1 K 2018-05-17 - 15:30 MakovecNikola  
Unix shell scriptsh convert.sh r1 manage 0.2 K 2019-07-13 - 13:06 ChristianOhm Script for converting PDF files to PNG with appropriate quality and size
PDFpdf eff_vs_Q.pdf r1 manage 19.2 K 2019-05-09 - 13:42 JoernLange  
PNGpng eff_vs_Q.png r1 manage 85.0 K 2019-05-09 - 13:42 JoernLange  
Unknown file formateps elec_Display_0.eps r1 manage 49.8 K 2016-10-14 - 16:48 MartinAleksa  
GIFgif elec_Display_0.gif r1 manage 11.1 K 2016-10-14 - 16:48 MartinAleksa  
PDFpdf elec_Display_0.pdf r1 manage 24.2 K 2016-10-14 - 16:48 MartinAleksa  
Unknown file formateps elec_Display_200.eps r1 manage 5681.9 K 2016-10-14 - 16:48 MartinAleksa  
GIFgif elec_Display_200.gif r1 manage 33.5 K 2016-10-14 - 16:48 MartinAleksa  
PDFpdf elec_Display_200.pdf r1 manage 1287.7 K 2016-10-14 - 16:48 MartinAleksa  
Unknown file formateps elec_Display_lego200.eps r1 manage 226.8 K 2016-10-14 - 16:48 MartinAleksa  
GIFgif elec_Display_lego200.gif r1 manage 21.7 K 2016-10-14 - 16:48 MartinAleksa  
PDFpdf elec_Display_lego200.pdf r1 manage 59.2 K 2016-10-14 - 16:48 MartinAleksa  
Unknown file formateps elec_Display_lego200_all.eps r1 manage 49160.3 K 2017-07-06 - 11:46 DirkZerwas  
GIFgif elec_Display_lego200_all.gif r1 manage 542.3 K 2017-07-05 - 18:01 DirkZerwas  
PDFpdf elec_Display_lego200_all.pdf r1 manage 568.4 K 2017-07-06 - 11:46 DirkZerwas  
Unknown file formateps elec_Display_lego200_cluster.eps r1 manage 49160.3 K 2017-07-06 - 11:46 DirkZerwas  
GIFgif elec_Display_lego200_cluster.gif r1 manage 235.5 K 2017-07-05 - 18:01 DirkZerwas  
PDFpdf elec_Display_lego200_cluster.pdf r1 manage 250.5 K 2017-07-06 - 11:46 DirkZerwas  
Unknown file formateps elec_Display_lego200_elec.eps r1 manage 49160.3 K 2017-07-06 - 11:46 DirkZerwas  
GIFgif elec_Display_lego200_elec.gif r1 manage 211.6 K 2017-07-05 - 18:01 DirkZerwas  
PDFpdf elec_Display_lego200_elec.pdf r1 manage 224.6 K 2017-07-06 - 11:46 DirkZerwas  
Unknown file formateps elec_Es0.eps r1 manage 8.4 K 2016-10-14 - 17:02 MartinAleksa  
GIFgif elec_Es0.gif r1 manage 8.7 K 2016-10-14 - 17:02 MartinAleksa  
PDFpdf elec_Es0.pdf r1 manage 13.6 K 2016-10-14 - 17:02 MartinAleksa  
Unknown file formateps elec_Es3.eps r1 manage 9.4 K 2016-10-14 - 17:02 MartinAleksa  
GIFgif elec_Es3.gif r1 manage 9.5 K 2016-10-14 - 17:02 MartinAleksa  
PDFpdf elec_Es3.pdf r1 manage 13.9 K 2016-10-14 - 17:02 MartinAleksa  
Unknown file formateps elec_nCells.eps r1 manage 7.4 K 2016-10-14 - 16:54 MartinAleksa  
GIFgif elec_nCells.gif r1 manage 7.0 K 2016-10-14 - 16:54 MartinAleksa  
PDFpdf elec_nCells.pdf r1 manage 13.4 K 2016-10-14 - 16:54 MartinAleksa  
Unknown file formateps elec_showerRadius.eps r1 manage 7.3 K 2016-10-14 - 16:54 MartinAleksa  
GIFgif elec_showerRadius.gif r1 manage 7.2 K 2016-10-14 - 16:54 MartinAleksa  
PDFpdf elec_showerRadius.pdf r1 manage 13.4 K 2016-10-14 - 16:54 MartinAleksa  
Unknown file formateps histogram2D_event15_vtxid0_eta3.8.eps r1 manage 10.7 K 2017-09-29 - 19:27 ArielSchwartzman  
PDFpdf histogram2D_event15_vtxid0_eta3.8.pdf r1 manage 15.0 K 2017-09-29 - 19:27 ArielSchwartzman  
PNGpng histogram2D_event15_vtxid0_eta3.8.png r1 manage 33.8 K 2017-09-29 - 19:27 ArielSchwartzman  
Unknown file formateps histogramT_event15_vtxid0_eta3.8.eps r1 manage 10.6 K 2017-09-29 - 19:28 ArielSchwartzman  
PDFpdf histogramT_event15_vtxid0_eta3.8.pdf r1 manage 15.0 K 2017-09-29 - 19:28 ArielSchwartzman  
PNGpng histogramT_event15_vtxid0_eta3.8.png r1 manage 34.6 K 2017-09-29 - 19:28 ArielSchwartzman  
Unknown file formateps histogramZ_event15_vtxid0_eta3.8.eps r1 manage 11.6 K 2017-09-29 - 19:28 ArielSchwartzman  
PDFpdf histogramZ_event15_vtxid0_eta3.8.pdf r1 manage 15.3 K 2017-09-29 - 19:28 ArielSchwartzman  
PNGpng histogramZ_event15_vtxid0_eta3.8.png r1 manage 32.4 K 2017-09-29 - 19:28 ArielSchwartzman  
Unknown file formateps jetfractioneta2_time30.eps r1 manage 12.6 K 2017-09-29 - 19:27 ArielSchwartzman  
PDFpdf jetfractioneta2_time30.pdf r1 manage 14.5 K 2017-09-29 - 19:27 ArielSchwartzman  
PNGpng jetfractioneta2_time30.png r1 manage 52.0 K 2017-09-29 - 19:27 ArielSchwartzman  
Unknown file formateps jetfractioneta3_time30.eps r1 manage 12.7 K 2017-09-29 - 19:27 ArielSchwartzman  
PDFpdf jetfractioneta3_time30.pdf r1 manage 14.5 K 2017-09-29 - 19:27 ArielSchwartzman  
PNGpng jetfractioneta3_time30.png r1 manage 50.5 K 2017-09-29 - 19:27 ArielSchwartzman  
Unknown file formateps jetfractioneta5.eps r1 manage 13.1 K 2017-09-29 - 19:26 ArielSchwartzman  
PDFpdf jetfractioneta5.pdf r1 manage 14.6 K 2017-09-29 - 19:26 ArielSchwartzman  
PNGpng jetfractioneta5.png r1 manage 41.4 K 2017-09-29 - 19:26 ArielSchwartzman  
Unknown file formateps jetfractioneta5_time30.eps r1 manage 13.3 K 2017-09-29 - 19:25 ArielSchwartzman  
PDFpdf jetfractioneta5_time30.pdf r1 manage 14.7 K 2017-09-29 - 19:25 ArielSchwartzman  
PNGpng jetfractioneta5_time30.png r1 manage 43.7 K 2017-09-29 - 19:25 ArielSchwartzman  
PDFpdf jitter_vs_Qinj.pdf r1 manage 14.1 K 2019-05-27 - 17:34 SabrinaSacerdoti ALTIROC1 jitter vs Qinj
PNGpng jitter_vs_Qinj.png r1 manage 129.9 K 2019-05-27 - 17:42 SabrinaSacerdoti Altiroc1 Jitter vs Qinj
PDFpdf jitter_vs_Qinj_zoom.pdf r1 manage 14.2 K 2019-05-27 - 17:39 SabrinaSacerdoti ALTIROC1 jitter vs Qinj
PDFpdf nHitsVsMuMultiple.pdf r2 r1 manage 28.8 K 2018-02-20 - 11:37 ChristianOhm  
PNGpng nHitsVsMuMultiple.png r2 r1 manage 378.3 K 2018-02-20 - 11:39 ChristianOhm  
Unknown file formateps occupancy_vs_r_41.eps r2 r1 manage 16.5 K 2017-07-04 - 19:19 DirkZerwas  
PDFpdf occupancy_vs_r_41.pdf r2 r1 manage 18.0 K 2017-07-04 - 19:19 DirkZerwas  
PNGpng occupancy_vs_r_41.png r2 r1 manage 39.8 K 2017-07-04 - 19:18 DirkZerwas  
Unknown file formateps occupancy_vs_r_42.eps r1 manage 12.8 K 2016-10-14 - 16:27 MartinAleksa  
PDFpdf occupancy_vs_r_42.pdf r1 manage 15.4 K 2016-10-14 - 16:27 MartinAleksa  
PNGpng occupancy_vs_r_42.png r1 manage 25.1 K 2016-10-14 - 16:27 MartinAleksa  
Unknown file formateps pufraction_2.4_3.8.eps r2 r1 manage 12.4 K 2017-06-19 - 08:47 MartinAleksa  
PDFpdf pufraction_2.4_3.8.pdf r2 r1 manage 52.3 K 2017-06-19 - 08:47 MartinAleksa  
PNGpng pufraction_2.4_3.8.png r2 r1 manage 113.0 K 2017-06-19 - 08:47 MartinAleksa  
Unknown file formateps pulseHeightDen7.eps r1 manage 17.0 K 2018-05-17 - 15:29 MakovecNikola  
GIFgif pulseHeightDen7.gif r1 manage 13.7 K 2018-05-17 - 15:29 MakovecNikola  
PDFpdf pulseHeightDen7.pdf r1 manage 18.9 K 2018-05-17 - 15:29 MakovecNikola  
Unknown file formateps pulseHeightEff7.eps r1 manage 15.6 K 2018-05-17 - 15:29 MakovecNikola  
GIFgif pulseHeightEff7.gif r1 manage 12.2 K 2018-05-17 - 15:29 MakovecNikola  
PDFpdf pulseHeightEff7.pdf r1 manage 19.0 K 2018-05-17 - 15:29 MakovecNikola  
PDFpdf t0calib_fig01.pdf r1 manage 15.8 K 2019-07-11 - 13:59 EmmaElizabethTolley HGTD T0 calibration performance from TDR draft April 2019
PNGpng t0calib_fig01.png r1 manage 208.1 K 2019-07-11 - 13:59 EmmaElizabethTolley HGTD T0 calibration performance from TDR draft April 2019
PDFpdf t0calib_fig02.pdf r1 manage 15.3 K 2019-07-11 - 13:59 EmmaElizabethTolley HGTD T0 calibration performance from TDR draft April 2019
PNGpng t0calib_fig02.png r1 manage 233.7 K 2019-07-11 - 13:59 EmmaElizabethTolley HGTD T0 calibration performance from TDR draft April 2019
PDFpdf t0calib_fig03.pdf r1 manage 15.4 K 2019-07-11 - 13:59 EmmaElizabethTolley HGTD T0 calibration performance from TDR draft April 2019
PNGpng t0calib_fig03.png r1 manage 232.2 K 2019-07-11 - 13:59 EmmaElizabethTolley HGTD T0 calibration performance from TDR draft April 2019
PNGpng tdr_timing_50_30um_CFD50-1.png r1 manage 83.3 K 2019-05-09 - 22:52 SimoneMicheleMazza  
PDFpdf tdr_timing_50_30um_CFD50.pdf r1 manage 19.5 K 2019-05-09 - 22:52 SimoneMicheleMazza  
Unknown file formateps timeResoProbe_vs_Gain_Probe_LandauMpv.eps r1 manage 9.1 K 2016-10-14 - 18:01 MartinAleksa  
PDFpdf timeResoProbe_vs_Gain_Probe_LandauMpv.pdf r1 manage 14.5 K 2016-10-14 - 18:01 MartinAleksa  
PNGpng timeResoProbe_vs_Gain_Probe_LandauMpv.png r1 manage 15.3 K 2016-10-14 - 18:01 MartinAleksa  
Unknown file formateps timeResoProbe_vs_biasVoltage.eps r1 manage 9.6 K 2016-10-14 - 18:01 MartinAleksa  
PDFpdf timeResoProbe_vs_biasVoltage.pdf r1 manage 14.5 K 2016-10-14 - 18:01 MartinAleksa  
PNGpng timeResoProbe_vs_biasVoltage.png r1 manage 16.2 K 2016-10-14 - 18:01 MartinAleksa  
PDFpdf toa_vs_amp_TB_Oct18.pdf r1 manage 23.0 K 2018-11-30 - 13:58 ChristinaAgapopoulou  
PNGpng toa_vs_amp_TB_Oct18.png r1 manage 60.8 K 2018-11-30 - 14:14 ChristinaAgapopoulou  
Unknown file formateps vertex_density_hl.eps r1 manage 11.9 K 2017-07-05 - 17:43 DirkZerwas  
PDFpdf vertex_density_hl.pdf r1 manage 15.0 K 2017-07-05 - 17:43 DirkZerwas  
PNGpng vertex_density_hl.png r1 manage 13.4 K 2017-07-05 - 17:43 DirkZerwas  
Unknown file formateps vertex_density_run2.eps r2 r1 manage 11.4 K 2017-10-25 - 18:13 DirkZerwas  
PDFpdf vertex_density_run2.pdf r2 r1 manage 15.6 K 2017-10-25 - 18:14 DirkZerwas  
PNGpng vertex_density_run2.png r2 r1 manage 12.0 K 2017-10-25 - 18:15 DirkZerwas  
Unknown file formateps xyEffR_W11_HG11_mm.eps r1 manage 176.2 K 2017-01-24 - 18:06 MartinAleksa  
PDFpdf xyEffR_W11_HG11_mm.pdf r1 manage 50.7 K 2017-01-24 - 18:06 MartinAleksa  
PNGpng xyEffR_W11_HG11_mm.png r1 manage 41.7 K 2017-01-24 - 18:06 MartinAleksa  
Unknown file formateps zrho_event15_vtxid0.eps r1 manage 15.9 K 2017-09-29 - 19:28 ArielSchwartzman  
PDFpdf zrho_event15_vtxid0.pdf r1 manage 16.4 K 2017-09-29 - 19:28 ArielSchwartzman  
PNGpng zrho_event15_vtxid0.png r1 manage 93.4 K 2017-09-29 - 19:28 ArielSchwartzman  
Unknown file formateps zrho_jets_event15_sel0.eps r1 manage 14.1 K 2017-09-29 - 20:13 ArielSchwartzman  
PDFpdf zrho_jets_event15_sel0.pdf r1 manage 15.3 K 2017-09-29 - 20:13 ArielSchwartzman  
PNGpng zrho_jets_event15_sel0.png r1 manage 67.6 K 2017-09-29 - 20:13 ArielSchwartzman  
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Topic revision: r53 - 2019-07-13 - ChristianOhm
 
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