# 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.

# 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. pdf, png Material distributions: Material distributions for the HGTD as a function of pseudorapidity , expressed in (a) radiation lengths and (b) nuclear interaction lengths . 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. pdf, png Material distributions: Material distributions for the HGTD as a function of pseudorapidity , expressed in (a) radiation lengths and (b) nuclear interaction lengths . 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. pdf, png Main HGTD design parameters 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. 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. 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. 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. 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. 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. 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.. 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. 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. 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. 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)

# 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. - 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. - pdf

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

# 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

# 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

 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). _ _ eps - pdf Charge Distribution: Charge distribution for a LGAD biased with 150 V. A Landau convoluted by a Gaussian fit is superimposed. _ _ eps - pdf Charge as a Function of Bias Voltage: Most probable value of the charge as a function of the bias voltage for two LGAD sensors. _ _ eps - pdf 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. _ _ eps - pdf 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. _ _ eps - pdf 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. _ _ eps - pdf 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. _ _ eps - pdf 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. _ _ eps - pdf

# 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. 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. 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. eps - pdf HGTD jets: The pile-up jet efficiency versus |eta| for jets with 30 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. eps - pdf 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 ranging between 190 and 210. The pixel size used is 1 mm x 1 mm. eps - pdf HGTD Luminosity : Relative statistical uncertainty as a function of 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. 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. 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. 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. 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. 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. 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. 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. 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. 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.

eps - pdf

## 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. _ _ eps - pdf 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. _ _ eps - pdf

 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. _ _ eps - pdf 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. _ _ eps - pdf 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. _ _ eps - pdf 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. _ _ eps - pdf 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. _ _ eps - pdf 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. _ _ eps - pdf 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. _ _ eps - pdf 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. _ _ eps - pdf 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. _ _ eps - pdf 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. _ _ eps - pdf 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. _ _ 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. _ _ 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. _ _ 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). _ _ 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. _ _ 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. _ _ 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. _ _ 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. _ _ 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. _ _ 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). _ _ 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.

 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. _ _ 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. _ _ 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. _ _ 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. _ _ 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. _ _ 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. _ _ 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. _ _

-- AnaHenriques - 2019-07-10
-- ChristianOhm - 2019-07-13

<!-- Person responsible for the page:
Either leave as is - the creator's name will be inserted;
Or replace the complete REVINFO tag (including percentages symbols) with a name in the form TwikiUsersName -->

Responsible:
Main.MartinAleksa

Subject:
LAr HGTD Public Plots

Topic attachments
I Attachment History Action Size Date Who Comment
png 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
pdf 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
pdf B24_ch3_120_reso.pdf r1 manage 14.8 K 2018-11-30 - 15:29 ChristinaAgapopoulou
png B24_ch3_120_reso.png r1 manage 47.8 K 2018-11-30 - 15:29 ChristinaAgapopoulou
eps Beamspot.eps r1 manage 182.1 K 2017-07-05 - 17:31 DirkZerwas
pdf Beamspot.pdf r1 manage 212.3 K 2017-07-05 - 17:31 DirkZerwas
png Beamspot.png r1 manage 32.7 K 2017-07-05 - 17:31 DirkZerwas
png CC_WF_proposal_3E15-1.png r1 manage 73.3 K 2019-05-09 - 22:46 SimoneMicheleMazza Simulated collected charge for deep B+C
pdf CC_WF_proposal_3E15.pdf r1 manage 16.2 K 2019-05-09 - 22:46 SimoneMicheleMazza Simulated collected charge for deep B+C
png CC_WF_proposal_6E15-1.png r1 manage 62.8 K 2019-05-09 - 22:46 SimoneMicheleMazza Simulated collected charge for deep B+C
pdf CC_WF_proposal_6E15.pdf r1 manage 15.2 K 2019-05-09 - 22:46 SimoneMicheleMazza Simulated collected charge for deep B+C
eps Charge_Probe_LandauMpv_vs_biasVoltage.eps r1 manage 9.9 K 2016-10-14 - 17:57 MartinAleksa
pdf Charge_Probe_LandauMpv_vs_biasVoltage.pdf r1 manage 14.5 K 2016-10-14 - 17:57 MartinAleksa
png Charge_Probe_LandauMpv_vs_biasVoltage.png r1 manage 16.3 K 2016-10-14 - 17:57 MartinAleksa
eps Charge_Trigger_LandauMpv.eps r1 manage 12.5 K 2016-10-14 - 17:52 MartinAleksa
pdf Charge_Trigger_LandauMpv.pdf r1 manage 15.9 K 2016-10-14 - 17:52 MartinAleksa
png Charge_Trigger_LandauMpv.png r1 manage 17.7 K 2016-10-14 - 17:52 MartinAleksa
png Charge_vs_fluence-1.png r1 manage 71.1 K 2019-05-09 - 22:51 SimoneMicheleMazza Collected charge vs fluence
pdf Charge_vs_fluence.pdf r1 manage 15.1 K 2019-05-09 - 22:51 SimoneMicheleMazza Collected charge vs fluence
eps EffPUvsPT_fwdJets_fixedHS.eps r1 manage 11.5 K 2017-10-02 - 18:03 DirkZerwas
pdf EffPUvsPT_fwdJets_fixedHS.pdf r1 manage 14.6 K 2017-10-02 - 18:03 DirkZerwas
png EffPUvsPT_fwdJets_fixedHS.png r1 manage 41.0 K 2017-10-02 - 18:03 DirkZerwas
eps ElectronIsolationZ0only.eps r1 manage 10.8 K 2017-09-27 - 13:52 DirkZerwas
pdf ElectronIsolationZ0only.pdf r1 manage 14.9 K 2017-09-27 - 13:52 DirkZerwas
png ElectronIsolationZ0only.png r1 manage 12.1 K 2017-09-27 - 13:52 DirkZerwas
eps Electrons_nCells.eps r1 manage 79.7 K 2017-07-05 - 18:02 DirkZerwas
pdf Electrons_nCells.pdf r1 manage 34.5 K 2017-07-05 - 18:02 DirkZerwas
png Electrons_nCells.png r1 manage 104.4 K 2017-07-05 - 18:02 DirkZerwas
pdf EventDisplay_CellsXYN_jet.pdf r1 manage 97.8 K 2016-10-14 - 17:20 MartinAleksa
png EventDisplay_CellsXYN_jet.png r1 manage 48.8 K 2016-10-14 - 17:20 MartinAleksa
pdf EventDisplay_CellsXYN_jet_mu0.pdf r1 manage 69.6 K 2016-10-14 - 17:20 MartinAleksa
png EventDisplay_CellsXYN_jet_mu0.png r1 manage 28.1 K 2016-10-14 - 17:20 MartinAleksa
pdf EventDisplay_CellsXYP_jet.pdf r1 manage 114.9 K 2016-10-14 - 17:20 MartinAleksa
png EventDisplay_CellsXYP_jet.png r1 manage 63.0 K 2016-10-14 - 17:20 MartinAleksa
pdf EventDisplay_CellsXYP_jet_mu0.pdf r1 manage 70.3 K 2016-10-14 - 17:20 MartinAleksa
png EventDisplay_CellsXYP_jet_mu0.png r1 manage 28.8 K 2016-10-14 - 17:20 MartinAleksa
pdf EventDisplay_CellsdT_core1_Jet1.pdf r1 manage 15.1 K 2016-10-14 - 17:23 MartinAleksa
png EventDisplay_CellsdT_core1_Jet1.png r1 manage 15.4 K 2016-10-14 - 17:23 MartinAleksa
pdf EventDisplay_CellsdT_core2_Jet1.pdf r1 manage 15.3 K 2016-10-14 - 17:23 MartinAleksa
png EventDisplay_CellsdT_core2_Jet1.png r1 manage 15.7 K 2016-10-14 - 17:23 MartinAleksa
pdf EventDisplay_CellsdT_jet_Jet1.pdf r1 manage 15.4 K 2016-10-14 - 17:23 MartinAleksa
png EventDisplay_CellsdT_jet_Jet1.png r1 manage 16.2 K 2016-10-14 - 17:23 MartinAleksa
png FBK_CC-1.png r1 manage 61.4 K 2019-05-06 - 22:12 SimoneMicheleMazza Collected charge for HGTD TDR studied sensors
pdf FBK_CC.pdf r1 manage 15.0 K 2019-05-06 - 22:12 SimoneMicheleMazza Collected charge for HGTD TDR studied sensors
png FBK_TimeRes-1.png r1 manage 61.3 K 2019-05-09 - 22:39 SimoneMicheleMazza Time resolution for HGTD LGADs
pdf FBK_TimeRes.pdf r1 manage 14.7 K 2019-05-09 - 22:39 SimoneMicheleMazza Time resolution for HGTD LGADs
pdf FBK_TimeRes_lin.pdf r1 manage 15.1 K 2019-05-14 - 01:07 SimoneMicheleMazza Time resolution for HGTD LGADs (linear scale)
png FBK_TimeRes_lin.png r1 manage 1215.0 K 2019-05-14 - 01:07 SimoneMicheleMazza Time resolution for HGTD LGADs (linear scale)
eps Gain_Probe_LandauMpv_vs_biasVoltage.eps r1 manage 10.0 K 2016-10-14 - 17:57 MartinAleksa
pdf Gain_Probe_LandauMpv_vs_biasVoltage.pdf r1 manage 14.6 K 2016-10-14 - 17:57 MartinAleksa
png Gain_Probe_LandauMpv_vs_biasVoltage.png r1 manage 16.1 K 2016-10-14 - 17:57 MartinAleksa
eps HGTD-0v0.eps r1 manage 163.6 K 2016-10-14 - 17:06 MartinAleksa
pdf HGTD-0v0.pdf r1 manage 30.3 K 2016-10-14 - 17:06 MartinAleksa
png HGTD-0v0.png r1 manage 51.2 K 2016-10-14 - 17:06 MartinAleksa
eps HGTD-3v1.eps r1 manage 175.6 K 2016-10-14 - 17:06 MartinAleksa
pdf HGTD-3v1.pdf r1 manage 30.0 K 2016-10-14 - 17:06 MartinAleksa
png HGTD-3v1.png r1 manage 56.6 K 2016-10-14 - 17:06 MartinAleksa
eps HGTD-SiW.eps r1 manage 15.9 K 2016-10-14 - 16:27 MartinAleksa
pdf HGTD-SiW.pdf r1 manage 18.9 K 2016-10-14 - 16:27 MartinAleksa
png HGTD-SiW.png r1 manage 33.5 K 2016-10-14 - 16:27 MartinAleksa
pdf HGTD_radiationlevels.pdf r1 manage 180.1 K 2016-10-17 - 17:10 AnaHenriques HGTD expected radiation levels
eps HGTD_trkIso_vs_density_time30_60_final_eta0_3.6.eps r1 manage 16.0 K 2017-07-03 - 18:32 DirkZerwas
pdf HGTD_trkIso_vs_density_time30_60_final_eta0_3.6.pdf r1 manage 15.4 K 2017-07-03 - 18:32 DirkZerwas
png HGTD_trkIso_vs_density_time30_60_final_eta0_3.6.png r1 manage 42.0 K 2017-07-03 - 18:32 DirkZerwas
eps HGTD_trkIso_vs_density_time30_60_final_eta2.6_3.6.eps r2 r1 manage 15.9 K 2017-06-19 - 08:47 MartinAleksa
pdf HGTD_trkIso_vs_density_time30_60_final_eta2.6_3.6.pdf r1 manage 15.8 K 2017-06-19 - 08:47 MartinAleksa
pdf HGTD_trkIso_vs_density_time30_60_final_eta2.6_3.6.pdf.pdf r1 manage 62.3 K 2017-06-13 - 10:37 MartinAleksa
png HGTD_trkIso_vs_density_time30_60_final_eta2.6_3.6.png r2 r1 manage 64.6 K 2017-06-19 - 08:47 MartinAleksa
eps HGTDasu200x200V1.eps r1 manage 59.8 K 2016-10-14 - 17:06 MartinAleksa
pdf HGTDasu200x200V1.pdf r1 manage 21.5 K 2016-10-14 - 17:06 MartinAleksa
png HGTDasu200x200V1.png r1 manage 24.7 K 2016-10-14 - 17:06 MartinAleksa
eps HGTimingV7.eps r1 manage 100.1 K 2016-10-14 - 17:06 MartinAleksa
pdf HGTimingV7.pdf r1 manage 39.7 K 2016-10-14 - 17:07 MartinAleksa
png HGTimingV7.png r1 manage 343.7 K 2016-10-14 - 17:07 MartinAleksa
jpg HPK_15x15.jpg r1 manage 212.5 K 2019-04-30 - 21:36 SimoneMicheleMazza Microscope photo of an HPK-3.1-50 15x15 array
png HPK_30_CC-1.png r1 manage 69.8 K 2019-05-06 - 22:12 SimoneMicheleMazza Collected charge for HGTD TDR studied sensors
pdf HPK_30_CC.pdf r1 manage 14.8 K 2019-05-06 - 22:12 SimoneMicheleMazza Collected charge for HGTD TDR studied sensors
png HPK_30_TimeRes-1.png r1 manage 67.1 K 2019-05-09 - 22:39 SimoneMicheleMazza Time resolution for HGTD LGADs
pdf HPK_30_TimeRes.pdf r1 manage 14.5 K 2019-05-09 - 22:39 SimoneMicheleMazza Time resolution for HGTD LGADs
pdf HPK_30_TimeRes_lin.pdf r1 manage 14.9 K 2019-05-14 - 01:07 SimoneMicheleMazza Time resolution for HGTD LGADs (linear scale)
png HPK_30_TimeRes_lin.png r1 manage 1215.0 K 2019-05-14 - 01:07 SimoneMicheleMazza Time resolution for HGTD LGADs (linear scale)
png HPK_31_CC-1.png r1 manage 79.0 K 2019-05-06 - 22:12 SimoneMicheleMazza Collected charge for HGTD TDR studied sensors
pdf HPK_31_CC.pdf r1 manage 16.3 K 2019-05-06 - 22:12 SimoneMicheleMazza Collected charge for HGTD TDR studied sensors
png HPK_31_TimeRes-1.png r1 manage 79.3 K 2019-05-09 - 22:39 SimoneMicheleMazza Time resolution for HGTD LGADs
pdf HPK_31_TimeRes.pdf r1 manage 16.1 K 2019-05-09 - 22:39 SimoneMicheleMazza Time resolution for HGTD LGADs
pdf HPK_31_TimeRes_lin.pdf r1 manage 16.4 K 2019-05-14 - 01:07 SimoneMicheleMazza Time resolution for HGTD LGADs (linear scale)
png HPK_31_TimeRes_lin.png r1 manage 1215.0 K 2019-05-14 - 01:07 SimoneMicheleMazza Time resolution for HGTD LGADs (linear scale)
png HPK_32_CC-1.png r1 manage 62.8 K 2019-05-06 - 22:12 SimoneMicheleMazza Collected charge for HGTD TDR studied sensors
pdf HPK_32_CC.pdf r1 manage 15.4 K 2019-05-06 - 22:12 SimoneMicheleMazza Collected charge for HGTD TDR studied sensors
png HPK_32_TimeRes-1.png r1 manage 66.3 K 2019-05-09 - 22:39 SimoneMicheleMazza Time resolution for HGTD LGADs
pdf HPK_32_TimeRes.pdf r1 manage 15.2 K 2019-05-09 - 22:39 SimoneMicheleMazza Time resolution for HGTD LGADs
pdf HPK_32_TimeRes_lin.pdf r1 manage 15.6 K 2019-05-14 - 01:07 SimoneMicheleMazza Time resolution for HGTD LGADs (linear scale)
png HPK_32_TimeRes_lin.png r1 manage 1215.0 K 2019-05-14 - 01:07 SimoneMicheleMazza Time resolution for HGTD LGADs (linear scale)
eps HSeffPU2_highpt_18.eps r2 r1 manage 13.2 K 2017-07-05 - 15:01 DirkZerwas
pdf HSeffPU2_highpt_18.pdf r2 r1 manage 15.5 K 2017-07-05 - 15:01 DirkZerwas
png HSeffPU2_highpt_18.png r2 r1 manage 49.0 K 2017-07-05 - 15:01 DirkZerwas
eps HSeffPU2_lowpt_17.eps r2 r1 manage 13.3 K 2017-07-05 - 15:01 DirkZerwas
pdf HSeffPU2_lowpt_17.pdf r2 r1 manage 15.5 K 2017-07-05 - 15:01 DirkZerwas
png HSeffPU2_lowpt_17.png r2 r1 manage 50.3 K 2017-07-05 - 15:01 DirkZerwas
eps IPZ.eps r1 manage 13.0 K 2017-09-29 - 19:24 ArielSchwartzman
pdf IPZ.pdf r1 manage 19.1 K 2017-09-29 - 19:23 ArielSchwartzman
png IPZ.png r1 manage 35.0 K 2017-09-29 - 19:24 ArielSchwartzman
pdf LumiRelativeStatErrorVsMu.pdf r1 manage 14.7 K 2018-02-20 - 11:46 ChristianOhm
png LumiRelativeStatErrorVsMu.png r1 manage 306.7 K 2018-02-20 - 11:46 ChristianOhm
eps METFraction.eps r1 manage 19.3 K 2017-10-02 - 18:03 DirkZerwas
pdf METFraction.pdf r1 manage 17.7 K 2017-10-02 - 18:03 DirkZerwas
png METFraction.png r1 manage 45.6 K 2017-10-02 - 18:03 DirkZerwas
eps Muons_ESpectrum.eps r1 manage 9.1 K 2016-10-14 - 16:33 MartinAleksa
gif Muons_ESpectrum.gif r1 manage 8.4 K 2016-10-14 - 16:33 MartinAleksa
pdf Muons_ESpectrum.pdf r1 manage 14.3 K 2016-10-14 - 16:33 MartinAleksa
eps Muons_EfctR.eps r1 manage 10.2 K 2016-10-14 - 16:38 MartinAleksa
gif Muons_EfctR.gif r1 manage 8.0 K 2016-10-14 - 16:38 MartinAleksa
pdf Muons_EfctR.pdf r1 manage 14.8 K 2016-10-14 - 16:38 MartinAleksa
eps Muons_effR0.eps r1 manage 10.5 K 2016-10-14 - 16:39 MartinAleksa
gif Muons_effR0.gif r1 manage 9.9 K 2016-10-14 - 16:39 MartinAleksa
pdf Muons_effR0.pdf r1 manage 15.3 K 2016-10-14 - 16:39 MartinAleksa
eps Muons_effR4.eps r1 manage 10.6 K 2016-10-14 - 16:39 MartinAleksa
gif Muons_effR4.gif r1 manage 10.0 K 2016-10-14 - 16:39 MartinAleksa
pdf Muons_effR4.pdf r1 manage 14.7 K 2016-10-14 - 16:39 MartinAleksa
eps Muons_effXY0.eps r1 manage 14.9 K 2016-10-14 - 16:45 MartinAleksa
gif Muons_effXY0.gif r1 manage 14.4 K 2016-10-14 - 16:45 MartinAleksa
pdf Muons_effXY0.pdf r1 manage 15.0 K 2016-10-14 - 16:45 MartinAleksa
eps Muons_effXY4.eps r1 manage 68.4 K 2016-10-14 - 16:45 MartinAleksa
gif Muons_effXY4.gif r1 manage 21.8 K 2016-10-14 - 16:45 MartinAleksa
pdf Muons_effXY4.pdf r1 manage 25.6 K 2016-10-14 - 16:45 MartinAleksa
eps Occupancy_MB_Si_all.eps r1 manage 102.6 K 2017-09-29 - 11:21 DirkZerwas
pdf Occupancy_MB_Si_all.pdf r1 manage 23.4 K 2017-09-29 - 11:21 DirkZerwas
png Occupancy_MB_Si_all.png r1 manage 20.5 K 2017-09-29 - 11:21 DirkZerwas
png PD_voltage-1.png r1 manage 73.4 K 2019-05-09 - 22:51 SimoneMicheleMazza Power dissipation
pdf PD_voltage.pdf r1 manage 15.2 K 2019-05-09 - 22:51 SimoneMicheleMazza Power dissipation
eps PUeffpt3050.eps r1 manage 11.4 K 2017-10-02 - 13:15 DirkZerwas
pdf PUeffpt3050.pdf r1 manage 14.6 K 2017-10-02 - 13:15 DirkZerwas
eps PUeffpt3050.pdf.eps r1 manage 11.4 K 2017-10-02 - 13:13 DirkZerwas
pdf PUeffpt3050.pdf.pdf r1 manage 14.6 K 2017-10-02 - 13:13 DirkZerwas
png PUeffpt3050.pdf.png r1 manage 41.9 K 2017-10-02 - 13:13 DirkZerwas
png PUeffpt3050.png r1 manage 41.9 K 2017-10-02 - 13:15 DirkZerwas
eps Photons_nCellsC0.eps r1 manage 71.6 K 2017-07-05 - 18:03 DirkZerwas
pdf Photons_nCellsC0.pdf r1 manage 31.9 K 2017-07-05 - 18:03 DirkZerwas
png Photons_nCellsC0.png r1 manage 107.3 K 2017-07-05 - 18:03 DirkZerwas
eps Pulse_33_48_3.eps r1 manage 10.9 K 2016-10-14 - 17:52 MartinAleksa
pdf Pulse_33_48_3.pdf r1 manage 16.5 K 2016-10-14 - 17:52 MartinAleksa
png Pulse_33_48_3.png r1 manage 14.9 K 2016-10-14 - 17:52 MartinAleksa
eps Pulse_Nominal.eps r1 manage 88.8 K 2017-07-05 - 17:47 DirkZerwas
pdf Pulse_Nominal.pdf r1 manage 52.8 K 2017-07-05 - 17:47 DirkZerwas
png Pulse_Nominal.png r1 manage 15.8 K 2017-07-05 - 17:47 DirkZerwas
eps RMSMETPU2HGTD.eps r1 manage 10.9 K 2017-10-02 - 18:03 DirkZerwas
pdf RMSMETPU2HGTD.pdf r1 manage 14.1 K 2017-10-02 - 18:03 DirkZerwas
png RMSMETPU2HGTD.png r1 manage 40.9 K 2017-10-02 - 18:03 DirkZerwas
eps ROC24-38_16.eps r1 manage 12.2 K 2017-07-05 - 16:16 DirkZerwas
pdf ROC24-38_16.pdf r1 manage 15.1 K 2017-07-05 - 16:17 DirkZerwas
png ROC24-38_16.png r2 r1 manage 69.0 K 2017-07-05 - 16:16 DirkZerwas
pdf Radiation_IDR_last.pdf r2 r1 manage 215.6 K 2017-02-23 - 10:30 AnaHenriques
eps RiseTime_Probe_GausMean_vs_biasVoltage.eps r1 manage 9.2 K 2016-10-14 - 18:09 MartinAleksa
pdf RiseTime_Probe_GausMean_vs_biasVoltage.pdf r1 manage 14.4 K 2016-10-14 - 18:09 MartinAleksa
png RiseTime_Probe_GausMean_vs_biasVoltage.png r1 manage 16.5 K 2016-10-14 - 18:09 MartinAleksa
eps SOverN_Probe_GausMean_vs_biasVoltage.eps r1 manage 9.2 K 2016-10-14 - 18:01 MartinAleksa
pdf SOverN_Probe_GausMean_vs_biasVoltage.pdf r1 manage 14.3 K 2016-10-14 - 18:01 MartinAleksa
png SOverN_Probe_GausMean_vs_biasVoltage.png r1 manage 15.6 K 2016-10-14 - 18:01 MartinAleksa
eps Si-ItkIncl-Nom-minbiasLowPt-nHitsVsMu-Eta2p8to3p0.eps r1 manage 18.9 K 2017-07-05 - 16:12 DirkZerwas
pdf Si-ItkIncl-Nom-minbiasLowPt-nHitsVsMu-Eta2p8to3p0.pdf r1 manage 21.2 K 2017-07-05 - 16:12 DirkZerwas
png Si-ItkIncl-Nom-minbiasLowPt-nHitsVsMu-Eta2p8to3p0.png r1 manage 42.8 K 2017-07-05 - 16:12 DirkZerwas
eps Si-ItkIncl-Nom-minbiasLowPt-nHitsVsMu-Etafull.eps r1 manage 16.5 K 2017-07-05 - 16:12 DirkZerwas
pdf Si-ItkIncl-Nom-minbiasLowPt-nHitsVsMu-Etafull.pdf r1 manage 20.1 K 2017-07-05 - 16:12 DirkZerwas
png Si-ItkIncl-Nom-minbiasLowPt-nHitsVsMu-Etafull.png r1 manage 40.9 K 2017-07-05 - 16:12 DirkZerwas
pdf Sim_July2019_1_ModuleOverlaps.pdf r1 manage 30.3 K 2019-07-13 - 10:32 ChristianOhm Simulation performance plots July 2019, batch 1
png Sim_July2019_1_ModuleOverlaps.png r1 manage 35.5 K 2019-07-13 - 10:32 ChristianOhm Simulation performance plots July 2019, batch 1
pdf Sim_July2019_2a_x0.pdf r1 manage 99.9 K 2019-07-13 - 10:32 ChristianOhm Simulation performance plots July 2019, batch 1
png Sim_July2019_2a_x0.png r1 manage 186.1 K 2019-07-13 - 10:32 ChristianOhm Simulation performance plots July 2019, batch 1
pdf Sim_July2019_2b_lambda.pdf r1 manage 144.7 K 2019-07-13 - 10:32 ChristianOhm Simulation performance plots July 2019, batch 1
png Sim_July2019_2b_lambda.png r1 manage 166.3 K 2019-07-13 - 10:32 ChristianOhm Simulation performance plots July 2019, batch 1
pdf Sim_July2019_3_MainParameters.pdf r1 manage 91.4 K 2019-07-13 - 10:32 ChristianOhm Simulation performance plots July 2019, batch 1
png Sim_July2019_3_MainParameters.png r1 manage 43.7 K 2019-07-13 - 10:32 ChristianOhm Simulation performance plots July 2019, batch 1
png Sim_July2019_4_EventDisplay.png r1 manage 289.8 K 2019-07-13 - 10:32 ChristianOhm Simulation performance plots July 2019, batch 1
pdf Sim_July2019_5a_ModulePlacementQuadrant.pdf r2 r1 manage 239.3 K 2019-07-13 - 11:22 ChristianOhm Simulation performance plots July 2019, batch 2
png Sim_July2019_5a_ModulePlacementQuadrant.png r2 r1 manage 743.0 K 2019-07-13 - 11:22 ChristianOhm Simulation performance plots July 2019, batch 2
pdf Sim_July2019_5b_ModulePlacementFullDisk.pdf r2 r1 manage 551.6 K 2020-01-10 - 13:34 ChristianOhm Simulation performance plots July 2019, batch 2
png Sim_July2019_5b_ModulePlacementFullDisk.png r2 r1 manage 1124.8 K 2019-07-13 - 11:21 ChristianOhm Simulation performance plots July 2019, batch 2
pdf Sim_July2019_6a_HitTimingResolution.pdf r1 manage 23.1 K 2019-07-13 - 10:35 ChristianOhm Simulation performance plots July 2019, batch 2
png Sim_July2019_6a_HitTimingResolution.png r1 manage 189.9 K 2019-07-13 - 10:35 ChristianOhm Simulation performance plots July 2019, batch 2
pdf Sim_July2019_6b_TrackTimingResolution.pdf r1 manage 23.3 K 2019-07-13 - 10:35 ChristianOhm Simulation performance plots July 2019, batch 2
png Sim_July2019_6b_TrackTimingResolution.png r1 manage 201.3 K 2019-07-13 - 10:35 ChristianOhm Simulation performance plots July 2019, batch 2
pdf Sim_July2019_7_OccupancyITkStep3p0.pdf r1 manage 127.2 K 2019-07-13 - 10:35 ChristianOhm Simulation performance plots July 2019, batch 2
png Sim_July2019_7_OccupancyITkStep3p0.png r1 manage 49.8 K 2019-07-13 - 10:35 ChristianOhm Simulation performance plots July 2019, batch 2
png Sim_July2019_8_nHits_xy.png r1 manage 361.4 K 2019-07-13 - 10:36 ChristianOhm Simulation performance plots July 2019, batch 3
pdf TB_Oct18_toaDistr_tw.pdf r1 manage 16.2 K 2018-11-30 - 13:58 ChristinaAgapopoulou
png TB_Oct18_toaDistr_tw.png r1 manage 39.3 K 2018-11-30 - 14:14 ChristinaAgapopoulou
png TCT_distances-1.png r1 manage 83.6 K 2019-05-09 - 22:52 SimoneMicheleMazza IP distances with TCT
pdf TCT_distances.pdf r1 manage 18.5 K 2019-05-09 - 22:52 SimoneMicheleMazza IP distances with TCT
eps TOA.eps r1 manage 10.5 K 2017-07-05 - 17:43 DirkZerwas
pdf TOA.pdf r1 manage 15.2 K 2017-07-05 - 17:43 DirkZerwas
png TOA.png r1 manage 15.2 K 2017-07-05 - 17:43 DirkZerwas
eps TrackMatchEff_pt.eps r1 manage 10.9 K 2017-07-04 - 19:36 DirkZerwas
pdf TrackMatchEff_pt.pdf r1 manage 14.9 K 2017-07-04 - 19:37 DirkZerwas
png TrackMatchEff_pt.png r1 manage 19.3 K 2017-07-04 - 19:37 DirkZerwas
eps TrackTimeMatchEff_EffvsPt.eps r1 manage 10.9 K 2017-07-04 - 19:36 DirkZerwas
pdf TrackTimeMatchEff_EffvsPt.pdf r1 manage 15.0 K 2017-07-04 - 19:36 DirkZerwas
png TrackTimeMatchEff_EffvsPt.png r1 manage 20.0 K 2017-07-04 - 19:36 DirkZerwas
eps TrackdTPublicPlot_1mm.eps r1 manage 14.8 K 2017-07-04 - 19:36 DirkZerwas
pdf TrackdTPublicPlot_1mm.pdf r1 manage 19.0 K 2017-07-04 - 19:36 DirkZerwas
png TrackdTPublicPlot_1mm.png r1 manage 23.9 K 2017-07-05 - 07:49 DirkZerwas
eps TrackdTPublicPlot_3mm.eps r1 manage 15.0 K 2017-07-05 - 07:49 DirkZerwas
pdf TrackdTPublicPlot_3mm.pdf r1 manage 19.3 K 2017-07-05 - 07:48 DirkZerwas
png TrackdTPublicPlot_3mm.png r1 manage 25.8 K 2017-07-05 - 07:48 DirkZerwas
eps TrackdXPublicPlot_1mm.eps r2 r1 manage 13.2 K 2017-07-05 - 07:58 DirkZerwas
pdf TrackdXPublicPlot_1mm.pdf r2 r1 manage 20.0 K 2017-07-05 - 07:58 DirkZerwas
png TrackdXPublicPlot_1mm.png r2 r1 manage 19.4 K 2017-07-05 - 07:58 DirkZerwas
eps TrackdXPublicPlot_3mm.eps r2 r1 manage 14.2 K 2017-07-05 - 07:57 DirkZerwas
pdf TrackdXPublicPlot_3mm.pdf r2 r1 manage 20.3 K 2017-07-05 - 07:57 DirkZerwas
png TrackdXPublicPlot_3mm.png r2 r1 manage 21.1 K 2017-07-05 - 07:57 DirkZerwas
eps Treco.eps r1 manage 11.9 K 2017-07-05 - 17:47 DirkZerwas
pdf Treco.pdf r1 manage 16.6 K 2017-07-05 - 17:47 DirkZerwas
png Treco.png r1 manage 14.3 K 2017-07-05 - 17:47 DirkZerwas
eps Truth_Vertex.eps r2 r1 manage 15.9 K 2017-09-21 - 09:30 DirkZerwas
pdf Truth_Vertex.pdf r2 r1 manage 20.7 K 2017-09-21 - 09:31 DirkZerwas
png Truth_Vertex.png r2 r1 manage 28.1 K 2017-09-21 - 10:09 DirkZerwas
eps Truth_Vertex_zoom.eps r2 r1 manage 12.1 K 2017-09-21 - 09:32 DirkZerwas
pdf Truth_Vertex_zoom.pdf r2 r1 manage 15.4 K 2017-09-21 - 09:33 DirkZerwas
png Truth_Vertex_zoom.png r2 r1 manage 19.1 K 2017-09-21 - 09:34 DirkZerwas
pdf VBD2Dmap15x15ArrayType3p1.pdf r1 manage 15.1 K 2019-05-02 - 11:15 JoernLange VBD map of HPK-3.1-50 15x15 array
png VBD2Dmap15x15ArrayType3p1.png r1 manage 15.4 K 2019-05-02 - 11:34 JoernLange VBD map of HPK-3.1-50 15x15 array
eps W11_HG11_effR_vs_y.eps r1 manage 21.4 K 2017-01-24 - 18:06 MartinAleksa
pdf W11_HG11_effR_vs_y.pdf r1 manage 17.8 K 2017-01-24 - 18:06 MartinAleksa
png W11_HG11_effR_vs_y.png r1 manage 32.6 K 2017-01-24 - 18:06 MartinAleksa
eps bVSlight__MV1.eps r1 manage 32.8 K 2017-09-29 - 13:06 DirkZerwas
pdf bVSlight__MV1.pdf r1 manage 43.2 K 2017-09-29 - 13:06 DirkZerwas
png bVSlight__MV1.png r1 manage 26.4 K 2017-09-29 - 13:06 DirkZerwas
eps batch207_deltaT.eps r1 manage 183.9 K 2018-05-17 - 15:30 MakovecNikola
gif batch207_deltaT.gif r1 manage 31.8 K 2018-05-17 - 15:30 MakovecNikola
pdf batch207_deltaT.pdf r1 manage 38.2 K 2018-05-17 - 15:30 MakovecNikola
eps batch207_eff.eps r1 manage 176.6 K 2018-05-17 - 15:30 MakovecNikola
gif batch207_eff.gif r1 manage 23.9 K 2018-05-17 - 15:30 MakovecNikola
pdf batch207_eff.pdf r1 manage 42.1 K 2018-05-17 - 15:30 MakovecNikola
eps batch207_effX.eps r1 manage 23.9 K 2018-05-17 - 15:30 MakovecNikola
gif batch207_effX.gif r1 manage 20.3 K 2018-05-17 - 15:30 MakovecNikola
pdf batch207_effX.pdf r1 manage 25.4 K 2018-05-17 - 15:30 MakovecNikola
eps batch507_deltaT.eps r1 manage 217.2 K 2018-05-17 - 15:30 MakovecNikola
gif batch507_deltaT.gif r1 manage 38.0 K 2018-05-17 - 15:30 MakovecNikola
pdf batch507_deltaT.pdf r1 manage 41.3 K 2018-05-17 - 15:30 MakovecNikola
eps batch507_eff.eps r1 manage 132.9 K 2018-05-17 - 15:30 MakovecNikola
gif batch507_eff.gif r1 manage 21.0 K 2018-05-17 - 15:30 MakovecNikola
pdf batch507_eff.pdf r1 manage 35.3 K 2018-05-17 - 15:30 MakovecNikola
eps batch507_effX.eps r1 manage 26.3 K 2018-05-17 - 15:30 MakovecNikola
gif batch507_effX.gif r1 manage 22.8 K 2018-05-17 - 15:30 MakovecNikola
pdf batch507_effX.pdf r1 manage 28.1 K 2018-05-17 - 15:30 MakovecNikola
sh 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
pdf eff_vs_Q.pdf r1 manage 19.2 K 2019-05-09 - 13:42 JoernLange
png eff_vs_Q.png r1 manage 85.0 K 2019-05-09 - 13:42 JoernLange
eps elec_Display_0.eps r1 manage 49.8 K 2016-10-14 - 16:48 MartinAleksa
gif elec_Display_0.gif r1 manage 11.1 K 2016-10-14 - 16:48 MartinAleksa
pdf elec_Display_0.pdf r1 manage 24.2 K 2016-10-14 - 16:48 MartinAleksa
eps elec_Display_200.eps r1 manage 5681.9 K 2016-10-14 - 16:48 MartinAleksa
gif elec_Display_200.gif r1 manage 33.5 K 2016-10-14 - 16:48 MartinAleksa
pdf elec_Display_200.pdf r1 manage 1287.7 K 2016-10-14 - 16:48 MartinAleksa
eps elec_Display_lego200.eps r1 manage 226.8 K 2016-10-14 - 16:48 MartinAleksa
gif elec_Display_lego200.gif r1 manage 21.7 K 2016-10-14 - 16:48 MartinAleksa
pdf elec_Display_lego200.pdf r1 manage 59.2 K 2016-10-14 - 16:48 MartinAleksa
eps elec_Display_lego200_all.eps r1 manage 49160.3 K 2017-07-06 - 11:46 DirkZerwas
gif elec_Display_lego200_all.gif r1 manage 542.3 K 2017-07-05 - 18:01 DirkZerwas
pdf elec_Display_lego200_all.pdf r1 manage 568.4 K 2017-07-06 - 11:46 DirkZerwas
eps elec_Display_lego200_cluster.eps r1 manage 49160.3 K 2017-07-06 - 11:46 DirkZerwas
gif elec_Display_lego200_cluster.gif r1 manage 235.5 K 2017-07-05 - 18:01 DirkZerwas
pdf elec_Display_lego200_cluster.pdf r1 manage 250.5 K 2017-07-06 - 11:46 DirkZerwas
eps elec_Display_lego200_elec.eps r1 manage 49160.3 K 2017-07-06 - 11:46 DirkZerwas
gif elec_Display_lego200_elec.gif r1 manage 211.6 K 2017-07-05 - 18:01 DirkZerwas
pdf elec_Display_lego200_elec.pdf r1 manage 224.6 K 2017-07-06 - 11:46 DirkZerwas
eps elec_Es0.eps r1 manage 8.4 K 2016-10-14 - 17:02 MartinAleksa
gif elec_Es0.gif r1 manage 8.7 K 2016-10-14 - 17:02 MartinAleksa
pdf elec_Es0.pdf r1 manage 13.6 K 2016-10-14 - 17:02 MartinAleksa
eps elec_Es3.eps r1 manage 9.4 K 2016-10-14 - 17:02 MartinAleksa
gif elec_Es3.gif r1 manage 9.5 K 2016-10-14 - 17:02 MartinAleksa
pdf elec_Es3.pdf r1 manage 13.9 K 2016-10-14 - 17:02 MartinAleksa
eps elec_nCells.eps r1 manage 7.4 K 2016-10-14 - 16:54 MartinAleksa
gif elec_nCells.gif r1 manage 7.0 K 2016-10-14 - 16:54 MartinAleksa
pdf elec_nCells.pdf r1 manage 13.4 K 2016-10-14 - 16:54 MartinAleksa
eps elec_showerRadius.eps r1 manage 7.3 K 2016-10-14 - 16:54 MartinAleksa
gif elec_showerRadius.gif r1 manage 7.2 K 2016-10-14 - 16:54 MartinAleksa
pdf elec_showerRadius.pdf r1 manage 13.4 K 2016-10-14 - 16:54 MartinAleksa
eps histogram2D_event15_vtxid0_eta3.8.eps r1 manage 10.7 K 2017-09-29 - 19:27 ArielSchwartzman
pdf histogram2D_event15_vtxid0_eta3.8.pdf r1 manage 15.0 K 2017-09-29 - 19:27 ArielSchwartzman
png histogram2D_event15_vtxid0_eta3.8.png r1 manage 33.8 K 2017-09-29 - 19:27 ArielSchwartzman
eps histogramT_event15_vtxid0_eta3.8.eps r1 manage 10.6 K 2017-09-29 - 19:28 ArielSchwartzman
pdf histogramT_event15_vtxid0_eta3.8.pdf r1 manage 15.0 K 2017-09-29 - 19:28 ArielSchwartzman
png histogramT_event15_vtxid0_eta3.8.png r1 manage 34.6 K 2017-09-29 - 19:28 ArielSchwartzman
eps histogramZ_event15_vtxid0_eta3.8.eps r1 manage 11.6 K 2017-09-29 - 19:28 ArielSchwartzman
pdf histogramZ_event15_vtxid0_eta3.8.pdf r1 manage 15.3 K 2017-09-29 - 19:28 ArielSchwartzman
png histogramZ_event15_vtxid0_eta3.8.png r1 manage 32.4 K 2017-09-29 - 19:28 ArielSchwartzman
eps jetfractioneta2_time30.eps r1 manage 12.6 K 2017-09-29 - 19:27 ArielSchwartzman
pdf jetfractioneta2_time30.pdf r1 manage 14.5 K 2017-09-29 - 19:27 ArielSchwartzman
png jetfractioneta2_time30.png r1 manage 52.0 K 2017-09-29 - 19:27 ArielSchwartzman
eps jetfractioneta3_time30.eps r1 manage 12.7 K 2017-09-29 - 19:27 ArielSchwartzman
pdf jetfractioneta3_time30.pdf r1 manage 14.5 K 2017-09-29 - 19:27 ArielSchwartzman
png jetfractioneta3_time30.png r1 manage 50.5 K 2017-09-29 - 19:27 ArielSchwartzman
eps jetfractioneta5.eps r1 manage 13.1 K 2017-09-29 - 19:26 ArielSchwartzman
pdf jetfractioneta5.pdf r1 manage 14.6 K 2017-09-29 - 19:26 ArielSchwartzman
png jetfractioneta5.png r1 manage 41.4 K 2017-09-29 - 19:26 ArielSchwartzman
eps jetfractioneta5_time30.eps r1 manage 13.3 K 2017-09-29 - 19:25 ArielSchwartzman
pdf jetfractioneta5_time30.pdf r1 manage 14.7 K 2017-09-29 - 19:25 ArielSchwartzman
png jetfractioneta5_time30.png r1 manage 43.7 K 2017-09-29 - 19:25 ArielSchwartzman
pdf jitter_vs_Qinj.pdf r1 manage 14.1 K 2019-05-27 - 17:34 SabrinaSacerdoti ALTIROC1 jitter vs Qinj
png jitter_vs_Qinj.png r1 manage 129.9 K 2019-05-27 - 17:42 SabrinaSacerdoti Altiroc1 Jitter vs Qinj
pdf jitter_vs_Qinj_zoom.pdf r1 manage 14.2 K 2019-05-27 - 17:39 SabrinaSacerdoti ALTIROC1 jitter vs Qinj
pdf nHitsVsMuMultiple.pdf r2 r1 manage 28.8 K 2018-02-20 - 11:37 ChristianOhm
png nHitsVsMuMultiple.png r2 r1 manage 378.3 K 2018-02-20 - 11:39 ChristianOhm
eps occupancy_vs_r_41.eps r2 r1 manage 16.5 K 2017-07-04 - 19:19 DirkZerwas
pdf occupancy_vs_r_41.pdf r2 r1 manage 18.0 K 2017-07-04 - 19:19 DirkZerwas
png occupancy_vs_r_41.png r2 r1 manage 39.8 K 2017-07-04 - 19:18 DirkZerwas
eps occupancy_vs_r_42.eps r1 manage 12.8 K 2016-10-14 - 16:27 MartinAleksa
pdf occupancy_vs_r_42.pdf r1 manage 15.4 K 2016-10-14 - 16:27 MartinAleksa
png occupancy_vs_r_42.png r1 manage 25.1 K 2016-10-14 - 16:27 MartinAleksa
eps pufraction_2.4_3.8.eps r2 r1 manage 12.4 K 2017-06-19 - 08:47 MartinAleksa
pdf pufraction_2.4_3.8.pdf r2 r1 manage 52.3 K 2017-06-19 - 08:47 MartinAleksa
png pufraction_2.4_3.8.png r2 r1 manage 113.0 K 2017-06-19 - 08:47 MartinAleksa
eps pulseHeightDen7.eps r1 manage 17.0 K 2018-05-17 - 15:29 MakovecNikola
gif pulseHeightDen7.gif r1 manage 13.7 K 2018-05-17 - 15:29 MakovecNikola
pdf pulseHeightDen7.pdf r1 manage 18.9 K 2018-05-17 - 15:29 MakovecNikola
eps pulseHeightEff7.eps r1 manage 15.6 K 2018-05-17 - 15:29 MakovecNikola
gif pulseHeightEff7.gif r1 manage 12.2 K 2018-05-17 - 15:29 MakovecNikola
pdf pulseHeightEff7.pdf r1 manage 19.0 K 2018-05-17 - 15:29 MakovecNikola
pdf t0calib_fig01.pdf r1 manage 15.8 K 2019-07-11 - 13:59 EmmaElizabethTolley HGTD T0 calibration performance from TDR draft April 2019
png t0calib_fig01.png r1 manage 208.1 K 2019-07-11 - 13:59 EmmaElizabethTolley HGTD T0 calibration performance from TDR draft April 2019
pdf t0calib_fig02.pdf r1 manage 15.3 K 2019-07-11 - 13:59 EmmaElizabethTolley HGTD T0 calibration performance from TDR draft April 2019
png t0calib_fig02.png r1 manage 233.7 K 2019-07-11 - 13:59 EmmaElizabethTolley HGTD T0 calibration performance from TDR draft April 2019
pdf t0calib_fig03.pdf r1 manage 15.4 K 2019-07-11 - 13:59 EmmaElizabethTolley HGTD T0 calibration performance from TDR draft April 2019
png t0calib_fig03.png r1 manage 232.2 K 2019-07-11 - 13:59 EmmaElizabethTolley HGTD T0 calibration performance from TDR draft April 2019
png tdr_timing_50_30um_CFD50-1.png r1 manage 83.3 K 2019-05-09 - 22:52 SimoneMicheleMazza
pdf tdr_timing_50_30um_CFD50.pdf r1 manage 19.5 K 2019-05-09 - 22:52 SimoneMicheleMazza
eps timeResoProbe_vs_Gain_Probe_LandauMpv.eps r1 manage 9.1 K 2016-10-14 - 18:01 MartinAleksa
pdf timeResoProbe_vs_Gain_Probe_LandauMpv.pdf r1 manage 14.5 K 2016-10-14 - 18:01 MartinAleksa
png timeResoProbe_vs_Gain_Probe_LandauMpv.png r1 manage 15.3 K 2016-10-14 - 18:01 MartinAleksa
eps timeResoProbe_vs_biasVoltage.eps r1 manage 9.6 K 2016-10-14 - 18:01 MartinAleksa
pdf timeResoProbe_vs_biasVoltage.pdf r1 manage 14.5 K 2016-10-14 - 18:01 MartinAleksa
png timeResoProbe_vs_biasVoltage.png r1 manage 16.2 K 2016-10-14 - 18:01 MartinAleksa
pdf toa_vs_amp_TB_Oct18.pdf r1 manage 23.0 K 2018-11-30 - 13:58 ChristinaAgapopoulou
png toa_vs_amp_TB_Oct18.png r1 manage 60.8 K 2018-11-30 - 14:14 ChristinaAgapopoulou
eps vertex_density_hl.eps r1 manage 11.9 K 2017-07-05 - 17:43 DirkZerwas
pdf vertex_density_hl.pdf r1 manage 15.0 K 2017-07-05 - 17:43 DirkZerwas
png vertex_density_hl.png r1 manage 13.4 K 2017-07-05 - 17:43 DirkZerwas
eps vertex_density_run2.eps r2 r1 manage 11.4 K 2017-10-25 - 18:13 DirkZerwas
pdf vertex_density_run2.pdf r2 r1 manage 15.6 K 2017-10-25 - 18:14 DirkZerwas
png vertex_density_run2.png r2 r1 manage 12.0 K 2017-10-25 - 18:15 DirkZerwas
eps xyEffR_W11_HG11_mm.eps r1 manage 176.2 K 2017-01-24 - 18:06 MartinAleksa
pdf xyEffR_W11_HG11_mm.pdf r1 manage 50.7 K 2017-01-24 - 18:06 MartinAleksa
png xyEffR_W11_HG11_mm.png r1 manage 41.7 K 2017-01-24 - 18:06 MartinAleksa
eps zrho_event15_vtxid0.eps r1 manage 15.9 K 2017-09-29 - 19:28 ArielSchwartzman
pdf zrho_event15_vtxid0.pdf r1 manage 16.4 K 2017-09-29 - 19:28 ArielSchwartzman
png zrho_event15_vtxid0.png r1 manage 93.4 K 2017-09-29 - 19:28 ArielSchwartzman
eps zrho_jets_event15_sel0.eps r1 manage 14.1 K 2017-09-29 - 20:13 ArielSchwartzman
pdf zrho_jets_event15_sel0.pdf r1 manage 15.3 K 2017-09-29 - 20:13 ArielSchwartzman
png zrho_jets_event15_sel0.png r1 manage 67.6 K 2017-09-29 - 20:13 ArielSchwartzman
Topic revision: r54 - 2020-01-10 - ChristianOhm

 Account
 Cern Search TWiki Search Google Search Atlas All webs
Copyright &© 2008-2020 by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding TWiki? Send feedback