AtlasPublicTopicHeader.png

NSWPublicResults

Introduction

The plots shown below have been approved by the NSW Project and may be shown by ATLAS speakers at conferences. Do not add plots on your own but contact the NSW project leader to arrange a plot approval.

Plot Approval Procedure

Plots and data concerning NSW detector performance, including test beam and/or module-0 results, can only be shown publicly if approved. Plots/results are approved by the NSW project leader after a discussion in the NSW Steering Group. Before requesting the approval of a plot, it should be presented, discussed and agreed on in the appropriate community, eg using the MicroMegas or sTGC Weekly meetings.

The official plot approval procedure is in place since October 2014, it was defined together with and endorsed by the Muon IB in its session on October 16 2014.

Technical Design Report

Here is the Technical Design Report from 2013. The link also provides access to the individual figures of the TDR.

Conference Contributions

Here is a list of Muon System talks given at conferences.

Here is a list of NSW, sTGC and MM talks given at conferences.

MicroMegas Results and Plots

MM Chamber Construction

Public Talks at conferences

Public Plots

MM Performance

Public Talks at conferences

Public Plots

In the following, performance studies of Micromegas detectors performed with test-beams on several small (10x10 cm2) / medium(1x0.5 m2) size resistive chambers will be reported.
In particular the chambers that will be referred to are:
  • Tmm type bulk resistive MM(Tmm2,..., 6) with 10 cm x10 cm active area, with strips 150 μm wide and with a pitch of 250 μm. The resistive strips follow the readout strips geometry with resistivity 40 MOhm/cm. The woven stainless steel mesh structure has a wire diameter of 18 μm and is segmented in 400 lines/inch corresponding to a mesh pitch of &approx 63.5 μm. The support pillars have a diameter of 300 μm with a pitch of 2.5 mm.
  • Tmb similar to Tmm type. The support pillars have a diameter of 500 μm with a pitch of 5 mm.
  • T type bulk resistive MM (T1,..., T8) with 10 cm x 10 cm active area, readout strips 300 μm wide with 400 μm pitch. The resistive strips follow the readout strips geometry with resistivity 20 MOhm/cm. The woven stainless steel mesh structure has a wire diameter of 18 μm and is segmented in 400 lines/inch corresponding to a mesh pitch of 63.5μm. The drift electrode had also a mesh structure with a density of 325 lines/inch (wires of 30 μm diameter with a pitch of 80 μm).
  • TQF chamber similar to T type but with four areas of different resistive strip pattern with respect to the readout strips (normal, half pitch offset, -1 degree and +2 degrees rotation). The resistivity is a bit lower than the T 10 MOhm/cm
  • MMSW (MM for the Small Wheel): the first 4-layers prototype, 1 m x 0.5 m, in a configuration similar to that of the MM for the NSW. It has two planes with parallel strips (precision) and two planes with (stereo) strips rotated by (+/-) 1.5 degrees with respect to the precision ones for second coordinate measurement. The strip pitch is 415 μm and it has a "floating mesh" as opposed to the bulk technique. The mesh structure has a wire diameter of 30 μm and a pitch of 80 μm. The resistivity used in the resistive strips is 10 MOhm/cm.

All chambers have a 5 mm drift gap and a 128 μm amplification gap. When not explicitly specified the chambers were operated with a gas mixture of Ar+7%CO2, a drift electrical field of 600 V/cm and an amplification HV in the range 540-580 V corresponding to a gain roughly 10000. The chambers are always readout with APV25 chips connected to the SRS system.

H6_hd.jpg

Fig. 1: Integrated charge for one APV channel for a single event
Typical integrated charge from one MicroMegas strip readout with the APV25 hybrid cards (through the Scalable Readout System) operated at 40 MHz with 27 samples. A fit with a Fermi-Dirac function with an additional baseline is performed to determine the strip-hit time, which is defined as the inflection point of the fitted function. Strip-hit charge is measured in the anlayses from the maximum of this distribution or from the plateau of the FD function, in both cases subtracting the fitted baseline.

pdf1
pdf2

apv.png apv_function.png

Fig. 2: Event display (μTPC and Centroid)
Display of an event acquired with chamber T4 on particles with a 30 degrees inclination during a test beam at H4. (Bottom) charge read by each of the strips. (Top) reconstructed centroid and μTPC track.

pdf

display3.png

Fig. 3: Efficiency map
2D hit reconstruction in a Tmm chamber during a high statistics run. For this study the chamber was kept perpendicular to the beam axis. The hit position in both X and Y readouts is calculated using the centroid method and only events with a single cluster per readout (perpendicular tracks) are used. The inefficient spots appearing every 2.5 mm, corresponding to the pillar structure supporting the mesh of the chamber, are visible. Four different representations of the same plot are shown.
The measurements were performed with a Tmm type MM bulk resistive chamber operated with an amplification voltage of HVamp = 540 V. The data were acquired during PS/T9 with a 10 GeV/c π+/p beam.

pdf1
pdf2

tmm2_pillars_colz3.png tmm2_pillars_colz.png

Fig. 4: Efficiency map
Hit reconstruction efficiency as a function of the extrapolated reference track hit position for a 2D readout chamber of Tmm type. The reference track is reconstructed from 3 Tmm chambers and is then extrapolated to the fourth Tmm under study. Left column corresponds to X and right column corresponds to Y.

The first row shows the efficiency for an irradiated area 20 mm wide. The efficiency dips 15% appearing every 2.5 mm correspond to the pillar structure supporting the mesh. The second row focuses only on selected areas on the Y readout of the chamber which are around the pillar region (bands 500μm). The effect of the pillars is more severe in these regions reaching local efficiency dips of the order of 40%. By scanning only the region in between the pillars the efficiency is uniform along the readout channels and a high efficiency is measured for both layers (above 98%). The Y readout shows higher efficiency owing to the fact that it is right below the resistive strips and thus it accumulates more charge than the X layer.

The measurements were performed with a Tmm type MM bulk resistive chamber operated with an amplification voltage of HVamp = 540 V. The data were acquired during PS/T9 with a 10 GeV/c π+/p beam.

pdf

efficiency_tmm_pillarregions_centroid_perpendiculartracks.png

Fig. 5: Efficiency map

Hit reconstruction efficiency as a function of the extrapolated reference track hit for 2 small T type bulk resistive MM chambers namely TQF, T2. The reference track is reconstructed from 4 Tmm chambers and is then extrapolated to the chamber under study. The two plots on the left correspond to data acquried with the chambers perpendicular to the beam axis while for the two right plots the chambers were inclined by 30 degrees. In both cases the centroid method is used for the reconstruction of the hits. The efficiency dips (5%) appearing every 5 and 2.5 mm respectively correspond to the pillar structure supporting the mesh. The pitch between the pillars and their size are different for the two chambers under study as it is evident from the plots. The TQF chamber has 500 μm wide pillars with a pitch of 5 mm while the T2 pillars are $300μm wide with a pitch of 2.5 mm. In the case of the inclined chambers the particles traverse the chambers under an angle inducing signal in larger number of strips compared to the 0 degrees case. In this case the efficiency is expected to be unaffected by the pillars as it is shown on the two plots corresponding to the 30 degrees case (above 99%).

The measurements were performed with T type MM bulk resistive chambers operated with an amplification voltage HVamp = 540 V. The data were acquired during PS/T10 with a 6 GeV/c π+/p$ beam.

pdf1
pdf2

efficiency_tqf_t2_centroid_perpendiculartracks_angletext.png
efficiency_tqf_t2_centroid_30degtracks_angletext.png

Fig. 6: Effect of the pillars on the hit reconstruction
Apart from the efficiency the pillar structure affects also the hit reconstruction intriducing a bias in the hits reconstructed in their region. This effect (bias) is studied using a set of three Tmm chambers to reconstruct a reference track which is then extrapolated to a fourth Tmm chamber. Chambers are kept perpendicular to the beam and the hit in each chamber is reconstructed using the centroid method. In the top plot, the residuals between the hit reconstructed in the chamber under study and the reference tracks are plotted versus the reconstructed hit position. In the bottom plot the reconstructed 2-D hit position in the same chamber is plotted. The position of the pillars is clearly visible in the bottom plot and the observed bias in the reconstructed hit position can be associasated with the position of the pillars comapring the two plots. The bias is evident in each pillar region with a maximum value 150μm.

The measurements were performed with Tmm type MM bulk resistive chambers operated with an amplification voltage HVamp = 540 V. The data were acquired during PS/T9 with a 6 GeV/c π+/p$ beam.

pdf

tmm_pillarseffect_centroid_perpendiculartracks_aligned.png

Fig. 7: Spatial resolution of precision coordinate of Tmm/Tmb chambers

Residual distributions from the hit position difference between a Tmm and a Tmb chamber, divided by √2 (assuming similar resolution for both chambers sice the effect of the different pillar pattern is negligible), featuring a 2D readout. The left plot corresponds to the residuals of the X readouts while the right one shows the Y hit residuals. For this measurement the chambers were kept perpendicular to the beam and the hit reconstruction was done using the centroid method selecting single cluster events in both chambers. A similar performance, in terms of spatial resolution, for X and Y readouts is observed.

σcore corresponds to the width of the core gaussian while σweight is the weighted average of the two gaussians
σweight2=fcoreσcore2+ftailsσtails2, fcore,tails=pcore,tailsσcore,tails/(pcoreσcore+ptailsσtails)

The measurements were performed with Tmm and Tmb type MM bulk resistive chambers operated with an amplification voltage HVamp = 540 V. The data were acquired during SPS/H4 testbeam with a 150 GeV/c μ/π+ beam.

pdf1
pdf2

spatial_resolution_tmm_tmb_x.png spatial_resolution_tmm_tmb_x.png

Fig. 8: Spatial resolution of the T chambers
Residual distributions from the hit position difference between two T type MM chambers (T2,T4) , divided by √2. For this measurement the chambers were kept perpendicular to the beam and the hit reconstruction was done using the centroid method selecting single cluster events in both chambers.

σcore corresponds to the width of the core gaussian while σweight is the weighted average of the two gaussians
σweight2=fcoreσcore2+ftailsσtails2, fcore,tails=pcore,tailsσcore,tails/(pcoreσcore+ptailsσtails)

The measurements were performed with T type MM bulk resistive chambers operated with an amplification voltage HVamp = 550 V.The data were acquired during SPS/H4 testbeam with a 150 GeV/c μ/π+ beam.

pdf

residuals_t2_t4_H4.png

Fig. 9: Spatial resolution of precision coordinate of the MMSW
The MMSW is the Micromegas Quadruplet Prototype. Residuals between the first and the second layer of the MMSW, both with strips measuring the precision coordinate, divided by √2 (assuming similar resolution for both layers).

σcore corresponds to the width of the core gaussian while σweight is the weighted average of the two gaussians
σweight2=fcoreσcore2+ftailsσtails2, fcore,tails=pcore,tailsσcore,tails/(pcoreσcore+ptailsσtails)

The measurements were performed with the MMSW quadruplet operated with an amplification voltage $HVamp = 580 V. The data were acquired during PS/T9 with a 6 GeV/c π+/p$ beam.

pdf

spatial_resolution_mmsw1_layer1layer2.png

Fig. 10: Spatial resolution of precision coordinate of the MMSW
Left: Residuals between the second and the combination of the two stereo readout layers. Right: Residuals between the first and the combination of the two stereo readout layers. The residuals are divided by √1.5 (assuming similar resolution for all 3 layers) because the second hit is reconstructed by combining the two stereo layers (T.Alexopoulos et al., ATL-MUON-INT-2014-005}).\The observed degradation of the measured spatial resolution is mainly owing to the multiple scattering in the material between the layers under study and thus is proportional to the distance separating them (L1,2<L2,34<L1,34). The worse resolution measured compared to the Tmm case is mainly attributed to the different strip pitch.

σcore corresponds to the width of the core gaussian while σweight is the weighted average of the two gaussians
σweight2=fcoreσcore2+ftailsσtails2, fcore,tails=pcore,tailsσcore,tails/(pcoreσcore+ptailsσtails)

The measurements were performed with the MMSW quadruplet operated with an amplification voltage $HVamp = 580 V. The data were acquired during PS/T9 with a 6 GeV/c π+/p$ beam.

pdf1
pdf2

spatial_resolution_mmsw1_layer2layer34.png spatial_resolution_mmsw1_layer1layer34.png

Fig. 11: Spatial resolution of second coordinate of the MMSW
Left : Residual distributions from the hit position difference between the 2nd coordinate hit, reconstructed using the stereo readout 3 and 4 layers of MMSW, with a 2nd coordinate hit reconstructed in one reference chamber at a distance 20 cm from the first plane of the MMSW. Both chambers wee perpendicular to the beam axis and the hit per layer is reconstructed using the centroid method. Right : MC simulation of the ratio between the resolution of the 2nd hit reconstructed combining two stereo layers with the precision coordinate resolution of each stereo layer as a function of the stereo angle value (T.Alexopoulos et al., ATL-MUON-INT-2014-005). For a stereo angle of 1.5 degrees, as in the MMSW case, we expect this ratio to be 27 which is in good agreement with our measurement.

σcore corresponds to the width of the core gaussian while σweight is the weighted average of the two gaussians
σweight2=fcoreσcore2+ftailsσtails2, fcore,tails=pcore,tailsσcore,tails/(pcoreσcore+ptailsσtails)

The measurements were performed with the MMSW quadruplet operated with an amplification voltage $HVamp = 580 V. The data were acquired during PS/T9 with a 6 GeV/c π+/p$ beam.

pdf1
pdf2

spatial_resolution_mmsw1_layer34ytmm6y.png phiError.png

Fig. 12: μTPC refinement - Angular Dsitributions

Angular distributions reconstructed with a T type MM chamber with the μTPC method for four different chamber inclination angles with respect to the beam axis (10, 20, 30, 40 degrees). The long tails correspond to badly reconstructed tracks because of wrong timing determination or owing to clusters with small number of strips. The mean reconstructed angle is estimated by fitting a gaussian on the peak of the distribution. The angular resolution (width of the gaussian) improves with increasing the incidence angle of the track owing to the fact that there is a larger number of points (strips) to be used for the reconstruction of the track.

The measurements were performed with T type MM bulk resistive chambers operated with an amplification voltage HVamp = 510 V.The data were acquired during SPS/H4 testbeam with a 150 GeV/c μ/π+ beam.

pdf1
pdf2
pdf3
pdf4

angle_10deg_aftercor.png
angle_30deg_aftercor.png
angle_20deg_aftercor.png
angle_40deg_aftercor.png

Fig. 13: μTPC refinement - Angle Reconstruction and Spatial Resolution

Left: Comparison of the mean reconstructed angle for different chamber inclination angles with respect to the beam axis before (blue markers) and after (red markers) the refinement of the μTPC method. When the μTPC method is corrected for the effect of the capacitive coupling between neighboring strips and the charge position assignment in the edges of the cluster a significant reduction in the observed mean reconstructed angle bias is observed. The remaining bias is attributed to the remaining effect of the capacitive coupling between the middle strips of the cluster.
Right: Comparison of the spatial resolution measured for different chamber inclination angles with respect to the beam axis (blue markers) and after (red markers) the refinement of the μTPC method. The refinement of the μTPC method results in a siginficant improvement in the measured spatial resolution (especially for the 10, 20 degrees case). The residual distributions that are used for the extraction of the resolution are fitted with a double gaussian to take into account also the tails. For the resolution plot shown here the resolution is defined as the σ of the core gaussian.

The measurements were performed with T type MM bulk resistive chambers operated with an amplification voltage HVamp = 510 V.The data were acquired during SPS/H4 testbeam with a 150 GeV/c μ/π+ beam.

pdf1
pdf2

reco_angle_beforeaftercor_errors.png spatial_resolution_utpc_beforeaftercor_atlasnsw.png

Fig. 14: Spatial resolution of a single Micromegas chamber vs incident angle
Spatial resolution using the charge centroid method (blue triangles), the μTPC method (full red circles) and the combination of the two (black open circles) as a function of the particle incident angle. The resolution is obtained from the residual distribution of the hit position difference between two Micromegas chambers separated by a small distance.
mm_single_plane_spatial_resolution.png

Fig. 15: Ageing studies on a Micromegas chamber irradiated with x-rays
Mesh current measured in a MM test prototype chamber similar to a "Tmm type" prototype irradiated with x-rays and compared with that measured in a reference, non-irradiated detector. The total irradiation dose is 230 mC/cm2, corresponding to 5 years of operation at the high-luminosity LHC with a safety factor above 7. The measurement has been performed at the CEA-Saclay site. 2013 JINST 8 P04028.
mm_single_plane_spatial_resolution.png

Fig. 16: Ageing studies on a Micromegas chamber irradiated with neutrons
Mesh current measured in a MM test prototype chamber similar to a "Tmm type" prototype irradiated with a 8 108n/s cm2 flux of thermal neutrons at Orphee reactor at CEA-Saclay. The total exposition, which lasted 40 hours, is equivalent to 5 years of operation at the high-luminosity LHC with a safety factor above 10. 2013 JINST 8 P04028.
mm_single_plane_spatial_resolution.png

Fig. 17: Ageing studies on a Micromegas chamber irradiated with gamma-rays
Mesh current measured in a MM test prototype chamber similar to a "Tmm type" prototype during an exposure to gamma-rays produced by a 60Co radioactive source at the COCASE facility at CEA-Saclay. The total exposure time is 480 hours, and the total integrated charge is 1484 mC, corresponding to 5 years of high-luminosity LHC with a safety factor above 3. A zoom of the current evolution and of the humidity measurement is also shown. 2013 JINST 8 P04028
mm_single_plane_spatial_resolution.png

Micromegas Results from Cosmic Rays Data at BB5

Fig. 18: Mean Micromegas cluster charge vs the incident angle $\theta$ taken from the track reconstruction using the other layers of the double-wedge. The layers used for the plot are of the eta type (with the strips orthogonal to the longitudinal axis of the double wedge). The BB5 runs used are: 1590923157 (A16 - NL ON), 1590844191 (A16 - NL OFF), 1592067227 (A08 - NL ON), 1592071100 (A08 - neigh OFF). The cluster are defined with at most two consecutive holes, the highest strip charge is greater than \SI{1.2}{\femto\coulomb} and the other strips charge is grater than \SI{0.4}{\femto\coulomb} and its associated position is calculated using the centroid method. The clusters are used in the plot only if the residuals (cluster - track position) is less than 5 mm (if there are more than one cluster per event, the closest to the extrapolated position is chosen) Cluster_charge_meanONOFF.png

Fig. 19: Micromegas cluster width (number of hits+holes per cluster) vs the incident angle $\theta$ taken from the track reconstruction using the other layers of the double-wedge. The geometrical projection is also shown and it is defined as the number of strip hitten by the muon using a simple geometrical projection ($1 + tan(\theta)*h_{drift\ gap}/pitch$). The layers used for the plot are of the eta type (with the strips orthogonal to the longitudinal axis of the double wedge). The BB5 runs used are: 1590923157 (A16 - NL ON), 1590844191 (A16 - NL OFF), 1592067227 (A08 - NL ON), 1592071100 (A08 - neigh OFF). The cluster are defined with at most two consecutive holes, the highest strip charge is greater than \SI{1.2}{\femto\coulomb} and the other strips charge is grater than \SI{0.4}{\femto\coulomb} and its associated position is calculated using the centroid method. The clusters are used in the plot only if the residuals (cluster - track position) is less than 5 mm (if there are more than one cluster per event, the closest to the extrapolated position is chosen Cluster_widthONOFF.png

Fig. 20: Micromegas cluster width (number of hits+holes per cluster) vs amplification voltage (HV). The cluster are defined with at most two consecutive holes, the highest strip charge is greater than \SI{1.2}{\femto\coulomb} and the other strips charge is grater than \SI{0.4}{\femto\coulomb} and its associated position is calculated using the centroid method. The clusters are used in the plot only if the residuals (cluster - track position reconstructed using the other layers of the double wedge) is less than 5 mm for the eta layers or 10 mm for the stereo layer (if there are more than one cluster per event, the closest to the extrapolated position is chosen). Cluster_width_vs_HV.png

Fig. 21: Mean Micromegas cluster charge vs amplification voltage (HV). The cluster are defined with at most two consecutive holes, the highest strip charge is greater than \SI{1.2}{\femto\coulomb} and the other strips charge is grater than \SI{0.4}{\femto\coulomb} and its associated position is calculated using the centroid method. The clusters are used in the plot only if the residuals (cluster - track position reconstructed using the other layers of the double wedge) is less than 5 mm for the eta layers or 10 mm for the stereo layer (if there are more than one cluster per event, the closest to the extrapolated position is chosen) Mean_cluster_charge_vs_HV.png

Fig. 22: Micromegas efficiency map at 570 V. The position of the interconnections is visible in the point with less efficiency. The efficiency is evaluated using the tag and probe method. The probe is the track reconstructed using at least 5 other layers of the double wedge while the tag is a cluster that is within $\pm$ 5 mm for the eta layers respect to extrapolated track position. The clusters are defined with at most two consecutive holes, the highest strip charge is greater than \SI{1.2}{\femto\coulomb} and the other strips charge is grater than \SI{0.4}{\femto\coulomb} and its associated position is calculated using the centroid method Efficiency_Layer6.png

Fig. 23: Micromegas efficiency vs amplification voltage (HV). The efficiency is evaluated using the tag and probe method. The probe is the track reconstructed using at least 5 other layers of the double wedge while the tag is a cluster that is within $\pm$ 5 mm for the eta layers and $\pm$ 10 mm for the stereo ones respect to extrapolated track position. The clusters are defined with at most two consecutive holes, the highest strip charge is greater than \SI{1.2}{\femto\coulomb} and the other strips charge is grater than \SI{0.4}{\femto\coulomb} and its associated position is calculated using the centroid method Efficiency_vs_HV.png

Fig. 24: Hit map for a single Micromegas layer from Cosmics BB5 data (June 2021)
Hit map for a single Micromegas layer. The track reconstructed using at least 5 other layers of the double wedge. The yellow areas highlight the geometric acceptance regions of the two sets of scintillators used as triggers at the BB5 cosmic ray stand.
Track_map_l7.pdf

Fig. 25.1: Micromegas RMS Baseline from Cosmics BB5 data - Eta layer, Small Wedge (June 2021)
Baseline rms per strip for one eta layer of the Micromegas Small Sector C10. The layer used for the plot is of the eta type (with the strips orthogonal to the longitudinal axis of the double wedge). The run used for this plot has been recorded at BB5 and is named 2021\_04\_14\_14h17m47s. The baseline rms values are indicative of the detector noise and depend on the input capacitance to each electronic channel. As expected, the rms value is increasing as a function of the strip number and the corresponding strip length. The dot lines define the MMFE8 boards (16 in total) while bold dot lines define the PCBs (8 in total) of the layer. The noisy channels are defined all the channels above red limits (1.4 times board\_median), the dead channels are defined all channels below blue limits (0.6 times board\_median) while the channels between these limits are defined as normal. Also in each sector type they are some standard unconnected channels that are cutted on this plot.
Channel_RMS_MM.pdf

Fig. 25.2: Micromegas RMS Baseline from Cosmics BB5 data - Stereo Layer; Small Wedge (June 2021)
Baseline rms per strip for one stereo layer of the Micromegas Small Sector C08. The effect of the decreasing length of the strips at the beginning and at the end of the modules in the stereo layers, can be shown in these areas.
Channel_RMS_MM_SM_Stereo.pdf

Fig. 25.3: Micromegas RMS Baseline from Cosmics BB5 data - Eta Layer; Large Wedge (June 2021)
Baseline rms per strip for one eta layer of the Micromegas Large Sector C13.
Channel_RMS_MM_LM_Eta.pdf

Fig. 25.4: Micromegas RMS Baseline from Cosmics BB5 data - Stereo Layer; Large Wedge (June 2021)
Baseline rms per strip for one stereo layer of the Micromegas Large Sector C13. The effect of the decreasing length of the strips at the beginning and at the end of the modules in the stereo layers, can be shown in these areas.
Channel_RMS_MM_LM_Stereo.pdf

Fig. 26: Micromegas Cluster Width (June 2021)
Micromegas cluster width (number of hits+holes per cluster) vs the incident angle $\theta$ taken from the track reconstruction using the other layers of the double-wedge. The layers used for the plot are of the eta type (with the strips orthogonal to the longitudinal axis of the double wedge). The cluster are defined with at most two consecutive holes and the associated position is calculated using the centroid method. The clusters are used in the plot only if the residuals (cluster - track position) is less than 5 mm (if there are more than one cluster per event, the closest to the extrapolated position is chosen.
Cluster_width.pdf

Fig. 27.1: Efficiency Vs MMFE8 threshold - angles 0-10 deg (June 2021)
Micromegas single layer efficiency vs the average threshold applied to the MMFE8. Each entry of the TH2 histogram is an MMFE8. The plot is made using seven different runs with different thresholds applied (8x, 9x, 10x, 11x, 12x, 15x, 18x RMS) so each MMFE8 enters seven times in the plot. Only MMFE8 connected to good PCBs (nominal voltage and without any efficiency problems) are used. The efficiency is evaluated using the tag and probe method. The angular range is $0 \leq |\theta| < 10\ deg$ on the precision coordinate while $0 \leq |\theta| < 5\ deg$ on the second coordinate. The probe is the track reconstructed using at least 5 other layers of the double wedge while the tag is a cluster that is within $\pm$ 5 mm for the eta layers respect to extrapolated track position. The black points are the average values of each bins and the red curve is a second order polynomial fit to the data.
Efficiency_vs_MMFE8_0-10deg_MEAN.pdf

Fig. 27.2: Efficiency Vs MMFE8 threshold - angles 10-20 deg (June 2021)
Efficiency_vs_MMFE8_10-20deg_MEAN.pdf

Fig. 27.3: Efficiency Vs MMFE8 threshold - angles 20-30 deg (June 2021)
Efficiency_vs_MMFE8_20-30deg_MEAN.pdf

Fig. 28: Mean Micromegas cluster charge vs amplification voltage (June 2021)
Mean Micromegas cluster charge vs amplification voltage (HV). The average is calculated using one layer for all the small double-wedge of the NSW-A. The cluster are defined with at most two consecutive holes and the associated position is calculated using the centroid method. The clusters are used in the plot only if the residuals (cluster - track position reconstructed using the other layers of the double wedge) is less than 5 mm for the eta layers or 10 mm for the stereo layer (if there are more than one cluster per event, the closest to the extrapolated position is chosen).
HV_cluster_charge_mean_BB5_Average.pdf

Fig. 29: Spatial resolution with cosmic rays at BB5 for vertical tracks (June 2021)
Residuals between Layer 0 (eta) and Layer 1 (eta) of A06. Only track reconstructed with $|\theta_{xz}| < 1$ deg and $|\theta_{yz}| < 10$ deg are used, with the track reconstructed using at least 5 layers of the double-wedge. The VMM configuration is Neighbour logic OFF, Threshold at 9xRMS, peak time of 200 ns and the HV of the layers are 570 V. The resolutions are extracted using a double Gaussian fit. The core, tail and weighted sigma are written on the plot. To be noted that the spatial resolution with cosmic rays at BB5 is affected by multiple scattering (no absorbers, hence no energy thresholds) and by the angular spread ($\pm 1^{circ}$) which have an impact (in quadrature) of the order of $100\ \mu m$.
Plot_BB5_res.pdf

Fig. 30.1: LM1 Chambers Spatial resolution vs incident angle at BB5 with cosmic rays at BB5 (June 2021)
Resolution on precision coordinate of Eta layers. In this plot is calculated between Layer 7 (eta) and Layer 6 (eta) for $|\theta_{xz}| = 0.1^{\circ}$ angle interval. For the analyses used only sectors with 570 V supply. The VMM configuration is Neighbour logic OFF, Threshold at 9$\times$RMS and peak time of 200 ns.}
LM1_res.png

Fig. 30.2: LM2 Chambers Spatial resolution vs incident angle at BB5 with cosmic rays at BB5(June 2021)
LM2_res.pdf

Fig. 30.3: SM1 Chambers Spatial resolution vs incident angle at BB5 with cosmic rays at BB5 (June 2021)
SM1_res.pdf

Fig. 30.4: SM2 Chambers Spatial resolution vs incident angle at BB5 with cosmic rays at BB5 (June 2021)
SM2_res.pdf

Fig. 31.1: MM Time resolution from cosmic rays data at BB5 (June 2021)
Micromegas time resolution of sector A16 from run 1590880288 at peaking time \SI{200}{\nano\second}, NL OFF and 9xRMS applied threshold. A resolution of \SI{25.9}{\nano\second} is extracted from a gaussian fit of earliest hit time differences between layers, divided by $\sqrt{2}$. All 28 layers combinations of MM are used. Resolution is per MMFE8, with radius 13 shown. Radius 13 corresponds to the portion of layer readout by MMFE8 \#13, located at the top half of PCB 7 on SM2. The incident angle range is $20 < \theta < 25\ deg$.
A16_resolution_all.pdf

Fig. 31.2: MM Time resolution from cosmic rays data at BB5 (June 2021)
Micromegas time resolution of sector A16 from run 1590880288 at peaking time \SI{200}{\nano\second}, NL OFF and 9xRMS applied threshold. Resolution is extracted from a gaussian fit of earliest hit time differences between layers, divided by $\sqrt{2}$. Consecutive layer combinations of MM are used. Resolution is per MMFE8, with radius 13 shown. Radius 13 corresponds to the portion of layer readout by MMFE8 \#13, located at the top half of PCB 7 on SM2. The incident angle range is $20 < \theta < 25\ deg$.
A16_resolution_layers_v1.pdf

Micromegas TEST BEAM Results

Fig. 1: SM2 Module 1 Spatial resolution for perpendicular track from 2017 TB data (uploaded June 2021)
Residuals between Layer 0 (eta) and Layer 1 (eta). The VMM configuration is Neighbour logic ON, Threshold at 8xRMS, peak time of 200 ns and the HV of the layers are 580 V. The resolutions are extracted using a double Gaussian fit. The core, tail and weighted sigma are written on the plot.
Plot_SM2_res.pdf

Fig. 2.1: SM2 Module 1 Spatial resolution (core) including uTPC method from 2017 TB data (uploaded June 2021)
Single layer resolution of SM2 M1 from test beam for different clusterization methods and different setting of the VMM readout chip. The resolutions are extracted using a double gaussian fit. The plot shows the core resolutions.The numbers are indicating the single layer efficiencies. The low efficiencies for the uTPC clusterization can be explained by high noise levels which were present in the testbeam environement and have been reduced to the theretical limit in the mean time.
uTPCTimeCorrectedCoreCentroid.pdf

Fig. 2.2: SM2 Module 1 Spatial resolution (weighted) including uTPC method from 2017 TB data (uploaded June 2021)
Single layer resolution of SM2 M1 from test beam for different clusterization methods and different setting of the VMM readout chip. The resolutions are extracted using a double gaussian fit. The plot shows the weighted resolutions.
uTPCTimeCorrectedWeightedCentroid.pdf

sTGC Results and Plots

sTGC Chamber and Wedge Construction

Public Talks at conferences

Public Plots

Fig. 1: Distribution of the pulse peak values of sTGC strip hits during a typical data acquisition run with X-rays.
During the run, the X-ray gun is positioned over the QS3 module of an sTGC wedge. The module is flushed with pure CO2 and operates at 2.925 kV. Hits from the strips of the second gas volume from the top and in the vicinity of the X-ray beam are shown. The sTGC module under test is read out with VMM3a ASICs mounted on strip front-end boards (sFEB) rev. 2.1. The VMM3a is configured with neighbour triggering enabled, a gain of 1.0 mV/fC and an integration time of 50 ns. The voltage threshold of the electronic channels is tuned on a channel-by-channel basis to be 20 mV above the voltage baseline.
pdo_all.png

Fig. 2: Number of strips making up charge clusters during a typical X-ray data acquisition run.
During the run, the X-ray gun is positioned over the QS3 module of an sTGC wedge. The module is flushed with pure CO2 and operates at 2.925 kV. Hits from the strips of the second gas volume from the top and in the vicinity of the X-ray beam are shown. The sTGC module under test is read out with VMM3a ASICs mounted on strip front-end boards (sFEB) rev. 2.1. The VMM3a is configured with neighbour triggering enabled, a gain of 1.0 mV/fC and an integration time of 50 ns. The voltage threshold of the electronic channels is tuned on a channel-by-channel basis to be 20 mV above the voltage baseline. Charge clusters are defined as a collection of contiguous strip hits read out within a time window of 3 BCID (75 ns). The charge clusters selected for analysis must be made up of neighbour-triggered hits from the outer strips and above-threshold hits from the inner strips which implies a minimum strip multiplicity of 3. Charge clusters with strip-multiplicities below or equal to 5 are used for the analysis of X-ray data.
cluster_size.png

Fig. 3: Sum of the pulse peak values of hits making up a charge cluster during a typical X-ray data acquisition run.
During the run, the X-ray gun is positioned over the QS3 module of an sTGC wedge. The module is flushed with pure CO2 and operates at 2.925 kV. Hits from the strips of the second gas volume from the top and in the vicinity of the X-ray beam are shown. The sTGC module under test is read out with VMM3a ASICs mounted on strip front-end boards (sFEB) rev. 2.1. The VMM3a is configured with neighbour triggering enabled, a gain of 1.0 mV/fC and an integration time of 50 ns. The voltage threshold of the electronic channels is tuned on a channel-by-channel basis to be 20 mV above the voltage baseline. Charge clusters are defined as a collection of contiguous strip hits read out within a time window of 3 BCID (75 ns). Results for charge clusters with strip-multiplicities of 3 to 5 are shown.
sum_pdo.png

Fig. 4: Centroid position of strip charge clusters during an X-ray run with the collimator removed for strip multiplicities of (a)-(e) 3, (b)-(f) 4 and (c)-(g) 5 as well as for clusters multiplicities (d)-(h) 3 to 5 combined.
The raw centroid positions, denoted ycl, are shown in (a-d) and the centroid positions corrected for differential non-linearity (DNL), denoted y'cl, shown in (e-h). The DNL bias is corrected using the formula

y'rel = yrel + ΣNi=1 ci / (2πi) sin( 2πiyrel)

where y'rel and yrel are the cluster centroid positions relative to the nominal strip edges. An independent correction with N=3 is applied for each strip multiplicity. The coefficients ci used for the correction are obtained based on the distributions of yrel of the run. Only clusters from the strips located in the plateau of the X-ray irradiation profile are shown and used for the calculation of the coefficients ci. The pink dashed lines highlight the nominal edges of the strips. During the run, the module is flushed with pure CO2 and operates at 2.925 kV. Hits from the strips of the second gas volume from the top and in the vicinity of the X-ray beam are shown. The sTGC module under test is read out with VMM3a ASICs mounted on strip front-end boards (sFEB) rev. 2.1. The VMM3a is configured with neighbour triggering enabled, a gain of 1.0mV/fC and an integration time of 50 ns. The voltage threshold of the electronic channels is tuned on a channel-by-channel basis to be 20 mV above the voltage baseline. Charge clusters are defined as a collection of contiguous strip hits read out within a time window of 3 BCID (75 ns).

ypos_no_collimator.png

Fig. 5: Cluster centroid position relative to the strip edges, denoted yrel, during an X-ray run without collimator for strip-multiplicities of (a) 3, (b) 4 and (c) 5. The distributions are fitted to the sum of cosines

f(yrel) = 1 + ΣNi=1 ci cos( 2πi yrel)

with N=3. The fitted coefficients ci are used to correct the differential non-linearity bias of runs with collimator. Only clusters from strips located in the plateau of the X-ray irradiation profile are shown and used for the calculation of the coefficients ci. During the run, the module is flushed with pure CO2 and operates at 2.925 kV. Hits from the strips of the second gas volume from the top and in the vicinity of the X-ray beam are shown. The sTGC module under test is read out with VMM3a ASICs mounted on strip front-end boards (sFEB) rev. 2.1. The VMM3a is configured with neighbour triggering enabled, a gain of 1.0 mV/fC and an integration time of 50 ns. The voltage threshold of the electronic channels is tuned on a channel-by-channel basis to be 20 mV above the voltage baseline. Charge clusters are defined as a collection of contiguous strip hits read out within a time window of 3 BCID (75 ns).

yrel_no_collimator.png

Fig. 6: Centroid position of strip charge clusters during a typical X-ray run with collimator for strip multiplicities of (a)-(e) 3, (b)-(f) 4 and (c)-(g) 5 as well as for clusters multiplicities (d)-(h) 3 to 5 combined. The raw centroid positions, denoted ycl, are shown in (a-d) and the centroid positions corrected for differential non-linearity (DNL), denoted y'cl, shown in (e-h). The DNL bias is corrected using the formula

y'rel = yrel + ΣNi=1 ci/(2πi) sin(2πiyrel)

where y'rel and yrel are the cluster centroid positions relative to the nominal strip edges. An independent correction with N=3 is applied for each strip multiplicity. The coefficients ci used for the correction are obtained based on the yrel distributions of runs without collimator. The pink dashed lines highlight the nominal edges of the strips. The distribution of Fig. (h) is fitted to a Gaussian function. The mean parameter μfit of the fitted function is used as the centroid position of the X-ray profile. During the run, the module is flushed with pure CO2 and operates at 2.925 kV. Hits from the strips of the second gas volume from the top and in the vicinity of the X-ray beam are shown. The sTGC module under test is read out with VMM3a ASICs mounted on strip front-end boards (sFEB) rev. 2.1. The VMM3a is configured with neighbour triggering enabled, a gain of 1.0 mV/fC and an integration time of 50 ns. The voltage threshold of the electronic channels is tuned on a channel-by-channel basis to be 20 mV above the voltage baseline. Charge clusters are defined as a collection of contiguous strip hits read out within a time window of 3 BCID (75 ns).

ypos_collimator.png

Fig. 7: Centroid position of the X-ray irradiation profile as a function of the position of a micrometric screw pushing the X-ray gun perpendicularly to the strips over the surface of an sTGC wedge. The X-ray gun is inserted in the holder piece. A square edge is glued to the surface of the wedge to guide the movement of the holder. The charge clusters making up the irradiation profile are corrected for differential non-linearity using correction coefficients obtained with an X-ray run without the collimator. The measurements are fitted to a first-order polynomial with the slope fixed to unity. The fit residuals, shown in the bottom panel, are consistent with a spatial resolution better than 40 microns. During the run, the module is flushed with pure CO2 and operates at 2.925 kV. Hits from the strips of the second gas volume from the top and in the vicinity of the X-ray beam are shown. The sTGC module under test is read out with VMM3a ASICs mounted on strip front-end boards (sFEB) rev. 2.1. The VMM3a is configured with neighbour triggering enabled, a gain of 1.0 mV/fC and an integration time of 50 ns. The voltage threshold of the electronic channels is tuned on a channel-by-channel basis to be 20 mV above the voltage baseline. Charge clusters are defined as a collection of contiguous strip hits read out within a time window of 3 BCID (75 ns). screw.png

Fig. 8: Pictures of the equipment used for the X-ray test.
Top left: X-ray gun inserted in the holder piece and the base plate. Top right: Drawing of the X-ray gun holder. Bottom left: Source plate for the NSW alignment system. Bottom right: Brass collimator inserted in the tip of the gun. The tip of the gun is screwed in the gun body.
xray_equipment.jpg

Fig. 9: Photograph of the interlocked test area used to carry out X-ray measurements.
test_area.jpg

Fig. 10: Photograph of the setup used to measure the intrinsic spatial resolution of the technique using a micrometric screw.
A square angle is glued on the surface of the wedge to guide the holder piece in a perpendicular direction with respect to the strips. The micrometric screw is also glued on the wedge and is used to push the holder by a known distance.
screw_setup.jpg

sTGC Performance

Public Talks at conferences

Public Plots

Fig. 2: Inclusive sTGC residual
The reference track is built from all four hits in the sTGC quadruplet.
sTGC_standalone_residuals_inc.png
Fig. 2: Exclusive sTGC residual
The reference track is built from three hits in the sTGC quadruplet, excluding the first hit for which the residual is computed.
sTGC_standalone_residuals_exc.png
Fig. 2: sTGC residual
The reference track is built from hits in three pixel layers before and after the sTGC quadruplet.
sTGC_residual_pixel.png
Fig. 3: Intrinsic strip spatial resolution measured at the H8 beam line, without the near-neighbour logic
In-situ measurement of the sTGC strip spatial resolution as a function of the applied high-voltage using a low-rate muon beam in the H8 beam-test area at CERN using three layers of a QS3P module during 2018.
intrinsic_sp.png
Fig. 4: Charge distribution from a sTGC pad at (a) the H8 beam line for the QS3 module
The sTGC pad charge distribution (PDO) for different values of applied high-voltage using a low-rate muon beam in the H8 beam-test area at CERN with a QS3P detector during 2018.
pdo_1.png
Fig. 5: Charge distribution from a sTGC pad at the GIF++ facility for the QL1 module
The sTGC pad charge PDO distribution (normalised) for different background rates, as measured in GIF++ using a muon beam in the presence of high rate photon background in GIF++ at CERN with a QL1 detector during 2018.
pdo_2.png

sTGC Results from Cosmic Rays Data

Fig. 6: Data for a QL2C module tested with cosmic rays at McGill University. During the test, the module is placed horizontally between two layers of plastic scintillator detectors that trigger on the passage of muons. Data acquisition is triggered by the coincidence of signals from the two scintillator layers. The total data taking time is approximately one day. The module is read out with VMM3 ASICs fitted on prototype front-end boards. Exclusive \emph{test tracks} are reconstructed using all wire and strip hits of the tested module excluding hits from the tested layer. The efficiency of a strip is defined as the fraction of test tracks pointing at the strip that are accompagnied with a hit on the strip. The large drops in efficiency are explained by the five 7-mm wide wire supports which lay parallel to the strip inside the gas volume. Likewise the moderate drops in efficiency between the wire supports are explained by the presence of button supports. ql2c7-eff-strips-1D.png

Fig. 7: Data for a QL2C module tested with cosmic rays at McGill University. During the test, the module is placed horizontally between two layers of plastic scintillator detectors that trigger on the passage of muons. Data acquisition is triggered by the coincidence of signals from the two scintillator layers. The total data taking time is approximately one day. The module is read out with VMM3 ASICs fitted on prototype front-end boards. The surface of the gas volume is divided in test bins. All test bins have the same dimensions except for 5 rows of bins whose height is tuned to fully cover the wire supports. Exclusive \emph{test tracks} are reconstructed using all wire and strip hits of the tested module excluding hits from the tested layer. The efficiency associated to a test bin is defined as the fraction of test tracks pointing at the bin that are accompagnied with a strip hit in the vincinity of the bin. The narrow inneficient regions correspond to the five 7-mm wide wire supports which lie parallel to the strip inside the gas volume. ql2c7-eff-strips-2D.png

Fig. 8: Data for a QL2C module read out with VMM3 ASICs fitted on prototype front-end boards. The noise is the RMS of the baseline voltage of the strip channels measured at the monitor output of the VMM3. The oscilloscope is setup with a time window of
        1. microseconds and in AC coupling mode during the measurement. The direct voltage measurements and RMS calculation are done using an oscilloscope.
ql2c7-noise-strips-1D.png

Fig. 9: Data for a QL2C module tested with cosmic rays at McGill University. During the test, the module is placed horizontally between two layers of plastic scintillator detectors that trigger on the passage of muons. Data acquisition is triggered by the coincidence of signals from the two scintillator layers. The total data taking time is approximately one day. The module is read out with VMM3 ASICs fitted on prototype front-end boards.. ql2c7-pdo-pads.png

Fig. 10: Data for a QL2C module tested with cosmic rays at McGill University. During the test, the module is placed horizontally between two layers of plastic scintillator detectors that trigger on the passage of muons. Data acquisition is triggered by the coincidence of signals from the two scintillator layers. The total data taking time is approximately one day. The module is read out with VMM3 ASICs fitted on prototype front-end boards. Neighbour triggered hits are included in the histogram. ql2c7-pdo-strips.png

Fig. 11: Data for a QL2C module tested with cosmic rays at McGill University. During the test, the module is placed horizontally between two layers of plastic scintillator detectors that trigger on the passage of muons. Data acquisition is triggered by the coincidence of signals from the two scintillator layers. The total data taking time is approximately one day. The module is read out with VMM3 ASICs fitted on prototype front-end boards. ql2c7-pdo-wires.png

Fig. 12: Data for a QL2C module tested with cosmic rays at McGill University. During the test, the module is placed horizontally between two layers of plastic scintillator detectors that trigger on the passage of muons. Data acquisition is triggered by the coincidence of signals from the two scintillator layers. The total data taking time is approximately one day. The module is read out with VMM3 ASICs fitted on prototype front-end boards. Charge clusters are made up of hits from contiguous cathode strips of a layer. Due to neighbour triggering, the strip multiplicity is typically larger or equal to 3. Neighbour triggered hits with a peak value below baseline are nevertheless rejected which can reduce the multiplicity. Charge clusters on the edges of a strip board can also have a multiplicity lower than 3. ql2c7-raw-cluster-size.png

Fig. 13: Data for a QL2C module tested with cosmic rays at McGill University. During the test, the module is placed horizontally between two layers of plastic scintillator detectors that trigger on the passage of muons. Data acquisition is triggered by the coincidence of signals from the two scintillator layers. The total data taking time is approximately one day. The module is read out with VMM3 ASICs fitted on prototype front-end boards. Charge clusters are made up of hits from contiguous cathode strips of a layer. The total charge of a cluster is the sum of the peak values of the strip hits making up the cluster after pedestal subtraction. ql2c7-sum-pdo-strips.png

SIMULATIONS

SIMULATIONS - Micromegas Digitization and Reconstruction

Fig. 1: Micromegas Cluster Charge Vs incident angle (June 2021)
Mean Micromegas cluster charge vs. the incident angle $\theta$ from the simulation with the neighbor logic of the VMM being on and off. The cluster is reconstructed using the centroid method with a maximum of one consecutive missing strip. The Digitization was using a gas gain of 8000 and a VMM threshold of 15000 electrons (\SI{2.4}{\femto\coulomb}) was applied on all strips. The charge sharing between the strips was set to \num{0.3} to the next and \num{0.09} for the next to next neighbor strip. In the neighbor logic on mode strips next to a strip over threshold are read out independent of them being above threshold or not. The strip charge is required to be higher then \SI{0.4}{\femto\coulomb} for strips to be accepted in the analysis.
singlePointRes_clusterChargeNLOnOff_clusterChargeVsTheta.pdf

Fig. 2: Micromegas Cluster Width Vs angle (June 2021)
Mean Micromegas cluster width vs. the incident angle $\theta$ from the simulation with the neighbor logic of the VMM being on and off. The cluster is reconstructed using the centroid method with a maximum of one consecutive missing strip. The Digitization was using a gas gain of 8000 and the VMM threshold indicated in the plot was applied to each strip. A charge sharing of \num{0.3} was applied for the next neighbor strip and the squared value is used for the next to next neighbor strip. In the neighbor logic on mode strips next to a strip over threshold are read out independent of them being above threshold or not. The strip charge is required to be higher then \SI{0.4}{\femto\coulomb} for strips to be accepted in the analysis.
singlePointRes_thesisThresholdNLScan_clusterWidthVsTheta.png

Fig. 3.1: Micromegas Cluster Width Vs angle - (June 2021)
Mean Micromegas cluster width vs. the incident angle $\theta$ from the simulation for different configurations of the VMM neighbor logic and threshold applied to each strip. The charge sharing to the next strip is indicated in the plot, for the next to next strip the squared value is used. The cluster is reconstructed using the centroid method with a maximum of one consecutive missing strip. The Digitization was using a gas gain of 8000 and a VMM threshold of 15000 electrons (\SI{2.4}{\femto\coulomb}) was applied to each strip. In the neighbor logic on mode strips next to a strip over threshold are read out independent of them being above threshold or not. The strip charge is required to be higher then \SI{0.4}{\femto\coulomb} for strips to be accepted in the analysis.
singlePointRes_thesisCTScanNLOff_clusterWidthVsTheta.png

Fig. 3.2: Micromegas Cluster Width Vs angle - cont. (June 2021)
Mean Micromegas cluster width vs. the incident angle $\theta$ from the simulation for different configurations of the VMM neighbor logic and threshold applied to each strip. The charge sharing to the next strip is indicated in the plot, for the next to next strip the squared value is used. The cluster is reconstructed using the centroid method with a maximum of one consecutive missing strip. The Digitization was using a gas gain of 8000 and a VMM threshold of 15000 electrons (\SI{2.4}{\femto\coulomb}) was applied to each strip. In the neighbor logic on mode strips next to a strip over threshold are read out independent of them being above threshold or not. The strip charge is required to be higher then \SI{0.4}{\femto\coulomb} for strips to be accepted in the analysis.
singlePointRes_thesisCTScanNLOn_clusterWidthVsTheta.png

Fig. 3.3: Micromegas Cluster Width Vs angle - cont. (June 2021)
Mean Micromegas cluster width vs. the incident angle $\theta$ from the simulation for different configurations of the VMM neighbor logic and threshold applied to each strip. The charge sharing to the next strip is indicated in the plot, for the next to next strip the squared value is used. The cluster is reconstructed using the centroid method with a maximum of one consecutive missing strip. The Digitization was using a gas gain of 8000 and a VMM threshold of 15000 electrons (\SI{2.4}{\femto\coulomb}) was applied to each strip. In the neighbor logic on mode strips next to a strip over threshold are read out independent of them being above threshold or not. The strip charge is required to be higher then \SI{0.4}{\femto\coulomb} for strips to be accepted in the analysis.
singlePointRes_thesisCTScanNLOffhighThresh_clusterWidthVsTheta.png

Fig. 3.4: Micromegas Cluster Width Vs angle - cont. (June 2021)
Mean Micromegas cluster width vs. the incident angle $\theta$ from the simulation for different configurations of the VMM neighbor logic and threshold applied to each strip. The charge sharing to the next strip is indicated in the plot, for the next to next strip the squared value is used. The cluster is reconstructed using the centroid method with a maximum of one consecutive missing strip. The Digitization was using a gas gain of 8000 and a VMM threshold of 15000 electrons (\SI{2.4}{\femto\coulomb}) was applied to each strip. In the neighbor logic on mode strips next to a strip over threshold are read out independent of them being above threshold or not. The strip charge is required to be higher then \SI{0.4}{\femto\coulomb} for strips to be accepted in the analysis.
singlePointRes_thesisCTScanNLOnhighThresh_clusterWidthVsTheta.png

Fig. 4: Drift time of the individual strips of a MM centroid cluster. (June 2021)
From the width of the drift gap of \SI{5}{\mm} and the drift velocity of \SI{48}{\micro\m\per\ns} the maximal drift time is expected to be in the order of \SI{100}{\ns}. The Digitization was using a gas gain of 8000 and the VMM threshold indicated in the plot was applied to each strip. In the neighbor logic on mode strips next to a strip over threshold are read out independent of them being above threshold or not. A charge sharing of \num{0.3} was applied for the next neighbor strip and the squared value is used for the next to next neighbor strip.
singlePointRes_thesisThresholdNLScan_driftTime.png

Fig. 5: Verification of the Charge Sharing between strips in MM (June 2021)
Charge ratio of the first and second strip of a cluster. The cluster is reconstructed using the uTPC method. The threshold is 15ke applied on all channels and the neighbor logic is not enabled. The charge sharing indicated in the plot is applied towards the next neighbor and the squared value is applied to the next to next neighbor.
singlePointRes_thesisuTPCCTTH15kScanonlyuTPC_chargeRatioFirstHit.png

Fig. 6.1: MM position Resolution with default charge sharing Vs eta (June 2021)
Truth resolution of the even MM eta layers for different clusterization methods in a sample with the nominal charge sharing of 0.3 to the next and 0.09 to the next to next neighbor and a threshold of 15 ke.No time smearing is applied. The resolution is extracted using a bi-Gaussian fit and weighting the witdth of both by the amplitude. The neighbor logic is off. The centroid clusterization is combining neighboring strips allowing holes of one strip. The uTPC clusterization uses the time information available for each strip to find straight tracks through the gas gap. For the filtering, a Hough transformation is used. The cluster position is determined by a straight line fit of the primary ionisations in the gas gap, evaluated at the center of the gas gap.
singlePointRes_thesisResolutionCT0.3Th15keNLOff_weightedResolutionTruthEvenGG_eta.png

Fig. 6.2: MM position Resolution with default charge sharing Vs angle (June 2021)
Truth resolution of the even MM eta layers for different clusterization methods in a sample with the nominal charge sharing of 0.3 to the next and 0.09 to the next to next neighbor and a threshold of 15 ke.No time smearing is applied. The resolution is extracted using a bi-Gaussian fit and weighting the witdth of both by the amplitude. The neighbor logic is off. The centroid clusterization is combining neighboring strips allowing holes of one strip. The uTPC clusterization uses the time information available for each strip to find straight tracks through the gas gap. For the filtering, a Hough transformation is used. The cluster position is determined by a straight line fit of the primary ionisations in the gas gap, evaluated at the center of the gas gap.
singlePointRes_thesisResolutionCT0.3Th15keNLOff_weightedResolutionTruthEvenGG_theta.png

Fig. 7.1: MM Reconstruction with different Charge Sharing Settings and Threshold at 15 ke (June 2021)
Truth resolution of the even MM eta layers for different clusterization methods in samples with different charge sharing values and thresholds. No time smearing is applied. The charge sharing indicated in the plot is used for the next neighbor and the squared values for the next to next neighbor. The resolution is extracted using a bi-Gaussian fit and weighting the width of both by the amplitude. The neighbor logic is off. The centroid clusterization is combining neighboring strips allowing holes of one strip. The uTPC clusterization uses the time information available for each strip to find straight tracks through the gas gap. For the filtering, a Hough transformation is used. The cluster position is determined by a straight line fit of the primary ionisations in the gas gap, evaluated at the center of the gas gap.
singlePointRes_thesisuTPCCTTH15kScan_weightedResolutionTruthEvenGG_theta.png

Fig. 7.2: MM Reconstruction with different Charge Sharing Settings and Threshold at 25 ke (June 2021)
Truth resolution of the even MM eta layers for different clusterization methods in samples with different charge sharing values and thresholds. No time smearing is applied. The charge sharing indicated in the plot is used for the next neighbor and the squared values for the next to next neighbor. The resolution is extracted using a bi-Gaussian fit and weighting the width of both by the amplitude. The neighbor logic is off. The centroid clusterization is combining neighboring strips allowing holes of one strip. The uTPC clusterization uses the time information available for each strip to find straight tracks through the gas gap. For the filtering, a Hough transformation is used. The cluster position is determined by a straight line fit of the primary ionisations in the gas gap, evaluated at the center of the gas gap.
singlePointRes_thesisuTPCCTTH25kScan_weightedResolutionTruthEvenGG_theta.png

Fig. 8: MM Cluster reconstruction Efficiency Vs HV (June 2021)
Cluster reconstruction efficiency as a function of high voltage. The clusters were reconstructed using the centroid. The change of HV is implemented in the Digitization by scaling the amplification according to cluster charge dependence from cosmic data. The data curve is integrated over all angles present in the cosmic ray test stand.}.
efficiencyScan_softwareVsBB5.png

SIMULATIONS - Background / OVERLAY

Fig. 1.1: NSW Overlay - Hit rates - log scale (June 2021)
Simulated hit rate in the NSW including contributions from in and out of time pileup in the form of minbias and cavern background. During the simulation, the bunch spacing is set to 25 ns, the average number of interactions per bunch crossing to $\langle \mu \rangle$ = 40 and the luminosity to $\mathcal{L} = 1.74 \times 10^{34}$~cm$^{-2}$ s$^{-1}$. .
overlayed_HitRate.png

Fig. 1.2: NSW Overlay Hit rates - linear scale (June 2021)
Simulated hit rate in the NSW including contributions from in and out of time pileup in the form of minbias and cavern background. During the simulation, the bunch spacing is set to 25 ns, the average number of interactions per bunch crossing to $\langle \mu \rangle$ = 40 and the luminosity to $\mathcal{L} = 1.74 \times 10^{34}$~cm$^{-2}$ s$^{-1}$. .
overlayed_HitRate_noLog.png

Fig. 2: NSW Overlay - MM and sTGC Strip rates (June 2021)
Simulated hit rate per strip in the NSW including contributions from in and out of time pileup in the form of minbias and cavern background. During the simulation, the bunch spacing is set to 25 ns, the average number of interactions per bunch crossing to $\langle \mu \rangle$ = 40 and the luminosity to $\mathcal{L} = 1.74 \times 10^{34}$~cm$^{-2}$ s$^{-1}$. The sTGC strip width is 3.2 mm and the the MM strips width is defined as 0.4375~mm, the average strip width between large (0.450~mm) and small (0.425~mm) sectors.
overlayed_StripRate.png

Combined Results and Plots

Fig. 1: Here goes the plot title/short content description and the upload date
And here goes the detailed and background information
MyPlotName.png

Electronics

Fig. 1: Performance of sTGC serializer: "Eye" diagram
The sTGC trigger data serializer (TDS) ASIC chip is responsible for the preparation of trigger data for both pads and strips with additional task of serializing data for transmission to the circuits on the rim of the NSW detector. The serializer is realized in IBM 130 nm CMOS technology. It is adapted from the CERN GBT serializer, with changed architecture from loading 120 bits at 40 MHz to loading 30 bits in parallel at 160 MHz. The serial output is at 4.8 Gbps. The eye diagram is evaluated in a 12.5 GHz bandwidth, 50 GS/s oscilloscope with a PRBS-31 pattern. The height of the eye is measured to be about 540 mV, and the width is about 180.3 ps. Jitter analysis shows that the total jitter at a bit-error-ratio (BER) of 1E-12 is 49.7 ps. A BER test with embedded PRBS checker inside a Xilinx 7 FPGA was also performed. An error free running of three days has been achieved, which corresponds to a BER less than 1 E-15.
sTGC_serializer_performance.png


Major updates:
-- Main.Stephanie.Zimmermann - 2014-10-31

Responsible: BeateHeinemann
Subject: public

Topic attachments
I Attachment History Action Size Date Who Comment
PDFpdf A16_resolution_all.pdf r1 manage 15.6 K 2021-06-27 - 14:47 MauroIodice MM Time resolution from BB5 Cosmics data
PDFpdf A16_resolution_layers_v1.pdf r1 manage 19.5 K 2021-06-27 - 14:47 MauroIodice MM Time resolution from BB5 Cosmics data
PDFpdf Channel_RMS_MM.pdf r1 manage 243.7 K 2021-06-27 - 13:26 MauroIodice Baseline RMS for MM Channels for eta/stereo small/large wedges
PDFpdf Channel_RMS_MM_LM_Eta.pdf r1 manage 241.7 K 2021-06-27 - 13:26 MauroIodice Baseline RMS for MM Channels for eta/stereo small/large wedges
PDFpdf Channel_RMS_MM_LM_Stereo.pdf r1 manage 243.0 K 2021-06-27 - 13:26 MauroIodice Baseline RMS for MM Channels for eta/stereo small/large wedges
PDFpdf Channel_RMS_MM_SM_Stereo.pdf r1 manage 247.1 K 2021-06-27 - 13:26 MauroIodice Baseline RMS for MM Channels for eta/stereo small/large wedges
PDFpdf Cluster_charge_meanONOFF.pdf r1 manage 15.9 K 2020-12-03 - 12:38 MauroIodice Mean Micromegas cluster charge vs the incident angle
PDFpdf Cluster_width.pdf r1 manage 17.9 K 2021-06-27 - 13:45 MauroIodice Micromegas Cluster Width (BB5 data)
PDFpdf Cluster_widthONOFF.pdf r1 manage 16.5 K 2020-12-03 - 12:51 MauroIodice Cluster width Vs angle
PNGpng Cluster_widthONOFF.png r1 manage 91.9 K 2020-12-03 - 17:30 MauroIodice Micromegas Cluster width Vs angle
PDFpdf Cluster_width_vs_HV.pdf r1 manage 18.9 K 2020-12-03 - 12:55 MauroIodice Cluster width Vs HV
PNGpng Cluster_width_vs_HV.png r1 manage 149.8 K 2020-12-03 - 17:29 MauroIodice Micromegas Cluster width Vs HV
PDFpdf Efficiency_Layer6.pdf r1 manage 30.5 K 2020-12-03 - 12:56 MauroIodice Efficiency map Layer 6
PNGpng Efficiency_Layer6.png r1 manage 127.4 K 2020-12-03 - 17:32 MauroIodice Micromegas Layer 6 Efficiency
PDFpdf Efficiency_vs_HV.pdf r1 manage 19.2 K 2020-12-03 - 12:57 MauroIodice Efficiency Vs HV
PNGpng Efficiency_vs_HV.png r1 manage 153.8 K 2020-12-03 - 17:32 MauroIodice Micromegas Efficiency Vs HV
PDFpdf Efficiency_vs_MMFE8_0-10deg_MEAN.pdf r1 manage 20.5 K 2021-06-27 - 14:17 MauroIodice MM Efficiency Vs MMFE8 threshold (from BB5 data)
PDFpdf Efficiency_vs_MMFE8_10-20deg_MEAN.pdf r1 manage 20.8 K 2021-06-27 - 14:17 MauroIodice MM Efficiency Vs MMFE8 threshold (from BB5 data)
PDFpdf Efficiency_vs_MMFE8_20-30deg_MEAN.pdf r1 manage 21.0 K 2021-06-27 - 14:17 MauroIodice MM Efficiency Vs MMFE8 threshold (from BB5 data)
JPEGjpg H6_hd.jpg r1 manage 2521.4 K 2015-05-20 - 17:46 KonstantinosNtekas Micromegas TB photo
PDFpdf HV_cluster_charge_mean_BB5_Average.pdf r1 manage 15.0 K 2021-06-27 - 14:23 MauroIodice Mean Micromegas cluster charge vs HV
PDFpdf LM1_res.pdf r1 manage 38.5 K 2021-06-27 - 14:43 MauroIodice MM Spatial resolution Vs incident angle with cosmics at BB5
PNGpng LM1_res.png r1 manage 143.9 K 2021-07-04 - 12:38 StefanoRosati  
PDFpdf LM2_res.pdf r1 manage 38.9 K 2021-06-27 - 14:43 MauroIodice MM Spatial resolution Vs incident angle with cosmics at BB5
PDFpdf Mean_cluster_charge_vs_HV.pdf r1 manage 18.9 K 2020-12-03 - 12:56 MauroIodice Cluster charge Vs HV
PNGpng Mean_cluster_charge_vs_HV.png r1 manage 147.6 K 2020-12-03 - 17:31 MauroIodice Micromegas cluster charge vs HV
PDFpdf Plot_BB5_res.pdf r1 manage 17.2 K 2021-06-27 - 14:31 MauroIodice  
PDFpdf Plot_SM2_res.pdf r1 manage 17.9 K 2021-06-27 - 15:01 MauroIodice SM2 - M1 TEST BEAM Spatial Resolution
PDFpdf SM1_res.pdf r1 manage 36.7 K 2021-06-27 - 14:43 MauroIodice MM Spatial resolution Vs incident angle with cosmics at BB5
PDFpdf SM2_res.pdf r1 manage 35.4 K 2021-06-27 - 14:43 MauroIodice MM Spatial resolution Vs incident angle with cosmics at BB5
PDFpdf Track_map_l7.pdf r1 manage 29.5 K 2021-06-27 - 13:13 MauroIodice MM Hit Map from BB5 cosmics data
PDFpdf angle_10deg_aftercor.pdf r1 manage 15.6 K 2015-05-20 - 16:52 KonstantinosNtekas Micromegas angular distribution for 10 degrees
PNGpng angle_10deg_aftercor.png r1 manage 105.1 K 2015-05-21 - 18:27 KonstantinosNtekas  
PDFpdf angle_20deg_aftercor.pdf r1 manage 15.8 K 2015-05-20 - 16:52 KonstantinosNtekas Micromegas angular distribution for 20 degrees
PNGpng angle_20deg_aftercor.png r1 manage 112.3 K 2015-05-21 - 18:27 KonstantinosNtekas  
PDFpdf angle_30deg_aftercor.pdf r1 manage 16.0 K 2015-05-20 - 16:52 KonstantinosNtekas Micromegas angular distribution for 30 degrees
PNGpng angle_30deg_aftercor.png r1 manage 118.6 K 2015-05-21 - 18:27 KonstantinosNtekas  
PDFpdf angle_40deg_aftercor.pdf r1 manage 15.9 K 2015-05-20 - 16:52 KonstantinosNtekas Micromegas angular distribution for 40 degrees
PNGpng angle_40deg_aftercor.png r1 manage 116.7 K 2015-05-21 - 18:27 KonstantinosNtekas  
PDFpdf apv.pdf r1 manage 28.5 K 2015-05-20 - 17:17 KonstantinosNtekas Micromegas APV integrated charge single channel example
PNGpng apv.png r1 manage 126.6 K 2015-05-21 - 18:52 KonstantinosNtekas  
PDFpdf apv_function.pdf r1 manage 33.2 K 2015-05-20 - 17:17 KonstantinosNtekas Micromegas APV integrated charge single channel example
PNGpng apv_function.png r1 manage 163.8 K 2015-05-21 - 18:52 KonstantinosNtekas  
PNGpng cluster_size.png r1 manage 129.6 K 2020-04-23 - 09:50 BenoitLefebvre  
PDFpdf display3.pdf r1 manage 16.3 K 2015-05-20 - 17:13 KonstantinosNtekas Micromegas track evt display
PNGpng display3.png r1 manage 124.4 K 2015-05-21 - 18:52 KonstantinosNtekas  
PDFpdf efficiencyScan_softwareVsBB5.pdf r1 manage 15.3 K 2021-06-27 - 12:44 MauroIodice MM Cluster reconstruction Efficiency Vs HV
PDFpdf efficiency_tmm_pillarregions_centroid_perpendiculartracks.pdf r1 manage 31.3 K 2015-05-20 - 16:52 KonstantinosNtekas Micromegas efficiency map for different regions with respect to the pillars
PNGpng efficiency_tmm_pillarregions_centroid_perpendiculartracks.png r1 manage 238.0 K 2015-05-21 - 18:27 KonstantinosNtekas  
PDFpdf efficiency_tqf_t2_centroid_30degtracks_angletext.pdf r1 manage 18.6 K 2015-05-20 - 16:52 KonstantinosNtekas Micromegas efficiency map for 30 degrees inclination angle
PNGpng efficiency_tqf_t2_centroid_30degtracks_angletext.png r1 manage 88.6 K 2015-05-21 - 18:27 KonstantinosNtekas  
PDFpdf efficiency_tqf_t2_centroid_perpendiculartracks_angletext.pdf r1 manage 19.5 K 2015-05-20 - 16:52 KonstantinosNtekas Micromegas efficiency map for 0 degrees inclination angle
PNGpng efficiency_tqf_t2_centroid_perpendiculartracks_angletext.png r1 manage 95.3 K 2015-05-21 - 18:27 KonstantinosNtekas  
PNGpng gamma_ageing.png r1 manage 61.3 K 2015-07-01 - 18:56 MarcoVanadia Micromegas ageing studies with gamma-rays
PNGpng intrinsic_sp.png r1 manage 137.1 K 2020-05-14 - 11:09 DenisPudzha  
PNGpng mm_single_plane_spatial_resolution.png r1 manage 19.1 K 2014-11-18 - 01:37 OliverStelzerChilton MM single plane spatial resolution vs incident angle
PNGpng mmsw_precision_coordinate.png r1 manage 36.3 K 2014-11-18 - 01:39 OliverStelzerChilton MMSW precision coordinate resolution
PNGpng mmsw_second_coordinate.png r1 manage 41.1 K 2014-11-18 - 01:39 OliverStelzerChilton MMSW second coordinate resolution
PNGpng neutron_ageing.png r1 manage 95.1 K 2015-07-01 - 18:52 MarcoVanadia Micromegas ageing studies with neutrons
PNGpng overlayed_HitRate.png r1 manage 13.4 K 2021-06-27 - 12:52 MauroIodice NSW Overlay - simulated hit rates
PNGpng overlayed_HitRate_noLog.png r1 manage 16.3 K 2021-06-27 - 12:52 MauroIodice NSW Overlay - simulated hit rates
PNGpng overlayed_StripRate.png r1 manage 14.7 K 2021-06-27 - 12:54 MauroIodice NSW Overlay - Simulated strip rates
PNGpng pdo_1.png r1 manage 193.6 K 2020-05-14 - 11:09 DenisPudzha  
PNGpng pdo_2.png r1 manage 314.2 K 2020-05-14 - 11:09 DenisPudzha  
PDFpdf pdo_all.pdf r1 manage 14.1 K 2020-04-23 - 09:40 BenoitLefebvre  
PNGpng pdo_all.png r1 manage 91.0 K 2020-04-23 - 09:44 BenoitLefebvre  
PDFpdf phiError.pdf r1 manage 38.9 K 2015-05-21 - 10:47 KonstantinosNtekas MC expectation for second coordinate resolution with stereo strips
PNGpng phiError.png r1 manage 104.9 K 2015-05-21 - 18:27 KonstantinosNtekas  
PDFpdf ql2c7-eff-strips-1D.pdf r1 manage 16.8 K 2020-12-03 - 18:45 MauroIodice sTGC strips Efficiency
PNGpng ql2c7-eff-strips-1D.png r1 manage 102.3 K 2020-12-03 - 18:45 MauroIodice sTGC strips Efficiency
PDFpdf ql2c7-eff-strips-2D.pdf r1 manage 17.7 K 2020-12-03 - 18:54 MauroIodice sTGC efficiency map
PNGpng ql2c7-eff-strips-2D.png r1 manage 105.1 K 2020-12-03 - 18:54 MauroIodice sTGC efficiency map
PDFpdf ql2c7-noise-strips-1D.pdf r1 manage 17.2 K 2020-12-03 - 18:54 MauroIodice sTGC ql2c7 strip noise
PNGpng ql2c7-noise-strips-1D.png r1 manage 102.8 K 2020-12-03 - 18:54 MauroIodice sTGC ql2c7 strip noise
PDFpdf ql2c7-noise-strips-2D.pdf r1 manage 17.0 K 2020-12-03 - 18:55 MauroIodice sTGC ql2c7 noise map
PNGpng ql2c7-noise-strips-2D.png r1 manage 107.3 K 2020-12-03 - 18:55 MauroIodice sTGC ql2c7 noise map
PDFpdf ql2c7-pdo-pads.pdf r1 manage 14.5 K 2020-12-03 - 18:56 MauroIodice sTGC ql2c7 PDO
PNGpng ql2c7-pdo-pads.png r1 manage 104.3 K 2020-12-03 - 18:56 MauroIodice sTGC ql2c7 PDO
PDFpdf ql2c7-pdo-strips.pdf r1 manage 14.5 K 2020-12-03 - 18:56 MauroIodice sTGC ql2c7 PDO
PNGpng ql2c7-pdo-strips.png r1 manage 110.1 K 2020-12-03 - 18:56 MauroIodice sTGC ql2c7 PDO
PDFpdf ql2c7-pdo-wires.pdf r1 manage 14.3 K 2020-12-03 - 18:56 MauroIodice sTGC ql2c7 PDO
PNGpng ql2c7-pdo-wires.png r1 manage 96.3 K 2020-12-03 - 18:56 MauroIodice sTGC ql2c7 PDO
PDFpdf ql2c7-raw-cluster-size.pdf r1 manage 14.3 K 2020-12-03 - 18:57 MauroIodice sTGC ql2c7 cluster size
PNGpng ql2c7-raw-cluster-size.png r1 manage 114.0 K 2020-12-03 - 18:57 MauroIodice sTGC ql2c7 cluster size
PDFpdf ql2c7-sum-pdo-strips.pdf r1 manage 14.6 K 2020-12-03 - 18:58 MauroIodice sTGC ql2c7 strips cluster PDO
PNGpng ql2c7-sum-pdo-strips.png r1 manage 110.1 K 2020-12-03 - 18:58 MauroIodice sTGC ql2c7 strips cluster PDO
PDFpdf reco_angle_beforeaftercor_errors.pdf r1 manage 15.7 K 2015-05-20 - 16:52 KonstantinosNtekas Micromegas reconstructed angle before and after the utpc refinement
PNGpng reco_angle_beforeaftercor_errors.png r1 manage 129.5 K 2015-05-21 - 18:27 KonstantinosNtekas  
PDFpdf residuals_t2_t4_H4.pdf r1 manage 18.1 K 2015-05-20 - 16:52 KonstantinosNtekas Micromegas resolution for T chamber type
PNGpng residuals_t2_t4_H4.png r1 manage 168.7 K 2015-05-21 - 18:27 KonstantinosNtekas  
PNGpng sTGC_residual_pixel.png r1 manage 45.5 K 2014-11-19 - 19:57 OliverStelzerChilton sTGC residual with respect to a pixel track
PNGpng sTGC_serializer_performance.png r1 manage 271.4 K 2014-12-01 - 19:50 OliverStelzerChilton sTGC serializer performance
PNGpng sTGC_standalone_residuals_exc.png r1 manage 131.6 K 2014-11-19 - 01:26 OliverStelzerChilton sTGC standalone exclusive resolution
PNGpng sTGC_standalone_residuals_inc.png r1 manage 116.8 K 2014-11-19 - 01:26 OliverStelzerChilton sTGC standalone inclusive resolution
PNGpng screw.png r1 manage 377.4 K 2020-04-23 - 10:52 BenoitLefebvre  
JPEGjpg screw_setup.jpg r1 manage 62.5 K 2020-04-23 - 10:56 BenoitLefebvre  
PDFpdf singlePointRes_clusterChargeNLOnOff_clusterChargeVsTheta.pdf r1 manage 14.4 K 2021-06-27 - 11:41 MauroIodice MM clusterChargeNLOnOff_clusterChargeVsTheta
PNGpng singlePointRes_clusterChargeNLOnOff_clusterChargeVsTheta.png r1 manage 61.5 K 2021-07-04 - 14:18 StefanoRosati  
PDFpdf singlePointRes_thesisCTScanNLOff_clusterWidthVsTheta.pdf r1 manage 15.2 K 2021-06-27 - 12:07 MauroIodice  
PNGpng singlePointRes_thesisCTScanNLOff_clusterWidthVsTheta.png r1 manage 81.7 K 2021-07-04 - 14:18 StefanoRosati  
PDFpdf singlePointRes_thesisCTScanNLOffhighThresh_clusterWidthVsTheta.pdf r1 manage 15.2 K 2021-06-27 - 12:07 MauroIodice  
PNGpng singlePointRes_thesisCTScanNLOffhighThresh_clusterWidthVsTheta.png r1 manage 82.1 K 2021-07-04 - 14:18 StefanoRosati  
PDFpdf singlePointRes_thesisCTScanNLOn_clusterWidthVsTheta.pdf r1 manage 15.2 K 2021-06-27 - 12:07 MauroIodice  
PNGpng singlePointRes_thesisCTScanNLOn_clusterWidthVsTheta.png r1 manage 81.5 K 2021-07-04 - 14:40 StefanoRosati  
PDFpdf singlePointRes_thesisCTScanNLOnhighThresh_clusterWidthVsTheta.pdf r1 manage 15.2 K 2021-06-27 - 12:07 MauroIodice  
PNGpng singlePointRes_thesisCTScanNLOnhighThresh_clusterWidthVsTheta.png r1 manage 82.0 K 2021-07-04 - 14:18 StefanoRosati  
PDFpdf singlePointRes_thesisResolutionCT0.3Th15keNLOff_weightedResolutionTruthEvenGG_eta.pdf r1 manage 14.8 K 2021-06-27 - 12:30 MauroIodice  
PNGpng singlePointRes_thesisResolutionCT0.3Th15keNLOff_weightedResolutionTruthEvenGG_eta.png r1 manage 64.2 K 2021-07-04 - 14:18 StefanoRosati  
PDFpdf singlePointRes_thesisResolutionCT0.3Th15keNLOff_weightedResolutionTruthEvenGG_theta.pdf r1 manage 14.6 K 2021-06-27 - 12:30 MauroIodice  
PNGpng singlePointRes_thesisResolutionCT0.3Th15keNLOff_weightedResolutionTruthEvenGG_theta.png r1 manage 64.9 K 2021-07-04 - 14:18 StefanoRosati  
PDFpdf singlePointRes_thesisThresholdNLScan_clusterWidthVsTheta.pdf r1 manage 15.5 K 2021-06-27 - 11:57 MauroIodice MM Cluster size Vs Angle
PNGpng singlePointRes_thesisThresholdNLScan_clusterWidthVsTheta.png r1 manage 81.9 K 2021-07-04 - 14:18 StefanoRosati  
PDFpdf singlePointRes_thesisThresholdNLScan_driftTime.pdf r1 manage 28.7 K 2021-06-27 - 12:16 MauroIodice MM Simulation Drift time
PNGpng singlePointRes_thesisThresholdNLScan_driftTime.png r1 manage 104.6 K 2021-07-04 - 14:18 StefanoRosati  
PDFpdf singlePointRes_thesisuTPCCTTH15kScan_weightedResolutionTruthEvenGG_theta.pdf r1 manage 15.2 K 2021-06-27 - 12:41 MauroIodice MM POsition resolution with different charge sharing and different thresholds
PNGpng singlePointRes_thesisuTPCCTTH15kScan_weightedResolutionTruthEvenGG_theta.png r1 manage 76.8 K 2021-07-04 - 14:18 StefanoRosati  
PDFpdf singlePointRes_thesisuTPCCTTH15kScanonlyuTPC_chargeRatioFirstHit.pdf r1 manage 27.0 K 2021-06-27 - 12:27 MauroIodice Verification of strips charge sharing in MM (Simul)
PDFpdf singlePointRes_thesisuTPCCTTH25kScan_weightedResolutionTruthEvenGG_theta.pdf r1 manage 15.1 K 2021-06-27 - 12:41 MauroIodice MM POsition resolution with different charge sharing and different thresholds
PNGpng singlePointRes_thesisuTPCCTTH25kScan_weightedResolutionTruthEvenGG_theta.png r1 manage 75.9 K 2021-07-04 - 14:18 StefanoRosati  
PDFpdf spatial_resolution_mmsw1_layer1layer2.pdf r1 manage 18.3 K 2015-05-20 - 16:52 KonstantinosNtekas MMSW precision coordinate resolution (layer1-layer2)
PNGpng spatial_resolution_mmsw1_layer1layer2.png r1 manage 154.6 K 2015-05-21 - 18:27 KonstantinosNtekas  
PDFpdf spatial_resolution_mmsw1_layer1layer34.pdf r1 manage 18.3 K 2015-05-20 - 16:54 KonstantinosNtekas MMSW precision coordinate resolution using the stereo strips(layer1-layer34)
PNGpng spatial_resolution_mmsw1_layer1layer34.png r1 manage 151.1 K 2015-05-21 - 18:27 KonstantinosNtekas  
PDFpdf spatial_resolution_mmsw1_layer2layer34.pdf r1 manage 18.7 K 2015-05-20 - 16:54 KonstantinosNtekas MMSW precision coordinate resolution using the stereo strips (layer2-layer34)
PNGpng spatial_resolution_mmsw1_layer2layer34.png r1 manage 162.3 K 2015-05-21 - 18:27 KonstantinosNtekas  
PDFpdf spatial_resolution_mmsw1_layer34ytmm6y.pdf r1 manage 18.8 K 2015-05-20 - 16:54 KonstantinosNtekas MMSW second coordinate resolution using the stereo strips
PNGpng spatial_resolution_mmsw1_layer34ytmm6y.png r1 manage 160.3 K 2015-05-21 - 18:27 KonstantinosNtekas  
PDFpdf spatial_resolution_tmm_tmb_x.pdf r1 manage 18.0 K 2015-05-20 - 16:54 KonstantinosNtekas Micromegas resolution for Tmm chamber type (X readout)
PNGpng spatial_resolution_tmm_tmb_x.png r1 manage 172.4 K 2015-05-21 - 18:27 KonstantinosNtekas  
PDFpdf spatial_resolution_tmm_tmb_y.pdf r1 manage 17.5 K 2015-05-20 - 16:54 KonstantinosNtekas Micromegas resolution for Tmm chamber type (Y readout)
PNGpng spatial_resolution_tmm_tmb_y.png r1 manage 162.5 K 2015-05-21 - 18:27 KonstantinosNtekas  
PDFpdf spatial_resolution_utpc_beforeaftercor_atlasnsw.pdf r1 manage 14.5 K 2015-05-20 - 16:54 KonstantinosNtekas Micromegas resolution for T chamber type with utpc before and after the refinement of the method
PNGpng spatial_resolution_utpc_beforeaftercor_atlasnsw.png r1 manage 110.0 K 2015-05-21 - 18:27 KonstantinosNtekas  
PNGpng sum_pdo.png r1 manage 87.2 K 2020-04-23 - 10:09 BenoitLefebvre  
JPEGjpg test_area.jpg r1 manage 103.2 K 2020-04-23 - 10:55 BenoitLefebvre  
PDFpdf tmm2_pillars_colz.pdf r1 manage 261.6 K 2015-05-20 - 16:54 KonstantinosNtekas Micromegas efficiency map from 2d hit reconstruction (col1)
PNGpng tmm2_pillars_colz.png r1 manage 660.0 K 2015-05-21 - 18:27 KonstantinosNtekas  
PDFpdf tmm2_pillars_colz3.pdf r1 manage 816.1 K 2015-05-20 - 16:54 KonstantinosNtekas Micromegas efficiency map from 2d hit reconstruction (col2)
PNGpng tmm2_pillars_colz3.png r1 manage 1359.7 K 2015-05-21 - 18:45 KonstantinosNtekas  
PDFpdf tmm2_pillars_colz_log_newaxes.pdf r1 manage 1273.0 K 2015-05-20 - 16:54 KonstantinosNtekas Micromegas efficiency map from 2d hit reconstruction (col3)
PNGpng tmm2_pillars_colz_log_newaxes.png r1 manage 1273.8 K 2015-05-21 - 18:27 KonstantinosNtekas  
PDFpdf tmm2_pillars_scatter.pdf r1 manage 843.1 K 2015-05-20 - 16:55 KonstantinosNtekas Micromegas efficiency map from 2d hit reconstruction (scatterplot)
PDFpdf tmm_pillarseffect_centroid_perpendiculartracks_aligned.pdf r1 manage 473.1 K 2015-05-20 - 16:54 KonstantinosNtekas Micromegas effect of the pillars (bias) on the hit reconstruction
PNGpng tmm_pillarseffect_centroid_perpendiculartracks_aligned.png r1 manage 346.4 K 2015-05-21 - 18:27 KonstantinosNtekas  
PDFpdf uTPCTimeCorrectedCoreCentroid.pdf r1 manage 13.9 K 2021-06-27 - 15:06 MauroIodice SM2 M1 TEST BEAM Spatial Resolution with uTPC
PDFpdf uTPCTimeCorrectedWeightedCentroid.pdf r1 manage 13.9 K 2021-06-27 - 15:06 MauroIodice SM2 M1 TEST BEAM Spatial Resolution with uTPC
PNGpng xray_ageing.png r1 manage 80.2 K 2015-07-01 - 18:43 MarcoVanadia Micromegas ageing studies with x-rays
JPEGjpg xray_equipment.jpg r1 manage 352.4 K 2020-04-23 - 10:55 BenoitLefebvre  
PNGpng ypos_collimator.png r1 manage 233.7 K 2020-04-23 - 10:52 BenoitLefebvre  
PNGpng ypos_no_collimator.png r1 manage 301.3 K 2020-04-23 - 10:14 BenoitLefebvre  
PNGpng yrel_no_collimator.png r1 manage 136.2 K 2020-04-23 - 10:40 BenoitLefebvre  
Edit | Attach | Watch | Print version | History: r29 < r28 < r27 < r26 < r25 | Backlinks | Raw View | WYSIWYG | More topic actions
Topic revision: r29 - 2021-07-04 - StefanoRosati
 
    • Cern Search Icon Cern Search
    • TWiki Search Icon TWiki Search
    • Google Search Icon Google Search

    Atlas All webs login

This site is powered by the TWiki collaboration platform Powered by PerlCopyright & 2008-2021 by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
or Ideas, requests, problems regarding TWiki? use Discourse or Send feedback