LHC-B. 60 silicon vertex detector elements. (strips not to scale) [cm] [cm] = 1265 strips
|
|
- Carmel Richards
- 6 years ago
- Views:
Transcription
1 LHCb , TRAC November Comparison of analogue and binary read-out in the silicon strips vertex detector of LHCb. P. Koppenburg 1 Institut de Physique Nucleaire, Universite de Lausanne Abstract This note presents single hit resolutions in the LHCb silicon strip vertex detector for various read-out schemes, depending on the number of bits used in digitization. A scan of reconstruction eciencies and ghost hit rates for various signal/noise ratios is presented. More detailed results can be found on: 1 Patrick.Koppenburg@ipn.unil.ch
2 Contents 1 Introduction 2 2 Simulation Simulation of the signal read-out schemes Binary read-out Analogue read-out Digital read-out Eects of noise Resolutions Ghost hits and lost tracks Average number of hit strips Conclusions and further ideas 8 A parameter 9 1
3 LHC-B 60 silicon vertex detector elements φ strip detector r strip detector (strips not to scale) = 896 strips = 1265 strips µm 80 µm 40 µm 60 µm µm [cm] µm [cm] 6.0 Figure 1: Vertex detector elements 1 Introduction During this year, the new r? geometry [1] of the vertex detector (SMVD) was introduced and various read-out schemes presented [2]. Some additional simulations and tests were needed to make a nal decision for the Technical Proposal. This note presents some results of a simulation of the charge deposition of tracks in the silicon detector. The single-hit resolutions for various read-out schemes, depending on the number of bits used in digitization and the consequences of electronic noise from amplier and detector are discussed. 2 Simulation 2.1 Simulation of the signal The simulation is based on a simulation of the DELPHI Very Forward Tracker by Heinz Pernegger [3]. Essentially r-strips are considered in this context. The detector is described by an innite electrode plane and a plane of strips parallel to it, at a distance equal to the thickness of the detector (T = 150 m) (see gure 2). Three strip pitches of 40, 60 and 80 m, corresponding to the strip-pitches used in the SMVD r-detector planes (gure 1) are tested. Possible eects of the curvature of the r-strips are neglected. The detector is supposed to have a homogeneous electrical eld V =T where V is the full depletion voltage, set here to 50 V. A single track is simulated as a straight line in the detector plane. Since detector planes are perpendicular to the beam axis (z), in r-detectors the incidence angle is equal to the -angle of the track. A typical distribution is reproduced in gure 3. Overlapping signals from two tracks are not considered. A Landau-distributed number of electron-hole pairs is generated along the track. For low-angle ( 0) tracks, the distri- 2
4 Pitch = 40 µm z T =150 µm ds x x Track α Figure 2: Simulation of charge segments in the detector bulk Figure 3: Typical incidence angle distribution for B! events generated with SICB [4]. All forward B events are considered in the rst plot, only those with both pions in the detector acceptance in the second. 3
5 bution peaks at e (1:8 fc) 2. The path of the particle is split in 1 m long segments (called ds in gure 2). In each segment a Landau-distributed 3 number of pairs is generated. Diusion is simulated by a Gaussian displacement dx of the segment. The smearing is a function of the drift distance in z and the depletion voltage V 4. The nal signal (without any noise) of each strip is the sum of all charges within the acceptance of the strip (so 40, 60 or 80 m). No insensitive regions are considered and the complete created charge is detected. Simulation of noise At rst order, the noise distribution has a Gaussian shape [5]. Noise was simulated by adding a Gaussian distributed number to the collected signal of each strip. Throughout, all results are related to the width of this distribution. 2.2 read-out schemes The read-out schemes dier by the number of bits used in the digitization of the signal. We call binary a 1-bit digitization of the analogue signal (strip was hit or not) and digital a b-bit digitization where b is small (typically 2 or 4). In the analogue read-out scheme, the signal is considered as a real number, which is equivalent with a b-bit digitization where b is big (typically 8 or 16) Binary read-out For the binary read-out scheme, clusters of adjacent strips in which the collected charge is above a threshold T Str B are considered. The reconstructed x intercept position of the track is the geometrical center of the cluster. Figure 4 shows the RMS of the dierence between this reconstructed position and the position of the simulated track in the middle of the layer versus the track incidence angle and for strip-pitches of 40 and 80 m. One can see that this resolution is oscillating between 6:5 and 11:5 m. The maximum RMS is reached when the average number of hit strips is close to an integer n (for 40 m-strips n = 2 at 220 mrads, n = 3 at 460 mrads... See gure 7). There the number of hit strips is independent of the position and the resolution is close to pitch= p 12 = 11:55 m. The minimum is reached when the probability to hit n or n + 1 strips is identical. The number of hit strips gives then an additional information that improves the resolution Analogue read-out The analogue read-out scheme oers the possibility of an improvement in both resolutions and reconstruction eciencies. We apply a threshold T Str A on strips to form clusters and a threshold T Cl A on the total charge of the cluster. To optimize the resolution, a generalized parameter is used (see appendix A). In absence of noise, the resolution can reach 2 m for high angle tracks Digital read-out For a digital b-bit read-out scheme, the analogue value is converted to an integer number in the range [0; 2 b? 1]. Essentially 2 and 4-bit read-out are presented. Since the results for 4-bit and analogue read-out are close, there is no need to investigate larger numbers of bits. 2 This value is probably slightly under-estimated. One would rather expect 2:0 fc, hence e. This does not aect results, since only the signal/noise ratio is relevant. 3 The average value being set as the generated total number of pairs divided by the number of segments. 4 This width is about 4:7 m for the maximal drift distance of 150 m. The RMS considering all segments is 3:3 m. 4
6 Peak signal per track: RMS of noise per strip: Strip-pitch = 40 microns e 0 e Peak signal per track: RMS of noise per strip: Strip-pitch = 80 microns e 0 e RMS in microns RMS in microns analogue readout 4-bit digital readout 2-bit digital readout binary readout analogue readout 4-bit digital readout 2-bit digital readout binary readout Figure 4: Resolutions vs. pitches of 40 and 80 m. track incidence angle for various read-out schemes and strip 97/09/ /09/ Peak signal per track: e RMS of noise per strip: 600 e Strip-pitch = 40 microns Peak signal per track: e RMS of noise per strip: 1500 e Strip-pitch = 40 microns RMS in microns 8 6 RMS in microns analogue readout 4-bit digital readout 2-bit digital readout binary readout 2 analogue readout 4-bit digital readout 2-bit digital readout binary readout angle in mrads angle in mrads Figure 5: Resolutions vs. S=N 7. track incidence angle for a 40-m-pitch for S=N 18 and For 4-bit read-out, the same procedure as for analogue read-out is applied to the digital clusters, including a "digitized" parameter. For all tested noises, the optimal thresholds are found to be very close to the analogue thresholds. Throughout all 4-bit thresholds are equal to analogue thresholds. With a 2-bit read-out no ecient cluster threshold could be found and it was decided not to cut on cluster charges. The best strip-threshold was found to be equal to the binary threshold. The resolution improvement provided by 2-bit read-out in comparison to binary read-out is only due to the use of a "digitized" center-of-mass determination of the position. 5
7 Noise S=N pitch Binary Analogue [e] [m] = 0 Min Max = 0 Min Max Table 1: = 0, Minimal and maximal resolutions in m 3 Eects of noise 3.1 Resolutions Table 1 lists single-hit resolutions for various noise RMS and the considered strip-pitches. One can see that the values increase when noise increases, but the loss in resolution is not dramatic. It becomes important for high angle tracks, mainly because of poor reconstruction eciencies. Figure 5 shows resolutions for noise RMS of 600 (S=N 18) and 1500 e (S=N 7) in 40 m strips. 3.2 Ghost hits and lost tracks With noises up to 1000 e (S=N 11), it is possible to set thresholds in order to have a nearly 100% reconstruction and no ghost hits (i.e. noisy clusters above threshold). The only consequence of the thresholds is the loss in resolution discussed above. For N oise = 600 e, binary and 2-bit thresholds are set to T Str B = 2600 e (0:42 fc), while analogue and 4-bit thresholds are set to T Str A = 1100 e (strips) and T Cl A 3800 e (cluster). When noise becomes higher than 1000 e, threshold setting is a compromise between losing tracks and generating ghost hits. Figure 6 shows the percentage of reconstructed hits versus the number of ghost hits for high noises scanning various thresholds for between 0 and 200 mrads. With a binary read-out, 25 thresholds between 2000 and 6800 e were scanned, which leads to the curves shown in the rst plot. With analogue read-out, the curves show the "best" combinations of strips thresholds between 2500 and 3750 e and cluster thresholds between 3250 and 5250 e. The analogue read-out scheme always allows a slightly better noise rejection. Requiring a 98% reconstruction eciency leads to O(10) ghost hits per strips with a S=N ratio between 8 and 9. At S=N 7, this number increases to 80 and 120 for analogue and binary respectively and at S=N 6, it reaches 600 and 800 ghost hits. These numbers have to be compared with a typical number of about 340 real r-hits in channels. 6
8 97/11/ Binary readout, 40 micron strips Strip thresholds ranging from 2000 to 6800 e Ghost hits per strips Reconstructed hits 97/11/ Analogue readout, 40 micron strips Strip threshold: e Cluster threshold: e Ghost hits per strips Reconstructed hits Figure 6: Ghost hits and reconstruction eciencies for binary and analogue read-out. Each curve corresponds to a given noise. 7
9 97/10/ analogue readout binary or 2-bit digital readout Peak signal per track: RMS of noise per strip: Strip-pitch = 40 microns e 0 e 4 analogue or 4-bit digital readout binary or 2-bit digital readout mean number of strips mean number of strips Peaksignal per track: RMS of noise per strip: Strip-pitch = 40 microns e 0 e angle in mrads Figure 7: Average number of hit strips per cluster without and with noise (S=N 18). In the rst plot the thresholds are identical for all read-out schemes and the curves are superimposed. 3.3 Average number of hit strips As one can see from gure 7, the average number of strips per cluster increases with the track angle. In absence of noise, it does not depend on the read-out scheme and begins at 1.5 strips per cluster for = 0 tracks. When noise is added, the increased strip thresholds reduce the number of strips per cluster. With sensible noises, the average number of strips per hit is around 1.2 for low angle tracks at all strip-pitches. At = 400 mrad it increases to 2.1, 1.7 and 1.5 for 40, 60 and 80 m strips respectively. These values are important for the data transmission, since after zero suppression and before clustering, the total number of signals to transmit is the total number of hits times the average number of hit strips per hit. Considering all tracks in an event, this average value is around Conclusions and further ideas The simulation of the deposited charge and noise in the microstrips of the vertex detector shows that with signal/noise ratios above 7, the ghost hit rates and the fraction of lost hits stay acceptable. The analysis of the various read-out schemes show great similarities between the binary and 2-bit digital schemes on one side and the analogue and 4-bit (or more) digital schemes on the other side. The analogue (or 4-bit) read-out allows a slightly better signal-noise separation and increases single-hits resolutions by a factor 2 for large angle tracks (over 200 mrads). For low angle tracks, there is no major dierence. Finally, due to the deposition of charge on several strips, the average number of strips over threshold per hit is around 1.5. Once the LHCb GEANT simulation includes the tracking with the r? hits, the eect of the detector parameters on o-line physics analysis can be determined. For example, of crucial 8
10 importance in the B! channel is ecient reconstruction of the decay vertex ; this will depend on the cluster resolution and the detector geometry. A parameter Considering tracks that hit two strips, it is observed that due to the Gaussian smearing of the collected charge along x, the fraction of the collected charge on each strip is not a linear function of the position of the track. The quantity = P H(2) P H(1) + P H(2) is calculated where P H(1) and P H(2) are the collected charges (Pulse Heights) on the left and right strip [6, 7]. The reconstructed position of the track is considered as a polynomial function x = f(). Compared to a linear center of mass (CM) method, this improves resolutions by 1 or 2 microns. For high tracks that hit more than two strips, the procedure can easily be generalized to n strips, dening P H(n)? P H(1) n = P H(1) + : : : + P H(n) When the number of hit strips becomes higher than 4, the improvement in resolution compared to the CM method is negligible. Acknowledgments The author would like to thank Hans Dijkstra, Thomas Ruf, Jan Buytaert and Oliver Cooke for their help and suggestions and to acknowledge the CERN Vertex Trigger group for the fruitful meetings. References [1] LHCb Collaboration. Trigger and Data Acquisition System for the LHCb experiment. LHCb /LHCC. CERN/LHCC [2] Hans Muller, Jan Buytaert, Hans Dijkstra, Thomas Ruf. Vertex trigger implementation. LHCb [3] Heinz Pernegger. Reconstruction of inclined tracks with large pitch silicon strip detectors. Submitted to Nucl. Instr. and Meth., feb /afs/cern.ch/users/p/perneg/public/nim paper3.ps. [4] Andrei Tsaregorodtsev. SICB user guide, GEANT3-based simulation package for the LHCb experiment. LHCb Collaboration, june [5] Teela Marie Pulliam. Noise Studies on Silicon Microstrip Detectors. Bachelor of science thesis, University of California, Santa Cruz, jun thesis.ps. [6] Anna Peisert. Silicon microstrip detectors. In Fabio Sauli, editor, Instrumentation in High Energy Physics. World Scientic, [7] E. Belau and al. Charge collection in silicon strips detectors. Nucl. Instr. and Meth., (214),
Track Reconstruction
4 Track Reconstruction 4 Track Reconstruction The NA57 experimental setup has been designed to measure strange particles. In order to translate the information extracted from the detectors to the characteristics
More informationSimulating the RF Shield for the VELO Upgrade
LHCb-PUB-- March 7, Simulating the RF Shield for the VELO Upgrade T. Head, T. Ketel, D. Vieira. Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil European Organization for Nuclear Research
More informationBoth equations are solved using a finite differences (iterative relaxation) method, which takes some time to converge.
WEIGHTFIELD 2D Silicon Strip Detector Simulation V0.04 14 November 2011 markus.friedl@oeaw.ac.at Abstract WEIGHTFIELD is a program that allows simulating a silicon strip detector in two dimensions (crosssection).
More informationEndcap Modules for the ATLAS SemiConductor Tracker
Endcap Modules for the ATLAS SemiConductor Tracker RD3, Firenze, September 29 th, 23 Richard Nisius (MPI Munich) nisius@mppmu.mpg.de (For the ATLAS-SCT Collaboration) The plan of this presentation Introduction
More informationarxiv:hep-ph/ v1 11 Mar 2002
High Level Tracker Triggers for CMS Danek Kotliński a Andrey Starodumov b,1 a Paul Scherrer Institut, CH-5232 Villigen, Switzerland arxiv:hep-ph/0203101v1 11 Mar 2002 b INFN Sezione di Pisa, Via Livornese
More informationEUDET Telescope Geometry and Resolution Studies
EUDET EUDET Telescope Geometry and Resolution Studies A.F.Żarnecki, P.Nieżurawski February 2, 2007 Abstract Construction of EUDET pixel telescope will significantly improve the test beam infrastructure
More informationFirst Operational Experience from the LHCb Silicon Tracker
First Operational Experience from the LHCb Silicon Tracker 7 th International Hiroshima Symposium on Development and Application of Semiconductor Tracking Devices The LHCb Silicon Tracker Installation
More informationFast pattern recognition with the ATLAS L1Track trigger for the HL-LHC
Fast pattern recognition with the ATLAS L1Track trigger for the HL-LHC On behalf of the ATLAS Collaboration Uppsala Universitet E-mail: mikael.martensson@cern.ch ATL-DAQ-PROC-2016-034 09/01/2017 A fast
More informationTPC Detector Response Simulation and Track Reconstruction
TPC Detector Response Simulation and Track Reconstruction Physics goals at the Linear Collider drive the detector performance goals: charged particle track reconstruction resolution: δ(1/p)= ~ 4 x 10-5
More informationTrack reconstruction for the Mu3e experiment based on a novel Multiple Scattering fit Alexandr Kozlinskiy (Mainz, KPH) for the Mu3e collaboration
Track reconstruction for the Mu3e experiment based on a novel Multiple Scattering fit Alexandr Kozlinskiy (Mainz, KPH) for the Mu3e collaboration CTD/WIT 2017 @ LAL-Orsay Mu3e Experiment Mu3e Experiment:
More informationSimulation Study for EUDET Pixel Beam Telescope using ILC Software
Simulation Study for EUDET Pixel Beam Telescope using ILC Software Linear Collider Workshop, Hamburg, May/June 2007 Tatsiana Klimkovich DESY Tatsiana Klimkovich, Linear Collider Workshop, May/June 2007
More informationTPC Detector Response Simulation and Track Reconstruction
TPC Detector Response Simulation and Track Reconstruction Physics goals at the Linear Collider drive the detector performance goals: charged particle track reconstruction resolution: δ reconstruction efficiency:
More informationOptimisation Studies for the CLIC Vertex-Detector Geometry
CLICdp-Note04-002 4 July 204 Optimisation Studies for the CLIC Vertex-Detector Geometry Niloufar Alipour Tehrani, Philipp Roloff CERN, Switzerland, ETH Zürich, Switzerland Abstract An improved CLIC detector
More informationForward Time-of-Flight Detector Efficiency for CLAS12
Forward Time-of-Flight Detector Efficiency for CLAS12 D.S. Carman, Jefferson Laboratory ftof eff.tex May 29, 2014 Abstract This document details an absolute hit efficiency study of the FTOF panel-1a and
More informationSimulation study for the EUDET pixel beam telescope
EUDET Simulation study for the EUDET pixel beam telescope using ILC software T. Klimkovich January, 7 Abstract A pixel beam telescope which is currently under development within the EUDET collaboration
More informationA New Segment Building Algorithm for the Cathode Strip Chambers in the CMS Experiment
EPJ Web of Conferences 108, 02023 (2016) DOI: 10.1051/ epjconf/ 201610802023 C Owned by the authors, published by EDP Sciences, 2016 A New Segment Building Algorithm for the Cathode Strip Chambers in the
More informationProduction and Quality Assurance of Detector Modules for the LHCb Silicon Tracker
Production and Quality Assurance of Detector Modules for the LHCb Silicon Tracker Olaf Steinkamp for Dmytro Volyanskyy Physik-Institut der Universität Zürich 10th ICATPP Conference on Astroparticle, Particle,
More informationMIP Reconstruction Techniques and Minimum Spanning Tree Clustering
SLAC-PUB-11359 July 25 MIP Reconstruction Techniques and Minimum Spanning Tree Clustering Wolfgang F. Mader The University of Iowa, 23 Van Allen Hall, 52242 Iowa City, IA The development of a tracking
More informationTPC Detector Response Simulation and Track Reconstruction
TPC Detector Response Simulation and Track Reconstruction Physics goals at the Linear Collider drive the detector performance goals: charged particle track reconstruction resolution: δ reconstruction efficiency:
More informationTrack reconstruction of real cosmic muon events with CMS tracker detector
Track reconstruction of real cosmic muon events with CMS tracker detector Piergiulio Lenzi a, Chiara Genta a, Boris Mangano b a Università degli Studi di Firenze and Istituto Nazionale di Fisica Nucleare
More informationPerformance of the ATLAS Inner Detector at the LHC
Performance of the ALAS Inner Detector at the LHC hijs Cornelissen for the ALAS Collaboration Bergische Universität Wuppertal, Gaußstraße 2, 4297 Wuppertal, Germany E-mail: thijs.cornelissen@cern.ch Abstract.
More informationTopics for the TKR Software Review Tracy Usher, Leon Rochester
Topics for the TKR Software Review Tracy Usher, Leon Rochester Progress in reconstruction Reconstruction short-term plans Simulation Calibration issues Balloon-specific support Personnel and Schedule TKR
More informationarxiv:physics/ v1 [physics.ins-det] 18 Dec 1998
Studies of 1 µm-thick silicon strip detector with analog VLSI readout arxiv:physics/981234v1 [physics.ins-det] 18 Dec 1998 T. Hotta a,1, M. Fujiwara a, T. Kinashi b, Y. Kuno c, M. Kuss a,2, T. Matsumura
More informationTPC digitization and track reconstruction: efficiency dependence on noise
TPC digitization and track reconstruction: efficiency dependence on noise Daniel Peterson, Cornell University, DESY, May-2007 A study of track reconstruction efficiency in a TPC using simulation of the
More informationIntegrated CMOS sensor technologies for the CLIC tracker
Integrated CMOS sensor technologies for the CLIC tracker Magdalena Munker (CERN, University of Bonn) On behalf of the collaboration International Conference on Technology and Instrumentation in Particle
More informationFirst results from the LHCb Vertex Locator
First results from the LHCb Vertex Locator Act 1: LHCb Intro. Act 2: Velo Design Dec. 2009 Act 3: Initial Performance Chris Parkes for LHCb VELO group Vienna Conference 2010 2 Introducing LHCb LHCb is
More informationMuon Reconstruction and Identification in CMS
Muon Reconstruction and Identification in CMS Marcin Konecki Institute of Experimental Physics, University of Warsaw, Poland E-mail: marcin.konecki@gmail.com An event reconstruction at LHC is a challenging
More informationEvent reconstruction in STAR
Chapter 4 Event reconstruction in STAR 4.1 Data aquisition and trigger The STAR data aquisition system (DAQ) [54] receives the input from multiple detectors at different readout rates. The typical recorded
More informationPerformance of the GlueX Detector Systems
Performance of the GlueX Detector Systems GlueX-doc-2775 Gluex Collaboration August 215 Abstract This document summarizes the status of calibration and performance of the GlueX detector as of summer 215.
More informationGEANT4 is used for simulating: RICH testbeam data, HCAL testbeam data. GAUSS Project: LHCb Simulation using GEANT4 with GAUDI.
Status of GEANT4 in LHCb S. Easo, RAL, 30-9-2002 The LHCbexperiment. GEANT4 is used for simulating: RICH testbeam data, HCAL testbeam data. GAUSS Project: LHCb Simulation using GEANT4 with GAUDI. Summary.
More informationPATHFINDER A track finding package based on Hough transformation
LC-TOOL-2014-003 http://www-flc.desy.de/lcnotes PATHFINDER A track finding package based on Hough transformation Isa Heinze DESY, Hamburg February 24, 2014 Abstract PATHFINDER is a package which provides
More informationDetermination of the aperture of the LHCb VELO RF foil
LHCb-PUB-214-12 April 1, 214 Determination of the aperture of the LHCb VELO RF foil M. Ferro-Luzzi 1, T. Latham 2, C. Wallace 2. 1 CERN, Geneva, Switzerland 2 University of Warwick, United Kingdom LHCb-PUB-214-12
More informationCMS Conference Report
Available on CMS information server CMS CR 2005/021 CMS Conference Report 29 Septemebr 2005 Track and Vertex Reconstruction with the CMS Detector at LHC S. Cucciarelli CERN, Geneva, Switzerland Abstract
More informationQuad Module Hybrid Development for the ATLAS Pixel Layer Upgrade
Quad Module Hybrid Development for the ATLAS Pixel Layer Upgrade Lawrence Berkeley National Lab E-mail: kedunne@lbl.gov Maurice Garcia-Sciveres, Timon Heim Lawrence Berkeley National Lab, Berkeley, USA
More informationGridpix: TPC development on the right track. The development and characterisation of a TPC with a CMOS pixel chip read out Fransen, M.
UvA-DARE (Digital Academic Repository) Gridpix: TPC development on the right track. The development and characterisation of a TPC with a CMOS pixel chip read out Fransen, M. Link to publication Citation
More informationThe CBM sensor digitizer
The CBM sensor digitizer C.Dritsa IKF-Frankfurt, IPHC-Strasbourg (now at JLU Giessen) C.Dritsa, St.Odile, 08 September 2011 1 Outline Motivation Model requirements Description of the model Important definitions
More information8.882 LHC Physics. Track Reconstruction and Fitting. [Lecture 8, March 2, 2009] Experimental Methods and Measurements
8.882 LHC Physics Experimental Methods and Measurements Track Reconstruction and Fitting [Lecture 8, March 2, 2009] Organizational Issues Due days for the documented analyses project 1 is due March 12
More informationATLAS ITk Layout Design and Optimisation
ATLAS ITk Layout Design and Optimisation Noemi Calace noemi.calace@cern.ch On behalf of the ATLAS Collaboration 3rd ECFA High Luminosity LHC Experiments Workshop 3-6 October 2016 Aix-Les-Bains Overview
More informationThe Trajectory Model for Track Fitting and Alignment
LHCb Note 2007-008 TRACKING The Trajectory Model for Track Fitting and Alignment E. Bos 1, M. Merk 1, G. Raven 1, E. Rodrigues 1, J. van Tilburg 2 1 NIKHEF, Amsterdam, The Netherlands, 2 University of
More informationAnalogue, Digital and Semi-Digital Energy Reconstruction in the CALICE AHCAL
Analogue, Digital and Semi-Digital Energy Reconstruction in the AHCAL Deutsches Elektronen Synchrotron (DESY), Hamburg, Germany E-mail: coralie.neubueser@desy.de Within the collaboration different calorimeter
More informationThe Phase-2 ATLAS ITk Pixel Upgrade
The Phase-2 ATLAS ITk Pixel Upgrade T. Flick (University of Wuppertal) - on behalf of the ATLAS collaboration 14th Topical Seminar on Innovative Particle and Radiation Detectors () 03.-06. October 2016
More information1 Introduction The challenges in tracking charged particles in the HERA-B experiment [5] arise mainly from the huge track density, the high cell occup
Hera-B 99{111 Software 99{16 ranger { a Pattern Recognition Algorithm for the HERA-B Main Tracking System Part V: Compatibility Analysis Rainer Mankel 1 Institut fur Physik, Humboldt Universitat zu Berlin
More informationarxiv:hep-ex/ v1 24 Jun 1994
MULTIPLE SCATTERING ERROR PROPAGATION IN PARTICLE TRACK RECONSTRUCTION M. Penţia, G. Iorgovan INSTITUTE OF ATOMIC PHYSICS RO-76900 P.O.Box MG-6, Bucharest, ROMANIA e-mail: pentia@roifa.bitnet arxiv:hep-ex/9406006v1
More informationHLT Hadronic L0 Confirmation Matching VeLo tracks to L0 HCAL objects
LHCb Note 26-4, TRIG LPHE Note 26-14 July 5, 26 HLT Hadronic L Confirmation Matching VeLo tracks to L HCAL objects N. Zwahlen 1 LPHE, EPFL Abstract This note describes the HltHadAlleyMatchCalo tool that
More informationStatus of the TORCH time-of-flight detector
Status of the TORCH time-of-flight detector Neville Harnew University of Oxford (On behalf of the TORCH collaboration : the Universities of Bath, Bristol and Oxford, CERN, and Photek) August 7-9, 2017
More informationDetector Alignment with Tracks. Wouter Hulsbergen (Nikhef, BFYS)
Detector Alignment with Tracks Wouter Hulsbergen (Nikhef, BFYS) Detector alignment LHC silicon detectors provide
More informationTracking and Vertex reconstruction at LHCb for Run II
Tracking and Vertex reconstruction at LHCb for Run II Hang Yin Central China Normal University On behalf of LHCb Collaboration The fifth Annual Conference on Large Hadron Collider Physics, Shanghai, China
More informationMonte Carlo programs
Monte Carlo programs Alexander Khanov PHYS6260: Experimental Methods is HEP Oklahoma State University November 15, 2017 Simulation steps: event generator Input = data cards (program options) this is the
More informationPerformance of FPCCD vertex detector. T. Nagamine Tohoku University Feb 6, 2007 ACFA 9, IHEP,Beijin
Performance of FPCCD vertex detector T. Nagamine Tohoku University Feb 6, 27 ACFA 9, IHEP,Beijin Outline FPCCD and Vertex Detector Structure Impact Parameter Resolution Pair Background in Vertex Detector
More informationCLEO III Cathode Hit Calibration
CLEO III Cathode Hit Calibration Dawn K. Isabel Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI, 48202 Abstract The drift chamber cathodes for CLEO III are located
More informationCharged Particle Reconstruction in HIC Detectors
Charged Particle Reconstruction in HIC Detectors Ralf-Arno Tripolt, Qiyan Li [http://de.wikipedia.org/wiki/marienburg_(mosel)] H-QM Lecture Week on Introduction to Heavy Ion Physics Kloster Marienburg/Mosel,
More informationThe CMS Tracker Laser Alignment System
The CMS Tracker Laser Alignment System B.Wittmer, I. Physikalishes Institut RWTH Aachen on behalf of the CMS Tracker collaboration Vertex 9 Workshop, Putten (NL) 1 Outline Working Principle and Layout
More informationWork in Tbilisi. David Mchedlishvili (SMART EDM_lab of TSU) GGSWBS , Tbilisi. Shota Rustaveli National Science Foundation
Mitglied der Helmholtz-Gemeinschaft David Mchedlishvili (SMART EDM_lab of TSU) Work in Tbilisi GGSWBS 18 23.08.2018, Tbilisi JEDI: Charged-Particle EDM Search Main principle: Inject polarized particles
More informationSimulation of Internal Backscatter Effects on MTF and SNR of Pixelated Photon-counting Detectors
Simulation of Internal Backscatter Effects on MTF and SNR of Pixelated Photon-counting Detectors Alexander Korn, Juergen Giersch a and Martin Hoheisel b a Physikalisches Institut Universitaet Erlangen-Nuernberg,
More informationThe Compact Muon Solenoid Experiment. Conference Report. Mailing address: CMS CERN, CH-1211 GENEVA 23, Switzerland
Available on CMS information server CMS CR -2008/100 The Compact Muon Solenoid Experiment Conference Report Mailing address: CMS CERN, CH-1211 GENEVA 23, Switzerland 02 December 2008 (v2, 03 December 2008)
More informationAdding timing to the VELO
Summer student project report: Adding timing to the VELO supervisor: Mark Williams Biljana Mitreska Cern Summer Student Internship from June 12 to August 4, 2017 Acknowledgements I would like to thank
More informationPoS(High-pT physics09)036
Triggering on Jets and D 0 in HLT at ALICE 1 University of Bergen Allegaten 55, 5007 Bergen, Norway E-mail: st05886@alf.uib.no The High Level Trigger (HLT) of the ALICE experiment is designed to perform
More informationPoS(ACAT)049. Alignment of the ATLAS Inner Detector. Roland Haertel Max-Planck-Institut für Physik, Munich, Germany
Max-Planck-Institut für Physik, Munich, Germany E-mail: haertel@mppmu.mpg.de The ATLAS experiment at the LHC is currently under construction at CERN and will start operation in summer 2008. The Inner Detector
More informationFull Simulation of Belle & Belle II SVD Detector (within ILC Framework)
Full Simulation of Belle & Belle II SVD Detector (within ILC Framework) Z. Drásal Charles University in Prague ILC Software Framework Summary Mokka: Geant 4 based, full simulation tool using a realistic
More informationThe LHCb VERTEX LOCATOR performance and VERTEX LOCATOR upgrade
Journal of Instrumentation OPEN ACCESS The LHCb VERTEX LOCATOR performance and VERTEX LOCATOR upgrade To cite this article: P Rodríguez Pérez Related content - Upgrade of the LHCb Vertex Locator A Leflat
More informationAlignment of the CMS Silicon Tracker
Alignment of the CMS Silicon Tracker Tapio Lampén 1 on behalf of the CMS collaboration 1 Helsinki Institute of Physics, Helsinki, Finland Tapio.Lampen @ cern.ch 16.5.2013 ACAT2013 Beijing, China page 1
More informationValidation of the front-end electronics and firmware for LHCb vertex locator.
Validation of the front-end electronics and firmware for LHCb vertex locator. Antonio Fernández Prieto Universidade de santiago de compostela, Spain E-mail: antonio.fernandez.prieto@cern.ch Pablo Vázquez
More informationReal-time Analysis with the ALICE High Level Trigger.
Real-time Analysis with the ALICE High Level Trigger C. Loizides 1,3, V.Lindenstruth 2, D.Röhrich 3, B.Skaali 4, T.Steinbeck 2, R. Stock 1, H. TilsnerK.Ullaland 3, A.Vestbø 3 and T.Vik 4 for the ALICE
More informationTORCH: A large-area detector for precision time-of-flight measurements at LHCb
TORCH: A large-area detector for precision time-of-flight measurements at LHCb Neville Harnew University of Oxford ON BEHALF OF THE LHCb RICH/TORCH COLLABORATION Outline The LHCb upgrade TORCH concept
More informationTrack reconstruction with the CMS tracking detector
Track reconstruction with the CMS tracking detector B. Mangano (University of California, San Diego) & O.Gutsche (Fermi National Accelerator Laboratory) Overview The challenges The detector Track reconstruction
More informationRealistic simulation of CCD response. By Nick Sinev (University of Oregon)
Realistic simulation of CCD response By Nick Sinev (University of Oregon) Plan Mechanism of CCD signal generation How to simulate it Some data from SLD VXD3 Toy simulation data comparison Mechanism of
More informationPrimEx Trigger Simultation Study D. Lawrence Mar. 2002
PRIMEX NOTE 6 PrimEx Trigger Simultation Study D. Lawrence Mar. 2002 Introduction This documents describes a Monte Carlo simulation study for the PrimEx o experiment. The study focused on determining trigger
More informationOptimization of thin n-in-p planar pixel modules for the ATLAS upgrade at HL-LHC arxiv: v1 [physics.ins-det] 12 Jan 2017
Prepared for submission to JINST 8th International Workshop on Semiconductor Pixel Detectors for Particles and Imaging. 5-9 September 26 Sestri Levante Optimization of thin n-in-p planar pixel modules
More informationπ ± Charge Exchange Cross Section on Liquid Argon
π ± Charge Exchange Cross Section on Liquid Argon Kevin Nelson REU Program, College of William and Mary Mike Kordosky College of William and Mary, Physics Dept. August 5, 2016 Abstract The observation
More informationD&S Technical Note 09-2 D&S A Proposed Correction to Reflectance Measurements of Profiled Surfaces. Introduction
Devices & Services Company 10290 Monroe Drive, Suite 202 - Dallas, Texas 75229 USA - Tel. 214-902-8337 - Fax 214-902-8303 Web: www.devicesandservices.com Email: sales@devicesandservices.com D&S Technical
More informationAtlantis: Visualization Tool in Particle Physics
Atlantis: Visualization Tool in Particle Physics F.J.G.H. Crijns 2, H. Drevermann 1, J.G. Drohan 3, E. Jansen 2, P.F. Klok 2, N. Konstantinidis 3, Z. Maxa 3, D. Petrusca 1, G. Taylor 4, C. Timmermans 2
More informationThe performance of the ATLAS Inner Detector Trigger Algorithms in pp collisions at the LHC
X11 opical Seminar IPRD, Siena - 7- th June 20 he performance of the ALAS Inner Detector rigger Algorithms in pp collisions at the LHC Mark Sutton University of Sheffield on behalf of the ALAS Collaboration
More informationTPC tracking and particle identification in high-density environment
TPC tracking and particle identification in high-density environment Y.Belikov, M.Ivanov, K.Safarik CERN, Switzerland J.Bracinik Comenius University, Bratislava Track finding and fitting algorithm in the
More informationDesign of the new ATLAS Inner Tracker (ITk) for the High Luminosity LHC
Design of the new ATLAS Inner Tracker (ITk) for the High Luminosity LHC Jike Wang (DESY) for the ATLAS Collaboration May/2017, TIPP 2017 LHC Machine Schedule In year 2015, ATLAS and CMS went into Run2
More informationPhysics CMS Muon High Level Trigger: Level 3 reconstruction algorithm development and optimization
Scientifica Acta 2, No. 2, 74 79 (28) Physics CMS Muon High Level Trigger: Level 3 reconstruction algorithm development and optimization Alessandro Grelli Dipartimento di Fisica Nucleare e Teorica, Università
More informationPerformance studies of the Roman Pot timing detectors in the forward region of the IP5 at LHC
TOTEM NOTE 2014 001 August 1, 2014 Performance studies of the Roman Pot timing detectors in the forward region of the IP5 at LHC M. Berretti (CERN) Abstract CERN-TOTEM-NOTE-2014-001 01/08/2014 The detection
More informationUpdated impact parameter resolutions of the ATLAS Inner Detector
Updated impact parameter resolutions of the ATLAS Inner Detector ATLAS Internal Note Inner Detector 27.09.2000 ATL-INDET-2000-020 06/10/2000 Szymon Gadomski, CERN 1 Abstract The layout of the ATLAS pixel
More informationThe Compact Muon Solenoid Experiment. CMS Note. Mailing address: CMS CERN, CH-1211 GENEVA 23, Switzerland
Available on CMS information server CMS NOTE 998/4 The Compact Muon Solenoid Experiment CMS Note Mailing address: CMS CERN, CH-2 GENEVA 23, Switzerland 29 July 998 Muon DTBX Chamber Trigger Simulation
More informationAnode Electronics Crosstalk on the ME 234/2 Chamber
Anode Electronics Crosstalk on the ME 234/2 Chamber Nikolay Bondar, Sergei Dolinsky, Nikolay Terentiev August 2002 Introduction An anode crosstalk probability higher than the allowed limit of 5% was observed
More informationParameterization of the LHCb magnetic field map
Parameterization of the LHCb magnetic field map Adlène Hicheur, Géraldine Conti Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland E-mail: Adlene.Hicheur@cern.ch,geraldine.conti@epfl.ch Abstract.
More informationSLAC Testbeam Data Analysis: High Occupancy Tracking & FE-I4 Cluster Study
SLAC Testbeam Data Analysis: High Occupancy Tracking & FE-I4 Cluster Study DESY Summer Student Project 2014 Martin Klassen, University of Heidelberg, Germany September 27, 2014 Abstract In this report
More informationTracking and flavour tagging selection in the ATLAS High Level Trigger
Tracking and flavour tagging selection in the ATLAS High Level Trigger University of Pisa and INFN E-mail: milene.calvetti@cern.ch In high-energy physics experiments, track based selection in the online
More informationTHE ATLAS INNER DETECTOR OPERATION, DATA QUALITY AND TRACKING PERFORMANCE.
Proceedings of the PIC 2012, Štrbské Pleso, Slovakia THE ATLAS INNER DETECTOR OPERATION, DATA QUALITY AND TRACKING PERFORMANCE. E.STANECKA, ON BEHALF OF THE ATLAS COLLABORATION Institute of Nuclear Physics
More informationATLAS, CMS and LHCb Trigger systems for flavour physics
ATLAS, CMS and LHCb Trigger systems for flavour physics Università degli Studi di Bologna and INFN E-mail: guiducci@bo.infn.it The trigger systems of the LHC detectors play a crucial role in determining
More informationModelling of non-gaussian tails of multiple Coulomb scattering in track fitting with a Gaussian-sum filter
Modelling of non-gaussian tails of multiple Coulomb scattering in track fitting with a Gaussian-sum filter A. Strandlie and J. Wroldsen Gjøvik University College, Norway Outline Introduction A Gaussian-sum
More informationPrimary Vertex Reconstruction at LHCb
LHCb-PUB-214-44 October 21, 214 Primary Vertex Reconstruction at LHCb M. Kucharczyk 1,2, P. Morawski 3, M. Witek 1. 1 Henryk Niewodniczanski Institute of Nuclear Physics PAN, Krakow, Poland 2 Sezione INFN
More informationTime and position resolution of high granularity, high counting rate MRPC for the inner zone of the CBM-TOF wall
Time and position resolution of high granularity, high counting rate MRPC for the inner zone of the CBM-TOF wall M. Petris, D. Bartos, G. Caragheorgheopol, M. Petrovici, L. Radulescu, V. Simion IFIN-HH
More informationBeam test measurements of the Belle II vertex detector modules
Beam test measurements of the Belle II vertex detector modules Tadeas Bilka Charles University, Prague on behalf of the Belle II Collaboration IPRD 2016, 3 6 October 2016, Siena, Italy Outline Belle II
More informationG4beamline Simulations for H8
G4beamline Simulations for H8 Author: Freja Thoresen EN-MEF-LE, Univ. of Copenhagen & CERN Supervisor: Nikolaos Charitonidis CERN (Dated: December 15, 2015) Electronic address: frejathoresen@gmail.com
More informationAPV-25 based readout electronics for the SBS front GEM Tracker
APV-25 based readout electronics for the SBS front GEM Tracker Authors: Evaristo Cisbani, Paolo Musico Date: 26/June/2014 Version: 1.0 APV-25 based readout electronics for the SBS front GEM Tracker...
More informationSoLID GEM Detectors in US
SoLID GEM Detectors in US Kondo Gnanvo University of Virginia SoLID Collaboration Meeting @ JLab, 08/26/2016 Outline Design Optimization U-V strips readout design Large GEMs for PRad in Hall B Requirements
More informationInterpolating Silicon Photomultipliers
Interpolating Silicon Photomultipliers Peter Fischer, Heidelberg University, Germany (Presenter) Claudio Piemonte, FBK, Italy We present the novel Interpolating Silicon PhotoMultiplier (ISiPM) topology
More informationUpgraded Swimmer for Computationally Efficient Particle Tracking for Jefferson Lab s CLAS12 Spectrometer
Upgraded Swimmer for Computationally Efficient Particle Tracking for Jefferson Lab s CLAS12 Spectrometer Lydia Lorenti Advisor: David Heddle April 29, 2018 Abstract The CLAS12 spectrometer at Jefferson
More informationElectron and Photon Reconstruction and Identification with the ATLAS Detector
Electron and Photon Reconstruction and Identification with the ATLAS Detector IPRD10 S12 Calorimetry 7th-10th June 2010 Siena, Italy Marine Kuna (CPPM/IN2P3 Univ. de la Méditerranée) on behalf of the ATLAS
More informationGLAST tracking reconstruction Status Report
GLAST collaboration meeting, UCSC June 22-24 1999 GLAST tracking reconstruction Status Report Bill Atwood, Jose A. Hernando, Robert P. Johnson, Hartmut Sadrozinski Naomi Cotton, Dennis Melton University
More informationThe CMS alignment challenge
The CMS alignment challenge M. Weber a for the CMS Collaboration a I. Physikalisches Institut B, RWTH Aachen, Germany Abstract The CMS tracking detectors are of unprecedented complexity: 66 million pixel
More informationAlignment of the CMS silicon tracker using Millepede II
Journal of Physics: Conference Series Alignment of the CMS silicon tracker using Millepede II To cite this article: Peter Schleper et al 2008 J. Phys.: Conf. Ser. 119 032040 Related content - CMS silicon
More informationSUPPLEMENTARY FILE S1: 3D AIRWAY TUBE RECONSTRUCTION AND CELL-BASED MECHANICAL MODEL. RELATED TO FIGURE 1, FIGURE 7, AND STAR METHODS.
SUPPLEMENTARY FILE S1: 3D AIRWAY TUBE RECONSTRUCTION AND CELL-BASED MECHANICAL MODEL. RELATED TO FIGURE 1, FIGURE 7, AND STAR METHODS. 1. 3D AIRWAY TUBE RECONSTRUCTION. RELATED TO FIGURE 1 AND STAR METHODS
More informationSimulation studies for design of pellet tracking systems
Simulation studies for design of pellet tracking systems A. Pyszniak 1,2, H. Calén 1, K. Fransson 1, M. Jacewicz 1, T. Johansson 1, Z. Rudy 2 1 Department of Physics and Astronomy, Uppsala University,
More informationb-jet identification at High Level Trigger in CMS
Journal of Physics: Conference Series PAPER OPEN ACCESS b-jet identification at High Level Trigger in CMS To cite this article: Eric Chabert 2015 J. Phys.: Conf. Ser. 608 012041 View the article online
More information