NA62 Gigatracker Working Group 28 July 2009 Massimiliano Fiorini CERN.

Slides:



Advertisements
Similar presentations
A. Kluge January 25, Aug 27, 2012 Outline NA62 NA62 Specifications Specifications Architecture Architecture A. Kluge2.
Advertisements

M. Ruspa - FP420 meeting, DESY 18/05/06 1 G4 simulation: where are we? Marta Ruspa on behalf of Alexander Zokhin FP420 Collaboration Meeting DESY 18 th.
LHCf: a LHC Detector for Astroparticle Physics LHCf: a LHC Detector for Astroparticle Physics Lorenzo Bonechi on behalf of the LHCf Collaboration * University.
Introduction to Hadronic Final State Reconstruction in Collider Experiments Introduction to Hadronic Final State Reconstruction in Collider Experiments.
November 30th, 2006MAPS meeting - Anne-Marie Magnan - Imperial College London 1 MAPS simulation Application of charge diffusion on Geant4 simulation and.
Status of MAPS Geometry Simulation Yoshinari Mikami University of Birmingham 17th MAY 2006 MAPS Meeting at Rutherford Appleton Laboratory.
October 20th, 2006 A. Mazzacane 1 4 th Concept Software First Results.
TB & Simulation results Jose E. Garcia & M. Vos. Introduction SCT Week – March 03 Jose E. Garcia TB & Simulation results Simulation results Inner detector.
Jianchun Wang Marina Artuso Syracuse University 11/06/00 MC Simulation of Silicon Pixel Detector.
Possible measurements with crystals in NA Test of single crystals for the SPS and LHC beam collimation.
Michele Faucci Giannelli TILC09, Tsukuba, 18 April 2009 SiW Electromagnetic Calorimeter Testbeam results.
Evaluation of G4 Releases in CMS (Sub-detector Studies) Software used Electrons in Tracker Photons in the Electromagnetic Calorimeter Pions in the Calorimeter.
NA62 Gigatracker Working Group Meeting 2 February 2010 Massimiliano Fiorini CERN.
STS Simulations Anna Kotynia 15 th CBM Collaboration Meeting April , 2010, GSI 1.
SuperNEMO Simulations Darren Price University of Manchester July, 2005.
GEANT Study of Electron ID and  0 Rejection for Containerized detectors Compare detectors in shipping containers to idealized continuous detector with.
Monte Carlo Comparison of RPCs and Liquid Scintillator R. Ray 5/14/04  RPCs with 1-dimensional readout (generated by RR) and liquid scintillator with.
SPiDeR  SPIDER DECAL SPIDER Digital calorimetry TPAC –Deep Pwell DECAL Future beam tests Wishlist J.J. Velthuis for the.
15 Dec 2010 CERN Sept 2010 beam test: Sensor response study Chris Walmsley and Sam Leveridge (presented by Paul Dauncey) 1Paul Dauncey.
1 Realistic top Quark Reconstruction for Vertex Detector Optimisation Talini Pinto Jayawardena (RAL) Kristian Harder (RAL) LCFI Collaboration Meeting 23/09/08.
LAV Software Status Emanuele Leonardi – Tommaso Spadaro Photon Veto WG meeting – 2015/03/24.
Munich-Centre for Advanced Photonics A pixel detector system for laser-accelerated ion detection Sabine Reinhardt Fakultät für Physik, Ludwig-Maximilians-Universität.
ACTAR meeting - Dec 10th 2008Hervé Savajols (GANIL) Tracking Algorithms Hervé Savajols & Thomas Roger (GANIL) Wolfgang Mittig (MSU) …
Simulation of the energy response of  rays in CsI crystal arrays Thomas ZERGUERRAS EXL-R3B Collaboration Meeting, Orsay (France), 02/02/ /03/2006.
Design and development of micro-strip stacked module prototypes for tracking at S-LHC Motivations Tracking detectors at future hadron colliders will operate.
26 Apr 2009Paul Dauncey1 Digital ECAL: Lecture 1 Paul Dauncey Imperial College London.
NA62 Gigatracker Working Group Meeting 23 March 2010 Massimiliano Fiorini CERN.
1 Performance of a Magnetised Scintillating Detector for a Neutrino Factory Scoping Study Meeting Rutherford Appleton Lab Tuesday 25 th April 2006 M. Ellis.
G. BrunoOffline week - February Comparison between test- beam data and the SPD simulations in Aliroot G. Bruno, R. Santoro Outline:  strategy of.
26 Apr 2009Paul Dauncey1 Digital ECAL: Lecture 2 Paul Dauncey Imperial College London.
1ECFA/Vienna 16/11/05D.R. Ward David Ward Compare these test beam data with Geant4 and Geant3 Monte Carlos. CALICE has tested an (incomplete) prototype.
PIXEL Slow Simulation Xin Li 3/16/2008. CMOS Active Pixel Sensor (APS) Epitaxy is a kind of interface between a thin film and a substrate. The term epitaxy.
Evgeny Kryshen (PNPI) Mikhail Ryzhinskiy (SPbSPU) Vladimir Nikulin (PNPI) Detailed geometry of MUCH detector in cbmroot Outline Motivation Realistic module.
26 Apr 2009Paul Dauncey1 Digital ECAL: Lecture 3 Paul Dauncey, Imperial College London.
Digitization and hit reconstruction for Silicon Tracker in MarlinReco Sergey Shulga, Tatiana Ilicheva JINR, Dubna, Russia GSU, Gomel, Belarus LCWS07 30.
A. SarratTPC jamboree, Aachen, 14/03/07 1 Full Monte Carlo of a TPC equipped with Micromegas Antony Sarrat CEA Saclay, Dapnia Motivation Simulation content.
M. Deveaux, CBM-Collaboration-Meeting, 25 – 28. Feb 2008, GSI-Darmstadt Considerations on the material budget of the CBM Micro Vertex Detector. Outline:
August 26, 2003P. Nilsson, SPD Group Meeting1 Paul Nilsson, SPD Group Meeting, August 26, 2003 Test Beam 2002 Pixel Response Simulation: Update Jan Conrad.
CBM-Meet, VECC July 21, Premomoy Ghosh CBM – MUCH Simulation for Low-mass Vector Meson Work done at GSI during June 2006.
1 Nick Sinev, ALCPG March 2011, Eugene, Oregon Investigation into Vertex Detector Resolution N. B. Sinev University of Oregon, Eugene.
T. Lari – INFN Milan Status of ATLAS Pixel Test beam simulation Status of the validation studies with test-beam data of the Geant4 simulation and Pixel.
D 0 reconstruction: 15 AGeV – 25 AGeV – 35 AGeV M.Deveaux, C.Dritsa, F.Rami IPHC Strasbourg / GSI Darmstadt Outline Motivation Simulation Tools Results.
Lucia Bortko | Optimisation Studies for the BeamCal Design | | IFJ PAN Krakow | Page 1/16 Optimisation Studies for the BeamCal Design Lucia.
1 Performance of a Magnetised Scintillating Detector for a Neutrino Factory Scoping Study Meeting U.C. Irvine Monday 21 st August 2006 M. Ellis & A. Bross.
J. Alozy, S. George, F.Murtas, M. Silari 1 CERN GEMPIX detectors as hadron therapy beam monitors and radioactive waste detectors GEMPIX construction.
Progress Report on GEANT Study of Containerized Detectors R. Ray 7/11/03 What’s New Since Last Time?  More detailed container description in GEANT o Slightly.
Electron Spectrometer: Status July 14 Simon Jolly, Lawrence Deacon 1 st July 2014.
1 Giuseppe G. Daquino 26 th January 2005 SoFTware Development for Experiments Group Physics Department, CERN Background radiation studies using Geant4.
Villa Olmo, Como October 2001F.Giordano1 SiTRD R & D The Silicon-TRD: Beam Test Results M.Brigida a, C.Favuzzi a, P.Fusco a, F.Gargano a, N.Giglietto.
P.F.Ermolov SVD-2 status and experimental program VHMP 16 April 2005 SVD-2 status and experimental program 1.SVD history 2.SVD-2 setup 3.Experiment characteristics.
A. SarratILC TPC meeting, DESY, 15/02/06 Simulation Of a TPC For T2K Near Detector Using Geant 4 Antony Sarrat CEA Saclay, Dapnia.
Introduction to Hadronic Final State Reconstruction in Collider Experiments Introduction to Hadronic Final State Reconstruction in Collider Experiments.
CdTe prototype detector testing Anja Schubert The University of Melbourne 9 May 2011 Updates.
NA62 Collaboration Meeting – Anacapri 1 September 2009 Massimiliano Fiorini CERN.
FCAL Krakow meeting, 6. May LumiCal concept including the tracker R. Ingbir, P.Růžička, V. Vrba.
CMOS Pixels Sensor Simulation Preliminary Results and Plans M. Battaglia UC Berkeley and LBNL Thanks to A. Raspereza, D. Contarato, F. Gaede, A. Besson,
FP-CCD GLD VERTEX GROUP Presenting by Tadashi Nagamine Tohoku University ILC VTX Ringberg Castle, May 2006.
Mitglied der Helmholtz-Gemeinschaft Hit Reconstruction for the Luminosity Monitor March 3 rd 2009 | T. Randriamalala, J. Ritman and T. Stockmanns.
Manoj B. Jadhav Supervisor Prof. Raghava Varma I.I.T. Bombay PANDA Collaboration Meeting, PARIS – September 11, 2012.
Sensors Pixel dimension 300 x 300 μm2 Standard p-in-n sensors
by students Rozhkov G.V. Khalikov E.V. scientific adviser Iyudin A.F.
Huagen Xu IKP: T. Randriamalala, J. Ritman and T. Stockmanns
The Status of the Data Analysis of the Beam Test at FZJ
Sensor Wafer: Final Layout
Update on GEp GEM Background Rates
Testbeam comparisons arXiv:
5% The CMS all silicon tracker simulation
GEANT Simulations and Track Reconstruction
Reports for highly granular hadron calorimeter using software compensation techniques Bing Liu SJTU February 25, 2019.
Beam Test Results for the CMS Forward Pixel Detector
Presentation transcript:

NA62 Gigatracker Working Group 28 July 2009 Massimiliano Fiorini CERN

Software NA62 MonteCarlo fast simulation of the beam line based on Flyo called by Geant4 to generate primary particles beam particle passed to Geant4 at a given position along the beam line default: beam track passed just in front of the 1 st Gigatracker station only Gigatracker enabled: all other detectors excluded 3×10 6 events generated with two different “range cuts” for electrons in silicon: 1 st case: 1 mm (corresponds to 541 keV) 2 nd case: 1  m (corresponds to 990 eV) numbers and plots refer only to 1 st Gigatracker station

Beam Spectrometer Layout pπpπ pKpK pυpυ pυpυ θ πK 13.2 m9.6 m 60 mm GTK2 GTK3 GTK1 2 nd achromat 3 Gigatracker (GTK) stations: 60 mm × 27 mm dimension 300  m × 300  m pixel cells pixel structure and GTK geometry implemented in MonteCarlo by S. Bifani (see presentation on April 2009 Meeting): Si sensor (200  m thickness), Sn-Pb bump bond (15  m thickness, 10  m diameter cylinder), Si read-out chip (100  m thickness), carbon fiber support (100  m thickness)

1 st case

Number of hits on GTK1

Number of hits on GTK1 (zoom) Number of hits EventsEvent fraction [%] M k k k0.06 > 57.2 k0.24 Fraction of events with more than 1 hit: 0.72 %

New classes added (1) class GigaTrackerPixel gathers all the hits’ energy belonging to the same pixel sensitive volume methods implemented: AddEnergy(Double_t) GetNHit() GetEnergy() GetPixelID() GetPositionX() GetPositionY() SetClusterID(Int_t) GetClusterID()

New classes added (2) class GigaTrackerCluster collection of adjacent pixels (side-side, corner-corner) in a C++ vector methods implemented: AddPixel(GigaTrackerPixel) GetNPixels() GetPixelVector() GetDistance(GigaTrackerCluster) GetEnergy() GetPositionX() GetPositionY() GetWPositionX() GetWPositionY()

Number of pixels GTK1 Number of pixels Event fraction [%] Fraction of events with more than 1 pixel: 0.3%

Number of hits per pixel GTK1 Number of hits Pixel fraction [%] Fraction of pixels with more than 1 hit: 1.0 %

Number of clusters GTK1 Fraction of events with more than 1 cluster: 0.03 % Number of clusters Event fraction [%]

Number of pixels per cluster GTK1 Number of pixels Cluster fraction [%] Fraction of clusters with more than 1 pixel: 0.3 %

Energy release GTK1 per event mean energy: 72.4 keV (~20k e-h) most probable energy: 53.7 keV (~15k e-h) FWHM: ~25 keV (~7k e-h) minimum energy: ~29 keV (~8k e-h)

Hit position (X-Y) inside a pixel uniform pixel population (average on all pixel of one GTK station) r.m.s. = 86.8  m for both X and Y [300  m/SQRT(12) = 86.6  m]

Hit position (Z) inside a pixel in all cases the energy is released just at the entrance of the silicon sensor only for multiple hits, the energy is deposited also at different depths along the sensor, up to the full thickness (200 µm)

Hit position spread GTK1 hit position spread (with respect to first hit) in GTK1 r.m.s. (from un-zoomed plots) ~500  m for both X and Y

Position resolution single cluster arithmetic pixel position average (no weight) r.m.s. = 86.8  m for both X and Y

Charge sharing among pixels analyze single cluster formed by 2 pixels only (0.2%) pixel ordering given by Geant4 if both pixels have an energy below 28.8 keV (8 k e-h)  the event is inefficient found 9 inefficient events over 5595  (0.16 ± 0.05) % inefficiency

2 nd case

Number of hits on GTK1

Number of pixels GTK1 Fraction of events with more than 1 pixel: 2.4%

Number of hits per pixel GTK1 Fraction of pixels with more than 1 hit: 97.2 %

Number of clusters GTK1 Fraction of events with more than 1 cluster: 0.06 % Number of clusters Event fraction [%]

Number of pixels per cluster GTK1 Fraction of clusters with more than 1 pixel: 2.4 %

Hit position (Z) inside a pixel in all cases the energy is still released at the entry face of the silicon sensor now the energy is deposited much more often also at different depths along the sensor, up to the full thickness

Hit position spread GTK1 hit position spread (with respect to first hit) in GTK1 r.m.s. (from un-zoomed plots) ~100  m for both X and Y (before was ~500  m)

Position resolution single cluster arithmetic pixel position average (no weight) r.m.s. = ~86  m for both X and Y

Charge sharing among pixels analyze single cluster formed by 2 pixels only pixel ordering given by Geant4 if both pixels have an energy below 28.8 keV (8 k e-h)  the event is inefficient Found 28 inefficient events over  (0.05 ± 0.01) % inefficiency

Conclusions and To Do List use of new NA62 MonteCarlo with the aim of studying charge sharing effects among Gigatracker pixels two classes implemented for reconstruction purposes very preliminary results show a low inefficiency for particle detection in case that charge is distributed among 2 adjacent pixels To Do list increase statistics variations of other Geant4 parameters from the PhysicsList more detailed study of δ-rays production and “tracking” by Geant4 take into account other effects after-generation (diffusion, drift)