Meeting. Wataru OKAMURA 26/12/2011 Osaka ATLAS meeting
|
|
|
- Shon Reynold Lambert
- 6 years ago
- Views:
Transcription
1 Meeting Wataru OKAMURA 6// Osaka ATLAS meeting
2 NTUP_HSG5ZHLL ZHllbb_boostedFilter.py (NTUP_HSG5ZHLL) Used dataset at least jet from CamKtLCTopoJets collection with pt>5 GeV either > electrons from the ElectronAODCollection with ET > 5 GeV and cluster eta <.5, or >= muons from the MuidMuonCollection with pt > 5 GeV and eta <.6 missing ET < 5 GeV
3 # dataset ndataset: 6 dataset: mc_7tev.95.zhllbb_pythia.merge.ntup_hsg5zhll.e85_s_s_r7_r7_p78_tid575_ nevent: 76 xsec:.9 dataset: mc_7tev.5.t_mcatnlo_jimmy.merge.ntup_hsg5zhll.e85_s7_s74_r7_r78_p78_tid575_ nevent: 557 xsec:.455 dataset: mc_7tev.9.alpgenjimmyzeebbnp_nofilter.merge.ntup_hsg5zhll.e85_s_s_r7_r7_p78_tid57564_ nevent: 88 xsec:.6557 dataset: mc_7tev.9.alpgenjimmyzeebbnp_nofilter.merge.ntup_hsg5zhll.e85_s_s_r7_r7_p78_tid57565_ nevent: 6595 xsec:.479 dataset4: mc_7tev.9.alpgenjimmyzeebbnp_nofilter.merge.ntup_hsg5zhll.e85_s_s_r7_r7_p78_tid57566_ nevent4: 75 xsec4: dataset5: mc_7tev.9.alpgenjimmyzeebbnp_nofilter.merge.ntup_hsg5zhll.e85_s_s_r7_r7_p78_tid57567_ nevent5: 769 xsec5:.998 dataset6: mc_7tev.95.alpgenjimmyzmumubbnp_nofilter.merge.ntup_hsg5zhll.e85_s_s_r7_r7_p78_tid57568_ nevent6: 787 xsec6:.6566 dataset7: mc_7tev.96.alpgenjimmyzmumubbnp_nofilter.merge.ntup_hsg5zhll.e85_s_s_r7_r7_p78_tid57569_ nevent7: 575 xsec7:.476 dataset8: mc_7tev.97.alpgenjimmyzmumubbnp_nofilter.merge.ntup_hsg5zhll.e85_s_s_r7_r7_p78_tid5757_ nevent8: 44 xsec8:.886 dataset9: mc_7tev.98.alpgenjimmyzmumubbnp_nofilter.merge.ntup_hsg5zhll.e85_s_s_r7_r7_p78_tid5757_ nevent9: 64 xsec9:.877 dataset: mc_7tev.9.alpgenjimmyztautaubbnp_nofilter.merge.ntup_hsg5zhll.e85_s_s_r7_r78_p78_tid5757_ nevent: 8 xsec: dataset: mc_7tev.9.alpgenjimmyztautaubbnp_nofilter.merge.ntup_hsg5zhll.e85_s_s_r7_r7_p78_tid5757_ nevent: 998 xsec:.48 dataset: mc_7tev.9.alpgenjimmyztautaubbnp_nofilter.merge.ntup_hsg5zhll.e85_s_s_r7_r7_p78_tid57574_ nevent: 598 xsec:.886 dataset: mc_7tev.9.alpgenjimmyztautaubbnp_nofilter.merge.ntup_hsg5zhll.e85_s_s_r7_r7_p78_tid57575_ nevent: 48 xsec:.895 dataset4: mc_7tev.65.herwigwz_pt.merge.ntup_hsg5zhll.e85_s_s_r7_r7_p78_tid57585_ nevent4: 57 xsec4:.68 dataset5: mc_7tev.66.herwigzz_pt.merge.ntup_hsg5zhll.e85_s_s_r7_r7_p78_tid57586_ nevent5: 98 xsec5:.575
4 Electron Selection Object Selection - 4-vector : el_et=el_cl_e/cosh(el_tracketa), el_tracketa, el_trackphi, el_cl_e. author== author==. medium==. Et> GeV 4. eta < OQ&446== 6. ptcone/pt<. 7. overlap removal Electron with ΔR<. to a muon candidate are removed 4
5 Muon Selection () - - Muon id : Staco 4-vector : mu_staco_pt, mu_staco_eta, mu_staco_phi, mu_staco_e. iscombinedmuon issegmenttaggedmuon. BLayer :! expectblayerhit nblhits>. Pixel : (npixhits+npixeldeadsensors)> 4. SCT : (nscthits+nsctdeadsensors)>=5 5. PixSCTHoles : (npixholes+nsctholes)< 6. TRT : z< mm 8. d< mm 9. pt> GeV 5
6 Muon Selection (). eta <.5.ptcone/pt<. I don t care smearing and scaling for electron and muon. 6
7 Jet Selection - - Jet algorithm : AntiKt4TopoEMJets 4-vector : AntiKt4TopoEM_pt, AntiKt4TopoEM_eta, AntiKt4TopoEM_phi, AntiKt4TopoEM_E. E> GeV.! isbadloose.! isugly 4. pt>5 GeV 5. eta <.5 6. jvtxf> overlap removal Jets with ΔR<.4 to a selected electron are removed 7
8 Event Selection. HFor Rejection : top_hfor_type<4. N_good_lepton>. Trigger - - electron : EF_e_medium EF_e_medium muon : EF_mu8_MG EF_mu4_MSonly_barrel 4. Vertex : Primary vertex containing at least tracks 5. leptons of same flavour 6. leptons of opposite charge 7. 76<M ll <6 GeV 8
9 8. MET<5 GeV 9. At least jets.exactly b-jets - JetFitterCOMBNN>.5 Boosted cut.angular : Δφ(ZH) >π/.z candidate Pt>5 GeV.Higgs candidate Pt> GeV 9
10 Cut Flow
11 Electron details Jet details
12 Muon details
13 MET for signal MC
14 Mbb for signal MC Entries 54 Mean 9. ±.985 RMS.85 Underflow Overflow Integral
15 Mbb for background MC Entries 6 Entries ttbar Mean 47. ±.5 RMS 6.8 Underflow Overflow 568 Integral ZeebbNp Mean 4. ± 7.4 RMS 6.64 Underflow Overflow 7 Integral Entries 8 Entries 5 4 ZeebbNp Mean 6.6 ± 4.65 RMS 6.89 Underflow Overflow 4 Integral ZeebbNp Mean. ± 4.7 RMS 57. Underflow Overflow 6 Integral
16 Mbb for background MC Entries Entries ZeebbNp Mean 9. ± 5.55 RMS 5.68 Underflow Overflow Integral Mean 46. ± 9.46 ZmumubbNp RMS 6.46 Underflow Overflow 6 Integral Entries Entries 6 5 Mean 9.5 ± 5.6 ZmumubbNp RMS 64. Underflow Overflow 5 Integral Mean 9.9 ± 4.8 ZmumubbNp RMS 64. Underflow Overflow 4 Integral
17 Mbb for background MC Entries 99 Entries.5 Mean 9.4 ± 6.88 ZmumubbNp RMS 57.5 Underflow Overflow 8 Integral 8.8 ZtautaubbNp Mean ± RMS Underflow Overflow Integral Entries Entries Mean ± ZtautaubbNp RMS Underflow ZtautaubbNp Mean ± RMS Underflow.8 Overflow Integral.8 Overflow Integral
18 Mbb for background MC Entries Entries ZtautaubbNp Mean ± RMS Underflow Mean ± HerwigWZ_pt RMS Underflow.8 Overflow Integral.8 Overflow Integral Entries 6 Mean 9.68 ± HerwigZZ_pt RMS. Underflow Overflow Integral
19 Mbb for MC hs_cut Entries Mean ± ± RMS Underflow Overflow Integral hs_cut hs_cut hs_cut
20 Trigger study (After good lepton cut) el_et efficiency (?) triggered el_et ET[GeV] ET[GeV] ET[GeV]
Boosted ZHLL analysis. Wataru OKAMURA 27/12/2011
Boosted ZHLL analysis Wataru OKAMURA 27/2/2 Used dataset NTUP_HSG5ZHLL - ZHllbb boosted Filter ZHllbb_boostedFilter.py (NTUP_HSG5ZHLL) at least jet from CamKt2LCTopoJets collection with pt>5 GeV either
Status report. Wataru OKAMURA 06/02/2012 ATLAS Osaka meeting
Status report Wataru OKAMURA // ATLAS Osaka meeting Noise occupancy test problem Boosted ZH to llbb analysis I m cleaning up my source codes and implementing any collections / smearing. Noise occupancy
Study of the Higgs boson coupling to the top quark and of the b jet identification with the ATLAS experiment at the Large Hadron Collider.
Study of the Higgs boson coupling to the top quark and of the b jet identification with the ATLAS experiment at the Large Hadron Collider. Calvet Thomas CPPM, ATLAS group PhD day 25 novembre 2015 2 The
Tau ID systematics in the Z lh cross section measurement
Tau ID systematics in the Z lh cross section measurement Frank Seifert1 supervised by Arno Straessner1, Wolfgang Mader1 In collaboration with Michel Trottier McDonald2 Technische Universität Dresden 1
How to discover the Higgs Boson in an Oracle database. Maaike Limper
How to discover the Higgs Boson in an Oracle database Maaike Limper 2 Introduction CERN openlab is a unique public-private partnership between CERN and leading ICT companies. Its mission is to accelerate
Alignment of the ATLAS Inner Detector
Alignment of the ATLAS Inner Detector Heather M. Gray [1,2] on behalf of the ATLAS ID Alignment Group [1] California Institute of Technology [2] Columbia University The ATLAS Experiment tile calorimeter
Tracking POG Update. Tracking POG Meeting March 17, 2009
Tracking POG Update Tracking POG Meeting March 17, 2009 Outline Recent accomplishments in Tracking POG - Reconstruction improvements for collisions - Analysis of CRAFT Data Upcoming Tasks Announcements
Monte 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
ATLAS PILE-UP AND OVERLAY SIMULATION
ATLAS PILE-UP AND OVERLAY SIMULATION LPCC Detector Simulation Workshop, June 26-27, 2017 ATL-SOFT-SLIDE-2017-375 22/06/2017 Tadej Novak on behalf of the ATLAS Collaboration INTRODUCTION In addition to
Tracking 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
Event Displays and LArg
Event Displays and LArg Columbia U. / Nevis Labs Slide 1 Introduction Displays are needed in various ways at different stages of the experiment: Software development: understanding offline & trigger algorithms
Time of CDF (II)
TOF detector lecture, 19. august 4 1 Time of Flight @ CDF (II) reconstruction/simulation group J. Beringer, A. Deisher, Ch. Doerr, M. Jones, E. Lipeles,, M. Shapiro, R. Snider, D. Usynin calibration group
ATLAS 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
Tracking and Vertexing performance in CMS
Vertex 2012, 16-21 September, Jeju, Korea Tracking and Vertexing performance in CMS Antonio Tropiano (Università and INFN, Firenze) on behalf of the CMS collaboration Outline Tracker description Track
PoS(IHEP-LHC-2011)002
and b-tagging performance in ATLAS Università degli Studi di Milano and INFN Milano E-mail: andrea.favareto@mi.infn.it The ATLAS Inner Detector is designed to provide precision tracking information at
Direct photon measurements in ALICE. Alexis Mas for the ALICE collaboration
Direct photon measurements in ALICE Alexis Mas for the ALICE collaboration 1 Outline I - Physics motivations for direct photon measurements II Direct photon measurements in ALICE i - Conversion method
Recent developments in tracking and
Recent developments in tracking and impact on B-tagging Boris Mangano for Tracking POG group page 1 Outline B-tagging Enemies Recent developments in iterative tracking and impact on V0 reconstruction efficiency.
The 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
Dijet A LL Dijet cross section 2006 Dijet A LL Preparation for Tai Sakuma MIT
Dijet A LL 2005 Dijet cross section 2006 Dijet A LL Preparation for 2008 Tai Sakuma MIT Motivation for dijet A LL is to constrain ΔG G with initial event kinematics The initial state variables can be written
Track 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
Performance 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
CMS FPGA Based Tracklet Approach for L1 Track Finding
CMS FPGA Based Tracklet Approach for L1 Track Finding Anders Ryd (Cornell University) On behalf of the CMS Tracklet Group Presented at AWLC June 29, 2017 Anders Ryd Cornell University FPGA Based L1 Tracking
ATLAS Simulation Computing Performance and Pile-Up Simulation in ATLAS
ATLAS Simulation Computing Performance and Pile-Up Simulation in ATLAS John Chapman On behalf of the ATLAS Collaboration LPCC Detector Simulation Workshop 6th-7th October 2011, CERN Techniques For Improving
arxiv: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
Early experience with the Run 2 ATLAS analysis model
Early experience with the Run 2 ATLAS analysis model Argonne National Laboratory E-mail: cranshaw@anl.gov During the long shutdown of the LHC, the ATLAS collaboration redesigned its analysis model based
pyframe Ryan Reece A light-weight Python framework for analyzing ROOT ntuples in ATLAS University of Pennsylvania
pyframe A light-weight Python framework for analyzing ROOT ntuples in ATLAS Ryan Reece University of Pennsylvania ryan.reece@cern.ch Physics Analysis Tools Meeting, CERN September 21, 2011 What is this
Physics 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
Electron 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
Design 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
Full Silicon Tracking Studies for CEPC
Full Silicon Tracking Studies for CEPC Weiming Yao (IHEP/LBNL) for Silicon Tracking Study Group CEPC-SppC Study Group Meeting, September 2-26, Beihang University http://cepc.ihep.ac.cn/ cepc/cepc twiki/index.php/pure
Validation of Missing ET reconstruction in xaod
/ Validation of Missing ET reconstruction in xaod Venkatesh Veeraraghavan University of Arizona 08//0 / Outline Objective Details Results Ahead / Objective Run II of the LHC begins in a few months xaod
An SQL-based approach to physics analysis
Journal of Physics: Conference Series OPEN ACCESS An SQL-based approach to physics analysis To cite this article: Dr Maaike Limper 2014 J. Phys.: Conf. Ser. 513 022022 View the article online for updates
Performance of Tracking, b-tagging and Jet/MET reconstruction at the CMS High Level Trigger
Journal of Physics: Conference Series PAPER OPEN ACCESS Performance of Tracking, b-tagging and Jet/MET reconstruction at the CMS High Level Trigger To cite this article: Mia Tosi 205 J. Phys.: Conf. Ser.
PoS(EPS-HEP2017)523. The CMS trigger in Run 2. Mia Tosi CERN
CERN E-mail: mia.tosi@cern.ch During its second period of operation (Run 2) which started in 2015, the LHC will reach a peak instantaneous luminosity of approximately 2 10 34 cm 2 s 1 with an average pile-up
SiD Tracking using VXD. Nick Sinev, University of Oregon
SiD Tracking using VXD Nick Sinev, University of Oregon Plan Motivation Track reconstruction algorithm Performance for single tracks Does it have any limits? With backgrounds To do Motivation Tracking
Real-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
Fast 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
LVL1 e/γ RoI Builder Prototype
LVL e/γ RoI Builder Prototype RoI / s matching and zero suppression Receiver RoI VME Receiver RoI Control Receiver RoI S-Link Interface Receiver Output - LVL / Supervisor RoI Builder discussion - Verilog/VHDL
The FTK to Level-2 Interface Card (FLIC)
The FTK to Level-2 Interface Card (FLIC) J. Anderson, B. Auerbach, R. Blair, G. Drake, A. Kreps, J. Love, J. Proudfoot, M. Oberling, R. Wang, J. Zhang November 5th, 2015 2015 IEEE Nuclear Science Symposium
Charged 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,
PoS(ACAT08)101. An Overview of the b-tagging Algorithms in the CMS Offline Software. Christophe Saout
An Overview of the b-tagging Algorithms in the CMS Offline Software Christophe Saout CERN, Geneva, Switzerland E-mail: christophe.saout@cern.ch The CMS Offline software contains a widespread set of algorithms
Analysis of Failed Runs in IU Mini Data Challenge. Kei Moriya Indiana University GlueX Offline Meeting November 13, 2013
Analysis of Failed Runs in IU Mini Data Challenge Kei Moriya Indiana University GlueX Offline Meeting November 13, 2013 1 Brief Summary Processed 50M bggen events - 10 hrs worth of data at 10 7 γ/s 10k
b-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
Physics Analysis Tools for Beauty Physics in ATLAS
Physics Analysis Tools for Beauty Physics in ATLAS Christos Anastopoulos 8, Eva Bouhova-Thacker 2, James Catmore 2, Steve Dallison 5, Frederick Derue 6, Brigitte Epp 3, Patrick Jussel 3, Anna Kaczmarska
Jet algoritms Pavel Weber , KIP Jet Algorithms 1/23
Jet algoritms Pavel Weber 29.04.2009, KIP Jet Algorithms 1/23 Evolution of the partonic system parton shower Definition of the jet Different, depends on the algorithm Observation level Calorimeter jet
b-jet slice performances at L2/EF
20 March 2007 Outline b-jet slice status b-tagging performance Status/Outlook b-jet slice The b-tagging selection is an element of flexibility in the ATLAS HLT framework: it might help to increase acceptance
Performance 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
PoS(TIPP2014)204. Tracking at High Level Trigger in CMS. Mia TOSI Universitá degli Studi di Padova e INFN (IT)
Universitá degli Studi di Padova e INFN (IT) E-mail: mia.tosi@gmail.com The trigger systems of the LHC detectors play a crucial role in determining the physics capabilities of the experiments. A reduction
Bent Solenoid C or S type. Akira SATO Osaka University Jun COMET-mu2e joint workshop
Bent Solenoid C or S type Akira SATO Osaka University 23-34 Jun. 9 COMET-mu2e joint workshop Contents COMET vs mu2e C/S-type Bend Solenoid for COMET 2 COMET vs mu2e COMET vs MECO/mu2e Target C or W W,
Xianyou Wang,Guoming Chen, Zheng Wang, Xianwei Meng, Jan Wang. Institute of High Energy Physics, CAS, Beijing
Xianyou Wang,Guoming Chen, Zheng Wang, Xianwei Meng, Jan Wang Institute of High Energy Physics, CAS, Beijing Outline Outline Motivation Argumentation The sample of InclusivePPmux The number of events will
Understanding the predefined examples
Tutorial category: Expert mode Understanding the predefined examples 1/32 Version 1.0 Date 29/10/2013 Official MadAnalysis 5 website : https://launchpad.net/madanalysis5/ Goals of this tutorial Understanding
First 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
HPS Data Analysis Group Summary. Matt Graham HPS Collaboration Meeting June 6, 2013
HPS Data Analysis Group Summary Matt Graham HPS Collaboration Meeting June 6, 2013 Data Analysis 101 define what you want to measure get data to disk (by magic or whatever) select subset of data to optimize
PoS(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
ATLAS Dr. C. Lacasta, Dr. C. Marinas
ATLAS Dr. C. Lacasta, Dr. C. Marinas cmarinas@uni-bonn.de 1 http://www.atlas.ch/multimedia/# Why? In particle physics, the processes occur on a scale that is either too brief or too small to be observed
MIP 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
Modules and Front-End Electronics Developments for the ATLAS ITk Strips Upgrade
Modules and Front-End Electronics Developments for the ATLAS ITk Strips Upgrade Carlos García Argos, on behalf of the ATLAS ITk Collaboration University of Freiburg International Conference on Technology
Full 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
H γγ. Sean Simon UC San Diego (on behalf of the H γγ WG) Photon Workshop July 23 rd 2008
H γγ Sean Simon UC San Diego (on behalf of the H γγ WG) Photon Workshop July 23 rd 2008 Contributing and interested groups Caltech, Lyon, Notre Dame, Rome, Saclay, UC Riverside, UCSD Signal and Background
MadAnalysis5 A framework for event file analysis.
MadAnalysis5 A framework for event file analysis. Benjamin Fuks (IPHC Strasbourg / Université de Strasbourg). In collaboration with E. Conte & G. Serret. MadGraph 2011 Meeting @ Academia Belgica (Roma).
Updated 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
Trigger and Data Acquisition at the Large Hadron Collider
Trigger and Data Acquisition at the Large Hadron Collider Acknowledgments (again) This overview talk would not exist without the help of many colleagues and all the material available online I wish to
Spark and HPC for High Energy Physics Data Analyses
Spark and HPC for High Energy Physics Data Analyses Marc Paterno, Jim Kowalkowski, and Saba Sehrish 2017 IEEE International Workshop on High-Performance Big Data Computing Introduction High energy physics
Description and performance of track and primaryvertex reconstruction with the CMS tracker
Journal of Instrumentation OPEN ACCESS Description and performance of track and primaryvertex reconstruction with the CMS tracker o cite this article: he CMS Collaboration 04 JINS 9 P009 View the article
ALICE ANALYSIS PRESERVATION. Mihaela Gheata DASPOS/DPHEP7 workshop
1 ALICE ANALYSIS PRESERVATION Mihaela Gheata DASPOS/DPHEP7 workshop 2 Outline ALICE data flow ALICE analysis Data & software preservation Open access and sharing analysis tools Conclusions 3 ALICE data
TPC 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
Expected feedback from 3D for SLHC Introduction. LHC 14 TeV pp collider at CERN start summer 2008
Introduction LHC 14 TeV pp collider at CERN start summer 2008 Gradual increase of luminosity up to L = 10 34 cm -2 s -1 in 2008-2011 SLHC - major increase of luminosity up to L = 10 35 cm -2 s -1 in 2016-2017
Fast simulation in ATLAS
Fast simulation in ATLAS A. Salzburger, CERN for the ATLAS collaboration 1 Simulation load & requirements typical MC campaign in ATLAS 2011 - O( 9) events
Rivet. July , CERN
Rivet Chris Gütschow (UC London) Chris Pollard (Glasgow) Deepak Kar (Witwatersrand) Holger Schulz (Durham) July 13 2016, CERN H. Schulz Rivet 1 / 19 Contents 1 Introduction 2 Basic work cycle 3 Writing
NuGen III. Friday, May 10, 13
NuGen III 1 NuGen III 1 History of neutrino simulation NUSIM (Gary) ANIS (Marek) Gary s fast neutrino simulation for AMANDA Next generation of AMANDA neutrino simulation Cross section tables, final interaction
ATLAS, 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
A LVL2 Zero Suppression Algorithm for TRT Data
A LVL2 Zero Suppression Algorithm for TRT Data R. Scholte,R.Slopsema,B.vanEijk, N. Ellis, J. Vermeulen May 5, 22 Abstract In the ATLAS experiment B-physics studies will be conducted at low and intermediate
π ± 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
Latest development for ME-PS matching with MadGraph/MadEvent
Latest development for ME-PS matching with MadGraph/MadEvent S.de Visscher Universite Catholique de Louvain Center For Particle Physics and Phenomenology (CP3) Top meeting - 16th july 2007 Outline 1 2
The Belle II Software From Detector Signals to Physics Results
The Belle II Software From Detector Signals to Physics Results LMU Munich INSTR17 2017-02-28 Belle II @ SuperKEKB B, charm, τ physics 40 higher luminosity than KEKB Aim: 50 times more data than Belle Significantly
Alignment of the ATLAS inner detector tracking system
Journal of Instrumentation OPEN ACCESS Alignment of the ATLAS inner detector tracking system To cite this article: Heather M Gray Related content - The ATLAS trigger: high-level trigger commissioning and
DeepCore Veto Methods
DeepCore Veto Methods Sebastian Euler RWTH Aachen University Novel Searches for Dark Matter 2010 Workshop July 5 2010, Ohio State University 1 Outline IceCube + DeepCore Veto: First Ideas Stage 1: Velocity
ATLAS NOTE ATLAS-CONF July 20, Commissioning of the ATLAS high-performance b-tagging algorithms in the 7 TeV collision data
ALAS NOE ALAS-CONF-2-2 July 2, 2 Commissioning of the ALAS high-performance b-tagging algorithms in the ev collision data he ALAS collaboration ALAS-CONF-2-2 2 July 2 Abstract he ability to identify jets
Track 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:
Trigger information in the Atlantis event display
Trigger information in the Atlantis event display Qiang Lu, Juergen Thomas, Peter Watkins (Birmingham) Hans Drevermann (CERN) Andrew Haas (Columbia) Eric Jansen, Pieter Klok, Charles Timmermans (Nijmegen,
CMS 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
Atlantis event display tutorial
Atlantis event display tutorial basic features Zdenek Maxa (University College London) Atlantis team Introduction features Atlantis event display is a stand-alone Java application Uses variety of 2D projections,
A New Variable-Resolution Associative Memory for High Energy Physics
A New Variable-Resolution Associative Memory for High Energy Physics A. Annovi, S. Amerio, M. Beretta, E. Bossini, F. Crescioli, M. Dell'Orso, P. Giannetti, J. Hoff, T. Liu, D. Magalotti, M. Piendibene,
ATLAS Tracking Detector Upgrade studies using the Fast Simulation Engine
Journal of Physics: Conference Series PAPER OPEN ACCESS ATLAS Tracking Detector Upgrade studies using the Fast Simulation Engine To cite this article: Noemi Calace et al 2015 J. Phys.: Conf. Ser. 664 072005
Physics Analysis Software Framework for Belle II
Physics Analysis Software Framework for Belle II Marko Starič Belle Belle II collaboration Jožef Stefan Institute, Ljubljana CHEP 2015 M. Starič (IJS) Physics Analysis Software Okinawa, 13-17 April 2015
PoS(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
Inside-out tracking at CDF
Nuclear Instruments and Methods in Physics Research A 538 (25) 249 254 www.elsevier.com/locate/nima Inside-out tracking at CDF Christopher Hays a,, Yimei Huang a, Ashutosh V. Kotwal a, Heather K. Gerberich
A Topologic Approach to Particle Flow PandoraPFA
A Topologic Approach to Particle Flow PandoraPFA Mark Thomson University of Cambridge This Talk: Philosophy The Algorithm Some First Results Conclusions/Outlook LCWS06 Bangalore 13/3/06 Mark Thomson 1
Johns Hopkins University and CMS
Johns Hopkins University and CMS B. Barnett, B. Blumenfeld, A. Gritsan, P. Maksimovic M.Swartz Johns Hopkins University Baltimore, Maryland, USA 1 JHU CMS Group Person Position Experiments (8) Recent CMS
HLT 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
Robustness Studies of the CMS Tracker for the LHC Upgrade Phase I
Robustness Studies of the CMS Tracker for the LHC Upgrade Phase I Juan Carlos Cuevas Advisor: Héctor Méndez, Ph.D University of Puerto Rico Mayagϋez May 2, 2013 1 OUTLINE Objectives Motivation CMS pixel
LHCb Topological Trigger Reoptimization
LHCb Topological Trigger Reoptimization Philip Iten1, Tatiana Likhomanenko2,3, Egor Khairullin2, Andrey Ustyuzhanin2,3, Mike Williams1 1 Massachusetts Institute of Technology, US 2 Yandex School of Data
SiD Simulation & Reconstruction. Norman Graf (for the sim/reco team) LCWS 2010, Beijing March 28, 2010
SiD Simulation & Reconstruction Norman Graf (for the sim/reco team) LCWS 2010, Beijing March 28, 2010 The LOI Physics Benchmarks Process The Letter of Intent (LOI) process required a number of physics
ALICE tracking system
ALICE tracking system Marian Ivanov, GSI Darmstadt, on behalf of the ALICE Collaboration Third International Workshop for Future Challenges in Tracking and Trigger Concepts 1 Outlook Detector description
Topics 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
The ATLAS Trigger System: Past, Present and Future
Available online at www.sciencedirect.com Nuclear and Particle Physics Proceedings 273 275 (2016) 1065 1071 www.elsevier.com/locate/nppp The ATLAS Trigger System: Past, Present and Future F. Pastore Royal
LHC Detector Upgrades
Su Dong SLAC Summer Institute Aug/2/2012 1 LHC is exceeding expectations in many ways Design lumi 1x10 34 Design pileup ~24 Rapid increase in luminosity Even more dramatic pileup challenge Z->µµ event
The CLICdp Optimization Process
ILDOptWS, Feb, 2016 A. Sailer: The CLICdp Optimization Process 1/17 The CLICdp Optimization Process André Sailer (CERN-EP-LCD) On Behalf of the CLICdp Collaboration ILD Software and Optimisation Workshop
Tracking 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
Update on Energy Resolution of
Update on Energy Resolution of the EMC Using µµγ Sample David Hopkins Royal Holloway, University of London EMC Reconstruction Workshop, December 5 th, 2004 Outline Study of photon energy resolution Compare