Studies for Phase-II Muon Detector (|η| = ) – Plans

Slides:



Advertisements
Similar presentations
Impact parameter studies with early data from ATLAS
Advertisements

Ozgur Ates Hampton University HUGS 2009-JLAB TREK Experiment “Tracking and Baseline Design”
Tentative flow chart of CMS Multi-Muon analysis 1 – DATASETS 2 - RESOLUTIONS 3 – FAKE RATES 4 – NUCLEAR INT MODEL 5 – IP TEMPLATES MODEL 6 – SAMPLE COMPOSITION.
1 PID Detectors & Emittance Resolution Chris Rogers Rutherford Appleton Laboratory MICE CM17.
Status of  b Scan Jianchun Wang Syracuse University Representing L b scanners CLEO Meeting 05/11/02.
Increasing Field Integral between Velo and TT S. Blusk Sept 02, 2009 SU Group Meeting.
1 Hadronic In-Situ Calibration of the ATLAS Detector N. Davidson The University of Melbourne.
TB & Simulation results Jose E. Garcia & M. Vos. Introduction SCT Week – March 03 Jose E. Garcia TB & Simulation results Simulation results Inner detector.
1 N. Davidson Calibration with low energy single pions Tau Working Group Meeting 23 rd July 2007.
1 EMCal design MICE collaboration meeting Fermilab Rikard Sandström.
Tau Jet Identification in Charged Higgs Search Monoranjan Guchait TIFR, Mumbai India-CMS collaboration meeting th March,2009 University of Delhi.
Pion test beam from KEK: momentum studies Data provided by Toho group: 2512 beam tracks D. Duchesneau April 27 th 2011 Track  x Track  y Base track positions.
W properties AT CDF J. E. Garcia INFN Pisa. Outline Corfu Summer Institute Corfu Summer Institute September 10 th 2 1.CDF detector 2.W cross section measurements.
1 Tracking Reconstruction Norman A. Graf SLAC July 19, 2006.
NSW background studies Max Bellomo, Nektarios Benekos, Niels van Eldik, Andrew Haas, Peter Kluit, Jochen Meyer, Felix Rauscher 1.
Tracking at LHCb Introduction: Tracking Performance at LHCb Kalman Filter Technique Speed Optimization Status & Plans.
Impact parameter resolution study for ILC detector Tomoaki Fujikawa (Tohoku university) ACFA Workshop in Taipei Nov
Vienna Fast Simulation LDT Munich, Germany, 17 March 2008 M. Regler, M. Valentan Demonstration and optimization studies by the Vienna Fast Simulation Tool.
LCWS 06 Bangalore, India, March Track fitting using weight matrix Nick Sinev, University of Oregon.
Detection of electromagnetic showers along muon tracks Salvatore Mangano (IFIC)
V.Petracek TU Prague, UNI Heidelberg GSI Detection of D +/- hadronic 3-body decays in the CBM experiment ● D +/- K  B. R. 
© Imperial College LondonPage 1 Tracking & Ecal Positional/Angular Resolution Hakan Yilmaz.
Charged Particle Multiplicity and Transverse Energy in √s nn = 130 GeV Au+Au Collisions Klaus Reygers University of Münster, Germany for the PHENIX Collaboration.
Impact parameter resolutions for ILC detector Tomoaki Fujikawa (Tohoku university) ACFA Workshop in Taipei Nov
CALOR April Algorithms for the DØ Calorimeter Sophie Trincaz-Duvoid LPNHE – PARIS VI for the DØ collaboration  Calorimeter short description.
Muon detection in NA60  Experiment setup and operation principle  Coping with background R.Shahoyan, IST (Lisbon)
1/27/2016 R.Seidl: status of simulation1 W muon analysis in PHENIX Status of the background understanding, signal, smearing and asymmetries R.Seidl (RBRC)
Fast Simulation and the Higgs: Parameterisations of photon reconstruction efficiency in H  events Fast Simulation and the Higgs: Parameterisations of.
Search for High-Mass Resonances in e + e - Jia Liu Madelyne Greene, Lana Muniz, Jane Nachtman Goal for the summer Searching for new particle Z’ --- a massive.
The Detector Performance Study for the Barrel Section of the ATLAS Semiconductor Tracker (SCT) with Cosmic Rays Yoshikazu Nagai (Univ. of Tsukuba) For.
LCWS11 – Tracking Performance at CLIC_ILD/SiD Michael Hauschild - CERN, 27-Sep-2011, page 1 Tracking Performance in CLIC_ILD and CLIC_SiD e + e –  H +
Charged Particle Multiplicity, Michele Rosin U. WisconsinQCD Meeting May 13, M. Rosin, D. Kçira, and A. Savin University of Wisconsin L. Shcheglova.
4/12/05 -Xiaojian Zhang, 1 UIUC paper review Introduction to Bc Event selection The blind analysis The final result The systematic error.
Update on Diffractive Dijets Hardeep Bansil University of Birmingham 12/07/2013.
Tomas Hreus, Pascal Vanlaer Overview: K0s correction stability tests Jet-pt correction closure test Study of Strangeness Production in Underlying Event.
TeV muons: from data handling to new physics phenomena Vladimir Palichik JINR, Dubna NEC’2009 Varna, September 07-14, 2009.
+ GE2/1 Case Considerations Alexei Safonov. + CMS Muon Upgrades CMS Technical Proposal in its part related to muon systems lists following: MEX/1 electronics.
TeV Muon Reconstruction Vladimir Palichik JINR, Dubna NEC’2007 Varna, September 10-17, 2007.
July 27, 2002CMS Heavy Ions Bolek Wyslouch1 Heavy Ion Physics with the CMS Experiment at the Large Hadron Collider Bolek Wyslouch MIT for the CMS Collaboration.
Tomas Hreus, Pascal Vanlaer Study of Strangeness Production in Underlying Event at 7 TeV 1QCD low pT meeting, 18/03/2011.
B-Tagging Algorithms at the CMS Experiment Gavril Giurgiu (for the CMS Collaboration) Johns Hopkins University DPF-APS Meeting, August 10, 2011 Brown University,
Study of Charged Hadrons in Au-Au Collisions at with the PHENIX Time Expansion Chamber Dmitri Kotchetkov for the PHENIX Collaboration Department of Physics,
SiD Tracking in the LOI and Future Plans Richard Partridge SLAC ALCPG 2009.
Jet Production in Au+Au Collisions at STAR Alexander Schmah for the STAR Collaboration Lawrence Berkeley National Lab Hard Probes 2015 in Montreal/Canada.
CMS Cathode Strip Chambers Performance with LHC Data Vladimir Palichik JINR, Dubna NEC’2013 Varna, September 10,
Phase-2 Muon Performance Projections and Evaluation D. Abbaneo, M. Abbrescia, E. Barberis, C. Bedoya, M. Dallavalle, J. Hauser, K. Hoepfner, V. Khotilovich,
Muon Reconstruction and Vertex Constraint Giovanni Abbiendi Bologna CMS meeting, 20 November 2007.
Pixel Phase 1 Physics/Simulations (Fermilab) for the Tracker Upgrade Simulations Group Pixel Phase 1 Physics/Simulations Harry Cheung (Fermilab) for the.
Pattern recognition with the triplet method Fabrizio Cei INFN & University of Pisa MEG Meeting, Hakata October /10/20131 Fabrizio Cei.
Upsilon production and μ-tagged jets in DØ Horst D. Wahl Florida State University (DØ collaboration) 29 April 2005 DIS April to 1 May 2005 Madison.
Susanna Costanza - Pavia Group PANDA C.M., Stockholm – June 14, 2010
Full Sim Status Estel Perez 27 July 2017.
Using IP Chi-Square Probability
News on quarkonia Laurent Rosselet December 3rd 2008.
M. Kuhn, P. Hopchev, M. Ferro-Luzzi
Efficiency of Muon Reconstruction
Particle detection and reconstruction at the LHC (IV)
Michele Pioppi* on behalf of PRIN _005 group
The LHC collider in Geneva
Measurement of Muon Energy Loss in ATLAS
Reddy Pratap Gandrajula (University of Iowa) on behalf of CMS
Reconstruction of short-lived resonances in pp collisions
Project Presentations August 5th, 2004
Fast Track Fitting in the SiD01 Detector
RecoTracks Revisited.
Higgs Factory Backgrounds
Run4 Fiducial Match between Real and MC
Samples and MC Selection
Contents First section: pion and proton misidentification probabilities as Loose or Tight Muons. Measurements using Jet-triggered data (from run).
Particles going through matter
Presentation transcript:

Studies for Phase-II Muon Detector (|η| = 2.4-4.0) – Plans Emanuela Barberis David Nash Daniele Trocino Northeastern University Muon Upgrade Meeting 7/4/2018

E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting Summary (I) The lower portion of the new muon station would extend offline muon reconstruction coverage to a region between |η| = 2.4 and |η| = 4.0 for now, simply emulated as a flat surface at |z| = 560 cm, covering |η| = 2.4-4.0 2D hits only (could be extended to segments) 7/4/2018 E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting

E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting Summary (II) Here we will describe the first plans we have made and discussed with Slava (thanks again!), exploiting the material and tools available now or in reasonable time scale as well as give an overview our results so far particle-gun muon samples with FastSim, including an extended Pixel detector and a pileup scenario ”à la Summer12” first sample available (20 GeV muon gun), produced by A. Levin (thanks!) Clearly, this is just the beginning. We will need also larger pile-up, as expected in Phase-II more realistic physics signals realistic QCD backgrounds to study rates of hadronic punchthrough, decays-in-flight, etc. → full simulation may be necessary 7/4/2018 E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting

Simulating Material Effects In absence of full or fast simulation of the extended muon detector, the effect of the material can be studied via propagation Propagate the generated-track initial state and covariance matrix (null at IP) to a surface at z = 560 cm, using the SteppingHelixPropagator after the propagation, the covariance matrix will include the uncertainty from material effects only (multiple scattering, energy-loss fluctuations, bremsstrahlung, etc.) Use the position error on the muon detector surface to smear the propagated position and “emulate” a sim-hit General strategy: longitudinal view transversal view y “sim-hit” “sim-hit” Δ(rφ) gen track Δr rec-hit rec-hit r = (x2 + y2)½ reco pixel track IP IP 560 cm z x 7/4/2018 E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting

Use of the Extended Muon Detector The new muon detector can be used for two different purposes As a simple “muon tagger”, to identify the muon track, without using the muon hits to improve the track fit Very similar to the current “tracker-muon” reconstruction Need to define criteria to associate the muon hit (or segment) to the correct pixel track Performance is deteriorated by the abundant expected pile-up To add an extra point to the muon track fit This can improve the momentum resolution, especially at high pT, thanks to the larger lever arm Need to determine pT range in which the muon detector can contribute significantly 7/4/2018 E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting

Muon Identification: Matching Windows Need to determine matching windows in r and rφ to associate the muon hit to the corresponding reco pixel track Propagate the generated particle to z = 560 cm (only B field and average energy loss) → PGEN Produce the “simulated hit” (multiple scattering, etc) → PSIM - Smear PGEN according to its position error to emulate PSIM Propagate the reconstructed pixel track → PREC - From the outermost pixel hit Muon matching window (only material effects) ΔM = PSIM – PGEN Pixel matching window (pixel detector performance) ΔP = PREC – PGEN Total matching window (full performance) ΔMP = ΔM – ΔP “sim-hit” PSIM ΔM PGEN ΔMP ΔP gen particle PREC r = (x2 + y2)½ reco pixel track IP Outer Hit 560 cm z 7/4/2018 E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting

Muon Matching Window ΔM ΔM is affected only by material effects (in part. multiple scattering) r coordinate rφ coordinate mean, RMS mean, RMS The matching window can be chosen e.g. as a 95 / 99% probability region (2 / 3 × RMS) 7/4/2018 E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting

Pixel Matching Window ΔP ΔP is affected only by the resolution of the reconstructed pixel tracks r coordinate rφ coordinate mean, RMS mean, RMS The matching window can be chosen e.g. as a 95 / 99% probability region (2 / 3 × RMS) 7/4/2018 E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting

Total Matching Window ΔMP ΔMP combines material and pixel detector effects r coordinate rφ coordinate mean, RMS mean, RMS The matching window can be chosen e.g. as a 95 / 99% probability region (2 / 3 × RMS) 7/4/2018 E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting

E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting Summary: ΔM , ΔP , ΔMP ΔMP is dominated by ΔP except for the low |η| region We also add, for comparison, the position error of the propagated reco track (not initialized to null) at the surface r coordinate rφ coordinate The matching window can be chosen e.g. as a 95 / 99% probability region (2 / 3 × RMS) 7/4/2018 E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting

Muon Identification: Pile-Up Determine windows Δr, Δ(rφ) to match the muon hit to the pixel track e.g. with 95/99% probability Determine the mismatch rate due to the pile-up, i.e. how often a random pile-up (reco) track rather than the reco muon track is wrongly associated to the simulated muon hit This can be done by: propagating all pile-up tracks and checking how often they end up inside the matching window, closer to the simulated muon hit than the reco muon track using the expected average density of pile-up tracks d2N/dηdφ and the matching area (some quick estimates from Alexei on the following slide) Simulated sim hit pileup tracks Reco muon track r = (x2 + y2)½ 560 cm z 7/4/2018 E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting

Some quick estimates (-Alexei) The matching window is about Dh x Df = 0.002 (pT=5, for higher pT it’s smaller) Total area of the detector: Dh x Df = 2x2xp = 12 Scenario A (event vertex is known): About 0.25 pixel tracks and about 100 muon hits per BX Crudely, an average number of accidental matches with pT>5 GeV: N~ 0.25 tracks*100 muon hits / 6000 windows ~ 0.004 fake muons per BX Scenario B (event vertex is not known): The number has to be multiplied by NPU For PU=200, N~0.8 fake muons/BX for pT=5 GeV For pT>10 GeV N~0.08 fakes Further studies will be done, of course, these are just crude initial estimates 7/4/2018 E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting

E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting Muon Fit Determine the momentum range where the muon chamber can improve significantly the resolution of the track fit propagate both the generated and reconstructed tracks to the muon surface the reco'ed track can be propagated from the outermost tracker layer evaluate the displacements ΔG and ΔR w.r.t. a straight line (in part. in φ projection) the comparison of ΔG and ΔR indicates where we can gain by using the muon information at high pT, the reconstruction resolution gets worse and ΔR broadens w.r.t. ΔG PLINEAR ΔG y Low pT ΔR PGEN |Δ| PREC High pT x |Δ| 7/4/2018 E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting

ΔG vs ΔR rφ coordinate distance from straight line rφ coordinate RMS Dr(prop. track, straight line) Note that at this high h, pT=20 GeV corresponds to p~100-400 GeV 7/4/2018 E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting

E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting Summary and Plans We have conducted initial studies with our first samples, which were received: Matching windows (to simulated sim hits, and w.r.t. straight line) Some initial tests with pileup studies (although the pileup scenarios were minimal with respect to what we'd need) Local Sample Production: Working now to reproduce results with the 20 GeV muon gun sample we received (did not receive the corresponding config file) Planning to produce a range of pT values Pileup studies Produce our full pileup scenario Likewise pT dependent 7/4/2018 E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting

E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting BACKUP 7/4/2018 E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting

Scatter plots corresponding to slide 12 r coordinate rφ coordinate 7/4/2018 E. Barberis, D. Nash, D. Trocino – Muon Upgrade Meeting