T-Station Alignment Infrastructure at LHCb Adlène Hicheur (Ecole Polytechnique F é d é rale de Lausanne) T-Station Alignment group: J.Blouw, F.Maciuc,

Slides:



Advertisements
Similar presentations
LHCb Alignment 12 th April 2007 S. Viret Coseners Forum « LHC Startup » 1. Introduction 2. The alignment challenge 3. Conclusions.
Advertisements

Proposal for a new design of LumiCal R. Ingbir, P. Ruzicka, V. Vrba October 07 Malá Skála.
SOCRAT: a SOftware for Clas12 Reconstruction And Tracking 04/25/10 S. Procureur (CEA-Saclay)
Terzo Convegno sulla Fisica di ALICE - LNF, Andrea Dainese 1 Preparation for ITS alignment A. Dainese (INFN – LNL) for the ITS alignment group.
IV Convegno Nazionale Fisica ALICE, Palau, Andrea Dainese 1 Cosmics in ITS: tracking & alignment A.Dainese (INFN Legnaro) ITS alignment group:
Increasing Field Integral between Velo and TT S. Blusk Sept 02, 2009 SU Group Meeting.
Introduction Silicon Tracker project: design production Tracking strategy and performance Design and performance of the LHCb Silicon Tracker Kim Vervink.
Inner Tracker Alignment study Kim Vervink Monday seminar, 10th April 2006, EPFL.
The LHCb Inner Tracker LHCb: is a single-arm forward spectrometer dedicated to B-physics acceptance: (250)mrad: The Outer Tracker: covers the large.
1 CMS Tracker Alignment and Implications for Physics Performance Nhan Tran Johns Hopkins University CMS Collaboration SPLIT
STS Simulations Anna Kotynia 15 th CBM Collaboration Meeting April , 2010, GSI 1.
Beam profile measurements based on modern vertex detectors and beam-gas interactions Slides from: Colin Barschel - TIPP 2014 third international conference.
The LiC Detector Toy M. Valentan, M. Regler, R. Frühwirth Austrian Academy of Sciences Institute of High Energy Physics, Vienna InputSimulation ReconstructionOutput.
HPS Test Run Setup Takashi Maruyama SLAC Heavy Photon Search Collaboration Meeting Thomas Jefferson National Accelerator Facility, May 26-27,
1 Track reconstruction and physics analysis in LHCb Outline Introduction to the LHCb experiment Track reconstruction → finding and fitting Physics analysis.
Jeroen van Hunen The LHCb Tracking System. May 22, 2006 Frontier Detectors for Frontier Physics, Elba, Jeroen van Huenen 2 The LHCb Experiment LHCb.
Tracking at LHCb Introduction: Tracking Performance at LHCb Kalman Filter Technique Speed Optimization Status & Plans.
Javier CastilloLHC Alignment Workshop - CERN - 05/09/ Alignment of the ALICE MUON Spectrometer Javier Castillo CEA/Saclay.
Installation and operation of the LHCb Silicon Tracker detector Daniel Esperante (Universidade de Santiago de Compostela) on behalf of the Silicon Tracker.
Preliminary results with the Alibava Telescope G. Casse, S. Martì, J. Rodriguez, I. Tsurin and the Alibava collaboration 1 G. Casse,20th RD50 Workshop,
Design and development of micro-strip stacked module prototypes for tracking at S-LHC Motivations Tracking detectors at future hadron colliders will operate.
A Silicon vertex tracker prototype for CBM Material for the FP6 Design application.
LHCb VErtex LOcator & Displaced Vertex Trigger
CHEP07 conference 5 September 2007, T. Cornelissen 1 Thijs Cornelissen (CERN) On behalf of the ATLAS collaboration The Global-  2 Track Fitter in ATLAS.
18 december 2002, NIKHEF Jamboree Tracking and Physics Studies, Jeroen van Tilburg 1 Tracking and Physics Studies in LHCb Jeroen van Tilburg NIKHEF Jaarvergadering.
9 September 2004The Straw Tube Chamber1 The CDC Curtis A. Meyer Carnegie Mellon University Physics Requirements and Specifications Prototype Construction.
Louis Nicolas – LPHE-EPFL T-Alignment: Track Selection December 11, 2006 Track Selection for T-Alignment studies Louis Nicolas EPFL Monday Seminar December.
26 June 2006Imaging2006, Stockholm, Niels Tuning 1/18 Tracking with the LHCb Spectrometer Detector Performance and Track Reconstruction Niels Tuning (Outer.
Fast Tracking of Strip and MAPS Detectors Joachim Gläß Computer Engineering, University of Mannheim Target application is trigger  1. do it fast  2.
- Performance Studies & Production of the LHCb Silicon Tracker Stefan Koestner (University Zurich) on behalf of the Silicon Tracker Collaboration IT -
Jonathan BouchetBerkeley School on Collective Dynamics 1 Performance of the Silicon Strip Detector of the STAR Experiment Jonathan Bouchet Subatech STAR.
CMS Torino meeting, 4 th June, 2007 R. Castello on behalf of Torino Tracker’s group Tracker Alignment with MillePede.
Fast Simulation and the Higgs: Parameterisations of photon reconstruction efficiency in H  events Fast Simulation and the Higgs: Parameterisations of.
D 0 reconstruction: 15 AGeV – 25 AGeV – 35 AGeV M.Deveaux, C.Dritsa, F.Rami IPHC Strasbourg / GSI Darmstadt Outline Motivation Simulation Tools Results.
ILD Vertex Detector Y. Sugimoto 2012/5/24 ILD
CHIPP meeting Appenberg, 24 Aug 2009 Preparation for LHC beam, Jeroen van Tilburg 1/15 Jeroen van Tilburg (Universität Zürich) LHCb: Preparation for LHC.
Luminosity monitor at LHCb Tomáš Laštovička (CERN ) on behalf of the LHCb Collaboration LHC workshop on the luminosity monitoring and measurement January.
CP violation in B decays: prospects for LHCb Werner Ruckstuhl, NIKHEF, 3 July 1998.
Barbara Storaci, Wouter Hulsbergen, Nicola Serra, Niels Tuning 1.
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 +
The LHCb Vertex Locator Lars Eklund LHCb VELO Group of the LHCb Collaboration CERN (Geneva), EPFL (Lausanne), NIKHEF (Amsterdam), University of Glasgow,
1 PP Minimum Bias Triggering Simulations Alan Dion Stony Brook University.
1 ATLAS Muon Spectrometer Alignment LHC Days in Split, 5-9 Oct J.Krstic, M.Milosavljevic Institute of Physics, Belgrade D.Fassouliotis,C.Kourkoumelis,
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.
SiD Tracking in the LOI and Future Plans Richard Partridge SLAC ALCPG 2009.
1 Status of Tracker Alignment b-tagging Workshop Nhan Tran (JHU) On behalf of the Tracker Alignment Group.
3 May 2003, LHC2003 Symposium, FermiLab Tracking Performance in LHCb, Jeroen van Tilburg 1 Tracking performance in LHCb Tracking Performance Jeroen van.
Alignment Challenge at LHCb Steven Blusk Syracuse University LHC Alignment Workshop, Aug 3-5, 2006.
RD07, June Firenze Alignment Strategy for the CMS Silicon Tracker Marco Rovere 1 for the CMS Collaboration 1 Università di Milano-Bicocca & INFN.
LHCb Alignment Strategy 26 th September 2007 S. Viret 1. Introduction 2. The alignment challenge 3. Conclusions.
Tracking software of the BESIII drift chamber Linghui WU For the BESIII MDC software group.
FCAL Krakow meeting, 6. May LumiCal concept including the tracker R. Ingbir, P.Růžička, V. Vrba.
Mitglied der Helmholtz-Gemeinschaft Hit Reconstruction for the Luminosity Monitor March 3 rd 2009 | T. Randriamalala, J. Ritman and T. Stockmanns.
Iterative local  2 alignment algorithm for the ATLAS Pixel detector Tobias Göttfert IMPRS young scientists workshop 17 th July 2006.
Detector Alignment with Tracks Wouter Hulsbergen (Nikhef, BFYS)
y x Vincenzo Monaco, University of Torino HERA-LHC workshop 18/1/2005
Developing Radiation Hard Silicon for the Vertex Locator
Beam Gas Vertex – Beam monitor
Global Alignment in LHCb Steve Blusk Syracuse University
Integration and alignment of ATLAS SCT
CMS Tracker Alignment with Cosmic Data and Strategy at the Startup
The LHC collider in Geneva
UNIZH and EPFL at LHCb.
Preparation for ITS alignment
Niels Tuning (Outer Tracker Group LHCb)
LHCb Alignment Strategy
The LHCb Level 1 trigger LHC Symposium, October 27, 2001
Setup for testing LHCb Inner Tracker Modules
The LHCb VErtex LOcator
Presentation transcript:

T-Station Alignment Infrastructure at LHCb Adlène Hicheur (Ecole Polytechnique F é d é rale de Lausanne) T-Station Alignment group: J.Blouw, F.Maciuc, M. Deissenroth, A. Perieanu (Heidelberg), A.Hicheur, L.Nicolas (EPFL), G.Raven, J.Amoraal, I.Nardulli (NIKHEF) (Heidelberg), A.Hicheur, L.Nicolas (EPFL), G.Raven, J.Amoraal, I.Nardulli (NIKHEF) LHC Alignment Workshop, 4-6/09/2006

2 Outline Introduction Introduction –Vertexing and tracking subsystems –T stations Alignment framework: global view Alignment framework: global view Geometry and alignable units Geometry and alignable units Tracking model and tools Tracking model and tools Solving tools Solving tools Conclusion and outlook Conclusion and outlook

3 VeLoVeLoVeLoVeLo Trigger Tracker T Stations Inner Tracker (Si) Outer Tracker (straws) Vertexing and tracking in LHCb In fringe field of magnet Fast track momentum measurement for trigger dP/P ~ 30% (PT=3GeV) Offline reconstruction of long-lived and low momentum particles Vertex reco. “Full” momentum measurement Target resolution dP/P ~ %

4 T stations TT Station Inner tracker Outer Tracker Inner Tracker Outer Tracker High track density region Silicon strip detector Pitch 198 μm, implant width 50 μm 2% of acceptance, 20% of tracks Maximum occupancy 2.3% Each station has four boxes Total: 336 ladders to align 5 mm Kapton/Al straw tubes (longest straws 4.7m) 5 mm Kapton/Al straw tubes (longest straws 4.7m) Drift gas 70:30 Ar:CO2 mixture Drift gas 70:30 Ar:CO2 mixture (14+8)*4*3 = 264 modules to align (14+8)*4*3 = 264 modules to align 3 Stations with 4 layers, x type and stereo u,v type ( 0 o, -5 o, 5 o, 0 o ) Degradation: for x misalign of 0.5 mm, although trk efficiency not much affected,  p/p ~ 10-15% (25% for 1mm) IT Initial positioning (meas. + estimates)

5 Alignment framework Upstream processing (tracking algs, etc…) AlignTools Align Data objects Align Algorithms Stores/DBs Transient event store Transient detector store Conditions DB Solving Track Selection Track Model Update Book-keeping of alignable geometry etc… Tracking info Geometry info iterate LHCb Brunel environment

6 Geometry and granularity OT IT Inside IT box: 4 ladder layers: 2 layers mounted on each cooling rod. cooling Straws grouped in double layered modules 4 module layers per station Overlaps: IT ladders overlap across the strips Overlaps between IT boxes Small overlap between IT and OT

7 Tracking model and tools Velo tracks Forward tracks Matched tracks VTT tracks T  TT tracks For T station internal alignment, use of T seeds - Because of fringe field, cannot take a purely linear model (e.g polynomial parameterization). Momentum estimate from pt kick in the magnet - Trajectory tool (both for tracks and measurements) to be used for derivatives, defining misalignments, etc… - For selection, main challenge is to reject ghost tracks, select isolated tracks Seed tracks

8 Solving alignment Splitted between processing (i.e accumulate statistics) and solving Splitted between processing (i.e accumulate statistics) and solving IT ladders and OT modules treated in a similar way IT ladders and OT modules treated in a similar way Processing part meant to run in different ways: direct use of Millepede, global minimization, etc… Processing part meant to run in different ways: direct use of Millepede, global minimization, etc… Final solving part separated from the processing part Final solving part separated from the processing part –On call methods implementing different approaches (singular- friendly inversion as embedded in Millepede, diagonalization, MINRES algorithm) Steps: Steps: –Align IT and OT internally –Use “hybrid” tracks and overlaps to align IT wrt OT u v w    Measurement,  stereo u = x cos(  ) + y sin(  ) track Hit strip/wire

9 Early studies Note: the studies have been done with simplified set-ups, neglecting many effects (sensor thickness, multiple scattering, etc…) Note: the studies have been done with simplified set-ups, neglecting many effects (sensor thickness, multiple scattering, etc…) Done only for two degrees of freedom (translations in the plane perpendicular to the beam axis) + straight tracks Done only for two degrees of freedom (translations in the plane perpendicular to the beam axis) + straight tracks –Non linearities not taken into account With all the detector effects, the hope is to achieve: With all the detector effects, the hope is to achieve: –IT: 10  m precision for the coordinate across the strips (x) and about an order of magnitude worse in y –OT: ~ 50  m precision across the straws (x) Currently: Currently: –Rotations and z translation being studied –Modeling of non-linearities under investigation Iterations machinery to be trained further Iterations machinery to be trained further

10 Conclusion and outlook T-Station Alignment strategy defined T-Station Alignment strategy defined –Implementation of core software on-going Feasibility studies performed Feasibility studies performed –Despite the naïve simulation, important items figured out already: treatment of non-linearities, handling iterations,… The plan is to have a complete SW framework by the end of the year The plan is to have a complete SW framework by the end of the year Event samples for the algorithms Event samples for the algorithms –Simulated minimum bias and inclusive b events –Before “proper collision” data, beam-gas and beam-halo tracks to be considered (no cosmics like other experiments)

11 Back up

12 Bridge frame (stainless steel) Shorter frames Longer frames Supports: 12 Outer tracker ¼ stations 6 Inner tracker ½ stations Rail tolerances: Flatness: 3 mm Straightness: 2mm (over 6.55 m)

13 Support structures for the trackers IT support frame OT C-frame

14 C-frame details Holes for services 2 vertical Plates Combined With 2 strips For torsion stiffness RASNIK alignment holes

15 More on OT Single Double Layer 5mm straws pitch 5.25 mm Track e-e- e-e- e-e- e-e- e-e- r (mm) Drift time (ns)

16 Pulls for IT align param x and z (toy MC study)

17 Pt derivation from Velo tracks Slide from J.Albrecht