The LHC collider in Geneva

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

More on making fake TT clusters More creating Fake TT clusters We can compute the number of combinations instead of the purity (following all the possible.
LHCb PatVeloTT Performance Adam Webber. Why Upgrade?  Currently we de-focus the beams o LHCb Luminosity ~ 2x10 32 cm -2 s -1 o ~ 1 interaction per bunch.
7 Nov 2002Niels Tuning - Vertex A vertex trigger for LHCb The trigger for LHCb ….. and the use of the Si vertex detector at the first and second.
27 th June 2008Johannes Albrecht, BEACH 2008 Johannes Albrecht Physikalisches Institut Universität Heidelberg on behalf of the LHCb Collaboration The LHCb.
Increasing Field Integral between Velo and TT S. Blusk Sept 02, 2009 SU Group Meeting.
1 The LHCb Vertex detector 15/9/2003 Physics –Goals –Properties and consequences LHCb –Overview of the detector Vertex –Specifications –Silicon stations.
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.
1 Performance of the LHCb VELO Outline LHCb Detector and its performance in Run I LHCb Detector and its performance in Run I LHCb VELO LHCb VELO VELO performance.
Tracking at LHCb Introduction: Tracking Performance at LHCb Kalman Filter Technique Speed Optimization Status & Plans.
Chris Parkes First results from the LHCb Vertex Locator Act 1: LHCb Intro. Act 2: Velo Design Act 3: Initial Performance for LHCb VELO groupVienna Conference.
Ooo Performance simulation studies of a realistic model of the CBM Silicon Tracking System Silicon Tracking for CBM Reconstructed URQMD event: central.
Silicon Sensors for Collider Physics from Physics Requirements to Vertex Tracking Detectors Marco Battaglia Lawrence Berkeley National Laboratory, University.
Installation and operation of the LHCb Silicon Tracker detector Daniel Esperante (Universidade de Santiago de Compostela) on behalf of the Silicon Tracker.
1 Performance Studies for the LHCb Experiment Performance Studies for the LHCb Experiment Marcel Merk NIKHEF Representing the LHCb collaboration 19 th.
Design and development of micro-strip stacked module prototypes for tracking at S-LHC Motivations Tracking detectors at future hadron colliders will operate.
LHCb VErtex LOcator & Displaced Vertex Trigger
Difference between Roman Pots and VELO Very forward tracking is typically done using detectors located in Roman pots. They are far away from the interaction.
Tevatron II: the world’s highest energy collider What’s new?  Data will be collected from 5 to 15 fb -1 at  s=1.96 TeV  Instantaneous luminosity will.
18 december 2002, NIKHEF Jamboree Tracking and Physics Studies, Jeroen van Tilburg 1 Tracking and Physics Studies in LHCb Jeroen van Tilburg NIKHEF Jaarvergadering.
T RACKING E FFICIENCY FOR & CALORIMETER S EED TRACKING FOR THE CLIC S I D Pooja Saxena, Ph.D. Student Center of Detector & Related Software Technology.
Performance simulations with a realistic model of the CBM Silicon Tracking System Silicon tracking for CBM Number of integration components Ladders106.
26 June 2006Imaging2006, Stockholm, Niels Tuning 1/18 Tracking with the LHCb Spectrometer Detector Performance and Track Reconstruction Niels Tuning (Outer.
- Performance Studies & Production of the LHCb Silicon Tracker Stefan Koestner (University Zurich) on behalf of the Silicon Tracker Collaboration IT -
LHCb: Preparing for Data (A talk on MC events and data expectations) NIKHEF Colloquium Feb 4, 2005 Marcel Merk.
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,
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.
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 LHCb: Reoptimized Detector & Tracking Performance LHCb: Reoptimized Detector & Tracking Performance Gerhard Raven NIKHEF and VU, Amsterdam Representing.
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.
ST Occupancies (revisited) M. Needham EPFL. Introduction Occupancies matter Date rates/sizes In particular was data size on links from Tell1 to farm estimated.
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.
July 22, 2002Brainstorming Meeting, F.Teubert L1/L2 Trigger Algorithms L1-DAQ Trigger Farms, July 22, 2002 F.Teubert on behalf of the Trigger Software.
SiD Tracking in the LOI and Future Plans Richard Partridge SLAC ALCPG 2009.
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.
Anna Kotynia.  8 stations  fully based on micro-strip detectors Tracking detector: -low-mass detector -full azimuthal angle coverage -polar angle coverage:from.
Developing Radiation Hard Silicon for the Vertex Locator
Tracking detectors/2 F.Riggi.
The LHCb Trigger System
IOP HEPP Conference Upgrading the CMS Tracker for SLHC Mark Pesaresi Imperial College, London.
Upgrade Tracker Simulation Studies
Simulated vertex precision
Workshop “MC for the LHC” - CERN
Vertex, Track Reconstruction & Luminosity Monitoring at LHCb
5% The CMS all silicon tracker simulation
STAR Geometry and Detectors
The Level-0 Calorimeter Trigger and the software triggers
Reddy Pratap Gandrajula (University of Iowa) on behalf of CMS
The LHCb VELO and its use in the trigger
STAR Detector Event selection and triggers Corrections to data
Niels Tuning (Outer Tracker Group LHCb)
The LHCb vertex detector
Performance Studies for the LHCb Experiment
8th International Conference on Advanced Technology and
B Physics at the LHC Neville Harnew University of Oxford.
Performance of ATLAS & CMS Silicon Tracker
The LHCb Level 1 trigger LHC Symposium, October 27, 2001
Summary of validation studies of the simplified geometry
Contents First section: pion and proton misidentification probabilities as Loose or Tight Muons. Measurements using Jet-triggered data (from run).
Vincenzo Vagnoni INFN Bologna CKM Workshop Durham, April 8th 2003
Installation, Commissioning and Startup of ATLAS & CMS Experiments
LHCb Trigger LHCb Trigger Outlook:
The LHCb VErtex LOcator
First results from the LHCb Vertex Locator
Presentation transcript:

The LHC collider in Geneva LHCb p-p collisions with 7 TeV + 7 TeV 14 Million collisions per second 1 in 160 collisions is B physics

LHCb Tracking Bs K K ,K  Ds

~1.41.2 m2 ~65 m2 21 stations R and φ sensors LHCb setup VELO

Vertex Detector Made @ NIKHEF Pile-Up Stations Interaction Region s=5.3 cm

Vertex detector Silicon stations y x z R Vertex has standalone track and vertex reconstruction (Projection in R-z plane) Second metal layer As explained the silicon stations have full phi coverage, the red area is the overlap between two stations. Schematically the detectors are arranged as show in the cross-section AA. The acceptance is shown as well as the interaction region of about 5 cm. The two Pile – Up stations are outside the acceptance. The silicon stations are using strip detectors with R phi geometry. The choice for strip detectors directly follow from the occupancy which is low enough because of the reduced luminosity and the selection of events with a low number of pp interactions. The minimum active radius is 8 mm and the outside radius is 42. The thickness is 220 mum. The R detectors are divided in 45 degree segments. The hits in those 45 degree segments can be projected on the R-z plane and then be used for the standalone track and vertex reconstruction. The blue line was successfully identified as a high pt displaced track, which is the key ingredient for the level-1 trigger. I will continue with some details about the silicon. The signal is read out over a double metal layer, allowing the chips to be outside the acceptance region. The pitch ranges from 40 to 103 mum for the R stations and the highest x-y resolution is naturally closest to the interaction region because of the phi strips. The phi strips have stereo angles of -20 degrees to 10 degrees. The detectors are maintained at a temperature of -5 degrees C and a CO2 cooling system is installed to do just that.

The detector apparatus Velo Detector The detector apparatus 21 stations

Simulated Event ,K Bs K Outer Tracker K Ds  Velo Particle momentum

Outer Tracker Track OT double layer cross section pitch 5.25 mm e-

Outer Tracker

Outer Tracker Simulation Geant3 LHCb event display Measurement simulation: OT double layer cross section 5mm straws pitch 5.25 mm Track e-

Track Finding Zoom of OT station (hits in red) OT double layer cross section e- e- e- pitch 5.25 mm e- e-

Track finding strategy T track Upstream track VELO seeds Long track (forward) Long track (matched) VELO track T seeds Downstream track Long tracks  highest quality for physics (good IP & p resolution) Downstream tracks  needed for efficient KS finding (good p resolution) Upstream tracks  lower p, worse p resolution, but useful for RICH1 pattern recognition T tracks  useful for RICH2 pattern recognition VELO tracks  useful for primary vertex reconstruction (good IP resolution)

Result of track finding On average: 26 long tracks 11 upstream tracks 4 downstream tracks 5 T tracks 26 VELO tracks Result of track finding T3 T2 T1 Typical event display: Red = measurements (hits) Blue = all reconstructed tracks TT VELO 2050 hits assigned to a long track: 98.7% correctly assigned Efficiency vs p : Ghost rate vs pT : Ghost rate = 3% (for pT > 0.5 GeV) Eff = 94% (p > 10 GeV) Ghosts: Negligible effect on b decay reconstruction

Experimental Resolution Momentum resolution Impact parameter resolution sIP= 14m + 35 m/pT dp/p = 0.35% – 0.55% 1/pT spectrum B tracks p spectrum B tracks

Mass resolution: ~ 14 MeV: B Reconstruction Mass resolution: ~ 14 MeV: p Bs K K ,K  Ds d B Decay time Distribution: t=md/cp

event