Semiconductor detectors An introduction to semiconductor detector physics as applied to particle physics.

Slides:



Advertisements
Similar presentations
Silicon detectors in HEP
Advertisements

Impact parameter studies with early data from ATLAS
General Characteristics of Gas Detectors
Ozgur Ates Hampton University HUGS 2009-JLAB TREK Experiment “Tracking and Baseline Design”
ATLAS SCT Endcap Detector Modules Lutz Feld University of Freiburg for the ATLAS SCT Collaboration Vertex m.
HEP Experiments Detectors and their Technologies Sascha Marc Schmeling CERN.
Detectors & Measurements: How we do physics without seeing… Prof. Robin D. Erbacher University of California, Davis References: R. Fernow, Introduction.
LHCf: a LHC Detector for Astroparticle Physics LHCf: a LHC Detector for Astroparticle Physics Lorenzo Bonechi on behalf of the LHCf Collaboration * University.
LHC SPS PS. 46 m 22 m A Toroidal LHC ApparatuS - ATLAS As large as the CERN main bulding.
Department of Physics VERTEX 2002 – Hawaii, 3-7 Nov Outline: Introduction ISE simulation of non-irradiated and irradiated devices Non-homogeneous.
Introduction to Hadronic Final State Reconstruction in Collider Experiments Introduction to Hadronic Final State Reconstruction in Collider Experiments.
Preliminary Ideas for a Near Detector at a Neutrino Factory Neutrino Factory Scoping Study Meeting 23 September 2005 Paul Soler University of Glasgow/RAL.
Introduction Silicon Tracker project: design production Tracking strategy and performance Design and performance of the LHCb Silicon Tracker Kim Vervink.
Description of BTeV detector Jianchun Wang Syracuse University Representing The BTeV Collaboration DPF 2000 Aug , 2000 Columbus, Ohio.
Module Production for The ATLAS Silicon Tracker (SCT) The SCT requirements: Hermetic lightweight tracker. 4 space-points detection up to pseudo rapidity.
The LHCb Inner Tracker LHCb: is a single-arm forward spectrometer dedicated to B-physics acceptance: (250)mrad: The Outer Tracker: covers the large.
Stephanie Majewski Stanford University
The BTeV Tracking Systems David Christian Fermilab f January 11, 2001.
Drift Chambers Drift Chambers are MWPCs where the time it takes for the ions to reach the sense wire is recorded. This time info gives position info:
STS Simulations Anna Kotynia 15 th CBM Collaboration Meeting April , 2010, GSI 1.
Performance of ATLAS & CMS Silicon Tracker Alessia Tricomi University and INFN Catania International Europhysics Conference on High Energy Physics EPS.
The SLHC and the Challenges of the CMS Upgrade William Ferguson First year seminar March 2 nd
Semiconductor detectors
Recirculation Concept - Cyclotron Radio frequency alternating voltage Hollow metal drift tubes time t =0 time t =½ RF period D-shaped.
1 Semiconductor Detectors  It may be that when this class is taught 10 years on, we may only study semiconductor detectors  In general, silicon provides.
Jornadas LIP, Dez P. Martins - CFTP-IST The NA60 Silicon Vertex Telescopes Dimuon measurements Dimuon measurements Vertex telescope used in: Vertex.
The LiC Detector Toy (LDT) Tracking detector optimization with fast simulation VERTEX 2011, Rust M. Valentan, R. Frühwirth, M. Regler, M. Mitaroff.
Semiconductor detectors An introduction to semiconductor detector physics as applied to particle physics.
Lecture 1.3: Interaction of Radiation with Matter
NEW COMMENTS TO ILC BEAM ENERGY MEASUREMENTS BASED ON SYNCHROTRON RADIATION FROM MAGNETIC SPECTROMETER E.Syresin, B. Zalikhanov-DLNP, JINR R. Makarov-MSU.
Vienna Fast Simulation LDT Munich, Germany, 17 March 2008 M. Regler, M. Valentan Demonstration and optimization studies by the Vienna Fast Simulation Tool.
18/11/04DELPHI visits, PhC1 Visits to DELPHI/LHCb Ph.Charpentier.
At the HERA collider in Hamburg an experiment (ZEUS) has been built to study electron-proton collisions. For the near future an upgrade of this experiment.
Silicon Detector Tracking ALCPG Workshop Cornell July 15, 2003 John Jaros.
- Performance Studies & Production of the LHCb Silicon Tracker Stefan Koestner (University Zurich) on behalf of the Silicon Tracker Collaboration IT -
Start and Vertex Detector W. Boeglin, A.Klein Current Design: 3300 scintillating fibers 1mm diameter 3 double layers (1 axial, 2 stereo) cylindrical geometry.
Jonathan BouchetBerkeley School on Collective Dynamics 1 Performance of the Silicon Strip Detector of the STAR Experiment Jonathan Bouchet Subatech STAR.
R.S. Orr 2009 TRIUMF Summer Institute
LHCb Vertex Detector and Beetle Chip
Particle Detectors for Colliders Semiconductor Tracking Detectors Robert S. Orr University of Toronto.
1 Nick Sinev, ALCPG March 2011, Eugene, Oregon Investigation into Vertex Detector Resolution N. B. Sinev University of Oregon, Eugene.
M. Garcia-Sciveres July 2002 ATLAS A Proton Collider Detector M. Garcia-Sciveres Lawrence Berkeley National Laboratory.
PPAC in ZDC for Trigger and Luminosity Edwin Norbeck University of Iowa Luminosity Workshop November 5, 2004.
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 New Inner-Layer Silicon Micro- Strip Detector for D0 Alice Bean for the D0 Collaboration University of Kansas CIPANP Puerto Rico.
Introduction to Hadronic Final State Reconstruction in Collider Experiments Introduction to Hadronic Final State Reconstruction in Collider Experiments.
Study of the MPPC for the GLD Calorimeter Readout Satoru Uozumi (Shinshu University) for the GLD Calorimeter Group Kobe Introduction Performance.
FP-CCD GLD VERTEX GROUP Presenting by Tadashi Nagamine Tohoku University ILC VTX Ringberg Castle, May 2006.
E+/e- Backgrounds at BEPCII/BESIII JIN Dapeng Aug. 22, 2011.
PPAC Jonathan Olson University of Iowa HCAL November 11-13, 2004.
Making Tracks at DØ Satish Desai – Fermilab. Making Tracks at D-Zero 2 What Does a Tracker Do? ● It finds tracks (well, duh!) ● Particle ID (e/ separation,
Developing Radiation Hard Silicon for the Vertex Locator
Tracking detectors/2 F.Riggi.
IOP HEPP Conference Upgrading the CMS Tracker for SLHC Mark Pesaresi Imperial College, London.
Silicon Pixel Detector for the PHENIX experiment at the BNL RHIC
Simulated vertex precision
Methods of Experimental Particle Physics
Integration and alignment of ATLAS SCT
The Compact Muon Solenoid Detector
5% The CMS all silicon tracker simulation
Vertex Detector Overview Prototypes R&D Plans Summary.
Lecture 22.
The LHCb vertex detector
Semiconductor Detectors
The LHCb Level 1 trigger LHC Symposium, October 27, 2001
Experimental Particle Physics
PHYS 3446 – Lecture #17 Particle Detection Particle Accelerators
PHYS 3446 – Lecture #17 Wednesday ,April 4, 2012 Dr. Brandt
Why silicon detectors? Main characteristics of silicon detectors:
Presentation transcript:

Semiconductor detectors An introduction to semiconductor detector physics as applied to particle physics

Contents 4 lectures – can’t cover much of a huge field Introduction Fundamentals of operation The micro-strip detector Radiation hardness issues

Lecture 1 - Introduction What do we want to do Past, present and near future Why use semiconductor detectors

What we want to do - Just PPE Track particles without disturbing them Determined position of primary interaction vertex and secondary decays –Superb position resolution Highly segmented  high resolution –Large signal Small amount of energy to crate signal quanta –Thin Close to interaction point –Low mass Minimise multiple scattering –Detector –Readout –Cooling / support

Ages of silicon - the birth J. Kemmer –Fixed target experiment with a planar diode * –Later strip devices –Larger devices with huge ancillary components * J. Kemmer: “Fabrication of a low-noise silicon radiation detector by the planar process”, NIM A169, pp499, 1980

Ages of Silicon - vertex detectors LEP and SLAC –Almost 4  coverage –ASIC’s at end of ladders –Minimise the mass inside tracking volume –Minimise the mass between interaction point and detectors –Minimise the distance between interaction point and the detectors Enabled heavy flavour physics i.e. short lived particles

ALEPH

ALPEH – VDET (the upgrade) –2 silicon layers, 40cm long, inner radius 6.3cm, outer radius 11cm –300  m Silicon wafers giving thickness of only 0.015X 0 –Pitch r-phi side: 25  m, with R/O pitch of 50  m z side : 100  m –S/N r  = 28:1; z = 17:1 –  r  = 12  m;  z = 14  m reduced due to multiple scattering to 20  m and 40  m respectively.

Ages of silicon - tracking paradigm CDF/D0 & LHC –Emphasis shifted to tracking + vertexing –Only possible as increased energy of particles Cover large area with many silicon layers Detector modules including ASIC’s and services INSIDE the tracking volume Module size limited by electronic noise due to fast shaping time of electronics (bunch crossing rate determined) –Noise sources covered in later chapter, but limited by capacitance load “seen” by the front end amplifier, which is proportional to the length of the silicon detector strip

ALEPH

ATLAS A monster ! ATLAS is mainly magnets and muon chambers and is 5 stories tall The inner tracking detector is a cylinder of  2m diameter and 6m long

Introduction 5.6m 4 cylindrical barrels 9 disks per Endcap Pseudorapidity coverage of ± m

ATLAS barrel 2112 Barrel modules mounted on 4 carbon fibre concentric Barrels, 12 in each row 1976 End-cap modules mounted on 9 disks at each end of the barrel region

Barrel and Endcaps Barrel modules are normal to the incident beam direction, centered on the interaction point Endcap modules are perpendicular to the beam direction as tracks from particles are now at a significant angle to the beam direction

What is measured Measure space points Deduce –Vertex location –Decay lengths –Impact parameters

Signature of Heavy Flavours Stable particles  > scc n2.66km  658m Very long lived particles  > s , K ±, K L x m K S 0, E ±,  x cm Long lived particles  > s ±± 0.3 x  m B d 0, B s 0,  b 1.2 x  m Short lived particles  0,  x  m ,, 4 x  m!!

Decay lengths By measuring the decay length, L, and the momentum, p, the lifetime of the particle can be determined Need accuracy on both production and decay point L Primary vertex Secondary vertex L = p/m c  E.g. B  J/  K s 0

Impact parameter (b) b beam b = distance of closest approach of a reconstructed track to the true interaction point

Impact parameter Error in impact parameter for 2 precision measurements at R 1 and R 2 measured in two detector planes: a=f(R 1 & R 2 ) and function of intrinsic resolution of vertex detector b due to multiple scattering in detector c due to detector alignment and stability

Impact parameter  b = f( vertex layers, distance from main vertex, spatial resolution of each detector, material before precision measurement, alignment, stability ) Requirements for best measurement –Close as possible to interaction point –Maximum lever arm R 2 – R 1 –Maximum number of space points –High spatial resolution of individual detector elements –Smallest amount of material between interaction point and 1 st layer –Use high radiation length, low Z materials –Good stability and alignment – continuously measured and correct for –100% detection efficiency –Fast readout to reduce pile up in high flux environments

Impact parameter * Effect of extra mass and distance from the interaction point Blue = 5mm Black = 1mm (baseline) Green = 0.5 mm Red = 0.1 mm GR WidthFlux increase(%) to siliconImprovement of the IPres. wrt 1mm(%) 5mm  mm  mm  0.7 Lower P t * Guard Ring Width Impact on d0 Performances and Structure Simulations. A Gouldwell, C Parkes, M Rahman, R Bates, M Wemyss, G Murphy, P Turner and S Biagi. LHCb Note, LHCb

Why Silicon Semiconductor with moderate bandgap (1.12eV) Thermal energy = 1/40eV –Little cooling required Energy to create e/h pair (signal quanta)= 3.6eV c.f Argon gas = 15eV –High carrier yield  better stats and lower Poisson stats noise –Better energy resolution and high signal  no gain stage required

Why silicon High density and high atomic number –Higher specific energy loss  Thinner detectors  Reduced range of secondary particles Better spatial resolution High carrier mobility  Fast! –Less than 30ns to collect entire signal Industrial fabrication techniques Advanced simulation packages –Processing developments –Optimisation of geometry –Limiting high voltage breakdown –Understanding radiation damage

Disadvantages Cost  Area covered –Detector material could be cheap – standard Si –Most cost in readout channels Material budget –Radiation length can be significant Effects calorimeters Degrades tracking due to multiple scattering Radiation damage –Replace often or design very well – see lecture 4

Radiation length X 0 High-energy electrons predominantly lose energy in matter by bremsstrahlung High-energy photons by e + e - pair production The characteristic amount of matter traversed for these related interactions is called the radiation length X 0, usually measured in g cm -2. It is both: –the mean distance over which a high-energy electron loses all but 1/e of its energy by bremsstrahlung –the mean free path for pair production by a high-energy photon