SlideShare a Scribd company logo
Tutorial 1
1/11
Rishabh Singh Sisodia IIT BHU
Belle II Detector
B factory
2/11
Rishabh Singh Sisodia IIT BHU
B-factory, or a beauty factory, is a particle collider experiment designed to produce
and detect a large number of B mesons so that their properties and behavior can
be measured. Tauons and D mesons are also produced at B-factories.
Three "next generation" B-factories were to be built in the 2010s and 2020s:
• SuperB near Rome in Italy (SuperB was canceled);
• SuperPEP-II, an upgrade to the PEP-II accelerator (never acted upon);
• Belle II, an upgrade to Belle (started taking data in 2018)
• Quark content of B mesons.
Introduction
3/11
Rishabh Singh Sisodia IIT BHU
The Belle experiment was a particle physics experiment conducted by the Belle
Collaboration, at the High Energy Accelerator Research Organization (KEK)
in Tsukuba, Japan. The experiment ran from 1999 to 2010.
The Belle II experiment is an upgrade of Belle that was approved in June 2010. It started
operation in 2018. Belle II is located at SuperKEKB (an upgraded KEKB accelerator).
Terminology
4/11
Rishabh Singh Sisodia IIT BHU
1) Luminosity : Luminosity is a measure of how efficiently a particle
accelerator produces collision events. The luminosity of the accelerator
determines the rate at which these collisions take place.
2) Particle Identification: The goal of the particle identification or PID is to
identify a type of a particle associated with a track using responses from
different systems.
3) Trigger System: A trigger is a system that uses simple criteria to rapidly
decide which events in a particle detector to keep when only a small
fraction of the total can be recorded. Trigger systems are necessary due to
real-world limitations in data storage capacity and rates.
4) Time Resolution: The time resolution is defined by how accurately
the time at which a particle crossed the detector can be determined.
5) Spatial Resolution: This is the measure of the accuracy to which the
position of the particle trajectory may be localized.
Belle II Detector
5/11
Rishabh Singh Sisodia IIT BHU
Image source: https://www.phy.olemiss.edu/HEP/belle2/index.html
Vertex Detector (VXD)
6/11
Rishabh Singh Sisodia IIT BHU
The Belle II vertex detector is comprised of two sub detectors:
1) The Silicon Pixel Detector (PXD)
2) The Silicon Vertex Detector (SVD)
• The PXD makes up the inner two layers at 𝑟 = 14 mm and 𝑟 = 22 mm radii.
• The SVD constitutes the four outer layers of the VXD, with double-sided silicon strip ladders
at radii of 39 mm, 80 mm, 104 mm, and 135 mm, respectively.
Image source: M. Friedl et al, The Belle II Silicon Vertex Detector, Physics Procedia 37 ( 2012 ) 867 – 873
The Silicon Pixel Detector (PXD)
7/11
Rishabh Singh Sisodia IIT BHU
The pixel detector contains 65 million pixels, allowing
it to track the paths of particles emerging from the
Collision with extreme accuracy.
This is based on Depleted field effect transistors
(DEPFET) technology.
Each layer is spilt into segments having little silicon sensors. When a charged particle passes
through it gives enough energy for electrons to be ejected from the silicon atoms, creating
electron-hole pairs. Each pixel uses an electric current to collect these charges on the
surface as a small electric signal. Knowing which pixels have been touched allows us to
deduce the particle's trajectory.
However, being so close to the collision means that the number of particles passing
through is huge; the rate of particles received 8cm from the beam line will be around 10
million particles per square centimeter per second.
Image source: https://cms.cern/detector/identifying-tracks/silicon-pixels
Silicon Vertex Detector (SVD)
8/11
Rishabh Singh Sisodia IIT BHU
The SVD is made of Double-Sided Silicon micro-strip Detectors (DSSDs).
A silicon strip detector is an arrangement of strip like shaped implants acting as charge
collecting electrodes.
The innermost SVD layer has small rectangular sensors .
The other three layers are composed of two types of sensors:
a) large rectangular sensors (named barrel sensors)
b) slanted sensors with a trapezoidal shape, which improves acceptance and precision for
forward boosted particles.
Image source: https://web.infn.it/Belle-II/index.php/detector/svd
Central Drift Chamber (CDC)
9/11
Rishabh Singh Sisodia IIT BHU
 The CDC reconstructs the trajectories of charged particles to precisely determine their
momenta and provides particle identification in the low momentum region. In addition, it
also generates trigger information for charged particles.
 The Belle-II CDC is cylindrical a large volume gas drift chamber with small drift cells with
14336 sense wires, sense wires arranged in 56 layers, either in axial orientation (aligned
with the solenoidal magnetic field) or stereo (skewed with respect to the axial wires).
 The chamber has smaller drift cells than the one used in Belle to be operate at high event
rates.
 The chamber gas is comprised of a He-C2H6 50:50 mixture.
 By combining information from axial and stereo layers it is possible to reconstruct a full 3D
helix track.
Principle of Drift Chamber
10/11
Rishabh Singh Sisodia IIT BHU
 The drift chamber works on ionization.
 As a charged particle passes through the gas, it ionizes the gas atoms.
 These atoms then feel the force of an electric potential and drift towards wires that
register a signal.
 Knowledge of the drift time (time from ionization to signal) and the drift velocity in the gas
allows one to determine the position of the incoming particle.
 Stacking several drift chambers on top of one another allows one to resolve a track left by
the particle, which can give information such as incoming angle.
 If there is an applied magnetic field, the track will curve and one can then determine the
momentum of the particle.
Plan for Next Tutorial
11/11
Rishabh Singh Sisodia IIT BHU
 Particle identification system (TOP and ARICH)
 Electromagnetic Calorimeter (ECL)
 KL- Muon Detector (KLM)
 Trigger System

More Related Content

Similar to Belle II Detector

Capstone_Hsu_Final
Capstone_Hsu_FinalCapstone_Hsu_Final
Capstone_Hsu_Final
Dylan Hsu
 
Nanobeam implantation
Nanobeam implantationNanobeam implantation
Nanobeam implantation
Sam Brown
 
The SpaceDrive Project - First Results on EMDrive and Mach-Effect Thrusters
The SpaceDrive Project - First Results on EMDrive and Mach-Effect ThrustersThe SpaceDrive Project - First Results on EMDrive and Mach-Effect Thrusters
The SpaceDrive Project - First Results on EMDrive and Mach-Effect Thrusters
Sérgio Sacani
 
2016 Summer Research Report
2016 Summer Research Report2016 Summer Research Report
2016 Summer Research Report
James Boggs
 
Electrochemical Bimetallic Galvanic Sensor
Electrochemical Bimetallic Galvanic SensorElectrochemical Bimetallic Galvanic Sensor
Electrochemical Bimetallic Galvanic Sensor
erfan.zaker@gmail.com
 
Structural Health Monitoring Of Bridges By Using Ultrasonic Sensor
Structural Health Monitoring Of Bridges By Using Ultrasonic SensorStructural Health Monitoring Of Bridges By Using Ultrasonic Sensor
Structural Health Monitoring Of Bridges By Using Ultrasonic Sensor
vivatechijri
 
Active vibration control of flexible beam system based on cuckoo search algor...
Active vibration control of flexible beam system based on cuckoo search algor...Active vibration control of flexible beam system based on cuckoo search algor...
Active vibration control of flexible beam system based on cuckoo search algor...
IJECEIAES
 
Module PHY6002 Inorganic Semiconductor Nanostructures Lectur.docx
Module PHY6002 Inorganic Semiconductor Nanostructures Lectur.docxModule PHY6002 Inorganic Semiconductor Nanostructures Lectur.docx
Module PHY6002 Inorganic Semiconductor Nanostructures Lectur.docx
moirarandell
 
Particle flow calorimeter with ASIC readout
Particle flow calorimeter with ASIC readoutParticle flow calorimeter with ASIC readout
Particle flow calorimeter with ASIC readout
eguliyev
 

Similar to Belle II Detector (20)

Guillemaud Thesis
Guillemaud ThesisGuillemaud Thesis
Guillemaud Thesis
 
Capstone_Hsu_Final
Capstone_Hsu_FinalCapstone_Hsu_Final
Capstone_Hsu_Final
 
Sparc Ebit September 2008
Sparc Ebit September 2008Sparc Ebit September 2008
Sparc Ebit September 2008
 
Nanobeam implantation
Nanobeam implantationNanobeam implantation
Nanobeam implantation
 
The SpaceDrive Project - First Results on EMDrive and Mach-Effect Thrusters
The SpaceDrive Project - First Results on EMDrive and Mach-Effect ThrustersThe SpaceDrive Project - First Results on EMDrive and Mach-Effect Thrusters
The SpaceDrive Project - First Results on EMDrive and Mach-Effect Thrusters
 
lec05.pdf
lec05.pdflec05.pdf
lec05.pdf
 
Computer Integrated Design, Analysis and Shape Optimization of Proton Beam Dump
Computer Integrated Design, Analysis and Shape Optimization of Proton Beam DumpComputer Integrated Design, Analysis and Shape Optimization of Proton Beam Dump
Computer Integrated Design, Analysis and Shape Optimization of Proton Beam Dump
 
2016 Summer Research Report
2016 Summer Research Report2016 Summer Research Report
2016 Summer Research Report
 
Electrochemical Bimetallic Galvanic Sensor
Electrochemical Bimetallic Galvanic SensorElectrochemical Bimetallic Galvanic Sensor
Electrochemical Bimetallic Galvanic Sensor
 
Structural Health Monitoring Of Bridges By Using Ultrasonic Sensor
Structural Health Monitoring Of Bridges By Using Ultrasonic SensorStructural Health Monitoring Of Bridges By Using Ultrasonic Sensor
Structural Health Monitoring Of Bridges By Using Ultrasonic Sensor
 
Ion Beam Analytical Technique PIXE for Pollution Study at Dhaka Van de Graaff...
Ion Beam Analytical Technique PIXE for Pollution Study at Dhaka Van de Graaff...Ion Beam Analytical Technique PIXE for Pollution Study at Dhaka Van de Graaff...
Ion Beam Analytical Technique PIXE for Pollution Study at Dhaka Van de Graaff...
 
Effect of alpha irradiation on silicon schottky diode detector
Effect of alpha irradiation on silicon schottky diode detectorEffect of alpha irradiation on silicon schottky diode detector
Effect of alpha irradiation on silicon schottky diode detector
 
Active vibration control of flexible beam system based on cuckoo search algor...
Active vibration control of flexible beam system based on cuckoo search algor...Active vibration control of flexible beam system based on cuckoo search algor...
Active vibration control of flexible beam system based on cuckoo search algor...
 
PhD_Projects_Portfolio
PhD_Projects_PortfolioPhD_Projects_Portfolio
PhD_Projects_Portfolio
 
Module PHY6002 Inorganic Semiconductor Nanostructures Lectur.docx
Module PHY6002 Inorganic Semiconductor Nanostructures Lectur.docxModule PHY6002 Inorganic Semiconductor Nanostructures Lectur.docx
Module PHY6002 Inorganic Semiconductor Nanostructures Lectur.docx
 
Modelling of next zen memory cell using low power consuming high speed nano d...
Modelling of next zen memory cell using low power consuming high speed nano d...Modelling of next zen memory cell using low power consuming high speed nano d...
Modelling of next zen memory cell using low power consuming high speed nano d...
 
Fabrication and simulating solar cell devices using silvaco tcad tools
Fabrication and simulating solar cell devices using silvaco tcad toolsFabrication and simulating solar cell devices using silvaco tcad tools
Fabrication and simulating solar cell devices using silvaco tcad tools
 
Particle flow calorimeter with ASIC readout
Particle flow calorimeter with ASIC readoutParticle flow calorimeter with ASIC readout
Particle flow calorimeter with ASIC readout
 
Intel CPU Manufacturing Process
Intel CPU Manufacturing ProcessIntel CPU Manufacturing Process
Intel CPU Manufacturing Process
 
Report on particle detectors
Report on particle detectorsReport on particle detectors
Report on particle detectors
 

Recently uploaded

Recently uploaded (20)

Speed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in MinutesSpeed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in Minutes
 
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone KomSalesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
 
Extensible Python: Robustness through Addition - PyCon 2024
Extensible Python: Robustness through Addition - PyCon 2024Extensible Python: Robustness through Addition - PyCon 2024
Extensible Python: Robustness through Addition - PyCon 2024
 
The Metaverse: Are We There Yet?
The  Metaverse:    Are   We  There  Yet?The  Metaverse:    Are   We  There  Yet?
The Metaverse: Are We There Yet?
 
Optimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through ObservabilityOptimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through Observability
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
 
Introduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG EvaluationIntroduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG Evaluation
 
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
 
Demystifying gRPC in .Net by John Staveley
Demystifying gRPC in .Net by John StaveleyDemystifying gRPC in .Net by John Staveley
Demystifying gRPC in .Net by John Staveley
 
Buy Epson EcoTank L3210 Colour Printer Online.pptx
Buy Epson EcoTank L3210 Colour Printer Online.pptxBuy Epson EcoTank L3210 Colour Printer Online.pptx
Buy Epson EcoTank L3210 Colour Printer Online.pptx
 
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
 
Free and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
Free and Effective: Making Flows Publicly Accessible, Yumi IbrahimzadeFree and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
Free and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
 
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptxWSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
 
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
 
Where to Learn More About FDO _ Richard at FIDO Alliance.pdf
Where to Learn More About FDO _ Richard at FIDO Alliance.pdfWhere to Learn More About FDO _ Richard at FIDO Alliance.pdf
Where to Learn More About FDO _ Richard at FIDO Alliance.pdf
 
AI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří KarpíšekAI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří Karpíšek
 
UiPath Test Automation using UiPath Test Suite series, part 2
UiPath Test Automation using UiPath Test Suite series, part 2UiPath Test Automation using UiPath Test Suite series, part 2
UiPath Test Automation using UiPath Test Suite series, part 2
 
Top 10 Symfony Development Companies 2024
Top 10 Symfony Development Companies 2024Top 10 Symfony Development Companies 2024
Top 10 Symfony Development Companies 2024
 
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya HalderCustom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
 
Connecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAKConnecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAK
 

Belle II Detector

  • 1. Tutorial 1 1/11 Rishabh Singh Sisodia IIT BHU Belle II Detector
  • 2. B factory 2/11 Rishabh Singh Sisodia IIT BHU B-factory, or a beauty factory, is a particle collider experiment designed to produce and detect a large number of B mesons so that their properties and behavior can be measured. Tauons and D mesons are also produced at B-factories. Three "next generation" B-factories were to be built in the 2010s and 2020s: • SuperB near Rome in Italy (SuperB was canceled); • SuperPEP-II, an upgrade to the PEP-II accelerator (never acted upon); • Belle II, an upgrade to Belle (started taking data in 2018) • Quark content of B mesons.
  • 3. Introduction 3/11 Rishabh Singh Sisodia IIT BHU The Belle experiment was a particle physics experiment conducted by the Belle Collaboration, at the High Energy Accelerator Research Organization (KEK) in Tsukuba, Japan. The experiment ran from 1999 to 2010. The Belle II experiment is an upgrade of Belle that was approved in June 2010. It started operation in 2018. Belle II is located at SuperKEKB (an upgraded KEKB accelerator).
  • 4. Terminology 4/11 Rishabh Singh Sisodia IIT BHU 1) Luminosity : Luminosity is a measure of how efficiently a particle accelerator produces collision events. The luminosity of the accelerator determines the rate at which these collisions take place. 2) Particle Identification: The goal of the particle identification or PID is to identify a type of a particle associated with a track using responses from different systems. 3) Trigger System: A trigger is a system that uses simple criteria to rapidly decide which events in a particle detector to keep when only a small fraction of the total can be recorded. Trigger systems are necessary due to real-world limitations in data storage capacity and rates. 4) Time Resolution: The time resolution is defined by how accurately the time at which a particle crossed the detector can be determined. 5) Spatial Resolution: This is the measure of the accuracy to which the position of the particle trajectory may be localized.
  • 5. Belle II Detector 5/11 Rishabh Singh Sisodia IIT BHU Image source: https://www.phy.olemiss.edu/HEP/belle2/index.html
  • 6. Vertex Detector (VXD) 6/11 Rishabh Singh Sisodia IIT BHU The Belle II vertex detector is comprised of two sub detectors: 1) The Silicon Pixel Detector (PXD) 2) The Silicon Vertex Detector (SVD) • The PXD makes up the inner two layers at 𝑟 = 14 mm and 𝑟 = 22 mm radii. • The SVD constitutes the four outer layers of the VXD, with double-sided silicon strip ladders at radii of 39 mm, 80 mm, 104 mm, and 135 mm, respectively. Image source: M. Friedl et al, The Belle II Silicon Vertex Detector, Physics Procedia 37 ( 2012 ) 867 – 873
  • 7. The Silicon Pixel Detector (PXD) 7/11 Rishabh Singh Sisodia IIT BHU The pixel detector contains 65 million pixels, allowing it to track the paths of particles emerging from the Collision with extreme accuracy. This is based on Depleted field effect transistors (DEPFET) technology. Each layer is spilt into segments having little silicon sensors. When a charged particle passes through it gives enough energy for electrons to be ejected from the silicon atoms, creating electron-hole pairs. Each pixel uses an electric current to collect these charges on the surface as a small electric signal. Knowing which pixels have been touched allows us to deduce the particle's trajectory. However, being so close to the collision means that the number of particles passing through is huge; the rate of particles received 8cm from the beam line will be around 10 million particles per square centimeter per second. Image source: https://cms.cern/detector/identifying-tracks/silicon-pixels
  • 8. Silicon Vertex Detector (SVD) 8/11 Rishabh Singh Sisodia IIT BHU The SVD is made of Double-Sided Silicon micro-strip Detectors (DSSDs). A silicon strip detector is an arrangement of strip like shaped implants acting as charge collecting electrodes. The innermost SVD layer has small rectangular sensors . The other three layers are composed of two types of sensors: a) large rectangular sensors (named barrel sensors) b) slanted sensors with a trapezoidal shape, which improves acceptance and precision for forward boosted particles. Image source: https://web.infn.it/Belle-II/index.php/detector/svd
  • 9. Central Drift Chamber (CDC) 9/11 Rishabh Singh Sisodia IIT BHU  The CDC reconstructs the trajectories of charged particles to precisely determine their momenta and provides particle identification in the low momentum region. In addition, it also generates trigger information for charged particles.  The Belle-II CDC is cylindrical a large volume gas drift chamber with small drift cells with 14336 sense wires, sense wires arranged in 56 layers, either in axial orientation (aligned with the solenoidal magnetic field) or stereo (skewed with respect to the axial wires).  The chamber has smaller drift cells than the one used in Belle to be operate at high event rates.  The chamber gas is comprised of a He-C2H6 50:50 mixture.  By combining information from axial and stereo layers it is possible to reconstruct a full 3D helix track.
  • 10. Principle of Drift Chamber 10/11 Rishabh Singh Sisodia IIT BHU  The drift chamber works on ionization.  As a charged particle passes through the gas, it ionizes the gas atoms.  These atoms then feel the force of an electric potential and drift towards wires that register a signal.  Knowledge of the drift time (time from ionization to signal) and the drift velocity in the gas allows one to determine the position of the incoming particle.  Stacking several drift chambers on top of one another allows one to resolve a track left by the particle, which can give information such as incoming angle.  If there is an applied magnetic field, the track will curve and one can then determine the momentum of the particle.
  • 11. Plan for Next Tutorial 11/11 Rishabh Singh Sisodia IIT BHU  Particle identification system (TOP and ARICH)  Electromagnetic Calorimeter (ECL)  KL- Muon Detector (KLM)  Trigger System