SlideShare a Scribd company logo
1 of 16
B-Physics Trigger Working Group  Status Report http://hepunx.rl.ac.uk/atlasuk/simulation/level2/meetings/AweekFeb01/ Bphys210201.ppt Bphys210201.pdf Bphys210201.ps  John Baines ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example B-Physics Trigger Menu ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object], bb  eX B d (J/  (  )K 0 )  bb   X B d (J/  (ee)K o )  bb   X B d (J/  (ee)K o )   B d       B d   J/  (  )(K/K*) B s   J/  (  )  B   B  K 0 *  , etc.  b    0  J/  (  ) B c   J/  (  )  ,[object Object],[object Object],[object Object],B   B  K 0 *  , etc. B s   D s     B s   D s  a 1 D s    o    ,   o   K  K  To be studied further.
B-physics Trigger Rates  Status at TDAQ Week Nov 2000 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Level-2  6 +   5  6 + e5  6 + B(  )  6 + D s (  (KK)    6 + J/  (ee) Total (B-physics triggers) 100 Hz 50 Hz 50 Hz 150 Hz 200 Hz 550 Hz muon p T >6  Level-1 23 kHz muon p T >6 (ID+muon)  Level-2 5 kHz EF B d,s   - >   (X) (   p T >6) J/    - >     6 + B(  )  6 + D s (  (KK)    6 + J/  (ee) Total (B-physics triggers) small 10 Hz 5 Hz 25 Hz 20 Hz 60 Hz muon p T >6 (ID+muon)  EF 5 kHz
B d        Trigger Efficiency for B    events with  pile-up (L = 10 33  cm -2 s -1 ): 78% :  B    events, p T  (  ,  )   > 4 GeV 93% :  B    events selected offline 0.93% :  Background B   X events  Level-2 rate ~50 Hz for 5 kHz   6 EF selection reduces rate to ~5 Hz ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],o ,[object Object],[object Object],[object Object],[object Object],+ -  xy L xy Decay Vertex 10  15  20  25  30  35  40  45  50   p T  of B d  (GeV) B d  p T  spectrum  both    p T >4 GeV 100 80 60 40 20 0 Level-2  Efficiency (%) x y LVL2 0  2  4  6  8 M(       (GeV) Signal Events + min. bias
D s     Trigger o ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],New selection cuts by Innsbruck ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Effect of higher muon p T  threshold:  D s (KK)   trigger   Study by  Innsbruck  of impact of raising muon p T  threshold on D s (KK)   trigger Signal efficiency falls of fairly rapidly, more rapidly than background.
J/  e  e  Trigger ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],+ - ,[object Object],[object Object],[object Object],Level-2 Efficiencies for  B d   J/  (ee)K s  events with pile-up  (L = 10 33  cm -2 s -1 ): 44% :  Signal events with  p T  (e,e) > 1.5 GeV 57% :  Events selected offline 4% :  Background B   X  events  Level-2 Trigger rate ~200 Hz  for 5 kHz   6 EF selection reduces rate  to ~20 Hz o Signal Events + Min. Bias 0  1  2  3  4  5  M(ee) (GeV) LVL2
Effect of electron p T  Threshold 25 20 15 10 5 0 Rate (Hz) Signal Efficiency (%) Efficiency for B d  - > J/  (ee) K 0 (  )   Rate for B  - >    X + pile-up for 5 kHz   6 rate p T  cut (GeV) p T  cut (GeV) 0.5  1.0  1.5  2.0  2.5  3.0 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],100 80 60 40 20 0 0.5  1.0  1.5  2.0  2.5  3.0
B-physics Trigger Rates -  Example of tighter cuts   muon p T >6 (ID+muon)  EF 5 kHz ,[object Object],[object Object],small 10 Hz 5 Hz 13 Hz 10 Hz 38 Hz 5 kHz Notes: Assuming offline-type selection Estimate (conservative?)  (Signal ~2 Hz, Bg about same) Rounded up from 3 Hz from Flora Mass cuts tightened to 3  offline  add    transverse decay length cut.. p T  threshold raised to 0.8 GeV => 4% signal loss. EF B d,s   - >   (X) (   p T >6) J/    - >     6 + B(  )  6 + D s (  (KK)    6 + J/  (ee) Total (B-physics triggers) small 10 Hz 5 Hz 25 Hz 20 Hz 60 Hz
LVL2 Robustness Studies Misalignment (  m) Misalignment (  m) 1  10  100  1000 1  10  100  1000 90 80 70 60 50 40 Efficiency (%)  D s  (MeV) 60 40 20 Effect of Pixel Barrel Misalignment on B(  ) trigger Effect of SCT barrel Misalignment on D s (  (KK)  ) trigger Fraction of Hits/Spacepoints deleted  60 50 40 30 Efficiency (%) 0.001  0.01  0.1 Effect of inefficiency on D s (  (KK)  ) trigger  Pixel Barrel  15  30 Endcap  50  100 Limits on R   precision  (  m) for signal loss <2%  <5% SCT Barrel  60  100 Endcap  80  100
Future Work - Robustness ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Easter 2001 Moscow End 2001?? Who?? Easter 2001 Moscow
Future Work - LVL2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Need new data-sets => Spring 2002?? Time-scales set by PESA s/w group - September 2001 Autumn 2001?? All Need muon code and new data-sets. Probably use new framework => Mid 2002 Autumn 2002? End 2001?
Future Work - EF Selection ,[object Object],[object Object],[object Object],[object Object],[object Object],Pythia studies : Easter 2001 September 2001?? Need new data-sets => Spring 2002?? Need all algorithms in new framework Mid 2002?? Moscow, Innsbruck? Full simulation - needs data-sets => End 2001?? Moscow (Nikolai) B Physics WG Who??
Datasets ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Easter 2001? Autumn 2001?? End 2001??
B-trigger Workplan 2002 2001 Mar Apr  May  Jun Jul  Aug  Sep  Oct  Nov  Dec Jan Feb  Mar  Apr  May  Jun Jul  Aug  Sep  Oct  Nov  Dec Pythia studies EF: B   (X) full sim. studies EF Timing Timing for B selection J/  , TRT Robustness EF Robustness studies Algorithm develop. Pixel scan incl. SCT LVL2 vertexing Studies in  New f-w cTrig Functionality New s/w Reconstruct e in RoI from ID Reconstruct   in RoI from ID repr. TP results verify TP - new layout add LVL1 + LVL2 mu TP results + mu Full B-menu ID sngl prt Dataset Prd. New layout  Sig. & bg all det.
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

More Related Content

What's hot

射頻電子 - [實驗第一章] 基頻放大器設計
射頻電子 - [實驗第一章] 基頻放大器設計射頻電子 - [實驗第一章] 基頻放大器設計
射頻電子 - [實驗第一章] 基頻放大器設計Simen Li
 
射頻電子 - [第六章] 低雜訊放大器設計
射頻電子 - [第六章] 低雜訊放大器設計射頻電子 - [第六章] 低雜訊放大器設計
射頻電子 - [第六章] 低雜訊放大器設計Simen Li
 
R package 'bayesImageS': a case study in Bayesian computation using Rcpp and ...
R package 'bayesImageS': a case study in Bayesian computation using Rcpp and ...R package 'bayesImageS': a case study in Bayesian computation using Rcpp and ...
R package 'bayesImageS': a case study in Bayesian computation using Rcpp and ...Matt Moores
 
Metodo Monte Carlo -Wang Landau
Metodo Monte Carlo -Wang LandauMetodo Monte Carlo -Wang Landau
Metodo Monte Carlo -Wang Landauangely alcendra
 
Quantum logic synthesis (srikanth)
Quantum logic synthesis (srikanth)Quantum logic synthesis (srikanth)
Quantum logic synthesis (srikanth)bitra11
 
射頻電子 - [第二章] 傳輸線理論
射頻電子 - [第二章] 傳輸線理論射頻電子 - [第二章] 傳輸線理論
射頻電子 - [第二章] 傳輸線理論Simen Li
 
An evaluation of gnss code and phase solutions
An evaluation of gnss code and phase solutionsAn evaluation of gnss code and phase solutions
An evaluation of gnss code and phase solutionsAlexander Decker
 
bayesImageS: Bayesian computation for medical Image Segmentation using a hidd...
bayesImageS: Bayesian computation for medical Image Segmentation using a hidd...bayesImageS: Bayesian computation for medical Image Segmentation using a hidd...
bayesImageS: Bayesian computation for medical Image Segmentation using a hidd...Matt Moores
 
Slides: Simplifying Gaussian Mixture Models Via Entropic Quantization (EUSIPC...
Slides: Simplifying Gaussian Mixture Models Via Entropic Quantization (EUSIPC...Slides: Simplifying Gaussian Mixture Models Via Entropic Quantization (EUSIPC...
Slides: Simplifying Gaussian Mixture Models Via Entropic Quantization (EUSIPC...Frank Nielsen
 
射頻電子 - [第三章] 史密斯圖與阻抗匹配
射頻電子 - [第三章] 史密斯圖與阻抗匹配射頻電子 - [第三章] 史密斯圖與阻抗匹配
射頻電子 - [第三章] 史密斯圖與阻抗匹配Simen Li
 
電路學 - [第二章] 電路分析方法
電路學 - [第二章] 電路分析方法電路學 - [第二章] 電路分析方法
電路學 - [第二章] 電路分析方法Simen Li
 
ECCV2008: MAP Estimation Algorithms in Computer Vision - Part 1
ECCV2008: MAP Estimation Algorithms in Computer Vision - Part 1ECCV2008: MAP Estimation Algorithms in Computer Vision - Part 1
ECCV2008: MAP Estimation Algorithms in Computer Vision - Part 1zukun
 
Orthogonal Faster than Nyquist Transmission for SIMO Wireless Systems
Orthogonal Faster than Nyquist Transmission for SIMO Wireless SystemsOrthogonal Faster than Nyquist Transmission for SIMO Wireless Systems
Orthogonal Faster than Nyquist Transmission for SIMO Wireless SystemsT. E. BOGALE
 

What's hot (20)

射頻電子 - [實驗第一章] 基頻放大器設計
射頻電子 - [實驗第一章] 基頻放大器設計射頻電子 - [實驗第一章] 基頻放大器設計
射頻電子 - [實驗第一章] 基頻放大器設計
 
Graph Kernelpdf
Graph KernelpdfGraph Kernelpdf
Graph Kernelpdf
 
射頻電子 - [第六章] 低雜訊放大器設計
射頻電子 - [第六章] 低雜訊放大器設計射頻電子 - [第六章] 低雜訊放大器設計
射頻電子 - [第六章] 低雜訊放大器設計
 
R package 'bayesImageS': a case study in Bayesian computation using Rcpp and ...
R package 'bayesImageS': a case study in Bayesian computation using Rcpp and ...R package 'bayesImageS': a case study in Bayesian computation using Rcpp and ...
R package 'bayesImageS': a case study in Bayesian computation using Rcpp and ...
 
Metodo Monte Carlo -Wang Landau
Metodo Monte Carlo -Wang LandauMetodo Monte Carlo -Wang Landau
Metodo Monte Carlo -Wang Landau
 
Quantum logic synthesis (srikanth)
Quantum logic synthesis (srikanth)Quantum logic synthesis (srikanth)
Quantum logic synthesis (srikanth)
 
Bk044382388
Bk044382388Bk044382388
Bk044382388
 
射頻電子 - [第二章] 傳輸線理論
射頻電子 - [第二章] 傳輸線理論射頻電子 - [第二章] 傳輸線理論
射頻電子 - [第二章] 傳輸線理論
 
Slide11 icc2015
Slide11 icc2015Slide11 icc2015
Slide11 icc2015
 
An evaluation of gnss code and phase solutions
An evaluation of gnss code and phase solutionsAn evaluation of gnss code and phase solutions
An evaluation of gnss code and phase solutions
 
bayesImageS: Bayesian computation for medical Image Segmentation using a hidd...
bayesImageS: Bayesian computation for medical Image Segmentation using a hidd...bayesImageS: Bayesian computation for medical Image Segmentation using a hidd...
bayesImageS: Bayesian computation for medical Image Segmentation using a hidd...
 
Slides: Simplifying Gaussian Mixture Models Via Entropic Quantization (EUSIPC...
Slides: Simplifying Gaussian Mixture Models Via Entropic Quantization (EUSIPC...Slides: Simplifying Gaussian Mixture Models Via Entropic Quantization (EUSIPC...
Slides: Simplifying Gaussian Mixture Models Via Entropic Quantization (EUSIPC...
 
射頻電子 - [第三章] 史密斯圖與阻抗匹配
射頻電子 - [第三章] 史密斯圖與阻抗匹配射頻電子 - [第三章] 史密斯圖與阻抗匹配
射頻電子 - [第三章] 史密斯圖與阻抗匹配
 
電路學 - [第二章] 電路分析方法
電路學 - [第二章] 電路分析方法電路學 - [第二章] 電路分析方法
電路學 - [第二章] 電路分析方法
 
ECCV2008: MAP Estimation Algorithms in Computer Vision - Part 1
ECCV2008: MAP Estimation Algorithms in Computer Vision - Part 1ECCV2008: MAP Estimation Algorithms in Computer Vision - Part 1
ECCV2008: MAP Estimation Algorithms in Computer Vision - Part 1
 
Orthogonal Faster than Nyquist Transmission for SIMO Wireless Systems
Orthogonal Faster than Nyquist Transmission for SIMO Wireless SystemsOrthogonal Faster than Nyquist Transmission for SIMO Wireless Systems
Orthogonal Faster than Nyquist Transmission for SIMO Wireless Systems
 
Aistats RTD
Aistats RTDAistats RTD
Aistats RTD
 
Biochip
BiochipBiochip
Biochip
 
Ec gate 13
Ec gate 13Ec gate 13
Ec gate 13
 
Interview questions
Interview questionsInterview questions
Interview questions
 

Viewers also liked

Biometria Papp Tamás
Biometria Papp TamásBiometria Papp Tamás
Biometria Papp TamásTamás Papp
 
BpSM 2013.03. - Papp Krisztián: Egy chip-etnyi immunológia
BpSM 2013.03. - Papp Krisztián: Egy chip-etnyi immunológiaBpSM 2013.03. - Papp Krisztián: Egy chip-etnyi immunológia
BpSM 2013.03. - Papp Krisztián: Egy chip-etnyi immunológiaBudapest Science Meetup
 
דרופל וחווית משתמש
דרופל וחווית משתמשדרופל וחווית משתמש
דרופל וחווית משתמשMichael Shmilov
 
BpSM 2014.05.: Aliczki Manó: Kannabinoidkezelések a szorongásos zavarok teráp...
BpSM 2014.05.: Aliczki Manó: Kannabinoidkezelések a szorongásos zavarok teráp...BpSM 2014.05.: Aliczki Manó: Kannabinoidkezelések a szorongásos zavarok teráp...
BpSM 2014.05.: Aliczki Manó: Kannabinoidkezelések a szorongásos zavarok teráp...Budapest Science Meetup
 
si te gusta la informacion Revista sepalo
si te gusta la informacion Revista sepalosi te gusta la informacion Revista sepalo
si te gusta la informacion Revista sepalo1007730600
 
BpSM 2013.04. - Molnár László: Meteor
BpSM 2013.04. - Molnár László: MeteorBpSM 2013.04. - Molnár László: Meteor
BpSM 2013.04. - Molnár László: MeteorBudapest Science Meetup
 

Viewers also liked (8)

Biometria Papp Tamás
Biometria Papp TamásBiometria Papp Tamás
Biometria Papp Tamás
 
Rieder norbert gbqthd
Rieder norbert gbqthdRieder norbert gbqthd
Rieder norbert gbqthd
 
BpSM 2013.03. - Papp Krisztián: Egy chip-etnyi immunológia
BpSM 2013.03. - Papp Krisztián: Egy chip-etnyi immunológiaBpSM 2013.03. - Papp Krisztián: Egy chip-etnyi immunológia
BpSM 2013.03. - Papp Krisztián: Egy chip-etnyi immunológia
 
דרופל וחווית משתמש
דרופל וחווית משתמשדרופל וחווית משתמש
דרופל וחווית משתמש
 
BpSM 2014.05.: Aliczki Manó: Kannabinoidkezelések a szorongásos zavarok teráp...
BpSM 2014.05.: Aliczki Manó: Kannabinoidkezelések a szorongásos zavarok teráp...BpSM 2014.05.: Aliczki Manó: Kannabinoidkezelések a szorongásos zavarok teráp...
BpSM 2014.05.: Aliczki Manó: Kannabinoidkezelések a szorongásos zavarok teráp...
 
si te gusta la informacion Revista sepalo
si te gusta la informacion Revista sepalosi te gusta la informacion Revista sepalo
si te gusta la informacion Revista sepalo
 
Gocce di pace
Gocce di paceGocce di pace
Gocce di pace
 
BpSM 2013.04. - Molnár László: Meteor
BpSM 2013.04. - Molnár László: MeteorBpSM 2013.04. - Molnár László: Meteor
BpSM 2013.04. - Molnár László: Meteor
 

Similar to Pixel rf

Results from WZ, Higgs and Top for the Summer Conferences
Results from WZ, Higgs and Top for the Summer ConferencesResults from WZ, Higgs and Top for the Summer Conferences
Results from WZ, Higgs and Top for the Summer ConferencesMedicineAndHealthNeurolog
 
RF Module Design - [Chapter 1] From Basics to RF Transceivers
RF Module Design - [Chapter 1] From Basics to RF TransceiversRF Module Design - [Chapter 1] From Basics to RF Transceivers
RF Module Design - [Chapter 1] From Basics to RF TransceiversSimen Li
 
Multiband Transceivers - [Chapter 1]
Multiband Transceivers - [Chapter 1] Multiband Transceivers - [Chapter 1]
Multiband Transceivers - [Chapter 1] Simen Li
 
Frequency Modulation.ppt
Frequency Modulation.pptFrequency Modulation.ppt
Frequency Modulation.pptStefan Oprea
 
射頻電子 - [第一章] 知識回顧與通訊系統簡介
射頻電子 - [第一章] 知識回顧與通訊系統簡介射頻電子 - [第一章] 知識回顧與通訊系統簡介
射頻電子 - [第一章] 知識回顧與通訊系統簡介Simen Li
 
Modern Control - Lec 05 - Analysis and Design of Control Systems using Freque...
Modern Control - Lec 05 - Analysis and Design of Control Systems using Freque...Modern Control - Lec 05 - Analysis and Design of Control Systems using Freque...
Modern Control - Lec 05 - Analysis and Design of Control Systems using Freque...Amr E. Mohamed
 
Modal Analysis Basic Theory
Modal Analysis Basic TheoryModal Analysis Basic Theory
Modal Analysis Basic TheoryYuanCheng38
 
Presentació renovables
Presentació renovablesPresentació renovables
Presentació renovablesJordi Cusido
 
Cycle’s topological optimizations and the iterative decoding problem on gener...
Cycle’s topological optimizations and the iterative decoding problem on gener...Cycle’s topological optimizations and the iterative decoding problem on gener...
Cycle’s topological optimizations and the iterative decoding problem on gener...Usatyuk Vasiliy
 
On The Fundamental Aspects of Demodulation
On The Fundamental Aspects of DemodulationOn The Fundamental Aspects of Demodulation
On The Fundamental Aspects of DemodulationCSCJournals
 
RF Module Design - [Chapter 8] Phase-Locked Loops
RF Module Design - [Chapter 8] Phase-Locked LoopsRF Module Design - [Chapter 8] Phase-Locked Loops
RF Module Design - [Chapter 8] Phase-Locked LoopsSimen Li
 
LHC limits on the Higgs-portal WIMPs
LHC limits on the Higgs-portal WIMPsLHC limits on the Higgs-portal WIMPs
LHC limits on the Higgs-portal WIMPsYoshitaro Takaesu
 
FPGA based BCH Decoder
FPGA based BCH DecoderFPGA based BCH Decoder
FPGA based BCH Decoderijsrd.com
 

Similar to Pixel rf (20)

Results from WZ, Higgs and Top for the Summer Conferences
Results from WZ, Higgs and Top for the Summer ConferencesResults from WZ, Higgs and Top for the Summer Conferences
Results from WZ, Higgs and Top for the Summer Conferences
 
RF Module Design - [Chapter 1] From Basics to RF Transceivers
RF Module Design - [Chapter 1] From Basics to RF TransceiversRF Module Design - [Chapter 1] From Basics to RF Transceivers
RF Module Design - [Chapter 1] From Basics to RF Transceivers
 
Multiband Transceivers - [Chapter 1]
Multiband Transceivers - [Chapter 1] Multiband Transceivers - [Chapter 1]
Multiband Transceivers - [Chapter 1]
 
Frequency Modulation.ppt
Frequency Modulation.pptFrequency Modulation.ppt
Frequency Modulation.ppt
 
Rare B strangeness decay
Rare B strangeness decayRare B strangeness decay
Rare B strangeness decay
 
射頻電子 - [第一章] 知識回顧與通訊系統簡介
射頻電子 - [第一章] 知識回顧與通訊系統簡介射頻電子 - [第一章] 知識回顧與通訊系統簡介
射頻電子 - [第一章] 知識回顧與通訊系統簡介
 
frequency responce.ppt
frequency responce.pptfrequency responce.ppt
frequency responce.ppt
 
Modern Control - Lec 05 - Analysis and Design of Control Systems using Freque...
Modern Control - Lec 05 - Analysis and Design of Control Systems using Freque...Modern Control - Lec 05 - Analysis and Design of Control Systems using Freque...
Modern Control - Lec 05 - Analysis and Design of Control Systems using Freque...
 
Modal Analysis Basic Theory
Modal Analysis Basic TheoryModal Analysis Basic Theory
Modal Analysis Basic Theory
 
Chib paper approval
Chib paper approvalChib paper approval
Chib paper approval
 
12
1212
12
 
Presentació renovables
Presentació renovablesPresentació renovables
Presentació renovables
 
Bode Plot Notes Step by Step
Bode Plot Notes Step by StepBode Plot Notes Step by Step
Bode Plot Notes Step by Step
 
Cycle’s topological optimizations and the iterative decoding problem on gener...
Cycle’s topological optimizations and the iterative decoding problem on gener...Cycle’s topological optimizations and the iterative decoding problem on gener...
Cycle’s topological optimizations and the iterative decoding problem on gener...
 
On The Fundamental Aspects of Demodulation
On The Fundamental Aspects of DemodulationOn The Fundamental Aspects of Demodulation
On The Fundamental Aspects of Demodulation
 
2017 a
2017 a2017 a
2017 a
 
calibpi0
calibpi0calibpi0
calibpi0
 
RF Module Design - [Chapter 8] Phase-Locked Loops
RF Module Design - [Chapter 8] Phase-Locked LoopsRF Module Design - [Chapter 8] Phase-Locked Loops
RF Module Design - [Chapter 8] Phase-Locked Loops
 
LHC limits on the Higgs-portal WIMPs
LHC limits on the Higgs-portal WIMPsLHC limits on the Higgs-portal WIMPs
LHC limits on the Higgs-portal WIMPs
 
FPGA based BCH Decoder
FPGA based BCH DecoderFPGA based BCH Decoder
FPGA based BCH Decoder
 

Recently uploaded

Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rick Flair
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Hiroshi SHIBATA
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Strongerpanagenda
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch TuesdayIvanti
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesThousandEyes
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfNeo4j
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfIngrid Airi González
 
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...Scott Andery
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Mark Goldstein
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Manual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditManual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditSkynet Technologies
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...AliaaTarek5
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentPim van der Noll
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 

Recently uploaded (20)

Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch Tuesday
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdf
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdf
 
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Manual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditManual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance Audit
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 

Pixel rf

  • 1.
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. Effect of higher muon p T threshold: D s (KK)  trigger Study by Innsbruck of impact of raising muon p T threshold on D s (KK)  trigger Signal efficiency falls of fairly rapidly, more rapidly than background.
  • 7.
  • 8.
  • 9.
  • 10. LVL2 Robustness Studies Misalignment (  m) Misalignment (  m) 1 10 100 1000 1 10 100 1000 90 80 70 60 50 40 Efficiency (%)  D s (MeV) 60 40 20 Effect of Pixel Barrel Misalignment on B(  ) trigger Effect of SCT barrel Misalignment on D s (  (KK)  ) trigger Fraction of Hits/Spacepoints deleted 60 50 40 30 Efficiency (%) 0.001 0.01 0.1 Effect of inefficiency on D s (  (KK)  ) trigger Pixel Barrel 15 30 Endcap 50 100 Limits on R  precision (  m) for signal loss <2% <5% SCT Barrel 60 100 Endcap 80 100
  • 11.
  • 12.
  • 13.
  • 14.
  • 15. B-trigger Workplan 2002 2001 Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Pythia studies EF: B  (X) full sim. studies EF Timing Timing for B selection J/  , TRT Robustness EF Robustness studies Algorithm develop. Pixel scan incl. SCT LVL2 vertexing Studies in New f-w cTrig Functionality New s/w Reconstruct e in RoI from ID Reconstruct  in RoI from ID repr. TP results verify TP - new layout add LVL1 + LVL2 mu TP results + mu Full B-menu ID sngl prt Dataset Prd. New layout Sig. & bg all det.
  • 16.

Editor's Notes

  1. bb Separation is 0-2  =&gt; b }  doesn’t indicate region for other b p T of b products is peaked at low values (&lt;~10GeV) muon trigger min p T ~6 GeV Calorimeter trigger pT &gt;? =&gt; use ID full-scan
  2. Histogram for signal events Open histo : all combinations Filled : “best” : hatched : correct. cross-hatched - incorrect