differentiate shoulder pulse

Slides:



Advertisements
Similar presentations
Automated Chart Pattern Identification
Advertisements

Computer Basics Hit List of Items to Talk About ● What and when to use left, right, middle, double and triple click? What and when to use left, right,
Standard Data Analysis - Integration
Backing Up a Hard Disk CGS2564. Why Backup Programs? Faster Optimized to copy files Can specify only files that have changed Safer Can verify backed up.
Word Lesson 1 Microsoft Word Basics
New York Times, Budget Puzzle 1.What is the predicted budget shortfall in 2015? In 2030?( how old will you be then?) 2.List 3 spending cuts you made &
EH1 (AD 1&2, IWS, OWS) PMT Jul. 30 – Aug. 20 RollingGain Calibration Summary Zhe Wang (BNL) and Qing He (Princeton) Aug. 22, 2011.
Background Subtraction Fitting technique: Fit mass with G 1 + G 2 + a + b/x Background is G 1 + a + b/x Use 3  cut Goal: put limit on systematic error.
Veto Wall Test Hyupwoo Lee MINERvA/Jupiter Group Meeting Apr, 16, 2008.
Viewdist Plotting Program for quick visualisation of distributions Harry Beeby & Sarah Medland Queensland Institute of Medical Research.
K1.8 meeting Report from E05 group Toshiyuki Gogami 26 Dec 2014.
1 Beetle xtalk measurements with test pulse at NIKHEF, B1.4 and B1.5 Aras Papadelis.
 decimals/cc-7th-fracs-to-decimals/v/converting-fractions-to-decimals-example.
Estimating a Population Standard Deviation. Chi-Square Distribution.
Jewish History and Culture Pathway. What is it ? Option to study History with a focus on Jewish History and Culture Distinct from Single Honours History.
“End station A setup” data analysis Josef Uher. Outline Introduction to setup and analysis Quartz bar start counter MA and MCP PMT in the prototype.
1 Word Lesson 1 Microsoft Word Basics Microsoft Office 2010 Introductory Pasewark & Pasewark.
 Lori Rebenitsch University of Winnipeg June 17,
Intro to Sorting Intro to Computer Science CS1510 Dr. Sarah Diesburg.
Exploring Exponential Functions. Exponential Function The independent variable (x) is an exponent. f(x) = a b x “a” cannot be zero, “b” cannot be one.
Charge Sharing & Hit Identification & Cluster Information.
Objectives: Determine the Future Value of a Lump Sum of Money Determine the Present Value of a Lump Sum of Money Determine the Time required to Double.
1 Angle dependence of residual in Z niiyama lambda < 10 Layer 5 Lambda > 70 layer4 Wave form of signal depends on the angle between the track and the pad.
By: David Gelbendorf, Hila Ben-Moshe Supervisor : Alon Zvirin
By the end of this section, you will be able to: 1. Determine the number and type of roots for a polynomial equation; 2. Find the zeros of a polynomial.
Measuring  a in the New experiment D. Hertzog / June 2004 n Plan that rates could be 7 x higher n Plan that new WFDs will have deep memory n Plan that.
Lesson 3 Notes. 1.Existing presentations can be opened and modified 2.You can open an existing presentation by choosing Open under the File Tab, by double.
Feature Extractor Dima Chirkin, LBNL The future is here.
Performance of Trigger counter for WC test Toshiyuki Gogami 3Dec2014.
Naming Hydrocarbons Use your textbook to complete: 1.Naming organic compounds uses prefixes and _________. 2.Alkane names end with the suffix ____. The.
Approximating Change Goto Calculus-Help.comCalculus-Help.com Revision: Differentiation by First Principles.
Effect of Change The effects on perimeter, area, and volume when dimensions are changed proportionally.
Chi Square Test for Goodness of Fit Determining if our sample fits the way it should be.
Unit 7 Section : Confidence Intervals for Variances and Standard Deviations  In 7-2 to 7-4 we determined confidence intervals for means and proportions.
1 Word Lesson 1 Microsoft Word Basics Microsoft Office 2010 Introductory Pasewark & Pasewark.
Current Status of MDC Track Reconstruction MdcPatRec Zhang Yao, Zhang Xueyao
1 TPC Meeting Institute of Physics, Academia Sinica Jia-Ye Chen
Development of a pad interpolation algorithm using charge-sharing.
Goal Setting When setting goals, they should be: – Specific – Measurable – Attainable – Relevant – Time Bound
Pile-Up Pulse Decomposition Jia-Ye Chen
Universal Gravitation Problems Universal Gravitation Problems
AP Statistics Chapter 13 Section 1. 2 kinds of Chi – Squared tests 1.Chi-square goodness of fit – extends inference on proportions to more than 2 proportions.
Jin Huang M.I.T. For Transversity Analysis Meeting Sept 10, JLab.
Aras Papadelis. NIKHEF 1 Aras Papadelis B-physics meeting 15/ Results from the Nov2004 VELO test beam (and what followed…)
1 MPPC Timing Resolution Akito Kobayashi Shinshu University Table of contents ・ Timing Resolution ・ Set up ・ data treatment ・ result(1) ・ result(2) ・ result(3)
Effect of Change The effects on perimeter, area, and volume when dimensions are changed proportionally.
Word Lesson 1 Microsoft Word Basics
Microsoft Office PowerPoint 2007
DOUBLE AND TRIPLE TOPS AND BOTTOMS
Heart Rate Measurements
96-channel, 10-bit, 20 MSPS ADC board with Gb Ethernet optical output
Chapter 9 Vector Calculus.
Creating a Basic Document
Online DAQ Code Tutorial
Intro to Computer Science CS1510 Dr. Sarah Diesburg
課程大綱 OUTLINE Double Integrals(二重積分) Triple Integrals(三重積分)
FFT analysis Goal : Energy calibration ( systematic error estimation)
Terms used in Multiplication
Doubling and Halving.
AREA OF STUDY ONE MUSIC NOTES THEORY.
Nuclear Physics Group Meeting
Electrical Stopping Power Introduction to Resistance
differentiate double pulse
Meeting 02/11/2016 – Andreas Christou
LEPS Collaboration Meeting in Taiwan Update of TPC Analysis (II)
Pad Response Function Nuclear Physics Group Institute of Physics, Academia Sinica Jia-Ye Chen
Do Now (and then quiz on Coulomb’s law) Two charges +5C and -8C are placed 4m apart. Calculate the force they exert on each other If you can solve this.
BESIII TOF Digitization
Two methacholine dosing schemes.
Rate Laws How rate laws are determined ALWAYS experimentally
Presentation transcript:

differentiate shoulder pulse

Pileup 100% 0.75% 99.25%

Pileup 98.9% 97.65% 95.14% 85.88%

GOOD 100% 0.608% 99.4%

GOOD 98.9% 98.1% 95.8% 88.1%

percentage of pulse Pileup GOOD number pileup pulse = 54260 number of single pulse = 30534 (56.24%) number of double pulse = 22563 (41.58%) number of triple pulse = 956 ( 1.76%) number of quadruple pulse = 247 ( 0.46%) GOOD number of good pulse = 2692664 number of single pulse = 2198194 (81.64%) number of double pulse = 484378 (17.99%) number of triple pulse = 7106 ( 0.26%) number of quadruple pulse = 2986 ( 0.11%)

1. single? shoulder? bad fit!!

ΔADC ADC Δ(ΔADC))

threshold normalized Δ(ΔADC)) Δ(ΔADC)) Δ(ΔADC)) (zoom in) fail

threshold normalized Δ(ΔADC)) Δ(ΔADC)) Δ(ΔADC)) (zoom in) fail

threshold normalized Δ(ΔADC)) Δ(ΔADC)) Δ(ΔADC)) (zoom in) fail

2. shoulder? single? bad fit!!

2.neighboring pulse ΔADC Δ(ΔADC)) ADC

3. shoulder? single? bad fit!! the same case 1. lay 6 dipangle 8 hid 100029

3.neighboring pulse ΔADC Δ(ΔADC)) ADC

4.single, bad fit!!

4.neighboring pulse ΔADC Δ(ΔADC)) ADC

pile up pulse, TDC cut =3 number of pileup pulse = 54260 number of single pulse = 30534 (56.24%) number of double pulse = 22563 (41.58%) number of triple pulse = 956 ( 1.76%) number of quadruple pulse = 247 ( 0.46%) number of (1) pulse =18 (0.0074%) (percentage in double pulse (0.0177%)) (chi_square>4 , single pulse) number of (1+2+3+4) pulse =89 (0.16%) (percentage in double pulse (0.39%))

5.shoulder, bad fit!! the same case 1. lay 6 dipangle 14 hid 100038

5.neighboring pulse ΔADC ADC Δ(ΔADC)) the same case 1. lay 6 dipangle 14 hid 100038

pile up pulse, TDC cut =3 number of pileup pulse = 54260 number of single pulse = 30534 (56.24%) number of double pulse = 22563 (41.58%) number of triple pulse = 956 ( 1.76%) number of quadruple pulse = 247 ( 0.46%) number of (4) pulse =3 (0.0055%) (percentage in double pulse (0.013%)) (chi_square>4 , single pulse)

6.double, bad fit!!

6.neighboring pulse ΔADC ADC Δ(ΔADC))

longer new fit bound old (([tdc2] - [tdc1])*7. + [tdc2]) new (([tdc2] - [tdc1])*15. + [tdc2]) new fit option which can get shoulder pulse not only in single pulse also use longer new fit bound

7.double, bad fit!!

7.neighboring pulse ΔADC ADC Δ(ΔADC))

not about new fit bound the default fitbound is before newfitbound (([tdc2] - [tdc1])*7. + [tdc2]) new fit option which can get shoulder pulse not only in single pulse also use longer fit bound

8.double, bad fit!!

8.neighboring pulse ΔADC ADC Δ(ΔADC))

8.new fit option can not save it which can get shoulder pulse not only in single pulse also use longer fit bound

pile up pulse, TDC cut =3 number of pileup pulse = 54260 number of single pulse = 30534 (56.24%) number of double pulse = 22563 (41.58%) number of triple pulse = 956 ( 1.76%) number of quadruple pulse = 247 ( 0.46%) number of (8) pulse =10 (0.0055%) (percentage in double pulse (0.013%)) (chi_square>4 , single pulse)

pile up pulse, TDC cut =3 number of all kind of saturate pulse (chi_square>4) =216 (0.39%) (percentage in double pulse (0.96%))

Pileup chi2 >100 0.74% peakadc <7 5.67%

small pulse number of small pulse (chi_square>4) =216 (0.39%) =216 (0.39%) (percentage in double pulse (0.96%)) chi2>4.and.chi2<10.and.peakadc1<15 the chi2 save by another pulse dipangle 99.87 hid 300044 peakadc1 115 dipangle 90.94 hid 300123 peakadc1 18 dipangle 89.76 hid 300050 peakadc1 32 dipangle 71.34 hid 200131 peakadc1 164.5 dipangle 87 hid 300027 peakadc1 133

9. chi2>4. and. chi2<9999. and 9.chi2>4.and.chi2<9999.and.peakadc1<15 the chi2 save by another pulse

9.neighboring pulse

backup