AGS CNI Update: Non-linear Corrections to Energy Loss in Si Dead Layer Outline Standard dead layer fitting technique Non-linear corrections Compare results.

Slides:



Advertisements
Similar presentations
Objective - To graph linear equations using the slope and y-intercept.
Advertisements

Solid State Detectors- 3 T. Bowcock 2 Schedule 1Position Sensors 2Principles of Operation of Solid State Detectors 3Techniques for High Performance Operation.
Linear Equations Review. Find the slope and y intercept: y + x = -1.
Advanced GAmma Tracking Array
HES-HKS & KaoS meeting Toshiyuki Gogami 18Dec2013.
Lecture 13 – Perceptrons Machine Learning March 16, 2010.
Electromagnetic Physics I Tatsumi KOI SLAC National Accelerator Laboratory (strongly based on Michel Maire's slides) Geant4 v9.2.p02 Standard EM package.
November 30th, 2006MAPS meeting - Anne-Marie Magnan - Imperial College London 1 MAPS simulation Application of charge diffusion on Geant4 simulation and.
HiRes Usage. Outline ● Shower energy ( Size, dE/dx ) ● Atmospheric profile ( stdz76, radiosonde) ● Rayleigh Scattering ● Aerosols Model ( density, variability.
Status of MAPS Geometry Simulation Yoshinari Mikami University of Birmingham 17th MAY 2006 MAPS Meeting at Rutherford Appleton Laboratory.
Electromagnetic Physics I Joseph Perl SLAC National Accelerator Laboratory (strongly based on Michel Maire's slides) Geant4 v9.3.p01 Standard EM package.
Nonparametric Regression -m(x) is a general function that relates x to y. This specification includes the linear regression model as a special case. -Now.
BY DEREK H. AND YAZMEEN T. Lead Shielding and Muons 1.
Comments to the AGS pC polarimeter data processing t 0 based calibration Observations of Boris Morozov’s results Dead layer corrections. A novel method.
4-2 Make a function table and a graph for the function y = –9x2. Is the function linear or nonlinear? Step 1 Make a function table using the rule y =
Forecasting using trend analysis
DIS 2006 TSUKUBA April 21, 2006 Alessandro Bravar Spin Dependence in Polarized Elastic Scattering in the CNI Region A. Bravar, I. Alekseev, G. Bunce, S.
2001 Mars Odyssey GRS 1 Workshop HEND May 20 th – 22 nd 2002 Chemical elements preliminary mapping Early Mapping of Hydrogen, Potassium and Silicon.
DIS 2006 Tsukuba, April 21, 2006 Alessandro Bravar Proton Polarimetry at RHIC Alekseev, A. Bravar, G. Bunce, S. Dhawan, R. Gill, W. Haeberli, H. Huang,
E.C. Aschenauer RSC-Meeting, January 21st T h e b e s t k e p t s e c r e t n u m b e r a t R H I C / B N L / U S A f o r s u r e n o t t o b e.
Target material and thickness considerations Alain Blondel, with thanks to Dean Adams and Dan Kaplan Priority for rebuild is to have a target mechanism.
abrasion ablation  σ f [cm 2 ] for projectile fragmentation + fission  luminosity [atoms cm -2 s -1 ]  70% transmission SIS – FRS  ε trans transmission.
1 A Bayesian statistical method for particle identification in shower counters IX International Workshop on Advanced Computing and Analysis Techniques.
Energy Loss Toshiyuki Gogami 15Apr2013. Simulation Particles are generated at the center of target Randomly generation points are moved in the target.
Impact parameter resolution study for ILC detector Tomoaki Fujikawa (Tohoku university) ACFA Workshop in Taipei Nov
Systematic Errors Studies in the RHIC/AGS Proton-Carbon CNI Polarimeters Andrei Poblaguev Brookhaven National Laboratory The RHIC/AGS Polarimetry Group:
Sig Digs Lab Practice (Show units and correct sig digs.) Al strip: Measure the mass, length, and width. Calculate:Mass Area Given that the density of Al.
4/2003 Rev 2 I.4.12 – slide 1 of 10 Session I.4.12 Part I Review of Fundamentals Module 4Sources of Radiation Session 12Filtration and Beam Quality IAEA.
Relative Polarization Measurements of Proton Beams Using Thin Carbon Targets at RHIC Grant Webb Brookhaven National Laboratory Sept 14, 2015PSTP20151 for.
Polarization Measurements of RHIC-pp RUN05 Using CNI pC-Polarimeter Itaru Nakagawa (RIKEN/RBRC) On behalf of CNI Polarimeter Group I.G.Alekseev A A.Bravar.
Status of MAPS Geometry Simulation Yoshinari Mikami University of Birmingham 21 th April 2006 MAPS Meeting at Rutherford Appleton Laboratory.
Warm-Up Write the equation of each line. A B (1,2) and (-3, 7)
MnSGC Ballooning Team Techniques: APRS tracking-data processing James Flaten Summer 2010.
Tracking in High Density Environment
Latifa Elouadrhiri Jefferson Lab Hall B 12 GeV Upgrade Drift Chamber Review Jefferson Lab March 6- 8, 2007 CLAS12 Drift Chambers Simulation and Event Reconstruction.
A. Write an equation in slope-intercept form that passes through (2,3) and is parallel to.
Curve Fitting Pertemuan 10 Matakuliah: S0262-Analisis Numerik Tahun: 2010.
1B.Morozov CNI Meeting 31 July Possible Upgrades for CNI Carbon Polarimeter G. Atoian, R. Gill, B. Morozov.
The RHIC C-CNI polarimeter upgrade for 2009 Run. RSC Meeting, December 16, 2008 Anatoli Zelenski for polarimeter upgrade group. T.Russo, T.Curcio, D.Lehn,
Longitudinal shower profile - CERN electron runs Valeria Bartsch University College London.
Algebra Core Review day 2. Unit 4: Relations Domain: Range: Inverse: Linear: Function:
Polarisation transfer in hyperon photoproduction near threshold Tom Jude D I Glazier, D P Watts The University of Edinburgh.
Thomas Roser Snowmass 2001 June 30 - July 21, 2001 Proton Polarimetry Proton polarimeter reactions RHIC polarimeters.
Section 3.2 Linear Models: Building Linear Functions from Data.
Family of Functions, review Which functions are nonlinear? Select all that apply.
Spectra distortion by the interstrip gap in spectrometric silicon strip detectors Vladimir Eremin and.
RHIC pC polarimeter what has been achieved and what needs to be done Osamu Jinnouchi RBRC 2/10/05 RSC meeting.
Fast offline dE/dx calibrations Y. Fisyak 11/07/02.
1 August CNI Carbon Polarimeter for AGS G. Atoian, H. Huang, Y. Makdisi, B. Morozov, A. Zelenski - Introduction - Detectors and Front-End - Front-End.
C63.19 SC8 WG3 meeting, March 26, 2007 Calibration values for dipole validations at new RF probe separation distance of 1.5cm PINS-C item 5.k Jagadish.
RHIC pC Polarimeters in Run9: Performance and Issues A.Bazilevsky for the RHIC CNI Group Polarimetry Worshop BNL, July 31, 2009.
Full characterization of an old HPGe detector (GEROS)
Review of Slope Intercept Form
Algebra 150 Unit: Functions Lesson Plan #10: Using TI-83 Calculator to Calculate Values Objective SWBT use a TI-83 calculator to calculate values in Linear.
“minimum-ionisation” peak
Sig Digs Lab Practice – Rd 2
VOLUME The volume of a 3D shape is the amount of space within that solid.
Thickness of a Thin Layer
Chapter 7 Functions and Graphs.
QUESTION 1 Calculate x correct to 1 decimal place A B C D 8.1 cm
PARENT GRAPH FOR LINEAR EQUATIONS
Polar Coordinates & Polar Graphs (10.4)
جنبه های بهداشتی پرتوها
Today (2/23/16) Learning objectives:
Nonlinear regression.
Nonlinear Fitting.
CHAPTER Five: Collection & Analysis of Rate Data
Theoretical systematics Integrating efficiency fitting
Log-log graph of the exponential exp(-x)
Inverse correlations between age and the M value (A), between age and NOx FSR (B), and between age and either ADMA (C) or SDMA (D) concentrations. Inverse.
Presentation transcript:

AGS CNI Update: Non-linear Corrections to Energy Loss in Si Dead Layer Outline Standard dead layer fitting technique Non-linear corrections Compare results of the two methods

Calculating Energy Loss Generate dE/dx as a function of carbon energy (E kin ) from MSTAR ver 2.00 Calculate energy loss tables for 150 < E kin < 2000 keV for dead layer thicknesses 20 < t dead < 100  g/cm 2 Carbon Energy (keV) dE/dx (keV cm 2 /  g)

Standard Technique Fit linear correlation b/w E kin and E dep for 400 < E kin < 800 keV E kin = A + B E dep B  1  A  E dead Fit Slope (B) as linear function of E dead (A) Slope = a + b E dead E kin = E dead + (a + b E dead ) E dep E dep E kin

Non-Linear Corrections Fit E kin to E dep correlation for different t dead E kin = P 0 + P 1 E dep + P 2 (E dep ) 2 + P 3 (E dep ) 3 + P 4 (E dep ) 4 P n (t dead ) depend on dead layer thickness Fit P n (t dead ) with 3 rd order polynomial P n (t dead ) = C n,0 + C n,1 t dead + C n,2 (t dead ) 2 + C n,3 (t dead ) 3 Now have 20 parameters rather than 2

Non-Linear Correction Results Extract T0 and t dead (E dead ) From TOF to E kin correlation First data set March 13 – standard fit –E dead = 70.6 keV  t dead  21  g/cm 2 –T0 = 27.7 ns March 23 – non-linear fit –t dead = 34.2  g/cm 2 –T0 = 26.4 ns Second data set April 1 – standard fit –E dead = 63.4 keV  t dead  19  g/cm 2 –T0 = 34.4 ns April 1 – non-linear fit –t dead = 31.2  g/cm 2 –T0 = 34.5 ns

Correction Effect on Polarization First data set March 13 – standard fit = 1.28% March 23 – non-linear fit = 1.26% Second data set April 1 – standard fit = 1.29% April 1 – non-linear fit = 1.28% (P non-linear – P standard ) / P standard April 1 data