LiCAS Simulation Based on: Simulation of the LiCAS survey system for the ILC by G. Grzelak¤, A. Reichold+, J. Dale+, M. Dawson+, J. Green+, Y. Han+, M.

Slides:



Advertisements
Similar presentations
12. July 2002Visit of Jonathan Dorfan to RAL1 Linear Collider Alignment and Survey LiCAS.
Advertisements

S. M. Gibson, IWAA7 November ATLAS Group, University of Oxford, UK S. M. Gibson, P. A. Coe, A. Mitra, D. F. Howell, R. B. Nickerson Geodetic Grids.
Camera Choices for Photogrammetric Surveys IWAA2010, September 13-17, 2010 DESY Hamburg, Germany Catherine LeCocq, Robert Ruland SLAC.
Metrology and pre-alignment of the components of CLIC in the PACMAN project S. W. Kamugasa, V. Vlachakis CLIC Workshop January 2015 CERN, Geneva,
Zróbmy to prosto ( czyli jak ustawić akcelerator liniowy ) Grzegorz Grzelak Seminarium Fizyki Wielkich Energii; Warszawa; 14 X 2005 LiCAS Linear Collider.
The LiCAS FSI Subsystem Current Status and Initial Measurements John Dale for the LiCAS Collaboration IOP HEP April 2008.
LCLS LCLS-II Survey & Alignment
T T20-01 Mean Chart (Known Variation) CL Calculations Purpose Allows the analyst calculate the "Mean Chart" for known variation 3-sigma control.
The Linear Collider Alignment and Survey (LiCAS) Project Richard Bingham*, Edward Botcherby*, Paul Coe*, Grzegorz Grzelak*, Ankush Mitra*, Johannes Prenting.
LiCAS Project: FSI Overview Richard Bingham, Edward Botcherby, Paul Coe, John Green, Grzegorz Grzelak, Ankush Mitra, John Nixon, Armin Reichold University.
Initial Calibration and Stability Results from the LiCAS RTRS FSI System John Dale for the LiCAS Collaboration IWAA February 2008.
1 Reconstruction and statistical modelling of geometric measurements from the LiCAS project Patrick Brockill LiCAS Group Oxford, 6 February, 2008 Talk.
T T18-04 Linear Trend Forecast Purpose Allows the analyst to create and analyze the "Linear Trend" forecast. The MAD and MSE for the forecast.
Warsaw University LiCAS Linear Collider Alignment & Survey IWAA08, G. Moss 1 The LiCAS LSM System First measurements from the Laser Straightness.
BBA Related Issues Linac Coherent Light Source Stanford Synchrotron Radiation Laboratory Stanford Linear Accelerator Center Undulator.
T T20-03 P Chart Control Limit Calculations Purpose Allows the analyst to calculate the proportion "P-Chart" 3-sigma control limits. Inputs Sample.
S. M. Gibson, P. A. Coe, Photon02, 5 th September Coordinate Measurement in 2-D and 3-D Geometries using FSI Overview ATLAS Group, University of.
The Linear Collider Alignment and Survey (LiCAS) Project Richard Bingham, Edward Botcherby, Paul Coe, John Green, Grzegorz Grzelak, Ankush Mitra, John.
LiCAS train simulations (current status of work done at Oxford) Grzegorz Grzelak.
1 Institute of High Energy Physics 13/09/2010 Comparison and Study in Measurement Accuracy of Height Difference between Laser Tracker and Level Men LingLing.
J. Pflüger / DESY - Radiation Damage Workshop Stanford June 19, 2008 Radiation Damage Study at FLASH using the Diagnostic Undulator J. Pflüger, J. Skupin,
T T20-00 Range Chart Control Limit Calculations Purpose Allows the analyst to calculate the "Range Chart" 3- sigma control limits based on table.
Lesson Topic: Drawing the Coordinate Plane and Points on the Plane
Prepared using support of U.S. Department of Energy under Contract No. DE-AC02-76SF00515 by the Stanford Linear Accelerator Center, Stanford, California.
1 ILC Main Linac Alignment Simulations using Conventional Techniques and Development of Alignment Model John Dale LCWS08 & ILC08.
Conditional Distributions and the Bivariate Normal Distribution James H. Steiger.
MONALISA LiCAS D.Urner +, A. Reichold +, G. Grzelak* P. Coe +, C. Uribe-Estrada +, Y. Han + M. Warden +, J. Dale +, G. Moss + P. Brockill +, S. Cohen +,
1 Motion in 1D o Frames of Reference o Speed  average  instantaneous o Acceleration o Speed-time graphs and distance travelled Physics -I Piri Reis University.
Intro to Polar Coordinates Objectives: Be able to graph and convert between rectangular and polar coordinates. Be able to convert between rectangular and.
1 StaFF Progress Report David Urner University of Oxford.
Applied Geodesy Group Survey and Alignment of the ILC An approach to cost calculation and network simulations VLCW06 Vancouver, British Columbia, July.
Average speed Instantaneous speed Acceleration
LiCAS Applied Geodesy Group Warsaw University , RHUL, EuroTeV WP7, LiCAS Armin Reichold, LiCAS Linear Collider Alignement and Survey.
Random Sampling. Introduction Scientists cannot possibly count every organism in a population. One way to estimate the size of a population is to collect.
DESY, Sep. 27, 2005 Warsaw University LiCAS Linear Collider Alignment & Survey A. Reichold, Oxford for the LiCAS collaboration 1 Survey and Alignment.
Alignment (Survey) Tolerances in Main Linac from Beam Dynamics Simulations Kiyoshi Kubo.
Summary Part 1 Measured Value = True Value + Errors = True Value + Errors Errors = Random Errors + Systematic Errors How to minimize RE and SE: (a)RE –
Physics 114: Lecture 14 Mean of Means Dale E. Gary NJIT Physics Department.
Simulations (LET beam dynamics ) Group report Kiyoshi Kubo.
1 Internal Alignment of VXD3 Overview VXD3 at SLD Observing misalignments with the track data Matrix technique to unfold alignment corrections Comments.
Calibration of the Nikon D200 for Close-Range Photogrammetry
ILC Main Linac Alignment Simulations John Dale 2009 Linear Collider Workshop of the Americas.
Jyly 8, 2009, 3rd open meeting of Belle II collaboration, KEK1 Charles University Prague Zdeněk Doležal for the DEPFET beam test group 3rd Open Meeting.
Physics 114: Lecture 8 Measuring Noise in Real Data Dale E. Gary NJIT Physics Department.
WP3 The LiCAS Laser Straightness Monitor (LSM) Greg Moss.
Graph: A(4, 2) B(2, 0) C(6, -6) D(0, -4) E(-6, -6) F(-2, 0) G(-4, 2) H(0, 4)
Derivative Examples 2 Example 3
Company LOGO Technology and Application of Laser Tracker in Large Space Measurement Yang Fan, Li Guangyun, Fan Baixing IWAA2014 in Beijing, China Zhengzhou.
1 Research on laser tracker measurement accuracy and data processing Liang Jing IHEP,CHINA
Date of download: 6/24/2016 Copyright © 2016 SPIE. All rights reserved. The internal structure of the aligned 2CCD camera. Figure Legend: From: Pixel-to-pixel.
WP3 Frequency Scanning Interferometry Analysis Techniques for the LiCAS RTRS John Dale.
11.0 Analytic Geometry & Circles
A simple model of the ILC alignment process for use in LET simulations
Line Reflection!.
Analysing a function near a point on its graph.
First Data from the Linear Collider Alignment and Survey Project (LiCAS) The ILC requires unprecedented accuracy, speed and cost efficiency for the survey.
Chap. 2: Kinematics in one Dimension
Journal of Vision. 2017;17(8):6. doi: / Figure Legend:
Status of Reference Network Simulations
Geometry Honors Day 2: Reflections
Here is the graph of a function
آشنايی با اصول و پايه های يک آزمايش
Network Design What is network design? What are the methods?
Robert Pushor, Catherine LeCocq, Brian Fuss, Georg Gassner
ILC Main Linac Alignment Simulations
A graphing calculator is required for some problems or parts of problems 2000.
Volume 8, Issue 12, Pages R243-R246 (December 2000)
A Scalable Population Code for Time in the Striatum
Automated Spotsize Measurements
Facultad de Ingeniería, Centro de Cálculo
Presentation transcript:

LiCAS Simulation Based on: Simulation of the LiCAS survey system for the ILC by G. Grzelak¤, A. Reichold+, J. Dale+, M. Dawson+, J. Green+, Y. Han+, M. Jones+, G. Moss+, B. Ottewell+, R. Wastie+, D. Kamptner#, J. Prenting#, M. Schlosser# ¤University of Warsaw, +University of Oxford, #DESY, Hamburg Presented at the 9th INTERNATIONAL WORKSHOP ON ACCELERATOR ALIGNMENT, IWAA-2006 Stanford Linear Accelerator Center, September 25-29, Catherine LeCocq SLAC 04/05/07

LiCAS Overview LiCAS Instrumentation One laser line per train: 4 CCD cameras per car Internal FSI: 6 laser lines per train, 6 retro-reflectors per car One clinometer per car External FSI: 6 laser lines per car shooting to wall marker

Methodology Start with the 3 graphs shown in Figure 4 of the paper TH007 presented at IWAA06 Build a geometrical model Compare to the SIMULGEO results for the wall markers, presented in Figure 3 Compare to the “Random Walk Model” presented in paragraph 3.1

Single Train – Cars Sigma Train Coordinate System –Z axis Internal FSI with Car 0 as origin Internal FSI gives Z of following cars The clinometer on the car gives R Z The 4 CCDs in the car give X and Y of the car as well as R X and R Y

Single Train – Markers Sigma Train Coordinate System to Car Coordinate System: (u,v,w) are the coordinates of the marker in the car coordinate system. They can been obtained from the 6 external FSI measurements of the car.

Single Train – Markers Sigma Because car 0 is the origin of the train coordinate system, the coordinates of marker 0 are simply the derived observations (u,v,w). Using the appropriate graph gives: First approach, no correlation between (u,v,w). The sigma on the v measurement is very close to the value obtained by calculating the average of 6 FSI measurements at 1µm (0.41 vs 0.45)

25 Markers MATLAB Simulation

135 Markers MATLAB Simulation

Where To Go From Here Confirm the internal geometry of the train and the derived a-priori standard deviations. Obtain a detailed description of the external FSI system to complete the error model for the derived observations (u,v,w). Introduce systematic errors in the external FSI system for each car of the train.

IWAA Paper Extracts

Schematic layout of the LSM CCDs