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Alignment model - first trial g e ode s a K.Kubo 20070918 - PowerPoint PPT Presentation

Alignment model - first trial g e ode s a K.Kubo 20070918 revised 20071018 References References archive of https://lists.desy.de/sympa/info/ilc-metapy hi f htt //li t d d / /i f /il t Communication with


  1. Alignment model - first trial g e ode s a K.Kubo 20070918 revised 20071018

  2. References References • “archive” of https://lists.desy.de/sympa/info/ilc-metapy “ hi ” f htt //li t d d / /i f /il t – Communication with Armin Reihold, using the mailing list ilc-metapy@desy de list ilc-metapy@desy.de – Newest draft documentation of the model is attached to one of the e-mail • LICAS – http://www- pnp.physics.ox.ac.uk/~licas/page_talks/IWAA2004/iw h i k/ li / lk /IWAA2004/i aa2004_gg_talk_v1.pdf – http://iwaa2004.web.cern.ch/IWAA2004/subsite/PDF/ http://iwaa2004 web cern ch/IWAA2004/subsite/PDF/ 20041007_TS10-3_Grzegorz-Grzelak.pdf • Private communication with R. Sugahara (KEK) g ( )

  3. Alignment (offset and tilt) model Alignment (offset and tilt) model 1. Mark primary reference point, every 2.5(?) km. • • Error will be random independent Gaussian ~mm Error will be random, independent Gaussian. ~mm • 2.5 km corresponds to distance between shafts 2 2. B t Between them, mark reference point every ? (5~50) m th k f i t ? (5 50) • Survey from one primary point to the next one. • Error will be from random walk (random angle and offset) • Distance depends on method of survey 3. Girders, cryomodules and other independent components will be y p p placed w.r.t. the nearest reference. • Error will be random, independent Gaussian, w.r.t. survey line. 4. Most components are placed on girders or cryomodules • Error will be random, independent Gaussian, w.r.t. girders/modules g

  4. Every about 2.5 km, primary references, ? using GPS? Random error. g Survey from one primary reference to the next. Every about 5 50 m mark reference point Every about 5~50 m, mark reference point Girders, cryomodules, etc. are aligned w.r.t. the reference.

  5. Random Walk Random Walk First angle is ambiguous, but cancelled later. random angle: with respect to the previous step with respect to the previous step random offset From reference of LICAS From reference of LICAS, Step length ~ 5 m, Offset RMS 0.5 µ m, A Angle RMS 0.1 µ rad l RMS 0 1 d

  6. Random walk Random walk

  7. Correction of accumulated error in Random Walk primary reference -1 primary reference -2 design line design line correct accumulated error random walk from 1 Offset proportional to distance from ‘1’ Angle of the first step is cancelled.

  8. Correction of accumulated error in Random Walk Corrected Offset of n-th step offset of the next primary reference point n = + + − ≤ ≤ ≤ ≤ y y y y ( ( y y y y ) ) ( ( 0 0 n n N) N) j,n j n 0 0 ,j,n j n P P , j j + + 1 1 0 0 ,j,N j N N offset of n-th step, result of random walk offset of final point (next primary reference), ff t f fi l i t ( t i f ) result of random walk There is a commnent that this process is not necessary.

  9. θ θ o = 0, N=500 0 00

  10. Alignment w.r.t. reference points (example) least square fit least square fit reference points Additional random angle Additi Additional random offset l d ff t girder/cryomodule/magnet girder/cryomodule/magnet

  11. Rotation error model Rotation error model • Rotation is adjusted w.r.t. gravity – Variation of gravity can be ignored? • Every warm magnet has independent random error • Every cryomodule has independent random error – Cold magnet and cold BPM has random error w.r.t. cryomodule • Variation of gravity can be ignored?

  12. Summary Summary • Alignment model is being developed Alignment model is being developed. – Draft documentation is sent to ilc-metapy@desy.de, see “archive” of https://lists desy de/sympa/info/ilc- see archive of https://lists.desy.de/sympa/info/ilc metapy – Still need to check some Still need to check some • Usage of “Primary references” and correction of “accumulated error” accumulated error • Gravity variation is small enough? – Still need numbers for most of the parameters – Still need numbers for most of the parameters

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