Keyword: alignment
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MOCPL02 Experiences with Laser Survey Instrument Based Approach to National Ignition Facility Diagnostic Alignments ion, diagnostics, target, laser 52
 
  • E.F. Wilson, M.A. Fedorov, J.R. Hoffman, W.A. Howes, M.J. Lewis, C.L.M. Martinez-Nieves, V. Pacheu, N. Shingleton
    LLNL, Livermore, California, USA
 
  Funding: This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.
The Na­tional Ig­ni­tion Fa­cil­ity (NIF) uses pow­er­ful lasers to com­press tar­gets, to study high en­ergy den­sity physics. So­phis­ti­cated di­ag­nos­tics are placed close to the tar­gets to record the re­sults of each shot. The place­ment of these di­ag­nos­tics rel­a­tive to the tar­get is crit­i­cal to the mis­sion, with align­ment tol­er­ances on the order of 500 mi­crons. The in­te­gra­tion of com­mer­cial laser-based sur­vey in­stru­ments into the NIF con­trol sys­tem has im­proved di­ag­nos­tic align­ment in many ways. The Ad­vanced Track­ing Laser Align­ment Sys­tem (ATLAS) pro­ject in­cor­po­rates com­mer­cial Faro laser tracker in­stru­ments into the di­ag­nos­tic fac­tory and the tar­get cham­ber, im­prov­ing align­ment ac­cu­racy over prior sys­tems. The sys­tem uses mul­ti­ple retrore­flec­tors mounted on each of the di­ag­nos­tic po­si­tion­ers to trans­late to a 6D po­si­tion in the NIF tar­get cham­ber vol­ume. This en­ables a closed loop align­ment process to align each di­ag­nos­tic. This paper pro­vides an overview of how the laser tracker is used in di­ag­nos­tic align­ment, and dis­cusses chal­lenges met by the con­trol sys­tem to achieve this in­te­gra­tion.
 
video icon Talk as video stream: https://youtu.be/AIK4GBUOmCw  
slides icon Slides MOCPL02 [278.247 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-MOCPL02  
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TUCPA02 Leveraging Splunk for Control System Monitoring and Management ion, controls, monitoring, laser 253
 
  • M.A. Fedorov, P. Adams, G.K. Brunton, B.T. Fishler, M.S. Flegel, K.C. Wilhelmsen, E.F. Wilson
    LLNL, Livermore, California, USA
 
  Funding: This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344
The Na­tional Ig­ni­tion Fa­cil­ity (NIF) is the world's largest and most en­er­getic laser ex­per­i­men­tal fa­cil­ity with 192 beams ca­pa­ble of de­liv­er­ing 1.8 mega­joules and 500-ter­awatts of ul­tra­vi­o­let light to a tar­get. To aid in NIF con­trol sys­tem trou­bleshoot­ing, the com­mer­cial prod­uct Splunk was in­tro­duced to col­late and view sys­tem log files col­lected from 2,600 processes run­ning on 1,800 servers, front-end proces­sors, and em­bed­ded con­trollers. We have since ex­tended Splunk's ac­cess into cur­rent and his­tor­i­cal con­trol sys­tem con­fig­u­ra­tion data, as well as ex­per­i­ment setup and re­sults. Lever­ag­ing Splunk's built-in data vi­su­al­iza­tion and an­a­lyt­i­cal fea­tures, we have built cus­tom tools to gain in­sight into the op­er­a­tion of the con­trol sys­tem and to in­crease its re­li­a­bil­ity and in­tegrity. Use cases in­clude pre­dic­tive an­a­lyt­ics for alert­ing on pend­ing fail­ures, an­a­lyz­ing shot op­er­a­tions crit­i­cal path to im­prove op­er­a­tional ef­fi­ciency, per­for­mance mon­i­tor­ing, pro­ject man­age­ment, and in an­a­lyz­ing and mon­i­tor­ing sys­tem avail­abil­ity. This talk will cover the var­i­ous ways we've lever­aged Splunk to im­prove and main­tain NIF's in­te­grated con­trol sys­tem.
LLNL-ABS-728830
 
slides icon Slides TUCPA02 [1.762 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUCPA02  
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TUMPA01 New Visual Alignment Sequencer Tool Improves Efficiency of Shot Operations at the National Ignition Facility (NIF) ion, controls, target, software 328
 
  • M.A. Fedorov, J.R. Castro Morales, V. Pacheu, E.F. Wilson
    LLNL, Livermore, California, USA
 
  Funding: This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344 LLNL-ABS-728701
Es­tab­lished con­trol sys­tems for sci­en­tific ex­per­i­men­tal fa­cil­i­ties offer sev­eral lev­els of user in­ter­faces to match do­main-spe­cific needs and pref­er­ences of ex­per­i­men­tal­ists, op­er­a­tional and en­gi­neer­ing staff. At the Na­tional Ig­ni­tion Fa­cil­ity, the low-level de­vice pan­els ad­dress tech­ni­cians' need for com­pre­hen­sive hard­ware con­trol, while Shot Au­toma­tion soft­ware al­lows NIF Shot Di­rec­tor to ad­vance thou­sands of de­vices at once through a care­fully or­ches­trated shot se­quence. MAT­LAB script­ing with NIF Lay­er­ing Tool­box has en­abled for­ma­tion of in­tri­cate Deu­terium-Tri­tium ice lay­ers for fu­sion ex­per­i­ments. The lat­est ad­di­tion to this fam­ily of user in­ter­faces is the Tar­get Area Align­ment Tool (TAAT), which guides NIF op­er­a­tors through hun­dreds of mea­sure­ment and mo­tion steps nec­es­sary to pre­cisely align tar­gets and di­ag­nos­tics for each ex­per­i­ment in­side of the NIF's 10-me­ter tar­get cham­ber. In this paper, we dis­cuss how this new tool has in­te­grated fa­mil­iar spread­sheet cal­cu­la­tions with in­tu­itive vi­sual aids and check­list-like script­ing to allow NIF Process En­gi­neers to au­to­mate and stream­line align­ment se­quences, con­tribut­ing to­wards NIF Shot Rate en­hance­ment goals.
 
slides icon Slides TUMPA01 [2.173 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUMPA01  
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TUPHA203 Automation Solutions and Prototypes for the X-Ray Tomography Beamline of Sirius, the New Brazilian Synchrotron Light Source ion, controls, experiment, interface 923
 
  • G.S.R. Costa, N. Lopes Archilha, F.P. O'Dowd, G.J.Q. Vasconcelos
    LNLS, Campinas, Brazil
 
  Funding: Brazilian Synchrotron Light Laboratory (LNLS), Brazilian Center for Research in Energy and Materials (CNPEM), Zip Code 13083-970, Campinas, Sao Paulo, Brazil.
Brazil is build­ing Sir­ius, the new Brazil­ian syn­chro­tron light source which will be the largest sci­en­tific in­fra­struc­ture ever built in Brazil and one of the world's first 4th gen­er­a­tion light lab­o­ra­tory. Mogno, the fu­ture X-ray nano and mi­cro­to­mog­ra­phy beam­line is being de­signed to ex­e­cute and process ex­per­i­ments in only few sec­onds. For this rea­son, pro­to­types and au­to­mated sys­tems have being tested and im­ple­mented in the cur­rent Brazil­ian Syn­chro­tron Light Lab­o­ra­tory (LNLS) imag­ing beam­line (IMX). An in­dus­trial robot was in­stalled to allow fast sam­ple ex­change through an easy-to-use graph­i­cal user in­ter­face. Also, scripts using Python and Ex­per­i­men­tal Physics and In­dus­trial Con­trol Sys­tem (EPICS) were im­ple­mented for au­to­matic sam­ple align­ment, mea­sure­ment and re­con­struc­tion. In ad­di­tion, a flow cell for study dy­nam­ics and be­hav­iour of flu­ids at the rock pore scale in time re­solved ex­per­i­ments (4D to­mog­ra­phy) is being pro­jected.
 
poster icon Poster TUPHA203 [8.453 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA203  
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TUPHA204 Automatic Angular Alignment of LHC Collimators ion, collimation, software, operation 928
 
  • G. Azzopardi, A. Mereghetti, S. Redaelli, B. Salvachua, G. Valentino
    CERN, Geneva, Switzerland
  • A. Muscat
    University of Malta, Information and Communication Technology, Msida, Malta
 
  The Large Hadron Col­lider (LHC) is equipped with a com­plex col­li­ma­tion sys­tem to pro­tect sen­si­tive equip­ment from un­avoid­able beam losses. Col­li­ma­tors are po­si­tioned close to the beam using an align­ment pro­ce­dure. Until now they have al­ways been aligned as­sum­ing no tilt be­tween the col­li­ma­tor and the beam, how­ever, tank mis­align­ments or beam en­ve­lope an­gles at large-di­ver­gence lo­ca­tions could in­tro­duce a tilt lim­it­ing the col­li­ma­tion per­for­mance. This paper de­scribes three dif­fer­ent al­go­rithms to au­to­mat­i­cally align a cho­sen col­li­ma­tor at var­i­ous an­gles. The im­ple­men­ta­tion was tested with and with­out beam at the SPS and the LHC. No human in­ter­ven­tion was re­quired and the three al­go­rithms con­verged to the same op­ti­mal tilt angle.  
poster icon Poster TUPHA204 [0.482 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA204  
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WEBPL02 On-Axis 3D Microscope for X-Ray Beamlines at NSLS-II ion, optics, detector, EPICS 1048
 
  • K.J. Gofron, Y.Q. Cai
    BNL, Upton, Long Island, New York, USA
  • J. Wlodek
    Stony Brook University, Computer Science Department, Stony Brook, New York, USA
 
  Funding: Work supported by the US Department of Energy, Office of Science, Office of Basic Energy Sciences, under contract No. DE-SC0012704.
A se­ries of ver­sa­tile on-axis X-ray mi­cro­scopes with large work­ing dis­tances, high res­o­lu­tion and large mag­ni­fi­ca­tion have been de­vel­oped for in-situ sam­ple align­ment and X-ray beam vi­su­al­iza­tion at beam-lines at NSLS-II [1]. The mi­cro­scopes use re­flec­tive op­tics, which min­i­mizes dis­per­sion, and al­lows imag­ing from Ul­tra­vi­o­let (UV) to In­frared (IR) with specif­i­cally cho­sen ob­jec­tive com­po­nents (coat­ings, etc.) [2]. Cur­rently over seven re­flec­tive mi­cro­scopes have been pro­cured with sev­eral in­stalled at NSLS2 beam-lines. Ad­di­tional cus­tomiza­tions can be im­ple­mented pro­vid­ing for ex­am­ple dual-view with high/low mag­ni­fi­ca­tion, 3-D imag­ing, long work­ing range, as well as ruby pres­sure sys­tem mea­sure­ment. The mi­cro­scope cam­era con­trol fre­quently uti­lizes EPICS areaD­e­tec­tor. In spe­cial­ized ap­pli­ca­tions python pro­grams in­te­grate EPICS cam­era con­trol, with com­puter vi­sion, and EPICS mo­tion con­trol for go­nio­stat cen­ter­ing or ob­ject de­tec­tion ap­pli­ca­tions.
[1] K. J. Gofron, et. al.; AIP Conf. Proc. 1741, 030027-1-030027-4; doi: 10.1063/1.4952850.
[2] K. J. Gofron, et. al., Nucl. Instr. and Meth. A 649, 109 (2011).
 
video icon Talk as video stream: https://youtu.be/O0zCZj624Mw  
slides icon Slides WEBPL02 [6.542 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-WEBPL02  
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THDPL01 Configuring and Automating an LHC Experiment for Faster and Better Physics Output ion, controls, experiment, detector 1233
 
  • C. Gaspar, R. Aaij, F. Alessio, J. Barbosa, L.G. Cardoso, M. Frank, B. Jost, N. Neufeld, R. Schwemmer
    CERN, Geneva, Switzerland
 
  LHCb has in­tro­duced a novel on­line de­tec­tor align­ment and cal­i­bra­tion for LHC Run II. This strat­egy al­lows for bet­ter trig­ger ef­fi­ciency, bet­ter data qual­ity and di­rect physics analy­sis at the trig­ger out­put. This im­plies: run­ning a first High Level Trig­ger (HLT) pass syn­chro­nously with data tak­ing and buffer­ing lo­cally its out­put; use the data col­lected at the be­gin­ning of the fill, or on a run-by-run basis, to de­ter­mine the new align­ment and cal­i­bra­tion con­stants; run a sec­ond HLT pass on the buffered data using the new con­stants. Op­er­a­tionally, it rep­re­sented a chal­lenge: it re­quired run­ning dif­fer­ent ac­tiv­i­ties con­cur­rently in the farm, start­ing at dif­fer­ent times and load bal­anced de­pend­ing on the LHC state. How­ever, these ac­tiv­i­ties are now an in­te­gral part of LHCb's dataflow, seam­lessly in­te­grated in the Ex­per­i­ment Con­trol Sys­tem and com­pletely au­to­mated under the su­per­vi­sion of LHCb's 'Big Brother'. In total, around 60000 tasks run in the ~1600 nodes of the farm. Load bal­anc­ing of tasks be­tween ac­tiv­i­ties takes less than 1 sec­ond. The mech­a­nisms for con­fig­ur­ing, sched­ul­ing and syn­chro­niz­ing dif­fer­ent ac­tiv­i­ties on the farm and in the ex­per­i­ment in gen­eral will be dis­cussed.  
video icon Talk as video stream: https://youtu.be/_KuZiIuHbQw  
slides icon Slides THDPL01 [3.600 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THDPL01  
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THPHA129 Automated Contols for the Hard X-Ray Split & Delay System at the Linac Coherent Light Source ion, controls, diagnostics, operation 1678
 
  • A.P. Rashed Ahmed, M.C. Browne, D.L. Flath, K. Gumerlock, T.K. Johnson, L. Lee, Z.L. Lentz, T.F. Rendahl, H.S. Shi, H.H. Slepicka, Y. Sun, T.A. Wallace, D. Zhu
    SLAC, Menlo Park, California, USA
 
  Funding: Work supported by the U.S. Department of Energy under contract number DE-AC02-76SF00515.
The hard x-ray split and delay (HXRSnD) sys­tem at the Lin­ear Co­her­ent Light Source (LCLS) was de­signed to allow for ex­per­i­ments re­quir­ing two-pulse based x-ray pho­ton cor­re­la­tion spec­troscopy. The sys­tem con­sists of eight sil­i­con crys­tals split be­tween two op­ti­cal branches, with over 30 de­grees of free­dom. To main­tain sys­tem sta­bil­ity and safety while eas­ing sys­tem op­er­a­tion, we ex­pand the LCLS Sky­walker soft­ware suite to pro­vide a python-based au­toma­tion scheme that han­dles align­ment, op­er­a­tions and en­gi­neer no­ti­fi­ca­tion. Core safety sys­tems such as col­li­sion avoid­ance are processed at the con­troller and Ex­per­i­men­tal Physics and In­dus­trial Con­trol Sys­tem (EPICS) layer. Higher level func­tion­al­ity is im­ple­mented using a stack of open-source python pack­ages (ophyd, bluesky, tran­si­tions) which pro­vide a com­pre­hen­sive and ro­bust op­er­a­tional en­vi­ron­ment con­sist­ing of vir­tual mo­tors, plans and fi­nite state ma­chines (FSM).
 
poster icon Poster THPHA129 [0.831 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA129  
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THPHA197 A Sub-Pixel Automated Feature-Based Alignment for Tomography Experiments ion, detector, experiment, synchrotron 1911
 
  • G.J.Q. Vasconcelos, G.S.R. Costa, E.X. Miqueles
    LNLS, Campinas, Brazil
 
  Funding: Brazilian Synchrotron Light Laboratory (LNLS); Brazilian Center for Research in Energy and Materials (CNPEM)
Three-di­men­sional image re­con­struc­tion in X-ray com­puted to­mog­ra­phy (XRCT) is a math­e­mat­i­cal process that en­tirely de­pends on the align­ment of the ob­ject of study. Small vari­a­tions in pitch and roll an­gles and trans­la­tional shift be­tween cen­ter of ro­ta­tion and cen­ter of de­tec­tor can cause large de­vi­a­tions in the cap­tured sino­gram, re­sult­ing in a de­graded 3D image. Most of the pop­u­lar re­con­struc­tion al­go­rithms are based on pre­vi­ous ad­just­ments of the sino­gram ray off­set be­fore the re­con­struc­tion process. This work pre­sents an au­to­matic method for shift and angle ad­just of the cen­ter of ro­ta­tion (COR) be­fore the be­gin­ning of the ex­per­i­ment re­mov­ing the need of set­ting geo­met­ri­cal pa­ra­me­ters to achieve a re­li­able re­con­struc­tion. This method cor­re­lates dif­fer­ent pro­jec­tions using Scale In­vari­ant Fea­ture Trans­form al­go­rithm (SIFT) to align the ex­per­i­men­tal setup with sub-pixel pre­ci­sion and fast con­ver­gence.
 
poster icon Poster THPHA197 [1.841 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA197  
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