Lattice modeling and calibration with turn-by-turn orbit data

A new method that explores turn-by-turn beam position monitor (BPM) data to calibrate lattice models of accelerators is proposed. The turn-by-turn phase space coordinates at one location of the ring are first established using data from two BPMs separated by a simple section with a known transfer ma...
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Autor*in:	Xiaobiao Huang [verfasserIn] Jim Sebek [verfasserIn] Don Martin [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2010

Übergeordnetes Werk:	In: Physical Review Special Topics. Accelerators and Beams - American Physical Society, 2003, 13(2010), 11, p 114002
Übergeordnetes Werk:	volume:13 ; year:2010 ; number:11, p 114002

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DOI / URN:	10.1103/PhysRevSTAB.13.114002

Katalog-ID:	DOAJ028816145

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520			\|a A new method that explores turn-by-turn beam position monitor (BPM) data to calibrate lattice models of accelerators is proposed. The turn-by-turn phase space coordinates at one location of the ring are first established using data from two BPMs separated by a simple section with a known transfer matrix, such as a drift space. The phase space coordinates are then tracked with the model to predict positions at other BPMs, which can be compared to measurements. The model is adjusted to minimize the difference between the measured and predicted orbit data. BPM gains and rolls are included as fitting variables. This technique can be applied to either the entire or a section of the ring. We have tested the method experimentally on a part of the SPEAR3 ring.
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allfieldsGer	10.1103/PhysRevSTAB.13.114002 doi (DE-627)DOAJ028816145 (DE-599)DOAJ792bf371b6f949aa9fec8402e08b99a1 DE-627 ger DE-627 rakwb eng QC770-798 Xiaobiao Huang verfasserin aut Lattice modeling and calibration with turn-by-turn orbit data 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A new method that explores turn-by-turn beam position monitor (BPM) data to calibrate lattice models of accelerators is proposed. The turn-by-turn phase space coordinates at one location of the ring are first established using data from two BPMs separated by a simple section with a known transfer matrix, such as a drift space. The phase space coordinates are then tracked with the model to predict positions at other BPMs, which can be compared to measurements. The model is adjusted to minimize the difference between the measured and predicted orbit data. BPM gains and rolls are included as fitting variables. This technique can be applied to either the entire or a section of the ring. We have tested the method experimentally on a part of the SPEAR3 ring. Nuclear and particle physics. Atomic energy. Radioactivity Jim Sebek verfasserin aut Don Martin verfasserin aut In Physical Review Special Topics. Accelerators and Beams American Physical Society, 2003 13(2010), 11, p 114002 (DE-627)306359588 (DE-600)1497130-6 10984402 nnns volume:13 year:2010 number:11, p 114002 https://doi.org/10.1103/PhysRevSTAB.13.114002 kostenfrei https://doaj.org/article/792bf371b6f949aa9fec8402e08b99a1 kostenfrei http://doi.org/10.1103/PhysRevSTAB.13.114002 kostenfrei http://doi.org/10.1103/PhysRevSTAB.13.114002 kostenfrei https://doaj.org/toc/1098-4402 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2021 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2010 11, p 114002
allfieldsSound	10.1103/PhysRevSTAB.13.114002 doi (DE-627)DOAJ028816145 (DE-599)DOAJ792bf371b6f949aa9fec8402e08b99a1 DE-627 ger DE-627 rakwb eng QC770-798 Xiaobiao Huang verfasserin aut Lattice modeling and calibration with turn-by-turn orbit data 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A new method that explores turn-by-turn beam position monitor (BPM) data to calibrate lattice models of accelerators is proposed. The turn-by-turn phase space coordinates at one location of the ring are first established using data from two BPMs separated by a simple section with a known transfer matrix, such as a drift space. The phase space coordinates are then tracked with the model to predict positions at other BPMs, which can be compared to measurements. The model is adjusted to minimize the difference between the measured and predicted orbit data. BPM gains and rolls are included as fitting variables. This technique can be applied to either the entire or a section of the ring. We have tested the method experimentally on a part of the SPEAR3 ring. Nuclear and particle physics. Atomic energy. Radioactivity Jim Sebek verfasserin aut Don Martin verfasserin aut In Physical Review Special Topics. Accelerators and Beams American Physical Society, 2003 13(2010), 11, p 114002 (DE-627)306359588 (DE-600)1497130-6 10984402 nnns volume:13 year:2010 number:11, p 114002 https://doi.org/10.1103/PhysRevSTAB.13.114002 kostenfrei https://doaj.org/article/792bf371b6f949aa9fec8402e08b99a1 kostenfrei http://doi.org/10.1103/PhysRevSTAB.13.114002 kostenfrei http://doi.org/10.1103/PhysRevSTAB.13.114002 kostenfrei https://doaj.org/toc/1098-4402 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2021 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2010 11, p 114002
language	English
source	In Physical Review Special Topics. Accelerators and Beams 13(2010), 11, p 114002 volume:13 year:2010 number:11, p 114002
sourceStr	In Physical Review Special Topics. Accelerators and Beams 13(2010), 11, p 114002 volume:13 year:2010 number:11, p 114002
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author	Xiaobiao Huang
spellingShingle	Xiaobiao Huang misc QC770-798 misc Nuclear and particle physics. Atomic energy. Radioactivity Lattice modeling and calibration with turn-by-turn orbit data
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topic_title	QC770-798 Lattice modeling and calibration with turn-by-turn orbit data
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title	Lattice modeling and calibration with turn-by-turn orbit data
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title_full	Lattice modeling and calibration with turn-by-turn orbit data
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title_sort	lattice modeling and calibration with turn-by-turn orbit data
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title_auth	Lattice modeling and calibration with turn-by-turn orbit data
abstract	A new method that explores turn-by-turn beam position monitor (BPM) data to calibrate lattice models of accelerators is proposed. The turn-by-turn phase space coordinates at one location of the ring are first established using data from two BPMs separated by a simple section with a known transfer matrix, such as a drift space. The phase space coordinates are then tracked with the model to predict positions at other BPMs, which can be compared to measurements. The model is adjusted to minimize the difference between the measured and predicted orbit data. BPM gains and rolls are included as fitting variables. This technique can be applied to either the entire or a section of the ring. We have tested the method experimentally on a part of the SPEAR3 ring.
abstractGer	A new method that explores turn-by-turn beam position monitor (BPM) data to calibrate lattice models of accelerators is proposed. The turn-by-turn phase space coordinates at one location of the ring are first established using data from two BPMs separated by a simple section with a known transfer matrix, such as a drift space. The phase space coordinates are then tracked with the model to predict positions at other BPMs, which can be compared to measurements. The model is adjusted to minimize the difference between the measured and predicted orbit data. BPM gains and rolls are included as fitting variables. This technique can be applied to either the entire or a section of the ring. We have tested the method experimentally on a part of the SPEAR3 ring.
abstract_unstemmed	A new method that explores turn-by-turn beam position monitor (BPM) data to calibrate lattice models of accelerators is proposed. The turn-by-turn phase space coordinates at one location of the ring are first established using data from two BPMs separated by a simple section with a known transfer matrix, such as a drift space. The phase space coordinates are then tracked with the model to predict positions at other BPMs, which can be compared to measurements. The model is adjusted to minimize the difference between the measured and predicted orbit data. BPM gains and rolls are included as fitting variables. This technique can be applied to either the entire or a section of the ring. We have tested the method experimentally on a part of the SPEAR3 ring.
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