7–12 May 2023
Venice, Italy
Europe/Zurich timezone

Study of the systematic error contributions to the measurement of beam size using sextupole magnets

WEPL013
10 May 2023, 16:30
2h
Sala Laguna

Sala Laguna

Poster Presentation MC5.D01: Beam Optics Lattices, Correction Schemes, Transport Wednesday Poster Session

Speaker

David Sagan (Cornell University (CLASSE))

Description

We present a study of the systematic uncertainties in beam size determination using sextupole strength variations. Variations in strength of a sextupole magnet in a storage ring result in changes to the closed orbit, phase functions and tunes which depend on the position of the beam relative to the center of the sextupole and on the beam size. We take advantage of the beam-based measurements of sextupole alignment errors and calibration correction factors obtained in 2022 to improve our model of the Cornell Electron/positron Storage Ring optics and assess accuracy limits in the beam size determination. Two measurement sets for the 76 sextupole magnets are compared: 1) the commonly used method of measuring tune variation for a single sextupole strength change at a given set of beam positions in the sextupole, and 2) using the linear term in the dependence of orbit and quadrupole kicks resulting from a set of sextupole strength changes. The latter are determined from polynomial fits to the difference orbits, phase functions and tunes arising from the sextupole strength changes. The first analysis neglects the effect of the beam size, leading to a small error in the offset determination. The second method fully accounts for the beam size and gives a second estimate for the alignment error. The differing sources of uncertainty in the two methods are assessed and discussed.

Funding Agency

This work is supported by National Science Foundation award number DMR-1829070.

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Primary author

James Crittenden (Cornell University (CLASSE))

Co-authors

Abigail Fagan (Cornell University (CLASSE)) Ariel Shaked (Cornell University (CLASSE)) David Sagan (Cornell University (CLASSE)) Georg Hoffstaetter (Cornell University (CLASSE)) Hannah Duan (Cornell University (CLASSE)) Ishaan Mishra (Rose-Hulman Institute of Technology) James Wang (Cornell University (CLASSE)) Vardan Khachatryan (Cornell University (CLASSE))

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