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RIS citation export for TUP34: LHC Schottky Spectrum from Macro-Particle Simulations

TY  - CONF
AU  - Lannoy, C.
AU  - Alves, D.
AU  - Mounet, N.
AU  - Pieloni, T.
AU  - Łasocha, K.
ED  - Forck, Peter
ED  - Wawrzyniak, Adriana
ED  - Schaa, Volker R.W.
ED  - Kowalski, Grzegorz W.
ED  - Cudek, Agnieszka (SOLARIS, Kraków
TI  - LHC Schottky Spectrum from Macro-Particle Simulations
J2  - Proc. of IBIC2022, Kraków, Poland, 11-15 September 2022
CY  - Kraków, Poland
T2  - International Beam Instrumentation Conference
T3  - 11
LA  - english
AB  - We introduce a method for building Schottky spectra from macro-particle simulations performed with the PyHEADTAIL code, applied to LHC beam conditions. In this case, the use of a standard Fast Fourier Transform (FFT) algorithm to recover the spectral content of the beam becomes computationally intractable memory-wise, because of the relatively short bunch length compared to the large revolution period. This would imply having to handle an extremely large amount of data for performing the FFT. To circumvent this difficulty, a semi-analytical method was developed to compute efficiently the Fourier transform. The spectral content of the beam is calculated on the fly along with the macro-particle simulation and stored in a compact manner, independently from the number of particles, thus allowing the processing of one million macro-particles in the LHC, over 10’000 revolutions, in a few hours, on a regular computer. The simulated Schottky spectrum is then compared against theoretical formulas and measurements of Schottky signals previously obtained with lead ion beams in the LHC.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 308
EP  - 312
KW  - simulation
KW  - synchrotron
KW  - betatron
KW  - operation
KW  - MMI
DA  - 2022/12
PY  - 2022
SN  - 2673-5350
SN  - 978-3-95450-241-7
DO  - doi:10.18429/JACoW-IBIC2022-TUP34
UR  - https://jacow.org/ibic2022/papers/tup34.pdf
ER  -