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RIS citation export for THPAB273: Spectral Reconstruction for FACET-II Compton Spectrometer

TY  - CONF
AU  - Zhuang, Y.
AU  - Naranjo, B.
AU  - Rosenzweig, J.B.
AU  - Yadav, M.
ED  - Liu, Lin
ED  - Byrd, John M.
ED  - Neuenschwander, Regis T.
ED  - Picoreti, Renan
ED  - Schaa, Volker R. W.
TI  - Spectral Reconstruction for FACET-II Compton Spectrometer
J2  - Proc. of IPAC2021, Campinas, SP, Brazil, 24-28 May 2021
CY  - Campinas, SP, Brazil
T2  - International Particle Accelerator Conference
T3  - 12
LA  - english
AB  - The Compton spectrometer under development at UCLA for FACET-II is a versatile tool to analyze gamma-ray spectra in a single shot, in which the energy and angular position of the incoming photons are recorded by observing the momenta and position of Compton scattered electrons. We present methods to reconstruct the primary spectrum from these data via machine learning and the EM Algorithm. A multi-layer fully connected neural network is used to perform the regression task of reconstructing both the double-differential spectrum and the photon energy spectrum incident with zero angular offset. We present the expected performance of these techniques, concentrating on the achievable energy resolution.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 4346
EP  - 4348
KW  - photon
KW  - network
KW  - electron
KW  - site
KW  - positron
DA  - 2021/08
PY  - 2021
SN  - 2673-5490
SN  - 978-3-95450-214-1
DO  - doi:10.18429/JACoW-IPAC2021-THPAB273
UR  - https://jacow.org/ipac2021/papers/thpab273.pdf
ER  -