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Deep learning based event reconstruction for cyclotron radiation emission spectroscopy

Deep learning based event reconstruction for cyclotron radiation emission spectroscopy

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_iop_journals_10_1088_2632_2153_ad3ee3

Publication information

Publisher

Bristol: IOP Publishing

More information

Scope and Contents

Contents

The objective of the cyclotron radiation emission spectroscopy (CRES) technology is to build precise particle energy spectra. This is achieved by identifying the start frequencies of charged particle trajectories which, when exposed to an external magnetic field, leave semi-linear profiles (called tracks) in the time–frequency plane. Due to the nee...

Alternative Titles

Full title

Deep learning based event reconstruction for cyclotron radiation emission spectroscopy

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_iop_journals_10_1088_2632_2153_ad3ee3

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_iop_journals_10_1088_2632_2153_ad3ee3

Other Identifiers

ISSN

2632-2153

E-ISSN

2632-2153

DOI

10.1088/2632-2153/ad3ee3

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