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@INPROCEEDINGS{Meyer:485527,
      author       = {Meyer, Manuel and Isleif, Katharina-Sophie and Januschek,
                      Friederike and Lindner, Axel and Othman, Gulden and Rubiera
                      Gimeno, José Alejandro and Schwemmbauer, Christina and
                      Schott, Matthias and Shah, Rikhav},
      collaboration = {{ALPS Collaboration}},
      title        = {{A} first application of machine and deep learning for
                      background rejection in the {ALPS} {II} {TES} detector},
      journal      = {Annalen der Physik},
      volume       = {536},
      number       = {1},
      issn         = {0003-3804},
      address      = {Berlin},
      publisher    = {Wiley-VCH},
      reportid     = {PUBDB-2022-06682},
      pages        = {2200545},
      year         = {2023},
      note         = {Published as open access},
      abstract     = {Axions and axion-like particles are hypothetical particles
                      predicted in extensions of the standard model and are
                      promising cold dark matter candidates. The Any Light
                      Particle Search (ALPS II) experiment is a
                      light-shining-through-the-wall experiment that aims to
                      produce these particles from a strong light source and
                      magnetic field and subsequently detect them through a
                      reconversion into photons. With an expected rate $\sim$ 1
                      photon per day, a sensitive detection scheme needs to be
                      employed and characterized. One foreseen detector is based
                      on a transition edge sensor (TES). Here, we investigate
                      machine and deep learning algorithms for the rejection of
                      background events recorded with the TES. We also present a
                      first application of convolutional neural networks to
                      classify time series data measured with the TES.},
      month         = {Aug},
      date          = {2022-08-08},
      organization  = {17th Patras Workshop on Axions, WIMPs
                       and WISPs, Mainz (Germany), 8 Aug 2022
                       - 12 Aug 2022},
      cin          = {ALPS},
      ddc          = {530},
      cid          = {I:(DE-H253)ALPS-20130318},
      pnm          = {611 - Fundamental Particles and Forces (POF4-611) / AxionDM
                      - Searching for axion and axion-like-particle dark matter in
                      the laboratory and with high-energy astrophysical
                      observations (948689) / DFG project 390833306 - EXC 2121:
                      Quantum Universe (390833306)},
      pid          = {G:(DE-HGF)POF4-611 / G:(EU-Grant)948689 /
                      G:(GEPRIS)390833306},
      experiment   = {EXP:(DE-H253)ALPS-20150101},
      typ          = {PUB:(DE-HGF)16 / PUB:(DE-HGF)8},
      UT           = {WOS:000981825400001},
      doi          = {10.1002/andp.202200545},
      url          = {https://bib-pubdb1.desy.de/record/485527},
}