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@ARTICLE{Mitra:601415,
      author       = {Mitra, P. and Scholten, O. and Trinh, T. N. G. and Buitink,
                      S. and Bhavani, J. and Corstanje, A. and Desmet, M. and
                      Falcke, H. and Hare, B. M. and Hörandel, J. R. and Huege,
                      T. and Karastathis, N. and Krampah, G. K. and Mulrey, K. and
                      Nelles, A. and Pandya, H. and Thoudam, S. and de Vries, K.
                      D. and ter Veen, S.},
      title        = {{R}econstructing air shower parameters with {MGMR}3{D}},
      journal      = {Physical review / D},
      volume       = {108},
      number       = {8},
      issn         = {2470-0010},
      address      = {Ridge, NY},
      publisher    = {American Physical Society},
      reportid     = {PUBDB-2024-00169, arXiv:2307.04242},
      pages        = {083041},
      year         = {2023},
      abstract     = {Measuring the radio emission from cosmic-ray particle
                      cascades has proven to be a very efficient method to
                      determine their properties such as the mass composition.
                      Efficient modeling of the radio emission from air showers is
                      crucial in order to extract the cosmic-ray physics
                      parameters from the measured radio emission. MGMR3D is a
                      fast semianalytic code that calculates the complete radio
                      footprint, i.e., intensity, polarization, and pulse shapes,
                      for a parametrized shower-current density and can be used in
                      a chi-square optimization to fit a given radio data. It is
                      many orders of magnitude faster than its Monte Carlo
                      counterparts. We provide a detailed comparative study of
                      MGMR3D to Monte Carlo simulations, where, with improved
                      parametrizations, the shower maximum Xmax is found to have
                      very strong agreement with a small dependency on the
                      incoming zenith angle of the shower. Another interesting
                      feature we observe with MGMR3D is sensitivity to the shape
                      of the longitudinal profile in addition to Xmax. This is
                      achieved by probing the distinguishable radio footprint
                      produced by a shower having a different longitudinal profile
                      than usual. Furthermore, for the first time, we show the
                      results of reconstructing shower parameters for
                      Low-Frequency Array data using MGMR3D, and obtaining a Xmax
                      resolution of 22 g/cm2 and energy resolution of $19\%.$},
      keywords     = {showers: atmosphere (INSPIRE) / numerical calculations:
                      Monte Carlo (INSPIRE) / radio wave (INSPIRE) / cosmic
                      radiation (INSPIRE) / longitudinal (INSPIRE) / air (INSPIRE)
                      / density (INSPIRE) / sensitivity (INSPIRE) /
                      parametrization (INSPIRE) / polarization (INSPIRE) / cascade
                      (INSPIRE) / optimization (INSPIRE) / energy resolution
                      (INSPIRE) / emission (INSPIRE) / current (INSPIRE) / mass
                      spectrum (INSPIRE) / resolution (INSPIRE)},
      cin          = {Z-RAD},
      ddc          = {530},
      cid          = {I:(DE-H253)Z-RAD-20210408},
      pnm          = {613 - Matter and Radiation from the Universe (POF4-613)},
      pid          = {G:(DE-HGF)POF4-613},
      experiment   = {EXP:(DE-H253)RNO-G-20230101},
      typ          = {PUB:(DE-HGF)16},
      eprint       = {2307.04242},
      howpublished = {arXiv:2307.04242},
      archivePrefix = {arXiv},
      SLACcitation = {$\%\%CITATION$ = $arXiv:2307.04242;\%\%$},
      UT           = {WOS:001098183000002},
      doi          = {10.1103/PhysRevD.108.083041},
      url          = {https://bib-pubdb1.desy.de/record/601415},
}