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Fitting supernova spectral parameters with the Deep Underground Neutrino Experiment

Document #:
Document type:
DUNE document
Submitted by:
Erin Conley
Updated by:
Erin Conley
Document Created:
18 Apr 2019, 11:25
Contents Revised:
02 Dec 2020, 08:10
Metadata Revised:
02 Dec 2020, 08:10
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03 May 2020, 10:28
In order to optimize the Deep Underground Neutrino Experiment (DUNE) neutrino detectors for low-energy supernova physics, the collaboration has initiated various simulation studies to study detector response and reconstruction ability. This technical note outlines studies performed with the program SuperNova Observatories with General Long Baseline Experiment Simulator (SNOwGLoBES). By employing Chisquare minimization on energy spectra generated by SNOwGLoBES, these studies quantify DUNE's prediction ability under various detector parameter assumptions. These studies also examine biases introduced for incorrect assumptions, and these biases might provide constraints for detector parameters. These studies could potentially impact future considerations and recommendations in DUNE in places such as calibration or energy reconstruction.
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