Fitting Supernova Spectral Parameters with DUNE*

The Deep Underground Neutrino Experiment (DUNE) is an upcoming experiment dedicated to the study of neutrino oscillation physics, nucleon decay, and core-collapse supernova neutrinos. Set for operation in 2026, DUNE will utilize the world's largest liquid argon time-projection chamber at 40 kt fiducial volume. The DUNE detector will detect approximately 3000 neutrinos from a supernova occurring 10 kpc from Earth. These neutrinos have much lower energies (few to 10s of MeV energy range) than those studied in the rest of DUNE's physics program. In order to optimize the DUNE neutrino detectors for low-energy physics, the collaboration has initiated simulation studies to investigate DUNE’s ability to measure supernova spectral parameters. This talk will present an algorithm developed using the program SuperNova Observatories with General Long Baseline Experiment Simulator (SNOwGLoBES). These studies will provide constraints on different detector parameters that affect the measurements, quantify the uncertainty in the measurements, and help prepare DUNE for future supernovae.