Supernova Pointing Capabilities of DUNE
DUNE Collaboration: A. Abed Abud, B. Abi, R. Acciarri, M. A. Acero, M. R. Adames, G. Adamov, M. Adamowski, D. Adams, M. Adinolfi, C. Adriano, A. Aduszkiewicz, J. Aguilar, B. Aimard, F. Akbar, K. Allison, S. Alonso Monsalve, M. Alrashed, A. Alton, R. Alvarez, T. Alves, H. Amar

TL;DR
This paper introduces a new method for reconstructing supernova directions using neutrino detection in DUNE, achieving a pointing resolution of around 3.4 to 6.6 degrees depending on detector size and classification accuracy.
Contribution
The paper presents a novel technique called 'brems flipping' for supernova neutrino direction reconstruction in DUNE, with detailed simulation studies of its performance.
Findings
Pointing resolution of 3.4 degrees at 68% for a 40 kton detector.
Pointing resolution of 6.6 degrees at 68% for a 10 kton detector.
Misidentification rate of 4% increases the resolution to approximately 4.3 to 8.7 degrees.
Abstract
The determination of the direction of a stellar core collapse via its neutrino emission is crucial for the identification of the progenitor for a multimessenger follow-up. A highly effective method of reconstructing supernova directions within the Deep Underground Neutrino Experiment (DUNE) is introduced. The supernova neutrino pointing resolution is studied by simulating and reconstructing electron-neutrino charged-current absorption on 40Ar and elastic scattering of neutrinos on electrons. Procedures to reconstruct individual interactions, including a newly developed technique called ``brems flipping'', as well as the burst direction from an ensemble of interactions are described. Performance of the burst direction reconstruction is evaluated for supernovae happening at a distance of 10 kpc for a specific supernova burst flux model. The pointing resolution is found to be 3.4 degrees…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
