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A primary goal of the upcoming Deep Underground Neutrino Experiment (DUNE) is to measure the Oo10 thorn MeV neutrinos produced by a Galactic core-collapse supernova if one should occur during the lifetime of the experiment. The liquid-argon-based detectors planned for DUNE are expected to be uniquely sensitive to the & nu;e component of the supernova flux, enabling a wide variety of physics and astrophysics measurements. A key requirement for a correct interpretation of these measurements is a good understanding of the energy-dependent total cross section & sigma;oE & nu; thorn for charged-current & nu;e absorption on argon. In the context of a simulated extraction of supernova & nu;e spectral parameters from a toy analysis, we investigate the impact of & sigma;oE & nu; thorn modeling uncertainties on DUNE's supernova neutrino physics sensitivity for the first time. We find that the currently large theoretical uncertainties on & sigma;oE & nu; thorn must be substantially reduced before the & nu;e flux parameters can be extracted reliably; in the absence of external constraints, a measurement of the integrated neutrino luminosity with less than 10% bias with DUNE requires & sigma;oE & nu; thorn to be known to about 5%. The neutrino spectral shape parameters can be known to better than 10% for a 20% uncertainty on the cross-section scale, although they will be sensitive to uncertainties on the shape of & sigma;oE & nu; thorn . A direct measurement of low-energy & nu;e-argon scattering would be invaluable for improving the theoretical precision to the needed level.
Abed Abud, A., Abi, B., Acciarri, R., Acero, M., Adames, M., Adamov, G., et al. (2023). Impact of cross-section uncertainties on supernova neutrino spectral parameter fitting in the Deep Underground Neutrino Experiment. PHYSICAL REVIEW D, 107(11), 1-25 [10.1103/PhysRevD.107.112012].
Impact of cross-section uncertainties on supernova neutrino spectral parameter fitting in the Deep Underground Neutrino Experiment
Abed Abud, A.;Abi, B.;Acciarri, R.;Acero, M. A.;Adames, M. R.;Adamov, G.;Adamowski, M.;Adams, D.;Adinolfi, M.;Adriano, C.;Aduszkiewicz, A.;Aguilar, J.;Ahmad, Z.;Ahmed, J.;Aimard, B.;Akbar, F.;Allison, K.;Alonso Monsalve, S.;Alrashed, M.;Alton, A.;Alvarez, R.;Amedo, P.;Anderson, J.;Andrade, D. A.;Andreopoulos, C.;Andreotti, M.;Andrews, M. P.;Andrianala, F.;Andringa, S.;Anfimov, N.;Anicézio Campanelli, W. L.;Ankowski, A.;Antoniassi, M.;Antonova, M.;Antoshkin, A.;Aranda-Fernandez, A.;Arellano, L.;Arnold, L. O.;Arroyave, M. A.;Asaadi, J.;Ashkenazi, A.;Asquith, L.;Atkin, E.;Auguste, D.;Aurisano, A.;Aushev, V.;Autiero, D.;Ayala-Torres, M.;Azfar, F.;Back, A.;Back, H.;Back, J. J.;Bagaturia, I.;Bagby, L.;Balashov, N.;Balasubramanian, S.;Baldi, P.;Baldini, W.;Baller, B.;Bambah, B.;Banerjee, R.;Barao, F.;Barenboim, G.;Barham Alzás, P.;Barker, G. J.;Barkhouse, W.;Barnes, C.;Barr, G.;Barranco Monarca, J.;Barros, A.;Barros, N.;Barrow, J. L.;Basharina-Freshville, A.;Bashyal, A.;Basque, V.;Batchelor, C.;Battat, J. B. R.;Battisti, F.;Bay, F.;Bazetto, M. C. Q.;Bazo Alba, J. L. L.;Beacom, J. F.;Bechetoille, E.;Behera, B.;Belchior, E.;Bell, G.;Bellantoni, L.;Bellettini, G.;Bellini, V.;Beltramello, O.;Benekos, N.;Benitez Montiel, C.;Benjamin, D.;Bento Neves, F.;Berger, J.;Berkman, S.;Bernardini, P.;Berner, R. M.;Bersani, A.;Bertolucci, S.;Betancourt, M.;Betancur Rodríguez, A.;Bevan, A.;Bezawada, Y.;Bezerra, A. T.;Bezerra, T. J.;Bhambure, J.;Bhardwaj, A.;Bhatnagar, V.;Bhattacharjee, M.;Bhattacharya, M.;Bhattarai, D.;Bhuller, S.;Bhuyan, B.;Biagi, S.;Bian, J.;Biery, K.;Bilki, B.;Bishai, M.;Bitadze, A.;Blake, A.;Blaszczyk, F. D.;Blazey, G. C.;Blend, D.;Blucher, E.;Boissevain, J.;Bolognesi, S.;Bolton, T.;Bomben, L.;Bonesini, M.;Bonilla-Diaz, C.;Bonini, F.;Booth, A.;Boran, F.;Bordoni, S.;Borkum, A.;Bostan, N.;Bour, P.;Bracinik, J.;Braga, D.;Brailsford, D.;Branca, A.;Brandt, A.;Bravo-Moreno, M.;Bremer, J.;Brew, C.;Brice, S. 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C.;Sanchez-Lucas, P.;Sandberg, V.;Sanders, D. A.;Sankey, D.;Santoro, D.;Saoulidou, N.;Sapienza, P.;Sarasty, C.;Sarcevic, I.;Sarra, I.;Savage, G.;Savinov, V.;Scanavini, G.;Scaramelli, A.;Scarff, A.;Scarpelli, A.;Schefke, T.;Schellman, H.;Schifano, S.;Schlabach, P.;Schmitz, D.;Schneider, A. W.;Scholberg, K.;Schukraft, A.;Segreto, E.;Selyunin, A.;Senise, C. R.;Sensenig, J.;Shaevitz, M. H.;Shafaq, S.;Shaker, F.;Shanahan, P.;Sharma, H. R.;Sharma, R.;Kumar, R.;Shaw, K.;Shaw, T.;Shchablo, K.;Shepherd-Themistocleous, C.;Sheshukov, A.;Shi, W.;Shin, S.;Shoemaker, I.;Shooltz, D.;Shrock, R.;Siddi, B.;Silber, J.;Simard, L.;Sinclair, J.;Sinev, G.;Singh, Jaydip;Singh, J.;Singh, L.;Singh, P.;Singh, V.;Singh Chauhan, S.;Sipos, R.;Sironneau, C.;Sirri, G.;Siyeon, K.;Skarpaas, K.;Smith, E.;Smith, P.;Smolik, J.;Smy, M.;Snider, E. L.;Snopok, P.;Snowden-Ifft, D.;Soares Nunes, M.;Sobel, H.;Soderberg, M.;Sokolov, S.;Solano Salinas, C. J.;Söldner-Rembold, S.;Soleti, S. R.;Solomey, N.;Solovov, V.;Sondheim, W. 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2023
Abstract
A primary goal of the upcoming Deep Underground Neutrino Experiment (DUNE) is to measure the Oo10 thorn MeV neutrinos produced by a Galactic core-collapse supernova if one should occur during the lifetime of the experiment. The liquid-argon-based detectors planned for DUNE are expected to be uniquely sensitive to the & nu;e component of the supernova flux, enabling a wide variety of physics and astrophysics measurements. A key requirement for a correct interpretation of these measurements is a good understanding of the energy-dependent total cross section & sigma;oE & nu; thorn for charged-current & nu;e absorption on argon. In the context of a simulated extraction of supernova & nu;e spectral parameters from a toy analysis, we investigate the impact of & sigma;oE & nu; thorn modeling uncertainties on DUNE's supernova neutrino physics sensitivity for the first time. We find that the currently large theoretical uncertainties on & sigma;oE & nu; thorn must be substantially reduced before the & nu;e flux parameters can be extracted reliably; in the absence of external constraints, a measurement of the integrated neutrino luminosity with less than 10% bias with DUNE requires & sigma;oE & nu; thorn to be known to about 5%. The neutrino spectral shape parameters can be known to better than 10% for a 20% uncertainty on the cross-section scale, although they will be sensitive to uncertainties on the shape of & sigma;oE & nu; thorn . A direct measurement of low-energy & nu;e-argon scattering would be invaluable for improving the theoretical precision to the needed level.
Abed Abud, A., Abi, B., Acciarri, R., Acero, M., Adames, M., Adamov, G., et al. (2023). Impact of cross-section uncertainties on supernova neutrino spectral parameter fitting in the Deep Underground Neutrino Experiment. PHYSICAL REVIEW D, 107(11), 1-25 [10.1103/PhysRevD.107.112012].
Abed Abud, A.; Abi, B.; Acciarri, R.; Acero, M. A.; Adames, M. R.; Adamov, G.; Adamowski, M.; Adams, D.; Adinolfi, M.; Adriano, C.; Aduszkiewicz, A.; ...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/958177
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