Constraining solar electron number density via neutrino flavor data at Borexino

Understanding the physics of the deep solar interior, and the more exotic environs of core-collapse supernovae (CCSN) and binary neutron-star (NS) mergers, is of keen interest in many avenues of research. To date, this physics is based largely on simulations via forward integration. While these simulations provide valuable constraints, it could be insightful to adopt the ``inverse approach'' as a point of comparison. Within this paradigm, parameters of the solar interior are not output based on an assumed model, but rather are inferred based on real data. We take the specific case of solar electron number density, which historically is taken as output from the standard solar model. We show how one may arrive at an independent constraint on that density profile based on available neutrino flavor data from the Earth-based Borexino experiment. The inference technique's ability to offer a unique lens on physics can be extended to other datasets, and to analogous questions for CCSN and NS mergers, albeit with simulated data.

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Publication Details

Journal
Physical review. D/Physical review. D.
Published
2024-08-05
DOI
https://doi.org/10.1103/physrevd.110.043011
Citations
3
Primary Topic
Gamma-ray bursts and supernovae
Type
article
Field-Weighted Citation Impact
0.99

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article

Constraining solar electron number density via neutrino flavor data at Borexino

M. Margarette Sanchez, Caroline Laber-Smith, Eve Armstrong, A. B. Balantekin et al.
3 citations
Physical review. D/Physical review. D.
Gamma-ray bursts and supernovae
0.99
article

Constraining solar electron number density via neutrino flavor data at Borexino

M. Margarette Sanchez, Caroline Laber-Smith, Eve Armstrong, A. B. Balantekin, Amol V. Patwardhan, Sarah Ranginwala, Elizabeth K. Jones, Hansen Torres, L. L. Newkirk
article en
3 citations

Abstract

Understanding the physics of the deep solar interior, and the more exotic environs of core-collapse supernovae (CCSN) and binary neutron-star (NS) mergers, is of keen interest in many avenues of research. To date, this physics is based largely on simulations via forward integration. While these simulations provide valuable constraints, it could be insightful to adopt the ``inverse approach'' as a point of comparison. Within this paradigm, parameters of the solar interior are not output based on an assumed model, but rather are inferred based on real data. We take the specific case of solar electron number density, which historically is taken as output from the standard solar model. We show how one may arrive at an independent constraint on that density profile based on available neutrino flavor data from the Earth-based Borexino experiment. The inference technique's ability to offer a unique lens on physics can be extended to other datasets, and to analogous questions for CCSN and NS mergers, albeit with simulated data.

Physical review. D/Physical review. D.Vol. 110(4)
University of Minnesota (US), Harvey Mudd College (US), American Museum of Natural History (US), University of Wisconsin–Madison (US), University of Minnesota System (US), SLAC National Accelerator Laboratory (US), New York Institute of Technology (US)
National Science Foundation, U.S. Department of Energy, University of Minnesota, New York Institute of Technology, Mainz Institute for Theoretical Physics, Johannes Gutenberg University Mainz, SLAC National Accelerator Laboratory
Zero hunger
Openalex Percentile: Top 24%
Gamma-ray bursts and supernovae
0.99
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