Correlated and Integrated Directionality for sub-MeV solar neutrinos in Borexino
M. Agostini, K. Altenm\"uller, S. Appel, V. Atroshchenko, Z., Bagdasarian, D. Basilico, G. Bellini, J. Benziger, R. Biondi, D. Bravo, B., Caccianiga, F. Calaprice, A. Caminata, P. Cavalcante, A. Chepurnov, D., D'Angelo, S. Davini, A. Derbin, A. Di Giacinto, V. Di Marcello

TL;DR
This paper demonstrates the first measurement of directionality for sub-MeV solar neutrinos in a liquid scintillator detector by exploiting Cherenkov light, enabling improved neutrino source identification and background suppression.
Contribution
It introduces a novel method to detect neutrino directionality in liquid scintillators using Cherenkov light, which was previously only possible in water Cherenkov detectors.
Findings
First directionality measurement of sub-MeV solar neutrinos in a liquid scintillator.
Extraction of the $^{7}$Be solar neutrino rate in Borexino.
Demonstration of Cherenkov light's role in future neutrino experiments.
Abstract
Liquid scintillator detectors play a central role in the detection of neutrinos from various sources. In particular, it is the only technique used so far for the precision spectroscopy of sub-MeV solar neutrinos, as demonstrated by the Borexino experiment at the Gran Sasso National Laboratory in Italy. The benefit of a high light yield, and thus a low energy threshold and a good energy resolution, comes at the cost of the directional information featured by water Cherenkov detectors, measuring B solar neutrinos above a few MeV. In this paper we provide the first directionality measurement of sub-MeV solar neutrinos which exploits the correlation between the first few detected photons in each event and the known position of the Sun for each event. This is also the first signature of directionality in neutrinos elastically scattering off electrons in a liquid scintillator target. This…
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.
