Search for gravitational-neutrino correlations on ground-based detectors
Svetlana Andrusenko, Yurii Gavriluk, Andrei Gusev, Daniil Krichevskiy,, Sergei Oreshkin, Sergei Popov, Valentin Rudenko
TL;DR
This paper develops an optimal filtration algorithm to detect correlations between gravitational and neutrino signals from collapsing galactic objects, enhancing detection efficiency by analyzing data from ground-based detectors.
Contribution
It introduces a novel neutrino-gravitational correlation algorithm based on optimal filtration, tailored for existing detectors like OGRAN and BUST, and applies it to supernova data analysis.
Findings
Formulas for statistical efficiency of two-channel data recording
Algorithm steps for joint neutrino-gravity data analysis
Application to supernova SN1987A data
Abstract
The problem of joint data processing from ground-based gravitational and neutrino detectors is considered in order to increase the detection efficiency of collapsing objects in the Galaxy. The development of the "neutrino - gravitational correlation" algorithm is carried out within the framework of the theory of optimal filtration as applied to the well-known OGRAN and BUST facilities located at the BNO INR RAS. The experience of analyzing neutrino and gravitational data obtained during the outburst of supernova SN1987A is used. Sequential steps of the algorithm are presented, formulas for estimating the statistical efficiency of a two-channel recorder are obtained.
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