Generation of supernova neutrino signals by Monte Carlo sampling of stellar core collapse simulations

Details Generation of supernova neutrino signals by Monte Carlo sampling of stellar core collapse simulations Generation of supernova neutrino signals by Monte Carlo sampling of stellar core collapse simulations

Aug 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006iaujd...9e..34z&link_type=abstract

Supernovae: One Millennium After SN1006, 26th meeting of the IAU, Joint Discussion 9, 17-18 August 2006, Prague, Czech Republic,

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After the detection and successful analysis of neutrinos from Supernova 1987A the potential that supernova neutrino signals have in the study of neutrino properties and the stellar core collapse physics is fully recognised. Since then many attempts has been done to study the even bigger potential that the analysis of a signal with higher statistics from a future Galactic supernova could have in the determination of the neutrino oscillation parameters and its mass or in the validation of stellar core collapse models. Given the lack of a real Galactic supernova signal all these works rely on theoretical estimates of the global properties that such a signal could have (temporal profiles, average energies, time-integrated spectrum, etc.) In other works however, full-statistics synthetic signals are required. In that works the use of robust statistical techniques applied to signals with all its events has proven to be a more powerful approach to the extraction of information from the signal. In this work we present a computer tool (SUNG package) to generate reliable full-statistics supernova neutrino signals using Monte Carlo sampling techniques. With SUNG synthetic signals are generated by sampling the predicted flux at the detector as computed from the results of large-scale core collapse simulations and including the effects of neutrino conversion and oscillation in the SN mantle and in the mantle and core of the Earth. Particular attention is put into the proper description of the detection processes in different types of present and future detectors. We discuss the role that this kind of tools could have in the context of the Theoretical Virtual Observatory initiative, particularly in what respect to the generation of virtual observations of non-electromagnetic astrophysical signals.

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