Statistics – Applications
Scientific paper
Jan 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aas...21733728l&link_type=abstract
American Astronomical Society, AAS Meeting #217, #337.28; Bulletin of the American Astronomical Society, Vol. 43, 2011
Statistics
Applications
Scientific paper
A main science goal of LSST is to detect Type Ia supernovae, but the survey will also revolutionize our understanding of core-collapse events. LSST will observe 105 core-collapse supernovae per year out to z 1 and obtain the cosmic supernova rate by direct counting, in an unbiased way and with high statistics. Many science applications will therefore be feasible. Here, we discuss synergies with neutrino detectors and radio observations. The cumulative (anti)neutrino production from all core-collapse supernovae within our cosmic horizon gives rise to a diffuse supernova neutrino background (DSNB) which is on the verge of detectability. The observed flux depends on supernova physics, but also on the cosmic history of supernova explosions. The high precision measurement of the cosmic supernova rate will allow precise predictions of DSNB and make it a strong probe of optically invisible supernovae, which may be unseen either due to unexpected large dust obscuration in host galaxies, or because some core-collapse events proceed directly to black hole formation and fail to give an optical outburst. Another way to uncover optically invisible supernovae would be the next generation radio telescope, the Square Kilometer Array (SKA). SKA will be capable of unbiased synoptic searches over large fields of view with remarkable sensitivity and explode the radio core-collapse supernova inventory from the current number of several dozen in the local universe to 600 yr-1 deg-2 out to z 5. SKA will be complementary to LSST and together provide crucial information for dust evolution and star-formation at high redshift.
Beacom John F.
Chakraborty Nachiketa
Fields Brian D.
Kemball Athol
Lien Amy Y.
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