Speaker
Description
The Vera Rubin Observatory’s Legacy Survey of Space and Time (LSST) will revolutionize time-domain optical astronomy, detecting faint sources down to r~27.5 mag and generating nearly 32 trillion observations over 10 years. Among these, ~10 million will be supernovae (SNe), covering a wide range of redshifts. This unprecedented dataset will allow comprehensive characterization of every phase of supernova evolution—from pre-explosion variability to nebular nucleosynthesis —and represents a major breakthrough for multimessenger astronomy, offering unique opportunities for coordination with neutrino and gravitational wave detectors (LSST Collaboration, Abell, P. A., Allison, J., et al. 2009).
In this contribution I will focus on LSST’s ability to characterize CCSNe using a dataset of 6730 high-detail simulations of type II-P SNe from Moriya et al. 2023, analyzed with the CASTOR software (Simongini et al. 2024) to reconstruct the parametric map of each event. By comparing reconstructed and simulated parameters, we find that, in some cases, LSST data alone will not suffix entirely for fully constraining properties and explosion parameters due to limited spectral coverage, bolometric luminosity uncertainties, and redshift-absorption degeneracy. Follow-up observations, particularly in the infrared, will be essential for precise parameter determination.
This work has been accepted for publication at A&A
Details
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| Internet talk | Maybe |
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| Is this an abstract from experimental collaboration? | No |
| Name of experiment and experimental site | N/A |
| Is the speaker for that presentation defined? | No |