In this poster we presented the novel open-access software for core collapse supernovae optical analysis: CASTOR. This software enables the reconstruction of synthetic light curves and spectra via a machine learning technique that allows to retrieve the complete parameter map of a supernova having as only input the multi-band photometry data. This approach is particularly significant in view of the Large Synoptic Survey Telescope (LSST), which will create a deficiency in spectroscopic data necessary to confirm the nature and fully characterize each event.
Core collaApse Supernovae parameTers estimatOR a novel software for data analysis / Simongini, A.; Ragosta, F.; Piranomonte, S.; Di Palma, I.. - (2025). (Intervento presentato al convegno 9th Roma International Conference on Astroparticle Physics, RICAP 2024 tenutosi a ita nel 2024).
Core collaApse Supernovae parameTers estimatOR a novel software for data analysis
Ragosta F.;
2025
Abstract
In this poster we presented the novel open-access software for core collapse supernovae optical analysis: CASTOR. This software enables the reconstruction of synthetic light curves and spectra via a machine learning technique that allows to retrieve the complete parameter map of a supernova having as only input the multi-band photometry data. This approach is particularly significant in view of the Large Synoptic Survey Telescope (LSST), which will create a deficiency in spectroscopic data necessary to confirm the nature and fully characterize each event.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
