Transients Illuminating the Fates of the Most Massive Stars

Objective

Two recent revolutions in time-domain astronomy are transforming our understanding of stellar evolution in the most massive regime: the detections of gravitational waves (GW) from binary black holes, and the discovery of new and rare classes of supernovae from wide-field transient surveys. With this, a long-standing prediction from stellar evolution theory is gaining new relevance: that stars with He cores above ~35 solar masses will encounter an instability due to pair-production, resulting in either a series of pulsations and corresponding mass ejections, or the complete disruption of the core in a pair-instability supernova. GW detectors can search for the resulting gap in the black hole mass distribution, while supernova surveys can constrain the occurrence of the pair-instability phenomenon in the low-redshift universe by searching for the associated transients. With the upgrade in survey volume in the 2020s by the LSST project, we have an unprecedented opportunity in finding and studying such rare transients, but first need to solve the substantial needle-in-haystack problem of identifying the relevant candidates from a stream of several million alerts per night. TransPIre will address this by drawing on both the analysis and properties of the current state-of-the-art supernova samples being collected, as well as theoretical expectations of (pulsational) pair-instability supernovae, to build the necessary identification software and deploy it on the LSST alert streams to select the best candidates for follow-up and further analysis. As a result, we will uncover the relation between pair-instability phenomena and extreme transients such as superluminous supernovae, identify which interacting transients have mass-loss histories consistent with pulsational pair-instability mass-loss, and either find the first bona-fide pair-instability supernova in the low redshift universe or place the strongest constraints to date on their occurrence.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

• natural sciences computer and information sciences software
• humanities history and archaeology history
• social sciences political sciences political transitions revolutions
• natural sciences physical sciences astronomy stellar astronomy supernova

Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

• Supernovae
• pair-instability
• transient surveys
• massive stars

Host institution

Beneficiaries (1)