Daniel Perrefort

  • Research Assistant Professor


    With the upcoming launch of new survey telescopes like the Large Synoptic Survey Telescope (LSST), time domain astronomy is rapidly moving into an era of big data. By the mid-2020's large, readily available datasets will be used to explore our universe in previously impossible ways. This will raise exciting new questions and will require a collection of new analysis techniques to probe an unprecedented amount of astronomical data. My research is focused on developing the tools that will be necessary for this new era to process observations and discover new physics.

    I focus on the development and application of new analysis techniques relevant for supernova cosmology. The thermonuclear explosions of Type Ia Supernova (SNe Ia) produce a highly standardizable luminosity over time, making them a common tool for measuring cosmological parameters. However, there are still many unanswered questions in supernova cosmology. At present, the progenitor systems of SNe Ia are currently under debate. Furthermore, there is an increasing diversity in observed SNe Ia that is lacking a complete theoretical explanation. Using the right collection of analysis tools, the large increase in observed supernova by LSST promises to provide answers to these questions.