The Effect of Neutrino Flavor Oscillations on The Supernova Early Warning Pypeline (SNEWPY)

The observation of the next supernova in our Galaxy will greatly advance our understanding of how massive stars die. The value of an early supernova alert cannot be overstated because it is a once-in-a-generation event. The earliest indication of the explosion is the arrival of the neutrino burst which will lead to a simultaneous increase of the number of neutrino events in all the neutrino detectors around the globe. In order to prepare for such a burst, detectors first have to know what that looks like. Enter SNEWPY. The SNEWPY code is a data pipeline that connects supernova simulation data with the SNOwGLoBES code, which computes event rates for different interaction types in neutrino detectors, then collates the data into observable channels. Using this pipeline, we can explore the landscape of different types of supernovae, thus enhancing the supernova early warning system. As neutrinos travel to Earth, they undergo flavor oscillations modulated by their environment. I will explain how SNEWPY enhances the use of SNOwGLoBES, and discuss the upgrade to SNEWPY that will involve new time and energy dependent flavor transformations.