500 Wilson Blvd, Rochester, NY

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Pierre-Francois Leget (LPNHE, France) "Type la Supernova cosmology challenges and implications for constraining
dark energy properties using LSST"

Abstract: Abstract:
The disscsovery of the accelerating expansion of the Universe though the observation of distant type la supernovae (SNIa) showed that the Universe consists of 70% of “dark energy” whose nature remains unknown.  At present, one of the best approaches for determining the properties of dark energy is to measure its equation of state parameter from mapping the history of cosmic expansion using SNe la.  However, SNe la measurements are dominated by systematic uncertainties, mainly related to photometric calibration procedures, as well as systematic uncertainties that comes from the remaining variability of SNe la.  These different sources of systematics limit the accuracy of the measurement of dark energy properties.  It is therefore necessary to understand and correct these sources of systematics in order to improve distance measurement on SNe la and consequently constraint on dark energy.  This is one of the main objectives of upcoming ground based surveys such as LSST.  During the seminar I will focus on the unmodeled physical properties of SNIa and on how spectral information can help improve the precision of distances of SNe la.  I will first present the current cosmological context, focusing on the state of the art of using SNe la in cosmology.  I will then discuss the limitations of the current method which is based on light curves properties (stretch, color).  Then, I will introduce the new SNla model called the SUpernova Generator and Reconstructor (SUGAR) which I developed within The Nearby Supernova Factory collaboration and which imporves significantly the spectrtophotometric description of SNe la, hence the distance inference.  Finally, I will talk about the implication of the use of SUGAR in the context of LSST and how it will help to understand properties of dark energy in the context of the LSST ground based survey.

Tea at 3:45 p.m. Bausch & Lomb Hall

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