How the StarDICE photometric calibration of standard stars can improve cosmological constraints?
T. Souverin, J. Neveu, M. Betoule, S. Bongard, P. E. Blanc, J. Cohen, Tanugi, S. Dagoret-Campagne, F. Feinstein, M. Ferrari, F. Hazenberg, C., Juramy, L. Le Guillou, A. Le Van Suu, M. Moniez, E. Nuss, B. Plez, N., Regnault, E. Sepulveda, K. Sommer

TL;DR
The paper discusses how the StarDICE calibration method, based on NIST standards, can significantly improve the precision of supernova flux calibration, thereby reducing biases in dark energy measurements.
Contribution
It introduces the StarDICE experiment as a new calibration approach that relies on NIST-based observations to achieve sub-percent photometric accuracy.
Findings
Calibration errors can bias cosmological parameters.
StarDICE can recalibrate the CALSPEC catalog at millimagnitude precision.
The method improves flux calibration accuracy for supernova observations.
Abstract
The number of type Ia supernova (SNe Ia) observations will grow significantly within the next decade, mainly thanks to the Legacy Survey of Space and Time (LSST) undertaken by the Vera Rubin Observatory in Chile. With this improvement, statistical uncertainties will decrease, and flux calibration will become the main uncertainty for the characterization of dark energy. Currently, the astronomical flux scale is anchored on the numerical models of white dwarf atmospheres from the CALSPEC catalog, and every error on the model can induce a bias over cosmological parameters inference. The StarDICE experiment proposes a new calibration reference that only relies on observations from the optical watt defined by the NIST towards the magnitude of standard stars. It is currently operating at l'Observatoire de Haute-Provence and has been collecting data since the beginning of 2023. To overcome the…
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Taxonomy
TopicsHistory and Developments in Astronomy · Astronomy and Astrophysical Research · Economic Growth and Productivity
