Mandel Lab

University of Cambridge

- · United Kingdom

ERC-funded
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ERC Consolidator Grant · 2020

Next-Generation Data-Driven Probabilistic Modelling of Type Ia Supernova SEDs in the Optical to Near-Infrared for Robust Cosmological Inference

Type Ia supernovae (SNe Ia) are used as “standardiseable candles”: their peak luminosities can be inferred from their optical light curve shapes and colours, so their distances can be estimated from their apparent brightnesses. SN Ia distances with high precision and small systematic error are essential to accurate constraints on the cosmic expansion history, local measurements of the Hubble constant, and the properties of the dark energy driving the acceleration, in particular, its equation-of-state parameter w. The current global sample used for cosmology has grown to over a thousand SNe Ia. Future surveys will boost that number by orders of magnitude. However, the constraints on dark…

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