Published in Nature Astronomy · View the paper (DOI)
A new study introduces CIGaRS, a novel approach to derive highly precise estimates of cosmic distances and robust cosmological measurements. This method uses artificial intelligence and neural networks to disentangle the intrinsic effects on supernovae light from environmental factors.
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