Kavli Affiliate: Katrin Heitmann | First 5 Authors: Nesar Ramachandra, Jonás Chaves-Montero, Alex Alarcon, Arindam Fadikar, Salman Habib | Summary: Photometric redshift estimation algorithms are often based on representative data from observational campaigns. Data-driven methods of this type are subject to a number of potential deficiencies, such as sample bias and incompleteness. Motivated by these […]
Continue.. Machine learning synthetic spectra for probabilistic redshift estimation: SYTH-Z