Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case

Understand

Astronomy has entered the big data era and Machine Learning based methods have found widespread use in a large variety of astronomical applications.

• This is demonstrated by the recent huge increase in the number of publications making use of this new approach.
• The usage of machine learning methods, however is still far from trivial and many problems still need to be solved.
• Using the evaluation of photometric redshifts as a case study, we outline the main problems and some ongoing efforts to solve them.