Speaker
Antonio Farina
(Istituto Nazionale di Astrofisica (INAF))
Description
To effectively extract cosmological information from
spectroscopic surveys, it is crucial to accurately characterize their
selection function. This is typically achieved through the use of a
random catalog, which serves as a Monte Carlo realization of the
selection function. In this presentation, I will outline the forward
modeling approach utilized in the creation of the random catalog for the
Euclid spectroscopic survey, emphasizing the challenges inherent in
early data and, particularly, the issues arising from the lack of a
highly pure and complete calibrator at this preliminary stage.
Author
Antonio Farina
(Istituto Nazionale di Astrofisica (INAF))
Co-authors
Alfonso Veropalumbo
(Istituto Nazionale di Astrofisica (INAF))
Benjamin Rudolph Granett
(Istituto Nazionale di Astrofisica (INAF))
Enzo franco Branchini
