De-noising cosmological covariance matrices using Rotational Invariant estimators

15 Jul 2025, 12:30
30m

Speaker

Antonio Farina (Istituto Nazionale di Astrofisica (INAF))

Description

In this talk, I will explore the potential of de-noising large cosmological covariance matrices using analytical techniques from Random Matrix Theory, particularly the class of Rotational Invariant estimators. I will evaluate the performance of this approach using galaxy clustering statistics and I will compare them with non-linear shrinkage methods, highlighting their advantages and limitations.

Author

Antonio Farina (Istituto Nazionale di Astrofisica (INAF))

Co-authors

Alfonso Veropalumbo (Istituto Nazionale di Astrofisica (INAF)) Enzo franco Branchini Massimo Guidi (University of Bologna)

Presentation materials

There are no materials yet.