In this seminar I will discuss Stochastic Gravitational Wave Backgrounds (SGWB) characterization with LISA. After a general introduction on SGWB detection, I will explain the peculiar features of LISA with a focus on the response function and on the noise spectrum. The core of my talk will be the presentation of two different methods for model independent SGWB frequency reconstruction:
- The so-called ``binning method'' (1906.09244, 2009.11845) based on the idea of approximating the signal with a piecewise-defined function where each sub-function is a power law.
- A more recent method (2004.01135) based on principal components analysis. The problem of component separation to disentangle a cosmological SGWB from astrophysical foregrounds is addressed in both cases.
- The so-called ``binning method'' (1906.09244, 2009.11845) based on the idea of approximating the signal with a piecewise-defined function where each sub-function is a power law.
- A more recent method (2004.01135) based on principal components analysis. The problem of component separation to disentangle a cosmological SGWB from astrophysical foregrounds is addressed in both cases.
Dates:
Mardi, 16 février, 2021 - 14:00 to 15:00
Localisation / Location:
APC
Salle / Local:
https://u-paris.zoom.us/j/87016236807?pwd=SkJNU0Q1d1lYU1BxZzlvZXpKblkzQT09
- Séminaire
Nom/Prénom // Last name/First name:
Mauro Pieroni
Affiliation:
Imperial College
Equipe(s) organisatrice(s) / Organizing team(s):
- Théorie
Pays / Country:
United Kingdom