Speaker
Description
In this project, we explore the reconstruction of stochastic gravitational wave backgrounds generated by cosmological phase transitions using LISA, taking into account signals from bubble collisions, sound waves and turbulence. We implement the corresponding signal templates in terms of the both the geometric parameters related to the spectral shape, as well as in terms of the thermodynamical phase transition parameters such as the transition temperature $T_*$, the transition strength $\alpha$ and the time scale $\beta/H_*$. We estimate the prospective parameter reconstruction reach of LISA, employing nested sampling techniques and Fisher analysis and compare the two approaches. To assess the impact of astrophysical foregrounds, we further evaluate the reach with and without their inclusion. Moreover, we interpret our results in terms of fundamental benchmark models and derive constraints on the corresponding model parameters. Our study provides a promising framework to search for gravitational wave signals from cosmological phase transitions and to investigate their properties with LISA.
