-
Artem Lutsenko (University of Padova)Poster contribution
We present a new estimate of the local dark matter density by
combining an updated observational determination of the stellar and
remnant mass density with an updated baryonic model and the Galactic
rotation curve.The stellar mass density is derived from the Gaia Catalogue of Nearby
Go to contribution page
Stars within 100 pc using synthetic stellar atmospheres and
evolutionary tracks to compute individual... -
Riccardo MaifrediPoster contribution
We present the electrical modeling and preliminary noise characterization of a multi-mode Bulk Acoustic Wave (BAW) gravitational wave detector operating in the 100 kHz–10 MHz frequency range. The detector employs piezoelectric quartz resonators read out by two-stage DC SQUID amplifiers, whose ultra-low-noise performance is essential to approach strain sensitivities at the level of ~10⁻²¹...
Go to contribution page -
Fabio Dottavi (University of Milan bicocca)Poster contribution
Next-generation nano-accelerometers, featuring advanced sensor architectures and integrated front-ends, represent a leap in measuring non-gravitational perturbations like solar radiation pressure during missions to Mercury's orbit. These instruments enable unprecedented precision in spacecraft orbit determination and gravity field recovery up to high degrees, allowing refined models of...
Go to contribution page -
Andrea TrostPoster contribution
The Sandage–Loeb test provides a direct and model-independent probe of cosmic expansion by measuring the temporal drift of cosmological redshifts, offering a fundamentally different observable from standard distance-based probes. In this talk, I will present the current status of the ESPRESSO redshift drift experiment, focusing on recent results from the third observational epoch of a bright z...
Go to contribution page -
Lorenzo Viganò (Università di Trento - Milano-Bicocca)Poster contribution
A major challenge in LISA data analysis lies in the incomplete characterization of instrumental noise, motivating the development of robust, noise-agnostic detection techniques. In this work, we explore the application of Topological Data Analysis (TDA) as a novel framework for identifying deterministic gravitational wave (GW) signals embedded in noisy data. Our approach leverages Time Delay...
Go to contribution page
Choose timezone
Your profile timezone: