https://ccl2it-formation.in2p3.fr/api.php?action=feedcontributions&feedformat=atom&user=Vasco.gennari 2026-09-10T04:11:57Z User contributions MediaWiki 1.45.3 https://ccl2it-formation.in2p3.fr/index.php?title=Gravitational_waves_resources&diff=53 2026-09-03T02:57:09Z

<p>Vasco.gennari: GW-cosmology contribution</p> <hr /> <div>== Gravitational-wave cosmology ==<br /> <br /> === Material ===<br /> Introductory reviews on this topic, which highlight the different approaches, are<br /> <br /> * [https://inspirehep.net/literature/2759376 Mastrogiovanni et al. (2024)]<br /> * [https://inspirehep.net/literature/2874844 Palmese and Mastrogiovanni (2025)]<br /> <br /> === Theory ===<br /> References on the statistical framework used to combine multiple sources include:<br /> <br /> Hierarchical likelihood and population analyses<br /> <br /> * [https://inspirehep.net/literature/1692979 Mandel, Farr and Gair (2018)]<br /> * [https://inspirehep.net/literature/1806573 Vitale et al. (2020)]<br /> * [https://inspirehep.net/literature/1693268 Thrane and Talbot (2025)]<br /> <br /> Galaxy catalogues<br /> <br /> * [https://inspirehep.net/literature/2616025 Gair et al. (2022)]<br /> * [https://inspirehep.net/literature/2660858 Mastrogiovanni et al. (2023)]<br /> * [https://inspirehep.net/literature/3129151 Cheng and Gair (2026)]<br /> <br /> === Software ===<br /> Several packages have been developed for cosmological inference using gravitational waves. Examples include [https://inspirehep.net/literature/2663307 ICAROGW], [https://inspirehep.net/literature/1963484 gwcosmo] and [https://inspirehep.net/literature/2734729 CHIMERA].<br /> <br /> You can use [https://github.com/vascogennari/icaroverse icaroverse] to run ICAROGW for both LIGO-Virgo-KAGRA and LISA data (only population-based analyses are available at the moment). Tutorials can be found at this [https://github.com/vascogennari/icaroverse#usage page].<br /> <br /> {{Contribute}}</div>

Vasco.gennari