Catching supermassive black holes with Rubin-LSST: Towards novel insights and discoveries into AGN science

Session

Rubin-LSST AGN Science Collaboration

22 Jul 2024, 09:30

Planetario di Torino “Attilio Ferrari” (Pino Torinese (Turin))

Conveners

Rubin-LSST AGN Science Collaboration

• chair: Claudia M. Raiteri

53. Registration

22/07/2024, 09:30

51. Welcome

Claudia Maria Raiteri (Istituto Nazionale di Astrofisica (INAF))

22/07/2024, 09:50

2. The 2024 State of the LSST AGN Science Collaboration

William Brandt (Penn State University)

22/07/2024, 10:00

The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will enable studies of the growing supermassive black holes in active galactic nuclei (AGNs) on a truly massive scale. The LSST AGN Science Collaboration (SC), currently composed of 190 members spanning the globe (and rapidly growing), aims to lead many of these investigations and is preparing for AGN science with the...

49. Update on the AGN SC Subgroups activities

Amy Secunda (Princeton University), Prof. Claudio Ricci (Universidad Diego Portales), Dr Weixiang Yu (Bishop's University)

22/07/2024, 10:20

50. LSST@Europe6

Jose Acosta

22/07/2024, 10:40

40. AGILE: an empirical simulation pipeline to provide realistic LSST catalog-level data including AGN, galaxies and stars

Angela Bongiorno (Istituto Nazionale di Astrofisica (INAF))

22/07/2024, 10:50

Realistic photometric catalogs including AGN, galaxies and stars are
essential tools in assessing the performance and systematics of a large-scale
survey such as LSST. Up to now the DP0 database is massively used as training
sample to forecast future LSST observations, but does not include a realistic
population of AGN.
I will present AGILE (AGN In the LSST Era), a large-scale empirical...