QUOTAS: A new research platform for the data-driven investigation of black holes

Understand

We present QUOTAS, a novel research platform for the data-driven investigation of super-massive black hole (SMBH) populations.

• While SMBH data sets -- observations and simulations -- have grown rapidly in complexity and abundance, our computational environments and analysis tools have not matured commensurately to exhaust opportunities for discovery.
• Motivated to explore BH host galaxy and the parent dark matter halo connection, in this pilot version of QUOTAS, we assemble and co-locate the high-redshift, luminous quasar population at $z \geq 3$ alongside simulated data of the same epochs.
• Leveraging machine learning algorithms (ML) we expand simulation volumes that successfully replicate halo populations beyond the training set.