Recent and Upcoming Talks

I will introduce a new Machine Learning based model for mapping between dark matter and galaxies, called Mangrove. I’ll show improvements in both precision and speed compared to other similar methods, and discuss how Mangrove opens up new avenues for efficiently learning from simulations.

For the first time ever, we show that it is possible to use full merger histories to emulate SAMs with Machine Learning and vastly outperform the state-of-the-art in the field.

For the first time ever, we show that it is possible to use full merger histories to emulate SAMs with Machine Learning.

Doing fast and precise forward simulations of galaxies will be of fundamental importance to fulfilling the LtU collaboration goals. In this talk I’ll show how we can both get faster, better galaxies, and understand them better with a GNN-based emulator

For the first time ever, we show that it is possible to use full merger histories to emulate SAMs with Machine Learning.

For the first time ever, we show that it is possible to use full merger histories to emulate SAMs with Machine Learning.

The COSMOS field has proved to be one of the cornerstone surveys in extragalactic astronomy. We have built a new photometric redshift catalog COSMOS2020 from the latest ultra-deep imaging from Subaru, VISTA, and Spitzer.