2022 Abstract from Isabella and Maryanne

Multi-wavelength simulations of galaxy clusters

Students: Isabella Vesely and Maryanne Xu

Scientist Mentors: Brian Nord, Aleksandra Ciprijanovic Deep Skies, Computing

Galaxy clusters are collections of galaxies, bound together by gravity. They are primarily characterized by their mass, redshift, and brightness across multiple wavelength bands – millimeter, optical, and X-ray. Each waveband provides a different view of the mass because the physics that generates these photons is different. In our work, we are generating hyperfast, analytic model-based simulations of galaxy clusters in these wavelengths. We rely on Anbo Chen’s thesis, “The Projected Halo Model,” for these models.Here,. Anbo Chen models galaxy clusters’ X-ray and SZ profiles with equations 2.15 and 2.16 respectively. We visualize 1D profiles and 2D submaps for each of these wavebands as part of our diagnostics. These multi-band simulations are incorporated into the FastClusterSim pipeline being developed by the Deep Skies Clusters team. We use the simulations to train deep neural networks for inference of galaxy cluster properties. We incorporate auto-differentiation into our deep neural networks to demonstrate improvements in computational efficiency