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DGCE SIG Seminar

Diffuse Gas in Cosmic Ecosystems Science Interest Group

DATE

March 27, 2025 

TIME

4:00 pm EST

COMMUNITY

DGCE SIG

TYPE

Seminar

Harnessing CAMELS : A Strategic Approach to Precision Cosmology and Galaxy Astrophysics

Daisuke Nagai, Yale University

As we enter a golden age of data-driven cosmology, multi-wavelength surveys are set to revolutionize our understanding of the universe. Ongoing and upcoming observations — ranging from Sunyaev-Zel'dovich (SZ) effects to X-ray emissions, fast radio bursts (FRBs), and absorption line studies — promise unprecedented insights into the astrophysical processes driving galaxy formation and evolution, the impact of baryonic physics on cosmological observations, and the fundamental parameters of our universe. In this talk, I will explore key insights derived from CAMELS (Cosmology and Astrophysics with MachineE Learning Simulations) simulations and outline a strategic roadmap for optimizing scientific returns from these surveys. By integrating simulation data with advanced machine learning techniques, we can enhance our interpretations and guide future research directions in precision cosmology and galaxy astrophysics.

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An illustration of Sun-like star HD 181327 and its surrounding debris disk. The star is at top right. It is surrounded by a far larger debris disk that forms an incomplete ellpitical path and is cut off at right. There’s a huge cavity between the star and the disk. The debris disk is shown in shades of light gray. Toward the top and left, there are finer, more discrete points in a range of sizes. The disk appears hazier and smokier at the bottom. The star is bright white at center, with a hazy blue region around it. The background of space is black. The label Artist's Concept appears at lower left.