Project Description: The selected candidate would work within the Arizona Cosmology Lab (ACL, https://cosmolab.arizona.edu), a research unit of Steward Observatory and the Department of Astronomy. The ACL consists of several faculty, postdoctoral researchers, PhD students, and undergraduate research assistants, who work collaboratively on analyzing data from cosmological surveys and preparing for the next generation experiments, in particular the Roman Space Telescope ( https://roman.gsfc.nasa.gov/ ). This specific project is related to ongoing work in the lab on building a modeling and inference framework to constrain dark matter and dark energy physics scenarios with Roman simulated data. Selected candidates receive training in basics of cosmology, data science, machine learning before running simulated analyses on the UA HPC systems to optimize the Roman cosmology science return.
NASA Relevance: The Roman ST (launch 2026) is the next NASA flagship mission after JWST. Constraining Dark Energy and broader cosmological parameters are one of the core science goals of Roman and an integral part of the NASA Strategic Plan for science.
Work Description: Install cosmological inference and modeling code on UA HPC system. Run simulated likelihood analyses that reflect different science cases for the Roman Space Telescope. Quantify the science return of Roman.
Open or Reserved Project: Open, 2 positions