Combining Spectroscopy and Photometry to Probe Fundamental Physics
by
Small Seminar Room
The next generation of cosmic surveys, including Rubin Observatory, the Dark Energy Spectroscopic Instrument (DESI), and future massively multiplexed spectroscopic surveys, hold the potential to probe the fundamental nature of dark energy, dark matter, neutrinos and inflation. The unprecedented precision afforded by these surveys poses new and interesting challenges, and exploiting these surveys will require exquisite control of observational and theoretical systematic errors. Our best hope of controlling these systematics will come by combining information from spectroscopy, photometry and the cosmic microwave background. In this talk, I will discuss my work developing the methods necessary to exploit these combined analyses. First, I will describe new simulation based modeling techniques that make use of synergies with perturbation theory to overcome long-standing cosmological modeling challenges. I will then describe how machine-learning-accelerated simulations can provide a means to understand and remove observational systematics in cosmic survey data. I will conclude by presenting an analysis that makes use of these techniques to extract constraints on the growth of structure from the combination of DESI and the Dark Energy Survey (DES), pointing out where enhanced synergies between spectroscopic and photometric data will be required to overcome potentially dominant systematics in upcoming analyses.
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