`2023-04-25 12:00:00``2023-04-25 13:00:00``CCAPP Seminar - Eduardo Rozo (University of Arizona)``Speaker: Eduardo Rozo (University of Arizona) "A Field-Based Inference Approach to Cosmic Shear" All cosmological analyses to date rely on summary statistics: given a map of the survey data (e.g. a galaxy density map), one first computes a set of summary statistics (e.g. the correlation function), and then one proceeds to fit only that particular set of summary statistics. This approach is necessarily wasteful: some information is always lost in going from the survey map to the set of summary statistics under consideration. In this talk, I will describe a new approach referred to as field-based inference, in which one seeks to model not summary statistics, but the survey maps themselves. I will demonstrate field-based inference methods are expected to double the amount of information we can extract from current and future surveys, and discuss some of the challenges that remain to usher in a new era of field-based inference.``PRB 4138``OSU ASC Drupal 8``ascwebservices@osu.edu``America/New_York``public`

`2023-04-25 12:00:00``2023-04-25 13:00:00``CCAPP Seminar - Eduardo Rozo (University of Arizona)``Speaker: Eduardo Rozo (University of Arizona) "A Field-Based Inference Approach to Cosmic Shear" All cosmological analyses to date rely on summary statistics: given a map of the survey data (e.g. a galaxy density map), one first computes a set of summary statistics (e.g. the correlation function), and then one proceeds to fit only that particular set of summary statistics. This approach is necessarily wasteful: some information is always lost in going from the survey map to the set of summary statistics under consideration. In this talk, I will describe a new approach referred to as field-based inference, in which one seeks to model not summary statistics, but the survey maps themselves. I will demonstrate field-based inference methods are expected to double the amount of information we can extract from current and future surveys, and discuss some of the challenges that remain to usher in a new era of field-based inference.``PRB 4138``Center for Cosmology and AstroParticle Physics (CCAPP)``ccapp@osu.edu``America/New_York``public`Speaker: **Eduardo Rozo (University of Arizona)**

**"A Field-Based Inference Approach to Cosmic Shear"**

All cosmological analyses to date rely on summary statistics: given a map of the survey data (e.g. a galaxy density map), one first computes a set of summary statistics (e.g. the correlation function), and then one proceeds to fit only that particular set of summary statistics. This approach is necessarily wasteful: some information is always lost in going from the survey map to the set of summary statistics under consideration. In this talk, I will describe a new approach referred to as field-based inference, in which one seeks to model not summary statistics, but the survey maps themselves. I will demonstrate field-based inference methods are expected to double the amount of information we can extract from current and future surveys, and discuss some of the challenges that remain to usher in a new era of field-based inference.