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Exploring the Universe with Stage IV Dark Energy Experiments: DESI
Speaker
Sadi Ramírez Solano Universidad Nacional Autónoma de México (Mexico City, Mexico)
Abstract
Observational cosmology is undergoing a period of large data analysis. New experiments, such as the Dark Energy Spectroscopic Instrument (DESI), promise greater precision and a significantly larger amount of observed data, with around 35 million galaxies and quasars. This allows us to map the universe in a way that has never been done before. However, it requires the optimization of the techniques and methods for extracting cosmological information to achieve the sub-percent precision expected by the density and volume of the data. In the context of stage IV surveys, there is currently an extensive effort to investigate the performance of different methodologies for extracting cosmological information. In this talk I will present three approaches for extracting cosmological information from redshift space distortions: the standard compression method used in stage III experiments, the “full modeling” that recently became popular, which directly constrains the cosmological parameters, and finally, “shape fit”, another relatively new compressed method that aims to maximize cosmological information extraction while keeping the advantage of “compression methods”. We implemented and compared different methods in configuration space using as a model the effective field theory version of the Gaussian Streaming Model (GSM-EFT). Additionally, I will also present some developments using tools like neural networks to help us perform the model computation more efficiently.
Date and Time
May 18 2023 4pm KST (= 7am UTC) Zoom link (active once the seminar starts)