Robust measurements of the large-scale clustering of galaxies
Robust measurements of the large-scale clustering of galaxies
عنوان:
Title: Robust measurements of the large-scale clustering of galaxies and quasars
Speaker: Mehdi Rezaie (Ohio University)
Abstract: Wide-area galaxy surveys, such as the Rubin Observatory and Dark Energy Spectroscopic Instrument (DESI), along with high-resolution Cosmic Microwave Background (CMB) experiments, such as the Simons Observatory and CMB-S4, will provide a massive amount of data to unveil the initial conditions of the Universe. However, observational systematics pose a multifaceted challenge as galaxy surveys aim at probing sparser and fainter galaxies out to higher redshifts. Standard treatment methods are limited by their assumptions of linearity and improving them is a crucial step for the full exploitation of galaxy clustering in the era of DESI. In this talk, I will begin with a brief introduction to modern cosmology, and present a novel cleaning approach for galaxy clustering measurements. I will give a summary of our paper "Improving galaxy clustering measurements with deep learning: analysis of the DECaLS DR7 data" MNRAS (2020), where the method has been developed, validated, and applied to real data from the DESI Legacy Imaging Surveys Data Release 7 and simulations. Finally, I will elaborate on how we have enhanced the method to unlock a robust measurement of the local-type primordial non-Gaussianity with the final sample of spectroscopic quasars from Sloan's eBOSS.
زمان : دوشنبه ۲۰ اردیبهشت ۱۴۰۰
ساعت ۱۲
- نرم افزار Adobe connect
- نشانی vc.basu.ac.ir/res_bsci
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