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talks

21 cm Cosmology test for modified gravity

Published:

In this talk I presented my work on the estimation of the Neutral hydrogen and dark matter bias and the effect of the extended Limber approximation, instead of the usual one. Basically, the main idea is to check whether a common estimator for quantifying deviation of modified gravity from general relativity, holds even under the scale dependent bias. ($bias(k)$)

teaching

The Foundation of Applied Machine Learning (Spring 2019)

Online/in-Person Graduate course, University of California, Riverside, Department of Physics and Astronomy, 2019

This is the webpage for “The foundation of applied machine learning” for Spring 2019 by Prof. Bahram Mobasher. You can find the related materials (homeworks, codes, jupyter notebooks, …) under the link. You can get/clone the repository of this course from my github page as well.

The Foundation of Applied Machine Learning (Summer 2019)

Online/in-Person Graduate course, University of California, Riverside, Department of Physics and Astronomy, 2019

This is the webpage for “The foundation of applied machine learning” for Summer 2019 by Prof. Bahram Mobasher. You can find the related materials (homeworks, codes, jupyter notebooks, …) under the link. You can get/clone the repository of this course from my github page as well.