A collection of research notebooks in *cosmology*.

Collection of Jupyter notebooks demonstrating statistical methods for cosmological data analysis, including Bayesian inference & basic frequentist tools

This repository contains the JUPYTER notebooks that accompany the textbook Dark Matter by David J. E. Marsh, David Ellis, and Viraf M. Mehta.

exp(2^n/4) determines the topological Axis linking micro and macro physics ratios in a Jupyter Notebook entitled Jupyter-Notebook Practice Physical Constants Ratios. It uses the reduced Compton Electron wavelength as unit of length.

A beginner's attempt to visualization astronomical data

This is a short astro-physical program showing how to compute the adhesion model, describing the large-scale structure of the Universe, using regular triangulations in CGAL (www.cgal.org), as well as using the Convex Hull algorithm present in Python's Scipy.

Lampiran digital (kode sumber Python dan hasil analisis) Skripsi Sarjana Fisika FMIPA UGM berjudul "Studi Kurva Rotasi Galaksi Bima Sakti dan M31 dengan Model ΛCDM dan Teori MOND" oleh Muhammad Alvin Nuha.

Python notebook which integrates the Boltzmann Equation for a simple freeze-out model, and finds the Dark Matter abundance.

Mathematica notebooks for calculate the non-local distortion function and solve the modified field equations in Deser-Woodard gravity.

Mathematical and Physical Constants in Cosmology and micro physics (updated SI CIPM CODATA 2019)

A collection of introductory cosmology notebooks. Topics include cosmological distances, CMB, inflation, DM power spectrum. In partial fulfillment of the "CosmicStructures" class at UniGenova.

Mathematical and Physical Constants ratios in Cosmology and micro physics

This repository contains the Wolfram Mathematica notebooks I developed during the research for my Diploma Thesis at the School of Physics, Faculty of Sciences, A.U.Th. The Diploma Thesis is a part of a broader research, which can be found at arXiv 2105.11935. My Diploma Thesis is provided as a supplement attached to this repository.

It contains a set of CASTRO configuration files for simulating the cold collapse of spherically symmetric and homogenous clouds of matter. The initial conditions we set are relevant to the Black Hole Universe model. We have also included ipython notebooks to visualize the datasets using yt.