This project estimates key cosmological parameters like the Hubble constant (H₀) and matter density (Ωₘ) using Type Ia supernova data. It involves distance modulus fitting, cosmological model calculations, and analysis of low-z and high-z supernova subsets.
This program classifies the universe as flat, open, or closed based on the matter density parameter (Ωₘ) and dark energy density parameter (ΩΛ). The user enters the Hubble constant, Ωₘ, and ΩΛ, and the program uses these to determine the universe’s geometry.
Independent research projects in astrophysics and cosmology using real data and computational analysis.
Binary console application to calculate the age of the universe based on observations,
this repository is for the cosmology course in the Winter of 1401. you can find out your computational homework here.
Presentation of the standard siren measurement of Hubble constant at Journal Club talk in Jan. 09 2018.
A python package to calibrate levitt law
Re-reduced classification spectra from the ePESSTO+ survey, used in the paper: "No rungs attached: A distance-ladder free determination of the Hubble constant through type II supernova spectral modelling." by C. Vogl et al. (2024).
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