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https://github.com/mohamedelashri/hubble

Estimating the Age of universe using galaxies distance and velocity data
https://github.com/mohamedelashri/hubble

astrophysics cosmology physics

Last synced: about 1 month ago
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Estimating the Age of universe using galaxies distance and velocity data

Host: GitHub
URL: https://github.com/mohamedelashri/hubble
Owner: MohamedElashri
Created: 2021-02-26T19:17:11.000Z (almost 4 years ago)
Default Branch: main
Last Pushed: 2021-12-08T10:37:25.000Z (about 3 years ago)
Last Synced: 2023-03-03T23:28:33.771Z (almost 2 years ago)
Topics: astrophysics, cosmology, physics
Language: Jupyter Notebook
Homepage:
Size: 1.34 MB
Stars: 1
Watchers: 1
Forks: 2
Open Issues: 1
Metadata Files:
- Readme: README.md

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README

# Hubble Constant
Estimating the Age of universe using galaxies distance and velocity data and calculating the Hubble constant.

In this project I am trying to select my galaxies data and then try to fit the linear model from Hubble relation to get and estimation for the age of universe.

This analysis is an extension of the [zonination](https://github.com/zonination/galaxies) analysis which was carried in **R** and I applied their code implementation for my data selection. This is avialable inside [R Analysis](https://github.com/MohamedElashri/Hubble/tree/main/R%20Analysis) Folder

My main implementation is in **python** and I relied about estimating Hubble constant first then relied on the fact the age of universe is reciprocal of Hubble constant.

Main plot is

![Hubble constant](https://github.com/MohamedElashri/Hubble/blob/main/Plots/Plot_2.png)

**Hint**: Age of the universe is not 1/H_0 but there should be some correction factor that account for relative abundance of dark energy/(dark) matter/radiation and it is close of 1 which why we use this assumption.

The python implementation is available inside the Jupyter notebook [here](https://github.com/MohamedElashri/Hubble/blob/main/Age_of_the_Universie_.ipynb)