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In this repo you will find the python code to fit the cosmological model against various data sets.

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sleonardokap/cosmological_data

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[1] For OHD data analysis with the LamdaCDM mdoel watch my tutorial here: https://youtu.be/0GDzoKncNO4

[2] For the analysis of Supernova Pantheon+ data sets, watch my tutorial here: https://youtu.be/u88Goguzm9M

⚠️Note: While using the covariance matrix (after downloading from panthon+ website), you will probably get an error due to its shape. In order to resolve that you must follow the steps before reshaping. Open the file.cov in the vs code or any text editior, remove the first line written (1701) and save it. Now you can use the file for your calculation.

[3] For BAO analysis see the video for complete understanding: https://youtu.be/iRYb6wQVaO8

If you are using any of the code: Kindly footnote the github link and cite the papers:

[a] @article{Hussain:2024jdt, author = "Hussain, Saddam", title = "{Non-adiabatic particle production scenario in algebraically coupled quintessence field with dark matter fluid}", eprint = "2403.10215", archivePrefix = "arXiv", primaryClass = "gr-qc", month = "3", year = "2024" }

[b] @article{Hussain:2024qrd, author = "Hussain, Saddam and Nelleri, Sarath and Bhattacharya, Kaushik", title = "{Comparative Analysis of $k$-essence and Quintessence Scalar Field Models: A Data Analysis Approach}", eprint = "2406.07179", archivePrefix = "arXiv", primaryClass = "astro-ph.CO", month = "6", year = "2024" }

To know my work, check out my profile: https://inspirehep.net/authors/1852409

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In this repo you will find the python code to fit the cosmological model against various data sets.

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