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This repository hosts materials and code from the 'School on Statistical Techniques in Astrophysics & Cosmology Using Python (STACUP)' (Oct 16-20, 2023) at CUTN- BDU, Tiruchirapalli.  These resources are designed to support the attendees in exploring statistical techniques & their applications in astrophysics & cosmology using Python programming.

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darshanbeniwal/Astrophy_Py_STACUP_BDU_CUTN_IUCAA_2023

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Organized by CUTN & Bharathidasan University, Tiruchirappalli, BDU, Tiruchirappalli

Funded by Inter-University Centre for Astronomy and Astrophysics (IUCAA)

I was among the invited speakers, along with Prof. H. S. Mani, Prof. T. R. Seshadri, Prof. V Madhurima, and Dr. Sampurn Anand and in this repository, I have included all the files, including the data file and Python notebook, that were covered in four lecture sessions and five hands-on sessions by me.

Day-1. October 16th 2023; 🔗

  • Lecture+Hands-on Session-1
    • Introduction to Python-I

Day-2. October 17th 2023; 🔗

  • Lecture+Hands-on Session-2
    • Introduction to Python-II

Day-3. October 18th 2023; 🔗

  • Lecture+Hands-on Session-3
    • Introuction of Maximum Likelihood Method & Chi-Square
    • Parameter Estimation of a Straight Line Function using Chi-Square Minimization

Day-4. October 19th 2023; 🔗

  • Lecture+Hands-on Session-4

    • Introuction of Bayesian Statistics
    • Parameter Estimation of a Straight Line Function using Bayesian Statistics-I
  • Hands-on Session-5

    • Parameter Estimation of a Straight Line Function using Bayesian Statistics-II

Day-5. October 20th 2023; 🔗

  • Project Discussion and Presentation

References for Further Reading

  • Basics of Statistics

    • Introduction To Error Analysis by J. R. Taylor 🔗
    • Data analysis: a Bayesian tutorial by Devinderjit Sivia and John Skilling 🔗
    • Data Reduction and Error Analysis for the Physical Sciences by P. R. Bevington and D. K. Robinson 🔗
  • Statistical Cosmology

    • Statistical methods in cosmology by L. Verde 🔗
    • Statistical methods for cosmological parameter selection and estimation by A. R. Liddle 🔗
    • Bayesian Methods in Cosmology by R. Trotta 🔗

Contact Email: [email protected]

Copyright

© Darshan Kumar Beniwal, University of Delhi, 2023, Presented at STACUP-2023, Bharathidasan University, Tiruchirappalli.

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This repository hosts materials and code from the 'School on Statistical Techniques in Astrophysics & Cosmology Using Python (STACUP)' (Oct 16-20, 2023) at CUTN- BDU, Tiruchirapalli.  These resources are designed to support the attendees in exploring statistical techniques & their applications in astrophysics & cosmology using Python programming.

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