Doing Astrophysics using Python

Time-stamp: <2024/05/25 08:07:23 (UT+8) daisuke>

This is a repository for the course "Doing Astrophysics using Python" (course ID: PH3066) offered at National Central University in Taiwan from February 2024 to June 2024.

Online resources

Course web page

• https://s3b.astro.ncu.edu.tw/appy_202402/

Course material can be downloaded from above web page.

GitHub repository

• https://github.com/kinoshitadaisuke/ncu_doing_astrophysics_using_python_202402

A set of sample Python scripts for this course can be downloaded from above repository. To download all the sample Python scripts and Jupyter Notebook files for this course, try following command.

git clone https://github.com/kinoshitadaisuke/ncu_doing_astrophysics_using_python_202402.git

Schedule

Date	Time	Session Number	Session Name
20/Feb/2024	18:00-18:50	00	Executing a Python script
20/Feb/2024	19:00-20:50	01	Basic Python programming
27/Feb/2024	18:00-20:50	02	Importing and using Python modules
05/Mar/2024	18:00-20:50	03	Using Numpy for calculations
12/Mar/2024	18:00-20:50	04	Visualisation of data using Matplotlib
19/Mar/2024	18:00-20:50	05	Scientific calculations and analyses using SciPy
26/Mar/2024	18:00-20:50	06	Building and querying relational database using Python
02/Apr/2024	18:00-20:50	07	Astronomical calculations using Astropy
09/Apr/2024	18:00-20:50	08	Blackbody radiation
16/Apr/2024	18:00-20:50	09	Distribution of asteroids, stars, and galaxies
23/Apr/2024	18:00-20:50	10	Hubble diagram and expansion of the Universe
30/Apr/2024	18:00-20:50	11	Estimating ages of star clusters
07/May/2024	18:00-20:50	12	Periodicity analysis of astronomical time-series data
14/May/2024	18:00-20:50	13	Source extraction and image alignment of astronomical images
21/May/2024	18:00-20:50	14	Planetary motion and orbital integration
28/May/2024	18:00-20:50	15	Classification of astronomical objects using machine learning
04/Jun/2024	18:00-20:50	16	TBA
11/Jun/2024	18:00-20:50	17	TBA
18/Jun/2024	18:00-20:50	18	TBA

Jupyter Notebook files

• Session 00
  • https://colab.research.google.com/drive/1MgWdLvLTigcYFEHJ4j0j4GCyrO72QI0K?usp=sharing
• Session 01
  • https://colab.research.google.com/drive/1dhpso0_lUENF4SJK6VLaZ63OLPM7vzeC?usp=sharing
• Session 02
  • https://colab.research.google.com/drive/1Wdo8D4hE87AcJ8xPqRrp6odrtkX0uiot?usp=sharing
• Session 03
  • https://colab.research.google.com/drive/1CbsWfSr_uML9eI24tFpf0mk7htmLJCt7?usp=sharing
• Session 04
  • https://colab.research.google.com/drive/1XMaGBfw1smOni0VMoZVbPYKAY59QRyFX?usp=sharing
• Session 05
  • https://colab.research.google.com/drive/1HCSdCoMRB1GhmgqfqMYwXq6z6YeFbPPp?usp=sharing
• Session 06
  • https://colab.research.google.com/drive/12rB83q8fUN_L4p1zEAYMTSX9ZwPh4Yno?usp=sharing
• Session 07
  • https://colab.research.google.com/drive/1l9Qh1LTMkiEgu2oepLI5AaTGY1DT298t?usp=sharing
• Session 08
  • https://colab.research.google.com/drive/11Fy7kZe4Wv5sWPC8ormWGUWvvGGSuJrn?usp=sharing
• Session 09
  • https://colab.research.google.com/drive/17A2dCAG17V5gOXNEkIMUgDqmuBIfPboj?usp=sharing
• Session 10
  • https://colab.research.google.com/drive/1ShQjrPur1Rjy0BzzY22i0I96WX2LjzQL?usp=sharing
• Session 11
  • https://colab.research.google.com/drive/1ziQr4JTFTiuwpPbw3MdvS3CwiEVu-SHW?usp=sharing
• Session 12
  • https://colab.research.google.com/drive/1MBZ6OWUpN3mo2vbcSEyNi_FGGxIOT43V?usp=sharing
• Session 13
  • https://colab.research.google.com/drive/1dg33tmSiuiai3CUyThprOMlMjaB_WPSk?usp=sharing
• Session 14
  • https://colab.research.google.com/drive/1d1BX8RO4FJ9NWhzJW4pkG2XtEGblyoPT?usp=sharing
• Session 15
  • https://colab.research.google.com/drive/1QCt-xHDfnsTOO4xvkCJ0QJkypNSzhZir?usp=sharing

Video files

• https://s3b.astro.ncu.edu.tw/appy_202402/video/solsys3d_202401.mp4