Astropy Python Full course On Mastering Astronomical Data analysis & Visualization | DESI ASTRO

Astropy is a powerful and widely-used library in Python, tailored specifically for astronomy and astrophysics. It provides a robust framework and tools for handling and analyzing astronomical data, making it an essential resource for astronomers and astrophysicists. Here is a more detailed look at Astropy and its applications:

Chapters Timestamp: All are independents
00:00:00 Introduction to Astropy
00:02:18 Astropy Library Installation
00:04:17 Read & Visualizing JWST FITS Image File
00:35:50 Read & Visualizing FITS Image Colormaps
00:44:14 Read & Visualizing SDSS Telescope FITS BOSS Spectra
01:09:00 Read & Visualizing SDSS Telescope FITS Image
01:32:38 Read & Visualizing SPITZER Telescope Optical FITS Image
01:52:45 Read & Visualizing ASTROSAT Telescope FUV FITS Image
02:24:08 Read & Visualizing HST Telescope FITS Image
02:48:25 Read & Visualizing HST Telescope FITS Spectra
03:07:27 Create RGB Colorful Image with FITS File
03:22:17 Read & Visualize FITS File Data Cube of SDSS-MANGA
03:46:30 Extracting FITS Data Cube Spectra & Import Into Files
04:12:56 2D Cutout of FITS image
04:35:55 Save Cutout Image Into FITS Image File
04:46:55 Constructing White Light Image from Data Cube
04:54:50 Contours Construction on FITS Image
05:04:42 Kernel Convolution With FITS image
05:22:36 Creating FITS 2D image with Header Information
05:36:02 Creating Multi-Extension FITS File with Image. Spectra & Data Cube
06:12:11 Creating FITS Data Table & Saving Into File
06:21:03 Creating FITS Spectra& Data table with Header Information
06:42:21 Astropy 1D Modeling: Linear Modeling
06:56:30 Astropy 1D Modeling: Gaussian Modeling
07:07:29 Zoom Plot of FITS Image File
07:23:13 Convert FITS Image Pixel(x,y) Into RA, DEC & Vice-Versa
07:29:51 Astropy 1D Convolution
07:42:26 Create Sub-Cube Fits Data Cube and Save Into FITS Data Cube
07:52:28 Astropy 1D Sigma Clipping

Key Components of Astropy
Core Package:

Units and Quantities: Handles physical units and quantities, allowing for seamless unit conversions and ensuring consistency in calculations.
Constants: Provides access to fundamental physical constants.
Time: Deals with time and date calculations, and conversions between different time systems (
Coordinates: Facilitates celestial coordinate transformations and representations (e.g., equatorial, galactic coordinates).
Data Handling:

Table: Provides flexible and powerful tools for handling tabular data, similar to pandas DataFrames but with features tailored for astronomy.
FITS (Flexible Image Transport System): Tools for reading, writing, and manipulating FITS files, the standard data format in astronomy.

Modeling: Tools for creating mathematical models and fitting them to data, including non-linear least squares fitting.

Visualization:

Plotting: Integrates with Matplotlib for creating visualizations, including specific tools for plotting astronomical data.
WCS (World Coordinate System):

Handles the conversion between pixel coordinates in images and real-world celestial coordinates.
Applications of Astropy
Data Analysis:
Astronomers use Astropy to analyze observational data, perform statistical analyses, and visualize results.
The Table and FITS modules are handy for manipulating and examining large datasets.
Coordinate Transformations:

Converting between different celestial coordinate systems is a common task in astronomy, and Astropy simplifies this process with its Coordinates module.
Cosmological Calculations:
Researchers use the Cosmology module to study the universe's expansion, calculate distances to celestial objects, and model cosmological phenomena.
Simulation and Modeling:
Astropy's modeling tools allow for creating and fitting complex models to observational data, which is crucial for understanding underlying astrophysical processes.
Time Series Analysis:
The Time module handles and converts between various time formats, essential for time-series analysis of variable stars, exoplanet transits, and other phenomena.
Data Integration and Interoperability:
#Python#PythonProgramming#PythonCourse#LearnPython#PythonTutorial#PythonDeveloper
#Programming #AstroPython #Astronomy #PythonAstronomy #AstroCoding #AstroData #AstroScience #AstroResearch #PythonInAstronomy #Astrophysics #DataScience #SpaceScience #AstroTools #AstroAnalysis #ScienceCoding #AstronomyData #AstroSoftware #AstroDev #PythonForScience #PythonResearch #SpaceTech #PythonForScience #PythonResearch #SpaceTech #FITSFiles #PythonFITS #AstroFITS #AstroDataAnalysis #AstroImaging #AstroDataProcessing
Storing and processing images captured by telescopes, such as sky surveys, galaxy images, and star fields.Spectroscopy:
Handling spectral data from instruments that analyze the light from astronomical objects.
Time-series Data:
Managing data that varies over time, such as light curves of variable stars.
Simulation Data:
Storing the results of simulations in astrophysics and cosmology.

[brutespartan]

Thank you very much for creating this course

[aryawartphysics]

Thanks a lot sir. Hope this will encourage homegrown geniuses also who can't make it to good institutions for PhD and research project. You very kind generous 🧡🧡🙏

[alihadi-vvyb]

Thank you for this tutorial. it is very useful. But when you don't give us the links to download FITS files you used in this tutorial, what is the point of this tutorial. you should put the link of FITS files in description. I have no how I can download the FITS files you used in SPITZER and ASTROSAT sections. could you please share these links ? PLEASE.

[alihadi-vvyb]

Could you please provide the link that you downloaded fits file from SPITZER telescope ?