Mastering PYTHON Astropy: FITS Data Cube Visualization of SAMI Galaxy Survey | DESI ASTRO
In astronomy, researchers often use data cubes to study celestial objects such as galaxies, stars, and planets. These data cubes contain a vast amount of information, and to make sense of it, astronomers must know how to read and plot the data effectively.
Chapter TimeStamps:
00:00:00 Introduction To SAMI Galaxy Survey
00:02:12 Downloading SAMI Data Cube FITS File
00:04:11 Importing Library & Read FITS Data Cube
00:06:05 FITS Data Cube Information
00:07:38 Extract Data from Primary HDU
00:09:43 Extract Primary HDU Header Information
00:13:26 Visualize Galaxy Image at Particular Wavelength
00:18:56 Visualize Galaxy Spectra at Particular Spaxel
00:25:32 Review The Code
In this video, we'll explore how to read and plot FITS data cubes in astronomy. We'll start by explaining what FITS data cubes are and why they are essential for astronomical research. We'll then walk through the process of reading in a FITS data cube using Python and the Astropy library.
Next, we'll cover how to extract and manipulate specific slices or regions of the cube to focus on areas of interest. We'll also demonstrate how to apply filters and masks to the data to remove unwanted information and highlight specific features.
Finally, we'll delve into plotting the data cube using different visualization techniques such as 2D and 3D plots, contour plots, and heatmaps. We'll discuss the benefits and drawbacks of each method and offer tips on how to choose the best visualization method for a particular dataset.
By the end of this video, viewers will have a solid understanding of how to read and plot FITS data cubes in astronomy. Whether you're an amateur astronomer, a professional researcher, or just a curious learner, this video will provide valuable insights into the fascinating world of astronomical data analysis.
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