Astropy Python for Astronomy Handling FITS files | RGB IMAGE FROM FITS FILE PYTHON ASTROPY| скачать в хорошем качестве

Astropy Python for Astronomy Handling FITS files | RGB IMAGE FROM FITS FILE PYTHON ASTROPY|

In this tutorial, you'll learn how to create stunning RGB astronomical images using Python and FITS files. The process begins by loading individual FITS files, which store data for different filters (such as red, green, and blue channels), into Python. Using the popular libraries astropy, numpy, and matplotlib, we demonstrate how to: Read FITS files: We'll load astronomical data from the FITS format using astropy.io.fits. Normalize and scale the images: For each filter, we'll adjust the brightness and contrast using logarithmic scaling or stretching methods to highlight key details. Assign colors to each image: The separate grayscale images, corresponding to red, green, and blue wavelengths, are then combined by assigning each one to its respective color channel. Combine the channels: We blend the individual channels into a single RGB image to reveal celestial objects in their full colorful glory. Final adjustments and visualization: Apply color balance, tweak brightness, and enhance the contrast to improve the final image, which is then visualized and saved. Whether you're processing data from the Hubble Space Telescope, ground-based observatories, or your own observations, this tutorial will help you transform scientific data into beautiful, detailed images. Chapter TimeStamps -------------------------------------- 00:0:00 Introduction 00:01:20 Importing Necessary Library 00:02:16 Reading FITS Image File 00:07:32 Create RGB Colored Image #astro ##dataanalysis #fits #observation #python #pythonforbeginners #pythonprogramming #python #astrophotography #astrophysics