PART-1: Masking Pixels in FITS Image Astropy Python | Step-by-Step Tutorial | DESI ASTRO

What are FITS Images?
Flexible Image Transport System (FITS) is the most commonly used digital file format in astronomy. It is designed to store, transmit, and manipulate scientific data, including images and tables. FITS files are versatile because they can contain multiple images or extensions, along with extensive metadata that describes the content and structure of the data. This makes FITS particularly valuable for astronomers who need a robust way to handle complex datasets.
What is Astropy?
Astropy is a comprehensive, community-driven Python library designed to support astronomy research. It includes tools for reading and writing FITS files, handling units and coordinates, and performing various common tasks in astronomical data analysis. Astropy is built to be flexible and extensible, making it a powerful tool for both novice and experienced astronomers.
Purpose of the Video
The purpose of the video is to guide viewers through the process of masking pixels in FITS images using the Astropy library in Python. Masking is a crucial technique in image processing, allowing users to exclude or highlight specific regions of an image based on certain criteria. This can be useful for various applications, such as removing artifacts, focusing on regions of interest, or preparing data for further analysis.
Practical Applications of Masking
Removing Artifacts
Artifacts in astronomical images, such as cosmic rays or detector defects, can interfere with data analysis. Masking these unwanted features allows for cleaner images and more accurate results.
Highlighting Regions of Interest
In many cases, only specific regions of an image are of scientific interest. Masking helps focus on these areas by excluding irrelevant parts of the image.
Preparing Data for Further Analysis
Masked images are often used as inputs for more advanced processing steps, such as photometry, spectroscopy, or image stacking.
Conclusion
The video titled "Masking Pixels in FITS Images Using Astropy Python | Step-by-Step Tutorial" is designed to be a comprehensive guide for anyone looking to learn how to mask pixels in FITS images using Python. By following the steps outlined in the video, viewers will gain a solid understanding of how to use Astropy for this task, enhancing their skills in astronomical data analysis and image processing.
By the end of the video, viewers should feel confident in their ability to load, visualize, mask, and save FITS images using Astropy, opening up new possibilities for their research and data analysis projects.
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[@hasildixit1729]

Hello, i have a doubt. If i have 3-4 contours for a certain level, and i have to choose pixels from only one of them. how can i do that?

[@Astro_Jyoti]

Will you elaborate your need?

[@prasantanayak4602]

How do you save the masked image in the fits file format?

[@Astro_Jyoti]

Watch this video or use command "fits . writeto() " kzbin.info/www/bejne/mn6yZ3qdoN6if8U