Jupyter Notebook tutorials using astronomical databases and virtual observatory tools
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Updated
Sep 2, 2024 - Jupyter Notebook
Jupyter Notebook tutorials using astronomical databases and virtual observatory tools
The complete integrated solution for all of your astronomical imaging needs.
Projects for MSc course: Intelligent Systems Programming
A school project using Simbad (http://simbad.sourceforge.net/)
A python package for astronomical calculations
Reads region names from Simbad and downloads stars from caltech.Gator
Gathering spectral data from Simbad for a list of stars from a test file, output can be read to LaTex, Excel, etc. Made for summer 2019 research project, which was heavy on data mining (3000+ needed spectra).
Create a new bright star catalog out of existing catalogs.
Web application to search, process, and visualizes the TESS data of any target cataloged in astronomical databases like SIMBAD.
Add a description, image, and links to the simbad topic page so that developers can more easily learn about it.
To associate your repository with the simbad topic, visit your repo's landing page and select "manage topics."