Cross-match an observed catalog with one obtained using astroquery
-
Updated
Oct 27, 2021 - Python
Astronomy is an academic discipline and major branch of science that deals with the study of matter, objects, and phenomena in outer space and the Universe. Subfields include astrophysics, planetary science, astrobiology, and astrochemistry.
Cross-match an observed catalog with one obtained using astroquery
Variable Star Signature Classification using Slotted Symbolic Markov Modeling
LIGO's FrameL, a library that comes with many names, build dependency for LALsuite
kind of astronomical name resolver web tool (simbad or ned) but for all existing tesselation sky schemes
UCLA Machine Learning Reading Group - Winter 2018
Ayanova – An astronomy-focused website that explores celestial wonders, validated with Quranic Ayahs, showcasing the glory of the universe through immersive visuals and scientific insights.
A completely deployed MERN webapp which uses APIs from https://api.nasa.gov/ to retrieve data and if already retrieved its taken from mongodb
Stellametrics is a cross-platform PyQt5 application for visualizing, measuring, and comparing astronomical images (FITS, PNG, JPG, etc.). It allows you to measure distances, overlay reference objects, and manage instrument presets.
Explore and visualize over 45,000 meteorite landings from around the world. This project uses Python for preprocessing and Power BI for interactive dashboards to reveal patterns in meteorite mass, fall types, global locations, and time trends.
This project provides tools to visualize the solar system in either heliocentric or geocentric views using a polar coordinate system. Users can plot celestial positions for a specific date or generate an animated GIF showing movements over time.
Study of the ionized gas in the lenticular galaxy NGC 1366 using MUSE data — including emission-line mapping, kinematic analysis, and visualization with Python.
AUTOMATED STREAK DETECTION FOR ASTRONOMICAL IMAGES
Calculates What Photographic Plates a Solar System Object can be found on.
Generate a star atlas (PDF) designed to teach the constellations. Inspired by the Edmund Mag 5 Star Atlas.
This deep learning model can predict a mask of Galaxy. by using this mask Galaxy can be Segmented from image
A Fortran library to calculate the exact positions of the sun and the moon
Analysis software for self-subtracting binarity surveys of unocculted stars.