automated photometry pipeline for small to medium-sized observatories
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Updated
Jul 20, 2022 - Python
automated photometry pipeline for small to medium-sized observatories
Gaia science performance simulation toolkit
My astronomy routines
FITS File interaction written in Visual Studio C# .Net. JPFITS is not based on any other implementations and is written from the ground-up, consistent with the FITS standard, designed to interact with fits files as object-oriented structures. See the github Wiki link below for more info.
Modern Fortran implementations of standard models used in fundamental astronomy
The Naval Observatory NOVAS C astrometry library, made better
The ASTROnomical POlarimetry and Photometry pipeline
Handling of Science Instrument Aperture Files (SIAF) for space telescopes
observerly's lightweight, zero-dependency, type safe astrometry library written in TypeScript. This library can be used to ascertain to positions of the Sun, Moon and the planets, as well as ascertain transit times for any astronomical object.
FITS to Azimuth/Elevation using Astrometry.net--calibrate and plate scale images
A image classifier that classifies whether a galaxy is spiral, elliptical, or irregular. Built using Tensorflow v2 and Google's inception v3 model.
Wordpress Astrometry.net Plugin
SONIC is an object-oriented optical navigation (OPNAV) toolkit written in MATLAB.
FITS image interaction, world coordinate solving, point source extraction, photometry, etc. See the github Wiki link below for more info. If you require CCDLAB for UVIT, please ensure you have the UVIT Calibration Database which you can find at the CCDLAB Wiki link below.
Extract star pixel coordinates from a FITS image using JavaScript
observerly's Edge runtime API of stars, galaxies and other astronomical bodies, adhering to the OpenAAS standard.
Analysis pipeline capable of searching for dark compact objects in the Milky Way through astrometric lensing in real or mock Gaia DR4 data.
Resources for XUVI, Summer Project 2022, IIT Kanpur
Dual-axis solar position tracking model prototype with a Cortex M0 MCU (Ardunio MKRZero)
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