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astronomy

Version 2 of the HI Source Finding Application (SoFiA)

Wiki • User Manual • Releases

OSSR curation process for records to be accepted in the escape2020 community

These Python scripts and batch files stand alone for One Shot Color (OSC) narrowband data captures, but they can also be used in conjunction with my Siril Seestar Narrowband Extraction Scripts to produce a SOO (Sulfur Oxygen Oxygen) master image file from narrowband astronomy data. The Align script is mandatory, but most users will also want the other scripts as well to complete the full SOO workflow. Both the Multiscale, and the SOO APOD scripts call a user adjustable parameter file that can be tweaked from object to object... Also included are two renaming scripts, and a way to archive your completed project with a SHA256 manifest. Clear skies!

These Python scripts and batch files stand alone for One Shot Color (OSC) narrowband data captures, but they can also be used in conjunction with my Siril Seestar Narrowband Extraction Scripts to produce a SHO (Hubble Pallet) master image file from narrowband astronomy data. The Align script is mandatory, but most users will also want the other scripts as well to complete the full SHO workflow. Both the Multiscale, and the SHO APOD scripts call a user adjustable parameter file that can be tweaked from object to object... Also included are two renaming scripts, and a way to archive your completed project with a SHA256 manifest. Clear skies!

These Python scripts and batch files stand alone for One Shot Color (OSC) narrowband data captures, but they can also be used in conjunction with my Siril Seestar Narrowband Extraction Scripts to produce a HOO (Hydrogen Oxygen Oxygen) master image file from narrowband astronomy data. The Align script is mandatory, but most users will also want the other scripts as well to complete the full HOO workflow. The Multiscale script calls a user adjustable parameter file that can be tweaked from object to object... Also included are two renaming scripts, and a way to archive your completed project with a SHA256 manifest. Clear skies!

The Siril image processing software for amateur astronomy

https://johnwebbcole.gitlab.io/pipiece-ui PiPiece combines a powerful Express.js REST API backend with a modern Vue.js touchscreen interface to provide comprehensive control over the Raspberry Pi HQ Camera.

These Python scripts and batch files stand alone for Seestar S50 RGB data captures, but they can also be used in conjunction with my Siril Seestar RGB Scripts to produce a RGB master image file from RGB astronomy data. Both the Multiscale, and the RGB APOD scripts call a user-adjustable parameter file that can be tweaked from object to object... Also included is a way to archive your completed project with a SHA256 manifest. Clear skies!

Mirror of the main Gaia Sky repository hosted on Codeberg: https://codeberg.org/gaiasky/gaiasky

A real time Solar System calendar for 15+ solar system bodies. Just for ease of use

Direction-Time Clustering Algorithms to detect Ultra High Energy Cosmic Ray (UHECR) Photons

Open Source Photometer

A two-channel deconvolution method with Starlet regularization. The code also features a PSF reconstruction algorithm.

Pyxel is a general detector simulation framework (https://esa.gitlab.io/pyxel). An easy-to-use framework that can simulate a variety of imaging detector effects combined on images (e.g. radiation and optical effects, noises) made by CCD or CMOS-based detectors.

Saturnet is a modular, AI-driven astronomy intelligence system that transforms the night sky into real-time, interactive knowledge. It identifies stars, planets, satellites, and space stations while providing live AI narration, predictive sky modeling, anomaly detection, and deep time simulation. Built as an extensible AGPL-3.0+ platform, Saturnet combines visualization, multi-agent AI reasoning, and a plugin ecosystem to help users understand and explore everything happening above Earth. https://roxanneardary.com/saturnet/

SiriLic (Siril's Interactive Companion) is a software that prepares acquisition files (RAW, Offset, Flat and Dark) for processing with the SiriL software.

This is the repository for the ALMA CO-CAVITY project (Espada et al., 2026), which is designed to study the molecular gas properties of void galaxies. The repository contains pipelines to reproduce the methodology used in the ALMA CO-CAVITY series of papers, as well as atlases and supplementary material.

Measure Correlations: package to extract clustering statistics (correlation function) from astrophysical and cosmological samples