Track interstellar comet 3I/ATLAS through TESS observations with specialized data reduction pipeline
Track interstellar comet 3I/ATLAS through TESS observations with specialized data reduction pipelines that separate comet signals from stellar background contamination.
https://github.com/jorgemarpa/tess-3iatlas
#InterstellarComet #TESSMission #AstronomyData
Unlock the southern sky's secrets with splusdata - a Python toolkit that transforms massive S-PLUS survey data into ML-ready datasets for astronomical discovery
https://github.com/Schwarzam/splusdata
#SPLUS #AstronomyData #MachineLearning
The Unified Cluster Catalogue (UCC) brings order to the cosmos by consolidating stellar cluster data
The Unified Cluster Catalogue (UCC) brings order to the cosmos by consolidating stellar cluster data from multiple surveys into one comprehensive, searchable database.
https://github.com/ucc23/ucc
#StellarClusters #AstronomyData #OpenSource
TarXiv: The unified archive that transforms scattered transient discoveries from ZTF, ATLAS, and ASAS-SN into a searchable treasure trove of stellar explosions and cosmic catastrophes.
https://github.com/tarxiv/tarxiv
#TransientAstronomy #OpenScience #AstronomyData
A comprehensive database mapping dwarf galaxies and star clusters within 10 Mpc of Earth - your computational gateway to exploring our cosmic neighborhood's smallest stellar systems.
https://github.com/apace7/local_volume_database
#LocalVolume #DwarfGalaxies #AstronomyData
The metadata backbone powering the Open Exoplanet Catalogue - organizing the universe's most complete database of alien worlds for seamless astronomical research and discovery.
https://github.com/OpenExoplanetCatalogue/oec_meta
#Exoplanets #AstronomyData #OpenScience
Your gateway to the universe's data treasures - curated Jupyter notebooks from MAST that transform raw space telescope observations into discoverable insights across JWST, TESS, and beyond.
🔗 https://github.com/spacetelescope/mast_notebooks
#SpaceTelescopes #AstronomyData #JupyterNotebooks
Comparison of old and new models of near-Earth asteroid populations. The new model, based on NEOWISE infrared data, shows significantly fewer asteroids larger than 100 meters compared to the old model based on visible light surveys. Red dots represent asteroids, green dots represent planets. The Sun is in the center. The image illustrates that infrared observations provide a more accurate count because albedo doesn't affect the measurements.
Astronomy Picture from 01/10/2011
Asteroids Near Earth
Source: https://apod.nasa.gov/apod/ap111001.html
#NearEarthAsteroids #NEOWISE #AsteroidHunt #InfraredAstronomy #SpaceScience #SolarSystem #AsteroidCount #WISEmission #AstronomyData #NewDiscoveries
Huge Release of Type 1a Supernovae Data #Science #Space #Astronomy #Supernovae #AstronomyData #Astrophysics
New year starts with a new release. astroquery v0.4.8 is out, with lots of fixes and enhancements. And big thanks to all who contributed code in the past year.
Get yours with `pip install -U astroquery` or from the conda-forge channel.
#astronomydata #astroquery #ivoa
