#gaia-dr3 — Public Fediverse posts

Yet another video of the asteroid belt using Gaia DR3 data with the new shading.

#GaiaSky #Gaia #GaiaDR3 #Space #Asteroids #AsteroidBelt #Astronomy

Weekly Update from the Open Journal of Astrophysics – 18/10/2025

It’s time once again for the usual Saturday update of the week’s new papers at the Open Journal of Astrophysics. Since the last update we have published six  more papers, which brings the number in Volume 8 (2025) up to 156, and the total so far published by OJAp up to 391.

I’d like to encourage people to follow our feed on the Fediverse via Mastodon (where I announce papers as they are published, including the all-important DOI) so this week I’ll include links to each announcement there.

The first paper to report is “Shot noise in clustering power spectra” by Nicolas Tessore (University College London, UK) and Alex Hall (University of Edinburgh, UK). This was published in the folder Cosmology and NonGalactic Astrophysics on Tuesday October 14th 2025. This presents a discussion of the effects of ‘shot noise’, an additive contribution due to degenerate pairs of points, in angular galaxy clustering power spectra. Here is a screen grab of the overlay:

You can find the officially accepted version of the paper here. The Mastodon announcement is here:

Open Journal of Astrophysics

@[email protected]

New Publication at the Open Journal of Astrophysics: "Shot noise in clustering power spectra" by Nicolas Tessore (University College London, UK) and Alex Hall (University of Edinburgh, UK)

https://doi.org/10.33232/001c.145919

Next one up is “The Giant Arc – Filament or Figment?” by Till Sawala and Meri Teeriaho (University of Helsinki, Finland). This paper discusses the abundance of large arc-like structures formed in the standard cosmological model, with reference to the “Giant Arc” identified in MgII absorption systems. It was published on Wednesday October 15th in the folder Cosmology and NonGalactic Astrophysics. The overlay is here:

The officially accepted version of this paper can be found on the arXiv here and the Mastodon announcement is here:

Open Journal of Astrophysics

@[email protected]

New Publication at the Open Journal of Astrophysics: "The Giant Arc – Filament or Figment?" by Till Sawala and Meri Teeriaho (University of Helsinki, Finland)

https://doi.org/10.33232/001c.145931

The third paper this week,  published on Monday 6th October, is “Detecting wide binaries using machine learning algorithms” by Amoy Ashesh, Harsimran Kaur and Sandeep Aashish (Indian Institute of Technology, Patna, India). This was published on Friday 17th October (yesterday) in the folder Astrophysics of Galaxies. It presents a method for detecting wide binary systems in Gaia data using machine learning algorithms.

The overlay is here:

You can find the officially accepted version of this paper on arXiv here. The announcement on Mastodon is here:

Open Journal of Astrophysics

@[email protected]

New Publication at the Open Journal of Astrophysics: "Detecting wide binaries using machine learning algorithms" by Amoy Ashesh, Harsimran Kaur and Sandeep Aashish (Indian Institute of Technology, Patna, India)

https://doi.org/10.33232/001c.146027

The last one this week is “Learned harmonic mean estimation of the Bayesian evidence with normalizing flows” by Alicja Polanska & Matthew A. Price (University College London, UK), Davide Piras (Université de Genève, CH), Alessio Spurio Mancini (Royal Holloway, London, UK) and Jason D. McEwen (University College London). This one was also published on Friday 17th October, but in the folder Instrumentation and Methods for Astrophysics; it presents a new method for estimating Bayesian evidence for use in model comparison, illustrated with a cosmological example.

The corresponding overlay is here:

You can find the officially accepted version on arXiv here. The Mastodon announcement is here:

Open Journal of Astrophysics

@[email protected]

New Publication at the Open Journal of Astrophysics: "Learned harmonic mean estimation of the Bayesian evidence with normalizing flows" by Alicja Polanska & Matthew A. Price (University College London, UK), Davide Piras (Université de Genève, CH), Alessio Spurio Mancini (Royal Holloway, London, UK) and Jason D. McEwen (University College London)

https://doi.org/10.33232/001c.146026

That concludes the papers for this week. With two weeks to go I think we might reach the 400 total by the end of October.

#arXiv240505969v3 #arXiv250511072v2 #arXiv250619942v3 #arXiv250703749v2 #BayesInference #BayesianModelComparison #CosmologyAndNonGalacticAstrophysics #DiamondOpenAccess #DiamondOpenAccessPublishing #GAIA #GaiaDR3 #galaxyClustering #GiantArc #InstrumentationAndMethodsForAstrophysics #largeScaleStructureOfTheUniverse #Mastodon #MgIIAbsorptionSystems #normalizingFlows #OpenJournalOfAstrophysics #ShotNoise #WideBinaries

📢📢 Today we make available a new Gaia DR3-based catalog: Gaia DR3 Best!

It is a small and compact catalog with only the very best stars in terms of parallax relative error. It contains 646K stars and weighs ~54 MB.

All the info: http://gaiasky.space/news/2025/new-catalog-dr3-best/

#GaiaSky #Catalog #GaiaDR3

New issue of the #GaiaMission Newsletter is out. Highlights include a job announcement, new issues for #GaiaDR2, #GaiaDR3 and the recent #GaiaFPR. Also, the *commanded* Gaia scanning law pointings for the entire 5.5 yr period covering nominal operations (up until summer 2025) has been published in the Gaia Arhcive.
https://www.cosmos.esa.int/web/gaia/newsletter/contents

A few hours hacking with the great @jni and here it is #napari cutting through 0.5 billion stars in the Milky Way, representing 7.3 TB, and stored by @Blosc2 into just 1.9 GB.

Video made with the cheapest MacBook in the market, and the best Open Source 🚀
#SciPy2023 #Sprints #ESAGaia #GaiaDR3

FINALLY!!
#GaiaDR3 papers officially published: https://www.aanda.org/component/toc/?task=topic&id=1641

ICYMI, 2 days ago was the first anniversary of #GaiaDR3. In celebration @ESAGaia(@🐦) shared this highlight of the #GaiaMission Multi-Dimensional view of the #MilkyWay! This image was constructed from 10 Gaia sky maps and highlights the diversity of Gaia data on a large sample of stars in the Milky Way. More info: https://www.cosmos.esa.int/web/gaia/iow_20230613

The next #GaiaUnlimited workshop is happening this Oct 4-6 in Turin, Italy. Info: https://gaia-unlimited.github.io/community-workshop2/
Come learn about the #GaiaMission survey selection function and how use it to properly interpret #GaiaDR3 datasets using tools to build and use it.

Just finished adding support for texture arrays in particle cloud objects. This is what SDSS looks like when adding a texture array with ~30 random galaxies.
#GaiaSky #SDSS #GaiaDR3 #Rendering #OpenGL

Latest installment on the #GaiaDR3 selection function. #GaiaMission
https://arxiv.org/abs/2303.17738

I have loaded the new cluster catalog by
@emilydoesastro into #GaiaSky. It contains 7200 clusters, which look so staggering! Will be creating a dataset shortly.

https://arxiv.org/abs/2303.13424

#GaiaDR3

RT @ESAGaia@🐦:

Attention #GaiaData users! Today, 3 tables have been added to the #GaiaDR3 catalogue in the #GaiaArchive: a table on chemical cartography, a table on spurious signals and an updated table on planetary transits for exoplanets. Full details: https://www.cosmos.esa.int/web/gaia/news

RT @ESAGaia
When Gaia observes the Magellanic Clouds, it does not take a picture of it! Instead it observes the individual stars that together form the Magellanic Clouds. With #GaiaDR3, Gaia truly reaches for the clouds and tracks their full motion, in 3 dimensions!
https://www.cosmos.esa.int/web/gaia/iow_20230131

RT @ESA_Gaia at Twitter:
Attention #GaiaData users! Two additional known issues were published today on the #GaiaDR3 synthetic photometry table. News item👉🏾 https://t.co/B7AiBNAqjh
and info on DR3 known issues 👉🏾 https://www.cosmos.esa.int/web/gaia/dr3-known-issues

Thanks to @cosmos4u and @rdrimmel, who posted about an attempt to use 66 thousand Mira variable stars to map the Milky Way. There is little detail outside the bar but at least their bar angle of 20.2 degrees is consistent with the #GaiaDR3 results. (Top image has galactic centre up).

https://arxiv.org/abs/2212.00035

RT @[email protected]

Ein Interview über #GaiaDR3 mit dem Erfurter Radiosender Radio F.R.E.I. https://www.radio-frei.de/?iid=1&ksubmit_show=sendung&kunixtime=1656925200

🐦🔗: https://twitter.com/StefanJordanARI/status/1544300716793151492

RT @[email protected]

New paper: an hors d'oeuvre (did I spell that right?) for the #GaiaDR3 binary star feast. https://arxiv.org/abs/2206.07723

1/n

🐦🔗: https://twitter.com/kjb_astro/status/1537772249498918913