From 736ad84850881c950acc7d0bef80c6452bc0746e Mon Sep 17 00:00:00 2001 From: Mike Walmsley Date: Mon, 1 Jul 2024 10:03:58 +0100 Subject: [PATCH] Update README.md Add more papers --- README.md | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index facfc83a..ef48c192 100755 --- a/README.md +++ b/README.md @@ -177,10 +177,21 @@ You might be interested in reading papers using Zoobot: - [Harnessing the Hubble Space Telescope Archives: A Catalogue of 21,926 Interacting Galaxies](https://arxiv.org/abs/2303.00366) (2023) - [Galaxy Zoo DESI: Detailed morphology measurements for 8.7M galaxies in the DESI Legacy Imaging Surveys](https://academic.oup.com/mnras/advance-article/doi/10.1093/mnras/stad2919/7283169?login=false) (2023) - [Galaxy mergers in Subaru HSC-SSP: A deep representation learning approach for identification, and the role of environment on merger incidence](https://doi.org/10.1051/0004-6361/202346743) (2023) +- [Rare Galaxy Classes Identified In Foundation Model Representations](https://arxiv.org/abs/2312.02910) (2023) - [Astronomaly at Scale: Searching for Anomalies Amongst 4 Million Galaxies](https://arxiv.org/abs/2309.08660) (2024) - [Transfer learning for galaxy feature detection: Finding Giant Star-forming Clumps in low redshift galaxies using Faster R-CNN](https://arxiv.org/abs/2312.03503) (2024) - [Euclid preparation. Measuring detailed galaxy morphologies for Euclid with Machine Learning](https://arxiv.org/abs/2402.10187) (2024, submitted) - [Scaling Laws for Galaxy Images](https://arxiv.org/abs/2404.02973) (2024, submitted) - [Galaxy Zoo Evo: 107M volunteer labels for 823k galaxy images](https://huggingface.co/collections/mwalmsley/galaxy-zoo-evo-66532c6c258f5fad31f31880) (2024, submitted) -Many other works use Zoobot indirectly via the [Galaxy Zoo DECaLS](https://arxiv.org/abs/2102.08414) and [Galaxy Zoo DESI](https://academic.oup.com/mnras/advance-article/doi/10.1093/mnras/stad2919/7283169?login=false) morphology catalogs. Zoobot is also deployed on the Euclid pipeline to produce the OU-MER morphology catalog. +Many other works use Zoobot indirectly via the [Galaxy Zoo DECaLS](https://arxiv.org/abs/2102.08414) and [Galaxy Zoo DESI](https://academic.oup.com/mnras/advance-article/doi/10.1093/mnras/stad2919/7283169?login=false) morphology catalogs, for example: + +- [Galaxy zoo: stronger bars facilitate quenching in star-forming galaxies](https://ui.adsabs.harvard.edu/abs/2021MNRAS.507.4389G/abstract) (2022) +- [The Effect of Environment on Galaxy Spiral Arms, Bars, Concentration, and Quenching](https://ui.adsabs.harvard.edu/abs/2022AJ....164..146S/abstract) (2022) +- [Galaxy Zoo: kinematics of strongly and weakly barred galaxies](https://ui.adsabs.harvard.edu/abs/2023MNRAS.521.1775G/abstract) (2023) +- [Dependence of galactic bars on the tidal density field in the SDSS](https://ui.adsabs.harvard.edu/abs/2023MNRAS.525.1520D/abstract) (2023) +- [Galaxy Zoo DESI: large-scale bars as a secular mechanism for triggering AGN](https://arxiv.org/abs/2406.20096) (2024) +- [Galaxy zoo: stronger bars facilitate quenching in star-forming galaxies ](https://arxiv.org/abs/2405.05960) (2024, submitted) +- [Uncovering Tidal Treasures: Automated Classification of Faint Tidal Features in DECaLS Data](https://arxiv.org/abs/2404.06487) (2024, submitted) + +Zoobot is deployed on the Euclid pipeline to produce the OU-MER morphology catalog. This is available as part of each Euclid data release (currently internal only, public release of Q1 data anticipated in Q2 2025).