Also on ELSA #PaperDay, the ELSA work by Jurgen Popp featured in the @royalastrosoc's third Specialist Discussion Meeting on Machine learning and artificial intelligence applied to astronomy. Meeting summary: https://doi.org/10.1093/astrogeo/atag044

Also on ELSA #PaperDay, the ELSA work by Jurgen Popp featured in the @royalastrosoc.bsky.social's third Specialist Discussion Meeting on Machine learning and artificial intelligence applied to astronomy. Meeting summary: doi.org/10.1093/astr...

Also on ELSA #PaperDay we'd like to highlight our latest ELSA
@ec_euclid citizen science project, Artifact InSPECtor. Would you like to rummage space telescope data? #astrodon https://www.zooniverse.org/projects/artifact-pipeline/artifact-inspector

Also for ELSA #PaperDay : check out the AstronomicAL data mining tool from Grant Stevens https://github.com/grant-m-s/AstronomicAL - an interactive, plugin-based platform for exploring, labelling, integrating, and modelling scientific data

Next on ELSA #PaperDay : we're delighted to say that Ben Granett's fabulous spectroscopy tool GELSA is now on pypl - just install with pip install gelsa

See also https://github.com/elsa-euclid/gelsa-notebooks/

Next in our ELSA #PaperDay is some nice work by Fabio Rigamonti, who predicted how VESPER at the future Extremely Large Telescope will show how galactic structures emerge and evolve. The paper's in a white book for a third-generation instrument on the ELT

And Jurgen's third #PaperDay paper derived the physical properties of each clump, such as stellar mass, age, dust extinction and star-formation rate, concluding there's inward-migration of the clumps which formed in situ through violent disk instabilities https://arxiv.org/abs/2609.20079

That paper's at https://academic.oup.com/rasti/article/doi/10.1093/rasti/rzag051/8736045#570235757 . Jurgen's second paper in our #PaperDay looks at the cosmic evolution of these clumps, diagnosing the drivers of cosmic stellar mass assembly […]

[Original post on mastodon.social]

It's another ELSA #PaperDay! First up is a collection of three papers by Jurgen Popp. His first paper uses deep learning to detect star-forming clumps in
@ec_euclid data with Faster-RCNN

Also on ELSA #PaperDay we'd like to highlight our latest ELSA @ec-euclid.bsky.social citizen science project, Artifact InSPECtor. Would you like to rummage space telescope data? 🔭🧪 www.zooniverse.org/projects/art...

Also for ELSA #PaperDay : check out the AstronomicAL data mining tool from Grant Stevens github.com/grant-m-s/As... - an interactive, plugin-based platform for exploring, labelling, integrating, and modelling scientific data

Next on ELSA #PaperDay : we're delighted to say that Ben Granett's fabulous spectroscopy tool GELSA is now on pypl - just install with pip install gelsa

See also github.com/elsa-euclid/...

Next in our ELSA #PaperDay is some nice work by Fabio Rigamonti, who predicted how VESPER at the future Extremely Large Telescope will show how galactic structures emerge and evolve. The paper's in a white book for a third-generation instrument on the ELT

And Jurgen's third #PaperDay paper derived the physical properties of each clump, such as stellar mass, age, dust extinction and star-formation rate, concluding there's inward-migration of the clumps which formed in situ through violent disk instabilities arxiv.org/abs/2609.20079

That paper's at academic.oup.com/rasti/articl... . Jurgen's second paper in our #PaperDay looks at the cosmic evolution of these clumps, diagnosing the drivers of cosmic stellar mass assembly academic.oup.com/mnras/articl...

It's another ELSA #PaperDay! First up is a collection of three papers by Jurgen Popp. His first paper uses deep learning to detect star-forming clumps in @ec-euclid.bsky.social data with Faster-RCNN