James Webb telescope gives unprecedented open access to images of the deep universe

Researchers from Aalto University played a key role in cataloguing the largest ever sample of deep galaxies in the early universe, with all the data now publicly available in an easily searchable format.
Brightest group galaxies selected from the COSMOS-Web catalog, spanning from approximately 1 to 11 billion years ago
Brightest group galaxies selected from the COSMOS-Web catalog, spanning from approximately 1 to 11 billion years ago. Credit: Gozaliasl, Kartaltepe, Casey, Koekemoer, Franco — Aalto/RIT/UT Austin/IAP/CANDIDE/COSMOS Web.

COSMOS-Web was the largest General Observer programme selected for Cycle 1 of the James Webb Space Telescope (JWST), including imagery from some 255 hours of observation. The survey has captured some of the rarest objects in the universe, and now these images and supporting data are available for scientists – and the public alike – to delve in and make further discoveries. 

As part of this major international release, which draws on expertise from 95 universities and research institutions worldwide, two companion research papers led by astrophysicist Ghassem Gozaliasl from Aalto University demonstrate the scientific potential of the new COSMOS2025 catalog. 

‘This public release of the largest deep space catalogue ever created is a remarkable step for science and society. It democratizes access to the early universe, enabling not only scientists but also students, educators, and the public to explore our cosmic origins interactively,’ says Gozaliasl. ‘It’s especially exciting that researchers from Finland have contributed to this effort — showcasing how global collaboration and open science are shaping the future of discovery.’

Gozaliasl’s latest research focuses on how galaxies grow and evolve across cosmic time, using JWST’s unprecedented imaging capabilities and modern machine learning tools.

‘Thanks to JWST and the COSMOS-Web survey, we can now trace how galaxies shut down star formation, undergo morphological transformation, and how these processes are shaped by their environment across cosmic time, even predicting galaxy properties using AI-driven methods,’ he says.

The catalogue’s public launch was announced by Rochester Institute of Technology on June 5, 2025. Read more here.

This news item was originally published on the Aalto University website on 6.6.2025

  • Updated:
  • Published:
Share
URL copied!

Read more news

AI for food science
AI, Collaboration, Community Outreach, Highlight, University of Helsinki Published:

AI for Food Science workshop sparks international collaboration

How can universities, research institutes, and food companies work together to harness the power of emerging AI for food science? University of Helsinki organized a dedicated workshop, bringing leading European researchers and industry experts to the same table.
AI literacy
AI, Artificial Intelligence, Community Outreach, Computer Science Department, Education, Highlight, University of Helsinki Published:

Europe’s best AI literacy initiative for education comes from Finland

Generation AI, a Finnish initiative for AI literacy in education and research, has won the European Union’s 2026 Digital Skills Award for promoting AI literacy among children and young people. The award ceremony was held in Brussels on 30 June 2026.
emoji faces
Aalto University, AI, Collaboration, Highlight, Research Published:

RealYou AI will develop the next generation of personalized AI decision assistants

Researchers to build cognitive machine learning that will improve decision-making with instantly personalized intelligent assistance.
Jukka Suomela
Aalto University, Awards, Computer Science Department, Funding, Highlight Published:

Highly sought-after EU funding for three Aalto University researchers

The projects led by Adam Foster, Jani Oksanen and Jukka Suomela focus on atomically precise materials-engineering, LED-based thermal management and quantum methods in distributed networks.