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

wind turbine
Aalto University, Department of Information and Communications Engineering, Highlight, Research Published:

New research: Reliable electricity can no longer be taken for granted – the green transition may require fossil fuel as backup

Although Finland's electricity system has been exceptionally reliable, this may not necessarily be the case in the future. A recent study by Aalto University warns that without further investment in flexible production and demand management, the security of the electricity supply could deteriorate significantly as early as the 2030s.
Gut Bacteria
Aalto University, AI, Collaboration, Computer Science Department, Health, Highlight, Research, University of Helsinki Published:

New information on the spread of gut bacteria that cause bloodstream infections

Gut bacteria that cause bloodstream infections can spread as quickly as influenza epidemics. The good news is neither the antibiotic-resistant nor the highly virulent strains are the most transmissible.
Academy Professors
Aalto University, Appointments, Awards, Highlight Published:

Three new Academy Professors at Aalto University

Professor Tuomas Hytönen from the Department of Mathematics and Systems Analysis, Professor Mikko Möttönen from the Department of Applied Physics and Professor Aki Vehtari from the Department of Computer Science have been appointed as Academy Professors for the term 1 January 2026–31 December 2031. Congratulations to all!
Daniela da Silva Fernandes on the left and Robin Welsch on the right.
Aalto University, AI, Artificial Intelligence, Highlight, Research Published:

AI use makes us overestimate our cognitive performance

New research warns we shouldn’t blindly trust Large Language Models with logical reasoning –– stopping at one prompt limits ChatGPT’s usefulness more than users realise.