Announcing the Galaxy Zoo: Euclid project!

We are thrilled to announce the launch of the Galaxy Zoo: Euclid project, with 820,000 galaxy images fresh from ESA’s Euclid Space Telescope’s first year of operations! This will be the public’s first chance to see survey images from the Euclid telescope. If you take part in the project, you could be the first human to ever see that image from Euclid. Not only that, you could be the first human in the Universe to ever lay eyes on the galaxy in the image. These classifications will help the Galaxy Zoo and Euclid science teams answer questions about how the shapes of galaxies have changed over time, and which processes in the Universe have caused these changes.

A small selection of the 820,000 galaxy images taken by the Euclid Space Telescope now showing on Galaxy Zoo (galaxyzoo.org) for volunteers to classify. Galaxy Zoo volunteers will be the first people to see these images. Credit: ESA/Euclid/Euclid Consortium/NASA, image processing by M. Walmsley.

First off, if you’re not familiar, let’s start with the Euclid Space Telescope. The European Space Agency’s (ESA) Euclid space telescope launched in July 2023 and has begun to take its survey of the sky. Euclid has been designed to look at a much larger region of sky than the Hubble Space Telescope or the James Webb Space Telescope, meaning it can capture a wide range of different objects all in the same image – from faint to bright, from distant to nearby, from the most massive of galaxy clusters, to the smallest nearby stars. With Euclid, we will get both a very detailed and very wide view (more than one third of the sky) all at once. 

In November 2023 and May 2024, the world got its first glimpse at the quality of Euclid’s images with Euclid’s Early Release Observations which targeted various astronomical objects, from nearby nebulae, to distant clusters of galaxies. Below is an incredible image of the 1000 galaxies in the nearby Perseus cluster taken by Euclid. What you’ll notice in the background though is a plethora of distant galaxies all ready for their shapes to be classified! At the latest count, there’s 100,000 background galaxies in this one image alone. 

This incredible snapshot from Euclid is a revolution for astronomy. The image shows 1000 galaxies belonging to the nearby Perseus Cluster, and more than 100000 additional galaxies further away in the background, each containing up to hundreds of billions of stars. Many of these faint galaxies were previously unseen. Some of them are so distant that their light has taken 10 billion years to reach us. You can see the full resolution version from ESA here. Credit: ESA/Euclid/Euclid Consortium/NASA, image processing by J.-C. Cuillandre (CEA Paris-Saclay), G. Anselmi

The sheer volume of data from Euclid is a huge challenge to us astronomers; Euclid is set to send back 100GB of data per day for six years. That’s a lot of data, and labelling that through human effort alone is incredibly difficult. So we will once again be deploying our AI algorithm, called Zoobot, for this project. If you want to know more about Zoobot, Mike wrote a great blog post explaining it in more detail last year. In short, Zoobot learns from Galaxy Zoo volunteers to predict what they would say for new galaxy images. After being trained on the human answers that you will contribute in the next few months, Zoobot will then be able to give us detailed classifications for hundreds of millions of galaxies found by Euclid over its next six years of observations, creating the largest detailed galaxy catalogue to date and enabling groundbreaking scientific analysis on topics like supermassive black holes, merging galaxies, and more.

Zoobot will sift through the Euclid images first to classify the “easier” galaxies that we already have a lot of examples of from previous telescopes. However, for the galaxies where Zoobot is not confident in its classification, perhaps because the galaxy is unusual, it will send  those images to volunteers on Galaxy Zoo to get their human classifications, which then help Zoobot to learn more. The Galaxy Zoo: Euclid project will therefore see AI and humans working together to learn more about our Universe. 

We’re really excited about this project on the team, not least because it’s been in the pipeline for a long time! But also, because of the science that will be made possible thanks to this project. Given Euclid’s unique design that gives us both a very detailed and very wide view, we’ll be able to classify the shapes of galaxies out to much greater distances than ever before. This means we can see further back in time in the Universe’s history to trace how the shapes of galaxies have changed earlier in cosmic time. While JWST also makes this possible, the images from JWST are from a much smaller area of sky. Euclid, however, will cover one third of the entire sky and give us a look at the entire galaxy population that’s visible to us from within the Milky Way. Even as I’m typing this I’m getting excited at the population statistics that GZ: Euclid will make possible!

What’s more is that Euclid’s main focus has always been to understand the distribution and effects of dark matter in our Universe. Dark matter is matter that we know is there because of its gravitational effect on things around it, but it doesn’t emit, reflect, or absorb light, so we can’t see it. The Euclid team are planning to make a 3D map of the positions of all the galaxies they find, and trace out where all the visible and dark matter is. Combining this map with your classifications of the shapes of galaxies, we will for the first time be able to ask the question: how does dark matter affect the shapes of galaxies over cosmic time? 

So I hope I’ve convinced you about how exciting this project is and you are now ready and raring to go with your classifications. You can find a link to the project below. If you do decide to take part: THANK YOU! We appreciate every single click. Join us and classify now.

Becky Smethurst, on behalf of the the Galaxy Zoo and Euclid science teams

P.S. Some of you might notice that metadata is absent for these images for now. This is because the images you’re seeing are not yet publicly available. Extra data will be added upon Euclid’s first data release in 2025.

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