#galaxy-zoo — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #galaxy-zoo, aggregated by home.social.
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"We’re delighted to announce the first #GalaxyZoo workflow to include images from the NSF-DOE Vera C #Rubin Observatory, using #galaxies drawn from its first Data Preview": https://blog.galaxyzoo.org/2026/05/12/a-first-galaxy-zoorubin-project/ - "[t]he new workflow went live on the site just now, but with only 10,359 subjects it won’t stick around for long, so do jump in and get classifying."
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👩🔬✨ "Galaxy Zoo" boldly invites you to contribute to scientific progress using the highly sophisticated tool of... clicking your mouse! 🖱️🌌 The project has bravely migrated to Zooniverse's new architecture, a move so monumental you'll need binoculars to glimpse the benefits. 🔭🚀
https://www.zooniverse.org/projects/zookeeper/galaxy-zoo #GalaxyZoo #CitizenScience #Zooniverse #Astronomy #TechInnovation #ScienceCommunity #HackerNews #ngated -
Announcing the #GalaxyZoo #JWST project! - https://blog.galaxyzoo.org/2025/04/29/announcing-the-galaxy-zoo-jwst-project/ "300,000 galaxy images from the COSMOS-Web survey taken with NASA’s James Webb Space Telescope (JWST)! We now need your help identifying the shapes of these galaxies" exciting #space
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Last Saturday I came across this little red dot in a Galaxy Zoo image and marked it as something someone might want to look at since it mystified me.
It seems I missed a paper published a year ago announcing a new kind of galaxy discovered with JWST, the (wait for it) Little Red Dot.
GZ just got JWST images a week or two ago and we've apparently turned up at least seven of them. No idea if this one is new, but still fun to have maybe made a minor discovery. #LittleRedDot #JWST #GalaxyZoo
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I've been helping classify galaxies on galaxyzoo.org, a couple of thousand so far after a big push a month ago and then a dozen or so each day since then.
I really enjoy that there's a distinct chance I'm the only person ever (or at least one of small group) who's looked at them. Some of my finds below, left for the professionals to actually figure out.
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Final sprint for the #ESAEuclid #galaxyzoo galaxy shape classification campaign. The set of 3500 galaxies requiring each 25 people's classification is almost but not yet fully complete.
So you can still participate: go to https://galaxyzoo.org and start classifying!
We will use these data to train an automated #machinelearning algorithm, which in turn will be able to classify millions and millions of #Euclid galaxies!
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Here's a #galaxy from #ESAEuclid's #galaxyzoo classification project. We can't tell you how far away it is and are not going to give a description, to not bias people's classification results: https://galaxyzoo.org
However: this galaxy could contain as many stars and planets as our #MilkyWay. #Euclid will take pictures of more than 2 billion galaxies, although many further away and hence with fewer details.
Mind blown?
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Anyone likes #galaxies? The Galaxy Zoo Euclid classification project continues to run for another two weeks: https://galaxyzoo.org
You can participate to describe the shapes of #ESAEuclid galaxies and help train a #MachineLearning model that will then be applied to classify many millions of #Euclid galaxies.
Here are just four of them (of 46,000 currently in #galaxyzoo Euclid):
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Now almost 80% of classifications for 43,000 #galaxies done. Keep 'em coming!
#CitizenScience #galaxyzoo #ESAEuclid #science #astronomy #astrodon #space
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You all are amazing: in the #ESAEuclid #galaxyzoo project currently 43,000 #galaxies are online to be classified, classifications needed by five people per galaxy. Already close to 50% of this is done, this means 3000 galaxies have been completed _per day_ since GalaxyZoo #Euclid was launched last week.
Keep it up! More galaxies are coming, for up to 100,000 by the end of August.
This is where this happens: https://galaxyzoo.org
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We announced it last week: @ec_euclid and #ESA have partnered with #GalaxyZoo to classify the shapes of many many many #ESAEuclid #galaxies. 100,000 at the minimum until the end of August, hopefully more.
Read more in our blogpost:
https://www.euclid-ec.org/galaxy-zoo-euclid/
or hear Dr. Becky explaining the background of this project:
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Today sees the launch of a new initiative between Galaxy Zoo (part of the Zooniverse conglomerate) and the Euclid Consortium which I am delighted to be able to promote on this blog. What follows the graphic is the text of the announcement which is being promoted across social media today. I’ll start with a little factoid which might surprise you: already in November 2023, before science operations even began, Euclid had sent back to Earth more data than the Hubble Space Telescope has done in in its entire lifetime.
Thanks to a new Galaxy Zoo project launched today, you can help identify the shapes of thousands of galaxies in images taken by ESA’s Euclid space telescope. These classifications will help scientists answer questions about how the shapes of galaxies have changed over time, and what caused these changes and why.
In its mission to map out the Universe, Euclid will image hundreds of thousands of distant galaxies. In November 2023 and May 2024, the world got its first glimpse at the quality of Euclid’s images, which included a variety of sources, from nearby nebulas to distant clusters of galaxies. In the background of each of these images are hundreds of thousands of distant galaxies.
This square astronomical image shows thousands of galaxies across the black expanse of space. The closest thousand or so galaxies belong to the Perseus Cluster.For the next six years, the spacecraft is expected to send around 100 GB of data back to Earth every day. That’s a lot of data, and labelling that through human effort alone is incredibly difficult.
That’s why ESA and Euclid consortium scientists have partnered with Galaxy Zoo. This is a citizen science project on the Zooniverse platform, where members of the public can help classify the shapes of galaxies.
Euclid will release its first catalogues of data to the scientific community starting in 2025, but in the meantime any volunteer on the Galaxy Zoo project can have a glimpse at previously unseen images from the telescope.
You could be the first person to lay eyes on a galaxy
The first set of data, which contains tens of thousands of galaxies selected from more than 800 000 images, has been made available on the platform, and is waiting for you to help classify them.
If you partake in the project, you could be the first to lay eyes on Euclid’s latest images. Not only that, you could also be the first human ever to see the galaxy in the image.
The Galaxy Zoo project was first launched in 2007, and asked members of the public to help classify the shapes of a million galaxies from images taken by the Sloan Digital Sky Survey. In the past 17 years, Galaxy Zoo has remained operational, with more than 400 000 people classifying the shapes of galaxies from other projects and telescopes, including the the NASA/ESA Hubble Space Telescope and the NASA/ESA/CSA James Webb Space Telescope.
Humans and AI working together
These classifications are not only useful for their immediate scientific potential, but also as a training set for Artificial Intelligence (AI) algorithms. Without being taught what to look for by humans, AI algorithms struggle to classify galaxies. But together, humans and AI can accurately classify limitless numbers of galaxies.
At Zooniverse, the team has developed an AI algorithm called ZooBot, which will sift through the Euclid images first and label the ‘easier ones’ of which a lot of examples already exist in previous galaxy surveys. When ZooBot is not confident on the classification of a galaxy, perhaps due to complex or faint structures, it will show it to users on Galaxy Zoo to get their human classifications, which will then help ZooBot to learn more.
On the platform, volunteers will be presented with images of galaxies and will then be asked several questions, such as “Is the galaxy round?”, or “Are there signs of spiral arms?”.
After being trained on these human classifications, ZooBot will be integrated in the Euclid catalogues to provide detailed classifications for hundreds of millions of galaxies, making it the largest scientific catalogue to date, and enabling groundbreaking new science.
This project makes use of the ESA Datalabs digital platform to generate a large number of cutouts of galaxies imaged by Euclid.
Thanks to a new Galaxy Zoo project launched today, you can help identify the shapes of thousands of galaxies in images taken by ESA’s Euclid space telescope. These classifications will help scientists answer questions about how the shapes of galaxies have changed over time, and what caused these changes and why.
The first set of data, which contains tens of thousands of galaxies selected from more than 800 000 images, has been made available on the platform, and is waiting for you to help classify them.
Examples of Euclid galaxies to classify are shown in this image.
Euclid Galaxy Zoo galaxies to classify. Forty galaxies are shown against a black background. The galaxies are all different in shape, some look like spirals, some look barred, or smooth. Image credit: ESA/Euclid/Euclid Consortium/NASA, CC BY-SA 3.0 IGO or ESA Standard LicenceAbout Euclid
Euclid was launched in July 2023 and started its routine science observations on 14 February 2024. The goal of the mission is to reveal the hidden influence of dark matter and dark energy on the visible Universe. Over a period of six years, Euclid will observe the shapes, distances and motions of billions of galaxies out to 10 billion light-years.
Euclid is a European mission, built and operated by ESA, with contributions from NASA. The Euclid Consortium – consisting of more than 2000 scientists from 300 institutes in 15 European countries, the USA, Canada and Japan – is responsible for providing the scientific instruments and scientific data analysis. ESA selected Thales Alenia Space as prime contractor for the construction of the satellite and its service module, with Airbus Defence and Space chosen to develop the payload module, including the telescope. NASA provided the detectors of the Near-Infrared Spectrometer and Photometer, NISP. Euclid is a medium-class mission in ESA’s Cosmic Vision Programme.
https://telescoper.blog/2024/08/01/euclid-galaxy-zoo/
#darkMatter #ESA #Euclid #EuclidConsortium #GalaxyZoo #SpaceX #Universe
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#ESAEuclid #CitizenScience is here! For the next month, galaxyzoo.org will feature almost a million #Euclid images of galaxies - and we're asking you to classify their shapes. The goal is to reach at least 100,000 classifications by the end of August, to train a classification AI.
These images are brand new, and there's a good chance that you are the first to look at them! 🌀 🛰️ 🔭
Read more: https://www.euclid-ec.org/galaxy-zoo-euclid
#space #science #astronomy #astrodon #ESA #galaxies #galaxyzoo
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Hello Friends!
Hey, look what an interesting message I found written in the sky.
Turns out there are billions of #galaxies in the #universe which we can see with our #telescopes. Some of these galaxies kind of look like letters.
If you want to make your own message with #galaxy shapes, or maybe have your name written in the sky,
try this website:
Courtesy of Steven Bamford and the #GalaxyZoo project.
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Well that was my #GalaxyZoo talk done for #NASARoman. Impossible to read the room for a remote talk, so I have no idea if people were interested.
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(I’m not going except “virtually” to a Special Session on the Nancy Roman telescope where I’ll give a talk on #galaxyzoo type analysis).
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Happy Holidays written in galaxies images by #SDSS and found thanks to #GalaxyZoo volunteers writing.galaxyzoo.org
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And then we moved onto if it would be interesting to get more 21cm line observations for some samples - I love #radioastronomy and neutral hydrogen in #galaxies and #GalaxyZoo - so that was an excellent mashup for me. :)
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Enjoying the Galaxy Zoo science team catchup this morning - discussing unusual and cool looking galaxies, and how having more Hubble Space Telescope imaging could help! #astronomy #GalaxyZoo #citizenscience
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#Threethings for Fri Nov 11: 1. Thanks to Bill Keel, a new #Hubble image of Bruno’s Violin Clef, found by #galaxyzoo. Four galaxies dancing together. 2. Congrats to the Keck #Planet Finder on first light, an instrument capable of detecting a star moving at much less than walking speed. https://keckobservatory.org/kpf/ 3. For Nov 11, I’m always moved by the memorial in New College chapel to German members of college who died in WW1, erected in 1930. Story here: https://tinyurl.com/NewColWW1
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Interesting. Phil Plait on results from Galaxy Zoo showing Hubble's classification of spiral galaxies may not be correct.
