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By NASA
3 min read
Help Classify Galaxies Seen by NASA’s James Webb Space Telescope!
The Galaxy Zoo classification interface shows you an image from NASA’s Webb telescope and asks you questions about it. Image credit: Galaxy Zoo, Zooniverse. Inset galaxy: NASA/STScI/CEERS/TACC/S. Finkelstein/M. Bagley/Z. Levay/A. Pagan NASA needs your help identifying the shapes of thousands of galaxies in images taken by our James Webb Space Telescope with the Galaxy Zoo project. These classifications will help scientists answer questions about how the shapes of galaxies have changed over time, what caused these changes, and why. Thanks to the light collecting power of Webb, there are now over 500,000 images of galaxies on website of the Galaxy Zoo citizen science project—more images than scientists can classify by themselves.
“This is a great opportunity to see images from the newest space telescope,” said volunteer Christine Macmillan from Aberdeen, Scotland. “Galaxies at the edge of our universe are being seen for the first time, just as they are starting to form. Just sign up and answer simple questions about the shape of the galaxy that you are seeing. Anyone can do it, ages 10 and up!”
As we look at more distant objects in the universe, we see them as they were billions of years ago because light takes time to travel to us. With Webb, we can spot galaxies at greater distances than ever before. We’re seeing what some of the earliest galaxies ever detected look like, for the first time. The shapes of these galaxies tell us about how they were born, how and when they formed stars, and how they interacted with their neighbors. By looking at how more distant galaxies have different shapes than close galaxies, we can work out which processes were more common at different times in the universe’s history.
At Galaxy Zoo, you’ll first examine an image from the Webb telescope. Then you will be asked several questions, such as ‘Is the galaxy round?’, or ‘Are there signs of spiral arms?’. If you’re quick, you may even be the first person to see the galaxies you’re asked to classify.
“I’m amazed and honored to be one of the first people to actually see these images! What a privilege!” said volunteer Elisabeth Baeten from Leuven, Belgium.
Galaxy Zoo is a citizen science project with a long history of scientific impact. Galaxy Zoo volunteers have been exploring deep space since July 2007, starting with a million galaxies from a telescope in New Mexico called the Sloan Digital Sky Survey and then, moving on to images from space telescopes like NASA’s Hubble Space Telescope and ESA (European Space Agency)’s Euclid telescope. The project has revealed spectacular mergers, taught us about how the black holes at the center of galaxies affect their hosts, and provided insight into how features like spiral arms form and grow.
Now, in addition to adding new data from Webb, the science team has incorporated an AI algorithm called ZooBot, which will sift through the images first and label the ‘easier ones’ where there are many examples that already exist in previous images from the Hubble Space Telescope. 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 learn more. Working together, humans and AI can accurately classify limitless numbers of galaxies. The Galaxy Zoo science team acknowledges support from the International Space Sciences Institute (ISSI), who provided funding for the team to get together and work on Galaxy Zoo. Join the project now.
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Last Updated Apr 29, 2025 Related Terms
Astrophysics Division Citizen Science Get Involved James Webb Space Telescope (JWST) Explore More
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By NASA
5 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
NASA’s SPHEREx, which will map millions of galaxies across the entire sky, captured one of its first exposures March 27. The observatory’s six detectors each captured one of these uncalibrated images, to which visible-light colors have been added to represent infrared wavelengths. SPHEREx’s complete field of view spans the top three images; the same area of the sky is also captured in the bottom three images. NASA/JPL-Caltech Processed with rainbow hues to represent a range of infrared wavelengths, the new pictures indicate the astrophysics space observatory is working as expected.
NASA’s SPHEREx (short for Spectro-Photometer for the History of the Universe, Epoch of Reionization and Ices Explorer) has turned on its detectors for the first time in space. Initial images from the observatory, which launched March 11, confirm that all systems are working as expected.
Although the new images are uncalibrated and not yet ready to use for science, they give a tantalizing look at SPHEREx’s wide view of the sky. Each bright spot is a source of light, like a star or galaxy, and each image is expected to contain more than 100,000 detected sources.
There are six images in every SPHEREx exposure — one for each detector. The top three images show the same area of sky as the bottom three images. This is the observatory’s full field of view, a rectangular area about 20 times wider than the full Moon. When SPHEREx begins routine science operations in late April, it will take approximately 600 exposures every day.
Each image in this uncalibrated SPHEREx exposure contains about 100,000 light sources, including stars and galaxies. The two insets at right zoom in on sections of one image, showcasing the telescope’s ability to capture faint, distant galaxies. These sections are processed in grayscale rather than visible-light color for ease of viewing.NASA/JPL-Caltech “Our spacecraft has opened its eyes on the universe,” said Olivier Doré, SPHEREx project scientist at Caltech and NASA’s Jet Propulsion Laboratory, both in Southern California. “It’s performing just as it was designed to.”
The SPHEREx observatory detects infrared light, which is invisible to the human eye. To make these first images, science team members assigned a visible color to every infrared wavelength captured by the observatory. Each of the six SPHEREx detectors has 17 unique wavelength bands, for a total of 102 hues in every six-image exposure.
Breaking down color this way can reveal the composition of an object or the distance to a galaxy. With that data, scientists can study topics ranging from the physics that governed the universe less than a second after its birth to the origins of water in our galaxy.
“This is the high point of spacecraft checkout; it’s the thing we wait for,” said Beth Fabinsky, SPHEREx deputy project manager at JPL. “There’s still work to do, but this is the big payoff. And wow! Just wow!”
During the past two weeks, scientists and engineers at JPL, which manages the mission for NASA, have executed a series of spacecraft checks that show all is well so far. In addition, SPHEREx’s detectors and other hardware have been cooling down to their final temperature of around minus 350 degrees Fahrenheit (about minus 210 degrees Celsius). This is necessary because heat can overwhelm the telescope’s ability to detect infrared light, which is sometimes called heat radiation. The new images also show that the telescope is focused correctly. Focusing is done entirely before launch and cannot be adjusted in space.
“Based on the images we are seeing, we can now say that the instrument team nailed it,” said Jamie Bock, SPHEREx’s principal investigator at Caltech and JPL.
How It Works
Where telescopes like NASA’s Hubble and James Webb space telescopes were designed to target small areas of space in detail, SPHEREx is a survey telescope and takes a broad view. Combining its results with those of targeted telescopes will give scientists a more robust understanding of our universe.
The observatory will map the entire celestial sky four times during its two-year prime mission. Using a technique called spectroscopy, SPHEREx will collect the light from hundreds of millions of stars and galaxies in more wavelengths any other all-sky survey telescope.
Track the real-time location of NASA’s SPHEREx space observatory using the agency’s 3D visualization tool, Eyes on the Solar System. When light enters SPHEREx’s telescope, it’s directed down two paths that each lead to a row of three detectors. The observatory’s detectors are like eyes, and set on top of them are color filters, which are like color-tinted glasses. While a standard color filter blocks all wavelengths but one, like yellow- or rose-tinted glasses, the SPHEREx filters are more like rainbow-tinted glasses: The wavelengths they block change gradually from the top of the filter to the bottom.
“I’m rendered speechless,” said Jim Fanson, SPHEREx project manager at JPL. “There was an incredible human effort to make this possible, and our engineering team did an amazing job getting us to this point.”
More About SPHEREx
The SPHEREx mission is managed by JPL for the agency’s Astrophysics Division within the Science Mission Directorate at NASA Headquarters. BAE Systems (formerly Ball Aerospace) built the telescope and the spacecraft bus. The science analysis of the SPHEREx data will be conducted by a team of scientists located at 10 institutions in the U.S., two in South Korea, and one in Taiwan. Caltech managed and integrated the instrument. Data will be processed and archived at IPAC at Caltech. The mission’s principal investigator is based at Caltech with a joint JPL appointment. The SPHEREx dataset will be publicly available at the NASA-IPAC Infrared Science Archive. Caltech manages JPL for NASA.
For more about SPHEREx, visit:
https://science.nasa.gov/mission/spherex/
News Media Contact
Calla Cofield
Jet Propulsion Laboratory, Pasadena, Calif.
626-808-2469
calla.e.cofield@jpl.nasa.gov
2025-045
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Last Updated Apr 01, 2025 Related Terms
SPHEREx (Spectro-Photometer for the History of the Universe and Ices Explorer) Astrophysics Galaxies Origin & Evolution of the Universe The Search for Life The Universe Explore More
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By European Space Agency
Video: 00:06:44 The European Space Agency’s Euclid mission has scouted out the three areas in the sky where it will eventually provide the deepest observations of its mission.
In just one week of observations, with one scan of each region so far, Euclid already spotted 26 million galaxies. The farthest of those are up to 10.5 billion light-years away.
In the coming years, Euclid will pass over these three regions tens of times, capturing many more faraway galaxies, making these fields truly ‘deep’ by the end of the nominal mission in 2030.
The first glimpse of 63 square degrees of the sky, the equivalent area of more than 300 times the full Moon, already gives an impressive preview of the scale of Euclid’s grand cosmic atlas when the mission is complete. This atlas will cover one-third of the entire sky – 14 000 square degrees – in this high-quality detail.
Explore the three deep field previews in ESASky:
- Euclid Deep Field South
- Euclid Deep Field Fornax:
- Euclid Deep Field North:
Read more: Euclid opens data treasure trove, offers glimpse of deep fields
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By USH
On March 26, 2020, a French astronomer Mark Carlotto used a telescope to capture a video showing the moon at night. Dr. M. Carlotto is a specialist in digital video analysis of space objects. The video shows three objects rising above the Moon’s limb, flying across the lunar surface and disappearing in the Moon’s shadow.
The fact that some of these objects are so clearly visible and close enough to the moon to be able to cast noticeable shadows immediately suggests that they are quite large. Using the large Endymion crater as a benchmark, the sizes of the objects were determined.
The size of the object flying over Endymion is about 5 miles long and about 1 to 3 miles wide. The other two objects appear to be comparable in size.
By measuring the displacement of the object it appears that the object is traveling at about 31 mps. It is traveling more than 30 times faster than if it were in lunar orbit.
A paper was recently published that attempts to prove that the original video is a fake. Arxiv.org analyzed the video (not included in the analysis) but extracted and provided three images of the recorded objects for examination, as seen above, and they then conducted calculations to verify its authenticity.
Despite government and space agency denials of UFO existence, photographic evidence and subsequent analysis suggest the presence of large extraterrestrial craft near the Moon and elsewhere in space.View the full article
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By NASA
5 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Jeremy Frank, left, and Caleb Adams, right, discuss software developed by NASA’s Distributed Spacecraft Autonomy project. The software runs on spacecraft computers, currently housed on a test rack at NASA’s Ames Research Center in California’s Silicon Valley, and depicts a spacecraft swarm virtually flying in lunar orbit to provide autonomous position navigation and timing services at the Moon. NASA/Brandon Torres Navarrete Talk amongst yourselves, get on the same page, and work together to get the job done! This “pep talk” roughly describes how new NASA technology works within satellite swarms. This technology, called Distributed Spacecraft Autonomy (DSA), allows individual spacecraft to make independent decisions while collaborating with each other to achieve common goals – all without human input.
NASA researchers have achieved multiple firsts in tests of such swarm technology as part of the agency’s DSA project. Managed at NASA’s Ames Research Center in California’s Silicon Valley, the DSA project develops software tools critical for future autonomous, distributed, and intelligent swarms that will need to interact with each other to achieve complex mission objectives.
“The Distributed Spacecraft Autonomy technology is very unique,” said Caleb Adams, DSA project manager at NASA Ames. “The software provides the satellite swarm with the science objective and the ‘smarts’ to get it done.”
What Are Distributed Space Missions?
Distributed space missions rely on interactions between multiple spacecraft to achieve mission goals. Such missions can deliver better data to researchers and ensure continuous availability of critical spacecraft systems.
Typically, spacecraft in swarms are individually commanded and controlled by mission operators on the ground. As the number of spacecraft and the complexity of their tasks increase to meet new constellation mission designs, “hands-on” management of individual spacecraft becomes unfeasible.
Distributing autonomy across a group of interacting spacecraft allows for all spacecraft in a swarm to make decisions and is resistant to individual spacecraft failures.
The DSA team advanced swarm technology through two main efforts: the development of software for small spacecraft that was demonstrated in space during NASA’s Starling mission, which involved four CubeSat satellites operating as a swarm to test autonomous collaboration and operation with minimal human operation, and a scalability study of a simulated spacecraft swarm in a virtual lunar orbit.
Experimenting With DSA in Low Earth Orbit
The team gave Starling a challenging job: a fast-paced study of Earth’s ionosphere – where Earth’s atmosphere meets space – to show the swarm’s ability to collaborate and optimize science observations. The swarm decided what science to do on their own with no pre-programmed science observations from ground operators.
“We did not tell the spacecraft how to do their science,” said Adams. “The DSA team figured out what science Starling did only after the experiment was completed. That has never been done before and it’s very exciting!”
The accomplishments of DSA onboard Starling include the first fully distributed autonomous operation of multiple spacecraft, the first use of space-to-space communications to autonomously share status information between multiple spacecraft, the first demonstration of fully distributed reactive operations onboard multiple spacecraft, the first use of a general-purpose automated reasoning system onboard a spacecraft, and the first use of fully distributed automated planning onboard multiple spacecraft.
During the demonstration, which took place between August 2023 and May 2024, Starling’s swarm of spacecraft received GPS signals that pass through the ionosphere and reveal interesting – often fleeting – features for the swarm to focus on. Because the spacecraft constantly change position relative to each other, the GPS satellites, and the ionospheric environment, they needed to exchange information rapidly to stay on task.
Each Starling satellite analyzed and acted on its best results individually. When new information reached each spacecraft, new observation and action plans were analyzed, continuously enabling the swarm to adapt quickly to changing situations.
“Reaching the project goal of demonstrating the first fully autonomous distributed space mission was made possible by the DSA team’s development of distributed autonomy software that allowed the spacecraft to work together seamlessly,” Adams continued.
Caleb Adams, Distributed Spacecraft Autonomy project manager, monitors testing alongside the test racks containing 100 spacecraft computers at NASA’s Ames Research Center in California’s Silicon Valley. The DSA project develops and demonstrates software to enhance multi-spacecraft mission adaptability, efficiently allocate tasks between spacecraft using ad-hoc networking, and enable human-swarm commanding of distributed space missions. NASA/Brandon Torres Navarrete Scaling Up Swarms in Virtual Lunar Orbit
The DSA ground-based scalability study was a simulation that placed virtual small spacecraft and rack-mounted small spacecraft flight computers in virtual lunar orbit. This simulation was designed to test the swarm’s ability to provide position, navigation, and timing services at the Moon. Similar to what the GPS system does on Earth, this technology could equip missions to the Moon with affordable navigation capabilities, and could one day help pinpoint the location of objects or astronauts on the lunar surface.
The DSA lunar Position, Navigation, and Timing study demonstrated scalability of the swarm in a simulated environment. Over a two-year period, the team ran close to one hundred tests of more complex coordination between multiple spacecraft computers in both low- and high-altitude lunar orbit and showed that a swarm of up to 60 spacecraft is feasible.
The team is further developing DSA’s capabilities to allow mission operators to interact with even larger swarms – hundreds of spacecraft – as a single entity.
Distributed Spacecraft Autonomy’s accomplishments mark a significant milestone in advancing autonomous distributed space systems that will make new types of science and exploration possible.
NASA Ames leads the Distributed Spacecraft Autonomy and Starling projects. NASA’s Game Changing Development program within the agency’s Space Technology Mission Directorate provides funding for the DSA experiment. NASA’s Small Spacecraft Technology program within the Space Technology Mission Directorate funds and manages the Starling mission and the DSA project.
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Last Updated Feb 04, 2025 Related Terms
Ames Research Center CubeSats Game Changing Development Program Small Spacecraft Technology Program Space Technology Mission Directorate Explore More
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