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Hubble Provides Infrared View of Moon, Ring, and Clouds
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By NASA
Explore Hubble Hubble Home Overview About Hubble The History of Hubble Hubble Timeline Why Have a Telescope in Space? Hubble by the Numbers At the Museum FAQs Impact & Benefits Hubble’s Impact & Benefits Science Impacts Cultural Impact Technology Benefits Impact on Human Spaceflight Astro Community Impacts Science Hubble Science Science Themes Science Highlights Science Behind Discoveries Hubble’s Partners in Science Universe Uncovered Explore the Night Sky Observatory Hubble Observatory Hubble Design Mission Operations Missions to Hubble Hubble vs Webb Team Hubble Team Career Aspirations Hubble Astronauts Multimedia Multimedia Images Videos Sonifications Podcasts e-Books Online Activities 3D Hubble Models Lithographs Fact Sheets Posters Hubble on the NASA App Glossary News Hubble News Social Media Media Resources More 35th Anniversary Online Activities 2 min read
Hubble Images Galaxies Near and Far
This NASA/ESA Hubble Space Telescope image features the remote galaxy HerS 020941.1+001557, which appears as a red arc that partially encircles a foreground elliptical galaxy. ESA/Hubble & NASA, H. Nayyeri, L. Marchetti, J. Lowenthal This NASA/ESA Hubble Space Telescope image offers us the chance to see a distant galaxy now some 19.5 billion light-years from Earth (but appearing as it did around 11 billion years ago, when the galaxy was 5.5 billion light-years away and began its trek to us through expanding space). Known as HerS 020941.1+001557, this remote galaxy appears as a red arc partially encircling a foreground elliptical galaxy located some 2.7 billion light-years away. Called SDSS J020941.27+001558.4, the elliptical galaxy appears as a bright dot at the center of the image with a broad haze of stars outward from its core. A third galaxy, called SDSS J020941.23+001600.7, seems to be intersecting part of the curving, red crescent of light created by the distant galaxy.
The alignment of this trio of galaxies creates a type of gravitational lens called an Einstein ring. Gravitational lenses occur when light from a very distant object bends (or is ‘lensed’) around a massive (or ‘lensing’) object located between us and the distant lensed galaxy. When the lensed object and the lensing object align, they create an Einstein ring. Einstein rings can appear as a full or partial circle of light around the foreground lensing object, depending on how precise the alignment is. The effects of this phenomenon are much too subtle to see on a local level but can become clearly observable when dealing with curvatures of light on enormous, astronomical scales.
Gravitational lenses not only bend and distort light from distant objects but magnify it as well. Here we see light from a distant galaxy following the curve of spacetime created by the elliptical galaxy’s mass. As the distant galaxy’s light passes through the gravitational lens, it is magnified and bent into a partial ring around the foreground galaxy, creating a distinctive Einstein ring shape.
The partial Einstein ring in this image is not only beautiful, but noteworthy. A citizen scientist identified this Einstein ring as part of the SPACE WARPS project that asked citizen scientists to search for gravitational lenses in images.
Text Credit: ESA/Hubble
Facebook logo @NASAHubble @NASAHubble Instagram logo @NASAHubble Media Contact:
Claire Andreoli (claire.andreoli@nasa.gov)
NASA’s Goddard Space Flight Center, Greenbelt, MD
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Last Updated May 20, 2025 Editor Andrea Gianopoulos Location NASA Goddard Space Flight Center Related Terms
Hubble Space Telescope Astrophysics Astrophysics Division Galaxies Goddard Space Flight Center Gravitational Lensing Keep Exploring Discover More Topics From Hubble
Hubble Space Telescope
Since its 1990 launch, the Hubble Space Telescope has changed our fundamental understanding of the universe.
Hubble Gravitational Lenses
Focusing in on Gravitational Lenses
Hubble’s Night Sky Challenge
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By NASA
Explore Hubble Hubble Home Overview About Hubble The History of Hubble Hubble Timeline Why Have a Telescope in Space? Hubble by the Numbers At the Museum FAQs Impact & Benefits Hubble’s Impact & Benefits Science Impacts Cultural Impact Technology Benefits Impact on Human Spaceflight Astro Community Impacts Science Hubble Science Science Themes Science Highlights Science Behind Discoveries Hubble’s Partners in Science Universe Uncovered Explore the Night Sky Observatory Hubble Observatory Hubble Design Mission Operations Missions to Hubble Hubble vs Webb Team Hubble Team Career Aspirations Hubble Astronauts Multimedia Multimedia Images Videos Sonifications Podcasts e-Books Online Activities 3D Hubble Models Lithographs Fact Sheets Posters Hubble on the NASA App Glossary News Hubble News Social Media Media Resources More 35th Anniversary Online Activities 2 min read
Hubble Captures Cotton Candy Clouds
This NASA/ESA Hubble Space Telescope image features a cloudscape in the Large Magellanic Cloud., a dwarf satellite galaxy of the Milky Way. ESA/Hubble & NASA, C. Murray This NASA/ESA Hubble Space Telescope image features a sparkling cloudscape from one of the Milky Way’s galactic neighbors, a dwarf galaxy called the Large Magellanic Cloud. Located 160,000 light-years away in the constellations Dorado and Mensa, the Large Magellanic Cloud is the largest of the Milky Way’s many small satellite galaxies.
This view of dusty gas clouds in the Large Magellanic Cloud is possible thanks to Hubble’s cameras, such as the Wide Field Camera 3 (WFC3) that collected the observations for this image. WFC3 holds a variety of filters, and each lets through specific wavelengths, or colors, of light. This image combines observations made with five different filters, including some that capture ultraviolet and infrared light that the human eye cannot see.
The wispy gas clouds in this image resemble brightly colored cotton candy. When viewing such a vividly colored cosmic scene, it is natural to wonder whether the colors are ‘real’. After all, Hubble, with its 7.8-foot-wide (2.4 m) mirror and advanced scientific instruments, doesn’t bear resemblance to a typical camera! When image-processing specialists combine raw filtered data into a multi-colored image like this one, they assign a color to each filter. Visible-light observations typically correspond to the color that the filter allows through. Shorter wavelengths of light such as ultraviolet are usually assigned blue or purple, while longer wavelengths like infrared are typically red.
This color scheme closely represents reality while adding new information from the portions of the electromagnetic spectrum that humans cannot see. However, there are endless possible color combinations that can be employed to achieve an especially aesthetically pleasing or scientifically insightful image.
Watch “How Hubble Images are Made” on YouTube
Facebook logo @NASAHubble @NASAHubble Instagram logo @NASAHubble Media Contact:
Claire Andreoli (claire.andreoli@nasa.gov)
NASA’s Goddard Space Flight Center, Greenbelt, MD
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Last Updated May 15, 2025 Editor Andrea Gianopoulos Location NASA Goddard Space Flight Center Related Terms
Hubble Space Telescope Astrophysics Astrophysics Division Emission Nebulae Goddard Space Flight Center Nebulae The Universe Keep Exploring Discover More Topics From Hubble
Hubble Space Telescope
Since its 1990 launch, the Hubble Space Telescope has changed our fundamental understanding of the universe.
Hubble’s Nebulae
Science Behind the Discoveries
Hubble’s Night Sky Challenge
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By NASA
NASA named Stanford University of California winner of the Lunar Autonomy Challenge, a six-month competition for U.S. college and university student teams to virtually map and explore using a digital twin of NASA’s In-Situ Resource Utilization Pilot Excavator (IPEx).
The winning team successfully demonstrated the design and functionality of their autonomous agent, or software that performs specified actions without human intervention. Their agent autonomously navigated the IPEx digital twin in the virtual lunar environment, while accurately mapping the surface, correctly identifying obstacles, and effectively managing available power.
Lunar simulation developed by the winning team of the Lunar Autonomy Challenge’s first place team from Stanford University.Credit: Stanford University’s NAV Lab team Lunar simulation developed by the winning team of the Lunar Autonomy Challenge’s first place team from Stanford University.Credit: Stanford University’s NAV Lab team Team photo of NAV Lab Lunar Autonomy Challenge from Stanford UniversityCredit: Stanford University’s NAV Lab team The Lunar Autonomy Challenge has been a truly unique experience. The challenge provided the opportunity to develop and test methods in a highly realistic simulation environment."
Adam dai
Lunar Autonomy Challenge team lead, Stanford University
Dai added, “It pushed us to find solutions robust to the harsh conditions of the lunar surface. I learned so much through the challenge, both about new ideas and methods, as well as through deepening my understanding of core methods across the autonomy stack (perception, localization, mapping, planning). I also very much enjoyed working together with my team to brainstorm different approaches and strategies and solve tangible problems observed in the simulation.”
The challenge offered 31 teams a valuable opportunity to gain experience in software development, autonomy, and machine learning using cutting-edge NASA lunar technology. Participants also applied essential skills common to nearly every engineering discipline, including technical writing, collaborative teamwork, and project management.
The Lunar Autonomy Challenge supports NASA’s Lunar Surface Innovation Initiative (LSII), which is part of the Space Technology Mission Directorate. The LSII aims to accelerate technology development and pursue results that will provide essential infrastructure for lunar exploration by collaborating with industry, academia, and other government agencies.
The work displayed by all of these teams has been impressive, and the solutions they have developed are beneficial to advancing lunar and Mars surface technologies as we prepare for increasingly complex missions farther from home.”
Niki Werkheiser
Director of Technology Maturation and LSII lead, NASA Headquarters
“To succeed, we need input from everyone — every idea counts to propel our goals forward. It is very rewarding to see these students and software developers contributing their skills to future lunar and Mars missions,” Werkheiser added.
Through the Lunar Autonomy Challenge, NASA collaborated with the Johns Hopkins Applied Physics Laboratory, Caterpillar Inc., and Embodied AI. Each team contributed unique expertise and tools necessary to make the challenge a success.
The Applied Physics Laboratory managed the challenge for NASA. As a systems integrator for LSII, they provided expertise to streamline rigor and engineering discipline across efforts, ensuring the development of successful, efficient, and cost-effective missions — backed by the world’s largest cohort of lunar scientists.
Caterpillar Inc. is known for its construction and excavation equipment and operates a large fleet of autonomous haul trucks. They also have worked with NASA for more than 20 years on a variety of technologies, including autonomy, 3D printing, robotics, and simulators as they continue to collaborate with NASA on technologies that support NASA’s mission objectives and provide value to the mining and construction industries.
Embodied AI collaborated with Caterpillar to integrate the simulation into the open-source driving environment used for the challenge. For the Lunar Autonomy Challenge, the normally available digital assets of the CARLA simulation platform, such as urban layouts, buildings, and vehicles, were replaced by an IPEx “Digital Twin” and lunar environmental models.
“This collaboration is a great example of how the government, large companies, small businesses, and research institutions can thoughtfully leverage each other’s different, but complementary, strengths,” Werkheiser added. “By substantially modernizing existing tools, we can turn today’s novel technologies into tomorrow’s institutional capabilities for more efficient and effective space exploration, while also stimulating innovation and economic growth on Earth.”
FINALIST TEAMS
First Place
NAV Lab team
Stanford University, Stanford, California
Second Place
MAPLE (MIT Autonomous Pathfinding for Lunar Exploration) team
Massachusetts Institute of Technology, Cambridge, MA
Third Place
Moonlight team
Carnegie Mellon University, Pittsburgh, PA
OTHER COMPETING TEAMS
Lunar ExplorersArizona State UniversityTempe, ArizonaAIWVU West Virginia University Morgantown, West VirginiaStellar Sparks California Polytechnic Institute Pomona Pomona, California LunatiX Johns Hopkins University Whiting School of EngineeringBaltimore CARLA CSU California State University, Stanislaus Turlock, CaliforniaRose-Hulman Rose-Hulman Institute of Technology Terre Haute, IndianaLunar PathfindersAmerican Public University SystemCharles Town, West Virginia Lunar Autonomy Challenge digital simulation of lunar surface activity using a digital twin of NASA’s ISRU Pilot ExcavatorJohns Hopkins Applied Physics Laboratory Keep Exploring Discover More Topics From NASA
Space Technology Mission Directorate
NASA’s Lunar Surface Innovation Initiative
Game Changing Development Projects
Game Changing Development projects aim to advance space technologies, focusing on advancing capabilities for going to and living in space.
ISRU Pilot Excavator
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By NASA
6 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Sunlight reflects off the ocean surface near Norfolk, Virginia, in this 1991 space shuttle image, highlighting swirling patterns created by features such as internal waves, which are produced when the tide moves over underwater features. Data from the international SWOT mission is revealing the role of smaller-scale waves and eddies.NASA The international mission collects two-dimensional views of smaller waves and currents that are bringing into focus the ocean’s role in supporting life on Earth.
Small things matter, at least when it comes to ocean features like waves and eddies. A recent NASA-led analysis using data from the SWOT (Surface Water and Ocean Topography) satellite found that ocean features as small as a mile across potentially have a larger impact on the movement of nutrients and heat in marine ecosystems than previously thought.
Too small to see well with previous satellites but too large to see in their entirety with ship-based instruments, these relatively small ocean features fall into a category known as the submesoscale. The SWOT satellite, a joint effort between NASA and the French space agency CNES (Centre National d’Études Spatiales), can observe these features and is demonstrating just how important they are, driving much of the vertical transport of things like nutrients, carbon, energy, and heat within the ocean. They also influence the exchange of gases and energy between the ocean and atmosphere.
“The role that submesoscale features play in ocean dynamics is what makes them important,” said Matthew Archer, an oceanographer at NASA’s Jet Propulsion Laboratory in Southern California. Some of these features are called out in the animation below, which was created using SWOT sea surface height data.
This animation shows small ocean features — including internal waves and eddies — derived from SWOT observations in the Indian, Atlantic, and Pacific oceans, as well as the Mediterranean Sea. White and lighter blue represent higher ocean surface heights compared to darker blue areas. The purple colors shown in one location represent ocean current speeds.
NASA’s Scientific Visualization Studio “Vertical currents move heat between the atmosphere and ocean, and in submesoscale eddies, can actually bring up heat from the deep ocean to the surface, warming the atmosphere,” added Archer, who is a coauthor on the submesoscale analysis published in April in the journal Nature. Vertical circulation can also bring up nutrients from the deep sea, supplying marine food webs in surface waters like a steady stream of food trucks supplying festivalgoers.
“Not only can we see the surface of the ocean at 10 times the resolution of before, we can also infer how water and materials are moving at depth,” said Nadya Vinogradova Shiffer, SWOT program scientist at NASA Headquarters in Washington.
Fundamental Force
Researchers have known about these smaller eddies, or circular currents, and waves for decades. From space, Apollo astronauts first spotted sunlight glinting off small-scale eddies about 50 years ago. And through the years, satellites have captured images of submesoscale ocean features, providing limited information such as their presence and size. Ship-based sensors or instruments dropped into the ocean have yielded a more detailed view of submesoscale features, but only for relatively small areas of the ocean and for short periods of time.
The SWOT satellite measures the height of water on nearly all of Earth’s surface, including the ocean and freshwater bodies, at least once every 21 days. The satellite gives researchers a multidimensional view of water levels, which they can use to calculate, for instance, the slope of a wave or eddy. This in turn yields information on the amount of pressure, or force, being applied to the water in the feature. From there, researchers can figure out how fast a current is moving, what’s driving it and —combined with other types of information — how much energy, heat, or nutrients those currents are transporting.
“Force is the fundamental quantity driving fluid motion,” said study coauthor Jinbo Wang, an oceanographer at Texas A&M University in College Station. Once that quantity is known, a researcher can better understand how the ocean interacts with the atmosphere, as well as how changes in one affect the other.
Prime Numbers
Not only was SWOT able to spot a submesoscale eddy in an offshoot of the Kuroshio Current — a major current in the western Pacific Ocean that flows past the southeast coast of Japan — but researchers were also able to estimate the speed of the vertical circulation within that eddy. When SWOT observed the feature, the vertical circulation was likely 20 to 45 feet (6 to 14 meters) per day.
This is a comparatively small amount for vertical transport. However, the ability to make those calculations for eddies around the world, made possible by SWOT, will improve researchers’ understanding of how much energy, heat, and nutrients move between surface waters and the deep sea.
Researchers can do similar calculations for such submesoscale features as an internal solitary wave — a wave driven by forces like the tide sloshing over an underwater plateau. The SWOT satellite spotted an internal wave in the Andaman Sea, located in the northeastern part of the Indian Ocean off Myanmar. Archer and colleagues calculated that the energy contained in that solitary wave was at least twice the amount of energy in a typical internal tide in that region.
This kind of information from SWOT helps researchers refine their models of ocean circulation. A lot of ocean models were trained to show large features, like eddies hundreds of miles across, said Lee Fu, SWOT project scientist at JPL and a study coauthor. “Now they have to learn to model these smaller scale features. That’s what SWOT data is helping with.”
Researchers have already started to incorporate SWOT ocean data into some models, including NASA’s ECCO (Estimating the Circulation and Climate of the Ocean). It may take some time until SWOT data is fully a part of models like ECCO. But once it is, the information will help researchers better understand how the ocean ecosystem will react to a changing world.
More About SWOT
The SWOT satellite was jointly developed by NASA and CNES, with contributions from the Canadian Space Agency (CSA) and the UK Space Agency. Managed for NASA by Caltech in Pasadena, California, JPL leads the U.S. component of the project. For the flight system payload, NASA provided the Ka-band radar interferometer (KaRIn) instrument, a GPS science receiver, a laser retroreflector, a two-beam microwave radiometer, and NASA instrument operations. The Doppler Orbitography and Radioposition Integrated by Satellite system, the dual frequency Poseidon altimeter (developed by Thales Alenia Space), the KaRIn radio-frequency subsystem (together with Thales Alenia Space and with support from the UK Space Agency), the satellite platform, and ground operations were provided by CNES. The KaRIn high-power transmitter assembly was provided by CSA.
To learn more about SWOT, visit:
https://swot.jpl.nasa.gov
News Media Contacts
Jane J. Lee / Andrew Wang
Jet Propulsion Laboratory, Pasadena, Calif.
626-491-1943 / 626-379-6874
jane.j.lee@jpl.nasa.gov / andrew.wang@jpl.nasa.gov
2025-070
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Last Updated May 15, 2025 Related Terms
SWOT (Surface Water and Ocean Topography) Jet Propulsion Laboratory Oceanography Oceans Explore More
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Space Cloud Watch Needs Your Photos of Night-Shining Clouds
Noctilucent Clouds observed from Bozeman, MT on 16 July 2009 at 4:29 MDT. The Space Cloud Watch project needs more photos like this one to diagnose changes in our atmosphere! Photo credit: Dr. Joseph A Shaw Noctilucent or night-shining clouds are rare, high-altitude clouds that glow with a blue silvery hue at dusk or dawn when the sun shines on them from below the horizon. These ice clouds typically occur near the north and south poles but are increasingly being reported at mid- and low latitudes. Observing them helps scientists better understand how human activities may affect our atmosphere.
Now, the Space Cloud Watch project is asking you to report your own observations of noctilucent clouds and upload your own photographs. Combined with satellite data and model simulations, your data can help us figure out why these noctilucent clouds are suddenly appearing at mid-low latitudes, where temperatures are usually too warm for them to form.
“I find these clouds fascinating and can’t wait to see the amazing pictures,” said project lead Dr. Chihoko Cullens from the University of Colorado, Boulder Laboratory for Atmospheric and Space Physics.
Did you see or photograph any night-shining clouds? Upload them here. Later, the science team will transfer them to a site on the Zooniverse platform where you or other volunteers can help examine them and identify wave structures in the cloud images.
If you love clouds, NASA has more citizen science projects for you. Try Cloudspotting on Mars, Cloudspotting on Mars: Shapes, or GLOBE Observer Clouds!
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Last Updated May 15, 2025 Related Terms
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