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By NASA
6 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
It’s been 30 years since the discovery of the first planet around another star like our Sun. With every new discovery, scientists move closer to answering whether there are other planets like Earth that could host life as we know it. NASA/JPL-Caltech The milestone highlights the accelerating rate of discoveries, just over three decades since the first exoplanets were found.
The official number of exoplanets — planets outside our solar system — tracked by NASA has reached 6,000. Confirmed planets are added to the count on a rolling basis by scientists from around the world, so no single planet is considered the 6,000th entry. The number is monitored by NASA’s Exoplanet Science Institute (NExScI), based at Caltech’s IPAC in Pasadena, California. There are more than 8,000 additional candidate planets awaiting confirmation, with NASA leading the world in searching for life in the universe.
See NASA's Exoplanet Discoveries Dashboard “This milestone represents decades of cosmic exploration driven by NASA space telescopes — exploration that has completely changed the way humanity views the night sky,” said Shawn Domagal-Goldman, acting director, Astrophysics Division, NASA Headquarters in Washington. “Step by step, from discovery to characterization, NASA missions have built the foundation to answering a fundamental question: Are we alone? Now, with our upcoming Nancy Grace Roman Space Telescope and Habitable Worlds Observatory, America will lead the next giant leap — studying worlds like our own around stars like our Sun. This is American ingenuity, and a promise of discovery that unites us all.”
Scientists have found thousands of exoplanets (planets outside our solar system) throughout the galaxy. Most can be studied only indirectly, but scientists know they vary widely, as depicted in this artist’s concept, from small, rocky worlds and gas giants to water-rich planets and those as hot as stars. NASA’s Goddard Space Flight Center The milestone comes 30 years after the first exoplanet was discovered around a star similar to our Sun, in 1995. (Prior to that, a few planets had been identified around stars that had burned all their fuel and collapsed.) Although researchers think there are billions of planets in the Milky Way galaxy, finding them remains a challenge. In addition to discovering many individual planets with fascinating characteristics as the total number of known exoplanets climbs, scientists are able to see how the general planet population compares to the planets of our own solar system.
For example, while our solar system hosts an equal number of rocky and giant planets, rocky planets appear to be more common in the universe. Researchers have also found a range of planets entirely different from those in our solar system. There are Jupiter-size planets that orbit closer to their parent star than Mercury orbits the Sun; planets that orbit two stars, no stars, and dead stars; planets covered in lava; some with the density of Styrofoam; and others with clouds made of gemstones.
“Each of the different types of planets we discover gives us information about the conditions under which planets can form and, ultimately, how common planets like Earth might be, and where we should be looking for them,” said Dawn Gelino, head of NASA’s Exoplanet Exploration Program (ExEP), located at the agency’s Jet Propulsion Laboratory in Southern California. “If we want to find out if we’re alone in the universe, all of this knowledge is essential.”
Searching for other worlds
Fewer than 100 exoplanets have been directly imaged, because most planets are so faint they get lost in the light from their parent star. The other four methods of planet detection are indirect. With the transit method, for instance, astronomers look for a star to dim for a short period as an orbiting planet passes in front of it.
To account for the possibility that something other than an exoplanet is responsible for a particular signal, most exoplanet candidates must be confirmed by follow-up observations, often using an additional telescope, and that takes time. That’s why there is a long list of candidates in the NASA Exoplanet Archive (hosted by NExScI) waiting to be confirmed.
“We really need the whole community working together if we want to maximize our investments in these missions that are churning out exoplanets candidates,” said Aurora Kesseli, the deputy science lead for the NASA Exoplanet Archive at IPAC. “A big part of what we do at NExScI is build tools that help the community go out and turn candidate planets into confirmed planets.”
The rate of exoplanet discoveries has accelerated in recent years (the database reached 5,000 confirmed exoplanets just three years ago), and this trend seems likely to continue. Kesseli and her colleagues anticipate receiving thousands of additional exoplanet candidates from the ESA (European Space Agency) Gaia mission, which finds planets through a technique called astrometry, and NASA’s upcoming Nancy Grace Roman Space Telescope, which will discover thousands of new exoplanets primarily through a technique called gravitational microlensing.
Many telescopes contribute to the search for and study of exoplanets, including some in space (artists concepts shown here) and on the ground. Doing the work are organizations around the world, including ESA (European Space Agency), CSA (Canadian Space Agency), and NSF (National Science Foundation). NASA/JPL-Caltech Future exoplanets
At NASA, the future of exoplanet science will emphasize finding rocky planets similar to Earth and studying their atmospheres for biosignatures — any characteristic, element, molecule, substance, or feature that can be used as evidence of past or present life. NASA’s James Webb Space Telescope has already analyzed the chemistry of over 100 exoplanet atmospheres.
But studying the atmospheres of planets the size and temperature of Earth will require new technology. Specifically, scientists need better tools to block the glare of the star a planet orbits. And in the case of an Earth-like planet, the glare would be significant: The Sun is about 10 billion times brighter than Earth — which would be more than enough to drown out our home planet’s light if viewed by a distant observer.
NASA has two main initiatives to try overcoming this hurdle. The Roman telescope will carry a technology demonstration instrument called the Roman Coronagraph that will test new technologies for blocking starlight and making faint planets visible. At its peak performance, the coronagraph should be able to directly image a planet the size and temperature of Jupiter orbiting a star like our Sun, and at a similar distance from that star. With its microlensing survey and coronagraphic observations, Roman will reveal new details about the diversity of planetary systems, showing how common solar systems like our own may be across the galaxy.
Additional advances in coronagraph technology will be needed to build a coronagraph that can detect a planet like Earth. NASA is working on a concept for such a mission, currently named the Habitable Worlds Observatory.
More about ExEP, NExScI
NASA’s Exoplanet Exploration Program is responsible for implementing the agency’s plans for the discovery and understanding of planetary systems around nearby stars. It acts as a focal point for exoplanet science and technology and integrates cohesive strategies for future discoveries. The science operations and analysis center for ExEP is NExScI, based at IPAC, a science and data center for astrophysics and planetary science at Caltech. JPL is managed by Caltech for NASA.
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News Media Contact
Calla Cofield
Jet Propulsion Laboratory, Pasadena, Calif.
626-808-2469
calla.e.cofield@jpl.nasa.gov
2025-119
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Last Updated Sep 17, 2025 Related Terms
Exoplanets Exoplanet Discoveries Gas Giant Exoplanets Jet Propulsion Laboratory Kepler / K2 Nancy Grace Roman Space Telescope Neptune-Like Exoplanets Super-Earth Exoplanets Terrestrial Exoplanets TESS (Transiting Exoplanet Survey Satellite) The Search for Life Explore More
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By Space Force
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By NASA
5 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Cloud cover can keep optical instruments on satellites from clearly capturing Earth’s surface. Still in testing, JPL’s Dynamic Targeting uses AI to avoid imaging clouds, yielding a higher proportion of usable data, and to focus on phenomena like this 2015 volcanic eruption in Indonesia Landsat 8 captured.NASA/USGS A technology called Dynamic Targeting could enable spacecraft to decide, autonomously and within seconds, where to best make science observations from orbit.
In a recent test, NASA showed how artificial intelligence-based technology could help orbiting spacecraft provide more targeted and valuable science data. The technology enabled an Earth-observing satellite for the first time to look ahead along its orbital path, rapidly process and analyze imagery with onboard AI, and determine where to point an instrument. The whole process took less than 90 seconds, without any human involvement.
Called Dynamic Targeting, the concept has been in development for more than a decade at NASA’s Jet Propulsion Laboratory in Southern California. The first of a series of flight tests occurred aboard a commercial satellite in mid-July. The goal: to show the potential of Dynamic Targeting to enable orbiters to improve ground imaging by avoiding clouds and also to autonomously hunt for specific, short-lived phenomena like wildfires, volcanic eruptions, and rare storms.
This graphic shows how JPL’s Dynamic Targeting uses a lookahead sensor to see what’s on a satellite’s upcoming path. Onboard algorithms process the sensor’s data, identifying clouds to avoid and targets of interest for closer observation as the satellite passes overhead.NASA/JPL-Caltech “The idea is to make the spacecraft act more like a human: Instead of just seeing data, it’s thinking about what the data shows and how to respond,” says Steve Chien, a technical fellow in AI at JPL and principal investigator for the Dynamic Targeting project. “When a human sees a picture of trees burning, they understand it may indicate a forest fire, not just a collection of red and orange pixels. We’re trying to make the spacecraft have the ability to say, ‘That’s a fire,’ and then focus its sensors on the fire.”
Avoiding Clouds for Better Science
This first flight test for Dynamic Targeting wasn’t hunting specific phenomena like fires — that will come later. Instead, the point was avoiding an omnipresent phenomenon: clouds.
Most science instruments on orbiting spacecraft look down at whatever is beneath them. However, for Earth-observing satellites with optical sensors, clouds can get in the way as much as two-thirds of the time, blocking views of the surface. To overcome this, Dynamic Targeting looks 300 miles (500 kilometers) ahead and has the ability to distinguish between clouds and clear sky. If the scene is clear, the spacecraft images the surface when passing overhead. If it’s cloudy, the spacecraft cancels the imaging activity to save data storage for another target.
“If you can be smart about what you’re taking pictures of, then you only image the ground and skip the clouds. That way, you’re not storing, processing, and downloading all this imagery researchers really can’t use,” said Ben Smith of JPL, an associate with NASA’s Earth Science Technology Office, which funds the Dynamic Targeting work. “This technology will help scientists get a much higher proportion of usable data.”
How Dynamic Targeting Works
The testing is taking place on CogniSAT-6, a briefcase-size CubeSat that launched in March 2024. The satellite — designed, built, and operated by Open Cosmos — hosts a payload designed and developed by Ubotica featuring a commercially available AI processor. While working with Ubotica in 2022, Chien’s team conducted tests aboard the International Space Station running algorithms similar to those in Dynamic Targeting on the same type of processor. The results showed the combination could work for space-based remote sensing.
Since CogniSAT-6 lacks an imager dedicated to looking ahead, the spacecraft tilts forward 40 to 50 degrees to point its optical sensor, a camera that sees both visible and near-infrared light. Once look-ahead imagery has been acquired, Dynamic Targeting’s advanced algorithm, trained to identify clouds, analyzes it. Based on that analysis, the Dynamic Targeting planning software determines where to point the sensor for cloud-free views. Meanwhile, the satellite tilts back toward nadir (looking directly below the spacecraft) and snaps the planned imagery, capturing only the ground.
This all takes place in 60 to 90 seconds, depending on the original look-ahead angle, as the spacecraft speeds in low Earth orbit at nearly 17,000 mph (7.5 kilometers per second).
What’s Next
With the cloud-avoidance capability now proven, the next test will be hunting for storms and severe weather — essentially targeting clouds instead of avoiding them. Another test will be to search for thermal anomalies like wildfires and volcanic eruptions. The JPL team developed unique algorithms for each application.
“This initial deployment of Dynamic Targeting is a hugely important step,” Chien said. “The end goal is operational use on a science mission, making for a very agile instrument taking novel measurements.”
There are multiple visions for how that could happen — possibly even on spacecraft exploring the solar system. In fact, Chien and his JPL colleagues drew some inspiration for their Dynamic Targeting work from another project they had also worked on: using data from ESA’s (the European Space Agency’s) Rosetta orbiter to demonstrate the feasibility of autonomously detecting and imaging plumes emitted by comet 67P/Churyumov-Gerasimenko.
On Earth, adapting Dynamic Targeting for use with radar could allow scientists to study dangerous extreme winter weather events called deep convective ice storms, which are too rare and short-lived to closely observe with existing technologies. Specialized algorithms would identify these dense storm formations with a satellite’s look-ahead instrument. Then a powerful, focused radar would pivot to keep the ice clouds in view, “staring” at them as the spacecraft speeds by overhead and gathers a bounty of data over six to eight minutes.
Some ideas involve using Dynamic Targeting on multiple spacecraft: The results of onboard image analysis from a leading satellite could be rapidly communicated to a trailing satellite, which could be tasked with targeting specific phenomena. The data could even be fed to a constellation of dozens of orbiting spacecraft. Chien is leading a test of that concept, called Federated Autonomous MEasurement, beginning later this year.
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Melissa Pamer
Jet Propulsion Laboratory, Pasadena, Calif.
626-314-4928
melissa.pamer@jpl.nasa.gov
2025-094
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Last Updated Jul 24, 2025 Related Terms
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By Space Force
The U.S. Space Force’s Space Operations Command accepted a modernized operating system for Global Positioning System, which is designed to maintain resiliency of the constellation and improve positioning, navigation and timing services to meet user demand now and in the future.
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By NASA
A NASA-sponsored team is creating a new approach to measure magnetic fields by developing a new system that can both take scientific measurements and provide spacecraft attitude control functions. This new system is small, lightweight, and can be accommodated onboard the spacecraft, eliminating the need for the boom structure that is typically required to measure Earth’s magnetic field, thus allowing smaller, lower-cost spacecraft to take these measurements. In fact, this new system could not only enable small spacecraft to measure the magnetic field, it could replace the standard attitude control systems in future spacecraft that orbit Earth, allowing them to provide the important global measurements that enable us to understand how Earth’s magnetic field protects us from dangerous solar particles.
Photo of the aurora (taken in Alaska) showing small scale features that are often present. Credit: NASA/Sebastian Saarloos
Solar storms drive space weather that threatens our many assets in space and can also disrupt Earth’s upper atmosphere impacting our communications and power grids. Thankfully, the Earth’s magnetic field protects us and funnels much of that energy into the north and south poles creating aurorae. The aurorae are a beautiful display of the electromagnetic energy and currents that flow throughout the Earth’s space environment. They often have small-scale magnetic features that affect the total energy flowing through the system. Observing these small features requires multiple simultaneous observations over a broad range of spatial and temporal scales, which can be accomplished by constellations of small spacecraft.
To enable such constellations, NASA is developing an innovative hybrid magnetometer that makes both direct current (DC) and alternating current (AC) magnetic measurements and is embedded in the spacecraft’s attitude determination and control system (ADCS)—the system that enables the satellite to know and control where it is pointing. High-performance, low SWAP+C (low-size, weight and power + cost) instruments are required, as is the ability to manufacture and test large numbers of these instruments within a typical flight build schedule. Future commercial or scientific satellites could use these small, lightweight embedded hybrid magnetometers to take the types of measurements that will expand our understanding of space weather and how Earth’s magnetic field responds to solar storms
It is typically not possible to take research-quality DC and AC magnetic measurements using sensors within an ADCS since the ADCS is inside the spacecraft and near contaminating sources of magnetic noise such as magnetic torque rods—the electromagnets that generate a magnetic field and push against the Earth’s magnetic field to control the orientation of a spacecraft. Previous missions that have flown both DC and AC magnetometers placed them on long booms pointing in opposite directions from the satellite to keep the sensors as far from the spacecraft and each other as possible. In addition, the typical magnetometer used by an ADCS to measure the orientation of the spacecraft with respect to the geomagnetic field does not sample fast enough to measure the high-frequency signals needed to make magnetic field observations.
A NASA-sponsored team at the University of Michigan is developing a new hybrid magnetometer and attitude determination and control system (HyMag-ADCS) that is a low-SWAP single package that can be integrated into a spacecraft without booms. HyMag-ADCS consists of a three-axis search coil AC magnetometer and a three-axis Quad-Mag DC magnetometer. The Quad-Mag DC magnetometer uses machine learning to enable boomless DC magnetometery, and the hybrid search-coil AC magnetometer includes attitude determination torque rods to enable the single 1U volume (103 cm) system to perform ADCS functions as well as collect science measurements.
The magnetic torque rod and search coil sensor (left) and the Quad-Mag magnetometer prototype (right). Credit: Mark Moldwin The HyMag-ADCS team is incorporating the following technologies into the system to ensure success.
Quad-Mag Hardware: The Quad-Mag DC magnetometer consists of four magneto-inductive magnetometers and a space-qualified micro-controller mounted on a single CubeSat form factor (10 x 10 cm) printed circuit board. These two types of devices are commercially available. Combining multiple sensors on a single board increases the instrument’s sensitivity by a factor of two compared to using a single sensor. In addition, the distributed sensors enable noise identification on small satellites, providing the science-grade magnetometer sensing that is key for both magnetic field measurements and attitude determination. The same type of magnetometer is part of the NASA Artemis Lunar Gateway Heliophysics Environmental and Radiation Measurement Experiment Suite (HERMES) Noisy Environment Magnetometer in a Small Integrated System (NEMISIS) magnetometer scheduled for launch in early 2027.
Dual-use Electromagnetic Rods: The HyMag-ADCS team is using search coil electronics and torque rod electronics that were developed for other efforts in a new way. Use of these two electronics systems enables the electromagnetic rods in the HyMag-ADCS system to be used in two different ways—as torque rods for attitude determination and as search coils to make scientific measurements. The search coil electronics were designed for ground-based measurements to observe ultra-low frequency signals up to a few kHz that are generated by magnetic beacons for indoor localization. The torque rod electronics were designed for use on CubeSats and have flown on several University of Michigan CubeSats (e.g., CubeSat-investigating Atmospheric Density Response to Extreme driving [CADRE]). The HyMag-ADCS concept is to use the torque rod electronics as needed for attitude control and use the search coil electronics the rest of the time to make scientific AC magnetic field measurements.
Machine Learning Algorithms for Spacecraft Noise Identification: Applying machine learning to these distributed sensors will autonomously remove noise generated by the spacecraft. The team is developing a powerful Unsupervised Blind Source Separation (UBSS) algorithm and a new method called Wavelet Adaptive Interference Cancellation for Underdetermined Platforms (WAIC-UP) to perform this task, and this method has already been demonstrated in simulation and the lab.
The HyMag-ADCS system is early in its development stage, and a complete engineering design unit is under development. The project is being completed primarily with undergraduate and graduate students, providing hands-on experiential training for upcoming scientists and engineers.
Early career electrical engineer Julio Vata and PhD student Jhanene Heying-Melendrez with art student resident Ana Trujillo Garcia in the magnetometer lab testing prototypes. Credit: Mark Moldwin For additional details, see the entry for this project on NASA TechPort .
Project Lead: Prof. Mark Moldwin, University of Michigan
Sponsoring Organization: NASA Heliophysics Division’s Heliophysics Technology and Instrument Development for Science (H-TIDeS) program.
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Last Updated Jun 17, 2025 Related Terms
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