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Solid State Quantum Magnetometers—Seeking out water worlds from the quantum world


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Solid State Quantum Magnetometers—Seeking out water worlds from the quantum world

On the left side, a white moon covered in ice with reddish ridges. One-eighth of the moon has been cut out to show spherical layers below the moon’s surface, from outside to center: Ice Shell-Ocean-Interior Core. On the right side, the same moon with straight magnetic field lines from bottom left to top right. Close to the moon, the field lines are bent.
Left: Jupiter’s moon Europa and its presumed interior. A thick ice shell covers a planetary saltwater ocean, presumed to hold twice as much water as Earth’s oceans. Right: Simulation of the ocean bending the magnetic field lines emitted by Jupiter that are close to Europa
Image credit: C. Cochrane/ NASA/JPL-Caltech

“Follow the water!”  The solar system is full of water in different states, from the Sun’s water vapor to the ice of Pluto and beyond. Water is not only linked to the possibility to sustain life, it is also interesting for its own geological properties and potential uses. For example, ice on the Moon and Mars could support human exploration. Comets that hit Earth may have deposited water on our planet. The icy comets and rings of Saturn reveal how solar systems change over time.

Liquid water, however, has a special role in enabling life. Scientists have discovered indications that liquid water might exist on a number of moons orbiting our solar system’s gas and ice giants. The mantra of the astrobiology community is to “Follow the Water” to find life, so subsurface oceans on Jupiter’s Europa, Saturn’s Enceladus, and other moons are compelling targets for future missions.

However, looking beneath the miles-thick ice crusts of these planetary bodies with conventional remote-sensing instruments, like cameras and radar, is challenging. Until we can send landers or rovers that drill or melt through the ice, we can use other techniques to track down these enormous, but elusive, water bodies. One method—Magnetometry—stands out since magnetic fields penetrate solid material and can therefore provide information about the interior of planet-sized bodies.

Briny water conducts electricity; therefore, a saltwater ocean can function as a planet-sized electric circuit. The strong rotating magnetic field of the parent planet of an ocean world can induce an electric current in this “circuit,” which in turn disturbs and modifies the magnetic field near the ocean world under investigation. These magnetic field disturbances can be observed from a spacecraft and may indicate the presence of liquid water. For example, a distortion of Jupiter’s magnetic field in the vicinity of Europa was measured by the magnetometer on NASA’s Galileo mission, providing further evidence for the initial suspicions of a water ocean under that moon’s icy crust.

A bright green laser beam is hitting a tiny glassy cube. The bottom photo shows the same setup, but with a large circular filter added in front of the glassy cube. The laser beam is invisible behind the filter, the glassy cube emits a reddish glow.
The heart of optically pumped quantum magnetometers: a diamond crystal enriched with color centers. Unlike many other quantum systems, diamond and SiC solid state quantum color centers operate at room temperature and can be readily accessed electrically or optically. The bottom photo, filtering the laser light for the observer, shows the red-shifted emission response of the quantum system. This response is encoded with quantum spin information, and can be used to read environmental influences, such as temperature, pressure, electric and, most importantly for us, magnetic field properties.
Image credit A. Gottscholl/ NASA/JPL-Caltech

Solid-state quantum magnetometers are an upcoming instrument class promising to measure magnetic fields at competitive sensitivities, while offering lower size, weight, and power footprints. In addition, these instruments offer quantum benefits like self-calibration on spin-nuclear quantum interaction, which means that the magnetometer can compensate for drifts over time. This capability is especially important for decades-long missions to the outer ice-giants. Other solid-state quantum advantages include radiation resilience and an inherent ability to withstand very high/low temperatures.

Solid-state quantum magnetometers leverage quantum color centers located in semiconductors such as diamond and silicon carbide. Color centers are defects in the crystal lattice—for example, a missing atom or a different atom replacing a crystal atom. In everyday life, color centers give crystals their color, but they can also be probed on the quantum level using modulated light. Due to their quantum spin properties these color centers are sensitive to environmental magnetic fields. As these color centers are exposed to varying magnetic fields, the changing quantum spin properties can be read electrically and/or optically, providing insight into the magnetic field properties and enabling us to detect the presence of water.

Research teams at NASA’s Jet Propulsion Laboratory are developing two magnetometers to measure spin properties from space. The incredibly simple but elegant SiCMAG (Silicon Carbide Magnetometer, Lead Dr. Corey J. Cochrane) instrument reads spin properties electrically, while the OPuS-MAGNM (optically pumped solid state quantum magnetometer, Lead Dr. Hannes Kraus) promises access to higher sensitivities through the addition of optics. Optically pumped here means that the quantum system is pumped with green (diamond) or deep red (silicon carbide) laser light, and the system’s response is read with a light detector.

According to Dr. Kraus, “Novel quantum sensors not only enable new science, but also offer the chance to downscale former flagship-class instrumentation to a size and cost allowing flagship-class science on CubeSat-class platforms.”

NASA has been funding solid state quantum magnetometer sensor research through its PICASSO (Planetary Instrument Concepts for the Advancement of Solar System Observations) program since 2016. A variety of domestic partners from industry and academia support this research, including NASA’s Glenn Research Center in Cleveland, the University of Iowa, Q-Cat LLC and QuantCAD LLC, as well as international partners such as Japan’s National Institutes for Quantum Science and Technology (QST Japan) and ETH Zurich, a public research university in Zurich, Switzerland.

Two smiling team members stand on either side of an optical table with multiple instruments and a barrel-shaped open chamber.
PI Dr. Kraus (left) and postdoctoral researcher Dr. Andreas Gottscholl (right) in the JPL Quantum Magnetometer lab, with the optically detected magnetic resonance (ODMR) spectrometer apparatus—a larger-scale stepping stone towards a miniaturized integrated magnetometer instrument—built by Dr. Gottscholl in the background. The optically pumped quantum sensor crystals (not visible here, as the sensor itself is only millimeters in size) are located in the concentric barrel-shaped four-layer µ-metal chamber, which is capable of shielding the Earth’s and other magnetic field disturbances by a factor of 100,000.
Image Credit H. Kraus/ NASA/JPL-Caltech

Acknowledgment: The research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (80NM0018D0004).

PROJECT LEAD

Dr. Hannes Kraus, Dr. Corey Cochrane, Jet Propulsion Laboratory/California Institute of Technology

SPONSORING ORGANIZATION

Science Mission Directorate PICASSO, JPL R&D funding

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      At the moment, this measurement has no ground-based equivalent. Therefore, field experiments with airborne instruments and ground sampling teams are needed to firmly establish the product as a new observational capability for global ecology.
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      Figure 5. SMAP-based soil moisture estimates for California, Nevada, Arkansas, Mississippi, and Louisiana, used by the U.S. Department of Agriculture’s (USDA) National Agricultural Statistics Service (NASS) in their weekly report covering November 14–20, 2022. These data are available for selected states at the NASS website linked in the text. Figure Credit: NASS SMAP Radio Frequency Interference Detection and Mitigation
      Although SMAP operates within the protected frequency allocation of 1400–1427 MHz, the radiometer has been impacted by radio frequency interference over the mission lifetime. Unauthorized in-band transmitters as well as out-of-band emissions from transmitters operating adjacent to the allocated spectrum have been observed in SMAP measurements since its launch. The previously launched SMOS and Aquarius radiometers provide evidence of global RFI at L-band. Consequently, SMAP was designed to incorporate a novel onboard digital detector on the back end to enable detection and filtering of RFI. The radiometer produces science data in time and frequency, enabling the use of multiple RFI detection methods in the ground processing software.
      On-orbit data demonstrate that the RFI detection and filtering performs well and improves the quality of SMAP brightness temperature measurements. The algorithms are most effective at filtering RFI that is sparse in time and frequency, with minimal impact on the noise equivalent delta temperature (NEDT) – a measure of the radiometer sensitivity. Some areas of the globe remain problematic as RFI that is very high level and persistent results in high percentages of data loss due to removal of contaminated data. A global map of RFI detection rate for January 2025 shows a large contrast between Eastern and Western Hemispheres and between Northern and Southern Hemispheres – see Figure 6. Regions of isolated RFI and severe RFI correspond to populated areas. A detection rate of 100% means all pixels are flagged and removed, resulting in data loss. Analysis of spectral information reveal many sources are likely terrestrial radar systems; however, many wideband, high-level sources and low-level, non-radar sources also persist. Over areas of geopolitical conflict, the time-frequency data show interference covering the entire radiometer receiver bandwidth.
      Figure 6. Percentage of pixels on a 0.25° grid for January 2025 that have been flagged for removal by the Soil Moisture Active Passive radio frequency interference detection algorithms. Figure Credit: Priscilla N. Mohammed [GSFC] The RFI challenge is further addressed through official spectrum management channels and formal reports that include the geolocated coordinates of sources, interference levels, frequency of occurrence during the observed period, and spectral information – all of which aid field agents as they work to identify potential offenders. Reports are submitted to the NASA Spectrum office and then forwarded to the country of interest through the Satellite Interference Reporting and Resolution System.
      SMAP Science Data Products
      The current suite of SMAP science data products is available in the Table. The principal data products are grouped in four levels designated as L1–4. The L1 products are instrument L-band brightness temperature in Kelvin and include all four Stokes parameters (i.e., horizonal and vertical polarization as well as third and fourth Stokes). Both 6:00 AM equatorial crossing (descending) and 6:00 PM equatorial crossing (ascending data) are contained in the products. The user has access to quality flags of the conditions under which measurements are available for each project. The L1B products are time-ordered and include fore and aft measurements. L1C products are on the Equal-Area Scalable Earth V2 (EASE2) grid with polar and global projections. L2 data products are geophysical retrievals (i.e., soil moisture, VOD, and binary freeze/thaw classification on a fixed Earth grid). The L2 half-orbit products are available to the public within a day of acquisition. L3 products are daily composites and include all half-orbits for that day.
      The SMAP project also produces L4 data that are the result of data assimilation. The L4 products take advantage of other environmental observations, such as precipitation, air temperature and humidity, radiative fluxes at the land surface, and ancillary land use and soil texture information, to produce estimates of surface [nominally 0–5 cm (0–2 in)] and subsurface (e.g., root-zone up to a meter) soil moisture. The data assimilation system is a merger of model and measurements and hence resolves the diurnal cycle of land surface conditions. The data assimilation system also provides estimates of surface fluxes of carbon, energy, and water, such as evaporation, runoff, gross primary productivity (GPP), and respiration. The difference between GPP and respiration is the net ecosystem exchange, which is the net source/sink of the carbon cycle over land.
      The SMAP suite of products also include near-real-time (NRT) brightness temperature and soil moisture products for use in operational weather forecast applications. The NRT product targets delivery to users within three hours of measurement acquisition. The NRT uses predicted SMAP antenna pointing (instead of telemetry) and model predicted ancillary data (soil temperature) in order to support operational centers that require more than three hours of data products for updating weather forecast models. To date SMAP has met its required and target (for NRT) latency requirements.
      Two other data projects merge synergistically with other (colocated) satellite measurements. The SPL2SMAP_S merges SMAP L-band radio brightness measurements with C-band synthetic aperture radar (SAR) measurements from the ESA Copernicus Sentinel-1 mission. The SAR data have high resolution and allow the generation of 1 and 3 km (0.62 and 1.8 mi) merged surface soil moisture estimates. The high resolution soil moisture information, however, is only available when there is coincident SMAP and Sentinel-1 measurements. The refresh rate of this product is limited and can be as long as 12 days.
      The merged SMOS–SMAP passive L-band radiometry data allows the generation of global, near daily surface soil moisture estimates, which are required to resolve fast hydrologic processes, such as gravity drainage and recharge flux. These parameters are only partially resolved with the SMAP, with a two to three day data refresh rate. This product interpolates the multi-angular SMOS data to the SMAP 40º incident angle and uses all SMAP algorithms, including correction of waterbody impact on SMAP brightness temperature, and ancillary data for geophysical inversions to soil moisture and VOD, ensuring consistency. The combined SMAP–SMOS data product may not be available daily across locations, such as Japan, parts of China, and the Middle East, where RFI affects data collection.
      Table. Soil Moisture Active Passive suite of science products are available through the National Snow and Ice Data Center, one of NASA’s Distributed Active Archive Centers.
      Product Type Product description Resolution (Gridding) Granule Extent SPL1BTB Geolocated, calibrated brightness temperature in time order 36 km Half Orbit SPL1CTB_E Backus-Gilbert interpolated, calibrated brightness temperature in time order (9 km) Half Orbit SPL1CTB Geolocated, calibrated brightness temperature on Equal-Area Scalable Earth V2 (EASE2) grid 36 km Half Orbit SPL1CTB_E Backus-Gilbert interpolated, calibrated brightness temperature on EASE2 grid (9 km) Half Orbit SPL2SMP Radiometer soil moisture and vegetation optical depth 36 km Half Orbit SPL2SMP_E Radiometer soil moisture and vegetation optical depth based on SPL1CTB (9 km) Half Orbit SPL2SMAP_S SMAP radiometer/Copernicus Sentinel-1 soil moisture 3 km Sentinel-1 SPL3SMP Daily global composite radiometer soil moisture and vegetation optical depth based on SPL1CTB 36 km Daily–Global SPL3SMP_E Daily global composite radiometer soil moisture and vegetation optical depth based on SPL1CTB_E (9 km) Daily–Global SPL3FTP Daily composite freeze/thaw state based on SPL1CTB 36 km Daily–Global SPL3FTP_E Daily composite freeze/thaw state based on SPL1CTB_E (9 km) Daily–Global SPL4SMAU Surface and Root Zone soil moisture 9 km 3 hours – Global SPL4CMDL Carbon Net Ecosystem Exchange 9 km Daily–Global SPL1BTB_NRT Near Real Time Geolocated, calibrated brightness temperature in time order 36 km Half Orbit SPL2SMP_NRT Near Real Time Radiometer soil moisture 36 km Half Orbit L2/L3 SMOS SM SMOS soil moisture and VOD based on SMAP algorithms (9 km) Half Orbit/Daily Global Future Directions for the SMAP Active–Passive Algorithm
      Although the SMAP radar failed not long after launch, the data that were collected have been used to advance the development of the SMAP Active–Passive (AP) algorithm, which will be applied to the combined SMAP radiometer data and radar data from the NASA–Indian Space Research Organisation (ISRO) Synthetic Aperture Radar [NISAR] mission, a recently-launched L-Band Synthetic Aperture mission to produce global soil moisture at a spatial resolution of 1 km (0.62 mi) or better. The high resolution product can advance applications of SMAP data (e.g., agricultural productivity, wildfire, and landslide monitoring).
      Data Continuity Beyond SMAP
      A forthcoming mission meets some – but not all – of the SMAP measurement requirements and desired enhancements. The European Union’s Copernicus Program Copernicus Imaging Microwave Radiometer (CIMR) mission is a proposed multichannel microwave radiometry observatory that includes L-band and four other microwave channels sharing a large mesh reflector. The mesh reflector is similar to the one that is used on SMAP, but larger. The successful SMAP demonstration of rotating large deployable mesh antennas for Earth observations has been useful to the CIMR design.
      In terms of RFI detection capability, CIMR will also use an approach that is similar to SMAP. With regard to instrument thermal noise (NEDT) and data latency, CIMR meets or comes close to the next-mission desired characteristics and equals or exceeds SMAP in most of the attributes. The native L-band resolution of CIMR is ~60 km (37 mi); however, the measurements are coincident and higher-resolution measurements in this configuration allow reconstruction of L-band radiometry at higher resolution than CIMR’s L-band. It may be possible to combine the L- and C-bands and achieve a reconstructed ~15 km (9 mi) L-band product based on the coincident and overlapping measurements. A refresh rate of one day is possible with the wide-swath characteristic of CIMR.
      CIMR is currently in development; the first version, CIMR-1A, is expected to launch within this decade and the second version, CIMR-1B, in the mid 2030s. Since the Copernicus program supports operational activities (e.g., numerical weather prediction), the program includes plans for follow-on CIMR observatories so that the data record will be maintained without gaps in the future.
      Conclusions
      The SMAP mission was launched in 2015 and has produced over 10 years of science data. Because of its unique instrument and operating characteristics, the global low-frequency microwave radiometry with the SMAP observatory has resulted in surface soil moisture, vegetation optical depth, and freeze/thaw state estimates that outperform past and current products. The data have been widely used in the Earth system science community and also applied to natural hazards applications.
      The Earth system science and application communities are actively using the decade-long, high-quality global L-band radiometry. The intensity and range of SMAP science data usage is evident in the number of peer-reviewed journal publications that contain SMAP or Soil Moisture Active Passive in their title or abstract and use SMAP data in the study (i.e., search: www.webofscience.com data-base). The authors acknowledge that many publications escape this particular query approach. Currently the bibliography includes over 1700 entries and over 20,000 citations spanning several elements of Earth system science, including hydrologic science and regional and global water cycle, oceanic and atmospheric sciences, cryosphere science, global ecology as well as microwave remote sensing technologies.
      To Learn More About SMAP
      A more comprehensive bibliography of studies published based on SMAP data products, a set of one-page SMAP science and applications highlights in standardized format, and SMAP project documents including assessment reports are all available online via the links provided.
      Acknowledgements
      The authors wish to acknowledge the contributions of the SMAP Science Team, the SMAP Algorithm Development Team, and the SMAP Project Office engineers and staff. All of these teams contribute to the ongoing SMAP science product generation and uses reported in this article.
      Dara Entekhabi
      Massachusetts Institute of Technology
      darae@mit.edu
      Simon Yueh
      Jet Propulsion Laboratory/California Institute of Technology
      simon.h.yueh@jpl.nasa.gov
      Rajat Bindlish
      NASA Goddard Space Flight Center
      rajat.bindlish@nasa.gov
      Mark Garcia
      Jet Propulsion Laboratory/California Institute of Technology
      mark.d.garcia@jpl.nasa.gov
      Jared Entin
      NASA Headquarters
      jared.k.entin@nasa.gov
      Craig Ferguson
      NASA Headquarters
      craig.r.ferguson@nasa.gov
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      Last Updated Aug 18, 2025 Related Terms
      Earth Science View the full article
    • By NASA
      5 min read
      How NASA’s SPHEREx Mission Will Share Its All-Sky Map With the World 
      NASA’s SPHEREx mission will map the entire sky in 102 different wavelengths, or colors, of infrared light. This image of the Vela Molecular Ridge was captured by SPHEREx and is part of the mission’s first ever public data release. The yellow patch on the right side of the image is a cloud of interstellar gas and dust that glows in some infrared colors due to radiation from nearby stars. NASA/JPL-Caltech NASA’s newest astrophysics space telescope launched in March on a mission to create an all-sky map of the universe. Now settled into low-Earth orbit, SPHEREx (Spectro-Photometer for the History of the Universe, Epoch of Reionization, and Ices Explorer) has begun delivering its sky survey data to a public archive on a weekly basis, allowing anyone to use the data to probe the secrets of the cosmos.
      “Because we’re looking at everything in the whole sky, almost every area of astronomy can be addressed by SPHEREx data,” said Rachel Akeson, the lead for the SPHEREx Science Data Center at IPAC. IPAC is a science and data center for astrophysics and planetary science at Caltech in Pasadena, California.
      Almost every area of astronomy can be addressed by SPHEREx data.
      Rachel Akeson
      SPHEREx Science Data Center Lead
      Other missions, like NASA’s now-retired WISE (Wide-field Infrared Survey Explorer), have also mapped the entire sky. SPHEREx builds on this legacy by observing in 102 infrared wavelengths, compared to WISE’s four wavelength bands.
      By putting the many wavelength bands of SPHEREx data together, scientists can identify the signatures of specific molecules with a technique known as spectroscopy. The mission’s science team will use this method to study the distribution of frozen water and organic molecules — the “building blocks of life” — in the Milky Way.
      This animation shows how NASA’s SPHEREx observatory will map the entire sky — a process it will complete four times over its two-year mission. The telescope will observe every point in the sky in 102 different infrared wavelengths, more than any other all-sky survey. SPHEREx’s openly available data will enable a wide variety of astronomical studies. Credit: NASA/JPL-Caltech The SPHEREx science team will also use the mission’s data to study the physics that drove the universe’s expansion following the big bang, and to measure the amount of light emitted by all the galaxies in the universe over time. Releasing SPHEREx data in a public archive encourages far more astronomical studies than the team could do on their own.
      “By making the data public, we enable the whole astronomy community to use SPHEREx data to work on all these other areas of science,” Akeson said.
      NASA is committed to the sharing of scientific data, promoting transparency and efficiency in scientific research. In line with this commitment, data from SPHEREx appears in the public archive within 60 days after the telescope collects each observation. The short delay allows the SPHEREx team to process the raw data to remove or flag artifacts, account for detector effects, and align the images to the correct astronomical coordinates.
      The team publishes the procedures they used to process the data alongside the actual data products. “We want enough information in those files that people can do their own research,” Akeson said.
      One of the early test images captured by NASA’s SPHEREx mission in April 2025. This image shows a section of sky in one infrared wavelength, or color, that is invisible to the human eye but is represented here in a visible color. This particular wavelength (3.29 microns) reveals a cloud of dust made of a molecule similar to soot or smoke. NASA/JPL-Caltech This image from NASA’s SPHEREx shows the same region of space in a different infrared wavelength (0.98 microns), once again represented by a color that is visible to the human eye. The dust cloud has vanished because the molecules that make up the dust — polycyclic aromatic hydrocarbons — do not radiate light in this color. NASA/JPL-Caltech




      During its two-year prime mission, SPHEREx will survey the entire sky twice a year, creating four all-sky maps. After the mission reaches the one-year mark, the team plans to release a map of the whole sky at all 102 wavelengths.
      In addition to the science enabled by SPHEREx itself, the telescope unlocks an even greater range of astronomical studies when paired with other missions. Data from SPHEREx can be used to identify interesting targets for further study by NASA’s James Webb Space Telescope, refine exoplanet parameters collected from NASA’s TESS (Transiting Exoplanet Survey Satellite), and study the properties of dark matter and dark energy along with ESA’s (European Space Agency’s) Euclid mission and NASA’s upcoming Nancy Grace Roman Space Telescope.
      The SPHEREx mission’s all-sky survey will complement data from other NASA space telescopes. SPHEREx is illustrated second from the right. The other telescope illustrations are, from left to right: the Hubble Space Telescope, the retired Spitzer Space Telescope, the retired WISE/NEOWISE mission, the James Webb Space Telescope, and the upcoming Nancy Grace Roman Space Telescope. NASA/JPL-Caltech The IPAC archive that hosts SPHEREx data, IRSA (NASA/IPAC Infrared Science Archive), also hosts pointed observations and all-sky maps at a variety of wavelengths from previous missions. The large amount of data available through IRSA gives users a comprehensive view of the astronomical objects they want to study.
      “SPHEREx is part of the entire legacy of NASA space surveys,” said IRSA Science Lead Vandana Desai. “People are going to use the data in all kinds of ways that we can’t imagine.”
      NASA’s Office of the Chief Science Data Officer leads open science efforts for the agency. Public sharing of scientific data, tools, research, and software maximizes the impact of NASA’s science missions. To learn more about NASA’s commitment to transparency and reproducibility of scientific research, visit science.nasa.gov/open-science. To get more stories about the impact of NASA’s science data delivered directly to your inbox, sign up for the NASA Open Science newsletter.
      By Lauren Leese
      Web Content Strategist for the Office of the Chief Science Data Officer 
      More About SPHEREx
      The SPHEREx mission is managed by NASA’s Jet Propulsion Laboratory for the agency’s Astrophysics Division within the Science Mission Directorate at NASA Headquarters. BAE Systems in Boulder, Colorado, 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 in Pasadena managed and integrated the instrument. The mission’s principal investigator is based at Caltech with a joint JPL appointment. Data will be processed and archived at IPAC at Caltech. The SPHEREx dataset will be publicly available at the NASA-IPAC Infrared Science Archive. Caltech manages JPL for NASA.
      To learn more about SPHEREx, visit:
      https://nasa.gov/SPHEREx
      Media Contacts
      Calla Cofield
      Jet Propulsion Laboratory, Pasadena, Calif.
      626-808-2469
      calla.e.cofield@jpl.nasa.gov
      Amanda Adams
      Office of the Chief Science Data Officer
      256-683-6661
      amanda.m.adams@nasa.gov
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      Last Updated Jul 02, 2025 Related Terms
      Open Science Astrophysics Galaxies Jet Propulsion Laboratory SPHEREx (Spectro-Photometer for the History of the Universe and Ices Explorer) The Search for Life The Universe Explore More
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