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    • By Space Force
      The activation of S4S was part of U.S. Space Force’s plan to normalize the presentation of space forces across combatant commands and most efficiently meet the challenges presented by the dynamic national security environment and the return to Great Power Competition.

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    • By NASA
      4 Min Read NASA Finds ‘Sideways’ Black Hole Using Legacy Data, New Techniques
      Image showing the structure of galaxy NGC 5084, with data from the Chandra X-ray Observatory overlaid on a visible-light image of the galaxy. Chandra’s data, shown in purple, revealed four plumes of hot gas emanating from a supermassive black hole rotating “tipped over” at the galaxy’s core. Credits: X-ray: NASA/CXC, A. S. Borlaff, P. Marcum et al.; Optical full image: M. Pugh, B. Diaz; Image Processing: NASA/USRA/L. Proudfit NASA researchers have discovered a perplexing case of a black hole that appears to be “tipped over,” rotating in an unexpected direction relative to the galaxy surrounding it. That galaxy, called NGC 5084, has been known for years, but the sideways secret of its central black hole lay hidden in old data archives. The discovery was made possible by new image analysis techniques developed at NASA’s Ames Research Center in California’s Silicon Valley to take a fresh look at archival data from the agency’s Chandra X-ray Observatory.
      Using the new methods, astronomers at Ames unexpectedly found four long plumes of plasma – hot, charged gas – emanating from NGC 5084. One pair of plumes extends above and below the plane of the galaxy. A surprising second pair, forming an “X” shape with the first, lies in the galaxy plane itself. Hot gas plumes are not often spotted in galaxies, and typically only one or two are present.
      The method revealing such unexpected characteristics for galaxy NGC 5084 was developed by Ames research scientist Alejandro Serrano Borlaff and colleagues to detect low-brightness X-ray emissions in data from the world’s most powerful X-ray telescope. What they saw in the Chandra data seemed so strange that they immediately looked to confirm it, digging into the data archives of other telescopes and requesting new observations from two powerful ground-based observatories.
      Hubble Space Telescope image of galaxy NGC 5084’s core. A dark, vertical line near the center shows the curve of a dusty disk orbiting the core, whose presence suggests a supermassive black hole within. The disk and black hole share the same orientation, fully tipped over from the horizontal orientation of the galaxy.NASA/STScI, M. A. Malkan, B. Boizelle, A.S. Borlaff. HST WFPC2, WFC3/IR/UVIS.  The surprising second set of plumes was a strong clue this galaxy housed a supermassive black hole, but there could have been other explanations. Archived data from NASA’s Hubble Space Telescope and the Atacama Large Millimeter/submillimeter Array (ALMA) in Chile then revealed another quirk of NGC 5084: a small, dusty, inner disk turning about the center of the galaxy. This, too, suggested the presence of a black hole there, and, surprisingly, it rotates at a 90-degree angle to the rotation of the galaxy overall; the disk and black hole are, in a sense, lying on their sides.
      The follow-up analyses of NGC 5084 allowed the researchers to examine the same galaxy using a broad swath of the electromagnetic spectrum – from visible light, seen by Hubble, to longer wavelengths observed by ALMA and the Expanded Very Large Array of the National Radio Astronomy Observatory near Socorro, New Mexico.
      “It was like seeing a crime scene with multiple types of light,” said Borlaff, who is also the first author on the paper reporting the discovery. “Putting all the pictures together revealed that NGC 5084 has changed a lot in its recent past.”
      It was like seeing a crime scene with multiple types of light.
      Alejandro Serrano Borlaff
      NASA Research Scientist
      “Detecting two pairs of X-ray plumes in one galaxy is exceptional,” added Pamela Marcum, an astrophysicist at Ames and co-author on the discovery. “The combination of their unusual, cross-shaped structure and the ‘tipped-over,’ dusty disk gives us unique insights into this galaxy’s history.”
      Typically, astronomers expect the X-ray energy emitted from large galaxies to be distributed evenly in a generally sphere-like shape. When it’s not, such as when concentrated into a set of X-ray plumes, they know a major event has, at some point, disturbed the galaxy.
      Possible dramatic moments in its history that could explain NGC 5084’s toppled black hole and double set of plumes include a collision with another galaxy and the formation of a chimney of superheated gas breaking out of the top and bottom of the galactic plane.
      More studies will be needed to determine what event or events led to the current strange structure of this galaxy. But it is already clear that the never-before-seen architecture of NGC 5084 was only discovered thanks to archival data – some almost three decades old – combined with novel analysis techniques.
      The paper presenting this research was published Dec. 18 in The Astrophysical Journal. The image analysis method developed by the team – called Selective Amplification of Ultra Noisy Astronomical Signal, or SAUNAS – was described in The Astrophysical Journal in May 2024.
      For news media:
      Members of the news media interested in covering this topic should reach out to the NASA Ames newsroom.
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      Last Updated Dec 18, 2024 Related Terms
      Black Holes Ames Research Center Ames Research Center's Science Directorate Astrophysics Chandra X-Ray Observatory Galaxies Galaxies, Stars, & Black Holes Galaxies, Stars, & Black Holes Research General Hubble Space Telescope Marshall Astrophysics Marshall Science Research & Projects Marshall Space Flight Center Missions NASA Centers & Facilities Science & Research Supermassive Black Holes The Universe Explore More
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    • By NASA
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      NASA Open Science Reveals Sounds of Space
      A composite image of the Crab Nebula features X-rays from Chandra (blue and white), optical data from Hubble (purple), and infrared data from Spitzer (pink). This image is one of several that can be experienced as a sonification through Chandra’s Universe of Sound project. X-ray: NASA/CXC/SAO; Optical: NASA/STScI; Infrared: NASA-JPL-Caltech NASA has a long history of translating astronomy data into beautiful images that are beloved by the public. Through its Chandra X-ray Observatory and Universe of Learning programs, NASA brings that principle into the world of audio in a project known as “A Universe of Sound.” The team has converted openly available data from Chandra, supplemented by open data from other observatories, into dozens of “sonifications,” with more on the way.
      Following the open science principle of accessibility, “A Universe of Sound” helps members of the public who are blind or low vision experience NASA data in a new sensory way. Sighted users also enjoy listening to the sonifications. 
      “Open science is this way to not just have data archives that are accessible and incredibly rich, but also to enhance the data outputs themselves,” said Dr. Kimberly Arcand, the visualization scientist and emerging technology lead at Chandra and member of NASA’s Universe of Learning who heads up the sonification team. “I want everybody to have the same type of access to this data that I do as a scientist. Sonification is just one of those steps.”
      Data sonification of the Milky Way galactic center, made using data from NASA’s Chandra X-ray Observatory, Hubble Space Telescope, and Spitzer Space Telescope. While the Chandra telescope provides data in X-ray wavelengths for most of the sonifications, the team also took open data from other observatories to create a fuller picture of the universe. Types of data used to create some of the sonifications include visual and ultraviolet light from the Hubble Space Telescope, infrared and visual light from the James Webb Space Telescope, and infrared light from the now-retired Spitzer Space Telescope. 
      The sonification team, which includes astrophysicist Matt Russo, musician Andrew Santaguida (both of the SYSTEM Sounds project), consultant Christine Malec, and Dr. Arcand, assigned each wavelength of observation to a different musical instrument or synthesized sound to create a symphony of data. Making the separate layers publicly available was important to the team to help listeners understand the data better. 
      “It’s not just about accessibility. It’s also about reproducibility,” Arcand said. “We’re being very specific with providing all of the layers of sound, and then describing what those layers are doing to make it more transparent and obvious which steps were taken and what process of translation has occurred.” 
      For example, in a sonification of the supernova remnant Cassiopeia A, modified piano sounds represent X-ray data from Chandra, strings and brass represent infrared data from Webb and Spitzer, and small cymbals represent stars located via visual light data from Hubble. 
      Data sonification of the Cassiopeia A supernova remnant, made using data from NASA’s Chandra X-ray Observatory, James Webb Space Telescope, and Hubble Space Telescope. The team brought together people of various backgrounds to make the project a success – scientists to obtain and interpret the data, audio engineers to mix the sonifications, and members of the blind and low vision community to direct the product into something that brought a greater understanding of the data. 
      “Another benefit to open science is it tends to open those pathways of collaboration,” Arcand said. “We invite lots of different community members into the process to make sure we’re creating something that adds value, that adds to the greater good, and that makes the investment in the data worthwhile.” 
      A documentary about the sonifications called “Listen to the Universe” is hosted on NASA+. Visitors can listen to all the team’s sonifications, including the separate layers from each wavelength of observation, on the Universe of Sound website.
      By Lauren Leese 
      Web Content Strategist for the Office of the Chief Science Data Officer 
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      Foundation models can transform the landscape of remote sensing (RS) data analysis by enabling the pre-training of large computer-vision models on vast amounts of remote sensing data. These models can be fine-tuned with small amounts of labeled training and applied to various mapping and monitoring applications. Because most existing foundation models are trained solely on cloud-free satellite imagery, they are limited to applications of land surface or require atmospheric corrections. SatVision-TOA is trained on all-sky conditions which enables applications involving atmospheric variables (e.g., cloud or aerosol).
      SatVision TOA is a 3 billion parameter model trained on 100 million images from Moderate Resolution Imaging Spectroradiometer (MODIS). This is, to our knowledge, the largest foundation model trained solely on satellite remote sensing imagery. By including “all-sky” conditions during pre-training, the team incorporated a range of cloud conditions often excluded in traditional modeling. This enables 3D cloud reconstruction and cloud modeling in support of Earth and climate science, offering significant enhancement for large-scale earth observation workflows.
      With an adaptable and scalable model design, SatVision-TOA can unify diverse Earth observation datasets and reduce dependency on task-specific models. SatVision-TOA leverages one of the largest public datasets to capture global contexts and robust features. The model could have broad applications for investigating spectrometer data, including MODIS, VIIRS, and GOES-ABI. The team believes this will enable transformative advancements in atmospheric science, cloud structure analysis, and Earth system modeling.
      The model architecture and model weights are available on GitHub and Hugging Face, respectively. For more information, including a detailed user guide, see the associated white paper: SatVision-TOA: A Geospatial Foundation Model for Coarse-Resolution All-Sky Remote Sensing Imagery. 
      Examples of image reconstruction by SatVision-TOA. Left: MOD021KM v6.1 cropped image chip using MODIS bands [1, 3, 2]. Middle: The same images with randomly applied 8×8 mask patches, masking 60% of the original image. Right: The reconstructed images produced by the model, along with their respective Structural Similarity Index Measure (SSIM) scores. These examples illustrate the model’s ability to preserve structural detail and reconstruct heterogeneous features, such as cloud textures and land-cover transitions, with high fidelity.NASAView the full article
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