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By NASA
4 min read
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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Last Updated Dec 17, 2024 Related Terms
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By NASA
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NASA AI, Open Science Advance Natural Disaster Research and Recovery
Hurricane Ida is pictured as a category 2 storm from the International Space Station as it orbited 264 miles above the Gulf of Mexico. In the foreground is the Canadarm2 robotic arm with Dextre, the fine-tuned robotic hand, attached. NASA By Lauren Perkins
When you think of NASA, disasters such as hurricanes may not be the first thing to come to mind, but several NASA programs are building tools and advancing science to help communities make more informed decisions for disaster planning.
Empowered by NASA’s commitment to open science, the NASA Disasters Program supports disaster risk reduction, response, and recovery. A core element of the Disasters Program is providing trusted, timely, and actionable data to aid organizations actively responding to disasters.
Hurricane Ida made landfall in Louisiana Aug. 21, 2021, as a category 4 hurricane, one of the deadliest and most destructive hurricanes in the continental United States on record. The effects of the storm were widespread, causing devastating damage and affecting the lives of millions of people.
During Hurricane Ida, while first responders and other organizations addressed the storm’s impacts from the ground, the NASA Disasters program was able to provide a multitude of remotely sensed products. Some of the products and models included information on changes in soil moisture, changes in vegetation, precipitation accumulations, flood detection, and nighttime lights to help identify areas of power outages.
Image Before/After The NASA team shared the data with its partners on the NASA Disasters Mapping Portal and began participating in cross-agency coordination calls to determine how to further aid response efforts. To further connect and collaborate using open science efforts, NASA Disasters overlaid publicly uploaded photos on their Damage Proxy Maps to provide situational awareness of on-the-ground conditions before, during, and after the storm.
Immediate post-storm response is critical to saving lives; just as making informed, long- term response decisions are critical to providing equitable recovery solutions for all. One example of how this data can be used is blue tarp detection in the aftermath of Hurricane Ida.
Using artificial intelligence (AI) with NASA satellite images, the Interagency Implementation and Advanced Concepts Team (IMPACT), based at NASA’s Marshall Space Flight Center in Huntsville, Alabama, conducted a study to detect the number of blue tarps on rooftops in the aftermath of hurricanes, such as Ida, as a way of characterizing the severity of damage in local communities.
An aerial photograph shows damaged roofs from Hurricane Maria in 2017 in Barrio Obrero, Puerto Rico. In the wake of the hurricane, the Federal Emergency Management Agency (FEMA) and United States Army Corps of Engineers distributed 126,000 blue tarps and nearly 60,000 temporary blue roofs to people awaiting repairs on damaged homes. NASA While disasters cannot be avoided altogether, timely and accessible information helps communities worldwide reduce risk, improve response, hasten recovery, and build disaster resilience.
Through an initiative led by NASA’s Office of the Chief Science Data Officer, NASA and IBM are developing five open-source artificial intelligence foundation models trained on NASA’s expansive satellite repositories. This effort will help make NASA’s vast, ever-growing amounts of data more accessible and usable. Leveraging NASA’s AI expertise allows users to make faster, more informed decisions. User applications of the Prithvi Earth Foundation Models could range from identifying flood risks and predicting crop yields to forecasting long range atmospheric weather patterns.
“NASA is dedicated to ensuring that our scientific data are accessible and beneficial to all. Our AI foundation models are scientifically validated and adaptable to new data, designed to maximize efficiency and lower technical barriers. This ensures that even in the face of challenging disasters, response teams can be swift and effective,” said Kevin Murphy, NASA’s chief science data officer. “Through these efforts, we’re not only advancing scientific frontiers, but also delivering tangible societal benefits, providing data that can safeguard lives and improve resilience against future threats.”
Hear directly from some of the data scientists building these AI models, the NASA disaster response team, as well as hurricane hunters that fly directly into these devastating storms on NASA’s Curious Universe podcast.
Learn more about NASA’s AI for Science models at https://science.nasa.gov/artificial-intelligence-science/.
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Last Updated Nov 26, 2024 Related Terms
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By European Space Agency
Video: 00:07:25 Meet Copernicus Sentinel-1 – this ground-breaking mission delivers continuous, all-weather, day-and-night imaging for land, ice and maritime monitoring.
Equipped with state-of-the-art C-band synthetic aperture radar (SAR), Sentinel-1 captures high-resolution data around the clock, in any weather, making it indispensable for detecting the subtle changes on Earth’s surface that remain hidden from the human eye.
Sentinel-1 data serves a multitude of critical applications: from ensuring the safety and efficiency of maritime traffic, tracking sea ice and icebergs, to monitoring structural integrity and natural hazards, such as earthquakes, landslides and volcanic activity.
Its enhanced radar technology provides precises precise information on ground movement, which is critical for urban planning, infrastructure resilience, subsidence risk assessment and geohazard monitoring.
Through consistent, long-term data collection, Sentinel-1 serves as a global asset, essential for environmental and safety monitoring worldwide. The mission is a beacon of innovation, advancing our understanding of our planet’s dynamic landscape.
This video features interviews with Mark Drinkwater, Head of Mission Sciences Division at ESA, Ramon Torres Cuesta, Sentinel-1 Project Manager at ESA and Julia Kubanek, Sentinel-1 Mission Scientist at ESA.
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By NASA
NASA logo NASA has awarded $15.6 million in grant funding to 15 projects supporting the maintenance of open-source tools, frameworks, and libraries used by the NASA science community, for the benefit of all.
The agency’s Open-Source Tools, Frameworks, and Libraries awards provide support for the sustainable development of tools freely available to everyone and critical for the goals of the agency’s Science Mission Directorate.
“We received almost twice the number of proposals this year than we had in the previous call,” said Steve Crawford, program executive, Open Science implementation, Office of the Chief Science Data Officer, NASA Headquarters in Washington. “The NASA science community’s excitement for this program demonstrates the need for sustained support and maintenance of open-source software. These projects are integral to our missions, critical to our data infrastructure, underpin machine learning and data science tools, and are used by our researchers, every day, to advance science that protects our planet and broadens our understanding of the universe.”
This award program is one of several cross-divisional opportunities at NASA focused on advancing open science practices. The grants are funded by NASA’s Office of the Chief Science Data Officer through the agency’s Research Opportunities for Space and Earth Science. The solicitation sought proposals through two types of awards:
Foundational awards: cooperative agreements for up to five years for open-source tools, frameworks, and libraries that have a significant impact on two or more divisions of the Science Mission Directorate. Sustainment awards: grants or cooperative agreements of up to three years for open-source tools, frameworks, and libraries that have significant impact in one or more divisions of the Science Mission Directorate. 2024 awardees are:
Foundation awards:
NASA’s Ames Research Center, Silicon Valley, CaliforniaPrincipal investigator: Ross Beyer “Expanding and Maintaining the Ames Stereo Pipeline” Caltech, Pasadena, CaliforniaPrincipal investigator: Brigitta Sipocz “Enhancement of Infrastructure and Sustained Maintenance of Astroquery” Cornell University, Scarsdale, New YorkPrincipal investigator: Ramin Zabih “Modernize and Expand arXiv’s Essential Infrastructure” NASA’s Goddard Space Flight Center, Greenbelt, MarylandPrincipal investigator: D. Cooley “Enabling SMD Science Using the General Mission Analysis Tool” NumFOCUS, Austin, TexasPrincipal investigator: Thomas Caswell “Sustainment of Matplotlib and Cartopy” NumFOCUSPrincipal investigator: Erik Tollerud “Investing in the Astropy Project to Enable Research and Education in Astronomy” Sustainment awards:
NASA’s Jet Propulsion Laboratory, Southern CaliforniaPrincipal investigator: Cedric David “Sustain NASA’s River Software for the Satellite Data Deluge,” three-year award Pennsylvania State University, University ParkPrincipal investigator: David Radice “AthenaK: A Performance Portable Simulation Infrastructure for Computational Astrophysics,” three-year award United States Geological Survey, Reston, VirginiaPrincipal investigator: Trent Hare “Planetary Updates for QGIS,” one-year award NASA JPLPrincipal investigator: Michael Starch “How To F Prime: Empowering Science Missions Through Documentation and Examples,” three-year award NASA GoddardPrincipal investigator: Albert Shih “Enhancing Consistency and Discoverability Across the SunPy Ecosystem,” three-year award Triad National Security, LLC, Los Alamos, New MexicoPrincipal investigator: Julia Kelliher “Enhancing Analysis Capabilities of Biological Data With the NASA EDGE Bioinformatics Platform,” four-year award iSciences LLC, Burlington, VermontPrincipal investigator: Daniel Baston “Sustaining the Geospatial Data Abstraction Library,” three-year award University of Maryland, College Park,Principal investigator: C Max Stevens “Sustaining the Community Firn Model,” three-year award Quansight, LLC, Austin, TexasPrincipal investigator: Dharhas Pothina “Ensuring a Fast and Secure Core for Scientific Python – Security, Accessibility and Performance of NumPy, SciPy and scikit-learn; Going Beyond NumPy With Accelerator Support,” three-year award For information about open science at NASA, visit:
https://science.nasa.gov/open-science
-end-
Alise Fisher
Headquarters, Washington
202-617-4977
alise.m.fisher@nasa.gov
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By European Space Agency
Video: 00:03:27 On Saturday 5 and Sunday 6 October 2024, the European Space Agency opened the doors to the European Space Research and Technology Centre, ESTEC, in the Netherlands, welcoming some 9000 visitors to its 13th annual Open Day. As in previous years, ESA’s largest establishment in Europe invited the public to meet space engineers, astronauts and to see actual space hardware. Attendees explored state-of-the-art facilities, interacted with ESA and NASA astronauts and discovered various job opportunities at ESA. There was also a full schedule of talks from Space Rocks, celebrating the art and culture of science and space.
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