Members Can Post Anonymously On This Site
Spiralling stars provide a window into the early Universe
-
Similar Topics
-
By NASA
At NASA, high-end computing is essential for many agency missions. This technology helps us advance our understanding of the universe – from our planet to the farthest reaches of the cosmos. Supercomputers enable projects across diverse research, such as making discoveries about the Sun’s activity that affects technologies in space and life on Earth, building artificial intelligence-based models for innovative weather and climate science, and helping redesign the launch pad that will send astronauts to space with Artemis II.
These projects are just a sample of the many on display in NASA’s exhibit during the International Conference for High Performance Computing, Networking, Storage and Analysis, or SC24. NASA’s Dr. Nicola “Nicky” Fox, associate administrator for the agency’s Science Mission Directorate, will deliver the keynote address, “NASA’s Vision for High Impact Science and Exploration,” on Tuesday, Nov. 19, where she’ll share more about the ways NASA uses supercomputing to explore the universe for the benefit of all. Here’s a little more about the work NASA will share at the conference:
1. Simulations Help in Redesign of the Artemis Launch Environment
To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video
This simulation of the Artemis I launch shows how the Space Launch System rocket's exhaust plumes interact with the air, water, and the launchpad. Colors on surfaces indicate pressure levels—red for high pressure and blue for low pressure. The teal contours illustrate where water is present. NASA/Chris DeGrendele, Timothy Sandstrom Researchers at NASA Ames are helping ensure astronauts launch safely on the Artemis II test flight, the first crewed mission of the Space Launch System (SLS) rocket and Orion spacecraft, scheduled for 2025. Using the Launch Ascent and Vehicle Aerodynamics software, they simulated the complex interactions between the rocket plume and the water-based sound suppression system used during the Artemis I launch, which resulted in damage to the mobile launcher platform that supported the rocket before liftoff.
Comparing simulations with and without the water systems activated revealed that the sound suppression system effectively reduces pressure waves, but exhaust gases can redirect water and cause significant pressure increases.
The simulations, run on the Aitken supercomputer at the NASA Advanced Supercomputing facility at Ames, generated about 400 terabytes of data. This data was provided to aerospace engineers at NASA’s Kennedy Space Center in Florida, who are redesigning the flame deflector and mobile launcher for the Artemis II launch.
2. Airplane Design Optimization for Fuel Efficiency
In this comparison of aircraft designs, the left wing models the aircraft’s initial geometry, while the right wing models an optimized shape. The surface is colored by the air pressure on the aircraft, with orange surfaces representing shock waves in the airflow. The optimized design modeled on the right wing reduces drag by 4% compared to the original, leading to improved fuel efficiency. NASA/Brandon Lowe To help make commercial flight more efficient and sustainable, researchers and engineers at NASA’s Ames Research Center in California’s Silicon Valley are working to refine aircraft designs to reduce air resistance, or drag, by fine-tuning the shape of wings, fuselages, and other aircraft structural components. These changes would lower the energy required for flight and reduce the amount of fuel needed, produce fewer emissions, enhance overall performance of aircraft, and could help reduce noise levels around airports.
Using NASA’s Launch, Ascent, and Vehicle Aerodynamics computational modeling software, developed at Ames, researchers are leveraging the power of agency supercomputers to run hundreds of simulations to explore a variety of design possibilities – on existing aircraft and future vehicle concepts. Their work has shown the potential to reduce drag on an existing commercial aircraft design by 4%, translating to significant fuel savings in real-world applications.
3. Applying AI to Weather and Climate
This visualization compares the track of the Category 4 hurricane, Ida, from MERRA-2 reanalysis data (left) with a prediction made without specific training, from NASA and IBM’s Prithvi WxC foundation model (right). Both models were initialized at 00 UTC on 2021-08-27.The University of Alabama in Huntsville/Ankur Kumar; NASA/Sujit Roy Traditional weather and climate models produce global and regional results by solving mathematical equations for millions of small areas (grid boxes) across Earth’s atmosphere and oceans. NASA and partners are now exploring newer approaches using artificial intelligence (AI) techniques to train a foundation model.
Foundation models are developed using large, unlabeled datasets so researchers can fine-tune results for different applications, such as creating forecasts or predicting weather patterns or climate changes, independently with minimal additional training.
NASA developed the open source, publicly available Prithvi Weather-Climate foundation model (Prithvi WxC), in collaboration with IBM Research. Prithvi WxC was pretrained using 160 variables from NASA’s Modern-era Retrospective analysis for Research and Applications (MERRA-2) dataset on the newest NVIDIA A100 GPUs at the NASA Advanced Supercomputing facility.
Armed with 2.3 billion parameters, Prithvi WxC can model a variety of weather and climate phenomena – such as hurricane tracks – at fine resolutions. Applications include targeted weather prediction and climate projection, as well as representing physical processes like gravity waves.
4. Simulations and AI Reveal the Fascinating World of Neutron Stars
3D simulation of pulsar magnetospheres, run on NASA’s Aitken supercomputer using data from the agency‘s Fermi space telescope. The red arrow shows the direction of the star’s magnetic field. Blue lines trace high-energy particles, producing gamma rays, in yellow. Green lines represent light particles hitting the observer’s plane, illustrating how Fermi detects pulsar gamma rays. NASA/Constantinos Kalapotharakos To explore the extreme conditions inside neutron stars, researchers at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, are using a blend of simulation, observation, and AI to unravel the mysteries of these extraordinary cosmic objects. Neutron stars are the dead cores of stars that have exploded and represent some of the densest objects in the universe.
Cutting-edge simulations, run on supercomputers at the NASA Advanced Supercomputing facility, help explain phenomena observed by NASA’s Fermi Gamma-ray Space Telescope and Neutron star Interior Composition Explorer (NICER) observatory. These phenomena include the rapidly spinning, highly magnetized neutron stars known as pulsars, whose detailed physical mechanisms have remained mysterious since their discovery. By applying AI tools such as deep neural networks, the scientists can infer the stars’ mass, radius, magnetic field structure, and other properties from data obtained by the NICER and Fermi observatories.
The simulations’ unprecedented results will guide similar studies of black holes and other space environments, as well as play a pivotal role in shaping future scientific space missions and mission concepts.
5. Modeling the Sun in Action – From Tiny to Large Scales
Image from a 3D simulation showing the evolution of flows in the upper layers of the Sun, with the most vigorous motions shown in red. These turbulent flows can generate magnetic fields and excite sound waves, shock waves, and eruptions. NASA/Irina Kitiashvili and Timothy A. Sandstrom The Sun’s activity, producing events such as solar flares and coronal mass ejections, influences the space environment and cause space weather disturbances that can interfere with satellite electronics, radio communications, GPS signals, and power grids on Earth. Scientists at NASA Ames produced highly realistic 3D models that – for the first time – allow them to examine the physics of solar plasma in action, from very small to very large scales. These models help interpret observations from NASA spacecraft like the Solar Dynamics Observatory (SDO).
Using NASA’s StellarBox code on supercomputers at NASA’s Advanced Supercomputing facility, the scientists improved our understanding of the origins of solar jets and tornadoes – bursts of extremely hot, charged plasma in the solar atmosphere. These models allow the science community to address long-standing questions of solar magnetic activity and how it affects space weather.
6. Scientific Visualization Makes NASA Data Understandable
This global map is a frame from an animation showing how wind patterns and atmospheric circulation moved carbon dioxide through Earth’s atmosphere from January to March 2020. The DYAMOND model’s high resolution shows unique sources of carbon dioxide emissions and how they spread across continents and oceans.NASA/Scientific Visualization Studio NASA simulations and observations can yield petabytes of data that are difficult to comprehend in their original form. The Scientific Visualization Studio (SVS), based at NASA Goddard, turns data into insight by collaborating closely with scientists to create cinematic, high-fidelity visualizations.
Key infrastructure for these SVS creations includes the NASA Center for Climate Simulation’s Discover supercomputer at Goddard, which hosts a variety of simulations and provides data analysis and image-rendering capabilities. Recent data-driven visualizations show a coronal mass ejection from the Sun hitting Earth’s magnetosphere using the Multiscale Atmosphere-Geospace Environment (MAGE) model; global carbon dioxide emissions circling the planet in the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains (DYAMOND) model; and representations of La Niña and El Niño weather patterns using the El Niño-Southern Oscillation (ENSO) model.
For more information about NASA’s virtual exhibit at the International Conference for High Performance Computing, Networking, Storage and Analysis, being held in Atlanta, Nov. 17-22, 2024, visit:
https://www.nas.nasa.gov/SC24
For more information about supercomputers run by NASA High-End Computing, visit:
https://hec.nasa.gov
For news media:
Members of the news media interested in covering this topic should reach out to the NASA Ames newsroom.
Authors: Jill Dunbar, Michelle Moyer, and Katie Pitta, NASA’s Ames Research Center; and Jarrett Cohen, NASA’s Goddard Space Flight Center
View the full article
-
By NASA
This illustration shows a red, early-universe dwarf galaxy that hosts a rapidly feeding black hole at its center. Using data from NASA’s James Webb Space Telescope and Chandra X-ray Observatory, a team of astronomers have discovered this low-mass supermassive black hole at the center of a galaxy just 1.5 billion years after the Big Bang. It is pulling in matter at a phenomenal rate — over 40 times the theoretical limit. While short lived, this black hole’s “feast” could help astronomers explain how supermassive black holes grew so quickly in the early universe.NOIRLab/NSF/AURA/J. da Silva/M. Zamani A rapidly feeding black hole at the center of a dwarf galaxy in the early universe, shown in this artist’s concept, may hold important clues to the evolution of supermassive black holes in general.
Using data from NASA’s James Webb Space Telescope and Chandra X-ray Observatory, a team of astronomers discovered this low-mass supermassive black hole just 1.5 billion years after the big bang. The black hole is pulling in matter at a phenomenal rate — over 40 times the theoretical limit. While short lived, this black hole’s “feast” could help astronomers explain how supermassive black holes grew so quickly in the early universe.
Supermassive black holes exist at the center of most galaxies, and modern telescopes continue to observe them at surprisingly early times in the universe’s evolution. It’s difficult to understand how these black holes were able to grow so big so rapidly. But with the discovery of a low-mass supermassive black hole feasting on material at an extreme rate so soon after the birth of the universe, astronomers now have valuable new insights into the mechanisms of rapidly growing black holes in the early universe.
The black hole, called LID-568, was hidden among thousands of objects in the Chandra X-ray Observatory’s COSMOS legacy survey, a catalog resulting from some 4.6 million Chandra observations. This population of galaxies is very bright in the X-ray light, but invisible in optical and previous near-infrared observations. By following up with Webb, astronomers could use the observatory’s unique infrared sensitivity to detect these faint counterpart emissions, which led to the discovery of the black hole.
The speed and size of these outflows led the team to infer that a substantial fraction of the mass growth of LID-568 may have occurred in a single episode of rapid accretion.
LID-568 appears to be feeding on matter at a rate 40 times its Eddington limit. This limit relates to the maximum amount of light that material surrounding a black hole can emit, as well as how fast it can absorb matter, such that its inward gravitational force and outward pressure generated from the heat of the compressed, infalling matter remain in balance.
These results provide new insights into the formation of supermassive black holes from smaller black hole “seeds,” which current theories suggest arise either from the death of the universe’s first stars (light seeds) or the direct collapse of gas clouds (heavy seeds). Until now, these theories lacked observational confirmation.
The new discovery suggests that “a significant portion of mass growth can occur during a single episode of rapid feeding, regardless of whether the black hole originated from a light or heavy seed,” said International Gemini Observatory/NSF NOIRLab astronomer Hyewon Suh, who led the research team.
A paper describing these results (“A super-Eddington-accreting black hole ~1.5 Gyr after the Big Bang observed with JWST”) appears in the journal Nature Astronomy.
About the Missions
NASA’s Marshall Space Flight Center manages the Chandra program. The Smithsonian Astrophysical Observatory’s Chandra X-ray Center controls science operations from Cambridge, Massachusetts, and flight operations from Burlington, Massachusetts.
The James Webb Space Telescope is the world’s premier space science observatory. Webb is solving mysteries in our solar system, looking beyond to distant worlds around other stars, and probing the mysterious structures and origins of our universe and our place in it. Webb is an international program led by NASA with its partners, ESA (European Space Agency) and CSA (Canadian Space Agency).
Read more from NASA’s Chandra X-ray Observatory.
Learn more about the Chandra X-ray Observatory and its mission here:
https://www.nasa.gov/chandra
https://chandra.si.edu
News Media Contact
Elizabeth Laundau
NASA Headquarters
Washington, DC
202-923-0167
elizabeth.r.landau@nasa.gov
Lane Figueroa
Marshall Space Flight Center, Huntsville, Alabama
256-544-0034
lane.e.figueroa@nasa.gov
View the full article
-
By NASA
Learn Home Integrating Relevant Science… Earth Science Overview Learning Resources Science Activation Teams SME Map Opportunities More Science Activation Stories Citizen Science 3 min read
Integrating Relevant Science Investigations into Migrant Children Education
For three weeks in August, over 100 migrant children (ages 3-15) got to engage in hands-on activities involving blueberries, pollinators, and eDNA as part of their time with The Blueberry Harvest School (BHS). BHS is a summer school program for migrant children whose families work in Washington County, Maine during the wild blueberry harvest season. The program is hosted by Mano en Mano in Milbridge, Maine. This summer, University of Maine 4-H (part of the NASA Science Activation Program’s Learning Ecosystems Northeast team) was invited to deliver enrichment programs during the school day alongside a seasoned BHS employee – an educator from the Mi’kmaq community in what is now known as Nova Scotia.
The goal of BHS is to meet the needs of youth by providing “culturally responsive, project-based learning while preventing summer learning loss and compensating for school disruptions among students” (Mano en Mano). Migrant families come to Downeast from Mi’kmaq First Nation communities in Nova Scotia and New Brunswick, southern states, and from within Maine, including Passamoquoddy communities in eastern Washington County and a Latino community in the western part of the county. Families stay to harvest blueberries anywhere from two to five weeks. With support from 4-H educators, youth surveyed the schoolyard for pollinators, investigated the parts of pollinators and flowers, and learned why blueberries are an important part of Wabanaki culture.
“BHS really becomes a home for the children while they are here. I think one of the reasons is because they are encouraged to be proud of their identity and who they are – they get to be their authentic selves. It’s a neat space where teachers and youth are speaking Mi’kmaq, Passamaquoddy, Spanish and English while supporting each other, and learning and experiencing new things.” — Gabrielle Brodek, 4-H Professional
“After completing my second year helping at Blueberry Harvest School, I loved seeing the returning faces of the kids who have been coming year after year – the kids remember you and hug you and are sad when the season is over and BHS ends.” — Jason Palomo, 4-H Professional
Resources and inspiration for these activities came from NASA Climate Kids, Gulf of Maine Research Institute’s Bees, Blueberries, and Climate Change learning module, National 4-H and ME Ag in the Classroom. On the last day youth experienced how to make a natural dye out of blueberries, a long-standing tradition in Native American culture. Our organizations continue to work together year-round, building stronger relationships and planning for Summer 2025!
The Learning Ecosystems Northeast project is supported by NASA under cooperative agreement award number NNX16AB94A and is part of NASA’s Science Activation Portfolio. Learn more about how Science Activation connects NASA science experts, real content, and experiences with community leaders to do science in ways that activate minds and promote deeper understanding of our world and beyond: https://science.nasa.gov/learn
Educator assisting two youth with paper folding instructions. Share
Details
Last Updated Nov 06, 2024 Editor NASA Science Editorial Team Related Terms
Earth Science Science Activation Explore More
3 min read Bundling the Best of Heliophysics Education: DigiKits for Physics and Astronomy Teachers
Article
1 day ago
3 min read Professional Learning: Using Children’s Books to Build STEM Habits of Mind
Article
2 days ago
2 min read Sadie Coffin Named Association for Advancing Participatory Sciences/NASA Citizen Science Leaders Series Fellow
Article
2 days ago
Keep Exploring Discover More Topics From NASA
James Webb Space Telescope
Webb is the premier observatory of the next decade, serving thousands of astronomers worldwide. It studies every phase in the…
Perseverance Rover
This rover and its aerial sidekick were assigned to study the geology of Mars and seek signs of ancient microbial…
Parker Solar Probe
On a mission to “touch the Sun,” NASA’s Parker Solar Probe became the first spacecraft to fly through the corona…
Juno
NASA’s Juno spacecraft entered orbit around Jupiter in 2016, the first explorer to peer below the planet’s dense clouds to…
View the full article
-
By Space Force
The U.S. Space Force and Canadian Armed Forces have kicked off an Operations and Sustainment Phase which will provide Canada with six years of access to the Space Force’s Mobile User Objective System Satellite System.
View the full article
-
By NASA
The NASA Ames Science Directorate recognizes the outstanding contributions of (pictured left to right) America Reyes Wang, Sepideh Khajehei, Julie Nottage, and Ryan Felton. Their commitment to the NASA mission represents the talent, camaraderie, and vision needed to explore this world and beyond.
Space Biosciences Star: America Reyes Wang
America Reyes Wang serves as the Space Biology Biospecimen Sharing Program (BSP) Lead in the Space Biosciences Research Branch, where she guides a team of support scientists and a logistics coordinator in planning and performing detailed, collaborative dissections to maximize the scientific return from biological investigations. Under her leadership, the BSP team has contributed over 5,000 samples to the NASA Biological Institutional Scientific Collection (NBISC), approximately half of which were collected in the last 10 months.
Earth Science Star: Sepideh Khajehei
Sepideh Khajehei is a NASA Earth eXchange (NEX) Data and Research Scientist in the Biospheric Science Branch, for the Bay Area Environmental Research Institute. She is recognized for her dedicated support of the NASA Administrator’s Earth Information Center, and recently for her outstanding support for an urgent request to revise climate indices just days before the October 7, 2024, opening of NASA’s Hometown Climate Dashboard at the Smithsonian Institute in Washington, D.C.
Space Science & Astrobiology Star: Julie Nottage
Julie Nottage continuously goes above and beyond in her role as the Space and Earth Sciences Facilities Service Manager. She keeps a multi-use interdisciplinary science building running across all aspects of operations and is the go-to person for any problem. Her can-do approach and wealth of knowledge ensures the facility’s high-quality operation that enables scientists and engineers to focus on their research and instrument work. Her quality work and extensive coordination of the Voluntary Protection Program allowed these month-long inspections to run smoothly with an improved safety outcome.
Space Science & Astrobiology Star: Ryan Felton
Ryan Felton, a NASA Postdoctoral Management Fellow with the Exobiology Branch, is recognized for his successful coordination of an engaging community-wide seminar series focused on Artificial Intelligence/Machine Learning (AI/ML). This seminar series featured four speakers so far over six months on a variety of exciting topics to advance AI/ML knowledge and use in the branch’s research.
View the full article
-
-
Check out these Videos
Recommended Posts
Join the conversation
You can post now and register later. If you have an account, sign in now to post with your account.
Note: Your post will require moderator approval before it will be visible.