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Webb Telescope Finds Most Distant Black Hole Merger
A new JWST study has found evidence of two galaxies colliding 740 million years after the Big Bang.
The post Webb Telescope Finds Most Distant Black Hole Merger appeared first on Sky & Telescope.
Russian space weapon ban shot down by UN Security Council
Ancient viruses in the human genome linked to mental health conditions
Ancient viruses in the human genome linked to mental health conditions
NASA, IBM Research to Release New AI Model for Weather, Climate
4 min read
NASA, IBM Research to Release New AI Model for Weather, Climate With the Privthi-weather-climate foundational model, researchers will be able to support many climate applications that can be used throughout the science community. These applications include detecting and improving models for severe weather patterns or natural disasters such as hurricanes. NASA’s Terra satellite acquired this image of Idalia in August 2023. NASA Earth Observatory
By Jessica Barnett
Working together, NASA and IBM Research have developed a new artificial intelligence model to support a variety of weather and climate applications. The new model – known as the Privthi-weather-climate foundational model – uses artificial intelligence (AI) in ways that could vastly improve the resolution we’ll be able to get, opening the door to better regional and local weather and climate models.
Foundational models are large-scale, base models which are trained on large, unlabeled datasets and can be fine-tuned for a variety of applications. The Privthi-weather-climate model is trained on a broad set of data – in this case NASA data from NASA’s Modern-Era Retrospective analysis for Research and Applications (MERRA-2)– and then makes use of AI learning abilities to apply patterns gleaned from the initial data across a broad range of additional scenarios.
“Advancing NASA’s Earth science for the benefit of humanity means delivering actionable science in ways that are useful to people, organizations, and communities. The rapid changes we’re witnessing on our home planet demand this strategy to meet the urgency of the moment,” said Karen St. Germain, director of the Earth Science Division of NASA’s Science Mission Directorate. “The NASA foundation model will help us produce a tool that people can use: weather, seasonal and climate projections to help inform decisions on how to prepare, respond and mitigate.”
With the Privthi-weather-climate model, researchers will be able to support many different climate applications that can be used throughout the science community. These applications include detecting and predicting severe weather patterns or natural disasters, creating targeted forecasts based on localized observations, improving spatial resolution on global climate simulations down to regional levels, and improving the representation of how physical processes are included in weather and climate models.
“These transformative AI models are reshaping data accessibility by significantly lowering the barrier of entry to using NASA’s scientific data,” said Kevin Murphy, NASA’s chief science data officer, Science Mission Directorate at NASA Headquarters. “Our open approach to sharing these models invites the global community to explore and harness the capabilities we’ve cultivated, ensuring that NASA’s investment enriches and benefits all.”
Privthi-weather-climate was developed through an open collaboration with IBM Research, Oak Ridge National Laboratory, and NASA, including the agency’s Interagency Implementation and Advanced Concepts Team (IMPACT) at Marshall Space Flight Center in Huntsville, Alabama.
Privthi-weather-climate can capture the complex dynamics of atmospheric physics even when there is missing information thanks to the flexibility of the model’s architecture. This foundational model for weather and climate can scale to both global and regional areas without compromising resolution.
“This model is part of our overall strategy to develop a family of AI foundation models to support NASA’s science mission goals,” said Rahul Ramachandran, who leads IMPACT at Marshall. “These models will augment our capabilities to draw insights from our vast archives of Earth observations.”
Privthi-weather-climate is part of a larger model family– the Privthi family– which includes models trained on NASA’s Harmonized LandSat and Sentinel-2 data. The latest model serves as an open collaboration in line with NASA’s open science principles to make all data accessible and usable by communities everywhere. It will be released later this year on Hugging Face, a machine learning and data science platform that helps users build, deploy, and train machine learning models.
“The development of the NASA foundation model for weather and climate is an important step towards the democratization of NASA’s science and observation mission,” said Tsendgar Lee, program manager for NASA’s Research and Analysis Weather Focus Area, High-End Computing Program, and Data for Operation and Assessment. “We will continue developing new technology for climate scenario analysis and decision making.”
Along with IMPACT and IBM Research, development of Privthi-weather-climate featured significant contributions from NASA’s Office of the Chief Science Data Officer, NASA’s Global Modeling and Assimilation Office at Goddard Space Flight Center, Oak Ridge National Laboratory, the University of Alabama in Huntsville, Colorado State University, and Stanford University.
Learn more about Earth data and previous Privthi models:
https://www.earthdata.nasa.gov/news/impact-ibm-hls-foundation-model
Jonathan Deal
Marshall Space Flight Center, Huntsville, Ala.
256.544.0034
jonathan.e.deal@nasa.gov
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Spotted: ‘Death Star’ Black Holes in Action
A team of astronomers have studied 16 supermassive black holes that are firing powerful beams into space, to track where these beams, or jets, are pointing now and where they were aimed in the past, as reported in our latest press release. Using NASA’s Chandra X-ray Observatory and the U.S. National Science Foundation (NSF) National Radio Astronomical Observatory’s (NRAO) Very Large Baseline Array (VLBA), they found that some of the beams have changed directions by large amounts.
These two Chandra images show hot gas in the middle of the galaxy cluster Abell 478 (left) and the galaxy group NGC 5044 (right). The center of each image contains one of the sixteen black holes firing beams outwards. Each black hole is in the center of a galaxy embedded in the hot gas.
In the images below, labels and the radio images appear. Ellipses show a pair of cavities in the hot gas for Abell 478 (left) and ellipses show two pairs of cavities for NGC 5044 (right). These cavities were carved out by the beams millions of years ago, giving the directions of the beams in the past. An X shows the location of each supermassive black hole.
Abell 478 and NGC 5044 (Labeled)X-ray: NASA/CXC/Univ. of Bologna/F. Ubertosi; Insets Radio: NSF/NRAO/VLBA; Wide field Image: Optical/IR: Univ. of Hawaii/Pan-STARRS; Image Processing: NASA/CXC/SAO/N. Wolk
The VLBA images are shown as insets, which reveal where the beams are currently pointing, as seen from Earth. The radio images are both much smaller than the X-ray images. For Abell 478 the radio image is about 3% of the width of the Chandra image and for NGC 5044 the radio image is about 4% of the Chandra image’s width.
A comparison between the Chandra and VLBA images shows that the beams for Abell 478 changed direction by about 35 degrees and the beams for NGC 5044 changed direction by about 70 degrees.
Across the entire sample the researchers found that about a third of the 16 galaxies have beams that are pointing in completely different directions than they were before. Some have changed directions by nearly 90 degrees in some cases, and over timescales between one million years and a few tens of millions of years. Given that the black holes are of the order of 10 billion years old, this represents a relatively rapid change for these galaxies.
Wide Field Views of Abell 478 [Left] and NGC 5044 [Right]. X-ray: NASA/CXC/Univ. of Bologna/F. Ubertosi et al.; Optical/IR: Univ. of Hawaii/Pan-STARRS; IR: NASA/ESA/JPL/CalTech/Herschel Space Telescope
Black holes generate beams when material falls onto them via a spinning disk of matter and some of it then gets redirected outward. The direction of the beams from each of these giant black holes, which are likely spinning, is thought to align with the rotation axis of the black hole, meaning that the beams point along a line connecting the poles.
These beams are thought to be perpendicular to the disk. If material falls towards the black holes at a different angle that is not parallel to the disk, it could affect the direction of the black hole’s rotation axes, changing the direction of the beams.
Scientists think that beams from black holes and the cavities they carve out play an important role in how many stars form in their galaxies. The beams pump energy into the hot gas in and around the galaxy, preventing it from cooling down enough to form huge numbers of new stars. If the beams change directions by large amounts, they can tamp down star formation across much larger areas of the galaxy.
The paper describing these results was published in the January 20th, 2024 issue of The Astrophysical Journal, and is available here. The authors are Francesco Ubertosi (University of Bologna in Italy), Gerritt Schellenberger (Center for Astrophysics | Harvard & Smithsonian), Ewan O’Sullivan (CfA), Jan Vrtilek (CfA), Simona Giacintucci (Naval Research Laboratory), Laurence David (CfA), William Forman (CfA), Myriam Gitti (University of Bologna), Tiziana Venturi (National Institute of Astrophysics—Institute of Radio Astronomy in Italy), Christine Jones (CfA), and Fabrizio Brighenti (University of Bologna).
NASA’s Marshall Space Flight Center manages the Chandra program. The Smithsonian Astrophysical Observatory’s Chandra X-ray Center controls science from Cambridge Massachusetts and flight operations from Burlington, Massachusetts.
Read more from NASA’s Chandra X-ray Observatory.
For more Chandra images, multimedia and related materials, visit:
https://www.nasa.gov/mission/chandra-x-ray-observatory/
Visual Description:This image contains two X-ray images presented side by side, separated by a thin, gray line. On the left is an image of galaxy cluster Abell 478, and on the right is an image of galaxy group NGC 5044.
The X-ray image of Abell 478 resembles a gooey, blue substance that has been spilled on a black canvas. Most of the image is covered in this blue goo texture, which is hot gas in X-ray light, however there are cavities where no blue texture is present. At the center of the image is a bright, white region. Within the white region, too small to identify, exists Abell 478’s supermassive black hole.
The X-ray image of NGC 5044, on our right, is more pixelated than the image of Abell 478. It resembles blue television static or noise, that is present on a television when no transmission signal is detected. Most of the image is covered in this blue static, however there are cavities where no blue static is present. At the center of the image is a bright, white region. Within the white region, too small to identify, exists NGC 5044’s supermassive black hole.
News Media ContactMegan Watzke
Chandra X-ray Center
Cambridge, Mass.
617-496-7998
Jonathan Deal
Marshall Space Flight Center
Huntsville, Ala.
256-544-0034
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First Space Station missions for new ESA astronauts
ESA Director General Josef Aschbacher announces the first two astronaut missions for the new ESA astronaut class of 2022 on the first day of the Space Council, held in Brussels on 22 and 23 May 2024.
ESA's most recent class of astronauts selected in 2022 includes Sophie Adenot, Pablo Álvarez Fernández, Rosemary Coogan, Raphaël Liégeois, and Marco Sieber. They recently completed one year of basic training and graduated as ESA astronauts on 22 April at ESA's European Astronaut Centre in Germany, making them eligible for spaceflight. During their missions aboard the International Space Station, ESA astronauts will engage in a diverse range of activities, from conducting scientific experiments and medical research to Earth observation, outreach and operational tasks.
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