Using hundreds of computer simulations, the researchers found that the gravitational wave signals from GW150521 are best explained by a high-eccentricity, according to the statement.
The study also sheds new light on how some of the black hole mergers detected by the Laser Interferometer Gravitational-wave Observatory (LIGO) and its European counterpart, Virgo, are so much heavier than previously thought possible. Their findings were published Jan. 20 in the journal Nature Astronomy.
NIO and Xpeng supplier Guangdong Hongtu Technology (GHT) already produced a 6,800-ton die-casting machine. Now it has announced it will start developing a 12,000-ton casting machine in partnership with Tesla supplier LK Technology.
If you follow Tesla, you likely know that its “Giga Press” technology should work to make manufacturing more streamlined and efficient. Reportedly, Chinese EV makers, such as NIO and Xpeng, may be considering following suit. In fact, while NIO hasn’t made an official announcement related to the future use of a GHT machine, it has posted images of an ET5’s single-piece casting on its website.
Long a hub of geothermal power production, a forgotten backwater of Southern California known as the Salton Sea, is a bountiful reservoir of lithium, is being dubbed “Lithium Valley.” The silvery-white metal is now in huge demand as it is used in electric vehicle batteries. Ben Tracy reports.
Each weekday morning, “CBS Mornings co-hosts Gayle King, Tony Dokoupil and Nate Burleson bring you the latest breaking news, smart conversation and in-depth feature reporting. “CBS Mornings” airs weekdays at 7 a.m. on CBS and 8 a.m. ET on CBSN.
Watch CBSN live: http://cbsn.ws/1PlLpZ7c
Download the CBS News app: http://cbsn.ws/1Xb1WC8
Follow “CBS Mornings” on Instagram: https://bit.ly/3A13OqA
Like “CBS Mornings” on Facebook: https://bit.ly/3tpOx00
Follow “CBS Mornings” on Twitter: https://bit.ly/38QQp8B
Try Paramount+ free: https://bit.ly/2OiW1kZ
A Lancaster physicist has proposed a radical solution to the question of how a charged particle, such as an electron, responded to its own electromagnetic field.
This question has challenged physicists for over 100 years but mathematical physicist Dr. Jonathan Gratus has suggested an alternative approach—published in the Journal of Physics A: Mathematical and Theoretical with controversial implications.
It is well established that if a point charge accelerates it produces electromagnetic radiation. This radiation has both energy and momentum, which must come from somewhere. It is usually assumed that they come from the energy and momentum of the charged particle, damping the motion.
It could hardly be more complicated: tiny particles whir around wildly with extremely high energy, countless interactions occur in the tangled mess of quantum particles, and this results in a state of matter known as “quark-gluon plasma”. Immediately after the Big Bang, the entire universe was in this state; today it is produced by high-energy atomic nucleus collisions, for example at CERN.
Such processes can only be studied using high-performance computers and highly complex computer simulations whose results are difficult to evaluate. Therefore, using artificial intelligence or machine learning for this purpose seems like an obvious idea. Ordinary machine-learning algorithms, however, are not suitable for this task. The mathematical properties of particle physics require a very special structure of neural networks. At TU Wien (Vienna), it has now been shown how neural networks can be successfully used for these challenging tasks in particle physics.
By using hypernetworks, researchers can now preemptively fine-tune artificial neural networks, saving some of the time and expense of training.
SpaceX launched a Falcon 9 rocket back in 2015, and its second stage is on course to hit the Moon. The DSCOVR craft stage could send up lunar regolith.
A new biosensor chip can observe direct electrical measurements of single-molecule interactions. This could enable faster and cheaper DNA sequencing, disease surveillance, and precision medicine on portable devices.
Posted in education
Circa 2019
Annually for three years, The Lemelson Foundation will give $100 awards to outstanding inventors in up to 270 Society Affiliate Fairs with middle school participants around the country. The prize was specially created to reward young people whose projects exemplify the ideals of inventive thinking by identifying a challenge in their community and creating solutions that will improve lives.
Invasive algae are often found in bodies of water such as lakes and ponds, but can it be used as paper? Seventh-graders, Wyatt Vick and Charley Clyne, from Zane Trace Middle School in Chillicothe, Ohio, set out to answer that question with their project, “Algae Paper,” eventually earning them the Lemelson Early Inventor Prize.
The idea to investigate algae as a possible paper source came to Wyatt and Charley one day while fishing. “The water level had gone down and we saw dry algae around the edges of the pond—it resembled paper. I could even fold an origami crane out of it,” said Wyatt. “There have been a few studies about the use of algae as paper, but most of what we found was about using red algae specifically for paper products, but they performed poorly in tests.”
Roughly 13.8 billion years ago, our Universe was born in a massive explosion that gave rise to the first subatomic particles and the laws of physics as we know them. About 370,000 years later, hydrogen had formed, the building block of stars, which fuse hydrogen and helium in their interiors to create all the heavier elements. While hydrogen remains the most pervasive element in the Universe, it can be difficult to detect individual clouds of hydrogen gas in the interstellar medium (ISM).
This makes it difficult to research the early phases of star formation, which would offer clues about the evolution of galaxies and the cosmos. An international team led by astronomers from the Max Planck Institute of Astronomy (MPIA) recently noticed a massive filament of atomic hydrogen gas in our galaxy. This structure, named “Maggie,” is located about 55,000 light-years away (on the other side of the Milky Way) and is one of the longest structures ever observed in our galaxy.
The study that describes their findings, which recently appeared in the journal Astronomy & Astrophysics, was led by Jonas Syed, a Ph.D. student at the MPIA. He was joined by researchers from the University of Vienna, the Harvard-Smithsonian Center for Astrophysics (CfA.
