National Science Foundation News | Young Magnetar #shorts #science #space #astro @NSFScience | Uploaded September 2024 | Updated October 2024, 6 hours ago.
A team of international astronomers using the Very Long Baseline Array (VLBA), part of the U.S. National Science Foundation National Radio Astronomy Observatory (NRAO), have gathered the most precise and detailed position and velocity measurements yet recorded for the youngest and fastest known nearby magnetar, Swift J1818.0-1617. These new measurements may help illuminate the mysterious conditions under which magnetars form.
Magnetars are the result of a particularly high-mass star collapse that causes a supernova explosion and initiates formation conditions for a neutron star. Neutron stars that develop a strong magnetic field — typically thousands of times stronger than a "regular" neutron star — are classified as magnetars, which are considered the most magnetic objects in the universe.
A team of international astronomers using the Very Long Baseline Array (VLBA), part of the U.S. National Science Foundation National Radio Astronomy Observatory (NRAO), have gathered the most precise and detailed position and velocity measurements yet recorded for the youngest and fastest known nearby magnetar, Swift J1818.0-1617. These new measurements may help illuminate the mysterious conditions under which magnetars form.
Magnetars are the result of a particularly high-mass star collapse that causes a supernova explosion and initiates formation conditions for a neutron star. Neutron stars that develop a strong magnetic field — typically thousands of times stronger than a "regular" neutron star — are classified as magnetars, which are considered the most magnetic objects in the universe.
![Using Photos for Science [Imageomics] | Podcast](https://i.ytimg.com/vi/XW6mRWLmceQ/hqdefault.jpg "Using Photos for Science [Imageomics] | Podcast
Most living creatures reveal themselves visually and are routinely photographed by humans from all walks of life. What if researchers could use those photos to answer fundamental biological questions? Tanya Berger-Wolf, a professor and computer scientist at The Ohio State University joins to share how she is using technology to extract information from images in the new field of imageomics.")
