A cosmic enigma, ASKAP J1839-0756, a slow-spinning neutron star discovered using the ASKAP radio telescope, is challenging ...

Their results were published in Nature under the title "Real-time inference for binary neutron star mergers using machine learning." Neutron star mergers emit visible light (in the subsequent ...

For the first time, scientists have directly measured a weak r-process reaction using a radioactive ion beam, shedding light ...

New approach could aid “multimessenger” astronomy by quickly locating sources of gravitational waves emitted during these ...

Get Instant Summarized Text (Gist) Simulations indicate that the low-mass star in the J0453+1559 binary system could be a neutron star rather than a white dwarf. The star's mass, 1.174 M ⊙, is ...

Read the paper: Real-time inference for binary neutron star mergers using machine learning Gravitational waves are a prediction of general relativity, Albert Einstein’s 1915 theory of gravity.

The real-time method could set a new standard for data analysis of neutron star mergers, giving the broader astronomy community more time to point their telescopes toward the merging neutron stars ...

Their results will be published in Nature on March 5, 2025, under the title "Real-time inference for binary neutron star mergers using machine learning. Why is real-time computation important?