Results 1 to 10 of about 910,791 (369)

Neutrino transport in general relativistic neutron star merger simulations. [PDF]

open access: yesLiving Rev Comput Astrophys, 2023
Numerical simulations of neutron star–neutron star and neutron star–black hole binaries play an important role in our ability to model gravitational-wave and electromagnetic signals powered by these systems.
Foucart F.
europepmc   +3 more sources

Discovery of a radio emitting neutron star with an ultra-long spin period of 76 seconds. [PDF]

open access: yesNat Astron, 2022
The radio-emitting neutron star population encompasses objects with spin periods ranging from milliseconds to tens of seconds. As they age and spin more slowly, their radio emission is expected to cease.
Caleb M   +21 more
europepmc   +3 more sources

Constraining neutron-star matter with microscopic and macroscopic collisions. [PDF]

open access: yesNature, 2022
Interpreting high-energy, astrophysical phenomena, such as supernova explosions or neutron-star collisions, requires a robust understanding of matter at supranuclear densities.
Huth S   +10 more
europepmc   +3 more sources

Neutron star merger remnants. [PDF]

open access: yesGen Relativ Gravit, 2020
Binary neutron star mergers observations are a unique way to constrain fundamental physics and astrophysics at the extreme. The interpretation of gravitational-wave events and their electromagnetic counterparts crucially relies on general-relativistic ...
Bernuzzi S.
europepmc   +2 more sources

Insights on Skyrme parameters from GW170817

open access: yesPhysics Letters B, 2019
The binary neutron-star merger event, GW170817, has cast a new light on nuclear physics research. Using a neutron-star model that includes a crust equation of state (EoS), we calculate the properties of a 1.4 solar-mass neutron star.
C.Y. Tsang   +4 more
doaj   +3 more sources

PSR J0952−0607: The Fastest and Heaviest Known Galactic Neutron Star [PDF]

open access: yesAstrophysical Journal Letters, 2022
We describe Keck-telescope spectrophotometry and imaging of the companion of the “black widow” pulsar PSR J0952−0607, the fastest known spinning neutron star (NS) in the disk of the Milky Way. The companion is very faint at minimum brightness, presenting
R. Romani   +4 more
semanticscholar   +1 more source

Determination of the equation of state from nuclear experiments and neutron star observations [PDF]

open access: yesNature Astronomy, 2023
Nuclear experiments become the latest ‘messenger’ to help with unravelling the mysteries of neutron stars. Combining information from astronomical observations and laboratory experiments reveals how nucleons interact in both nuclei and stars. With recent
C. Y. Tsang   +4 more
semanticscholar   +1 more source

Cooling of neutron stars with quark-hadron continuity [PDF]

open access: yesEPJ Web of Conferences, 2022
Neutron stars are high-density objects formed by the gravitational collapse of massive stars, and the whole star can be likened to a giant nucleus. The interior of a neutron star is considered to contain exotic particles and states which do not appear in
Noda Tsuneo   +4 more
doaj   +1 more source

Constraints on the Dense Matter Equation of State and Neutron Star Properties from NICER’s Mass–Radius Estimate of PSR J0740+6620 and Multimessenger Observations [PDF]

open access: yesAstrophysical Journal Letters, 2021
In recent years our understanding of the dense matter equation of state (EOS) of neutron stars has significantly improved by analyzing multimessenger data from radio/X-ray pulsars, gravitational wave events, and from nuclear physics constraints.
G. Raaijmakers   +9 more
semanticscholar   +1 more source

GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral [PDF]

open access: yesPhysical Review Letters, 2017
On August 17, 2017 at 12:41:04 UTC the Advanced LIGO and Advanced Virgo gravitational-wave detectors made their first observation of a binary neutron star inspiral.
The Ligo Scientific Collaboration   +1 more
semanticscholar   +2 more sources

Home - About - Disclaimer - Privacy