Bulletin of the American Physical Society
APS April Meeting 2022
Volume 67, Number 6
Saturday–Tuesday, April 9–12, 2022; New York
Session H12: Nuclear Theory II
10:45 AM–12:21 PM,
Sunday, April 10, 2022
Room: Shubert
Sponsoring
Units:
DNP GDS GFB
Chair: Maria Piarulli, Washington University, St. Louis
Abstract: H12.00005 : Constraining Neutron-Star Matter with Microscopic and Macroscopic Collisions*
11:33 AM–11:45 AM
Presenter:
Ingo Tews
(Los Alamos National Laboratory)
Author:
Ingo Tews
(Los Alamos National Laboratory)
In this talk, I will show how to use Bayesian inference to combine data from astrophysical multi-messenger observations of neutron stars and from heavy-ion collisions of gold nuclei at relativistic energies with microscopic nuclear theory calculations to improve our understanding of dense matter. I will show that constraints from heavy-ion collision experiments show a remarkable consistency with multi-messenger observations and provide complementary information on nuclear matter at intermediate densities. This work combines nuclear theory, nuclear experiment, and astrophysical observations, and shows how joint analyses can shed light on the properties of neutron-rich supranuclear matter over the density range probed in neutron stars.
LA-UR-21-32199
*This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) -- Project-ID 279384907 -- SFB 1245, the research program of the Netherlands Organization for Scientific Research (NWO), by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics, under contract No. DE-AC52-06NA25396, by the Laboratory Directed Research and Development program of Los Alamos National Laboratory under project numbers 20190617PRD1 and 20190021DR, by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Scientific Discovery through Advanced Computing (SciDAC) program, by the Max Planck Society, by the Swedish Research Council (Reg. no. 2020-03330), by the National Science Foundation with grant numbers PHY-2010970 and OAC-2117997, by the French-German Collaboration Agreement between IN2P3 - DSM/CEA and GSI, by the Bundesministerium für Bildung und Forschung (BMBF, German Federal Ministry of Education and Research
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