Constraining neutron-star matter with microscopic and macroscopic collisions
GSI Helmholtz Centre for Heavy Ion Research · Technische Universität Darmstadt · +10 more institutions
Abstract
Abstract Interpreting high-energy, astrophysical phenomena, such as supernova explosions or neutron-star collisions, requires a robust understanding of matter at supranuclear densities. However, our knowledge about dense matter explored in the cores of neutron stars remains limited. Fortunately, dense matter is not probed only in astrophysical observations, but also in terrestrial heavy-ion collision experiments. Here we use Bayesian inference to combine data from astrophysical multi-messenger observations of neutron stars 1–9 and from heavy-ion collisions of gold nuclei at relativistic energies 10,11 with microscopic nuclear theory calculations 12–17 to improve our understanding of dense matter. We find that…
Citation impact
- FWCI
- 44.11
- Percentile
- 100%
- References
- 134
Authors
11- SHSabrina HuthCorresponding
GSI Helmholtz Centre for Heavy Ion Research, Technische Universität Darmstadt
- PTP. T. H. Pang
Utrecht University, National Institute for Subatomic Physics
- ITIngo Tews
Los Alamos National Laboratory
- TDTim Dietrich
University of Potsdam, Max Planck Institute for Gravitational Physics
- ALA. Le Fèvre
GSI Helmholtz Centre for Heavy Ion Research
Topics & keywords
- Physics
- Neutron star
- Nuclear astrophysics
- Nuclear matter
- Nuclear physics
- Neutron
- Stars
- Collision
Funding
- NSNational Science FoundationAwards: OAC-2117997, DE-AC52-06NA25396, PHY-2010970, 2117997, 2010970, 89233218CNA000001, DE-AC02-05CH11231
- UDU.S. Department of EnergyAwards: -AC02-05CH11231, 05CH11231, DE-AC52-06NA25396, AC52-06NA25396, AC02-05CH11231, DE-AC02, DE-AC02-05CH11231, 89233218CNA000001, DE-AC02-
- NENational Energy Research Scientific Computing CenterAwards: 05CH11231, AC02-05CH11231
- HGHelmholtz Graduate School for Hadron and Ion Research
- DFDeutsche ForschungsgemeinschaftAwards: SFB 1245, Project-ID 279384907, DE-AC02-05CH11231, 279384907
- BFBundesministerium für Bildung und ForschungAward: 05P19VTFC1
- NONederlandse Organisatie voor Wetenschappelijk Onderzoek
- MMax-Planck-Gesellschaft
- VVetenskapsrådetAward: 2020-03330
- CNCentre National de la Recherche ScientifiqueAward: DE-AC02-05CH11231
- OOOffice of ScienceAwards: 89233218CNA000001, AC02-05CH11231, -AC02-05CH11231, DE-AC02, DE-AC52-06NA25396
- NNNational Nuclear Security AdministrationAwards: AC02-05CH11231, DE-AC52-06NA25396, DE-AC02-05CH11231, 89233218CNA000001
- LLeibniz-Gemeinschaft
- INInstitut National de Physique Nucléaire et de Physique des Particules
- LLeibniz-RechenzentrumAward: pn29ba
- ASAdvanced Scientific Computing ResearchAwards: DE-AC02-05CH11231, DE-AC52-06NA25396, 89233218CNA000001
- NPNuclear PhysicsAwards: 89233218CNA000001, DE-AC02-05CH11231, DE-AC52-06NA25396
- LDLaboratory Directed Research and DevelopmentAwards: 89233218CNA000001, 20190617PRD1, 20190021DR, DE-AC52-06NA25396, DE-AC02-05CH11231
- LALos Alamos National LaboratoryAwards: 20190617PRD1, AC52-06NA25396, 89233218CNA000001, DE-AC52-06NA25396, DE-AC02-05CH11231, 20190021DR