AI summary · arXiv: 2304.05100v1 · nucl-th
Investigating Dark Matter-Admixed Neutron Stars with NITR Equation of State in Light of PSR J0952-0607
The essentials
- Investigating properties of dark matter-admixed neutron stars using NITR model
- Motivated by discovery of heaviest pulsar, PSR J0952-0607
- NITR model developed based on extended relativistic mean field formalism
- Validated for various finite nuclei and nuclear matter properties
- Maximum mass and canonical radius consistent with PSR J0952-0607 and NICER limit
- Two approaches used to obtain properties of dark matter-admixed neutron stars: non-gravitational and two-fluid models
- Dark matter interactions lead to softer equation of state and reduced macroscopic properties
- Observational data used to constrain amount of dark matter in neutron star without compromising stability or physical characteristics
- Study expands on previous research on application of NITR model to dark matter-admixed neutron stars
Key points written by AI: they may contain errors, check them against the paper.
Ask questions about this paper to our AI assistant
How to chat with this paper? Illustrated guide
You can also chat with multiple papers at once here.
Keep this conversation — a free account saves your questions and answers, your collections of papers and your alerts.
Create a free accountTools for this paper
Advanced tools Premium
For researchers who follow a field closely: citation alerts, journal-club slides, version comparison and Zotero export. Discover Premium
Papers around this one
See them on a mapRanked by how close their title and abstract are to this paper’s. Select some to read them together.
Closest papers
-
Decoding Neutron Star Observations: Revealing Composition through Bayesian Neural NetworksValéria Carvalho, Márcio Ferreira, Tuhin Malik et al. · 2023 · Nuclear Theory · Not summarized yet
Abstract
We exploit the great potential offered by Bayesian Neural Networks (BNNs) to directly decipher the internal composition of neutron stars (NSs) based on their macroscopic properties. By analyzing a set of simulated observations, namely NS radius and tidal deformability, we leverage BNNs as effective tools for inferring the proton fraction and sound speed within NS interiors. To achieve this, several BNNs models were developed upon a dataset of $\sim$ 25K nuclear EoS within a relativistic mean-field framework, obtained through Bayesian inference that adheres to minimal low-density constraints. Unlike conventional neural networks, BNNs possess an exceptional quality: they provide a prediction u…
-
Probing Nuclear Structure of Heavy Ions at the Large Hadron ColliderHeikki Mäntysaari, Björn Schenke, Chun Shen et al. · 2024 · Nuclear Theory · AI summary available
Abstract
We perform high-statistics simulations to study the impacts of nuclear structure on the ratios of anisotropic flow observables in $^{208}$Pb+$^{208}$Pb and $^{129}$Xe+$^{129}$Xe collisions at the Large Hadron Collider. Even with $40\%$ difference in atomic numbers between $^{208}$Pb and $^{129}$Xe nuclei, the ratios of anisotropic flow in the same centrality class between the two collision systems are strongly affected by the nuclear structure inputs in the initial state. The ratios of $v_2\{4\}/v_2\{2\}$ in these collisions are sensitive to the nuclear skin thickness of the colliding nuclei, providing indirect constraints on the nuclei's neutron skin. Our model predictions serve as a benchm…
-
Nuclear matrix elements of double beta decay from beta decayJouni Suhonen · 2004 · Phys.Lett. B607 (2005) 87-95 · AI summary available
Abstract
The evaluation of the nuclear matrix elements (NME) of the two-neutrino double beta ($2νββ$) decay and neutrinoless double beta ($0νββ$) decay using the proton-neutron quasiparticle random-phase approximation (pnQRPA) is addressed. In particular, the extraction of a proper value of the proton-neutron particle-particle interaction parameter, $g_{\rm pp}$, of this theory is analyzed in detail. Evidence is shown, that it can be misleading to use the experimental half-life of the $2νββ$ decay to extract a value for $g_{\rm pp}$. Rather, arguments are given in favour of using the available data on single beta decay for this purpose.
-
Models for photo- and electro-production of K^+ in view of new dataP. Bydzovsky, F. Cusanno, S. Frullani et al. · 2003 · Nuclear Theory · Not summarized yet
Abstract
Predictions of isobaric and Regge models are compared with the latest experimental data (Bonn,JLab) to select among the models those providing a satisfactory description of the data. Only the Saclay-Lyon and MAID models are in a reasonable agreement with both photo- and electro-production data ranging up to about 2.5 GeV.
-
Nuclear Matter and Nuclear DynamicsM Colonna · 2009 · Nuclear Theory · AI summary available
Abstract
Highlights on the recent research activity, carried out by the Italian Community involved in the "Nuclear Matter and Nuclear Dynamics" field, will be presented.
-
IMSRG-Net: A machine learning-based solver for In-Medium Similarity Renormalization GroupSota Yoshida · 2023 · Nuclear Theory · AI summary available
Abstract
We present a novel method, IMSRG-Net, which utilizes machine learning techniques as a solver for the in-medium Similarity Renormalization Group (IMSRG). The primary objective of IMSRG-Net is to approximate the Magnus operators $\Omega(s)$ in the IMSRG flow equation, thereby offering an alternative to the computationally intensive part of IMSRG calculations. The key idea of IMSRG-Net is its design of the loss function inspired by physics-informed neural networks to encode the underlying {\it physics}, i.e., IMSRG flow equation, into the model. Through training on a dataset comprising ten data points with flow parameters up to $s = 20$, capturing approximately one-eighth to one-quarter of the …
-
Parameterization of the Woods-Saxon Potential for Shell-Model CalculationsN. Schwierz, I. Wiedenhover, A. Volya · 2007 · Nuclear Theory · AI summary available
Abstract
The drastically expanded use of the Woods-Saxon potential in modern day nuclear physics and the availability of new nuclear data motivated us to review and optimize the parameters of this potential to the experimental single-nucleon spectra around the doubly-magic nuclei between $^{16}$O and $^{208}$Pb. We obtain a parameterization which is applicable over the whole nuclear chart for nuclides between $^{16}$O and the heaviest elements. Apart from Coulomb components the obtained parameter set is isospin symmetric. We demonstrate that the potential provides a good description of the nuclear mean field leading to quality single-particle spectra, nuclear radii, prediction of drip-lines, shell cl…
-
Electromagnetic isoscalar rho-pi-gamma exchange current and the anomalous actionE. Truhlik, J. Smejkal, F. C. Khanna · 2000 · Nucl.Phys. A689 (2001) 741-752 · Not summarized yet
Abstract
Using modern data, we first refit constants needed to complete an anomalous pi-rho-omega-a_1 Lagrangian obtained within the approach of hidden local symmetries. Then we derive from this Lagrangian electromagnetic isoscalar rho-pi-gamma and rho-a_1-gamma currents needed in calculations of the deuteron electromagnetic form factors at large momentum transfers.
Go further
How are these papers found?
We compare the title and abstract of this paper with those of every paper summarized on this site, and with the papers Semantic Scholar recommends, those it cites and those citing it (for a much-cited paper, its most recent citations and, from OpenAlex, the most cited ones). Among the prior work and the follow-ups, the papers that use each other in depth, a method it uses and the much-cited follow-ups come a little higher. The levels (very close, close, related) come from the similarity of the texts, not from a judgment of quality; * marks a paper without an abstract, compared by its title. The sentence under a paper is written by an AI from the two abstracts: check it in the papers. A paper marked not relevant by three readers leaves the list.
For now only among the papers summarized on this site: search again to add the prior work, the follow-ups and Semantic Scholar’s recommendations.
The previous summary was created more than a year ago and can be re-run (if necessary) by clicking on the Run button below.
Disclaimer: The AI-based summarization tool and virtual assistant provided on this website may not always provide accurate and complete summaries or responses. We encourage you to carefully review and evaluate the generated content to ensure its quality and relevance to your needs.