Axion-Like Particle Mediated Dark Matter and Neutron Star Properties in the QHD Model
Tanech Klangburam; Chakrit Pongkitivanichkul · 2025 · arXiv
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
The finding, in one line
“Based on our previous study, we find that typical ALP parameter values have no significant effect on the EoS.”
Abstract (excerpt)
We investigate the effects of the ALP-mediated dark matter (DM) model on neutron star properties using the Quantum Hadrodynamics model (QHD). Using the relativistic mean-field approximation with the QHD-ALP-DM framework, we compute the equation of state (EoS) of neutron stars. Based on our previous study, we find that typical ALP parameter values have no significant effect on the EoS. We then explore various parametrizations of this model by varying the DM Fermi momentum, $q_f$, and DM mass, $m_χ$. Our results show that increasing $q_f$ or $m_χ$ shifts the energy density to higher values while
Excerpt shown for reference under fair use — read the full paper at the publisher.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Resonant amplitude distribution of the Hilda asteroids and the free-floating planet flyby scenario
Negative / Null Result Report3D Simulations of Plasma Filaments in the Scrape Off Layer: A Comparison with Models of Reduced Dimensionality
Negative / Null Result ReportHerd Behaviour in Public Goods Games
Negative / Null Result ReportAccurate coarse-graining of small organic molecules in melts and thin films using density-dependent potentials
Negative / Null Result ReportSemi-Analytical Models for Lensing by Dark Halos: I. Splitting Angles
Negative / Null Result ReportSimulated Annealing with Tsallis Weights - A Numerical Comparison
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: arXiv