3773 papers
Quantum gravity represents the frontier where the very large meets the very small, attempting to unify Einstein's theory of gravity with the strange rules of quantum mechanics. This field explores the fundamental fabric of spacetime, seeking to understand how the universe behaves at its most extreme scales, from the heart of black holes to the moment of the Big Bang. Because these concepts often involve complex mathematics, they can feel distant to non-specialists, yet they hold the key to a complete picture of physical reality.
At Gist.Science, we bridge this gap by processing every new preprint in this category directly from arXiv. Our team provides both plain-language explanations and detailed technical summaries for each paper, ensuring that groundbreaking research is accessible to everyone, from curious students to seasoned researchers. Below are the latest papers in quantum gravity, offering fresh insights into the nature of our cosmos.
This paper constrains a damped harmonic oscillator model of dark energy using CMB, BAO, and multiple Type Ia supernova datasets, revealing that the model mimics CDM at high redshifts while exhibiting compilation-dependent oscillatory or overdamped behaviors at low redshifts that yield varying values and require a reduced sound speed to resolve numerical stiffness.
This paper derives the pulsar timing response and spatial correlations for shear modes in torsionless Palatini spacetime, revealing that the resulting dipolar correlation function is degenerate with Solar System ephemeris errors, thereby necessitating additional information beyond angular correlations to distinguish these signatures in pulsar timing array data.
This paper proposes a Kaniadakis entropy-based holographic dark energy model using the particle horizon as an infrared cutoff, demonstrating that the Kaniadakis deformation alone enables late-time cosmic acceleration in the noninteracting case—a feature absent in standard Einstein gravity—while interactions only slightly shift the transition redshift.
This paper proposes a novel inter-satellite integrated laser link scheme for space-based gravitational wave detection that mitigates excessive phase measurement noise caused by data-encoded pseudo-random noise codes by modulating the signal onto the ultra-stable oscillator clock prior to laser carrier modulation, thereby significantly suppressing noise while meeting clock noise transfer requirements.
This paper derives fully gauge-independent effective field equations for a massless, minimally coupled scalar on a de Sitter background at the 1-loop order by incorporating universal secular external leg corrections that eliminate the remaining local gauge dependence left after combining specific diagram classes.
This paper proposes a novel dark matter detection concept based on gravitational focusing by the Sun and Earth, which amplifies the flux of streaming dark matter into transient, daily recurring signals lasting approximately 10 seconds, offering a unique opportunity for identifying invisible matter.
This paper introduces Galilean Twisted spacetimes within generalized Newton-Cartan theory as duals to relativistic twisted spacetimes, demonstrating that the local and global structures of spacetimes admitting timelike torqued vector fields correspond to these models while also analyzing the completeness of free-falling and general observers.
SageNet is a deep learning framework that utilizes Long Short-Term Memory networks to emulate stiff-amplified inflationary gravitational wave spectra with high accuracy and a -fold speedup over traditional numerical solvers, thereby enabling efficient Bayesian inference for extended cosmological models.
This paper proposes a branchwise formulation of metric gravity where the spacetime signature is encoded by an internal field, demonstrating that among various possible signature vacua, only the standard Lorentzian branch satisfies the necessary conditions for causal viability, thereby offering an anthropic explanation for the observed signature of our universe.
This paper presents a Bayesian ranking method that utilizes gravitational-wave skymaps, host-galaxy information, and empirical priors to efficiently identify and prioritize electromagnetic counterparts to gravitational-wave events, as demonstrated by its successful application to the GW170817/AT2017gfo event.