3202 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 employs expansion-normalized dynamical systems and center-manifold analysis to demonstrate that flat FLRW models with hybrid scalar field potentials can yield viable cosmological histories featuring transient matter or radiation eras followed by late-time accelerated expansion, provided specific parameter constraints and coupling conditions are met.
This paper demonstrates that a minimal two-field scalar-tensor completion of Starobinsky inflation remains robust against radiative deformations, as nearby trajectories converge to an attractor where suppressed entropy modes preserve the model's characteristic Starobinsky-like observational predictions.
Using Bayesian analysis of binary black hole inspirals from the GWTC-4 catalog within a theory-agnostic Johannsen metric framework, this study establishes significantly tighter constraints on non-Kerr deformation parameters, finding them consistent with zero and thereby reinforcing the validity of General Relativity's Kerr hypothesis.
This paper studies the equal-mass double Schwarzschild solution in bispherical coordinates by providing an explicit conformal transformation from Weyl coordinates using elliptic functions and presenting a multi-domain spectral method to numerically reconstruct the solution.
This paper introduces a hierarchical Bayesian model that accurately measures the rate of non-Gaussian noise glitches in gravitational wave detectors across low signal-to-noise regimes without arbitrary thresholds, enabling time-resolved analysis and the identification of coincident glitches such as the retracted candidate GW230630_070659.
This paper demonstrates that the previously proposed thermodynamic interpretation of scalar-tensor gravity, which attributes a non-zero temperature to departures from general relativity, is not frame-invariant, and instead establishes a frame-invariant formulation where the effective fluid is perfect with zero temperature, identifying a frame-invariant chemical potential as the true driver of deviations from general relativity.
This paper proposes a deterministic, non-relativistic framework where wave-function collapse arises from a gravitational bifurcation in a nonlinear Schrödinger equation, leading to stable localized states without stochastic noise or environmental coupling.
This paper forecasts that upcoming radio telescopes, specifically LOFAR2.0, FAST Core Array, and BINGO, will significantly enhance the ability to constrain the fraction of dark matter composed of Primordial Black Holes by detecting or ruling out lensed Fast Radio Bursts across various mass ranges.
This paper develops a unified post-Newtonian framework to compare metric and Palatini formalisms in general scalar-tensor gravity, revealing that while observational constraints are typically model-dependent, the Palatini approach can yield significantly weaker local bounds due to stronger Yukawa suppression and reproduces general-relativistic limits in gravity where the metric formalism does not.
The paper introduces MF-toolkit, a high-performance Python library that automates crossover detection and identifies the physical origins of multifractality through surrogate data analysis, demonstrating its utility by characterizing non-stationary noise in gravitational wave data.