187 papers
Space physics explores the dynamic environment surrounding our planet and the wider solar system, focusing on how charged particles, magnetic fields, and solar winds interact with celestial bodies. This field helps us understand phenomena like auroras, space weather that can disrupt satellites, and the fundamental behavior of plasma in the vacuum of space. It bridges the gap between astronomy and particle physics, revealing the invisible forces that shape our cosmic neighborhood.
At Gist.Science, we process every new preprint in this category as it appears on arXiv, ensuring you get immediate access to the latest research. For each paper, we provide both a detailed technical summary for experts and a plain-language explanation that makes complex concepts understandable for everyone. Below are the latest space physics papers from arXiv, curated and simplified for your reading.
This paper introduces a novel, likelihood-free framework combining Flow Matching and Simulation-Based Inference with a differentiable N-body code to jointly infer the Milky Way's gravitational potential and the progenitor properties of the GD-1 stellar stream, successfully capturing complex dynamical couplings that traditional methods struggle to model.
This paper combines Voyager 1 and 2 observations with MHD modeling to demonstrate that solar-cycle-driven compressions propagating through the heliopause explain recent magnetic field anomalies in the very local interstellar medium, while turbulence analysis reveals intermittent structures and enables predictions of future magnetic activity through 2030.
This paper utilizes the Boris algorithm and the Arbitrary Linear Plasma Solver (ALPS) to demonstrate that wave-particle interactions in weakly collisional space plasmas drive heavy ions toward a steady equilibrium state characterized by minimized energy transfer between waves and particles.
Researchers aboard the China Space Station achieved the first in-orbit quantum test of the Weak Equivalence Principle using a dual-species atom interferometer, improving measurement precision by three orders of magnitude to a test uncertainty of 2.8×10⁻⁸.
This study analyzes ten hours of uGMRT Band-4 observations of 3C48 to characterize ionospheric phase fluctuations at low latitudes, revealing power-law turbulence with anisotropic structures consistent with MSTIDs and identifying diffractive scales critical for improving direction-dependent calibration strategies.
This paper presents a comprehensive set of numerical procedures and algorithms for generating various non-Maxwellian velocity distributions, including , kappa, ring, shell, super-Gaussian, and filled-shell distributions, to be used in particle simulations.
This study analyzes 66 gravitational wave events to demonstrate that the probability of classifying compact objects as neutron stars is highly sensitive to population model assumptions—particularly pairing preferences and spin distributions—rather than just measurement noise or equation of state constraints, leading to significant classification uncertainties for events like GW230529 and GW190425.
This paper proposes an efficient rejection-sampling procedure for generating Kappa distributions in particle-in-cell (PIC) simulations of space plasmas by employing a Pareto distribution as an envelope, which requires only uniform variates and achieves an acceptance efficiency of approximately 0.73 to 0.8.
This paper proposes a novel disturbance-torque-estimation-augmented model predictive control framework that utilizes a Kalman filter and enhanced dynamics modeling to effectively manage momentum on NASA's Solar Cruiser mission, successfully outperforming state-of-the-art methods during large-angle slew maneuvers.
This paper proposes a fast and practically accurate random number generator for the Kappa velocity distribution in particle simulations, which utilizes a q-exponential approximation of the cumulative distribution function to enable efficient inverse transform sampling on GPUs.