Stratified wind from a super-Eddington X-ray binary is slower than expected. [PDF]
NatureXRISM collaboration.
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Dynamical limits on galactic winds, halo MACHOs and intergalactic globular clusters
, 2002 We argue that any violent galactic winds following the early epoch of starbursts will significantly weaken the potentials of galaxies, and leave lasting signatures such as a lowered dark halo density and preferentially radial/escaping orbits for halo ...
Zhao, Hongsheng
core
Increased and varied radiation during the Sun's encounters with cold clouds in the last 10 million years. [PDF]
Sci RepOpher M +9 more
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A new class of galactic discrete gamma ray sources: Chaotic winds of massive stars
, 1992 We propose a new class of galactic discrete gamma-ray sources, the chaotic, high mass-loss-rate winds from luminous early-type stars. Early-type stellar winds are highly unstable due to intrinsic line-driven instabilities, and so are permeated by ...
White, Richard L., Chen, Wan
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Ultra-high-energy γ-ray emission associated with the tail of a bow-shock pulsar wind nebula. [PDF]
Innovation (Camb)LHAASO Collaborationxurenfeng@ihep.ac.cnk-wang@smail.nju.edu.cnchensz@ihep.ac.cnryliu@nju.edu.cnxisq@ihep.ac.cnhushicong@ihep.ac.cn.
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Near‐resonant excitation of the Adriatic barotropic modes: The seiche events of December 2019
Quarterly Journal of the Royal Meteorological Society, EarlyView.This study examines severe flooding in the northern Adriatic Sea in December 2019, which existing forecasting systems failed to predict. Analysis of wind and sea‐level data, alongside reanalysis datasets and a high‐resolution hydrodynamic model, revealed a wind‐induced resonance mechanism.
Marco Bajo +3 more
wiley +1 more source
Uncovering the integral spectral characteristics of the planetary nebula IC 4642. [PDF]
Sci RepMohery M +4 more
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The cosmic ray ionization and γ-ray budgets of star-forming galaxies. [PDF]
Mon Not R Astron Soc, 2023 Krumholz MR, Crocker RM, Offner SSR.
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Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning
Quarterly Journal of the Royal Meteorological Society, EarlyView.Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis +7 more
wiley +1 more source
Simulations of cosmic ray propagation. [PDF]
Living Rev Comput Astrophys, 2021 Hanasz M, Strong AW, Girichidis P.
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