Results 111 to 120 of about 829 (204)
Reconstructing ultra-high-energy cosmic ray cascades with deep learning
Ultra-high-energy cosmic rays are single atomic nuclei from other galaxies and the most energetic phenomena known to humankind. In observing these and using them to increase our astrophysical understanding, two properties are of key importance: the ...
Woo, Nathan +3 more
core +1 more source
A Reduced Dimensional Emulator for Forecasting Equatorial Spread F
Abstract A machine learning emulator has been developed to efficiently reproduce electron densities from a three‐dimensional, data‐driven, regional simulation of postsunset ionospheric irregularities associated with equatorial spread F (ESF). The simulation has previously been shown to produce accurate ESF conditions observed at the Jicamarca Radio ...
A. Kirchman, D. L. Hysell, S. Palacios
wiley +1 more source
Orbit control of high area-to-mass ratio spacecraft using electrochromic coating
This paper presents a novel method for the orbit control of high area-to-mass ratio spacecraft, such as spacecraft-on-a-chip, future „smart dust‟ devices and inflatable spacecraft.
COLOMBO, CAMILLA +5 more
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Advancing Heliophysics and Space Weather Modeling Through Open Science
Abstract We present a community‐wide effort to develop a strategy and action plan to advance heliophysics and space weather modeling through open science. While open science has the potential to enhance the quality and pace of scientific discovery, its application to scientific modeling requires more careful consideration regarding open data and open ...
C. Corti +87 more
wiley +1 more source
Circularly Expanding Ring‐Shaped Pulsating Aurora Visualizing the Source of Plasma Waves in Space
Abstract Pulsating aurorae are prominent auroral emissions in the polar regions, typically occurring in the morning hours during the recovery phase of auroral substorms. These aurorae usually consist of round‐shaped patches of emission, with luminosity that pulsates at intervals ranging from less than a second to several tens of seconds.
K. Hosokawa +18 more
wiley +1 more source
Unsupervised Deep Representation Learning for Infrasound Phase Identification
Abstract Infrasound phase identification is challenging because atmospheric variability strongly influences signal propagation on short timescales that are not resolved by standard atmospheric models. While traditional approaches rely on propagation modeling and array‐derived parameters, recent work suggests that waveform structure itself encodes ...
Miro Ronac Giannone +2 more
wiley +1 more source
Abstract This study highlights the need to re‐evaluate energy transfer in the upper thermosphere at high latitudes through analysis of 9‐year measurements of neutral wind (u) from a Fabry‐Perot interferometer and ion velocity (v) from a Dynasonde in Tromsø, Norway.
S. Oyama +5 more
wiley +1 more source
Gamma-Ray Astrophysics: New Insight Into the Universe
During the 15 years that have passed since the first edition of this book was published, there has been a major increase in our knowledge of gamma-ray astronomy.
Fichtel, Carl E., Trombka, Jacob I.
core
Abstract We present large‐scale simulations of energetic neutral atom (ENA) emissions at Uranus from a spacecraft viewpoint. Models of magnetic field, extended hydrogen exosphere, moon‐sourced neutral tori, and proton radiation belt are implemented into a simulator to evaluate the production of ENAs for L $L$ = 1–15.
D. Santos‐Costa, N. André
wiley +1 more source
The Science Goals of the Constellation-X Mission
The Constellation-X mission will address the questions: "What happens to matter close to a black hole?" and "What is Dark Energy?" These questions are central to the NASA Beyond Einstein Program, where Constellation-X plays a central role.
Bookbinder, Jay +4 more
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