Results 221 to 230 of about 17,365 (298)

Ionosphere‐Thermosphere Responses to the March 2023 Geomagnetic Storm Using Observations and TIEGCM Simulations Driven by Data Assimilated Aurora and Electric Fields

Journal of Geophysical Research: Space Physics, Volume 131, Issue 6, June 2026.
Abstract We investigate Ionosphere‐Thermosphere (IT) responses to the March 2023 geomagnetic storm using GOLD and PFISR observations, along with TIEGCM simulations driven by data‐assimilated aurora and electric fields. A Lattice Kriging approach is implemented to assimilate auroral electron flux and characteristic energy from ground‐based (THEMIS/ASIs)
Prakash Poudel, Xian Lu
wiley   +1 more source

Direct evidence for magnetohydrodynamic disk winds driving rotating outflows in protostar HOPS 358. [PDF]

Nat Commun
Kim CH, Lee JE, Johnstone D, Herczeg GJ, Lee CF, Francis L, Sheehan PD.   +6 more
europepmc   +1 more source

48. High Energy Astrophysics [PDF]

Transactions of the International Astronomical Union, 1973
openaire   +1 more source

Gravity Wave Influences on MSTID Climatology Over CONUS: WACCM‐X Year‐Long Simulation and GNSS Long‐Term Observation

Journal of Geophysical Research: Space Physics, Volume 131, Issue 6, June 2026.
Abstract Medium‐Scale Traveling Ionospheric Disturbances (MSTIDs) are prominent wave‐like structures in the ionosphere, with complex generation mechanisms involving both atmospheric gravity waves (GWs) and electrodynamic instabilities such as the Perkins instability (PI).
Jing Liu, Shun‐Rong Zhang, Hanli Liu, Anthea J. Coster, Philip J. Erickson   +4 more
wiley   +1 more source

A direct black-hole mass measurement in a little red dot at high redshift. [PDF]

Nature
Juodžbalis I, Marconcini C, D'Eugenio F, Maiolino R, Marconi A, Übler H, Scholtz J, Ji X, Jones GC, Perna M, Arribas S, Bennett JS, Bromm V, Bunker AJ, Carniani S, Charlot S, Cresci G, Dayal P, Egami E, Fabian A, Inayoshi K, Isobe Y, Ivey LR, Koudmani S, Laporte N, Liu B, Lyu J, Mazzolari G, Monty S, Parlanti E, Pérez-González PG, Robertson B, Schneider R, Sijacki D, Tacchella S, Trinca A, Valiante R, Volonteri M, Witstok J, Zhang S.   +39 more
europepmc   +1 more source

Predicting Nitrogen Isotope Fractionation in Nitrate Deposition on Early Mars

Journal of Geophysical Research: Planets, Volume 131, Issue 6, June 2026.
Abstract Noachian and early Hesperian Mars were likely warm and wet, with an atmosphere abundant in molecular nitrogen. The recent discovery of nitrate deposits in the Yellowknife Bay mudstones at Gale Crater confirm the existence of nitrogen oxides (NOX) on Noachian Mars. The processes responsible for the production of these nitrates would fractionate
J. Shawcross, D. J. Adams, M. L. Wong, K. J. Smith, Y. L. Yung   +4 more
wiley   +1 more source

Background-free ¹²C(<i>α</i>, <i>γ</i>) angular distribution measurements with a time projection chamber operating in Gamma beams. [PDF]

Commun Phys
Haverson KCZ, Smith R, Gai M, Schweitzer DK, Stern SR, Finch SW.   +5 more
europepmc   +1 more source

Lunar Crustal Formation by Melt Migration and Differentiation Within a Stagnant Lid

Journal of Geophysical Research: Planets, Volume 131, Issue 6, June 2026.
Abstract The lunar anorthosite highlands represent the Moon's primary crust, which formed during the solidification of a magma ocean following the Moon‐forming giant impact. However, the canonical model of anorthite flotation in the crystallizing magma ocean often struggles to reproduce the long > ${ >} $200 Myr solidification timescale required by the
K. H. Dodds, C. Michaut, J. A. Neufeld
wiley   +1 more source

Illuminating innovations: a conversation with René-Jean Essiambre on the frontiers of optical communication. [PDF]

Light Sci Appl
Wan Y, Zang C.
europepmc   +1 more source

Comparing Solar Structure Detection Methods in SDO/AIA Observations and the Application to Raw Uncalibrated Data

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Recent advances in solar physics increasingly rely on automated identification of coronal structures using machine learning. Yet most studies emphasize scientific performance without evaluating feasibility for onboard deployment to prioritize downlink observations.
P. Gonidakis, F. Carella, E. Dineva, H‐J. Jeong, P. Antunes, A. Podobas, S. Raptis, V. Toy‐Edens, M. Jin, S. Poedts, J. Magdalenic, G. Miloshevich   +11 more
wiley   +1 more source