Global seismographic networks (GSNs) emerged during the late nineteenth and early
twentieth centuries, facilitated by seminal international developments in theory, technology …

Modeling studies have predicted that the acoustic resonance of the atmosphere during
geophysical events such as earthquakes and volcanos can lead to an oscillation of the …

Polar ionospheric electrodynamics plays an important role in the Sun–Earth connection
chain, acting as one of the major driving forces of the upper atmosphere and providing us …

We propose the use of the Earth as a transducer for ultralight dark-matter detection. In
particular, we point out a novel signal of kinetically mixed dark-photon dark matter: a …

Abstract Analysis is made of low‐latitude ground‐based magnetometer data recording the
magnetic superstorm of May 1921. By inference, the storm was driven by a series of …

In our recent companion paper [Fedderke et al. Phys. Rev. D 104, 075023 (2021) PRVDAQ
2470-0010 10.1103/PhysRevD. 104.075023], we pointed out a novel signature of ultralight …

In this paper we introduce an end-to-end deep learning (DL) framework for magnetic
anomaly detection (MAD) and denoising. This framework consists of two neural networks: a …

Empirical impedance tensors obtained from EarthScope magnetotelluric data at sites
distributed across the midwestern United States are used to examine the feasibility of …

Unidentified Aerial Phenomena (UAP) have resisted explanation and have received little
formal scientific attention for 75 years. A primary objective of the Galileo Project is to build an …

Geoelectric fields at the Earth's surface caused by magnetic storms constitute a hazard to the
operation of electric power grids and related infrastructure. The ability to estimate these …