Results 11 to 20 of about 96,657 (309)
New Journal of Physics, 2014 We propose a quantum mechanical method of detecting weak vibrational disturbances inspired by the protocol of entanglement farming. We consider a setup where pairs of atoms in their ground state are successively sent through an optical cavity.
Eric G Brown +5 more
doaj +3 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Seismology is among the intrinsic sciences that strictly affect human lives. Many research efforts are presented in the literature aiming at achieving risk mitigation and disaster management.
Mohamed S. Abdalzaher +2 more
doaj +2 more sources
, 2016 The internal properties of stars in the red-giant phase undergo significant changes on relatively short timescales. Long near-uninterrupted high-precision photometric timeseries observations from dedicated space missions such as CoRoT and Kepler have ...
S. Hekker +2 more
semanticscholar +5 more sources
Cassini Ring Seismology as a Probe of Saturn’s Interior. I. Rigid Rotation [PDF]
Astrophysical Journal, 2018 Seismology of the gas giants holds the potential to resolve long-standing questions about their internal structure and rotation state. We construct a family of Saturn interior models constrained by the gravity field and compute their adiabatic mode ...
C. Mankovich +3 more
semanticscholar +3 more sources
SeisBench—A Toolbox for Machine Learning in Seismology [PDF]
Seismological Research Letters, 2021 Machine-learning (ML) methods have seen widespread adoption in seismology in recent years. The ability of these techniques to efficiently infer the statistical properties of large datasets often provides significant improvements over traditional ...
J. Woollam +12 more
semanticscholar +1 more source
Machine Learning in Earthquake Seismology
Annual Review of Earth and Planetary Science, 2022 Machine learning (ML) is a collection of methods used to develop understanding and predictive capability by learning relationships embedded in data. ML methods are becoming the dominant approaches for many tasks in seismology.
S. Mousavi, G. Beroza
semanticscholar +1 more source
A Gravitational-Wave Perspective on Neutron-Star Seismology [PDF]
Universe, 2021 We provide a bird’s-eye view of neutron-star seismology, which aims to probe the extreme physics associated with these objects, in the context of gravitational-wave astronomy.
N. Andersson
semanticscholar +1 more source
Citizen seismology helps decipher the 2021 Haiti earthquake
Science, 2022 On 14 August 2021, the moment magnitude (Mw) 7.2 Nippes earthquake in Haiti occurred within the same fault zone as its devastating 2010 Mw 7.0 predecessor, but struck the country when field access was limited by insecurity and conventional seismometers ...
É. Calais +21 more
semanticscholar +1 more source
One hundred years of advances in volcano seismology and acoustics
Bulletin of Volcanology, 2022 Since the 1919 foundation of the International Association of Volcanology and Chemistry of the Earth’s Interior (IAVCEI), the fields of volcano seismology and acoustics have seen dramatic advances in instrumentation and techniques, and have undergone ...
R. Matoza, D. Roman
semanticscholar +1 more source
Artificial intelligence in seismology: Advent, performance and future trends
, 2019 Pengcheng Jiao, Amir H. Alavi
openalex +2 more sources