Machine-learning nonstationary noise out of gravitational-wave detectors
Article Properties
Journal Categories
Science
Astronomy
Science
Chemistry
Physical and theoretical chemistry
Science
Physics
Atomic physics
Constitution and properties of matter
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| 10.7551/mitpress/2946.001.0001 | 1949 | |||
| Deep Learning | 2016 | |||
| Discrete Time Signal Processing Third Edition | 2010 | |||
| Feedback Control Theory | 2009 | |||
| IEEE Workshop on Statistical Signal Processing | 2003 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Searches for continuous-wave gravitational radiation | Living Reviews in Relativity |
| 26 | 2023 |
Reducing control noise in gravitational wave detectors with interferometric local damping of suspended optics | Review of Scientific Instruments |
| 3 | 2023 |
Calibration of advanced Virgo and reconstruction of the detector strain h(t) during the observing run O3 | Classical and Quantum Gravity |
| 21 | 2022 |
LIGO detector characterization in the second and third observing runs | Classical and Quantum Gravity |
| 129 | 2021 |
| Exploring gravitational-wave detection and parameter inference using deep learning methods | Classical and Quantum Gravity |
| 11 | 2021 |
Citations Analysis
The category
Science: Physics 5
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Exploring gravitational-wave detection and parameter inference using deep learning methods and was published in 2021. The most recent citation comes from a 2023 study titled Reducing control noise in gravitational wave detectors with interferometric local damping of suspended optics. This article reached its peak citation in 2023, with 2 citations. It has been cited in 3 different journals, 33% of which are open access. Among related journals, the Classical and Quantum Gravity cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.