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L. Sievers

Researcher at California Institute of Technology

Publications -  37
Citations -  4116

L. Sievers is an academic researcher from California Institute of Technology. The author has contributed to research in topics: LIGO & Gravitational wave. The author has an hindex of 21, co-authored 37 publications receiving 3904 citations. Previous affiliations of L. Sievers include Jet Propulsion Laboratory & Institut d'Astrophysique de Paris.

Papers
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LIGO: The Laser Interferometer Gravitational-Wave Observatory.

TL;DR: The goal of the Laser Interferometer Gravitational-Wave Observatory (LIGO) Project is to detect and study astrophysical gravitational waves and use data from them for research in physics and astronomy.
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Detector description and performance for the first coincidence observations between LIGO and GEO

B. P. Abbott, +423 more
TL;DR: For 17 days in August and September 2002, the LIGO and GEO interferometer gravitational wave detectors were operated in coincidence to produce their first data for scientific analysis.
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Setting upper limits on the strength of periodic gravitational waves from PSR J1939+2134 using the first science data from the GEO 600 and LIGO detectors

B. P. Abbott, +376 more
- 15 Apr 2004 - 
TL;DR: In this article, a model emission mechanism is used to interpret the limits as a constraint on the pulsar's equatorial ellipticity, and two independent analysis methods are used and are demonstrated in two independent methods: a frequency domain method and a time domain method.
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Limits on gravitational-wave emission from selected pulsars using LIGO data.

B. P. Abbott, +407 more
TL;DR: The unprecedented sensitivity of the detectors allows us to set strain upper limits as low as a few times 10(-24), which translate into limits on the equatorial ellipticities of the pulsars, which are smaller than 10(-5) for the four closest pulsars.
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Comparison and extensions of control methods for narrow-band disturbance rejection

TL;DR: In the analysis of the adaptive feedforward methods, it is concluded that the popular filtered-x LMS algorithm is useful for implementation, but is best analyzed from a classical linear time invariant feedback perspective.