A5038311338- Pulsars and Gravitational Waves Research
- Gamma-ray bursts and supernovae
- Geophysics and Gravity Measurements
- Astrophysical Phenomena and Observations
- Cosmology and Gravitation Theories
- Geophysics and Sensor Technology
- Astrophysics and Cosmic Phenomena
- Seismic Waves and Analysis
- Radio Astronomy Observations and Technology
- High-pressure geophysics and materials
- Statistical and numerical algorithms
- Atomic and Subatomic Physics Research
- Advanced Frequency and Time Standards
- Astronomical Observations and Instrumentation
- Mechanical and Optical Resonators
- Seismology and Earthquake Studies
- Radiomics and Machine Learning in Medical Imaging
- Superconducting Materials and Applications
- Black Holes and Theoretical Physics
- Computational Physics and Python Applications
- Cold Atom Physics and Bose-Einstein Condensates
- Seismic Imaging and Inversion Techniques
- Adaptive optics and wavefront sensing
- Stellar, planetary, and galactic studies
- Magnetic confinement fusion research
Massachusetts Institute of Technology
2019-2024
California Institute of Technology
2017-2022
LIGO Scientific Collaboration
2021
Syracuse University
2013-2021
Max Planck Institute for Gravitational Physics
2017
Ruhr University Bochum
2014
The characterization of the Advanced LIGO detectors in second and third observing runs has increased sensitivity instruments, allowing for a higher number detectable gravitational-wave signals, provided confirmation all observed events. In this work, we present methods used to characterize curate publicly available datasets, including strain data quality products. We describe essential role these datasets LIGO-Virgo Collaboration analyses gravitational-waves from both transient persistent...
Parametric instabilities have long been studied as a potentially limiting effect in high-power interferometric gravitational wave detectors. Until now, however, these never observed kilometer-scale interferometer. In this work we describe the first observation of parametric instability an Advanced LIGO detector, and means by which it has removed barrier to progress.
This paper presents an adaptable, parallelizable method for subtracting linearly coupled noise from Advanced LIGO data. We explain the features developed to ensure that process is robust enough handle variability present in In this work, we target subtraction of due beam jitter, detector calibration lines, and mains power lines. demonstrate over entirety second observing run, resulting increases sensitivity comparable those reported previous targeted efforts. Over course see a 30% increase...
GWpy is a Python software package that provides an intuitive, object-oriented interface through which to access, process, and visualise data from gravitational-wave detectors. number of new utilities for studying data, as well improved user existing tools. The ease-of-use, along with extensive online documentation examples, has resulted in widespread adoption basis development the international community.
The Advanced Laser Interferometer Gravitational-wave Observatory (LIGO) detectors have completed their initial upgrade phase and will enter the first observing run in late 2015, with detector sensitivity expected to improve future runs. Through combined efforts of on-site commissioners Detector Characterization group LIGO Scientific Collaboration, interferometer performance, terms data quality, at both observatories has vastly improved from start commissioning present. already surpassed...
We show that gravitational-wave signals from compact binary mergers may be better distinguished instrumental noise transients by using Bayesian models look for signal coherence across a detector network. This can achieved even when the power is below usual threshold detection. method could reject vast majority of transients, and therefore increase sensitivity to weak gravitational waves. demonstrate this simulated signals, as well data GW150914 LVT151012. Finally, we explore ways...
The range to which the Laser Interferometer Gravitational-Wave Observatory (LIGO) can observe astrophysical systems varies over time, limited by noise in instruments and their environments.Identifying removing sources of that limit LIGO's enables higher signal-to-noise observations increases number observations.The LIGO observatories are continuously monitored hundreds thousands auxiliary channels may contain information about these sources.This paper describes an algorithm uses linear...
A major challenge of any search for gravitational waves is to distinguish true astrophysical signals from those terrestrial origin. Gravitational-wave experiments therefore make use multiple detectors, considering only which appear in coincidence two or more instruments. It unclear, however, how interpret loud gravitational-wave candidates observed when one detector operational. In this paper, we demonstrate that the rate binary black hole mergers can be leveraged order confident detections...
The detection of an intermediate-mass black hole population ($10^2-10^6$ $M_{\odot}$) will provide clues to their formation environments (e.g., disks active galactic nuclei, globular clusters) and illuminate a potential pathway produce supermassive holes. Ground-based gravitational-wave detectors are sensitive mergers that can form holes weighing up $\sim 450\ M_{\odot}$. However, ground-based detector data contain numerous incoherent short duration noise transients mimic the signals from...
This is the eighth post-O2 release of PyCBC for analysis data taken during Advanced LIGO's second observing run and Virgo's first run. identical to 1.9.3, except that it contains https://github.com/ligo-cbc/pycbc/commit/2557bb573c1b46fb926fbfa1345545dd15ef72ea fixes bad setup.py file in v1.9.3. This has been tested against LALSuite with hash: 8cbd1b7187ce3ed9a825d6ed11cc432f3cfde9a5 This provides functionality provide a windowing function apply segments before PSD estimation. Details changes...