
Publications
Fast methods for training Gaussian processes on large datasets.
– Royal Society open science
(2016)
3,
160125
(doi: 10.1098/rsos.160125)
GW150914: The Advanced LIGO Detectors in the Era of First Discoveries
– Physical Review Letters
(2016)
116,
131103
GW150914: Implications for the Stochastic Gravitational-Wave Background from Binary Black Holes
– Phys Rev Lett
(2016)
116,
131102
Improving gravitational-wave parameter estimation using Gaussian process regression
– Physical Review D
(2016)
93,
064001
(doi: 10.1103/physrevd.93.064001)
All-sky search for long-duration gravitational wave transients with initial LIGO
– Physical Review D
(2016)
93,
042005
(doi: 10.1103/PhysRevD.93.042005)
Observation of Gravitational Waves from a Binary Black Hole Merger
– Physical Review Letters
(2016)
116,
061102
ASTROPHYSICAL IMPLICATIONS OF THE BINARY BLACK HOLE MERGER GW150914
– Astrophysical Journal Letters
(2016)
818,
L22
(doi: 10.3847/2041-8205/818/2/l22)
Prospects for Observing and Localizing Gravitational-Wave Transients with Advanced LIGO and Advanced Virgo.
– Living reviews in relativity
(2016)
19,
3
(doi: 10.1007/s41114-020-00026-9)
UPPER LIMITS on the RATES of BINARY NEUTRON STAR and NEUTRON STAR-BLACK HOLE MERGERS from ADVANCED LIGO'S FIRST OBSERVING RUN
– Astrophysical Journal Letters
(2016)
832,
l21
(doi: 10.3847/2041-8205/832/2/l21)
Testing the no-hair property of black holes with x-ray observations of accretion disks
– Physical Review D
(2015)
92,
024039
(doi: 10.1103/PhysRevD.92.024039)
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