
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
– Physical review letters
(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)
ASTROPHYSICAL IMPLICATIONS of the BINARY BLACK HOLE MERGER GW150914
– Astrophysical Journal Letters
(2016)
818,
L22
(doi: 10.3847/2041-8205/818/2/l22)
Observation of gravitational waves from a binary black hole merger
– Physical review letters
(2016)
116,
061102
Prospects for Observing and Localizing Gravitational-Wave Transients with Advanced LIGO and Advanced Virgo
– Living Reviews in Relativity
(2016)
23,
3
(doi: 10.1007/s41114-016-0002-8)
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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