415 citations · 3.2k across the 69 of their papers we have counts for
28 papers · 1 filter
LIGO Detector Characterization in the Second and Third Parts of the Fourth Observing Run
J. Glanzer, A. F. Helmling-Cornell, A. Calafat +244
LIGO detector characterization efforts enabled the confident detection of gravitational waves from hundreds of compact binary coalescences during the fourth observing run. Reliable…
The Gravitational-wave Optical Transient Observer (GOTO) data pipeline and workflow for transient discovery
J. D. Lyman, D. O'Neill, T. Killestein +45
Wide-field and high-cadence sky surveys are the first step in the chain of discovery and characterisation of astrophysical transients such as supernovae, kilonovae, and tidal disru…
LIGO Detector Characterization in the first half of the fourth Observing run
S. Soni, B. K. Berger, D. Davis +232
Progress in gravitational-wave astronomy depends upon having sensitive detectors with good data quality. Since the end of the LIGO-Virgo-KAGRA third Observing run in March 2020, de…
GERry: A Code to Optimise the Hunt for the Electromagnetic Counter-parts to Gravitational Wave Events
David O'Neill, Joseph Lyman, Kendall Ackley +19
The search for the electromagnetic counterparts to gravitational wave (GW) events has been rapidly gathering pace in recent years thanks to the increasing number and capabilities o…
The Gravitational-wave Optical Transient Observer (GOTO)
Martin J. Dyer, Kendall Ackley, Felipe Jiménez-Ibarra +19
The Gravitational-wave Optical Transient Observer (GOTO) is a project dedicated to identifying optical counter-parts to gravitational-wave detections using a network of dedicated,…
: the GOTO project for real-time citizen science in time-domain astrophysics
T. L. Killestein, L. Kelsey, E. Wickens +51
Time-domain astrophysics continues to grow rapidly, with the inception of new surveys drastically increasing data volumes. Democratised, distributed approaches to training sets for…
BILBY in space: Bayesian inference for transient gravitational-wave signals observed with LISA
Charlie Hoy, Laura K. Nuttall
The Laser Interferometer Space Antenna (LISA) is scheduled to launch in the mid 2030s, and is expected to observe gravitational-wave candidates from massive black-hole binary merge…
Adapting the PyCBC pipeline to find and infer the properties of gravitational waves from massive black hole binaries in LISA
Connor R. Weaving, Laura K. Nuttall, Ian W. Harry +2
The Laser Interferometer Space Antenna (LISA), due for launch in the mid 2030s, is expected to observe gravitational waves (GW)s from merging massive black hole binaries (MBHB)s. T…
The Gravitational-wave Optical Transient Observer (GOTO)
Martin J. Dyer, Kendall Ackley, Joe Lyman +12
The Gravitational-wave Optical Transient Observer (GOTO) is a wide-field telescope project focused on detecting optical counterparts to gravitational-wave sources. Each GOTO roboti…
The Gravitational-wave Optical Transient Observer (GOTO): prototype performance and prospects for transient science
D. Steeghs, D. K. Galloway, K. Ackley +50
The Gravitational-wave Optical Transient Observer (GOTO) is an array of wide-field optical telescopes, designed to exploit new discoveries from the next generation of gravitational…
SkyPy: A package for modelling the Universe
Adam Amara, Lucia F. de la Bella, Simon Birrer +18
SkyPy is an open-source Python package for simulating the astrophysical sky. It comprises a library of physical and empirical models across a range of observables and a command-lin…
Light curve classification with recurrent neural networks for GOTO: dealing with imbalanced data
U. F. Burhanudin, J. R. Maund, T. Killestein +42
The advent of wide-field sky surveys has led to the growth of transient and variable source discoveries. The data deluge produced by these surveys has necessitated the use of machi…
Processing GOTO data with the Rubin Observatory LSST Science Pipelines II: Forced Photometry and light curves
L. Makrygianni, J. Mullaney, V. Dhillon +45
We have adapted the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) Science Pipelines to process data from the Gravitational-Wave Optical Transient Observer (GOTO)…
Transient-optimised real-bogus classification with Bayesian Convolutional Neural Networks -- sifting the GOTO candidate stream
T. L. Killestein, J. Lyman, D. Steeghs +45
Large-scale sky surveys have played a transformative role in our understanding of astrophysical transients, only made possible by increasingly powerful machine learning-based filte…
LIGO Detector Characterization in the Second and Third Observing Runs
D. Davis, J. S. Areeda, B. K. Berger +284
The characterization of the Advanced LIGO detectors in the second and third observing runs has increased the sensitivity of the instruments, allowing for a higher number of detecta…
Environmental Noise in Advanced LIGO Detectors
P. Nguyen, R. M. S. Schofield, A. Effler +215
The sensitivity of the Advanced LIGO detectors to gravitational waves can be affected by environmental disturbances external to the detectors themselves. Since the transition from…
The Issues of Mismodelling Gravitational-Wave Data for Parameter Estimation
O Edy, A. Lundgren, L. K. Nuttall
Bayesian inference is used to extract unknown parameters from gravitational wave signals. Detector noise is typically modelled as stationary, although data from the LIGO and Virgo…
The Gravitational-wave Optical Transient Observer (GOTO)
Martin J. Dyer, Danny Steeghs, Duncan K. Galloway +12
The Gravitational-wave Optical Transient Observer (GOTO) is a wide-field telescope project focused on detecting optical counterparts to gravitational-wave sources. GOTO uses arrays…
Processing GOTO data with the Rubin Observatory LSST Science Pipelines I : Production of coadded frames
J. R. Mullaney, L. Makrygianni, V. Dhillon +44
The past few decades have seen the burgeoning of wide field, high cadence surveys, the most formidable of which will be the Legacy Survey of Space and Time (LSST) to be conducted b…
Sensitivity and Performance of the Advanced LIGO Detectors in the Third Observing Run
LIGO Instrument Science List, :, A. Buikema +197
On April 1st, 2019, the Advanced Laser Interferometer Gravitational-Wave Observatory (aLIGO), joined by the Advanced Virgo detector, began the third observing run, a year-long dedi…
Machine Learning for Transient Recognition in Difference Imaging With Minimum Sampling Effort
Yik-Lun Mong, Kendall Ackley, Duncan Galloway +45
The amount of observational data produced by time-domain astronomy is exponentially in-creasing. Human inspection alone is not an effective way to identify genuine transients fromt…
Reducing Scattered Light in LIGO's Third Observing Run
S Soni, C Austin, A Effler +195
Noise due to scattered light has been a frequent disturbance in the Advanced LIGO gravitational wave detectors, hindering the detection of gravitational waves. The non stationary s…
Dynamic Normalization for Compact Binary Coalescence Searches in Non-Stationary Noise
S. Mozzon, L. K. Nuttall, A. Lundgren +3
The output of gravitational-wave interferometers, such as LIGO and Virgo, can be highly non-stationary. Broadband detector noise can affect the detector sensitivity on the order of…
Improving the Sensitivity of Advanced LIGO Using Noise Subtraction
D. Davis, T. J. Massinger, A. P. Lundgren +3
This paper presents an adaptable, parallelizable method for subtracting linearly coupled noise from Advanced LIGO data. We explain the features developed to ensure that the process…