activity
20132026
most citedSearching for Electromagnetic Counterparts to Gravitational-wave Merger Events with the Prototype Gravitational-wave Optical Transient Observer (GOTO-4)

108 citations · 804 across the 43 of their papers we have counts for

collaborators
Showing 2021Show all

11 papers · 1 filter

astro-ph.EP2021★ 10 cited

The Transit Timing and Atmosphere of Hot Jupiter HAT-P-37b

Napaporn A-thano, Ing-Guey Jiang, Supachai Awiphan +13

The transit timing variation (TTV) and transmission spectroscopy analyses of the planet HAT-P-37b, which is a hot Jupiter orbiting an G-type star, were performed. Nine new transit…

astro-ph.GA2021★ 19 cited

Single-lens mass measurement in the high-magnification microlensing event Gaia19bld located in the Galactic disc

K. A. Rybicki, Ł. Wyrzykowski, E. Bachelet +66

We present the photometric analysis of Gaia19bld, a high-magnification () microlensing event located in the southern Galactic plane, which exhibited finite source and m…

astro-ph.IM2021★ 3 cited

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…

astro-ph.EP2021

Eclipse timing variations in the WD+dM eclipsing binary RR Cae

R. Rattanamala, S. Awiphan, S. Komonjinda +9

We present the binary model and the eclipse timing variations of the eclipsing binary RR Cae, which consists of a white dwarf eclipsed by an M-type dwarf companion. The multi-wavel…

astro-ph.HE2021★ 10 cited

Searching For Fermi GRB Optical Counterparts With The Prototype Gravitational-Wave Optical Transient Observer (GOTO)

Y. -L. Mong, K. Ackley, D. K. Galloway +45

The typical detection rate of gamma-ray burst (GRB) per day by the \emph{Fermi} Gamma-ray Burst Monitor (GBM) provides a valuable opportunity to further our understanding o…

astro-ph.IM2021★ 30 cited

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…

astro-ph.IM2021★ 3 cited

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)…

astro-ph.EP2021★ 27 cited

A transit timing variation observed for the long-period extremely low density exoplanet HIP 41378f

Edward M. Bryant, Daniel Bayliss, Alexandre Santerne +47

HIP 41378 f is a temperate planet with period of 542.08 days and an extremely low density of g cm. It transits the bright star HIP 41378…

astro-ph.IM2021★ 6 cited

Deep Contrast and Companion Detection Using the EvWaCo Testbed Equipped with an Achromatic Focal Plane Mask and an Adjustable Inner Working Angle

M. A. Alagao, A. Kawinkij, C. Buisset +21

The evanescent wave coronagraph uses the principle of frustrated total internal reflection (FTIR) to suppress the light coming from the star and study its close environment. Its fo…

astro-ph.EP2021★ 1 cited

TransitFit: combined multi-instrument exoplanet transit fitting for JWST, HST and ground-based transmission spectroscopy studies

J. J. C. Hayes, A. Priyadarshi, E. Kerins +19

We present TransitFit, a package designed to fit exoplanetary transit light-curves. TransitFit offers multi-epoch, multi-wavelength fitting of multi-telescope transit data. Transit…

astro-ph.IM2021★ 40 cited

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…