activity
20192022
most citedRevealing x-ray and gamma ray temporal and spectral similarities in the GRB 190829A afterglow

172 citations · 483 across the 15 of their papers we have counts for

collaborators
Showing astro-ph.IMShow all

7 papers · 1 filter

astro-ph.IM202128 cited

TeV emission of Galactic plane sources with HAWC and H.E.S.S

H. Abdalla, F. Aharonian, F. Ait Benkhali +318

The High Altitude Water Cherenkov (HAWC) observatory and the High Energy Stereoscopic System (H.E.S.S.) are two leading instruments in the ground-based very-high-energy gamma-ray d…

astro-ph.IM202130 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

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.IM202140 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…

astro-ph.IM20205 cited

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…

astro-ph.IM2020

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…