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Trajectory Based RFI Subtraction and Calibration for Radio Interferometry
Chris Finlay, Bruce A. Bassett, Martin Kunz +1
Radio interferometry calibration and Radio Frequency Interference (RFI) removal are usually done separately. Here we show that jointly modelling the antenna gains and RFI has signi…
A Hitchhiker's Guide to Anomaly Detection with Astronomaly
Michelle Lochner, Bruce A. Bassett
The next generation of telescopes such as the SKA and the Rubin Observatory will produce enormous data sets, requiring automated anomaly detection to enable scientific discovery. H…
The Hydrogen Intensity and Real-time Analysis eXperiment: 256-Element Array Status and Overview
Devin Crichton, Moumita Aich, Adam Amara +97
The Hydrogen Intensity and Real-time Analysis eXperiment (HIRAX) is a radio interferometer array currently in development, with an initial 256-element array to be deployed at the S…
Astronomaly: Personalised Active Anomaly Detection in Astronomical Data
Michelle Lochner, Bruce A. Bassett
Survey telescopes such as the Vera C. Rubin Observatory and the Square Kilometre Array will discover billions of static and dynamic astronomical sources. Properly mined, these enor…
Multidimensional RFI Framework for Characterising Radio Astronomy Observatories
Isaac Sihlangu, Nadeem Oozeer, Bruce A. Bassett
Radio Frequency Interference (RFI) has historically plagued radio astronomy, worsening with the rapid spread of electronics and increasing telescope sensitivity. We present a multi…
Deep Learning improves identification of Radio Frequency Interference
Alireza Vafaei Sadr, Bruce A. Bassett, Nadeem Oozeer +2
Flagging of Radio Frequency Interference (RFI) is an increasingly important challenge in radio astronomy. We present R-Net, a deep convolutional ResNet architecture that significan…
Classification of Multiwavelength Transients with Machine Learning
K. Sooknunan, M. Lochner, Bruce A. Bassett +7
With the advent of powerful telescopes such as the Square Kilometer Array and the Vera C. Rubin Observatory, we are entering an era of multiwavelength transient astronomy that will…
First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Photometric Pipeline and Light Curve Data Release
D. Brout, M. Sako, D. Scolnic +89
We present griz light curves of 251 Type Ia Supernovae (SNe Ia) from the first 3 years of the Dark Energy Survey Supernova Program's (DES-SN) spectroscopically classified sample. T…
DeepSource: Point Source Detection using Deep Learning
A. Vafaei Sadr, Etienne. E. Vos, Bruce A. Bassett +3
Point source detection at low signal-to-noise is challenging for astronomical surveys, particularly in radio interferometry images where the noise is correlated. Machine learning i…
Bayes Factors via Savage-Dickey Supermodels
A. Mootoovaloo, Bruce A. Bassett, M. Kunz
We outline a new method to compute the Bayes Factor for model selection which bypasses the Bayesian Evidence. Our method combines multiple models into a single, nested, Supermodel…
Bayesian Inference for Radio Observations - Going beyond deconvolution
Michelle Lochner, Bruce A. Bassett, Martin Kunz +4
Radio interferometers suffer from the problem of missing information in their data, due to the gaps between the antennas. This results in artifacts, such as bright rings around sou…
Nonparametric Transient Classification using Adaptive Wavelets
Melvin M. Varughese, Rainer von Sachs, Michael Stephanou +1
Classifying transients based on multi band light curves is a challenging but crucial problem in the era of GAIA and LSST since the sheer volume of transients will make spectroscopi…
Bayesian Inference for Radio Observations
Michelle Lochner, Iniyan Natarajan, Jonathan T. L. Zwart +4
New telescopes like the Square Kilometre Array (SKA) will push into a new sensitivity regime and expose systematics, such as direction-dependent effects, that could previously be i…
BEAMS: separating the wheat from the chaff in supernova analysis
Martin Kunz, Renée Hlozek, Bruce A. Bassett +3
We introduce Bayesian Estimation Applied to Multiple Species (BEAMS), an algorithm designed to deal with parameter estimation when using contaminated data. We present the algorithm…
Parameter Estimation with BEAMS in the presence of biases and correlations
James Newling, Bruce. A. Bassett, Renée Hlozek +3
The original formulation of BEAMS - Bayesian Estimation Applied to Multiple Species - showed how to use a dataset contaminated by points of multiple underlying types to perform unb…
Fisher4Cast Users' Manual
Bruce A. Bassett, Yabebal Fantaye, Renée Hlozek +1
This is the Users' Manual for the Fisher Matrix software Fisher4Cast and covers installation, GUI help, command line basics, code flow and data structure, as well as cosmological a…