79 citations
- Commonwealth Scientific and Industrial Research OrganisationAU19 papers
- Curtin UniversityAU12 papers
- Mineral ResourcesAU11 papers
- The University of Western AustraliaAU7 papers
- Macquarie UniversityAU4 papers
- International Centre for Radio Astronomy ResearchAU3 papers
- California Institute of TechnologyUS2 papers
- King Abdullah University of Science and TechnologySA2 papers
- Northwestern UniversityUS2 papers
- RWTH Aachen UniversityDE2 papers
- Swinburne University of TechnologyAU2 papers
- University of California, Santa CruzUS2 papers
28 papers
Discovery of 30 Repeating Fast Radio Burst Sources and Uniform Population Statistics of 80 Repeating Sources from CHIME/FRB
Amanda M. Cook, Kaitlyn Shin, Ziggy Pleunis +44
We present 30 newly discovered repeating fast radio burst (FRB) sources from the second catalog of bursts detected by the FRB backend on the Canadian Hydrogen Intensity Mapping Exp…
50-250 MHz Pulsar Census with an SKA-Low prototype station: Spectra and Polarization
Pratik Kumar, Marcin Sokolowski, Randall Wayth
Low-frequency pulsar observations are crucial for understanding pulsar emission spectra and population physics, as well as for probing the interstellar medium (ISM) and Earth's ion…
Soft x-ray ptychography with SOPHIE: Guide and instrumentation
Tim A. Butcher, Simone Finizio, Lars Heller +7
Soft x-ray ptychography is becoming a key synchrotron microscopy technique in the fields of condensed matter physics, chemistry, and environmental and life sciences. Its attractive…
The Low-mass Dwarf Host Galaxy of Nonrepeating FRB 20230708A
August R. Muller, Alexa C. Gordon, Stuart D. Ryder +19
We present Very Large Telescope/X-Shooter spectroscopy for the host galaxies of 12 fast radio bursts (FRBs) detected by the Australian SKA Pathfinder observed through the ``Fast an…
PC-SRGAN: Physically Consistent Super-Resolution Generative Adversarial Network for General Transient Simulations
Md Rakibul Hasan, Pouria Behnoudfar, Dan MacKinlay +1
Machine Learning, particularly Generative Adversarial Networks (GANs), has revolutionised Super-Resolution (SR). However, generated images often lack physical meaningfulness, which…
WALLABY Pilot Survey: HI source-finding with a machine learning framework
Li Wang, O. Ivy Wong, Tobias Westmeier +10
The data volumes generated by the WALLABY atomic Hydrogen (HI) survey using the Australiian Square Kilometre Array Pathfinder (ASKAP) necessitate greater automation and reliable au…