- Gamma-ray bursts and supernovae
- Astrophysical Phenomena and Observations
- Astronomical Observations and Instrumentation
- Astrophysics and Cosmic Phenomena
- Earthquake Detection and Analysis
- Adversarial Robustness in Machine Learning
- Atrial Fibrillation Management and Outcomes
- Cerebrovascular and Carotid Artery Diseases
- Pulsars and Gravitational Waves Research
- Cardiac Imaging and Diagnostics
Liverpool John Moores University
2020-2023
Wide-field time domain facilities detect transient events in large numbers through difference imaging. For example, Zwicky Transient Facility produces alerts for hundreds of thousands per night, a rate set to be dwarfed by the upcoming Vera Rubin Observatory. The automation provided Machine Learning (ML) is, therefore, necessary classify these and select most interesting sources follow-up observations. Cataclysmic Variables (CVs) are class that numerous, bright, nearby, providing excellent...
Advancements in artificial intelligence (AI) and Internet of Things (IoT) technologies have catalyzed the evolution autonomous driving systems (ADSs), with image classification deep learning (DL) models serving as cornerstone their decision-making frameworks. Deep neural networks are employed highly sophisticated unforeseeable environments such advanced industrial automation, vehicles, financial forecasting. While these excel navigating complex scenarios, susceptibility to adversarial...
Cataclysmic variables (CV) encompass a diverse array of accreting white dwarf binary systems. Each class CV represents snapshot along an evolutionary journey, one with the potential to trigger type Ia supernova event. The study CVs offers valuable insights into evolution and accretion physics, rarest examples potentially providing deepest insights. However, escalating number detected transients, coupled our limited capacity investigate them all, poses challenges in identifying such rarities....
Abstract In 2015 June, the symbiotic binary star AG Pegasi underwent a period of outburst. SkyCam T, mounted onboard 2 m Liverpool Telescope, collected over 650 unfiltered images this event, and several thousand from before after. This note presents Sloan r ′ band light curves obtained these images. addition, color–magnitude diagram (CMD) using AAVSO data is included to infer parameters system’s white dwarf (WD). Features in curve allow one classify outburst as that classical (or Z And)...
Abstract Between 2015 September and 2016 January, we obtained 18 spectra of the classical outburst AG Pegasi—a symbiotic star consisting a white dwarf (WD), red giant, surrounding nebula. Modelling flux contributions these components reveals that nebular emission, from reprocessing high energy WD photons, dominates 3200–6300 Å range. Nebular emission rises falls in line with changes seen WD, whose properties have been derived using H β He ii (4686 A) flux, measure calculations. parameters...