A5048130192- Pulsars and Gravitational Waves Research
- Gamma-ray bursts and supernovae
- Astrophysical Phenomena and Observations
- Geophysics and Gravity Measurements
- Cosmology and Gravitation Theories
- High-pressure geophysics and materials
- Radio Astronomy Observations and Technology
- Astrophysics and Cosmic Phenomena
- Magnetic confinement fusion research
- Atomic and Subatomic Physics Research
- Geophysics and Sensor Technology
- Cloud Computing and Resource Management
- Superconducting Materials and Applications
- Dark Matter and Cosmic Phenomena
- Statistical and numerical algorithms
- Distributed and Parallel Computing Systems
- earthquake and tectonic studies
- Black Holes and Theoretical Physics
- Real-Time Systems Scheduling
- Acute Ischemic Stroke Management
- Big Data and Business Intelligence
- Radiology practices and education
- Relativity and Gravitational Theory
- Intracerebral and Subarachnoid Hemorrhage Research
- Model Reduction and Neural Networks
Inter-University Centre for Astronomy and Astrophysics
2021-2024
The University of Western Australia
2024
ARC Centre of Excellence for Gravitational Wave Discovery
2024
Australian Research Council
2024
Université Paris Cité
2023
Laboratoire AstroParticule et Cosmologie
2023
Centre National de la Recherche Scientifique
2023
Royal Prince Alfred Hospital
2017
University of Chile
2017
The University of Sydney
2017
Multimessenger searches for binary neutron star (BNS) and star-black hole (NSBH) mergers are currently one of the most exciting areas astronomy. The search joint electromagnetic neutrino counterparts to gravitational wave (GW)s has resumed with ALIGO’s, AdVirgo’s KAGRA’s fourth observing run (O4). To support this effort, public semiautomated data products sent in near real-time include localization source properties guide complementary observations. In preparation O4, we have conducted a...
ABSTRACT By the end of next decade, we hope to have detected strongly lensed gravitational waves by galaxies or clusters. Although there exist optimal methods for identifying signal, it is shown that machine learning (ML) algorithms can give comparable performance but are orders magnitude faster than non-ML methods. We present SLICK pipeline which comprises a parallel network based on deep learning. analyse Q-transform maps (QT maps) and Sine-Gaussian projection (SGP) generated binary black...
Blip glitches, a type of short-duration noise transient in the LIGO--Virgo data, are nuisance for binary black hole (BBH) searches. They affect BBH search sensitivity significantly because their time-domain morphologies very similar, and that creates difficulty vetoing them. In this work, we construct deep-learning neural network to efficiently distinguish signals from blip glitches. We introduce sine-Gaussian projection (SGP) maps, which projections GW frequency-domain data snippets on...
We show how gravitational-wave observations of binary black hole (BBH) mergers can constrain the physical characteristics a scalar field cloud parametrized by mass $\stackrel{\texttildelow{}}{\ensuremath{\mu}}$ and strength ${\ensuremath{\phi}}_{0}$ that may surround them. numerically study inspiraling equal-mass, nonspinning BBH systems dressed in such clouds, focusing especially on signals emitted their merger-ringdown phase. These waveforms clearly reveal larger values or cause bigger...
This article explores the transformative impact of AI-driven predictive analytics on cloud resource optimization, presenting a comprehensive technical implementation framework. The shows how artificial intelligence and machine learning architectures revolutionize traditional management approaches through advanced capabilities dynamic allocation. It examines evolution from static threshold-based systems to sophisticated solutions, analyzing their strategies across various organizational...
Multi-messenger searches for BNS and NSBH mergers are currently one of the most exciting areas astronomy. The search joint electromagnetic neutrino counterparts to GWs has resumed with O4. To support this effort, public semi-automated data products sent in near real-time include localization source properties guide complementary observations. In preparation O4, we have conducted a study using simulated population compact binaries MDC form replay optimize profile software infrastructure...
Short-duration noise transients in LIGO and Virgo detectors significantly affect the search sensitivity of compact binary coalescence (CBC) signals, especially high-mass region. In a previous work by authors [P. Joshi et al., Phys. Rev. D 103, 044035 (2021)], ${\ensuremath{\chi}}^{2}$ statistic was proposed to distinguish them, when modeled as sine-Gaussians, from nonspinning CBCs. The present is an extension where we demonstrate better noise-discrimination improved statistic---called...