Weichangfeng Guo
A5003509345- Pulsars and Gravitational Waves Research
- Gamma-ray bursts and supernovae
- Business Strategy and Innovation
- Astrophysical Phenomena and Observations
- Cosmology and Gravitation Theories
- Dark Matter and Cosmic Phenomena
- Distributed and Parallel Computing Systems
- Time Series Analysis and Forecasting
- earthquake and tectonic studies
- High-pressure geophysics and materials
- GNSS positioning and interference
- Geophysics and Gravity Measurements
- Computational Physics and Python Applications
- Scientific Computing and Data Management
- Astrophysics and Cosmic Phenomena
The University of Western Australia
2024
ARC Centre of Excellence for Gravitational Wave Discovery
2024
Australian Research Council
2024
Beijing Normal University
2022
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 As the number of gravitational wave observations has increased in recent years, variety sources broadened. Here, we investigate whether it is possible for current generation detectors to distinguish between very short-lived signals from mergers high-mass black holes and signal produced by a close encounter two holes, which results capture ultimately merger. We compare posterior probability distributions analysing simulated both types progenitor events, under ideal realistic...
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...
Modern large-scale physics experiments create datasets with sizes and streaming rates that can exceed those from industry leaders such as Google Cloud Netflix. Fully processing these requires both sufficient compute power efficient workflows. Recent advances in Machine Learning (ML) Artificial Intelligence (AI) either improve or replace existing domain-specific algorithms to increase workflow efficiency. Not only the performance of current algorithms, but they often be executed more quickly,...