A5031914638- Pulsars and Gravitational Waves Research
- Gamma-ray bursts and supernovae
- Astrophysical Phenomena and Observations
- High-pressure geophysics and materials
- Astrophysics and Cosmic Phenomena
- Geophysics and Gravity Measurements
- Cosmology and Gravitation Theories
- Seismic Waves and Analysis
- Geophysics and Sensor Technology
- Astronomical Observations and Instrumentation
- Control Systems and Identification
- Astronomy and Astrophysical Research
- Galaxies: Formation, Evolution, Phenomena
- Statistical and numerical algorithms
- earthquake and tectonic studies
- Gaussian Processes and Bayesian Inference
- Radio Astronomy Observations and Technology
- Cold Atom Physics and Bose-Einstein Condensates
- Superconducting and THz Device Technology
- Magnetic confinement fusion research
- Adaptive optics and wavefront sensing
- Black Holes and Theoretical Physics
- Seismic Imaging and Inversion Techniques
- Dark Matter and Cosmic Phenomena
- Seismology and Earthquake Studies
National Tsing Hua University
2019-2024
National Taiwan Normal University
2023
Strong gravitational lensing of waves can produce duplicate signals separated in time with different amplitudes. We consider the case which strong produces superthreshold gravitational-wave events and weaker subthreshold buried noise background. present GstLAL-based TargetEd Subthreshold Lensing seArch search method for using reduced template banks targeting specific confirmed events. perform a simulation campaign to assess performance proposed method. show that it effectively uprank...
ABSTRACT Fulfilling the rich promise of rapid advances in time-domain astronomy is only possible through confronting our observations with physical models and extracting parameters that best describe what we see. Here, introduce redback; a Bayesian inference software package for electromagnetic transients. redback provides an object-orientated python interface to over 12 different samplers 100 kilonovae, supernovae, gamma-ray burst afterglows, tidal disruption events, engine-driven...
Abstract KAGRA, the kilometer-scale underground gravitational-wave detector, is located at Kamioka, Japan. In April 2020, an astrophysics observation was performed KAGRA detector in combination with GEO 600 detector; this operation called O3GK. The optical configuration O3GK based on a power-recycled Fabry–Pérot–Michelson interferometer; all mirrors were set room temperature. duty factor of approximately 53%, and displacement sensitivity 1 × 10−18 ${\rm m}/\sqrt{\rm {Hz}}$ 250 Hz....
Abstract We present a novel fully Bayesian analysis to constrain short gamma-ray burst (sGRB) jet structures associated with cocoon, wide-angle, and simple top-hat models, as well the binary neutron star (BNS) merger rate. These constraints are made given distance inclination information from GW170817, observed flux of GRB 170817A, rate sGRBs detected by Swift, inferred LIGO’s first second observing runs. A separate is conducted where fitted sGRB luminosity function included provide further...
Abstract The discovery of the optical counterpart, along with gravitational waves (GWs) from GW170817, first binary neutron star merger has opened up a new era for multimessenger astrophysics. Combining GW data also known as AT 2017gfo and classified kilonova, revealed nature compact merging systems by extracting enriched information about total mass, mass ratio, system geometry, equation state. Even though detection kilonovae brought revolution in domain astronomy, there been only one...
For gravitational wave (GW) detected neutron star mergers, one of the leading candidates for electromagnetic (EM) counterparts is afterglow from an ultra-relativistic jet. Where this observed, it will likely be viewed off-axis, such as following GW170817/GRB 170817A. The temporal behaviour off-axis observed GRB can used to reveal lateral jet structure, and statistical model fits put constraints on various free-parameters. Amongst these parameters inclination system line sight. Along with GW...
Fulfilling the rich promise of rapid advances in time-domain astronomy is only possible through confronting our observations with physical models and extracting parameters that best describe what we see. Here, introduce {\sc Redback}; a Bayesian inference software package for electromagnetic transients. Redback} provides an object-orientated python} interface to over 12 different samplers 100 kilonovae, supernovae, gamma-ray burst afterglows, tidal disruption events, engine-driven transients...
Observing nearby galaxies with submillimeter telescopes on the ground has two major challenges. First, brightness is significantly reduced at long wavelengths compared to peak of dust emission. Second, it necessary use a high-pass spatial filter remove atmospheric noise large angular scales, which unwelcome by-product also removing galaxy's large-scale structure. We have developed technique for producing high-resolution images size by using telescope determine small-scale structure (the...
In April 2020, KAGRA conducted its first science observation in combination with the GEO~600 detector (O3GK) for two weeks. According to noise budget estimation, suspension control low frequency band and acoustic middle are identified as dominant contribution. this study, we show that such can be reduced offline data analysis by utilizing a method called Independent Component Analysis (ICA). Here ICA model is extended from one studied iKAGRA incorporating dependence while linearity...
We present a novel fully Bayesian analysis to constrain short gamma-ray burst jet structures associated with cocoon, wide-angle and simple top-hat models, as well the binary neutron star merger rate. These constraints are made given distance inclination information from GW170817, observed flux of GRB170817A, rate bursts detected by Swift, inferred LIGO's first second observing runs. A separate is conducted where fitted luminosity function included provide further constraints. The structure...
In the field of multi-messenger astronomy, Bayesian inference is commonly adopted to compare compatibility models given observed data. However, describe a physical system like neutron star mergers and their associated gamma-ray burst (GRB) events, usually more than ten parameters are incorporated in model. With such complex model, likelihood evaluation for each Monte Carlo sampling point becomes massive task requires significant amount computational power. this work, we perform quick...
For gravitational wave (GW) detected neutron star mergers, one of the leading candidates for electromagnetic (EM) counterparts is afterglow from an ultra-relativistic jet. Where this observed, it will likely be viewed off-axis, such as following GW170817/GRB 170817A. The temporal behaviour off-axis observed GRB can used to reveal lateral jet structure, and statistical model fits put constraints on various free-parameters. Amongst these parameters inclination system line sight. Along with GW...
The discovery of the optical counterpart, along with gravitational waves from GW170817, first binary neutron star merger, opened up a new era for multi-messenger astrophysics. Combining GW data also known as AT2017gfo, classified kilonova, has revealed nature compact merging systems by extracting enriched information about total mass, mass ratio, system geometry, and equation state. Even though detection kilonova brought revolution in domain astronomy, since there been only one wave detected...
For the first time, we present a Bayesian time-resolved spectral study of X-ray afterglow datasets GW170817/GRB17017A observed by Chandra Observatory. These include all 12 public datasets, from earliest observation taken at $\rm t \sim 9~d$ to newest 359~d$ post-merger. While our results are consistent with other works using Cash statistic within uncertainty, analysis performed in this work have yielded Gaussian-like parameter distributions. We also obtained uncertainties directly their...