D. Meacher
A5070501422- Pulsars and Gravitational Waves Research
- Gamma-ray bursts and supernovae
- Astrophysical Phenomena and Observations
- Cosmology and Gravitation Theories
- Geophysics and Gravity Measurements
- High-pressure geophysics and materials
- Astronomical Observations and Instrumentation
- Astrophysics and Cosmic Phenomena
- Seismology and Earthquake Studies
- Geophysics and Sensor Technology
- Machine Fault Diagnosis Techniques
- Atomic and Subatomic Physics Research
- Electricity Theft Detection Techniques
- Electrical Fault Detection and Protection
- Magnetic confinement fusion research
- Radiology practices and education
- Scientific Research and Discoveries
- GNSS positioning and interference
- Time Series Analysis and Forecasting
- Particle Accelerators and Free-Electron Lasers
- earthquake and tectonic studies
- Dark Matter and Cosmic Phenomena
- Seismic Waves and Analysis
- Statistical and numerical algorithms
- Black Holes and Theoretical Physics
University of Wisconsin–Milwaukee
2020-2024
Starting from May 2023, the LIGO Scientific, Virgo and KAGRA Collaboration has been conducting fourth observing run with improved detector sensitivities an expanded network including KAGRA. Accordingly, it is vital to optimize detection algorithm of low-latency search pipelines, increasing their gravitational waves compact binary coalescences. In this work, we discuss several new features developed for ranking statistics GstLAL-based inspiral pipeline, which mainly consist signal...
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...
Matched-filtering gravitational-wave search pipelines identify signals by computing correlations, i.e., signal-to-noise ratios, between detector data and template waveforms. Intrinsic parameters, the component masses spins, of waveforms are often stored in "template banks," construction a densely populated bank is essential for some pipelines. This paper presents that currently being used GstLAL-based compact binary pipeline fourth observing run LIGO, Virgo, KAGRA collaboration, was...
Precession in binary black holes (BBH) is caused by the failure of hole spins to be aligned and its study can open up new perspectives gravitational wave astronomy, providing, among other advancements, a precise measure distance an accurate characterization BBH spins. However, detecting precessing signals highly nontrivial task, as standard matched filtering pipelines for searches are built on many assumptions that do not hold case. This work details upgrades made GstLAL pipeline facilitate...
We demonstrate a new geometric method for fast template placement searches gravitational waves from the inspiral, merger and ringdown of compact binaries. The is based on binary tree decomposition bank parameter space into nonoverlapping hypercubes. use numerical approximation signal overlap metric at center each hypercube to estimate number templates required cover determine whether further split hypercube. As long as expected in given cube greater than threshold, we along its longest edge...
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...
GstLAL is a stream-based matched-filtering search pipeline aiming at the prompt discovery of gravitational waves from compact binary coalescences such as mergers black holes and neutron stars. Over past three observation runs by LIGO, Virgo, KAGRA (LVK) collaboration, has participated in several tens wave discoveries. The fourth observing run (O4) set to begin May 2023 expected see many new interesting signals which will inform our understanding astrophysics cosmology. We describe current...
Starting from May 2023, the LIGO Scientific, Virgo and KAGRA Collaboration is planning to conduct fourth observing run with improved detector sensitivities an expanded network including KAGRA. Accordingly, it vital optimize detection algorithm of low-latency search pipelines, increasing their gravitational waves compact binary coalescences. In this work, we discuss several new features developed for ranking statistics GstLAL-based inspiral pipeline, which mainly consist of: signal...
Precession in Binary Black Holes (BBH) is caused by the failure of Hole spins to be aligned and its study can open up new perspectives gravitational waves (GW) astronomy, providing, among other advancements, a precise measure distance an accurate characterization BBH spins. However, detecting precessing signals highly non-trivial task, as standard matched filtering pipelines for GW searches are built on many assumptions that do not hold case. This work details upgrades made GstLAL pipeline...
Leveraging the features of GstLAL pipeline, we present results a matched filtering search for asymmetric binary black hole systems with heavily mis-aligned spins in LIGO and Virgo data taken during third observing run. Our target show strong imprints precession current searches have non-optimal sensitivity detecting them. After measuring improvement brought by our over standard spin-aligned searches, report detection 30 gravitational wave events already discovered latest Gravitational Wave...
Matched-filtering searches for gravitational-wave signals from compact binary mergers employ template banks which are a collection of modeled waveforms described by unique intrinsic parameters. We present two designed low-latency and archive sub-solar mass (SSM) in data the fourth observing run LIGO-Virgo-KAGRA, demonstrate efficacy via simulated signals. Further, we introduce set modifications to geometric, manifold algorithm that allow method work exceedingly low component masses necessary...
The GstLAL library, derived from Gstreamer and the LIGO Algorithm Library, supports a stream-based approach to gravitational-wave data processing. Although was primarily designed search for signatures of merging black holes neutron stars, it has also contributed other searches, calibration, detector-characterization efforts. played an integral role in all LIGO-Virgo collaboration detections, its low-latency configuration enabled rapid electromagnetic follow-up dozens compact binary candidates.
We develop a robust and self-consistent framework to extract classify gravitational wave candidates from noisy data, for the purpose of assisting in real-time multi-messenger follow-ups during LIGO-Virgo-KAGRA's fourth observing run~(O4). Our formalism implements several improvements low latency calculation probability astrophysical origin~(\PASTRO{}), so as correctly account various factors such sensitivity change between runs, deviation recovered template waveform true signal that can...
Background estimation is important for determining the statistical significance of a gravitational-wave event. Currently, background model constructed numerically from strain data using techniques that insulate any potential signals. However, as observation signals become frequent, effectiveness such insulation will decrease. Contamination occurs when leak into model. In this work, we demonstrate an improved technique searches gravitational waves (GWs) binary neutron star coalescences by...