A5062768014- Pulsars and Gravitational Waves Research
- Astrophysical Phenomena and Observations
- Gamma-ray bursts and supernovae
- Quantum chaos and dynamical systems
- Relativity and Gravitational Theory
- Geophysics and Gravity Measurements
- Scientific Research and Discoveries
- Statistical and numerical algorithms
- Cosmology and Gravitation Theories
- Sports Dynamics and Biomechanics
- Wireless Sensor Networks for Data Analysis
- Structural Health Monitoring Techniques
- Astro and Planetary Science
- Linguistics and language evolution
- Inertial Sensor and Navigation
- Real-time simulation and control systems
- Image and Signal Denoising Methods
- transportation and logistics systems
- Education, Psychology, and Social Research
- Geomagnetism and Paleomagnetism Studies
- Engine and Fuel Emissions
- Chaos control and synchronization
- Experimental and Theoretical Physics Studies
- Model Reduction and Neural Networks
- Magnetic confinement fusion research
Czech Academy of Sciences, Astronomical Institute
2020-2025
Friedrich Schiller University Jena
2020-2023
We present the results of first Machine Learning Gravitational-Wave Search Mock Data Challenge (MLGWSC-1). For this challenge, participating groups had to identify gravitational-wave signals from binary black hole mergers increasing complexity and duration embedded in progressively more realistic noise. The final 4 provided datasets contained real noise O3a observing run up a 20 seconds with inclusion precession effects higher order modes. average sensitivity distance runtime for 6 entered...
Compact binary systems emit gravitational radiation which is potentially detectable by current Earth bound detectors. Extracting these signals from the instruments' background noise a complex problem and computational cost of most searches depends on complexity source model. Deep learning may be capable finding where algorithms hit limits. Here we restrict our analysis to non-spinning black holes systematically test different strategies training data presented networks. To assess impact...
Inspirals of stellar-mass compact objects into supermassive black holes are known as extreme mass ratio inspirals. In the simplest approximation, motion object is modeled a geodesic in space-time massive hole with orbit decaying due to radiated energy and angular momentum, thus yielding highly regular inspiral. However, once spin secondary body taken account, integrability broken prolonged resonances along chaotic appear. We numerically integrate spinning test field nonspinning analyze it...
Searching the data of gravitational-wave detectors for signals from compact binary mergers is a computationally demanding task. Recently, machine-learning algorithms have been proposed to address current and future challenges. However, results these publications often differ greatly due differing choices in evaluation procedure. The Machine Learning Gravitational-Wave Search Challenge was organized resolve issues produce unified framework search evaluation. Six teams submitted contributions,...
The Johannsen-Psaltis spacetime is a perturbation of the Kerr designed to avoid pathologies like naked singularities and closed timelike curves. This depends not only on mass spin compact object, but also extra parameters, making deviate from Kerr; in this work we consider lowest order physically meaningful parameter. We use numerical examples show that geodesic motion can exhibit chaotic behavior. study corresponding phase space by using Poincar\'{e} sections rotation numbers behavior,...
We present the results of first Machine Learning Gravitational-Wave Search Mock Data Challenge (MLGWSC-1). For this challenge, participating groups had to identify gravitational-wave signals from binary black hole mergers increasing complexity and duration embedded in progressively more realistic noise. The final 4 provided datasets contained real noise O3a observing run up a 20 seconds with inclusion precession effects higher order modes. average sensitivity distance runtime for 6 entered...
Searching the data of gravitational-wave detectors for signals from compact binary mergers is a computationally demanding task. Recently, machine learning algorithms have been proposed to address current and future challenges. However, results these publications often differ greatly due differing choices in evaluation procedure. The Machine Learning Gravitational-Wave Search Challenge was organized resolve issues produce unified framework machine-learning search evaluation. Six teams...
The width of a resonance in nearly integrable system, i.e. non-integrable system where chaotic motion is still not prominent, can tell us how perturbation parameter driving the away from integrability. Although tool that we are presenting here be used quite generic and variety systems, our particular interest lies binary compact object systems known as extreme mass ratio inspirals (EMRIs). In an EMRI lighter object, like black hole or neutron star, into supermassive due to gravitational...
In this work the dynamics of a spinning particle moving in Schwarzschild background is studied. particular, methods Poincaré section and recurrence analysis are employed to discern chaos from order. It shown that chaotic or regular nature orbital motion reflected on gravitational waves.