A5083442032- Pulsars and Gravitational Waves Research
- Gamma-ray bursts and supernovae
- Astrophysical Phenomena and Observations
- Geophysics and Gravity Measurements
- Cosmology and Gravitation Theories
- Advanced Frequency and Time Standards
- Astrophysics and Cosmic Phenomena
- Geophysics and Sensor Technology
- Atomic and Subatomic Physics Research
- Stellar, planetary, and galactic studies
- Time Series Analysis and Forecasting
- Black Holes and Theoretical Physics
- Statistical and numerical algorithms
- Astronomical Observations and Instrumentation
- High-pressure geophysics and materials
- Seismology and Earthquake Studies
- Radio Astronomy Observations and Technology
- Seismic Waves and Analysis
- Forecasting Techniques and Applications
- Advanced Measurement and Metrology Techniques
- Machine Learning and Data Classification
- Data Stream Mining Techniques
- Mechanical and Optical Resonators
- Adaptive optics and wavefront sensing
- Magnetic confinement fusion research
Max Planck Institute for Gravitational Physics
2012-2017
Leibniz University Hannover
2012-2014
Max Planck Society
2014
Lomonosov Moscow State University
2008
We present an AutoML system called LightAutoML developed for a large European financial services company and its ecosystem satisfying the set of idiosyncratic requirements that this has solutions. Our framework was piloted deployed in numerous applications performed at level experienced data scientists while building high-quality ML models significantly faster than these scientists. also compare performance our with various general-purpose open source solutions show it performs better most...
Current gravitational-wave detectors rely on the use of Michelson interferometers. One crucial limitation their sensitivity is thermal noise optical components. Thus, for example, fluctuational deformations mirror surface are probed by a laser beam being reflected from mirrors at normal incidence. Thermal models well evolved that case but mainly restricted to single reflections. In this work, we present effect two consecutive reflections under non-normal incidence onto noise. This situation...
In this article, we study a particular method of detection chirp signals from coalescing compact binary stars---the so-called dynamical tuning, i.e., amplification the signal via tracking its instantaneous frequency by tuning signal-recycled detector. The motion signal-recycling mirror, position which defines detector, causes nonstationarity dynamically tuned detector can be simulated in quasistationary approximation if mirror position, amplitude, and are changing slowly. A time-domain...
We developed algorithms which allow us to find regimes of the signal-recycled Fabry-Perot--Michelson interferometer [for example, Advanced Laser Interferometric Gravitational Wave Observatory (LIGO)], optimized concurrently for two (binary inspirals $+$ bursts) and three bursts millisecond pulsars) types gravitational wave sources. show that there exists a relatively large area in parameters space where detector sensitivity first kinds sources differs only by few percent from maximal ones...
The industry is rich in cases when we are required to make forecasting for large amounts of time series at once. However, might be a situation where can not afford train separate model each them. Such issue modeling remains without due attention. remedy this setting the establishment foundation model. expected work zero-shot and few-shot regimes. what should take as training dataset such kind model? Witnessing benefits from enrichment NLP datasets with artificially-generated data, want adopt...