A5061109363- Radio Astronomy Observations and Technology
- Pulsars and Gravitational Waves Research
- Artificial Intelligence in Games
- Remote Sensing in Agriculture
- Cosmology and Gravitation Theories
- Adaptive optics and wavefront sensing
- Video Analysis and Summarization
- Astronomy and Astrophysical Research
- Gamma-ray bursts and supernovae
- Relativity and Gravitational Theory
- Gaussian Processes and Bayesian Inference
- Advanced Thermodynamics and Statistical Mechanics
- Planetary Science and Exploration
- Space Exploration and Technology
- Comics and Graphic Narratives
- Aesthetic Perception and Analysis
- Digital Games and Media
- Galaxies: Formation, Evolution, Phenomena
University College London
2021-2023
We present a new constraint on the Hubble constant $H_0$ using sample of well-localized gravitational wave (GW) events detected during first three LIGO/Virgo observing runs as dark standard sirens. In case sirens, unique host galaxy is not identified, and redshift information comes from distribution potential galaxies. From third run detections, we add asymmetric-mass binary black hole GW190412, high-confidence GW candidates S191204r, S200129m, S200311bg to sirens analyzed. Our contains top...
We demonstrate that highly accurate joint redshift-stellar mass probability distribution functions (PDFs) can be obtained using the Random Forest (RF) machine learning (ML) algorithm, even with few photometric bands available. As an example, we use Dark Energy Survey (DES), combined COSMOS2015 catalogue for redshifts and stellar masses. build two ML models: one containing deep photometry in $griz$ bands, second reflecting scatter present main DES survey, carefully constructed representative...
We present a new constraint on the Hubble constant $H_0$ using sample of well-localized gravitational wave (GW) events detected during first three LIGO/Virgo observing runs as dark standard sirens. In case sirens, unique host galaxy is not identified, and redshift information comes from distribution potential galaxies. From third run detections, we add asymmetric-mass binary black hole GW190412, high-confidence GW candidates S191204r, S200129m, S200311bg to sirens analyzed. Our contains top...
Understanding how galaxies form and evolve is at the heart of modern astronomy. With advent large-scale surveys simulations, remarkable progress has been made in last few decades. Despite this, physical processes behind phenomena, particularly their importance, remain far from known, as correlations have primarily established rather than underlying causality. We address this challenge by applying causal inference framework. Specifically, we tackle fundamental open question whether galaxy...