1.5k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Tartu ObservatoryEE58 papers
- University of TartuEE50 papers
- International Center for Relativistic AstrophysicsIT28 papers
- Leibniz Institute for Astrophysics PotsdamDE15 papers
- University of TurkuFI15 papers
- National Institute of Chemical Physics and BiophysicsEE14 papers
- Centre National de la Recherche ScientifiqueFR11 papers
- Instituto de Astrofísica de CanariasES7 papers
- Universidad de La LagunaES7 papers
- Universitat de ValènciaES7 papers
- University of HelsinkiFI7 papers
- Korea Institute for Advanced StudyKR6 papers
5 papers · 1 filter
Galaxy Spectra neural Network (GaSNet). II. Using Deep Learning for Spectral Classification and Redshift Predictions
Fucheng Zhong, Nicola R. Napolitano, Caroline Heneka +25
Large sky spectroscopic surveys have reached the scale of photometric surveys in terms of sample sizes and data complexity. These huge datasets require efficient, accurate, and fle…
Statistically bias-minimized peculiar velocity catalogs from Gibbs point processes and Bayesian inference
Jenny G. Sorce, Radu S. Stoica, Elmo Tempel
Galaxy peculiar velocities are excellent cosmological probes provided that biases inherent to their measurements are contained before any study. This paper proposes a new algorithm…
Evolution of matter and galaxy clustering in cosmological hydrodynamical simulations
Jaan Einasto, Gert Hütsi, Lauri-Juhan Liivamägi +4
We quantify the evolution of matter and galaxy clustering in cosmological hydrodynamical simulations via correlation and bias functions of matter and galaxies. We use simulations T…
Cosmic metal invaders: Intergalactic OVII as a tracer of the warm-hot intergalactic medium within cosmic filaments in the EAGLE simulation
T. Tuominen, J. Nevalainen, P. Heinämäki +5
The current observational status of the hot (log T(K) > 5.5) warm-hot intergalactic medium (WHIM) remains incomplete. While recent observations from stacking large numbers of Cosmi…
Using photometric redshift data to improve the detection of galactic filaments with the Bisous model
Moorits Mihkel Muru, Elmo Tempel
Filament finders are limited, among other things, by the abundance of spectroscopic redshift data. As there are proportionally more photometric redshift data than spectroscopic, we…