Search Publications

1-DREAM: 1D Recovery, Extraction and Analysis of Manifolds in noisy environments
DOI: 10.1016/j.ascom.2022.100658 Bibcode: 2022A&C....4100658C

Smith, R.; Peletier, R.; Mastropietro, M. +7 more

Filamentary structures (one-dimensional manifolds) are ubiquitous in astronomical data sets. Be it in particle simulations or observations, filaments are always tracers of a perturbation in the equilibrium of the studied system and hold essential information on its history and future evolution. However, the recovery of such structures is often com…

2022 Astronomy and Computing
Gaia 6
Sensitivity estimation for dark matter subhalos in synthetic Gaia DR2 using deep learning
DOI: 10.1016/j.ascom.2022.100667 Bibcode: 2022A&C....4100667B

Benito, M.; Bazarov, A.; Hütsi, G. +3 more

The abundance of dark matter subhalos orbiting a host galaxy is a generic prediction of the cosmological framework, and is a promising way to constrain the nature of dark matter. In this paper, we investigate the use of machine learning-based tools to quantify the magnitude of phase-space perturbations caused by the passage of dark matter subhalos…

2022 Astronomy and Computing
Gaia 5
The Gaia AVU-GSR parallel solver: Preliminary studies of a LSQR-based application in perspective of exascale systems
DOI: 10.1016/j.ascom.2022.100660 Bibcode: 2022A&C....4100660C

Lattanzi, M. G.; Becciani, U.; Bucciarelli, B. +6 more

The Gaia Astrometric Verification Unit-Global Sphere Reconstruction (AVU-GSR) Parallel Solver aims to find the astrometric parameters for ∼ 108 stars in the Milky Way, the attitude and the instrumental specifications of the Gaia satellite, and the global parameter γ of the post Newtonian formalism. The code iteratively solves a system o…

2022 Astronomy and Computing
Gaia 2