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Exploring formation scenarios for the exomoon candidate Kepler 1625b I
(Oxford Univ Press, 2020-07-01)
If confirmed, the Neptune-size exomoon candidate in the Kepler 1625 system will be the first natural satellite outside our Solar system. Its characteristics arc nothing alike we know for a satellite. Kepler 1625b I is ...
ORBITAL PERTURBATIONS OF THE GALILEAN SATELLITES DURING PLANETARY ENCOUNTERS
(Iop Publishing Ltd, 2014-08-01)
The Nice model of the dynamical instability and migration of the giant planets can explain many properties of the present solar system, and can be used to constrain its early architecture. In the jumping-Jupiter version ...
ORBITAL PERTURBATIONS OF THE GALILEAN SATELLITES DURING PLANETARY ENCOUNTERS
(Iop Publishing Ltd, 2014)
ORBITAL PERTURBATIONS OF THE GALILEAN SATELLITES DURING PLANETARY ENCOUNTERS
(Iop Publishing Ltd, 2014)
Tunki project: Wetland remote sensing using satellite images and high performance computing
(Latin American and Caribbean Consortium of Engineering Institutions, 2018)
Wetlands are important for the world due to the benefits they offer to humanity. However, there are studies showing their decrease in number in several regions. A form of monitoring of the wetlands is necessary to evaluate ...
Analysis of communication strategies for earth observation satellite constellations
(Institute of Electrical and Electronics Engineers, 2016-06)
Earth observation satellite constellations are arising as a new paradigm with important advantages in comparison with traditional monolithic systems. In particular, the concept of Segmented Architecture proposes to transform ...
VLT/SPHERE survey for exoplanets around young early-type stars, including systems with multi-belt architectures
(EDP Science, 2020)
Context. Dusty debris disks around pre- and main-sequence stars are potential signposts for the existence of planetesimals and exoplanets. Giant planet formation is therefore expected to play a key role in the evolution ...
DeepCloud : Intra-day satellite prediction of cloudiness using deep learning strategies
(Udelar.FI., 2022)
This project analyzes deep learning techniques applied to satellite-based cloudiness prediction, a vital component of a solar forecasting solution. The techniques can learn from a dataset to make extrapolation into the ...