A
Alberto Krone-Martins
Researcher at University of Lisbon
Publications - 145
Citations - 24261
Alberto Krone-Martins is an academic researcher from University of Lisbon. The author has contributed to research in topics: Astrometry & Stars. The author has an hindex of 37, co-authored 121 publications receiving 18638 citations. Previous affiliations of Alberto Krone-Martins include University of Catania & Centre national de la recherche scientifique.
Papers
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Proceedings ArticleDOI
Robustness of Sample and Multiscale Entropy Estimators in Noisy and Incomplete Time Series
TL;DR: In this paper , the robustness of multi-scale entropy and sample entropy for different regimes of signal-to-noise ratio was analyzed and compared in the case of missing data when simple linear interpolation is adopted to fill the missing data points.
Journal ArticleDOI
Detection of open cluster rotation fields from Gaia EDR3 proper motions
TL;DR: In this paper , the authors use Gaia Early Data Release 3 (EDR3) astrometry and integrated nested Laplace approximations to perform vector-field inference and create spatio-kinematic maps of 1237 open clusters.
Book ChapterDOI
Periodic Astrometric Signal Recovery Through Convolutional Autoencoders
Michele Delli Veneri,Louis Desdoigts,Morgan A. Schmitz,Alberto Krone-Martins,Emille E. O. Ishida,Peter G. Tuthill,Rafael S. de Souza,Richard Scalzo,Massimo Brescia,Giuseppe Longo,Antonio Picariello +10 more
TL;DR: In this paper, a deep convolutional auto-encoder was used to retrieve a signal from simplified simulations of the TOLIMAN data and presented the full experimental pipeline to recreate out experiments from the simulations to the signal analysis.
Journal ArticleDOI
Fast emulation of cosmological density fields based on dimensionality reduction and supervised machine-learning
TL;DR: In this paper , an emulator based on dimensionality reduction and machine learning regression combining simple Principal Component Analysis and supervised learning methods is proposed to perform fast dark matter density field emulations with competitive accuracy using simple machine-learning approaches.
Journal ArticleDOI
A graph-based spectral classification of Type II supernovae
R. S. de Souza,Stephen Thorp,Lluís Galbany,Emille E. O. Ishida,Santiago González-Gaitán,Morgan A. Schmitz,Alberto Krone-Martins,Casey S. Peters +7 more
TL;DR: In this paper , a spectral classification scheme of Type II supernovae (SNe II) is proposed based on the phase relative to the maximum light in the V band and the end of the plateau phase.