Machine learning techniques to select Be star candidates. An application in the OGLE-IV Gaia south ecliptic pole field

Statistical pattern recognition methods have provided competitive solutions for variable star classification at a relatively low computational cost. In order to perform supervised classification, a set of features is proposed and used to train an automatic classification system. Quantities related to the magnitude density of the light curves and their Fourier coefficients have been chosen as features in previous studies. However, some of these features are not robust to the presence of outliers and the calculation of Fourier coefficients is computationally expensive for large data sets. We propose and evaluate the performance of a new robust set of features using supervised classifiers in order to look for new Be star candidates in the OGLE-IV Gaia south ecliptic pole field. We calculated the proposed set of features on six types of variable stars and on a set of Be star candidates reported in the literature. We evaluated the performance of these features using classification trees and random forests along with K-nearest neighbours, support vector machines, and gradient boosted trees methods. We tuned the classifiers with a 10-fold cross-validation and grid search. We validated the performance of the best classifier on a set of OGLE-IV light curves and applied this to find new Be star candidates. The random forest classifier outperformed the others. By using the random forest classifier and colour criteria we found 50 Be star candidates in the direction of the Gaia south ecliptic pole field, four of which have infrared colours consistent with Herbig Ae/Be stars. Supervised methods are very useful in order to obtain preliminary samples of variable stars extracted from large databases. As usual, the stars classified as Be stars candidates must be checked for the colours and spectroscopic characteristics expected for them

Plasma streams in the Hermean dayside magnetosphere: Solar wind injection through the reconnection region

International audienceThe aim of this research is to simulate the interaction of the solar wind with the magnetic field of Mercury and to study the particle fluxes between the magnetosheath and the planet surface. We simulate the magnetosphere structure using the open source MHD code PLUTO in spherical geometry with a multipolar expansion of the Hermean magnetic field (Anderson, B. J. et al, 2012). We perform two simulations with realistic solar wind parameters to study the properties of a plasma stream originated in the reconnection region between the interplanetary and the Hermean magnetic field. The plasma precipitates along the open magnetic field lines to the planet surface showing a fast expansion, rarefaction and cooling. The plasma stream is correlated with a flattening of the magnetic field observed by MESSENGER due to the adjacency of the reconnection region where the solar wind is injected to the inner magnetosphere

Towards Autopoietic Computing

A key challenge in modern computing is to develop systems that address complex, dynamic problems in a scalable and efficient way, because the increasing complexity of software makes designing and maintaining efficient and flexible systems increasingly difficult. Biological systems are thought to possess robust, scalable processing paradigms that can automatically manage complex, dynamic problem spaces, possessing several properties that may be useful in computer systems. The biological properties of self-organisation, self-replication, self-management, and scalability are addressed in an interesting way by autopoiesis, a descriptive theory of the cell founded on the concept of a system's circular organisation to define its boundary with its environment. In this paper, therefore, we review the main concepts of autopoiesis and then discuss how they could be related to fundamental concepts and theories of computation. The paper is conceptual in nature and the emphasis is on the review of other people's work in this area as part of a longer-term strategy to develop a formal theory of autopoietic computing.Comment: 10 Pages, 3 figure

Poliartritis y leishmaniosis canina: Patogenia de la alteración articular : caso clínico

Uno de los signos clínicos a menudo observados en los perros con leishmaniosis es la presencia de cojeras, asociadas en muchos casos a poliartritis. la patogenia de estas alteraciones articulares no está del todo clara. Si bien la presencia del parásito en la articulación explicaría en muchos casos la alteración observada, debe tenerse también en cuenta el efecto patógeno que puede tener lugar a través del depósito de inmunocomplejos circulantes (ICC), que son frecuentes en esta enfermedad. En el presente artículo revisamos la bibliografía y comparamos nuestro caso con otros publicados, discutiendo sobre el posible origen de estas artropatías.Lameness, often associated with polyarthritis, is one of the most frequent clinical signs observed in dogs with leishmaniasis.The pathogenesis of these joint disturbances is not well known.Even the presence of the parasite in the joint sometimes may explain the observed alteration, the pathogenic effect triggered by the deposition of circulating immunocomplexes (CIC) that are afien produced in dogs with Cl, should also be considered.The present paper reviews the literature and compares our clinical case with others reported, thus, discussing the possible aetiology of these arthropathies

Environments for sonic ecologies

This paper outlines a current lack of consideration for the environmental context of Evolutionary Algorithms used for the generation of music. We attempt to readdress this balance by outlining the benefits of developing strong coupling strategies between agent and en- vironment. It goes on to discuss the relationship between artistic process and the viewer and suggests a placement of the viewer and agent in a shared environmental context to facilitate understanding of the artistic process and a feeling of participation in the work. The paper then goes on to outline the installation ‘Excuse Me and how it attempts to achieve a level of Sonic Ecology through the use of a shared environmental context

Surface roughness and thermal conductivity of semiconductor nanowires: going below the Casimir limit

By explicitly considering surface roughness at the atomic level, we quantitatively show that the thermal conductivity of Si nanowires can be lower than Casimir's classical limit. However, this violation only occurs for deep surface degradation. For shallow surface roughness, the Casimir formula is shown to yield a good approximation to the phonon mean free paths and conductivity, even for nanowire diameters as thin as 2.22 nm. Our exact treatment of roughness scattering is in stark contrast with a previously proposed perturbative approach, which is found to overpredict scattering rates by an order of magnitude. The obtained results suggest that a complete theoretical understanding of some previously published experimental results is still lacking.Comment: 11 pages, 4 figure

Megalitismo y medio edafológico en el noroeste peninsular

[Resumen] Se estudia la relación existente entre la distribución de tumbas megalíticas y las caracteristicas de los suelos en la provincia de La Coruña. Las mayores concentraciones de túmulos y la presencia de los de mayor tamaño están relacionadas con los suelos más aptos para el cultivo. Por el contrario en zonas con suelos poco aptos para la agricultura los túmulos son más escasos y de menor tamaño.[Abstract] The relations between the distribution of megali thic graves and the soil characteristics in the province of La Coruña are studied. The highest concentrations of tombs and the biggest ones are related to the best soils for the agriculture. On contrary in zones with poor soi ls the graves are less abundant and of smallest siz