Análisis exhaustivo de eyecciones de plasma solarMigraciones galácticas: ¿cómo se pueblan los cúmulos?Esperando el primer contacto

Comprehensive analysis of solar plasma ejections

Researchers from the Institute of Theoretical and Experimental Astronomy (IATE), together with an international team, published an article in which, based on observations, the deviations of solar material ejections are studied.

Galactic migrations: How are clusters populated?

José Benavides, a doctoral fellow at the Institute for Theoretical and Experimental Astronomy (IATE), Mario Abadi, a researcher at the same institute, and Laura Sales, from the University of California, published an article in which they analyze, based on computer simulations, how the galaxies arrive to clusters and what their interactions are like once they are inside.

Waiting for the first contact

Marcelo Lares, researcher at IATE (CONICET - UNC), in collaboration with José Funes (CONICET - Universidad Católica de Córdoba) and Luciana Gramajo (CONICET - Observatorio Astronómico de Córdoba), developed and simulated a model that allows analyzing the probability of contacts between civilizations that are in different points of our galaxy.

Codes

MeSsI (Merging Systems Identification)

de los rios+16 2016MNRAS.458..226D 

Merging galaxy systems provides observational evidence of the existence of dark matter and constraints on its properties. Therefore, statistical uniform samples of merging systems would be a powerful tool for several studies. In this work, we present MeSsI (Merging Systems Identification algorithm) a new machine learning method for merging systems identification. 

We use as a starting point a mock catalog of galaxy systems, identified using traditional FoF algorithms, which experienced a major merger as indicated by its merger tree. This code is completely free and public and can be downloaded and used as an R package (https://github.com/Martindelosrios/MeSsI).

This project was developed by Martín de los Rios, Mariano Domínguez, Dante Paz and Manuel Merchán.

Fargo 3D

fargohomeA versatile multifluid HD/MHD code that runs on clusters of CPUs or GPUs, with special emphasis on protoplanetary disks. FARGO3D is the successor of the FARGO code, that you can still find in the legacy part of this site. FARGO3D. The main features of FARGO3D are: FARGO3D son:

Cartesian, cylindrical or spherical geometry. As in FARGO, a simple Runge-Kutta N-body solver may be used to describe the orbital evolution of embedded point-like objects. Multifluid capability. 1, 2 or 3 dimensional calculations. Orbital advection (aka FARGO) for HD and MHD calculations. No need to know CUDA: you can develop new functions in C and have them translated to CUDA automatically to run on GPUs. FARGO3D was written by Pablo Benítez Llambay (main developper) and by Frédéric Masset. The multifluid version was developed by Pablo Benítez Llambay and Leonardo Krapp.

 

Galactic and Extragalactic Astronomy

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