Una larga historia de alineamientoEl laboratorio natural más cercano de plasma: El Sol

A long alignment history

Cinthia Ragone-Figueroa, a researcher at the Instituto de Astronomía Teórica y Experimental (IATE), together with an international team, developed computational simulations that made it possible to verify that the galaxy clusters and their central galaxy have remained aligned for more than 8 thousand million years.

The closest natural plasma laboratory: The Sun

Abril Sahade, doctoral fellow at Instituto de Astronomía Teórica y Experimental (IATE), Mariana Cécere, a researcher at the same institute and Gustavo Krause of Instituto de Estudios Avanzados en Ingeniería y Tecnología (IDIT), published an article in which they analyze, starting from computational simulations, how material ejected from the Sun is deflected due to the presence of certain structures in the corona.


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.

MeSsI (Merging Systems Identification)

de los rios+16 2016MNRAS.458..226D 
This project was developed by Martín de los Rios, Mariano Domínguez, Dante Paz and Manuel Merchán, and was published in the MNRAS letter. This project is dedicated with admiration to Lionel Messi. MeSsI allows an automatic classification, based on automatic learning algorithms (Random Forest and Mixture of Gaussians) between relaxed clusters and clusters in fusion process. This method was calibrated using simulated catalogs constructed from the Millennium cosmological simulation. You can also do an automatic online classification in the graphic interface of MeSsI.

Galactic and Extragalactic Astronomy

The 13.8 billion years of the Universe is enough time to form giant objects, being the galaxies one of the most interesting. Galaxies are truly island universes where […]

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Stellar Astrophysics

El Universo está plagado de estrellas y la mayoría de ellas forman sistemas estelares y asociaciones. Entre los muchos sistemas estelares que pueden observarse, los cúmulos estelares (CE) se encuentran […]

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Large Scale Structure of the Universe

The large-scale structure of the Universe is the field of cosmology that studies the distribution of the matter in the Universe on the largest scales […]

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Astrophysical Plasmas

The plasma is the most common state of the baryonic matter in the Universe (99%). Most of a star, the interplanetary and interstellar medium, and the ionosphere, are plasmas […]

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Planetary Systems

Los estudios desarrollados por los integrantes del Grupo de Sistemas Planetarios buscan descifrar el origen y la evolución dinámica de planetas y cuerpos menores que orbitan el Sol u otras estrellas. […]

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