La inteligenia artificial centra un proyecto sobre el espacio del IAC

«The objective of my investigation in the next few years is to help reveal the formation and evolution of galaxies», explains. La desarrolla con un enfoque novedosos «para procesar datos espectrofotométricos –una tecnique de analysis de datos– simulados y reales con un nucleo de tecniques de inteligenia artificial supervisadas y non supervisadas «especialmente adaptadas para la la era del big data – datos massiveos vivos grand escala– .

Three elements

Huertas propone «employ a combination of three elements». In primer lugar «the most recent hydrodynamic cosmological simulations that have progressed exceptionally well during the last years». Por otro lado, «obtener datos de alta calidad procesidos de los telescopios más punteros» a los que tiene acceso mediate collaboraciones (Euclid y Telescopio James West, el JWST). Métodos novedosas tipo data driven –programa para comparar datos– con inteligenia artificial «to extract information and compare simulations and observations in a coherent way».

Huertas points out that «there are reasons to believe that the next few years will be the key to advancing our understanding of the formation of galaxies».

In the observational environment, value, «nos entamentes al principio de una revolución de datos, tanto in terms of complexity como de volume».

El científico considers that “the spectrophotometric studies will provide high-quality spectra and images of thousands of millions of galaxies from here to three years ago”. Añade: «Los sondeos spectroscópicos de campo integral están alcanzado ultimamente tamaños estatísticamente relevantes». This allows “resolving the internal structure of galaxies beyond the integrated properties to increase the flow of physical information”.

Test directs

Valora Huertas nuevos recursos como el Telescopio Espacial James West «del que acabamos de recibir los primeros datos. He considers that “they will explore a completely new regime of red displacement, wavelength (infrared) and stellar mass, tanto en imagen como en espectroscopy”. He emphasizes that «we will be able to witness the appearance of exemplary galaxies in the universe». Todo ello conlleva, he indicates, «una riqueza de datos sin precedentes en un amplio rango de longitudes de onda, con resoluciones spaciales y profundes de observación heterogéneas».

The power of calculation has evolved, he says, “to the point where we can now generate realistic simulations of galaxies in a cosmological context that encompasses the greater part of the history of the Universe.”

Summary: “If we manage to combine all these sets of multidimensional data and multiple wavelengths of waves, I am convinced that we will advance significantly in the detailed understanding of the different physical mechanisms that form the galaxies.” Apuesta por las tecniques novedosas para impulsar las comparaciones entre las teorías de formation de galaxias y las observaciones. «Este será el foco de mi actividad investigatrica en los próximos años», adelanta.

Huertas insists that “utilized adequately, the new models of automatic learning (deep learning) can help extract coherent information to determine the fundamental relationships between the properties of galaxies and evolutionary stages.”

The team led by Huertas in the IAC has revealed the patterns hidden in the data, visualized the high dimensionality and probed how the models reproduce the reality. Pioneers in the use of artificial intelligence in astronomy. From Tenerife.

Currículo de prestigio para Tenerife

Marc Huertas is, at 41 years old, professor titular en excedencia del Observatorio de París y de la Universidad de París-Cité (France) since 2010, asi como miembro del centro de excellence Institut Universitaire de France. Nacido en el país galo de padres españoles, en 2018 se incorporó al IAC con el programa Ramón y Cajal. This same year has passed a ser cientifico titular en el centro. Since 2020, he is an adjunct professor at the Universidad de California Santa Cruz, in the USA, and he is doing a sabbatical now at the Center for Computational Astrophysics in New York. Expert in the formation and evolution of galaxies and uno de los pioneros mundiales en el uso de la inteligencia artificial para la astrofísica. At the IAC, he is the leader of the internal group oriented to the exploration of these techniques in all areas of astrophysics. | JDM

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