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A Ground-Breaking Tool to Reconstruct the History of Galaxies
by Staff Writers
Porto,Portugal (SPX) May 17, 2017


Image of the Triangulum Galaxy (M33) taken by the VLT Survey Telescope (VST), at ESO's Paranal Observatory. Even in this normal spiral galaxy, nebular emission (shown in red) provides locally an important fraction of the optical luminosity, especially in HII regions and spiral arms. Image courtesy ESO.

FADO is a new analysis tool, developed by Instituto de Astrofisica e Ciencias do Espaco[2] (IA) astronomers Jean Michel Gomes and Polychronis Papaderos, which uses light emitted by both stars and ionized gas in a galaxy, to reconstruct its formation history by means of genetic algorithms. This tool was presented in a recent article[3], accepted for publication in the journal Astronomy and Astrophysics.

"Fado" derives from the Latin Fatum, which means fate or destiny, and it's a tribute to Portugal's immaterial cultural heritage type of music of the same name. Each galaxy has a fado - a narrative of its biography since the birth of its first stars. This fate is written in its electromagnetic spectrum, which contains the fossil records of multiple stellar populations that formed over several billion years, as well as the gas that those stars ionize with their radiation.

Deciphering the star formation history of a galaxy from its spectrum is one of the most challenging tasks in astronomy. An innovative and distinctive feature of FADO is the use of genetic algorithms, which simulates galaxy evolution like the evolution of a living organism.

It works by "breeding" multiple genetic threads for a galaxy, each defined by a set of parameters (similar to the genetic code in DNA), which evolve through exchange of "chromosomes," mutations and selection effects, until a population that matches the observed stars and gas emission of the galaxy is reached.

Jean Michel Gomes (IA and University of Porto) comments that: "FADO is the first spectral modeling code employing genetic differential evolution optimization, in combination with artificial intelligence algorithms. This results in key improvements in computational efficiency and accuracy to which the star formation history of galaxies can be reconstructed."

Previous computer models developed for this purpose suffer from severe uncertainties, partly because they take into account only the light from stars. However, the contribution from ionized gas can add up to 50% of all emitted light in a galaxy.

To Polychronis Papaderos (IA and University of Porto): "FADO is the first code of its type that simultaneously models stellar and ionized gas emissions in galaxies. It also integrates physical prescriptions which ensure that the star formation history computed for a galaxy consistently reproduces its observed ionized gas emission. This presently unique self-consistency concept, in conjunction with the innovative mathematical foundation of FADO will allow us to gain new sharp insights into the galaxy formation history."

FADO's unique physical and mathematical concept yields great gain in computational efficiency, making the exploration of the star formation history of millions of galaxies an affordable task.

FADO will be an essential analysis tool to use with new generation instruments like MOONS, to be installed in the VLT (ESO). "MOONS is being constructed under the co-coordination of IA, and includes a substantial scientific and technical contribution from the Portuguese team. FADO will enhance tremendously our capability of exploiting the state-of-the-art observations MOONS will do from 2019 onwards" states the coordinator of IA Jose Afonso (IA and Faculdade de Ciencias da Universidade de Lisboa).

The development of the project "An exploration of the assembly history of galaxies with the novel concept of self-consistent spectral synthesis (FADO)" has received support by the Fundacao para a Ciencia e a Tecnologia (FCT) through grants FCOMP-01-0124-FEDER-029170 and PTDC/FIS-AST/3214/2012.

The article "Fitting Analysis Using Differential Evolution Optimization (FADO): Spectral Population Synthesis Through Genetic Optimization Under Self-Consistency Boundary Conditions" by Jean Michel Gomes and Polychronis Papaderos

STELLAR CHEMISTRY
Research increases distance at which supernova would spark mass extinctions on Earth
Lawrence KS (SPX) May 12, 2017
In 2016, researchers published "slam dunk" evidence, based on iron-60 isotopes in ancient seabed, that supernovae buffeted the Earth - one of them about 2.6 million years ago. University of Kansas researcher Adrian Melott, professor of physics and astronomy, supported those findings in Nature with an associated letter, titled "Supernovae in the neighborhood." Melott has followed up since t ... read more

Related Links
The Instituto De Astroflsica E CiEncias Do EspaCo
Stellar Chemistry, The Universe And All Within It


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