[AAA] SEMINARIO VIRTUAL IATE (25/08 - 11 hs). Physical and Mathematical foundations of the FADO spectral synthesis code

[Seminarios IATE - Conicet]

Buenos días,

Invitamos al Ciclo de Seminarios Virtuales del IATE de esta semana con la
siguiente presentación:

*Título: **Physical and Mathematical foundations of the FADO spectral
synthesis code*

*Expositor: *Jean Michel Gomes (Instituto de Astrofísica e Ciências do
Espaço, Universidade do Porto)

*Fecha:* viernes 25 de agosto, 11 hs.

*Resumen:* Despite significant progress over the past decades, all
state-of-the-art population spectral synthesis(PSS) codes suffer from two
major conceptual deficiencies that limit their potential to gain sharp
insights into the star formation history (SFH) and Chemical Enrichment
History (CEH) of star-forming (SF) galaxies which introduce significant
biases in studies of their physical properties (e.g., stellar mass and sSFR
- Cardoso, Gomes & Papaderos 2018): i) the neglect of nebular continuum
emission in spectral fits and ii) the lack of a mechanism that ensures
consistency between the best-fitting SFH and the observed nebular emission
characteristics (e.g., hydrogen Balmer-line luminosities and equivalent
widths-EWs, the shape of the continuum in the region around the Balmer and
Paschen jump).
FADO (Fitting Analysis using Differential evolution Optimization) is a
conceptually novel, publicly available (http://www.spectralsynthesis.org)
PSS code originally written in object-oriented Fortran 2008 standard with
the distinctive capability of permitting the identification of the SFH and
CEH that best reproduces the observed nebular characteristics of an SF
galaxy. This unique self-consistency concept significantly alleviates
degeneracies in spectral synthesis, thereby opening a new avenue to the
detailed exploration of the assembly history of galaxies. FADO is the first
PSS code employing genetic Differential Evolution Optimization and machine
learning techniques.
FADO was applied to synthetic SEDs with both stars and gas according to
different parametric SFHs. Our analysis indicates that FADO can recover the
key physical and evolutionary properties of galaxies, such as the stellar
mass and mass- and light-weighted mean age and metallicity, with an
accuracy of the order of ~0.2 dex. An outline of FADO, tests and
illustrative examples will be presented.

Esperamos vuestra participación este viernes mediante el enlace:
https://meet.google.com/hgu-akrs-xvc

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Dear all,

This* Friday *at* 11am* (GMT-3) we have *Jean Michel Gomes* and the
topic  *Physical
and Mathematical foundations of the FADO spectral synthesis code*. You can
find the connection details and abstract bellow

*Abstract:* Despite significant progress over the past decades, all
state-of-the-art population spectral synthesis(PSS) codes suffer from two
major conceptual deficiencies that limit their potential to gain sharp
insights into the star formation history (SFH) and Chemical Enrichment
History (CEH) of star-forming (SF) galaxies which introduce significant
biases in studies of their physical properties (e.g., stellar mass and sSFR
- Cardoso, Gomes & Papaderos 2018): i) the neglect of nebular continuum
emission in spectral fits and ii) the lack of a mechanism that ensures
consistency between the best-fitting SFH and the observed nebular emission
characteristics (e.g., hydrogen Balmer-line luminosities and equivalent
widths-EWs, the shape of the continuum in the region around the Balmer and
Paschen jump).
FADO (Fitting Analysis using Differential evolution Optimization) is a
conceptually novel, publicly available (http://www.spectralsynthesis.org)
PSS code originally written in object-oriented Fortran 2008 standard with
the distinctive capability of permitting the identification of the SFH and
CEH that best reproduces the observed nebular characteristics of an SF
galaxy. This unique self-consistency concept significantly alleviates
degeneracies in spectral synthesis, thereby opening a new avenue to the
detailed exploration of the assembly history of galaxies. FADO is the first
PSS code employing genetic Differential Evolution Optimization and machine
learning techniques.
FADO was applied to synthetic SEDs with both stars and gas according to
different parametric SFHs. Our analysis indicates that FADO can recover the
key physical and evolutionary properties of galaxies, such as the stellar
mass and mass- and light-weighted mean age and metallicity, with an
accuracy of the order of ~0.2 dex. An outline of FADO, tests and
illustrative examples will be presented.

Google meet link:
https://meet.google.com/hgu-akrs-xvc
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