2016
DOI: 10.1088/1674-4527/16/3/042
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Spectral Synthesis via Mean Field approach to Independent Component Analysis

Abstract: In this paper, we apply a new statistical analysis technique, Mean Field approach to Bayesian Independent Component Analysis (MF-ICA), on galaxy spectral analysis. This algorithm can compress the stellar spectral library into a few Independent Components (ICs), and galaxy spectrum can be reconstructed by these ICs. Comparing to other algorithms which decompose a galaxy spectrum into a combination of several simple stellar populations, MF-ICA approach offers a large improvement in the efficiency. To check the r… Show more

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Cited by 3 publications
(2 citation statements)
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“…In general, one needs to disintegrate the emission lines from the underlying stellar continuum, and then measure the fluxes of these lines (Hu et al 2016;Gao et al 2017). For strong emission lines, the subtraction of the stellar continuum has negligible effect on the flux measurements.…”
Section: Spectral Fitting and Emission-line Measurementsmentioning
confidence: 99%
“…In general, one needs to disintegrate the emission lines from the underlying stellar continuum, and then measure the fluxes of these lines (Hu et al 2016;Gao et al 2017). For strong emission lines, the subtraction of the stellar continuum has negligible effect on the flux measurements.…”
Section: Spectral Fitting and Emission-line Measurementsmentioning
confidence: 99%
“…We correct the emission-line fluxes for internal dust attenuation using the Balmer decrement measurements, which estimate the dust extinction by inspecting the change of Balmer line ratio, such as Hα/Hβ, from intrinsic value. Generally, the underlying stellar absorption in the Balmer lines should be well determined to obtain a reliable emission line measurement (Hu et al, 2016). In this work, we first subtract the underlying stellar continuum and stellar absorption for each spectrum using the STARLIGHT spectral synthesis code (Cid Fernandes et al, 2005).…”
Section: Dust Attenuation Correctionmentioning
confidence: 99%