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MCALF: Velocity information from spectral imaging observations

Posted: Sun May 30, 2021 6:17 pm
by Ada Coda
MCALF: Velocity information from spectral imaging observations

Abstract: MCALF (Multi-Component Atmospheric Line Fitting) accurately constrains velocity information from spectral imaging observations using machine learning techniques. It is useful for solar physicists trying to extract line-of-sight (LOS) Doppler velocity information from spectral imaging observations (Stokes I measurements) of the Sun. A toolkit is provided that can be used to define a spectral model optimized for a particular dataset. MCALF is particularly suited for extracting velocity information from spectral imaging observations where the individual spectra can contain multiple spectral components. Such multiple components are typically present when active solar phenomenon occur within an isolated region of the solar disk. Spectra within such a region will often have a large emission component superimposed on top of the underlying absorption spectral profile from the quiescent solar atmosphere.

Credit: MacBride, Conor; Jess, David

Site: https://github.com/ConorMacBride/mcalf
https://ui.adsabs.harvard.edu/abs/2021RSPTA.37900171M

Bibcode: 2021ascl.soft05008M

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2021RSPTA.37900171M; please see additional citation information here: https://github.com/ConorMacBride/mcalf#citation

ID: ascl:2105.008