TL;DR
MCALF introduces a novel method for accurately fitting multi-component spectral lines in solar observations, enabling independent analysis of dynamic and quiescent velocity fields in complex datasets.
Contribution
The paper presents a new adaptive spectral fitting approach tailored for multi-component lines, improving velocity measurements in solar atmospheric studies.
Findings
Effective separation of spectral components in diverse datasets
Enhanced accuracy in Doppler velocity determination
Applicable to large-scale solar spectral data
Abstract
Determining accurate velocity measurements from observations of the Sun is of vital importance to solar physicists who are studying the wave dynamics in the solar atmosphere. Weak chromospheric absorption lines, due to dynamic events in the solar atmosphere, often consist of multiple spectral components. Isolating these components allows for the velocity field of the dynamic and quiescent regimes to be studied independently. However, isolating such components is particularly challenging due to the wide variety of spectral shapes present in the same dataset. MCALF provides a novel method and infrastructure to determine Doppler velocities in a large dataset. Each spectrum is fitted with a model adapted to its specific spectral shape.
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