Spectropolarimetric multi line analysis of stellar magnetic fields
J.C. Ramirez Velez, M. Semel, M. Stift, M.J. Martinez Gonzalez, P., Petit, N. Dunstone

TL;DR
This paper evaluates two multi-line spectropolarimetric methods, pseudo-line and PCA-ZDI, for inferring stellar magnetic fields, demonstrating their effectiveness in extracting magnetic information from polarized spectra.
Contribution
It introduces and compares the pseudo-line and PCA-ZDI techniques for magnetic field inference, highlighting the advantages of PCA-ZDI in extracting polarization signatures.
Findings
Both methods can accurately infer the magnetic field vector.
The PCA-ZDI approach enhances signal detection through cross-correlation.
Multi-line techniques significantly improve signal-to-noise ratio.
Abstract
In this paper we study the feasibility of inferring the magnetic field from polarized multi-line spectra using two methods: The pseudo line approach and The PCA-ZDI approach. We use multi-line techniques, meaning that all the lines of a stellar spectrum contribute to obtain a polarization signature. The use of multiple lines dramatically increases the signal to noise ratio of these polarizations signatures. Using one technique, the pseudo-line approach, we construct the pseudo-line as the mean profile of all the individual lines. The other technique, the PCA-ZDI approach proposed recently by Semel et al. (2006) for the detection of polarized signals, combines Principle Components Analysis (PCA) and the Zeeman Do ppler Imaging technique (ZDI). This new method has a main advantage: the polarized signature is extracted using cross correlations between the stellar spectra nd functions…
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