Measurements of stellar magnetic fields with the autocorrelation of spectra
Ermanno F. Borra, David Deschatelets

TL;DR
This paper introduces a new autocorrelation-based method for measuring stellar magnetic fields from spectra, capable of detecting very small magnetic effects even at low spectral resolutions, thus expanding observational capabilities.
Contribution
The paper presents a novel autocorrelation technique for stellar magnetic field measurement that works effectively at low spectral resolutions and in faint or rapidly rotating stars, surpassing traditional Zeeman splitting methods.
Findings
Autocorrelation curves agree with Zeeman splitting measurements for known magnetic stars.
The method remains effective at lower spectral resolutions where Zeeman splitting is undetectable.
It enables magnetic field measurements in faint, rapidly rotating, or low-resolution spectra.
Abstract
We present a novel technique that uses the autocorrelation of the spectrum of a star to measure the line broadening caused by the modulus of its average surface magnetic field. The advantage of the autocorrelation comes from the fact that it can detect very small spectral line broadening effects because it averages over many spectral lines and therefore gives an average with a very high signal to noise ratio. We validate the technique with the spectra of known magnetic stars and obtain autocorrelation curves that are in full agreement with published magnetic curves obtained with Zeeman splitting. The autocorrelation also gives less noisy curves so that it can be used to obtain very accurate curves. We degrade the resolution of spectra of these magnetic stars to lower spectral resolutions where the Zeeman splitting is undetectable. At these resolutions, the autocorrelation still gives…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
