C.D.S. - SIMBAD4 rel 1.7 - 2020.08.09CEST13:09:00

2015A&A...583A..51A - Astronomy and Astrophysics, volume 583A, 51-51 (2015/11-1)

Bayesian least squares deconvolution.


Abstract (from CDS):

We develop a fully Bayesian least squares deconvolution (LSD) that can be applied to the reliable detection of magnetic signals in noise-limited stellar spectropolarimetric observations using multiline techniques. We consider LSD under the Bayesian framework and we introduce a flexible Gaussian process (GP) prior for the LSD profile. This prior allows the result to automatically adapt to the presence of signal. We exploit several linear algebra identities to accelerate the calculations. The final algorithm can deal with thousands of spectral lines in a few seconds. We demonstrate the reliability of the method with synthetic experiments and we apply it to real spectropolarimetric observations of magnetic stars. We are able to recover the magnetic signals using a small number of spectral lines, together with the uncertainty at each velocity bin. This allows the user to consider if the detected signal is reliable. The code to compute the Bayesian LSD profile is freely available.

Abstract Copyright:

Journal keyword(s): stars: magnetic field - stars: atmospheres - line: profiles - methods: data analysis

Simbad objects: 3

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Number of rows : 3

N Identifier Otype ICRS (J2000)
ICRS (J2000)
Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2020
1 HD 22468 RS* 03 36 47.2911034958 +00 35 15.938962144 7.09 6.63   5.4   K2:Vnk 1124 0
2 * 18 Sco PM* 16 15 37.2703721200 -08 22 09.981989277   6.15 5.50     G2Va 485 0
3 HD 224085 RS* 23 55 04.0516465022 +28 38 01.248194500 8.88 8.20   6.9   K2+IVeFe-1 682 0

    Equat.    Gal    SGal    Ecl

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