SOAP-GPU: Efficient Spectral Modelling of Stellar Activity Using Graphical Processing Units
Yinan Zhao, Xavier Dumusque

TL;DR
SOAP-GPU is a GPU-accelerated spectral modeling tool for stellar activity that significantly speeds up simulations, enabling more detailed and diverse stellar activity studies for exoplanet detection.
Contribution
The paper introduces SOAP-GPU, a GPU-based spectral modeling code that enhances computational speed by 60 times and incorporates advanced physics for diverse stellar types.
Findings
Achieves 60x faster spectral modeling compared to previous versions.
Includes physics of spectral line bisectors and limb variation.
Models stellar activity for stars from F to K dwarfs.
Abstract
Stellar activity mitigation is one of the major challenges for the detection of earth-like exoplanets in radial velocity (RV) measurements. Several promising techniques are now investigating the use of spectral time-series, to differentiate between stellar and planetary perturbations. In this paper, we present a new version of the Spot Oscillation And Planet (SOAP) 2.0 code that can model stellar activity at the spectral level using graphical processing units (GPUs). We take advantage of the computational power of GPUs to optimise the computationally expensive algorithms behind the original SOAP 2.0 code. We develope GPU kernels that allow to model stellar activity on any given wavelength range. In addition to the treatment of stellar activity at the spectral level, SOAP-GPU also includes the change of spectral line bisectors from center to limb, and can take as input PHOENIX spectra to…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Adaptive optics and wavefront sensing
