Granulation on a quiet K dwarf: HD 166620 I. Spectral signatures as a function of line-formation temperature

Ancy Anna John, Khaled Al Moulla, Niamh K. O Sullivan, Jay Fitzpatrick, Andrew Collier Cameron, Ben S. Lakeland, Michael Cretignier, Annelies Mortier, Tim Naylor, Joe Llama, Suzanne Aigrain, Christian Hartogh, Shweta Dalal, Heather M. Cegla, Christopher A. Watson, Xavier Dumusque, Aldo F. Martinez Fiorenzano

Published: 2025/9/4

Abstract

As Radial velocity (RV) spectrographs reach unprecedented precision and stability below 1 m/s, the challenge of granulation in the context of exoplanet detection has intensified. Despite promising advancements in post-processing tools, granulation remains a significant concern for the EPRV community. We present a pilot study to detect and characterise granulation using the High-Accuracy Radial-velocity Planet Searcher for the Northern hemisphere (HARPS-N) spectrograph. We observed HD166620, a K2 star in the Maunder Minimum phase, intensely for two successive nights, expecting granulation to be the dominant nightly noise source in the absence of strong magnetic activity. Following the correction for a newly identified instrumental signature arising from illumination variations across the CCD, we detected the granulation signal using structure functions and a one-component Gaussian Process (GP) model. The granulation signal exhibits a characteristic timescale of 43.65$\pm$15.8 minutes, within one $\sigma$, and a standard deviation of 22.9$\pm$0.77 cm/s, with in three $\sigma$ of the predicted value. By examining spectra and RVs as a function of line formation temperature , we investigated the sensitivity of granulation-induced RV variations across different photospheric layers. We extracted RVs from various photospheric depths using both the line-by-line (LBL) and cross-correlation function (CCF) methods to mitigate any extraction method biases. Our findings indicate that granulation variability is detectable in both temperature bins, with the cooler bins, corresponding to the shallower layers of the photosphere, aligning more closely with predicted values.