Pulsational analysis of V 588 Mon and V 589 Mon observed with the MOST and CoRoT satellites

TL;DR

This study analyzes pulsations in two pre-main sequence stars, V 588 Mon and V 589 Mon, using high-precision data from CoRoT and MOST satellites, revealing detailed frequency spectra and the influence of rotation and granulation.

Contribution

It provides an improved pulsation spectrum for both stars, compares observations with models, and highlights the need for advanced modeling of rotation and granulation effects.

Findings

21 frequencies for V 588 Mon identified

37 frequencies for V 589 Mon identified

Granulation likely explains the high-frequency density

Abstract

The two pulsating pre-main sequence (PMS) stars V 588 Mon and V 589 Mon were observed by CoRoT for 23.4 days in March 2008 during the Short Run SRa01 and in 2004 and 2006 by MOST for a total of ~70 days. We present their photometric variability up to 1000 $\mu$ Hz and down to residual amplitude noise levels of 23 and 10 ppm of the CoRoT data for V 588 Mon and V 589 Mon, respectively. The CoRoT imagette data as well as the two MOST data sets allowed for detailed frequency analyses using Period04 and SigSpec. We confirm all previously identified frequencies, improve the known pulsation spectra to a total of 21 frequencies for V 588 Mon and 37 for V 589 Mon and compare them to our PMS model predictions. No model oscillation spectrum with l = 0, 1, 2, and 3 p-modes matches all the observed frequencies. When rotation is included we find that the rotationally split modes of the slower rotating star, V 589 Mon, are addressable via perturbative methods while for the more rapidly rotating star, V 588 Mon, they are not and, consequently, will require more sophisticated modeling. The high precision of the CoRoT data allowed us to investigate the large density of frequencies found in the region from 0 to 300 $\mu$Hz. The presence of granulation appears to be a more attractive explanation than the excitation of high-degree modes. Granulation was modeled with a superposition of white noise, a sum of Lorentzian-like functions and a Gaussian. Our analysis clearly illustrates the need for a more sophisticated granulation model.