Cross-correlation of consecutive Doppler images is one of the most common
techniques used to detect surface differential rotation (hereafter DR) on
spotted stars. The disadvantage of a single cross-correlation is, however, that
the expected DR pattern can be overwhelmed by sudden changes in the apparent
spot configuration. Another way to reconstruct the image shear using Doppler
imaging is to include a predefined latitude-dependent rotation law in the
inversion code (sheared image method'). However, special but not unusual spot distributions, such like a large polar cap or an equatorial belt (e.g., small random spots evenly distributed along the equator), can distort the rotation profile similarly as the DR does, consequently, yielding incorrect measure of the DR from the sheared image method. To avoid these problems, the technique of measuring DR from averaged cross-correlations using time-series Doppler images (ACCORD’) is introduced and the reliability of this tool is demonstrated on
artificial data.

生成讲解博客的中文版本

生成AI智能校验的中文版本