upgrade, we first determined this offset in our two radial velocity reference targets, HD72673 and HD157347. We denote the mean estimate for the offset $x_{0}$ based on these reference targets as $\mu_{0}$ and its standard error as $\sigma_{0}$. We then used these numbers to construct a prior probability for the offset $x_{1}$ in the first data set of our sample such that $\pi(x_{1}) = \mathcal{N}(\mu_{0}, \sigma_{0}^{2})$. This prior was used to calculate a posterior for the offset and we denote the mean and standard deviation of this obtained posterior with $\mu_{1}$ and $\sigma_{1}$, respectively. After that, we adopted the refined estimate of the offset of $\mu_{i} \pm \sigma_{i}$ to construct the prior for the offset $x_{i+1}$ in the next data set, such that $\pi(x_{i+1}) = \mathcal{N}(\mu_{i}, \sigma_{i}^{2})$. This process, called ’Bayesian updating’ because the prior is updated into a posterior density that is in turn used as as the next prior, was repeated until all the data sets were analysed. This process helps to account for all the information regarding the offsets from all the data sets without having to analyse them simultaneously. As a result, we summarise the information regarding the offset as a probability distribution that is almost 