This could be trivial if we were careful with the coding, but it might be very convoluted if we were not. Hard to tell.
Ideally, we would just write a "combined likelihood" object that multiplies the likelihood of both measurements (say DESI mock + HIRES mock). Or we would add an option to the emcee sampler to have two likelihoods, and add their loglike before adding the prior.
I'd be happy to look at it myself, but I thought @Chris-Pedersen might have useful inputs.
This could be trivial if we were careful with the coding, but it might be very convoluted if we were not. Hard to tell.
Ideally, we would just write a "combined likelihood" object that multiplies the likelihood of both measurements (say DESI mock + HIRES mock). Or we would add an option to the emcee sampler to have two likelihoods, and add their loglike before adding the prior.
I'd be happy to look at it myself, but I thought @Chris-Pedersen might have useful inputs.