Not exploring full prior space

[sumitaghosh]

I have a likelihood that has a linear relationship with 39 parameters and involves creating an 89x40x3 array then summing its elements together. Back when I only had the 89x40 array, the best-fit worked fine. Now, it's converging on a wrong value. There is a certain combination of parameters (within the prior space and not at the edge) that gives me a likelihood of -38565.34122985974, but PyMultiNest never seems to find any data points that give a likelihood of above -40k. I have tried pymultinest.solve with n_live_points=2000 and sampling_efficiency=1.0 but that still leads to a weird behavior of never getting a higher likelihood and of "Parameter 1 of mode 1 is converging towards the edge of the prior." What else can I try? I can't give a minimum working example because it only seems to break like this with the entire thing, so is there any other information that would be helpful here?