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dfm avatar dfm commented on July 24, 2024

This is always a problem matplotlib... triangle shouldn't normally copy the samples so that won't be the problem. I'd recommend thinning your chains by some fraction of the autocorrelation time (MCMC samples aren't independent) because I really can't see a reason why you ever need to plot 8M samples. Another option is to plot a few corner plots with subsets of the parameters instead of the full parameter space in one go.

Hope that helps!

from corner.py.

jmatta1 avatar jmatta1 commented on July 24, 2024

It certainly does, I was plotting 8M samples because the chi^2 function seems to be multimodal (though I cannot see it in the plots) and was was wondering if any evidence of that would appear in the probability distributions with enough sampling.

Thanks again!

from corner.py.

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