Hi , i recently be super confused by the parameter: Minimize over per-particle scale
will this interfere the downstream job? like RBMC or local refinement? should I use this before or later than RBMC. I’ve been received different comment from different AIs.
maybe it has downstream influence? but when I run job - Subset Particles by Statistic and try to split by manual thresholding, it will report an error, so it’s not written in particles’information? then how the downstream has a parameter called refine_scale_reset?
In this case, we mean minimize in the Bayesian sense. You can imagine this parameter means “Find the per-particle scale which results in the lowest error between the image and the reference”. We recommend this parameter is usually left on for refinements of the whole target, and usually turned off for local refinements of small regions. Once you run it a single time, the particles’ per-particle scales are stored with the particles for downstream jobs. It should definitely be turned on at least once before jobs like RBMC.
The error you’re seeing there is unexpected: when you select “Split by manual thresholding” the “Number of Gaussians” parameter should be replaced by “Number of thresholds”. If you create a new job do you continue to see this behavior?
just try to split particles into different groups based on their PPS number, to see if they contribute differently in the entire map
but it reported error, couldn’t start the job
I think this is your issue - the subset mode is manual thresholding, but for some reason it shows number of gaussians. What happens if you change the subset mode?