j: Next unread message
k: Previous unread message
j a: Jump to all threads
j l: Jump to MailingList overview
I'm looking to convert particle based quantities into a uniform grid based quantity (arepo data is input). So say I have a collection of gas elements with some density rho and x,y,z positions. I want to construct an 256^3 mesh representing the cells in a mesh.
x,y,z,rho --> cic mesh where the values at i,j,k is the smoothed density are created by the cic algorithm
Now, generalising this more, can I have rho to be any quantity? So now say I have star particles which similarly have x,y,z but I want to distribute their luminosity. Again, I want to do it for say the gas velocity field as well. Is there any general functionality for converting particle quantities to mesh quantites in yt with the deposit all_cic functionality? I have a basic code for just x,y,z particle data and distributing that based on density to a cic (see below)
ad = pf.all_data() level = int(math.log(ndim,2)) cg = pf.covering_grid(level=level, left_edge=[0,0,0],dims=[ndim,ndim,ndim]) arr = cg['deposit', 'all_cic'],
but I'm not sure what to do for the other variables. Any help is appreciated in advance.