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58 lines
3.0 KiB
Matlab
58 lines
3.0 KiB
Matlab
% tomogram = iradonfast_v3_split(p, theta, varargin)
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% FUNCTION wrapper around iradonfast_v3 that automatically splits the data into
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% smaller blocks to avoid too large memory allocation
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% Inputs / Outputs: same as for iradonfast_v3
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%*-----------------------------------------------------------------------*
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%| |
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%| Except where otherwise noted, this work is licensed under a |
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%| Creative Commons Attribution-NonCommercial-ShareAlike 4.0 |
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%| International (CC BY-NC-SA 4.0) license. |
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%| |
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%| Copyright (c) 2017 by Paul Scherrer Institute (http://www.psi.ch) |
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%| |
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%| Author: CXS group, PSI |
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%*-----------------------------------------------------------------------*
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% You may use this code with the following provisions:
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%
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% If the code is fully or partially redistributed, or rewritten in another
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% computing language this notice should be included in the redistribution.
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%
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% If this code, or subfunctions or parts of it, is used for research in a
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% publication or if it is fully or partially rewritten for another
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% computing language the authors and institution should be acknowledged
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% in written form in the publication: “Data processing was carried out
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% using the “cSAXS matlab package” developed by the CXS group,
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% Paul Scherrer Institut, Switzerland.”
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% Variations on the latter text can be incorporated upon discussion with
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% the CXS group if needed to more specifically reflect the use of the package
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% for the published work.
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%
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% A publication that focuses on describing features, or parameters, that
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% are already existing in the code should be first discussed with the
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% authors.
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%
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% This code and subroutines are part of a continuous development, they
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% are provided “as they are” without guarantees or liability on part
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% of PSI or the authors. It is the user responsibility to ensure its
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% proper use and the correctness of the results.
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function tomogram = iradonfast_v3_split(p, theta, varargin)
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[Nlayers,tomo_size,Nangles] = size(p) ;
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block_size = ceil(2e9/(tomo_size*Nangles*4)); % split the task into ~2GB blocks
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Nblocks = ceil(Nlayers / block_size );
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% preallocate array to store results
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tomogram = zeros(tomo_size, tomo_size, Nlayers, 'single');
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for ii = 1:Nblocks
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ind = 1+(ii-1)*block_size:min(ii*block_size, Nlayers);
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tomogram(:,:,ind) =tomo.iradonfast_v3(permute(p(ind,:,:),[2,3,1]), theta, varargin{:}); % Calculate slice
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end
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end
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