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Copy pathOSMAPOSL_test_sim_PM_QP.par
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OSMAPOSL_test_sim_PM_QP.par
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OSMAPOSLParameters :=
; test file for OSMAPOSL with a quadratic prior (and ray tracing projection matrix)
objective function type:= PoissonLogLikelihoodWithLinearModelForMeanAndProjData
PoissonLogLikelihoodWithLinearModelForMeanAndProjData Parameters:=
input file := my_prompts${suffix}.hs
zero end planes of segment 0:= 0 ; segment 0 is has direct and indirect planes
; if disabled, defaults to maximum segment number in the file
;maximum absolute segment number to process := 3
projector pair type := Matrix
Projector Pair Using Matrix Parameters :=
Matrix type := Ray Tracing
Ray tracing matrix parameters :=
number of rays in tangential direction to trace for each bin := 10
; do symmetry 90degrees min phi := 0
End Ray tracing matrix parameters :=
End Projector Pair Using Matrix Parameters :=
Bin Normalisation type := from projdata
Bin Normalisation From ProjData :=
normalisation projdata filename:= my_acfs${suffix}.hs
End Bin Normalisation From ProjData:=
additive sinogram := my_additive_sinogram${suffix}.hs
xy output image size (in pixels) := 91
zoom := .5
use subset sensitivities:=1
subset sensitivity filenames:= my_test_sim${suffix}_sens_PM_s${num_subsets}_%d.hv
recompute_sensitivity:=1
prior type := quadratic
Quadratic Prior Parameters:=
penalisation factor := 1
;weights:={{{0,1,0},{1,0,1},{0,1,0}}}
END Quadratic Prior Parameters:=
end PoissonLogLikelihoodWithLinearModelForMeanAndProjData Parameters:=
output filename prefix := my_test_sim${suffix}_image_OSMAPOSL_PM_QP
number of subsets:= ${num_subsets}
start at subset:= 0
number of subiterations:= 28
save estimates at subiteration intervals:= ${num_subsets}
;report objective function values interval := 1
END :=