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test.single.2
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einsteinathome / libclfft
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Heinz-Bernd Eggenstein authoredexperimental: -added alternative method for twiddle factor calc, using a smaller LUT (256 * float2 ) via Taylor series to 3rd order, seems to be almost as accurate as method with 2 bigger LUTs, but faster. -improved method w/ 2 bigger LUTs to use LUTs of float2 -improved method using slow sin/cos functions (now uses sincos combined function), still slow - preparaed plan struct to have method switchable at plan creation time. TODO: load smaller LUT for Taylor series approx into shared mem.Heinz-Bernd Eggenstein authoredexperimental: -added alternative method for twiddle factor calc, using a smaller LUT (256 * float2 ) via Taylor series to 3rd order, seems to be almost as accurate as method with 2 bigger LUTs, but faster. -improved method w/ 2 bigger LUTs to use LUTs of float2 -improved method using slow sin/cos functions (now uses sincos combined function), still slow - preparaed plan struct to have method switchable at plan creation time. TODO: load smaller LUT for Taylor series approx into shared mem.
test_beam_trace.py 581 B
import pykat
from pykat.utilities.plotting.beamtrace import plot_beam_trace
import numpy as np
import pylab
import copy
kat = pykat.finesse.kat()
cmds = """
l l1 1 0 n0
s s0 1000 n0 n1
m m1 0.5 0.5 0 n1 n2
s s1 10 n2 n3
m m2 0.5 0.5 0 n3 n4
s s2 20 n4 n5
bs bs1 0.5 0.5 0 0 n5 n6 n7 n8
s s3 20 n6 n9
s s4 20 n7 n10
s s5 20 n8 n11
bs bs2 0.5 0.5 0 0 n9 n12 n13 n14
s s6 3 n12 n15
lens lens1 20 n15 n16
s s7 500 n16 n17
gouy g1 x s0 s1 s2
bp bp1 x w0 n5
gauss g1 l1 n0 8e-3 -1000 4e-3 -1200
noxaxis
maxtem 0
"""
kat.parseCommands(cmds)
plot_beam_trace(kat, 'n0', 'n17')