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scsiprint.cpp
master4.py 11.42 KiB
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from pykat import finesse
from pykat.commands import *
from pykat.optics.gaussian_beams import beam_param
import pylab as pl
import scipy
from scipy.optimize import minimize_scalar
import numpy as np
import shelve
import copy
import sys
def set_thermal_lens(kat, f):
kat.ITM_TL.f=f
# if a bs-based cavity is used, we need to set second lens
if "ITM_TL_r" in kat._kat__components:
kat.ITM_TL_r.f=f
return (kat)
def main():
print("""
--------------------------------------------------------------
Example file for using PyKat to automate Finesse simulations
Finesse: http://www.gwoptics.org/finesse
PyKat: https://pypi.python.org/pypi/PyKat/
The file runs through the various Finesse simulations
to generate the Finesse results reported in the document:
`Comparing Finesse simulations, analytical solutions and OSCAR
simulations of Fabry-Perot alignment signals', LIGO-T1300345,
freely available online: http://arxiv.org/abs/1401.5727
Run this file after master2.py to create data which can be
plotted using master4_plot.py. Results are saved after
each step and plots can be created at any time.
Andreas Freise 16.01.2014
--------------------------------------------------------------
""")
# shall we clear the workspace?
# %reset -f
# making these global during testing and debugging
#global kat
#global out
kat = finesse.kat(tempdir=".",tempname="test")
kat.verbose = False
tmpresultfile = 'myshelf2.dat'
# loading data saved by master.py
kat.loadKatFile('asc_base3.kat')
try:
tmpfile = shelve.open(tmpresultfile)
result=tmpfile[str('result')]
tmpfile.close()
except: raise Exception("Could not open temprary results file {0}".format(tmpresultfile))
# this does not work yet due to the scale command
kat.PDrefl_p.enabled = False
kat.PDrefl_q.enabled = False
kat.WFS1_I.enabled = False
kat.WFS1_Q.enabled = False
kat.WFS2_I.enabled = False
kat.WFS2_Q.enabled = False
kat.ETM.phi=result['phi_tuned']
print("--------------------------------------------------------")
print(" 11. Do beam tracing to measure beam parameters")
# get beam parameters at nodes: "npsl", "nITM1", "nWFS1", "nWFS2", "npo2"
global beam1, beam2, beam3
beam1 = get_qs(kat,1e13)
beam2 = get_qs(kat,50e3)
beam3 = get_qs(kat,5e3)
# starting with cold beam at npsl
kat.psl.npsl.node.setGauss(kat.psl, beam1[0])
kat.parseKatCode("startnode npsl")
# if we use bs-based cavity we try to set good beam
# parameter for reflected beam, first by
# computing 'average' beam from cold and hot beams
x1=0.70
x2=0.30
if "ITM_TL_r" in kat._kat__components:
beam50 = beam_param(z=(x1*beam1[1].z+x2*beam2[1].z), w0=(x1*beam1[1].w0+x2*beam2[1].w0))
beam5 = beam_param(z=(x1*beam1[1].z+x2*beam3[1].z), w0=(x1*beam1[1].w0+x2*beam3[1].w0))
node_text = "at ITM->nITM1r"
t_comp=kat.ITM
t_node=kat.ITM.nITM1r
else:
beam50 = beam_param(z=(x1*beam1[4].z+x2*beam2[4].z), w0=(x1*beam1[4].w0+x2*beam2[4].w0))
beam5 = beam_param(z=(x1*beam1[4].z+x2*beam3[4].z), w0=(x1*beam1[4].w0+x2*beam3[4].w0))
node_text = "at s2->npo2"
t_comp=kat.s2
t_node=kat.s2.npo2
kat = set_thermal_lens(kat,50e3)
print("--------------------------------------------------------")
print(" 12. computing beam tilt with thermal lens (f={0})".format(kat.ITM_TL.f))
print(" Setting compromise beam parameter {0}: w0={1}, z={2}".format(node_text, beam50.w0, beam50.z))
t_node.node.setGauss(t_comp, beam50)
kat.maxtem=8
print(" Calculating maxtem = %d " % kat.maxtem)
tmp = gravity_tilt(kat)
kat = set_thermal_lens(kat,5e3)
print("--------------------------------------------------------")
print(" 13. computing beam tilt with thermal lens (f={0})".format(kat.ITM_TL.f))
print(" Setting compromise beam parameter {0}: w0={1}, z={2}".format(node_text, beam5.w0, beam5.z))
t_node.node.setGauss(t_comp, beam5)
#maxtems = [1, 3, 5, 9, 11, 13, 15, 19, 23, 25, 27, 29]
maxtems = [1, 3, 5, 7]
converge_tilt(kat, maxtems)
kat.PDrefl_p.enabled = True
kat.WFS1_I.enabled = True
kat.WFS2_I.enabled = True
kat = set_thermal_lens(kat,50e3)
print("--------------------------------------------------------")
print(" 12. computing alignment signal with thermal lens (f={0})".format(kat.ITM_TL.f))
t_node.node.setGauss(t_comp, beam50)
#maxtems = [1, 3, 5, 9, 11, 13, 15, 17, 19]
maxtems = [1, 3, 5, 7]
converge_asc(kat, maxtems, 'asc_signals_50.txt')
kat = set_thermal_lens(kat,5e3)
print("--------------------------------------------------------")
print(" 13. computing alignment signal with thermal lens (f={0})".format(kat.ITM_TL.f))
t_node.node.setGauss(t_comp, beam5)
#maxtems = [1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31]
maxtems = [1, 3, 5, 7]
converge_asc(kat, maxtems, 'asc_signals_5.txt')
#-----------------------------------------------------------------------------------
def converge_asc(tmpkat, maxtems, filename):
kat = copy.deepcopy(tmpkat)
savedata = np.zeros([len(maxtems),5])
for idx, tem in enumerate(maxtems):
savedata[idx,0]=tem
print(" Calculating maxtem = %d " % tem)
kat.maxtem = tem
tmp = asc_signal(kat)
savedata[idx,1:5]=tmp.reshape([1,4])
print(" Saving results in file: {0}".format(filename))
np.savetxt(filename, savedata[0:idx+1,:], fmt=b'%.18e', delimiter=' ')
def converge_tilt(tmpkat, maxtems):
kat = copy.deepcopy(tmpkat)
savedata = np.zeros([len(maxtems),5])
filename = "thermal_gravity.txt"
for idx, tem in enumerate(maxtems):
savedata[idx,0]=tem
print(" Calculating maxtem = %d " % tem)
kat.maxtem = tem
tmp = gravity_tilt(kat)
savedata[idx,1:5]=tmp
print(" Saving results in file: {0}".format(filename))
np.savetxt(filename, savedata[0:idx+1,:], fmt=b'%.18e', delimiter=' ')
def get_qs(tmpkat,f):
kat = copy.deepcopy(tmpkat)
# measure beam parameter for the 'cold beam' i.e. the laser beam
# matched to the cavity without any thermal lens
nodenames=["npsl", "nITM1", "nWFS1", "nWFS2", "npo2"]
for idx, nname in enumerate(nodenames):
kat.parseKatCode('bp w{0} y q {1}'.format(idx, nname))
kat.parseKatCode('yaxis re:im')
kat.noxaxis = True
kat.maxtem=0
def beam_size(tmpkat, f, beam0):
kat = copy.deepcopy(tmpkat)
kat.psl.npsl.node.setGauss(kat.psl, beam0)
# add thermal lens and propagate input beam to ITM
kat = set_thermal_lens(kat, f)
out = kat.run()
# computing beam size at ITM
# and then we reflect of ITM, an set it as new startnode
q_in = out['w1']
from pykat.optics.ABCD import apply, mirror_refl
abcd = mirror_refl(1,-2500)
q_out = apply(abcd,q_in,1,1)
beam1 = beam_param(q=q_out)
kat.removeLine("startnode")
kat.psl.npsl.node.removeGauss()
if "ITM_TL_r" in kat._kat__components:
kat.ITM.nITM1r.node.setGauss(kat.ITM, beam1)
kat.parseKatCode("startnode nITM1r")
else:
kat.ITM.nITM1.node.setGauss(kat.ITM, beam1)
kat.parseKatCode("startnode nITM1")
out = kat.run()
# computing beam size at WFS1 and WFS2
q2 = out['w2']
beam2 = beam_param(q=q2)
q3 = out['w3']
beam3 = beam_param(q=q3)
# computing beam size at pick off
q4 = out['w4']
beam4 = beam_param(q=q4)
print(" Input mode beam size with thermal lens f={0}".format(f))
print(" - ITM w={0:.6}cm (w0={1}, z={2})".format(100.0*beam1.w,beam1.w0, beam1.z))
print(" - WFS1 w={0:.6}cm (w0={1}, z={2})".format(100.0*beam2.w,beam2.w0, beam2.z))
print(" - WFS2 w={0:.6}cm (w0={1}, z={2})".format(100.0*beam3.w,beam3.w0, beam3.z))
print(" - npo2 w={0:.6}cm (w0={1}, z={2})".format(100.0*beam4.w,beam4.w0, beam4.z))
#raw_input("Press enter to continue")
return [beam1, beam2, beam3, beam4]
global out
# run finesse with input laser mode matched to cavity (no thermal lens)
out = kat.run()
# beam at laser when matched to cold cavity
# (note the sign flip of the real part to change direction of gauss param)
q0 = -1.0*out['w0'].conjugate()
beam0 = beam_param(q=q0)
# compute beam sizes when tracing this beam back through the system
(beam1,beam2,beam3, beam4)=beam_size(kat,f,beam0)
return (beam0, beam1, beam2,beam3, beam4)
def asc_signal(tmpkat):
kat = copy.deepcopy(tmpkat)
code_lock = """
set err PDrefl_p re
lock z $err 900 1p
put* ETM phi $z
noplot z
"""
kat.parseKatCode(code_lock)
kat.parseKatCode('yaxis abs')
kat.noxaxis = True
signal=np.zeros((2, 2))
kat.ITM.ybeta=1e-10
kat.ETM.ybeta=0.0
out = kat.run()
signal[0,0] = out["WFS1_I"]
signal[1,0] = out["WFS2_I"]
kat.ITM.ybeta=0.0
kat.ETM.ybeta=-1e-10
out = kat.run()
signal[0,1] = out["WFS1_I"]
signal[1,1] = out["WFS2_I"]
signal = signal *1e10
sensors=('WFS1', 'WFS2')
mirrors=('ITM', 'ETM')
print(" ASC Matrix:")
for i in range(2):
print(" ", sensors[i], " ", end=' ')
for j in range(2):
print("%12.10g" % signal[i,j], end=' ')
print(mirrors[i])
return signal
def gravity_tilt(tmpkat):
kat = copy.deepcopy(tmpkat)
def compute_gravity_tilt(tmpkat):
kat = copy.deepcopy(tmpkat)
out = kat.run()
y1 = out["b1"]
y2 = out["b1_1k"]
# shift of beam center on detector 1 (as m/w0y)
x1 = np.sum(out.x*y1)/np.sum(y1)
# shift of beam center on detector 2 (as m/w0y)
x2 = np.sum(out.x*y2)/np.sum(y2)
# calibrate this in meter by mutliplying with w0y
# and compute the angle geometrically
w0=out["w0y"][0]
detector_distance = 1000.0
tilt=w0*(x2-x1)/detector_distance
#print " Wavefront tilt : %g nrad" % tilt
return tilt
code_WFS1 = """
beam b1 nWFS1
beam b1_1k nL1_in
bp w0y y w0 nWFS1
"""
code_WFS2 = """
m md 0 1 0 nWFS2 nWFS2b
s sd 1k nWFS2b nWFS2c
beam b1 nWFS2*
beam b1_1k nWFS2c
bp w0y y w0 nWFS2
"""
code_xaxis= """
xaxis b1 y lin -40 40 800
put b1_1k y $x1
yaxis abs
"""
kat.parseKatCode(code_WFS1)
kat.parseKatCode(code_xaxis)
kat.spo1.L=1000.0
kat.ITM.ybeta=1e-10
kat.ETM.ybeta=0.0
t1=compute_gravity_tilt(kat)
kat.ITM.ybeta=0.0
kat.ETM.ybeta=-1e-10
t2=compute_gravity_tilt(kat)
kat = copy.deepcopy(tmpkat)
kat.parseKatCode(code_WFS2)
kat.parseKatCode(code_xaxis)
kat.spo1.L=1.0e-9
kat.ITM.ybeta=1e-10
kat.ETM.ybeta=0.0
t3=compute_gravity_tilt(kat)
kat.ITM.ybeta=0.0
kat.ETM.ybeta=-1e-10
t4=compute_gravity_tilt(kat)
print(" WFS1 ITM {0:.4} nrad".format(t1*1e9))
print(" WFS2 ITM {0:.4} nrad".format(t3*1e9))
print(" WFS1 ETM {0:.4} nrad".format(t2*1e9))
print(" WFS2 ETM {0:.4} nrad".format(t4*1e9))
return [t1,t2,t3,t4]
if __name__ == '__main__':
main()