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follath_r
2017-09-01 16:21:37 +02:00
parent f361639e87
commit f673dda85e
4 changed files with 80 additions and 6 deletions
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12
config/config.properties
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@@ -1,22 +1,22 @@
#Tue Aug 29 17:25:22 CEST 2017
#Wed Aug 30 13:50:49 CEST 2017
autoSaveScanData=true
createSessionFiles=false
dataLayout=default
dataPath={data}/{year}_{month}/{date}/{date}_{time}_{name}
dataPath={data}/{year}/{month}/{day}/{date}_{time}_{name}
dataProvider=h5
dataScanFlushRecords=false
dataScanPreserveTypes=false
dataScanReleaseRecords=false
dataServerPort=-1
hostName=null
instanceName=
hostName=
instanceName=PH
logDaysToLive=-1
logLevel=Info
logLevel=Fine
logLevelConsole=Off
logPath={logs}/{date}_{time}
scanStreamerPort=-1
serverEnabled=false
serverPort=8080
serverPort=8095
simulation=false
terminalEnabled=false
terminalPort=3579

4
config/devices.properties
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@@ -1,3 +1,7 @@
xbpm_x=ch.psi.pshell.epics.ChannelDouble|SARFE10-PBPG050:XBPM-XPOS|||true
xbpm_y=ch.psi.pshell.epics.ChannelDouble|SARFE10-PBPG050:XBPM-YPOS|||true
hamp_x=ch.psi.pshell.epics.ChannelDouble|SARFE10-PBPG050:HAMP-XPOS|||true
hamp_y=ch.psi.pshell.epics.ChannelDouble|SARFE10-PBPG050:HAMP-YPOS|||true
dispatcher=ch.psi.pshell.bs.Dispatcher|https://dispatcher-api.psi.ch/sf|||
cam_server=ch.psi.pshell.bs.PipelineServer|sf-daqsync-01:8889|||
pbpg_mx=ch.psi.pshell.epics.Motor|SARFE10-PBPG050:MOTOR_X|||true

35
script/PbpgPosXScan.py Normal file
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@@ -0,0 +1,35 @@
from mathutils import fit_polynomial
from mathutils import PolynomialFunction
import math
from plotutils import plot_function
print "Starting"
#Creating averaging devices
av_hamp_x = create_averager(hamp_x, count = 10, interval = -1, name = "av_hamp_x")
av_xbpm_x = create_averager(xbpm_x, count = 10, interval = -1, name = "av_xbpm_x")
#av_hamp_x.monitored = True
av_xbpm_x.monitored = True
#The actuals scan
r=lscan(pbpg_mx, [av_hamp_x, av_xbpm_x], -0.5, 0.5, 20, latency = 0.0)
#Fitting
values = to_array(r.getReadable(0), 'd')
positions = r.getPositions(0)
pars_polynomial = (a0, a1, a2) = fit_polynomial(values, positions, 2)
#Writing metadata to data file
path = get_exec_pars().scanPath
set_attribute(path, "a0", a0)
set_attribute(path, "a1", a1)
set_attribute(path, "a2", a2)
#Plotting fit and writing fitting parameters
outp = "a0="+ ("%0.4f" % a0) + "a1="+ ("%0.4f" % a1) + "a2="+ ("%0.4f" % a2)
print outp
p = get_plots()[0]
p.addText((min(positions) + max(positions))/2, max(values), outp, Color.BLACK)
plot_function(p, PolynomialFunction(pars_polynomial), "Fit",positions, show_points = False, show_lines = True, color = Color.BLUE)

35
script/PbpgPosYScan.py Normal file
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@@ -0,0 +1,35 @@
from mathutils import fit_polynomial
from mathutils import PolynomialFunction
import math
from plotutils import plot_function
print "Starting"
#Creating averaging devices
av_hamp_y = create_averager(hamp_y, count = 10, interval = -1, name = "av_hamp_y")
av_xbpm_y = create_averager(xbpm_y, count = 10, interval = -1, name = "av_xbpm_y")
av_xbpm_y.monitored = True
#The actuals scan
r=lscan(pbpg_my, [av_hamp_y, av_xbpm_y], -0.5, 0.5, 20, latency = 0.0)
#Fitting
values = to_array(r.getReadable(0), 'd')
positions = r.getPositions(0)
pars_polynomial = (a0, a1) = fit_polynomial(values, positions, 1)
#Writing metadata to data file
path = get_exec_pars().scanPath
set_attribute(path, "a0", a0)
set_attribute(path, "a1", a1)
#et_attribute(path, "a2", a2)
#Plotting fit and writing fitting parameters
outp = "a0="+ ("%0.4f" % a0) + "a1="+ ("%0.4f" % a1) # "a2="+ ("%0.4f" % a2)
print outp
p = get_plots()[0]
p.addText((min(positions) + max(positions))/2, max(values), outp, Color.BLACK)
plot_function(p, PolynomialFunction(pars_polynomial), "Fit",positions, show_points = False, show_lines = True, color = Color.BLUE)