35 lines
1.1 KiB
Python
Executable File
35 lines
1.1 KiB
Python
Executable File
from mathutils import fit_polynomial
|
|
from mathutils import PolynomialFunction
|
|
import math
|
|
from plotutils import plot_function
|
|
print "Starting"
|
|
|
|
|
|
#Creating averaging devices
|
|
av_adc_xh1 = create_averager(adc_xh1, count = 10, interval = -1, name = "av_adc_xh1")
|
|
av_adc_xh2 = create_averager(adc_yh2, count = 10, interval = -1, name = "av_adc_xh2")
|
|
av_adc_xh2.monitored = True
|
|
|
|
#The actuals scan
|
|
r=lscan(pbpg_mx, [av_adc_xh1, av_adc_xh2], 0.0, 0.5, 10, 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)
|
|
|
|
|