78 lines
2.4 KiB
Python
78 lines
2.4 KiB
Python
###################################################################################################
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# Deployment specific global definitions - executed after startup.py
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###################################################################################################
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dtor = math.pi /180.0
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def A2E(t,h=1.0,k=1.0,l=1.0, deg =True, ln = False):
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lncorr= 2.e-4 if ln else 0.0
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d0 =2 * 5.43102 * (1.0-lncorr) / math.sqrt(h**2+k**2+l**2)
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tt = (t * dtor) if (deg or (t>1.0)) else t
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return 12.39842 / (d0*math.sin(tt))
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def get_energy():
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t2 = caget("X06DA-OP-MO1:ROX2.RBV",'d')
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e = A2E(abs(t2))
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print 'Energy [keV]:'+ str(e) + ' Wavelength [A]:' + str(12.39842/e)
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return e
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#Fitting
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from mathutils import estimate_peak_indexes, fit_gaussians, create_fit_point_list, Gaussian
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import java.awt.Color as Color
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def fit(ydata, xdata = None):
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if xdata is None:
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xdata = frange(0, len(ydata), 1)
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max_y= max(ydata)
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index_max = ydata.index(max_y)
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max_x= xdata[index_max]
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print "Max index:" + str(index_max),
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print " x:" + str(max_x),
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print " y:" + str(max_y)
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gaussians = fit_gaussians(ydata, xdata, [index_max,])
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(norm, mean, sigma) = gaussians[0]
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p = plot([ydata],["data"],[xdata], context="Fit" )[0]
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fitted_gaussian_function = Gaussian(norm, mean, sigma)
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scale_x = [float(min(xdata)), float(max(xdata)) ]
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points = max((len(xdata)+1), 100)
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resolution = (scale_x[1]-scale_x[0]) / points
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fit_y = []
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fit_x = frange(scale_x[0],scale_x[1],resolution, True)
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for x in fit_x:
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fit_y.append(fitted_gaussian_function.value(x))
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p.addSeries(LinePlotSeries("fit"))
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p.getSeries(1).setData(fit_x, fit_y)
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if abs(mean - xdata[index_max]) < ((scale_x[0] + scale_x[1])/2):
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print "Mean -> " + str(mean)
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p.addMarker(mean, None, "Mean="+str(round(norm,2)), Color.MAGENTA.darker())
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return (norm, mean, sigma)
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else:
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p.addMarker(max_x, None, "Max="+str(round(max_x,2)), Color.GRAY)
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print "Invalid gaussian fit: " + str(mean)
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return (None, None, None)
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#fit([1,2,3, 3,3,3,4,5,6,12,33,23,15,3,2,1, 1, 1, 1, 1])
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def rock(axis = None):
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run("rock", {"rock_axis":None})
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#from rock import rock
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def fbm():
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"""
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"""
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run("fbm")
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def rocknroll():
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"""
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"""
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run("rocknroll")
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