Startup
This commit is contained in:
@@ -1,16 +1,16 @@
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#Mon May 29 14:54:24 CEST 2017
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#Tue May 30 17:05:36 CEST 2017
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colormap=Flame
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colormapAutomatic=true
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colormapMax=2000.0
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colormapMin=0.0
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colormapMax=35000.0
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colormapMin=300.0
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flipHorizontally=false
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flipVertically=false
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grayscale=false
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imageHeight=2160
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imageWidth=2560
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imageHeight=1680
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imageWidth=1744
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invert=false
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regionStartX=1
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regionStartY=1
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regionStartX=433
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regionStartY=241
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rescaleFactor=1.0
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rescaleOffset=0.0
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roiHeight=-1
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@@ -21,9 +21,9 @@ rotation=0.0
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rotationCrop=false
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scale=1.0
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serverURL=localhost\:10000
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spatialCalOffsetX=-96.58536606067958
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spatialCalOffsetY=-67.48201620883489
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spatialCalScaleX=-14.46944297232279
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spatialCalScaleY=-13.605441964787545
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spatialCalOffsetX=-1093.4812581603794
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spatialCalOffsetY=-1098.5114274849898
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spatialCalScaleX=-7.617446798629459
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spatialCalScaleY=-7.774538463917676
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spatialCalUnits=mm
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transpose=false
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@@ -76,10 +76,13 @@
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<Properties>
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<Property name="border" type="javax.swing.border.Border" editor="org.netbeans.modules.form.editors2.BorderEditor">
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<Border info="org.netbeans.modules.form.compat2.border.TitledBorderInfo">
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<TitledBorder title="Parameters"/>
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<TitledBorder title="Parameters (beam phase)"/>
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</Border>
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</Property>
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</Properties>
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<AccessibilityProperties>
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<Property name="AccessibleContext.accessibleDescription" type="java.lang.String" value=""/>
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</AccessibilityProperties>
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<Layout>
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<DimensionLayout dim="0">
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@@ -132,7 +132,7 @@ public class SchottkyScan extends Panel {
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}
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});
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panelPars.setBorder(javax.swing.BorderFactory.createTitledBorder("Parameters"));
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panelPars.setBorder(javax.swing.BorderFactory.createTitledBorder("Parameters (beam phase)"));
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spinnerStep.setModel(new javax.swing.SpinnerNumberModel(5.0d, 1.0d, 90.0d, 1.0d));
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@@ -305,6 +305,8 @@ public class SchottkyScan extends Panel {
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.addComponent(plot, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, Short.MAX_VALUE))
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.addGap(17, 17, 17))
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);
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panelPars.getAccessibleContext().setAccessibleDescription("");
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}// </editor-fold>//GEN-END:initComponents
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private void buttonStartActionPerformed(java.awt.event.ActionEvent evt) {//GEN-FIRST:event_buttonStartActionPerformed
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@@ -13,11 +13,13 @@ def hfitoff(data, xdeg):
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xrad = xdeg / 180 * np.pi
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optimize_func = lambda x: x[0] * np.sin(xrad + x[1]) + x[2] - data
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fit_amplitude, fit_phase, fit_offset = leastsq(optimize_func, [guess_amplitude, guess_phase, guess_offset])[0]
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if fit_amplitude < 0:
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fit_amplitude = -fit_amplitude
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fit_phase = fit_phase - np.pi
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fit_xdeg = np.linspace(start, end, 100)
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fit_data = fit_amplitude * np.sin(fit_xdeg / 180 * np.pi + fit_phase) + fit_offset
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ph_crest = 90 - fit_phase / np.pi * 180
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xdeg_max = xdeg[np.argmax(data)]
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if start <= ph_crest <= end:
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return (fit_amplitude, fit_phase, fit_offset, True, ph_crest, fit_xdeg, fit_data)
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else:
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return (fit_amplitude, fit_phase, fit_offset, False, xdeg_max, fit_xdeg, fit_data)
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fit_phase_deg = fit_phase / np.pi * 180
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ph_crest = 90 - fit_phase_deg
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if ph_crest > 180:
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ph_crest = ph_crest - 360
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return (fit_amplitude, fit_phase_deg, fit_offset, ph_crest, fit_xdeg, fit_data)
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@@ -3,7 +3,7 @@ from jeputils import *
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def hfitoff(data, xdeg):
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ret = call_jep("CPython/hfitoff", "hfitoff", [to_npa(data),to_npa(xdeg)])
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print ret
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return (ret[0], ret[1], ret[2],ret[3], ret[4], ret[5].data,ret[6].data)
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return (ret[0], ret[1], ret[2],ret[3], ret[4].data,ret[5].data)
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def gfitoff(x, y, off=None, amp=None, com=None, sigma=None):
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ret = call_jep("CPython/gfitoff", "gfitoff", [to_npa(x), to_npa(y), off, amp, com, sigma])
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@@ -1,5 +1,6 @@
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from startup import *
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from ijutils import *
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from mathutils import *
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from ch.psi.pshell.imaging.Overlays import *
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import ch.psi.pshell.imaging.Pen as Pen
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import java.awt.Color as Color
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@@ -8,6 +9,9 @@ import ch.psi.pshell.imaging.ImageListener as ImageListener
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from operator import add, mul, sub, truediv
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from ch.psi.pshell.imaging.Utils import sub
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REMOVE_BACKGROUND = True
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PLOT_PROFILE = True
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def get_centroid(source):
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bi = source.getImage()
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if bi is None:
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@@ -33,6 +37,39 @@ def get_centroid(source):
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def arroff(a, value = "mean"):
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"""Subtract offset to all elemets in series.
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Args:
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a(list, tuple, array ...): subscriptable object containing numbers
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type(int or str, optional): value to subtract from the array, or "mean" or "min".
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Returns:
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List
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"""
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if value=="mean":
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value = mean(a)
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elif value=="min":
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value = min(a)
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return [x-value for x in a]
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def arrsubback(data, a, b):
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"""Subtract offset to all elemets in series.
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Args:
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a(list, tuple, array ...): subscriptable object containing numbers
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type(int or str, optional): value to subtract from the array, or "mean" or "min".
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Returns:
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List
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"""
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return [y-(a*y+b) for y in a]
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import ch.psi.pshell.imaging.Filter as Filter
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@@ -117,23 +154,47 @@ class ImageStats(DeviceBase):
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self.rms_x_samples, self.rms_y_samples = [], []
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for i in range(self.num_images):
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if type(self.source) is not ch.psi.pshell.imaging.FileSource:
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#print "A"
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self.source.waitNext(5000)
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#print "B"
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#time.sleep(0.2)
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#print "Ok"
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#centroid = get_centroid(self.source)
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#print "cent ", centroid
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#if centroid is not None:
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# self.com_x_samples.append(centroid[0])
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# self.com_y_samples.append(centroid[1])
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x_profile = self.source.data.integrateVertically(True)
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# self.com_y_samples.append(centroid[1])
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x_profile = self.source.data.integrateVertically(True)
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x_profile_x = self.source.data.getRowSelectionX(True)
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y_profile = self.source.data.integrateHorizontally(True)
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com_x,rms_x = center_of_mass(x_profile, self.source.data.getRowSelectionX(True))
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com_y,rms_y = center_of_mass(y_profile, self.source.data.getColSelectionX(True))
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y_profile_x = self.source.data.getColSelectionX(True)
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#Remove background
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if (self.bg_en == False) and REMOVE_BACKGROUND:
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(a, b, amp, com, sigma) = fit_gaussian_linear(x_profile, x_profile_x)
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x_profile = [x_profile[i]-(a*x_profile_x[i]+b) for i in range(len(x_profile))]
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(a, b, amp, com, sigma) = fit_gaussian_linear(y_profile, y_profile_x)
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y_profile = [y_profile[i]-(a*y_profile_x[i]+b) for i in range(len(y_profile))]
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com_x,rms_x = center_of_mass(x_profile, x_profile_x)
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com_y,rms_y = center_of_mass(y_profile, y_profile_x)
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self.com_x_samples.append(com_x)
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self.com_y_samples.append(com_y)
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self.rms_x_samples.append(rms_x)
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self.rms_y_samples.append(rms_y)
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if PLOT_PROFILE:
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p = get_plots("Profile")
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if (p is None) or (len(p)==0):
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p = plot([x_profile, y_profile], ["x_profile", "yprofile"], [x_profile_x,y_profile_x], title ="Profile")
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else:
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p[0].removeMarker(None)
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p[1].removeMarker(None)
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p[0].getSeries(0).setData(x_profile_x, x_profile)
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p[1].getSeries(0).setData(y_profile_x, y_profile)
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p[0].addMarker(com_x, None, "COM = " + str(com_x), Color.GREEN)
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p[1].addMarker(com_y, None, "COM = " + str(com_y), Color.GREEN)
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def setNumberOfImages(self, value):
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self.num_images = value
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@@ -182,7 +243,7 @@ if __name__ == "__builtin__":
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#print get_centroid(simulated_source)
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add_device(ImageStats("image_stats", cam3), True)
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#cam3.waitNext(5000)
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cam3.waitNext(2000)
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image_stats.enableBackground(False)
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#for i in range (10):
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# image_stats.update()
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@@ -1,11 +1,11 @@
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import ch.psi.pshell.epics.ControlledVariable as ControlledVariable
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if get_exec_pars().source == CommandSource.ui:
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start = -30.0
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stop = 30.0
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start = -10.0
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stop = 10.0
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step = 5.0
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nb = 1
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lat = 0.100
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nb = 3
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lat = 0.300
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else:
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start = args[0]
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stop = args[1]
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@@ -13,8 +13,8 @@ else:
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nb = int(args[3])
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lat = args[4]
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phase = ControlledVariable("Phase", "SINEG01-RSYS:SET-VSUM-PHASE", "SINEG01-RSYS:GET-VSUM-PHASE")
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#phase = ControlledVariable("Phase", "S10CB09-RSYS:SET-VSUM-PHASE", "S10CB09-RSYS:SET-VSUM-PHASE")
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phase = ControlledVariable("Phase", "SINEG01-RSYS:SET-BEAM-PHASE", "SINEG01-RSYS:GET-BEAM-PHASE")
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#phase = ControlledVariable("Phase", "S10CB09-RSYS:SET-BEAM-PHASE", "S10CB09-RSYS:SET-BEAM-PHASE")
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phase.config.minValue =-180.0
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phase.config.maxValue = 360.0
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phase.config.precision = 3
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@@ -50,3 +50,13 @@ index_max = y.index(max(y))
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phase_ref = x[index_max] - 80
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set_return(phase_ref)
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# save the entry in the logbook
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#if get_option("Generated data file:\n" + get_exec_pars().path +"\n\n" + "Save to ELOG?", "YesNo") == "Yes":
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# log_msg = "Start: %0.1f" % start + "deg\n"
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# log_msg = log_msg + "Stop: %0.1f" % stop + "deg\n"
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# log_msg = log_msg + "Step: %0.1f" % nb + "deg\n"
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# log_msg = log_msg + "Nb samples: %0.0f" % nb + "\n"
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# log_msg = log_msg + "Latency: %0.3f" % lat + "s\n"
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# log_msg = log_msg + "Data file: " + get_exec_pars().path
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# elog("Schottky Scan", log_msg, get_plot_snapshots())
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