ScreenPanel

This commit is contained in:
sfop
2017-06-19 11:07:40 +02:00
parent 3524af3ca1
commit 060f262a5a
27 changed files with 666 additions and 178 deletions

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@@ -1,5 +1,5 @@
#Tue Jun 13 14:49:25 CEST 2017
maxValue=360.0
#Wed Jun 14 11:54:37 CEST 2017
maxValue=180.0
minValue=-180.0
offset=0.0
precision=3

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@@ -1,16 +1,16 @@
#Wed Jun 14 08:15:46 CEST 2017
#Mon Jun 19 11:07:24 CEST 2017
colormap=Flame
colormapAutomatic=true
colormapMax=100.0
colormapMax=24.0
colormapMin=0.0
flipHorizontally=false
flipVertically=false
grayscale=false
imageHeight=1628
imageWidth=1280
imageHeight=2160
imageWidth=2560
invert=false
regionStartX=865
regionStartY=267
regionStartX=1
regionStartY=1
rescaleFactor=1.0
rescaleOffset=0.0
roiHeight=-1
@@ -21,9 +21,9 @@ rotation=0.0
rotationCrop=false
scale=1.0
serverURL=localhost\:10000
spatialCalOffsetX=-1057.4895329398094
spatialCalOffsetY=-1420.5549062527236
spatialCalScaleX=-8.510638153514359
spatialCalScaleY=-8.235817137431614
spatialCalOffsetX=-307.51337366396956
spatialCalOffsetY=-328.50773007539067
spatialCalScaleX=-29.549881440739966
spatialCalScaleY=-26.711185419891642
spatialCalUnits=mm
transpose=false

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@@ -1,6 +1,6 @@
#Tue Jun 13 14:21:33 CEST 2017
maxValue=360.0
minValue=0.0
#Fri Jun 16 13:36:38 CEST 2017
maxValue=180.0
minValue=-180.0
offset=0.0
precision=3
resolution=1.0

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@@ -1,6 +1,6 @@
#Thu May 11 08:37:38 CEST 2017
#Wed Jun 14 11:27:41 CEST 2017
alignmentRetries=20
disableCompression=false
disableCompression=true
dropIncomplete=false
keepListeningOnStop=false
parallelHandlerProcessing=true

9
devices/rot 1.properties Normal file
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@@ -0,0 +1,9 @@
#Fri Jun 16 14:17:16 CEST 2017
maxValue=NaN
minValue=NaN
offset=0.0
precision=-1
resolution=NaN
rotation=false
scale=1.0
unit=null

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@@ -76,7 +76,7 @@
<Properties>
<Property name="border" type="javax.swing.border.Border" editor="org.netbeans.modules.form.editors2.BorderEditor">
<Border info="org.netbeans.modules.form.compat2.border.TitledBorderInfo">
<TitledBorder title="Parameters (RF phase)"/>
<TitledBorder title="Parameters (beam phase)"/>
</Border>
</Property>
</Properties>

View File

@@ -97,7 +97,7 @@ public class SchottkyScan extends Panel {
}
});
panelPars.setBorder(javax.swing.BorderFactory.createTitledBorder("Parameters (RF phase)"));
panelPars.setBorder(javax.swing.BorderFactory.createTitledBorder("Parameters (beam phase)"));
spinnerStep.setModel(new javax.swing.SpinnerNumberModel(5.0d, 1.0d, 90.0d, 1.0d));

View File

@@ -19,6 +19,7 @@ import ch.psi.pshell.device.Device;
import ch.psi.pshell.epics.ChannelInteger;
import ch.psi.pshell.epics.DiscretePositioner;
import ch.psi.pshell.epics.Epics;
import ch.psi.pshell.imaging.Calibration;
import ch.psi.pshell.imaging.Colormap;
import ch.psi.pshell.imaging.ColormapSource;
import ch.psi.pshell.imaging.ColormapSource.ColormapSourceConfig;
@@ -63,6 +64,7 @@ import java.awt.event.WindowEvent;
import java.awt.image.BufferedImage;
import java.io.FileInputStream;
import java.lang.reflect.Array;
import java.lang.reflect.Field;
import java.net.ServerSocket;
import java.nio.file.Files;
import java.nio.file.Path;
@@ -135,18 +137,18 @@ public class ScreenPanel extends Panel {
ImageData(){
if (camera instanceof Camtool) {
String prefix = goodRegion ? "gr_" : "";
xMean = getCamtoolDouble(prefix + "x_fit_mean");
yMean = getCamtoolDouble(prefix + "y_fit_mean");
xSigma = getCamtoolDouble(prefix + "x_fit_standard_deviation");
ySigma = getCamtoolDouble(prefix + "y_fit_standard_deviation");
x_fit_mean = getCamtoolDouble(prefix + "x_fit_mean");
y_fit_mean = getCamtoolDouble(prefix + "y_fit_mean");
x_fit_standard_deviation = getCamtoolDouble(prefix + "x_fit_standard_deviation");
y_fit_standard_deviation = getCamtoolDouble(prefix + "y_fit_standard_deviation");
x_fit_gauss_function = getCamtoolDoubleArray(prefix +"x_fit_gauss_function");
y_fit_gauss_function = getCamtoolDoubleArray(prefix +"y_fit_gauss_function");
x_profile = getCamtoolDoubleArray("x_profile");
y_profile = getCamtoolDoubleArray("y_profile");
xCom = getCamtoolDouble("x_center_of_mass");
yCom = getCamtoolDouble("y_center_of_mass");
xRms = getCamtoolDouble("x_rms");
yRms = getCamtoolDouble("y_rms");
x_center_of_mass = getCamtoolDouble("x_center_of_mass");
y_center_of_mass = getCamtoolDouble("y_center_of_mass");
x_rms = getCamtoolDouble("x_rms");
y_rms = getCamtoolDouble("y_rms");
if (goodRegion){
double[] gX2 = new double[x_profile.length];
Arrays.fill(gX2, Double.NaN);
@@ -167,18 +169,18 @@ public class ScreenPanel extends Panel {
}
}
}
Double xMean;
Double yMean;
Double xCom;
Double xRms;
Double xSigma;
Double ySigma;
Double yCom;
Double yRms;
double[] x_profile;
double[] x_fit_gauss_function;
double[] y_profile;
double[] y_fit_gauss_function;
public Double x_fit_mean;
public Double y_fit_mean;
public Double x_center_of_mass;
public Double x_rms;
public Double x_fit_standard_deviation;
public Double y_fit_standard_deviation;
public Double y_center_of_mass;
public Double y_rms;
public double[] x_profile;
public double[] x_fit_gauss_function;
public double[] y_profile;
public double[] y_fit_gauss_function;
}
class Frame extends ImageData{
@@ -993,6 +995,34 @@ public class ScreenPanel extends Panel {
Pen penFit = new Pen(new Color(192, 105, 0), 1);
Pen penCross = new Pen(new Color(192, 105, 0), 1);
ImageData getCurrentImageData(){
return getImageData(null);
}
ImageData getImageData(Data data){
ImageData id = null;
if (renderer.isPaused()) {
synchronized (imageBuffer) {
if (data == null){
int index = ((int) pauseSelection.getValue()) - 1;
if (index < imageBuffer.size()) {
data = imageBuffer.get(index).data;
}
}
for (Frame f : imageBuffer) {
if (f.data == data) {
id = f;
break;
}
}
}
} else {
id = new ImageData();
}
return id;
}
Overlay[][] getFitOverlays(Data data) {
Overlays.Polyline hgaussian = null;
@@ -1009,26 +1039,15 @@ public class ScreenPanel extends Panel {
int profileSize = renderer.getProfileSize();
if ((useCamtoolStats) && (camera instanceof Camtool)) {
try {
ImageData id = null;
if (renderer.isPaused()) {
synchronized (imageBuffer) {
for (Frame f : imageBuffer) {
if (f.data == data) {
id = f;
break;
}
}
}
} else {
id = new ImageData();
}
ImageData id = getImageData(data);
if (id==null){
return null;
}
xMean = id.xMean; xSigma = id.xSigma;yMean = id.yMean;ySigma = id.ySigma;
xMean = id.x_fit_mean; xSigma = id.x_fit_standard_deviation;yMean = id.y_fit_mean;ySigma = id.y_fit_standard_deviation;
gX = id.x_fit_gauss_function; gY = id.y_fit_gauss_function;
pX = id.x_profile; pY = id.y_profile;
xCom = id.xCom; xRms = id.xRms; yCom = id.yCom; yRms = id.yRms;
xCom = id.x_center_of_mass; xRms = id.x_rms; yCom = id.y_center_of_mass; yRms = id.y_rms;
profileSize /= 4;
if (pX != null) {
@@ -1539,18 +1558,49 @@ public class ScreenPanel extends Panel {
}
}
}
void writeFrameMetadata(String path, ImageData id) throws Exception{
getContext().getDataManager().setAttribute("/", "Camera", String.valueOf(cameraName));
getContext().getDataManager().setAttribute("/", "Screen", String.valueOf(valueScreen.getLabel().getText()));
getContext().getDataManager().setAttribute("/", "Filter", String.valueOf(valueFilter.getLabel().getText()));
Calibration cal = renderer.getCalibration();
getContext().getDataManager().setAttribute("/", "Calibration", cal == null ? new double[]{1,1,0,0} :
new double[]{cal.getScaleX(), cal.getScaleY(), cal.getOffsetX(), cal.getOffsetY()});
if (camera instanceof Camtool){
try{
getContext().getDataManager().setAttribute("/", "ROI", ((Camtool) camera).getRoi());
} catch (Exception ex){
getContext().getDataManager().setAttribute("/", "ROI", new int[]{0,0,-1,-1});
}
if (id!=null){
for (Field f:ImageData.class.getFields()){
Object value = f.get(id);
getContext().getDataManager().setAttribute(path, f.getName(), (value == null) ? Double.NaN : value);
}
}
for (String name : new String[]{"x_axis", "y_axis", "gr_x_axis", "gr_y_axis"}){
double[] val = getCamtoolDoubleArray(name);
getContext().getDataManager().setAttribute("/", "GoodRegion", goodRegion);
if (val!=null){
getContext().getDataManager().setAttribute("/", name, val);
}
}
}
}
void saveSnapshot() throws Exception {
String snapshotFile = getContext().getSetup().expandPath("{images}/{date}_{time}_snapshot.png");
renderer.saveSnapshot(snapshotFile, "png", true);
getContext().setExecutionPars("snapshot");
String path = "/data";
getContext().getDataManager().setDataset(path, renderer.getData().getMatrix(), renderer.getData().isUnsigned());
getContext().getDataManager().setAttribute(path, "Camera", String.valueOf(cameraName));
getContext().getDataManager().setAttribute(path, "Screen", String.valueOf(valueScreen.getLabel().getText()));
getContext().getDataManager().setAttribute(path, "Filter", String.valueOf(valueFilter.getLabel().getText()));
getContext().getDataManager().closeOutput();
String snapshotFile = null;
synchronized (imageBuffer) {
getContext().getDataManager().setDataset(path, renderer.getData().getMatrix(), renderer.getData().isUnsigned());
writeFrameMetadata(path, getCurrentImageData());
getContext().getDataManager().closeOutput();
//Enforce the same timestamp to data & image files.
snapshotFile = getContext().getSetup().expandPath("{images}/{date}_{time}_snapshot.png", getContext().getExecutionPars().getStart());
renderer.saveSnapshot(snapshotFile, "png", true);
}
JPanel panel = new JPanel();
GridBagLayout layout = new GridBagLayout();
layout.columnWidths = new int[]{0, 180}; //Minimum width
@@ -1601,21 +1651,14 @@ public class ScreenPanel extends Panel {
Frame frame = imageBuffer.get(i);
String path = "/data_" + i;
getContext().getDataManager().setDataset(path, frame.data.getMatrix(), frame.data.isUnsigned());
getContext().getDataManager().setAttribute(path, "x_mean", (frame.xMean == null) ? Double.NaN : frame.xMean);
getContext().getDataManager().setAttribute(path, "x_sigma", (frame.xSigma == null) ? Double.NaN : frame.xSigma);
getContext().getDataManager().setAttribute(path, "y_mean", (frame.yMean == null) ? Double.NaN : frame.yMean);
getContext().getDataManager().setAttribute(path, "y_sigma", (frame.ySigma == null) ? Double.NaN : frame.ySigma);
x.add(frame.xMean);
y.add(frame.yMean);
writeFrameMetadata(path, getImageData(frame.data));
x.add(frame.x_fit_mean);
y.add(frame.y_fit_mean);
}
}
DescStatsDouble xs = new DescStatsDouble(x.toArray(new Double[0]), -1);
DescStatsDouble ys = new DescStatsDouble(y.toArray(new Double[0]), -1);
String path = "/";
getContext().getDataManager().setAttribute(path, "x_mean", xs.getMean());
getContext().getDataManager().setAttribute(path, "x_sigma", xs.getStdev());
getContext().getDataManager().setAttribute(path, "y_mean", ys.getMean());
getContext().getDataManager().setAttribute(path, "y_sigma", ys.getStdev());
getContext().getDataManager().closeOutput();
SwingUtils.showMessage(getTopLevel(), "Success", "Generated data file:\n" + getContext().getExecutionPars().getPath(), 5000);
}

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@@ -0,0 +1,139 @@
#import ch.psi.pshell.epics.ChannelDouble as ChannelDouble
import ch.psi.pshell.bs.Scalar as Scalar
import ch.psi.pshell.bs.Waveform as Waveform
import ch.psi.pshell.epics.DiscretePositioner as DiscretePositioner
import ch.psi.pshell.epics.ChannelDouble as ChannelDouble
#Arguments
SAMPLES = 100
GAINS = ["SINDI02-DBLM084:M06-1-CH03-V-MM","SINDI02-DBLM084:M06-2-CH03-V-MM","S10DI01-DBLM113:M06-1-CH03-V-MM"] #, "SINDI02-DBLM084:M06-0-CH03-V-MM"]
BLMS = ["SINDI02-DBLM025", "SINDI02-DBLM085", "S10DI01-DBLM045"]
LLM = ["SINDI01-DLLM105"]
BPMS = ["SINDI01-DBPM060:Q1", "SINDI02-DBPM010:Q1"]
ATTENUATORS = ["SINDI02-DBLM084:M06-1-ATT2-VAL", "SINDI02-DBLM084:M06-2-ATT2-VAL", "S10DI01-DBLM113:M06-1-ATT2-VAL"] #,"SINDI02-DBLM084:M06-0-ATT2-VAL"]
ATT_SP = 15.0 #3.0,6.0,9.0,12.0,15.0
RANGE = [0.5, 1.1]
STEP_SIZE = 0.05
SETTLING_TIME = 3
SIMULATION = False
do_elog = True
gain_positioners = []
for i in range(len(GAINS)):
gain_positioners.append( DummyPositioner("gain " + str(i+1)) if SIMULATION else Channel(GAINS[i], alias = "gain " + str(i+1)))
attenuators = []
for i in range(len(ATTENUATORS)):
att = ChannelDouble("Att"+str(i+1), ATTENUATORS[i])
att.initialize()
attenuators.append(att)
#Channel-based
#blm1 = ChannelDouble("blm1", "SINDI02-DBLM025:B1_LOSS"); blm1.setMonitored(True); blm1.initialize()
#blm2 = ChannelDouble("blm2", "SINDI02-DBLM085:B1_LOSS"); blm2.setMonitored(True); blm2.initialize()
#Stream creation
for att in attenuators:
att.write(ATT_SP)
sensors = []
line_plots = []
st = Stream("pulse_id", dispatcher)
st.setFilter("SIN-CVME-TIFGUN-EVR0:BEAMOK == 1")
for i in range(len(BLMS)):
blm = Scalar("blm" + str(i+1), st, BLMS[i] + ":B1_LOSS", 1, 0)
av = create_averager(blm, SAMPLES, interval = -1)
av.setMonitored(i>0)
sensors.append(av)
sensors.append(av.stdev)
sensors.append(av.samples)
line_plots.append(av.samples)
blmw = Waveform("blmw" + str(i+1), st, BLMS[i] + ":LOSS_SIGNAL_RAW", 1, 0)
sensors.append(blmw)
#for i in range(len(LLMS)):
# llm = Scalar("llm" + str(i+1), st, LLMS[i] + ":XX_LOSS", 1, 0)
# avl = create_averager(llm, SAMPLES, interval = -1)
# avl.setMonitored(i>0)
# sensors.append(avl)
# sensors.append(avl.stdev)
# sensors.append(avl.samples)
# line_plots.append(avl.samples)
for i in range(len(BPMS)):
bpm = Scalar("bpm" + str(i+1), st, BPMS[i], 1, 0)
av1 = create_averager(bpm, SAMPLES, interval = -1)
av1.setMonitored((i>0) or (len(BLMS)>0))
sensors.append(av1)
sensors.append(av1.stdev)
sensors.append(av1.samples)
line_plots.append(av1.samples)
#Scalar("beam_ok" , st, "SIN-CVME-TIFGUN-EVR0:BEAMOK" , 1, 0)
st.initialize()
st.start()
st.waitCacheChange(5000) #Wait stream be running before starting scan
"""
#Averaging
ablm1 = create_averager(blm1, SAMPLES, interval = -1)
ablm2 = create_averager(blm2, SAMPLES, interval = -1)
ablm3 = create_averager(blm3, SAMPLES, interval = -1)
ablm2.setMonitored(True)
ablm3.setMonitored(True)
"""
#Plot setup
setup_plotting( line_plots = line_plots)
#Metadata
set_attribute("/", "Samples" , SAMPLES)
set_attribute("/", "StepSize" , STEP_SIZE)
set_attribute("/", "SamplingTime" , SETTLING_TIME)
set_attribute("/", "Range" , RANGE)
set_attribute("/", "BLM" , BLMS)
#set_attribute("/", "BLMW" , BLMW)
set_attribute("/", "Gain" , GAINS)
set_attribute("/", "Attenuators" , ATTENUATORS)
set_attribute("/", "BPM" , BPMS)
for att in attenuators:
set_attribute("/", att.channelName, att.read())
try:
r=lscan(gain_positioners, sensors, [RANGE[0],] * len(gain_positioners), [RANGE[1],] * len(gain_positioners), [STEP_SIZE,] * len(gain_positioners), latency = SETTLING_TIME)
#r=bscan(st, 10)
finally:
st.close()
# save the entry in the logbook
if do_elog:
if get_option("Generated data file:\n" + get_exec_pars().path + "\n\n" + "Save to ELOG?", "YesNo") == "Yes":
gsa_log_msg = "Data file: " + get_exec_pars().path
gsa_log_msg = gsa_log_msg + "\nSamples = " + str(SAMPLES)
gsa_log_msg = gsa_log_msg + "\nStepSize = " + str(STEP_SIZE)
gsa_log_msg = gsa_log_msg + "\nSamplingTime = " + str(SETTLING_TIME)
gsa_log_msg = gsa_log_msg + "\nRange = " + str(RANGE)
gsa_log_msg = gsa_log_msg + "\nBLM = " + str(BLMS)
#gsa_log_msg = gsa_log_msg + "\nBLMW = " + str(BLMW)
gsa_log_msg = gsa_log_msg + "\nBPM = " + str(BPMS)
gsa_log_msg = gsa_log_msg + "\nGain = " + str(GAINS)
gsa_log_msg = gsa_log_msg + "\nAttenuators:" # " + str(ATTENUATORS)
for att in attenuators:
gsa_log_msg = gsa_log_msg + "\n " + att.setpoint.channelName + " = " + str(att.read())
plots = get_plot_snapshots()
save=[]
for i in range(len(BLMS)):
save.append(plots[3*i])
for i in range(len(BPMS)):
save.append(plots[3*i])
elog("BLM Gain scan", gsa_log_msg, save)

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@@ -0,0 +1,124 @@
#import ch.psi.pshell.epics.ChannelDouble as ChannelDouble
import ch.psi.pshell.bs.Scalar as Scalar
import ch.psi.pshell.epics.DiscretePositioner as DiscretePositioner
import ch.psi.pshell.epics.ChannelDouble as ChannelDouble
#Arguments
SAMPLES = 100
ICTS = ["SINEG01-DICT215", "S10DI01-DICT025", "SARMA01-DICT090", "SARBD01-DICT030"]
ICTV = ["SINEG01-DICT009:AL1-ICT-VOLTAGE", "S10DI01-DICT113:AL0-ICT-VOLTAGE", "SARMA01-DICT482:AL0-ICT-VOLTAGE","SARBD01-DICT599:AL0-ICT-VOLTAGE"]
BPMS = ["SINEG01-DBPM340:Q1", "S10DI01-DBPM110:Q1", "SARMA01-DBPM100:Q1", "SARBD01-DBPM040:Q1", "SARUN20-DBPM070:Q1"]
#ROT = ["SLGJG-LMRM-M031:MOT.VAL"] # Polarizer
ROT = ["SLGTV-LAPP:SIZE-SET"] # IRIS
#RANGE = [50.0, 15.0]
#STEP_SIZE = 5.0
RANGE = [4.4, 2.0] # IRIS range
STEP_SIZE = 0.1 # IRIS Step size
SETTLING_TIME = 3
SIMULATION = False
do_elog = True
rot_positioners = []
for i in range(len(ROT)):
rot_positioners.append( DummyPositioner("rot " + str(i+1)) if SIMULATION else Channel(ROT[i], alias = "rot" + str(i+1)))
#Stream creation
sensors = []
line_plots = []
st = Stream("pulse_id", dispatcher)
st.setFilter("SIN-CVME-TIFGUN-EVR0:BEAMOK == 1")
for i in range(len(ICTS)):
ict = Scalar("ict" + str(i+1), st, ICTS[i] + ":B1_CHARGE", 1, 0)
av = create_averager(ict, SAMPLES, interval = -1)
av.setMonitored(i>0)
sensors.append(av)
sensors.append(av.stdev)
sensors.append(av.samples)
line_plots.append(av.samples)
for i in range(len(BPMS)):
bpm = Scalar("bpm" + str(i+1), st, BPMS[i], 1, 0)
av1 = create_averager(bpm, SAMPLES, interval = -1)
av1.setMonitored((i>0) or (len(ICTS)>0))
sensors.append(av1)
sensors.append(av1.stdev)
sensors.append(av1.samples)
line_plots.append(av1.samples)
for i in range(len(ICTV)):
"""
ictv = Scalar("ictv" + str(i+1), st, ICTV[i], 1, 0)
av2 = create_averager(ictv, SAMPLES, interval = -1)
av2.setMonitored((i>0) or (len(ICTS)>0))
sensors.append(av2)
sensors.append(av2.stdev)
sensors.append(av2.samples)
"""
ictv = ChannelDouble("ictv" + str(i+1), ICTV[i])
add_device(ictv, True)
ictv.monitored = True
ictv.initialize()
av2 = create_averager(ictv, SAMPLES/2 , interval = -1)
av2.setMonitored(True)
sensors.append(av2)
add_device(av2, True)
#sensors.append(ictv)
#Scalar("beam_ok" , st, "SIN-CVME-TIFGUN-EVR0:BEAMOK" , 1, 0)
st.initialize()
st.start()
st.waitCacheChange(5000) #Wait stream be running before starting scan
"""
#Averaging
aict1 = create_averager(ict1, SAMPLES, interval = -1)
aict2 = create_averager(ict2, SAMPLES, interval = -1)
aict3 = create_averager(ict3, SAMPLES, interval = -1)
aict2.setMonitored(True)
aict3.setMonitored(True)
"""
#Plot setup
setup_plotting( line_plots = line_plots)
#Metadata
set_attribute("/", "Samples" , SAMPLES)
set_attribute("/", "StepSize" , STEP_SIZE)
set_attribute("/", "SamplingTime" , SETTLING_TIME)
set_attribute("/", "Range" , RANGE)
set_attribute("/", "ICTS" , ICTS)
set_attribute("/", "ICTV" , ICTV)
set_attribute("/", "Rot" , ROT)
set_attribute("/", "BPM" , BPMS)
try:
r=lscan(rot_positioners, sensors, [RANGE[0],] * len(rot_positioners), [RANGE[1],] * len(rot_positioners), [STEP_SIZE,] * len(rot_positioners), latency = SETTLING_TIME)
#r=bscan(st, 10)
finally:
st.close()
# save the entry in the logbook
if do_elog:
if get_option("Generated data file:\n" + get_exec_pars().path + "\n\n" + "Save to ELOG?", "YesNo") == "Yes":
gsa_log_msg = "Data file: " + get_exec_pars().path
gsa_log_msg = gsa_log_msg + "\nSamples = " + str(SAMPLES)
gsa_log_msg = gsa_log_msg + "\nStepSize = " + str(STEP_SIZE)
gsa_log_msg = gsa_log_msg + "\nSamplingTime = " + str(SETTLING_TIME)
gsa_log_msg = gsa_log_msg + "\nRange = " + str(RANGE)
gsa_log_msg = gsa_log_msg + "\nICTS = " + str(ICTS)
gsa_log_msg = gsa_log_msg + "\nBPM = " + str(BPMS)
plots = get_plot_snapshots()
save=[]
for i in range(len(ICTS)):
save.append(plots[3*i])
for i in range(len(BPMS)):
save.append(plots[3*i])
elog("Charge scan", gsa_log_msg, save)

View File

@@ -2,9 +2,8 @@ import ch.psi.pshell.epics.Positioner as Positioner
import ch.psi.pshell.epics.Camtool as Camtool
#Parameters
dry_run = False
dry_run = True
do_elog = True
camera_name = "SINBD01-DSCR010"
if get_exec_pars().source == CommandSource.ui:
start = 45.0
stop = 55.0
@@ -24,26 +23,27 @@ else:
energy0 = args[6]
plt = args[7]
A = energy0 / disp / 1e6
B = energy0
#Plot setup
plt.clear()
plt.setStyle(plt.Style.ErrorY)
plt.addSeries(LinePlotErrorSeries("Energy"))
plt.addSeries(LinePlotErrorSeries("Energy Spread", None, 2))
plt.getAxis(plt.AxisId.X).setLabel("Gun Phase")
plt.getAxis(plt.AxisId.X).setLabel("Gun Beam Phase (deg)")
plt.getAxis(plt.AxisId.Y).setLabel("Energy (MeV)")
plt.getAxis(plt.AxisId.Y2).setLabel("Energy Spread (MeV)")
plt.setLegendVisible(True)
#Creating Phase positioner
if dry_run:
phase = Positioner("Phase", "SINEG01-RSYS:SET-BEAM-PHASE-SIM", "SINEG01-RSYS:SET-BEAM-PHASE-SIM")
#phase = DummyPositioner("Phase")
camera_name = "SLG-LCAM-C041"
do_elog = False
else:
phase = Positioner("Phase", "SINEG01-RSYS:SET-BEAM-PHASE", "SINEG01-RSYS:GET-BEAM-PHASE")
phase = Positioner("Phase", "SINEG01-RSYS:SET-BEAM-PHASE", "SINEG01-RSYS:GET-BEAM-PHASE")
camera_name = "SINBD01-DSCR010"
phase.config.minValue = -180.0
phase.config.maxValue = 180.0
phase.config.precision = 3
@@ -58,47 +58,41 @@ phase0 = phase.read()
check_camtool()
camtool.start(camera_name)
wait_camtool_message()
x = camtool.stream.getChild("x_fit_mean")
dx = camtool.stream.getChild("x_fit_standard_deviation")
x = camtool.stream.getChild("x_center_of_mass")
dx = camtool.stream.getChild("x_rms")
#Creating averagers
xb = create_averager(x, nb, -1) # -1 event based, waits for the next value
dxb = create_averager(dx, nb, -1)
dxb.monitored=True # not blocking, will return last nb values
x_averager = create_averager(x, nb, -1) # -1 event based, waits for the next value
dx_averager = create_averager(dx, nb, -1)
dx_averager.monitored=True # not blocking, will return last nb values
#Record callback: uptate of output plot
def after_sample(record, scan):
global energy0, disp
x_fit_mean, x_fit_mean_sigma, = record.values[0].mean, record.values[0].stdev
x_fit_std, x_fit_std_sigma = record.values[1].mean, record.values[1].stdev
E_mean, E_std = energy0 * (1 + x_fit_mean / 1e6 / disp), abs(energy0 * (x_fit_mean_sigma / 1e6 / disp))
dE_mean, dE_std = abs(energy0 * (x_fit_std / 1e6 / disp)), abs(energy0 * (x_fit_std_sigma / 1e6 / disp))
plt.getSeries(0).appendData(record.positions[0], E_mean, E_std)
plt.getSeries(1).appendData(record.positions[0], dE_mean, dE_std)
global A, B
x_pos_mean, x_pos_stdev = record.values[0].mean, record.values[0].stdev
x_width_mean, x_width_stdev = record.values[1].mean, record.values[1].stdev
E_mean, E_stdev = A * x_pos_mean + B, abs(A) * x_pos_stdev
dE_mean, dE_stdev = abs(A) * x_width_mean, abs(A) * x_width_stdev
plt.getSeries(0).appendData(record.positions[0], E_mean, E_stdev)
plt.getSeries(1).appendData(record.positions[0], dE_mean, dE_stdev)
#The scan loop
try:
r = lscan(phase, [xb, dxb], start, stop, step , latency=lat, after_read = after_sample)
r = lscan(phase, [x_averager, dx_averager], start, stop, step , latency=lat, after_read = after_sample)
finally:
phase.write(phase0)
phase.close()
camtool.stop() # stops camtool but does not close it camtool is a global object
#Saving metadata
E = [energy0 * (1 + val.mean / 1e6 / disp) for val in r.getReadable(0)]
dE = [abs(energy0 * (val.mean / 1e6 / disp)) for val in r.getReadable(1)]
E = [A * val.mean + B for val in r.getReadable(0)]
dE = [abs(A) * val.mean for val in r.getReadable(1)]
save_dataset(get_exec_pars().group + "/E", E)
save_dataset(get_exec_pars().group + "/dE", dE)
if do_elog:
if get_option("Generated data file:\n" + get_exec_pars().path +"\n\n" + "Save to ELOG?", "YesNo") == "Yes":
log_msg = "Data file: " + get_exec_pars().path
#log_msg = log_msg + "\n\n" + r.print()
log_msg = "Data file: " + get_exec_pars().path
sleep(0.1) #Give some time to plot to be finished - it is not sync with acquisition
file_name = os.path.abspath(get_context().setup.getContextPath() + "/GunScanPlot.png")
plt.saveSnapshot(file_name , "png")

View File

@@ -1,15 +1,16 @@
import ch.psi.pshell.epics.Positioner as Positioner
import ch.psi.pshell.epics.ChannelDouble as ChannelDouble
dry_run = True
do_elog = False
dry_run = False
do_elog = True
if get_exec_pars().source == CommandSource.ui:
start = -30.0
stop = 30.0
start = -180.0
stop = 180.0
step = 5.0
nb = 1
lat = 0.100
plt = None
plt = None
else:
start = args[0]
stop = args[1]
@@ -21,43 +22,42 @@ else:
if plt is not None:
plt.setStyle(plt.Style.ErrorY)
plt.addSeries(LinePlotErrorSeries("Values"))
plt.getAxis(plt.AxisId.X).setLabel("RF Gun Phase")
plt.getAxis(plt.AxisId.X).setLabel("Gun Beam Phase (deg)")
plt.getAxis(plt.AxisId.Y).setLabel("SINEG01-DICT215:B1_CHARGE")
if dry_run:
bph = Positioner("Beam phase", "SINEG01-RSYS:SET-BEAM-PHASE-SIM", "SINEG01-RSYS:SET-BEAM-PHASE-SIM")
q = ChannelDouble('ICT-Q', "SINEG01-DICT215:B1_CHARGE-SIM")
rph = ChannelDouble('RF phase', "SINEG01-RSYS:SET-VSUM-PHASE-SIM")
q = ChannelDouble('ICT-Q', "SINEG01-DICT215:B1_CHARGE-SIM")
q.initialize()
q.monitored=True
else:
bph = Positioner("Beam phase", "SINEG01-RSYS:SET-BEAM-PHASE", "SINEG01-RSYS:SET-BEAM-PHASE")
bph = Positioner("Beam phase", "SINEG01-RSYS:SET-BEAM-PHASE", "SINEG01-RSYS:GET-BEAM-PHASE")
rph = ChannelDouble('RF phase', "SINEG01-RSYS:SET-VSUM-PHASE")
st = Stream("ICTstream", dispatcher)
q = st.addScalar("Charge", "SINEG01-DICT215:B1_CHARGE", 1, 0)
st.initialize()
st.start()
st.waitValueChange(10000)
bph.config.minValue =-180.0
bph.config.maxValue = 360.0
bph.config.maxValue = 180.0
bph.config.precision = 3
bph.config.rotation = True
bph.config.rotation = True
bph.config.resolution = 1.0
bph.config.save()
bph.initialize()
rph = ChannelDouble('RF phase', "SINEG01-RSYS:SET-VSUM-PHASE-SIM")
rph.initialize()
rph.monitored=True
rph0 = rph.read()
#Record callback: uptate of output plot
def after_sample(record, scan):
if plt is not None:
plt.getSeries(0).appendData(record.positions[0], record.values[1].mean, record.values[1].stdev)
try:
try:
rph_averager = create_averager(rph, nb, 0.1) # Set polling time to -1 for BS data to get all messages
q_averager = create_averager(q, nb, 0.1)
q_averager.monitored=True
@@ -75,25 +75,20 @@ finally:
#Setting the return value
index_max = charge.index(max(charge))
bph_ref = beamphase[index_max] - 80
rph_ref = rfphase[index_max] - 80
print "Beam phase reference = ", bph_ref
print "RF phase reference = ", rph_ref
bph_ref_guess = beamphase[index_max] - 80
rph_ref_guess = rfphase[index_max] - 80
if do_elog:
if get_option("Generated data file:\n" + get_exec_pars().path +"\n\n" + "Save to ELOG?", "YesNo") == "Yes":
log_msg = "Data file: " + get_exec_pars().path + "\n"
log_msg = log_msg + "Beam phase reference: %0.1f" % bph_ref + "\n"
log_msg = log_msg + "RF phase reference: %0.1f" % rph_ref + "\n"
log_msg = "Data file: " + get_exec_pars().path + "\n"
log_msg = log_msg + "Beam phase reference: %0.1f" % bph_ref_guess + "deg \n"
log_msg = log_msg + "RF phase reference: %0.1f" % rph_ref_guess + "deg \n"
attachments = []
if plt is not None:
sleep(0.1) #Give some time to plot to be finished - it is not sync with acquisition
file_name = os.path.abspath(get_context().setup.getContextPath() + "/SchottkyScanPlot.png")
plt.saveSnapshot(file_name , "png")
plt.saveSnapshot(file_name, "png")
attachments = [file_name,]
elog("Gun scan", log_msg, attachments)
set_return([bph_ref, rph_ref])
elog("Schottky scan", log_msg, attachments)
set_return([bph_ref_guess, rph_ref_guess])

View File

@@ -1,32 +1,31 @@
dry_run = True
dry_run = False
do_elog = True
if get_exec_pars().source == CommandSource.ui:
phaseOffset = rph_ref
plt = None
do_elog = False
bph_ref_user = 0.0
plt = None
else:
phaseOffset = args[0]
plt = args[1]
bph_ref_user = args[0]
plt = args[1]
rph_ref_new = rph_ref_guess + (bph_ref_guess - bph_ref_user)
phaseOffset = -rph_ref_new
bph_ref_new = rph_ref_new + phaseOffset
print "Setting phase offset: ", phaseOffset
phaseOffset = -phaseOffset
if not dry_run:
caput('SINEG01-RSYS:SET-VSUM-PHASE-OFFSET-BASE', phaseOffset)
caput('SINEG01-RSYS:CMD-LOAD-CALIB-BEAM', 1)
if do_elog:
log_msg = "Phase offset: %0.1f" % bph_ref + "\n"
log_msg = "RF phase reference: %0.1f" % rph_ref_new + "deg \n"
log_msg = log_msg + "Phase offset: %0.1f" % phaseOffset + "deg \n"
log_msg = log_msg + "Beam phase reference: %0.1f" % bph_ref_new + "deg \n"
attachments = []
if plt is not None:
sleep(0.1) #Give some time to plot to be finished - it is not sync with acquisition
file_name = os.path.abspath(get_context().setup.getContextPath() + "/SchottkyScanSetPlot.png")
plt.saveSnapshot(file_name , "png")
attachments = [file_name,]
plt.saveSnapshot(file_name , "png")
attachments = [file_name]
elog("SchottkyScanSet", log_msg, attachments)
show_message("Success setting phase reference")
show_message("Success setting phase reference")

View File

@@ -1,4 +1,8 @@
import ch.psi.pshell.epics.ControlledVariable as ControlledVariable
import ch.psi.pshell.epics.Positioner as Positioner
import ch.psi.pshell.epics.ChannelDouble as ChannelDouble
dry_run = True
do_elog = False
if get_exec_pars().source == CommandSource.ui:
station = "STEST01"
@@ -15,15 +19,25 @@ nb = caget(station + "-RSYS:SET-NUM-AVERAGE")
disp = caget(bpm_ch + ":DISPERSION")
energy0 = caget(bpm_ch + ":ENERGY")
phase = ControlledVariable("Phase", station + "-RSYS:SET-VSUM-PHASE", station + "-RSYS:GET-VSUM-PHASE")
A = energy0 / disp / 1e3
B = energy0
phase = Positioner("Phase", station + "-RSYS:SET-VSUM-PHASE", station + "-RSYS:GET-VSUM-PHASE")
phase.config.minValue =-180.0
phase.config.maxValue = 360.0
phase.config.maxValue = 180.0
phase.config.precision = 4
phase.config.rotation = True
phase.config.resolution = 0.5
phase.initialize()
V = Channel(station + "-RSYS:GET-VSUM-AMPLT", type = 'd', alias='Amplitude Readback')
P = Channel(station + "-RSYS:GET-KLY-POWER", type = 'd', alias='Power Readback')
x = Channel(bpm_ch + ":X1", type = 'd', alias='BPM-X')
V = ChannelDouble("Amplitude Readback", station + "-RSYS:GET-VSUM-AMPLT")
P = ChannelDouble("Power Readback", station + "-RSYS:GET-KLY-POWER")
if dry_run:
x = ChannelDouble("BPM-X", bpm_ch + ":X1-SIMU")
else:
x = ChannelDouble("BPM-X", bpm_ch + ":X1")
V.initialize()
P.initialize()
x.initialize()
phase0 = phase.read()
@@ -37,9 +51,9 @@ caput(station + "-RSYS:GET-ONCREST-KLY-POWER", float('nan'))
#update the plot dynamically
arr_phase,arr_energy = [],[]
def after(rec):
global disp, energy0
global A, B
arr_phase.append(rec.positions[0])
arr_energy.append(energy0 * (1 + rec.values[0].mean / 1000.0 / disp))
arr_energy.append(A * rec.values[0].mean + B)
caput(station + "-RSYS:GET-PHASE-ARRAY", to_array(arr_phase, 'd'))
caput(station + "-RSYS:GET-ENERGY-ARRAY", to_array(arr_energy,'d'))
@@ -47,7 +61,7 @@ try:
x_averager = create_averager(x, nb, 0.100)
r = lscan(phase, x_averager, start, stop, step, latency=lat, after_read = after)
rf_phase = r.getPositions(0)
energy = [energy0 * (1 + val.mean / 1000.0 / disp) for val in r.getReadable(0)]
energy = [A * val.mean + B for val in r.getReadable(0)]
caput(station + "-RSYS:GET-ENERGY-ARRAY", to_array(energy, 'd'))
caput(station + "-RSYS:GET-PHASE-ARRAY", to_array(rf_phase,'d'))
try:
@@ -78,15 +92,19 @@ finally:
phase_offset = 90 - ph_crest
amplitude_scale = fit_amplitude / Ampl
power_scale = Power / math.pow(Ampl,2)
power_scale = Power / math.pow(fit_amplitude,2)
caput(station + "-RSYS:SET-VSUM-PHASE-OFFSET-BASE", phase_offset)
#caput(station + "-RSYS:SET-VSUM-AMPLT-SCALE", amplitude_scale)
#caput(station + "-RSYS:SET-VOLT-POWER-SCALE", power_scale)
caput(station + "-RSYS:SET-VSUM-AMPLT-SCALE", amplitude_scale)
caput(station + "-RSYS:SET-VOLT-POWER-SCALE", power_scale)
#title="Phase scan "+str(station)
#message=("Energy Gain: %0.3f" % energy_gain + "MeV\n" +
# "Phase Offset: %0.2f" % phase_offset + "deg\n" +
# "Amplitude Scale: %0.3f" % amplitude_scale + "MV\n" +
# "Power Scale: %0.3f" % power_scale) + "1/ohm"
#elog(title, message)
if do_elog:
if get_option("Generated data file:\n" + get_exec_pars().path +"\n\n" + "Save to ELOG?", "YesNo") == "Yes":
title = "Phase scan" + station
log_msg = "Data file: " + get_exec_pars().path + "\n"
log_msg = log_msg + "Energy Gain: %0.3f" % energy_gain + "MeV\n"
log_msg = log_msg + "Phase Offset: %0.2f" % phase_offset + "deg\n"
log_msg = log_msg + "Amplitude Scale: %0.3f" % amplitude_scale + "MV\n"
log_msg = log_msg + "Power Scale: %0.3f" % power_scale + "MW/MV^2"
attachments = []
elog(title, log_msg, attachments)

View File

@@ -0,0 +1,14 @@
import ch.psi.pshell.imaging.Data as Data
d = load_data("2017/06/16/20170616_122305_snapshot.h5|/data")
atts = get_attributes("2017/06/16/20170616_122305_snapshot.h5|/data")
data = Data(d)
iv = data.integrateVertically(False)
ih = data.integrateHorizontally(False)
xp = atts["x_profile"]
yp = atts["y_profile"]
p1, p2 = plot([xp, yp], ["X profile", "Y profile"])
p1.addSeries(LinePlotSeries("d"))
p2.addSeries(LinePlotSeries("d"))
p1.getSeries(1).setData(iv)
p2.getSeries(1).setData(ih)

View File

@@ -0,0 +1,33 @@
#import ch.psi.pshell.epics.ChannelDouble as ChannelDouble
import ch.psi.pshell.bs.Scalar as Scalar
import ch.psi.pshell.bs.Waveform as Waveform
dispatcher.config.disableCompression = False
set_exec_pars(persist = False)
#Arguments
SAMPLES = 5
BLMS = ["SINDI02-DBLM025", ] #"SINDI02-DBLM085", "S10DI01-DBLM045"]
sensors = []
st = Stream("pulse_id", dispatcher)
#st.setFilter("SIN-CVME-TIFGUN-EVR0:BEAMOK == 1")
for i in range(len(BLMS)):
blm = Scalar("blm" + str(i+1), st, BLMS[i] + ":B1_LOSS", 1, 0)
av = create_averager(blm, SAMPLES, interval = -1)
av.setMonitored(i>0)
sensors.append(av)
sensors.append(av.stdev)
sensors.append(av.samples)
bpmw = Waveform("blmw" + str(i+1), st, BLMS[i] + ":LOSS_SIGNAL_RAW", 1, 0)
sensors.append(bpmw)
st.initialize()
st.start()
if not st.waitCacheChange(3000): #Wait stream be running before starting scan
raise Exception("Stream timeout")
bscan(st, 10)

View File

@@ -0,0 +1,100 @@
#import ch.psi.pshell.epics.ChannelDouble as ChannelDouble
import ch.psi.pshell.bs.Scalar as Scalar
import ch.psi.pshell.bs.Waveform as Waveform
import ch.psi.pshell.epics.DiscretePositioner as DiscretePositioner
dispatcher.config.disableCompression = True
#set_exec_pars(persist = False)
#Arguments
SAMPLES = 2
GAINS = ["SINDI02-DBLM084:M06-1-CH03-V-MM","SINDI02-DBLM084:M06-2-CH03-V-MM","S10DI01-DBLM113:M06-1-CH03-V-MM"]
BLMS = ["SINDI02-DBLM025", "SINDI02-DBLM085", "S10DI01-DBLM045"]
BLMW = ["SINDI02-DBLM025:LOSS_SIGNAL_RAW", "SINDI02-DBLM085:LOSS_SIGNAL_RAW", "S10DI01-DBLM045:LOSS_SIGNAL_RAW"]
BPMS = ["SINDI01-DBPM060:Q1", "SINDI02-DBPM010:Q1"]
ATTENUATORS = ["SINDI02-DBLM084:M06-1-ATT2-VAL", "SINDI02-DBLM084:M06-2-ATT2-VAL", "S10DI01-DBLM113:M06-1-ATT2-VAL"]
ATT_SP = 0 #3,6,9,12,15
RANGE = [0.5, 1.1]
STEP_SIZE = 0.1
SETTLING_TIME = 0.5
SIMULATION = False
do_elog = True
gain_positioners = []
for i in range(len(GAINS)):
gain_positioners.append( DummyPositioner("gain " + str(i+1)) if SIMULATION else Channel(GAINS[i], alias = "gain " + str(i+1)))
attenuators = []
for i in range(len(ATTENUATORS)):
att = DiscretePositioner("Att"+str(i+1), ATTENUATORS[i])
att.initialize()
attenuators.append(att)
#Channel-based
#blm1 = ChannelDouble("blm1", "SINDI02-DBLM025:B1_LOSS"); blm1.setMonitored(True); blm1.initialize()
#blm2 = ChannelDouble("blm2", "SINDI02-DBLM085:B1_LOSS"); blm2.setMonitored(True); blm2.initialize()
#Stream creation
class ListenerBpmw (DeviceListener):
def onValueChanged(self, device, value, former):
if sampling and (get_exec_pars().scan is not None):
path = get_exec_pars().group + "rec " + str(get_exec_pars().scan.recordIndex) + "/" + device.name
if "Exception" in get_attributes(path).keys(): #If file does not exist
create_dataset(path, 'd', False, (0, len(value)))
append_dataset(path,value)
sampling = False
def before():
global sampling
sampling = True
def after():
global sampling
sampling = False
sensors = []
line_plots = []
st = Stream("pulse_id", dispatcher)
st.setFilter("SIN-CVME-TIFGUN-EVR0:BEAMOK == 1")
for i in range(len(BLMS)):
blm = Scalar("blm" + str(i+1), st, BLMS[i] + ":B1_LOSS", 1, 0)
av = create_averager(blm, SAMPLES, interval = -1)
av.setMonitored(i>0)
sensors.append(av)
sensors.append(av.stdev)
sensors.append(av.samples)
line_plots.append(av.samples)
bpmw = Waveform("blmw" + str(i+1), st, BLMS[i] + ":LOSS_SIGNAL_RAW", 1, 0)
#sensors.append(bpmw)
bpmw.addListener(ListenerBpmw())
#st.initialize()
#st.start()
#st.waitCacheChange(10000) #Wait stream be running before starting scan
for i in range(len(BPMS)):
bpm = Scalar("bpm" + str(i+1), st, BPMS[i], 1, 0)
av1 = create_averager(bpm, SAMPLES, interval = -1)
av1.setMonitored(i>0 or (len(BLMS) > 0))
sensors.append(av1)
sensors.append(av1.stdev)
sensors.append(av1.samples)
line_plots.append(av1.samples)
#Scalar("beam_ok" , st, "SIN-CVME-TIFGUN-EVR0:BEAMOK" , 1, 0)
try:
st.initialize()
st.start()
if not st.waitCacheChange(10000): #Wait stream be running before starting scan
raise Exception("Stream timeout")
tscan(sensors, 5, 0.5, before_read=before, after_read=after)
finally:
st.close()

View File

@@ -1,4 +1,8 @@
import ch.psi.pshell.epics.ControlledVariable as ControlledVariable
import ch.psi.pshell.epics.Positioner as Positioner
import ch.psi.pshell.epics.ChannelDouble as ChannelDouble
dry_run = True
do_elog = False
if get_exec_pars().source == CommandSource.ui:
station = "STEST01"
@@ -15,15 +19,22 @@ nb = caget(station + "-RSYS:SET-NUM-AVERAGE")
disp = caget(bpm_ch + ":DISPERSION")
energy0 = caget(bpm_ch + ":ENERGY")
phase = ControlledVariable("Phase", station + "-RSYS:SET-VSUM-PHASE", station + "-RSYS:GET-VSUM-PHASE")
phase = Positioner("Phase", station + "-RSYS:SET-VSUM-PHASE", station + "-RSYS:GET-VSUM-PHASE")
phase.config.minValue =-180.0
phase.config.maxValue = 360.0
phase.config.maxValue = 180.0
phase.config.precision = 3
phase.config.rotation = True
phase.config.resolution = 0.5
phase.initialize()
V = Channel(station + "-RSYS:GET-VSUM-AMPLT", type = 'd', alias='Amplitude Readback')
P = Channel(station + "-RSYS:GET-KLY-POWER", type = 'd', alias='Power Readback')
x = Channel(bpm_ch + ":X1-SIMU", type = 'd', alias='BPM-X')
V = ChannelDouble("Amplitude Readback", station + "-RSYS:GET-VSUM-AMPLT")
P = ChannelDouble("Power Readback", station + "-RSYS:GET-KLY-POWER")
if dry_run:
x = ChannelDouble("BPM-X", bpm_ch + ":X1-SIMU")
else:
x = ChannelDouble("BPM-X", bpm_ch + ":X1")
V.initialize()
P.initialize()
x.initialize()
phase0 = phase.read()
@@ -84,9 +95,18 @@ caput(station + "-RSYS:SET-VSUM-PHASE-OFFSET-BASE", phase_offset)
caput(station + "-RSYS:SET-VSUM-AMPLT-SCALE", amplitude_scale)
caput(station + "-RSYS:SET-VOLT-POWER-SCALE", power_scale)
#title="Phase scan "+str(station)
#message=("Energy Gain: %0.3f" % energy_gain + "MeV\n" +
# "Phase Offset: %0.2f" % phase_offset + "deg\n" +
# "Amplitude Scale: %0.3f" % amplitude_scale + "MV\n" +
# "Power Scale: %0.3f" % power_scale) + "1/ohm"
#elog(title, message)
if do_elog:
if get_option("Generated data file:\n" + get_exec_pars().path +"\n\n" + "Save to ELOG?", "YesNo") == "Yes":
title = "Phase scan" + station
log_msg = "Data file: " + get_exec_pars().path + "\n"
log_msg = log_msg + "Energy Gain: %0.3f" % energy_gain + "MeV\n"
log_msg = log_msg + "Phase Offset: %0.2f" % phase_offset + "deg\n"
log_msg = log_msg + "Amplitude Scale: %0.3f" % amplitude_scale + "MV\n"
log_msg = log_msg + "Power Scale: %0.3f" % power_scale + "MW/MV^2"
attachments = []
if plt is not None:
sleep(0.1) #Give some time to plot to be finished - it is not sync with acquisition
file_name = os.path.abspath(get_context().setup.getContextPath() + "/SchottkyScanPlot.png")
plt.saveSnapshot(file_name, "png")
attachments = [file_name,]
elog(title, log_msg, attachments)