changed to decimated integrals

Signed-off-by: Bernardo Carvalho <bernardo.carvalho@tecnico.ulisboa.pt>
This commit is contained in:
2024-05-09 12:21:08 +00:00
parent 01d94b88a5
commit 6be45640c5
2 changed files with 50 additions and 38 deletions

View File

@@ -9,16 +9,17 @@ import numpy as np
from MDSplus import Tree from MDSplus import Tree
import argparse import argparse
ADC_CHANNELS = 14 # channels stored in ISTTOK ADC_CHANNELS = 14 # channels stored in ISTTOK
DECIM_RATE = 200 DECIM_RATE = 200
MDSTREENAME = 'rtappisttok' MDSTREENAME = 'rtappisttok'
def main(args): def main(args):
mdsPulseNumber = args.shot mdsPulseNumber = args.shot
try: try:
if(mdsPulseNumber > 0): if (mdsPulseNumber > 0):
tree = Tree(MDSTREENAME, mdsPulseNumber) tree = Tree(MDSTREENAME, mdsPulseNumber)
else: else:
tree = Tree(MDSTREENAME) tree = Tree(MDSTREENAME)
@@ -26,52 +27,58 @@ def main(args):
tree.close() tree.close()
tree = Tree(MDSTREENAME, mdsPulseNumber) tree = Tree(MDSTREENAME, mdsPulseNumber)
except: except Exception:
print(f'Failed opening {MDSTREENAME} for pulse number {mdsPulseNumber:d}') print(f'Failed opening {MDSTREENAME} for pulse number ' +
f'{mdsPulseNumber:d}')
exit() exit()
print(f'Openpening {MDSTREENAME} for pulse number {mdsPulseNumber:d}') print(f'Opening {MDSTREENAME} for pulse number {mdsPulseNumber:d}')
# add plt.addLegend() BEFORE you create the curves. # add plt.addLegend() BEFORE you create the curves.
#mdsNode = tree.getNode("ATCAIOP1.ADC0RAW") # mdsNode = tree.getNode("ATCAIOP1.ADC0RAW")
#dataAdc = mdsNode.getData().data() # dataAdc = mdsNode.getData().data()
#timeData = mdsNode.getDimensionAt(0).data() # timeData = mdsNode.getDimensionAt(0).data()
start = args.crange[0] -1; stop = args.crange[1] # start = args.crange[0] - 1
#for i in range(args.crange[0], args.crange[1]): # top = args.crange[1]
# for i in range(args.crange[0], args.crange[1]):
meanD = np.zeros(ADC_CHANNELS, dtype=int) meanD = np.zeros(ADC_CHANNELS, dtype=int)
driftW = np.zeros(ADC_CHANNELS) driftW = np.zeros(ADC_CHANNELS)
total_samples = 0 total_samples = 0
for i in range(ADC_CHANNELS): for i in range(ADC_CHANNELS):
mdsNode = tree.getNode(f"ATCAIOP1.ADC{i}RAW") mdsNode = tree.getNode(f"ATCAIOP1.ADC{i}RAW")
dataAdc = mdsNode.getData().data() dataAdc = mdsNode.getData().data()
meanD[i] = np.mean(dataAdc[:,0]).astype(int) meanD[i] = np.mean(dataAdc[:, 0]).astype(int)
mdsNode = tree.getNode(f"ATCAIOP1.ADC{i}INT") mdsNode = tree.getNode(f"ATCAIOP1.ADC{i}INT")
dataAdcInt = mdsNode.getData().data() dataAdcInt = mdsNode.getData().data()
total_samples = DECIM_RATE * len(dataAdcInt[:, 0]) total_samples = DECIM_RATE * len(dataAdcInt[:, 0])
driftW[i] = (dataAdcInt[-1, 0] - dataAdcInt[0, 0]) /total_samples driftW[i] = (dataAdcInt[-1, 0] - dataAdcInt[0, 0]) / total_samples
# if(args.averages): # if(args.averages):
print(f"EO: {ADC_CHANNELS} ", end='') print(f"EO: {ADC_CHANNELS} ", end='')
for i in range(ADC_CHANNELS): for i in range(ADC_CHANNELS):
print(f"{meanD[i]:d} ", end='') print(f"{meanD[i]:d} ", end='')
print(" ") print(" ")
print(f"WO: {ADC_CHANNELS} ", end='') print(f"WO: {ADC_CHANNELS} ", end='')
for i in range(ADC_CHANNELS): for i in range(ADC_CHANNELS):
print(f"{driftW[i]:0.3f} ", end='') print(f"{driftW[i]:0.3f} ", end='')
print(" ") print(" ")
print(f"Samples {total_samples}, time {total_samples/2e3:.2f} ms") print(f"Samples {total_samples}, time {total_samples/2e3:.2f} ms")
if __name__ == '__main__': if __name__ == '__main__':
parser = argparse.ArgumentParser(description = 'Script to support the QA activities') parser = argparse.ArgumentParser(
description='Script to support the QA activities')
#parser.add_argument('-l','--list', nargs='+', help='<Required> Set flag', required=True) # parser.add_argument('-l','--list', nargs='+', help='<Required> Set flag', required=True)
#parser.add_argument('-l','--list', nargs='+') # parser.add_argument('-l','--list', nargs='+')
parser.add_argument('-c', '--crange', nargs='+',type=int, help='Channel plots (1 12)',default=[1, 12]) parser.add_argument('-c', '--crange', nargs='+',
parser.add_argument('-i', '--irange', nargs='+',type=int,default=[1, 12]) type=int, help='Channel plots (1 12)', default=[1, 12])
parser.add_argument('-s', '--shot', type=int, help='Mds+ pulse Number ([1, ...])', default=0) parser.add_argument('-i', '--irange', nargs='+',
#parser.add_argument('-e', '--averages', action='store_true', help='Calc averages') type=int, default=[1, 12])
#parser.add_argument('-w', '--drift', action='store_true', help='Calc drifts') parser.add_argument('-s', '--shot',
#, default='') type=int, help='Mds+ pulse Number ([1, ...])',
default=0)
# parser.add_argument('-e', '--averages', action='store_true', help='Calc averages')
# parser.add_argument('-w', '--drift', action='store_true', help='Calc drifts')
args = parser.parse_args() args = parser.parse_args()
main(args) main(args)

View File

@@ -22,14 +22,17 @@ DECIM_RATE = 200
parser = argparse.ArgumentParser( parser = argparse.ArgumentParser(
description='Script to support the QA activities') description='Script to support the QA activities')
# parser.add_argument('-l','--list', nargs='+', help='<Required> Set flag', required=True) # parser.add_argument('-l','--list', nargs='+',
# help='<Required> Set flag', required=True)
# parser.add_argument('-l','--list', nargs='+') # parser.add_argument('-l','--list', nargs='+')
parser.add_argument('-c', '--crange', nargs='+', type=int, parser.add_argument('-c', '--crange', nargs='+', type=int,
help='Channel plots (1 12)', default=[1, 12]) help='Channel plots (1 12)', default=[1, 12])
parser.add_argument('-i', '--irange', nargs='+', type=int, default=[1, 12]) parser.add_argument('-i', '--irange', nargs='+', type=int, default=[1, 12])
# arser.add_argument('pulse','-', nargs='+', help='<Required> Set flag', required=True) # arser.add_argument('pulse','-', nargs='+', help='<Required> Set flag', required=True)
parser.add_argument('-s', '--shot', type=int, help='Mds+ pulse Number ([1, ...])', default=100) parser.add_argument('-s', '--shot', type=int,
parser.add_argument('-m', '--maxpoints', type=int, help='Max points to plot', default=50000) help='Mds+ pulse Number ([1, ...])', default=100)
parser.add_argument('-m', '--maxpoints', type=int,
help='Max points to plot', default=50000)
parser.add_argument('-e', '--averages', action='store_true', parser.add_argument('-e', '--averages', action='store_true',
help='Calc averages') help='Calc averages')
# parser.add_argument('-w', '--drift', action='store_true', help='Calc drifts') # parser.add_argument('-w', '--drift', action='store_true', help='Calc drifts')
@@ -60,7 +63,8 @@ p1 = win.addPlot(title="ATCA-IOP ADC raw decimated")
# dataAdc = mdsNode.getData().data() # dataAdc = mdsNode.getData().data()
# timeData = mdsNode.getDimensionAt(0).data() # timeData = mdsNode.getDimensionAt(0).data()
p1.addLegend() p1.addLegend()
start = args.crange[0] -1; stop = args.crange[1] start = args.crange[0] - 1
stop = args.crange[1]
# for i in range(args.crange[0], args.crange[1]): # for i in range(args.crange[0], args.crange[1]):
meanD = np.zeros(ADC_CHANNELS, dtype=int) meanD = np.zeros(ADC_CHANNELS, dtype=int)
driftW = np.zeros(ADC_CHANNELS) driftW = np.zeros(ADC_CHANNELS)
@@ -68,7 +72,7 @@ total_samples = 0
for i in range(ADC_CHANNELS): for i in range(ADC_CHANNELS):
mdsNode = tree.getNode(f"ATCAIOP1.ADC{i}RAW") mdsNode = tree.getNode(f"ATCAIOP1.ADC{i}RAW")
dataAdc = mdsNode.getData().data() dataAdc = mdsNode.getData().data()
meanD[i] = np.mean(dataAdc[:,0]).astype(int) meanD[i] = np.mean(dataAdc[:, 0]).astype(int)
mdsNode = tree.getNode(f"ATCAIOP1.ADC{i}INT") mdsNode = tree.getNode(f"ATCAIOP1.ADC{i}INT")
dataAdcInt = mdsNode.getData().data() dataAdcInt = mdsNode.getData().data()
total_samples = DECIM_RATE * len(dataAdcInt[:, 0]) total_samples = DECIM_RATE * len(dataAdcInt[:, 0])
@@ -90,7 +94,7 @@ for i in range(start, stop):
mdsNode = tree.getNode(f"ATCAIOP1.ADC{i}RAW") mdsNode = tree.getNode(f"ATCAIOP1.ADC{i}RAW")
dataAdc = mdsNode.getData().data() dataAdc = mdsNode.getData().data()
timeData = mdsNode.getDimensionAt(0).data() timeData = mdsNode.getDimensionAt(0).data()
y = dataAdc[ :args.maxpoints, 0] y = dataAdc[:args.maxpoints, 0]
x = DECIM_RATE * np.arange(len(y)) / 2.0e6 x = DECIM_RATE * np.arange(len(y)) / 2.0e6
p1.plot(x, y, pen=pg.mkPen(i, width=2), name=f"Ch {i+1}") p1.plot(x, y, pen=pg.mkPen(i, width=2), name=f"Ch {i+1}")
# p1.setLabel('bottom', "Y Axis", units='s') # p1.setLabel('bottom', "Y Axis", units='s')
@@ -99,7 +103,8 @@ win.nextRow()
p4 = win.addPlot(title="Channel Integrals") p4 = win.addPlot(title="Channel Integrals")
p4.addLegend() p4.addLegend()
# for i in range(8,12): # for i in range(8,12):
start = args.irange[0] -1; stop = args.irange[1] start = args.irange[0] - 1
stop = args.irange[1]
# print("WO: ", end='') # print("WO: ", end='')
for i in range(start, stop): for i in range(start, stop):
# mdsNode = tree.getNode(f"ATCAIOP1.ADC8INT") # mdsNode = tree.getNode(f"ATCAIOP1.ADC8INT")
@@ -108,15 +113,15 @@ for i in range(start, stop):
dataAdcInt = mdsNode.getData().data() dataAdcInt = mdsNode.getData().data()
timeData = mdsNode.getDimensionAt(0).data() timeData = mdsNode.getDimensionAt(0).data()
total_samples = DECIM_RATE * len(dataAdcInt[:, 0]) total_samples = DECIM_RATE * len(dataAdcInt[:, 0])
y = dataAdcInt[ :args.maxpoints, 0] / 2.0e6 # LSB * sec y = dataAdcInt[:args.maxpoints, 0] / 2.0e6 # LSB * sec
if (args.zero): if (args.zero):
y = y - dataAdcInt[0, 0] / 2.0e6 # LSB * sec y = y - dataAdcInt[0, 0] / 2.0e6 # LSB * sec
# wo = (dataAdcInt[-1, 0] - dataAdcInt[0, 0]) /total_samples # wo = (dataAdcInt[-1, 0] - dataAdcInt[0, 0]) /total_samples
# print(f"{wo:0.4f} ", end='') # print(f"{wo:0.4f} ", end='')
x = DECIM_RATE * np.arange(len(y)) / 2.0e6 # in sec x = DECIM_RATE * np.arange(len(y)) / 2.0e6 # in sec
p4.plot(x,y, pen=pg.mkPen(i, width=2), name=f"Ch {i+1}") p4.plot(x, y, pen=pg.mkPen(i, width=2), name=f"Ch {i+1}")
except: except Exception:
print(f"No data ATCAIOP1.ADC{i:d}INT") print(f"No data ATCAIOP1.ADC{i:d}INTD")
print(" ") print(" ")