Controlunit

Read and plot

Use Raspi to read ADC and TC datafiles.

%run ../aklab/controlunit.py
raspi = Raspi(bpath='../data',timestamp='20210219_124135')
raspi.plot()

Signal conversion

ADC convertion in convert_signals()

    # 11.46 convert Pfeiffer signal to pressure
    self.pu = 10 ** (1.667 * self.adc["P2"] - 11.46)
    # convert linear IG signal to pressure
    self.pd = self.adc["P1"] * 10 ** self.adc["IGscale"]
    # plasma current from hall sensor
    def iconv(v):
        return 5 / 1 * (v - 2.52)

    self.ip = iconv(self.adc["Ip"])
    self.t = self.adc["date"]

Data format

Raspi contains two separate pandas.DataFrame with ADC and TC data.

fmt = {"date": lambda t: t.strftime("%y%m%d %H:%M:%S"),'pd':'{:.1e}','pu':'{:.1e}'}
raspi.df_adc.head().style.format(fmt, precision=1)

	date	ip	pd	pu	time	P1	P2	Ip	IGmode	IGscale	QMS_signal
0	210219 12:41:35	-0.4	3.4e-07	4.7e-07	0.2	0.3	3.1	2.4	0.0	-6.0	0.0
1	210219 12:41:35	-0.4	3.4e-07	4.7e-07	0.3	0.3	3.1	2.4	0.0	-6.0	0.0
2	210219 12:41:35	-0.4	3.4e-07	4.7e-07	0.4	0.3	3.1	2.4	0.0	-6.0	0.0
3	210219 12:41:35	-0.4	3.4e-07	4.7e-07	0.5	0.3	3.1	2.4	0.0	-6.0	0.0
4	210219 12:41:35	-0.4	3.4e-07	4.7e-07	0.6	0.3	3.1	2.4	0.0	-6.0	0.0

raspi.df_tc.head().style.format(fmt,precision=1)

	date	time	T	PresetT
0	210219 12:41:35	0.3	27.5	0.0
1	210219 12:41:35	0.5	27.5	0.0
2	210219 12:41:35	0.8	27.8	0.0
3	210219 12:41:36	1.1	27.8	0.0
4	210219 12:41:36	1.3	27.8	0.0