69 lines
1.4 KiB
Python
69 lines
1.4 KiB
Python
#! /usr/bin/python3
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import scipy.optimize as opt
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import numpy as np
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import pandas as pd
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import matplotlib.pyplot as plt
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import VisTools.plotting as vt
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plt.ioff()
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plt.style.use('bmh')
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fig, axarr = plt.subplots(2,1, sharex='col',figsize=(11.88, 8.4))
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data = pd.read_csv("./adccalib_48.csv")
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data['Dv'] = data['v_pit48/v'] - data['v_keith/v']
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print(data)
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axarr[0].errorbar(
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data['v_set/v'],
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data['v_pit48/v'],
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yerr=data['dv_pit48/v'],
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label="V$_{MONITOR\_48V}$",
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fmt='.'
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)
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axarr[0].errorbar(
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data['v_set/v'],
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data['v_ps/v'],
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yerr=data['dv_ps/v'],
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label="V$_{PS}$",
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fmt='.'
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)
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axarr[1].errorbar(
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data['v_set/v'],
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data['Dv'],
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yerr=data['dv_pit48/v'],
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label=" absolute Error of ADC",
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fmt='.'
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)
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# fit to abs dist
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linfnc = lambda x,m,c: x*m+c
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pfinal, pcov = opt.curve_fit(
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linfnc,
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data['v_set/v'],
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data['Dv'],
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p0=(.1,2.6),
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sigma=[.5 for e in range(data['Dv'].size)]
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)
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print( pfinal )
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axarr[1].plot(
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data['v_set/v'],
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data['v_keith/v']*pfinal[0]+pfinal[1]
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)
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vt.annotate_val(plt, pfinal[0], np.sqrt(pcov[0][0]), name="V48[2]", data_pos=(44, 3))
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plt.xlabel('V$_{set}$/V')
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axarr[0].set_ylabel('V$_{IN}$/V')
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axarr[0].set_title("PowerIt ADC Calibration: 48V Input")
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axarr[1].set_ylabel('$\Delta$V$_{IN}$ / V')
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axarr[0].legend()
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#-plt.savefig("2kw_direct.png")
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plt.tight_layout()
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plt.savefig("adccalib_48.eps", format='eps', dpi=1000)
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