80 lines
1.8 KiB
Python
80 lines
1.8 KiB
Python
import matplotlib.pyplot as plt
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import numpy as np
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import wafer
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import VisTools.plotting as vtp
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import VisTools.tex as vtt
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plt.style.use('bmh')
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plt.rcParams['axes.facecolor'] = 'white'
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plt.figure(figsize=(8, 4))
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def gen_reticle_empty():
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plt.clf()
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w = wafer.WaferRepr()
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_, ax = plt.subplots()
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w.placeim(ax, (0, 0))
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ax.axis('off')
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ax.set_aspect("equal")
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plt.savefig('wafer.pdf')
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def gen_48v_theory():
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xdata = np.linspace(43, 53, 100)
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ydata = xdata / 241 * 8 * 1.1
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plt.clf()
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plt.plot(ydata, xdata)
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plt.xlabel('V$_{pin}$ / V')
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plt.ylabel('V$_{48V in}$ / V')
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plt.savefig('v48.pdf')
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def gen_48i_theory():
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xdata = np.linspace(0, 2000/48, 100)
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ydata = xdata * 500e-6 * 8 * 1.1
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plt.clf()
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plt.plot(ydata, xdata)
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plt.xlabel('V$_{pin}$ / V')
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plt.ylabel('I$_{48V in}$ / A')
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plt.savefig('i48.pdf')
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def gen_1v8_theory():
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rpara = 75000
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rseri = 2*4700
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xdata = np.arange(0, 256, 4)
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ydata = (xdata / 256 * 10000)
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ydata = ydata * rpara / (ydata + rpara) + rseri
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ydata = 30100 / (ydata + 6490) * .7 + .7
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plt.clf()
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plt.plot(xdata, ydata, label="Equation after Datasheet")
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vps = vtp.fit(xdata, ydata, lambda x,m,p,a,c: a/(m*x-p)+c, [.1, -1, 1, 1.5])
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#plt.plot(xdata, vps[2].n / (vps[0].n * xdata - vps[1].n) + vps[3].n)
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vtt.unc_tolatex(vps[0], None, 'theo.tex', name="m")
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vtt.unc_tolatex(vps[1], None, 'theo.tex', name="p")
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vtt.unc_tolatex(vps[2], None, 'theo.tex', name="a")
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vtt.unc_tolatex(vps[3], None, 'theo.tex', name="c")
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plt.xlabel("Potentiometer Setting P$_{val}$")
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plt.ylabel("V$_{1.8V out}$")
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plt.savefig('v18.pdf')
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if __name__ == "__main__":
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gen_48v_theory()
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gen_48i_theory()
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gen_1v8_theory()
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gen_reticle_empty()
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