ex-1: move from pdfs-plot.py things about 1-notes.pdf and both.pdf to

this new program.

ex-1/slides-plot.py

@@ -0,0 +1,61 @@
+#!/usr/bin/env python
+
+from matplotlib import pyplot as plt
+import numpy as np
+import sys
+
+
+def moyal(x, μ, σ):
+    N = (1)/(np.sqrt(2 * np.pi) * σ)
+    return N * np.exp(- 0.5 * ((x - μ)/σ + np.exp( - (x - μ)/σ)))
+
+
+# plt.figure()
+plt.figure(figsize=(3.5, 2.5))
+plt.rcParams['font.size'] = 8
+
+# useful coordinates
+# y_min = -0.0086     # y min axes
+# y_max = 0.1895      # y max axes
+# me = -0.22          # mode
+# f_me = 0.1806       # f(mode)
+# h_f_me = f_me/2     # falf f(mode)
+# x_m = -1.5867       # x₋
+# x_p = 2.4330        # x₊
+
+# prepare plot
+x, y = np.loadtxt(sys.stdin, unpack=True)
+# plt.title('Landau distribution', loc='right')
+# plt.xlim(-10, 10)
+# plt.ylim(y_min, y_max)
+
+# draw the lines
+# plt.plot([-10, me],  [f_me, f_me],     color='gray')
+# plt.plot([me, me],  [f_me, y_min],     color='gray')
+# plt.plot([-10, x_p], [h_f_me, h_f_me], color='gray')
+# plt.plot([x_m, x_m], [y_min, h_f_me],  color='gray')
+# plt.plot([x_p, x_p], [y_min, h_f_me],  color='gray')
+
+# draw the function
+plt.plot(x, y, color='#92182b')
+
+# draw the notes
+# s = 0.012
+# S = 0.2
+# plt.annotate('$f(m_e)$',   [-10 + S, f_me - s])
+# plt.annotate('$f(m_e)/2$', [-10 + S, h_f_me - s])
+# plt.annotate('$x_-$',      [x_m + S, y_min + s/2])
+# plt.annotate('$x_+$',      [x_p + S, y_min + s/2])
+# plt.annotate('$m_e$',      [me + S, y_min + s/2])
+
+# do Moyal plot
+μ = -0.22278298
+σ = 1.1191486
+x = np.arange(-10,30, 0.01)
+plt.plot(x, moyal(x, μ, σ), color='gray')
+
+# save figure
+plt.tight_layout()
+plt.show()
+# plt.savefig('notes/images/1-notes.pdf')
+# plt.savefig('slides/images/both-pdf.pdf', transparent=True)