ex-1: add the possibility to plot the gala and gamo plots

- gala plot: plot Gaussian + Landau PDFs
- gamo plot: plot Gaussian + Moyal PDFs

Also add the images to the folder.

ex-1/plots/misc.py

@@ -12,17 +12,25 @@ import sys
 # -n  → agrs.note   → do the Landau plot with the notes
 # -b  → args.both   → do the Landau-Moyal plot
 # -m  → args.area   → do the Landau median plot
+# -gm → args.gamo   → do the Gaussian-Moyal compare plot
+# -gl → args.gala   → do the Gaussian-Landau compare plot
 # -c  → args.cauchy → do the Cauchy PDF plot
 
 
+# Moyal PDF
 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)))
 
-
+# Cauchy PDF
 def cauchy(x):
     return 1/(np.pi*(1 + x**2))
 
+# Gauss PDF
+def gauss(x, μ, σ):
+    N = (1)/(np.sqrt(2 * np.pi) * σ)
+    return N * np.exp(- 0.5 * ((x - μ)/σ)**2)
+
 
 def main(args):
     # prepare figure
@@ -30,12 +38,12 @@ def main(args):
         plt.figure()
     elif args.save:
         plt.rcParams['font.size'] = 8
-        if (args.both or args.area):
+        if (args.both or args.area or args.cauchy):
             plt.figure(figsize=(3, 2))
+        elif (args.gamo or args.gala):
+            plt.figure(figsize=(2.5, 2))
         elif args.note:
             plt.figure(figsize=(5, 3))
-        elif args.cauchy:
-            plt.figure(figsize=(3, 2))
 
     if args.note:
         # useful coordinates
@@ -68,10 +76,11 @@ def main(args):
         plt.xlim(-10, 10)
         plt.ylim(y_min, y_max)
 
-    if args.both:
+    if (args.both):
         plt.ylim(-0.015, 0.265)
 
     # draw Landau plot
+    if not args.gamo:
         x, y = np.loadtxt(sys.stdin, unpack=True)
         plt.plot(x, y, color='#92182b', label='Landau')
 
@@ -82,20 +91,31 @@ def main(args):
         plt.fill_between(x[:x0], y[:x0], color='#ff99a8')
         plt.fill_between(x[x0:], y[x0:], color='#b28e94')
 
-    # do Moyal plot
-    if args.both:
-        μ = -0.22278298
-        σ = 1.1191486
-        x = np.arange(-10, 30, 0.01)
-        plt.plot(x, moyal(x, μ, σ), color='gray', label='Moyal')
-        plt.legend()
-
     # do Cauchy plot
     if args.cauchy:
         x = np.arange(-10, 10, 0.01)
         plt.plot(x, cauchy(x), color='gray', label='Cauchy')
         plt.legend()
 
+    μ = -0.22278298
+    σ = 1.1191486
+
+    # do Moyal plot
+    if (args.both or args.gamo):
+        x = np.arange(-10, 10, 0.01)
+        plt.plot(x, moyal(x, μ, σ), color='gray', label='Moyal')
+        plt.legend()
+
+    # do Gaussian plot
+    if (args.gamo or args.gala):
+        x = np.arange(-10, 10, 0.01)
+        if args.gala:
+            a = 1.97
+        if args.gamo:
+            a = 1.65
+        plt.plot(x, gauss(x, μ, a*σ), color='#cfb017', label='Gauss')
+        plt.legend()
+
     # save figure
     plt.tight_layout()
     if args.show:
@@ -109,6 +129,10 @@ def main(args):
             plt.savefig('slides/images/median.pdf', transparent=True)
         if args.cauchy:
             plt.savefig('slides/images/cauchy-pdf.pdf', transparent=True)
+        if args.gamo:
+            plt.savefig('slides/images/gamo-pdf.pdf')
+        if args.gala:
+            plt.savefig('slides/images/gala-pdf.pdf')
 
 
 if __name__ == '__main__':
@@ -132,5 +156,11 @@ if __name__ == '__main__':
     parser.add_argument('-c', '--cauchy',
                         action='store_true', default=False,
                         help='do the cauchy plot')
+    parser.add_argument('-gl', '--gala',
+                        action='store_true', default=False,
+                        help='do the gaussian-landau plot')
+    parser.add_argument('-gm', '--gamo',
+                        action='store_true', default=False,
+                        help='do the gaussian-moyal plot')
     args = parser.parse_args()
     main(args)