diff --git a/misc/pdfs-plot.py b/misc/pdfs-plot.py
deleted file mode 100755
index bb70e3f..0000000
--- a/misc/pdfs-plot.py
+++ /dev/null
@@ -1,15 +0,0 @@
-#!/usr/bin/env python
-
-import matplotlib.pyplot as plt
-import numpy as np
-import sys
-
-lows, upps, values = np.loadtxt(sys.stdin, unpack=True,)
-dim = upps[1] - lows[1]
-values = values/np.sum((values)*dim)
-plt.bar(lows, align='edge', width=dim, height=values,
-        color='#dbbf0d', edgecolor='#595856')
-plt.annotate("N = 100000\nbins=100", (15, 0.16))
-plt.ylabel("pdf(x)")
-plt.xlabel("x")
-plt.show()
diff --git a/misc/pdfs.c b/misc/pdfs.c
deleted file mode 100644
index 9bbbe60..0000000
--- a/misc/pdfs.c
+++ /dev/null
@@ -1,58 +0,0 @@
-// This program generates a collection of random numbers which follow the
-// distribution whose name is given in input by the user when calling the
-// program and outputs an histogram of the result. Maximum and minimum of
-// the range must also be given. The random number distribution functions
-// are taken from the GSL library at:
-// https://www.gnu.org/software/gsl/doc/html/randist.html
-
-#include <stdio.h>
-#include <string.h>
-#include <gsl/gsl_randist.h>
-#include <gsl/gsl_rng.h>
-#include <gsl/gsl_histogram.h>
-
-int main (int argc, char** argv)
-  {
-  // An histogram with 100 bins which range from 0 to 100 is set:
-  size_t bins = 100;
-  int low = atoi(argv[2]);
-  int upp = atoi(argv[3]);
-  gsl_histogram * histo = gsl_histogram_alloc(bins);
-  gsl_histogram_set_ranges_uniform(histo, low, upp);
-
-  // The random number generator is set:
-  gsl_rng* gen = gsl_rng_alloc(gsl_rng_taus);
-  // 100'000 random numbers are generated and put into the histogram:
-  size_t N = 100000;
-  for (size_t i = 0; i < N; i++)
-    {
-    if (strcmp(argv[1], "binomial") == 0)
-      gsl_histogram_increment(histo, gsl_ran_binomial(gen, 0.3, 10));
-    if (strcmp(argv[1], "poisson") == 0)
-      gsl_histogram_increment(histo, gsl_ran_poisson(gen, 1));
-    if (strcmp(argv[1], "uniform") == 0)
-      gsl_histogram_increment(histo, gsl_rng_get(gen)*100);
-    if (strcmp(argv[1], "gaussian") == 0)
-      gsl_histogram_increment(histo, gsl_ran_gaussian(gen, 5)+30);
-    if (strcmp(argv[1], "wigner") == 0)
-      gsl_histogram_increment(histo, gsl_ran_cauchy(gen, 10)+20);
-    if (strcmp(argv[1], "landau") == 0)
-      gsl_histogram_increment(histo, gsl_ran_landau(gen));
-    if (strcmp(argv[1], "chi2") == 0)
-      gsl_histogram_increment(histo, gsl_ran_gamma(gen, 5, 2));
-    if (strcmp(argv[1], "exponential") == 0)
-      gsl_histogram_increment(histo, gsl_ran_exponential(gen, 5));
-    if (strcmp(argv[1], "student") == 0)
-      gsl_histogram_increment(histo, gsl_ran_tdist(gen, 3));
-    if (strcmp(argv[1], "fischer") == 0)
-      gsl_histogram_increment(histo, gsl_ran_fdist(gen, 3, 4));
-    }
-  // The histogram is given in output:
-  gsl_histogram_fprintf (stdout, histo, "%g", "%g");
-
-  // The memory is freed.
-  gsl_rng_free(gen);
-  gsl_histogram_free(histo);
-
-  return 0;
-  }