diff --git a/tests/testRandom.c b/tests/testRandom.c
index 2be7cf5fb202732278be3719a265eb52be6c6a03..55b26430f6ade103538d32f92e4805abdd8f0d4e 100644
--- a/tests/testRandom.c
+++ b/tests/testRandom.c
@@ -55,6 +55,24 @@ double pearsonfunc(double mean1, double mean2, double total12, double var1, doub
return fabs(correlation);
}
+/**
+ * @brief Test to check that the pseodo-random numbers in SWIFT are random
+ * enough for our purpose.
+ *
+ * The test initializes with the current time and than creates 20 ID numbers
+ * it runs the test using these 20 ID numbers. Using these 20 ID numbers it
+ * Checks 4 different things:
+ * 1. The mean and variance are correct for random numbers generated by this
+ * ID number.
+ * 2. The random numbers from this ID number do not cause correlation in time.
+ * 3. A small offset in ID number of 2, doesn't cause correlation between
+ * the two sets of random numbers and the mean and variance of this set is
+ * also correct.
+ * 4. Different physical processes in random.h are also uncorrelated and
+ * produce the correct mean and variance as expected.
+ *
+ * @param none
+ */
int main(int argc, char* argv[]) {
/* Initialize CPU frequency, this also starts time. */
@@ -205,7 +223,7 @@ int main(int argc, char* argv[]) {
* distribution */
const double tolmean = 2e-4;
const double tolvar = 1e-3;
- const double tolcorr = 3e-4;
+ const double tolcorr = 4e-4;
if ((fabs(mean - 0.5) / 0.5 > tolmean) ||
(fabs(var - 1. / 12.) / (1. / 12.) > tolvar) ||