### Regression test of kinetic energy distribution check using numpy arrays
### System: Water900
## Creating result object

## Validating kinetic energy distribution (strict)
After equilibration, decorrelation and tail pruning, 98.50% (986 frames) of original Kinetic energy remain.
Kinetic energy distribution check (strict)
Kolmogorov-Smirnov test result: p = 0.228594
Null hypothesis: Kinetic energy is Maxwell-Boltzmann distributed

## Validating kinetic energy distribution (non-strict)
After equilibration, decorrelation and tail pruning, 98.50% (986 frames) of original Kinetic energy remain.
Kinetic energy distribution check (non-strict)
Analytical distribution (T=298.15 K):
 * mu: 6689.47 kJ/mol
 * sigma: 128.77 kJ/mol
Trajectory:
 * mu: 6687.62 +- 4.01 kJ/mol
   T(mu) = 298.07 +- 0.18 K
 * sigma: 128.42 +- 2.86 kJ/mol
   T(sigma) = 297.33 +- 6.62 K
