For pyGlobOpt calculations involving the distribution of atoms within a sphere the size of the sphere needs to be determined. For this setting we need to balance generating sensible structures within a reasonable number of iterations against artificially reducing the PES such that low-energy structures can no longer be found. A larger sphere radii allows for more flexibility in where atoms can originate before local optimisation but can greatly increase computation time at both global and local optimisation levels. A smaller sphere radii can greatly reduce this computation time but can lead to restrictions that may cause structures to miss low energy configurations.