Step 2 of 7:
Define molecules (optional)
Endeavour supports the usage of molecules with flexible torsion angles as well as rigid-body fragments if they do not lie on special positions of the spacegroup.

Step 3 of 7:
Define atoms in unit cell
Enter the unit cell contents, i.e. the formula sum and the number of formula units per unit cell for single atoms, i.e. atoms which do not belong to molecules.

Step 4 of 7:
Define the diffraction data
The next wizard page is dedicated to the input of the diffraction data. You can open the prepared file containing the diffraction data as a list of 2 theta- and corresponding intensity values, or, as in this case, a list of |F|(hkl) data.

Step 5 of 7:
Define settings for potential
This page is dedicated to the input of data needed for the calculation of the potential energy. There are three possible funtions that may be used, two of them - the 'simple repulsion potential' and the 'Lennard-Jones potential' - need empirical parameters. The "Hofmann potential", introduced in version 1.3, enabling much easier solution of crystal structures of rigid molecules and even capable of predicting the crystal structures of rigid molecules without using any powder diffraction data, does not contain any parameters which have to be adjusted by the user, so that its usage is extremely simple. Concerning the other two potentials, Endeavour has been designed carefully to especially make the generation of potential parameters as simple as possible.

Step 6 of 7:
Define optimization settings
This page offers some options concerning the optimization. For instance, the so-called 'cost function balance' may be adjusted, i.e. the contribution of either of the two parts of the cost function to the overall value. Thus, weak diffraction data may to a certain degree be balanced by a high quality potential and vice versa.
Besides this, the speed of the calculation is controlled by the slider 'optimization speed' that could take any integer value from 1 to 10. A value of 10 means highest optimization speed, however, because of the underlying simulated annealing optimization method, also lowest success probability.