Create input fit

[nilsnevertree]

Within this pull request major changes in the preprocessing of the particle-size-distribution and the mass-size-distribution are implemented. The preprocessing will then give a PSD and MSD normalized by the bin width, as originally given in the cloud composite dataset.

closes #107 closes #111 closes #110

[nilsnevertree]

The fit constraining the LWC closest to the observations is:

• Fit to the MSD
• Use coarsened bins for above 95µm
• Due to evenly distributed mass over both LnNormal, the weight is kept unform of the measurements.
• Very important to confine the slope of the regression line (observations, fit): Limit the upper radii size of to the largest measured droplets. BEST is to have it $max(r{fit}) = 1.5 \cdot max(r{obs})$

With this setup, the results seem to be very good an well in line with the variance of each cloud