Slab2 tuning

Some improvements around how pandas dataframes are filtered, since that happens a lot in this code. I also added additional timing statements to measure each "Section" of the code.

Performance varies, but I've seen up to 10s reduction (from 85s down to 75s) for the provided example command:

python slab2.py -p library/parameterfiles/calinput.par -c 12