cosmetic changes in print output
a few changes in --max-likelihood and in --goodness-of-fit
lxb-limit.py now also does its calculations in a dedicated tmp directory. This is transparent to before on normal use, but it allows lxb-limit.py to be called several times on the same inputs. The latter makes sense when running toys on expected (used for goodness-of-fit and in principle also for significance [bayesian type]) with varying random seeds.
small changes for the script to be more comfortable -- also added a bunch of more prinouts that have been used for tersting to really understand that the tool is doing what it is supposed to do. On unpleasant aspect for large scale submissions still remains, which is intrinsic to the method. If the toys fail for any of the mass points the toys is lost for all other mass points, as the global minimum as function of the mass cannot be determined...
adding cycles to goodness-of-fit -- this even more calls for a refarctorization of the options of the tools, as cycles are abused here, as an option, which is actually used for full CLs limits. For goodness-of-fit it allows to run e.g. 10toys for expected goodness-of-fit in 100 cycles, which at the end will add up to 1000 toys.
the determination of the global minimum as function of mass has to be brought back here for observed. For expected this has been done already by massDeltaNLL.py, when collecting the toys. For observed this is not the case.
Merge pull request #68 from roger-wolf/master

More tests (not 100% final yet) of massNLL and first fully operationg version for GoodneddOfFit
Merge pull request #69 from rcl11/master

Merging in updates to tail fit code
adding intputs of directory out, if existing for option --max-likelihood
adding comment lines for better overview
for option --max-likelihood collection of toys does not need any workspace, on the other hand when collection toys the fit does not have to be performed any more (adapted correspondingly in submit.py)
moved hadd of indiviaual toys for option --max-likelihood to interactove part, the max-likelihood on data is then sent to batch as normal fit without option collect-injected-toys.
added option -r for definite kill
Merge pull request #70 from roger-wolf/master

Mass Estimate
plotting of the relative difference between limits - used for bbb study but i think its useful
Merge remote-tracking branch 'upstream/master'
Merge pull request #71 from ffrensch/master

relative difference between limits - used for bbb study, but i guess still useful to have
distinguish the x-axis label between mssm-xsec and mssem-tanb
Merge remote-tracking branch 'upstream/master'
Merge pull request #72 from ffrensch/master

distinguish the x-axis label between mssm-xsec and mssem-tanb