Squashed commit of the following:

commit 1196ce64fa2d647ee6b2918719f4237052bbbe3a
Author: nick <n.c.k.wardle@googlemail.com>
Date:   Thu Dec 12 12:01:41 2013 +0100

    Bias study for Envelope with MVA legacy
    1) Many fixes for intellegent scanning of mu-values
    2) Binning set to appropriate level for using binned signal model
    3) Adding options in check_bias_jobs to resubmit failed/running jobs
    4) Adding parameters to fit plots and labels to envelope nll curve plots

commit b17b977f8619f84bba7474e5429cef9cae242009
Merge: fe2a00c 210336a
Author: nick <n.c.k.wardle@googlemail.com>
Date:   Thu Dec 5 10:46:07 2013 +0100

    Merge branch 'nckw-fixes-for-bias-studies-in-low-stats' of github.com:nucleosynthesis/h2gglobe

commit 210336a9b29d5845fe3ca40184031fa7984c9f4a
Author: nick <n.c.k.wardle@googlemail.com>
Date:   Thu Dec 5 03:02:47 2013 +0100

    Use pull definition (with nlls) only for tails. core will be
    inaccurate so use actual error there
    (Fixme--could yied more toys if caluclate pull 1st way if profile isnt large enough?)

commit fe2a00c1306ed131a8053be0561b1227f97137eb
Merge: 318d101 1bd06a4
Author: nick <n.c.k.wardle@googlemail.com>
Date:   Wed Dec 4 23:45:36 2013 +0100

    Merge branch 'master' of https://github.com/h2gglobe/h2gglobe

commit 318d10143330e1c015e7974885a61290c87e27fc
Author: nick <n.c.k.wardle@googlemail.com>
Date:   Wed Dec 4 23:32:54 2013 +0100

    Failures causing problems

commit 1cce5fde14eaba29e5abac5d33c2b91867027e95
Author: nick <n.c.k.wardle@googlemail.com>
Date:   Wed Dec 4 20:58:04 2013 +0100

    Fix for lots of abortions in low stats categories

commit 4bc594cf331dd9a6f03b083fe44b823981f0837f
Author: nick <n.c.k.wardle@googlemail.com>
Date:   Wed Dec 4 16:57:09 2013 +0100

    Additional fixes, mostly for plotting of bias studies in envelope method
Adding config files for legacy MVA studies
Additional lines being written (meaning additiona jobs being sent) where they didn't need to be in merging of jobs
Merge pull request #340 from nucleosynthesis/nckw-envelope-bias-studies

Fixes to intelligent range of signal parameter for finding best fit