ARPES tools: norm_by_noise reimplemented to smooth intensity after normalization
ARPES tools: bugfixes for normalization and deg2k routines
changes to the FS-map plotscript (adding support for overlaid FS map, not yet finished)
FS-map plotscript advances...
smoothing issues fixed with ARPES: norm_by_noise
ARPES norm_by_noise: added gaussian smoothing of intensity map (works good with noisy data! :-)
syncing from laptop
paul.base.wave: regrid() function added, for smooth interpolation/re-gridding of Wave data
fixes in wave.regrid(), and starting work on arpes.align2d()

wave.regrid: Using broadcasting rules for index generation
(requires a lot less memory). Also, changed working principle
from slice()-oriented to coordinate-list oriented. This makes
it easier later to re-implement wave axis indexing using regrid(),
having available a fancier interpolation :-)

arpes.align2d: Function to align two images to one another such
that their features fit best, by shifting them in x/y direction
against another. Brute force method (shift in the parameter space
and find the least-squares sum), needed in ARPES to align 2D
scans to their Fermi levels if photon energy is not known precisely
enough (as is the case in high-resolution synchrotron scans, for
example, when making kz-dependent Fermi Surface maps).
added arpes.fermi_guess_pos and arpes.align2d.

arpes.fermi_guess_pos: guesses the position of the Fermi edge by
walking the data until the current data point is too large to
qualify as "background"

arpes.align2d: (see previous commits) finished. works like a charm :-)