Tron has a good soundtrack

picked up TA allocations.  Should be a good year.

GOAL: list of BALs and non-BALs in S82 list.  Split up using the BAL lists generated

pbh_allenANDdr7qNOTgibsonBAL.dr7qzHW (789) and
pbh_gibsontab1.dr7qzHW (5037)
pbh_allenANDdr7qNOTgibsonBAL.dr7qzHW (789) has DR7 tag in first column.  GOOD.
pbh_gibsontab1.dr7qzHW (5037) had DR7 tag in first column. GOOD.
So all I need to do is take the list dr5DB_QSO_S82.plus3 list, which matches the S82 ID to the DR7 tag, and run it through a filter.  It would also be convient to bring along the *.dr7qzHW list, and sort it as well.
success:
using python sorted the S82 objects into two files:
s82BAL.dat (600)
s82notBAL.dat (8655)
total lines (600+8655) = 9255 (as we knew before).  This puts the BAL percentage at ~7%, which makes sense considering the conservative approach to classifying BALs in Allen (which represents the bulk of the BALs I tested against).
There are also accompanying *.dr7qzHW files corresponding to those.  Note that these lists are based on if the object is in EITHER gibson OR allenNOTgibson. (not both)
Next step: sort into redshift bins.
bin numbers for BALS:
5      not in u     0.000<z<0.92   not available.
21    only in u    0.92 < z < 1.51   (u-g, or u-r)
100  in u and g  1.51 < z < 1.73   (u-g AND g-r)
333  only in g    1.73 < z < 2.51   (g-r, or g-i)      *****largest bin – which makes sense
46    in g and r   2.51 < z < 2.82   (g-r AND r-i)
61    only in r    2.82 < z < 3.40    (r-i, or r-z)
21   in r and i   3.40 < z < 3.79    (r-i AND i-z)
13   only in i    3.79 < z < 4.35    (i-z, or r-i?) ***could I use r-i? 
0     in i and z   4.35 < z < 4.82    (i-z AND r-i)?
0     only in z    z > 4.82               (i-z)
bin numbers for nonBALs to follow:
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