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_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.
using python sorted the S82 objects into two files:
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: