Pass 5 and Prior Implementations (ST v9r4p2 and earlier)
There was a separate event class designation for each section of the LAT where the event converted, e.g., DC1::FRONT, DC1::BACK were two distinct classes for otherwise identical event selections. These were given values of 0 and 1, respectively, in the EVENT_CLASS column of FT1. The CONVERSION_TYPE column was set to have the same values, indicating a front (thin) or back (thick) section conversion.
For DC2, there were two distinct sets of cuts that divided the events into two classes, A and B. This resulted in 4 possible values for the EVENT_CLASS column, and two values for CONVERSION_TYPE:
event class name
EVENT_CLASS
CONVERSION_TYPE
DC2::FrontA
0
0
DC2::BackA
1
1
DC2::FrontB
2
0
DC2::BackB
3
1
Besides still containing redundant information, this required special code in gtselect and the Likelihood tools to handle.
For Pass 5, Bill defined a new classification tree variable,
CTBClassLevel, and proposed three different cuts corresponding to
what he envisaged as the appropiate kind of science analysis:
CTBClassLevel cut
science analysis designation
> 0
"transient"
> 1
"source"
> 2
"diffuse"
The mechanism used for DC2 was unwieldy, and so it was not modified
to handle these new classes. A temporary ad hoc procedure was
adopted in which a CTBCLASSLEVEL column was added to the FT1 files
(outside of the FFD definition), and fcopy or some other tool
besides gtselect was used to make the CTBCLASSLEVEL cuts. The
EVENT_CLASS and CONVERSION_TYPE columnss simply indicated front (0)
vs back (1), and three separate sets of IRFs were generated for each
of the cuts. The principal disadvantage of this scheme is that
gtdiffrsp needs to be run separately for each CTBCLASSLEVEL cut, and
there was no DSS keyword handling implemented to account for which
cut was applied for any given dataset.