The
LHC Olympics --- Black Box "the Classic"
Warning as of 2/04/06:
In contrast to what this web page
originally said, we have learned from the creator of the data set that
1) this is not quite the same
model as was used in summer 2005;
2) the amount of data simulated is
actually 5.3 inverse fb, not 20.
We regret this unfortunate
situation and will decide what to do about it at the Winter 2006
Olympics next week.
This black box is created from the same
[actually, only similar] model
used in the summer 2005 LHC Olympics, but with about ten times as
much data: 20 [actually, only 5.3] inverse femtobarns, about two or three
years [actually, less than one] worth of LHC
running time. The model was created by the Michigan group and the
data simulated by Steve Mrenna.
- The
inclusive signatures
for the data are available in postscript
or pdf. General information on
inclusive signatures is HERE.
- The
raw data files can be accessed HERE;
you will be asked for your email address, simply to ensure that we can
inform you by email if there are amy important announcements or changes
to the data sets.
- The
data are broken up into thirteen files, named classic_bb.dat.#.gz where # runs
from 0 to 12. These can be concatenated by the user into a single
file. General
information on how to read
and use the data files is HERE.
- The
samples were created using a standard event generator, Pythia 6.324 for
showering/hadronization, and PGS as a detector simulation. See the general
blackbox page for additional information.
The old data file from the summer is HERE
--- BUT
it was created using a different version of PGS (for which a
top-quark-antiquark pair production calibration sample is HERE)
with no
triggering
implemented, so the old file and the
new file MUST NOT BE COMBINED.
Indeed, any analysis which was done on the summer blackbox must be
redone (though of course, if done correctly, it should reach the same
conclusion about the underlying model!) The old inclusive
signatures files for this data set are currently here (.ps,
.pdf
versions) and analysis that was done on this data set can be found at
the summer workshop website.