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[Rivet] D0_1996_S3324664Frank Siegert frank.siegert at durham.ac.ukThu Jan 22 15:54:26 GMT 2009
This is another interesting analysis, which I would like to implement: http://hepdata.cedar.ac.uk/hepdata/hepreac/3324664 http://durpdg.dur.ac.uk/cgi-bin/spiface/hep/www?irn+3324664 Has anybody used a jet finder similar to the described one yet, or have any hint on how complicated it will be to implement this? "Jet reconstruction was performed using an iterative fixed cone algorithm. First, the list of calorimeter towers with ET > 1 GeV (seed towers) was sorted in descending order. Starting with the highest ET seed tower, a preclus- ter was formed from all calorimeter towers with R < 0.3, where R = sqrt(∆η² + ∆φ²) was the distance between tower centers. If a seed tower was included in a precluster, it was removed from the list. This joining was repeated un- til all seed towers become elements of a precluster. After calculating the ET weighted center of the precluster, the radius of inclusion was increased to 0.7 about this cen- ter with all towers in this cone becoming part of the jet. A new jet center was calculated using the ET weighted tower centers. This process was repeated until the jet axis moved less than 0.001 in η–φ space between itera- tions. The final jet ET was defined as the scalar sum of the ET of the towers; its direction was defined using the DØ jet algorithm (10), which differs from the Snowmass algorithm (11). If any two jets shared more than half of the ET of the smaller ET jet, the jets were merged and the jet center recalculated. Otherwise, any ambiguities in the overlap region were resolved by assigning the en- ergy of a given cell in the shared region to the nearest jet."
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