Add to ORKGThis note describes the performance of the calorimeter clustering algorithms used for ATLAS, and which provide inputs for particle identification. ATLAS uses two principal algorithms. The first is the ``sliding-window'' algorithm, which clusters calorimeter cells within fixed-size rectangles; results from this are used for electron, photon, and tau lepton identification. The second is the ``topological'' algorithm, which clusters together neighboring cells, as long as the signal in the cells is significant compared to noise. The results of this second algorithm are further used for jet and missing transverse energy reconstruction. This note first summarizes the steps of the calorimeter reconstruction software. A detailed description of the ...
The calibration of electromagnetic clusters is one of the key issues of ATLAS (and the LHC) in 2007....
The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at...
The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at...
This note describes the performance of the calorimeter clustering algorithms used for ATLAS, and whi...
The calibration of electromagnetic clusters is one of the key issues of ATLAS (and the LHC) in 2007....
The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at...
The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at...
This note describes the performance of the calorimeter clustering algorithms used for ATLAS, and whi...
The calibration of electromagnetic clusters is one of the key issues of ATLAS (and the LHC) in 2007....
The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at...
The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at...