New particle flow algorithm improves ATLAS experiment precision

New particle flow algorithm improves ATLAS experiment precision
Figure 1: In the presence of pile-up, fake jets can arise from particles not produced in the hard-scatter interaction. The figure shows the number of fake jets for calorimeter jets (LC) and particle flow jets in simulated events with two jets and on average 24 unwanted collisions. Credit: ATLAS Collaboration/CERN

Proton collisions in the Large Hadron Collider often result in the production of "jets" of particles. These jets are a key element in the measurement of many processes, such as the decays of Higgs bosons or other exotic particles. A jet is a stream of particles produced when a quark or gluon is one of the outgoing particles of the decay.

Adding tracks to jets

Up to now, the ATLAS Experiment has measured the energies and positions of jets using the finely segmented calorimeter system, in which both electrically charged and neutral interact. However, the inner detector tracking system provides more precise measurements of charged particle energies and positions.

A recent ATLAS paper describes a particle flow algorithm that extrapolates the charged tracks seen by the inner detector to the calorimeter regions. The algorithm then adjusts the calorimeter energy measurement to exclude these energy deposits, ideally leaving only a calorimeter measurement of the electrically neutral particles. Sorting out how much energy was deposited by the charged particles is one of the most complicated aspects of the algorithm.

Getting at the truth

In order to test how well the algorithm performs, we use so-called "truth" information. This tells us how much energy a simulated particle deposits in our calorimeters during a simulated collision. We can compare that with the energy our algorithm removes from the calorimeter for that charged particle, and adjust the algorithm to get as close to the "truth" as possible.

New particle flow algorithm improves ATLAS experiment precision
Figure 2: The azimuthal angular resolution for calorimeter jets (LC) and particle flow jets as a function of the jet transverse momentum, pT, determined in simulation of events with two jets and on average 24 unwanted collisions. Credit: ATLAS Collaboration/CERN

Spurious interactions

With increased luminosity, more and more unwanted particle collisions take place (known as "pile-up"), distorting the interaction we are interested in measuring. For example, in the data collected last year, a typical collision being studied might be part of an event with 30 other collisions we are not interested in. The interesting collision is characterised by having high momentum particles coming out of it, whilst the other 30 would typically contain low momentum particles.

The ATLAS inner detector can cluster charged tracks into groups known as vertices using the precise measurement of the distance of closest approach to the point. This information can be used to remove many of the charged particles originating from pile-up. The jet energy measurement is then made up of a combination of measurements in the inner detector and , with a correction for the electrically neutral pile-up.

The performance of the algorithm is described in the new ATLAS paper. It shows improved precision for measurements of the and angular position of jets with transverse momenta below around 70 GeV. Furthermore, it demonstrates a reduction in the number of jets originating from pile-up interactions. While the latter is already important, it becomes even more essential as the luminosity of the LHC increases. Comparing simulation with data collected in 2012 has demonstrated that the describes real interactions quite accurately in the experiment.

Explore further

Tracking particles at the energy frontier

More information: Jet reconstruction and performance using particle flow with the ATLAS Detector (arXiv: 1703.10485):
Provided by ATLAS Experiment
Citation: New particle flow algorithm improves ATLAS experiment precision (2017, May 3) retrieved 22 October 2019 from
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