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Jet reconstruction and performance using particle flow with the ATLAS Detector
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ATLAS Collaboration (Including: Beckingham, M., Ennis, Joseph Stanford, Farrington, Sinead, Harrison, P. F., Jelinskas, Adomas, Jeske, C., Martin, T. A., Murray, W., Pianori, E. and Spangenberg, Martin). (2017) Jet reconstruction and performance using particle flow with the ATLAS Detector. European Physical Journal C, 77 (7). 466. doi:10.1140/epjc/s10052-017-5031-2 ISSN 1434-6044.
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Official URL: https://doi.org/10.1140/epjc/s10052-017-5031-2
Abstract
This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb[Formula: see text] of ATLAS data from 8 TeV proton-proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, instead using measurements of their momenta from the inner tracker. This improves the accuracy of the charged-hadron measurement, while retaining the calorimeter measurements of neutral-particle energies. The paper places emphasis on how this is achieved, while minimising double-counting of charged-hadron signals between the inner tracker and calorimeter. The performance of particle flow jets, formed from the ensemble of signals from the calorimeter and the inner tracker, is compared to that of jets reconstructed from calorimeter energy deposits alone, demonstrating improvements in resolution and pile-up stability.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Physics | ||||||
| SWORD Depositor: | Library Publications Router | ||||||
| Journal or Publication Title: | European Physical Journal C | ||||||
| Publisher: | Springer | ||||||
| ISSN: | 1434-6044 | ||||||
| Official Date: | 13 July 2017 | ||||||
| Dates: |
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| Volume: | 77 | ||||||
| Number: | 7 | ||||||
| Article Number: | 466 | ||||||
| DOI: | 10.1140/epjc/s10052-017-5031-2 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Reuse Statement (publisher, data, author rights): | ** From Europe PMC via Jisc Publications Router. ** Licence for this article: cc by | ||||||
| Access rights to Published version: | Open Access (Creative Commons) |
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