Performance of the atlas track reconstruction algorithms in dense environments in lhc run 2
文献类型：期刊论文
| 作者 | Aaboud, M.198,199; Aad, G.129,130; Abbott, B.160; Abdallah, J.11; Abdinov, O.15; Abeloos, B.164; Abidi, S. H.230; AbouZeid, O. S.202; Abraham, N. L.219; Abramowicz, H.223 |
| 刊名 | European physical journal c
 |
| 出版日期 | 2017-10-11 |
| 卷号 | 77期号:10页码:30 |
| ISSN号 | 1434-6044 |
| DOI | 10.1140/epjc/s10052-017-5225-7 |
| 通讯作者 | Aaboud, m.() |
| 英文摘要 | With the increase in energy of the large hadron collider to a centre-of-mass energy of 13 tev for run 2, events with dense environments, such as in the cores of high-energy jets, became a focus for new physics searches as well as measurements of the standard model. these environments are characterized by charged-particle separations of the order of the tracking detectors sensor granularity. basic track quantities are compared between 3.2 fb(-1) of data collected by the atlas experiment and simulation of proton-proton collisions producing high-transverse-momentum jets at a centre-of-mass energy of 13 tev. the impact of charged-particle separations and multiplicities on the track reconstruction performance is discussed. the track reconstruction efficiency in the cores of jets with transverse momenta between 200 and 1600 gev is quantified using a novel, data-driven, method. the method uses the energy loss, de/dx, to identify pixel clusters originating from two charged particles. of the charged particles creating these clusters, themeasured fraction that fail to be reconstructed is 0.061 +/- 0.006 (stat.) +/- 0.014 (syst.) and 0.093 +/- 0.017 (stat.) +/- 0.021 (syst.) for jet transverse momenta of 200-400 gev and 1400-1600 gev, respectively. |
| WOS研究方向 | Physics |
| WOS类目 | Physics, Particles & Fields |
| 语种 | 英语 |
| 出版者 | SPRINGER |
| WOS记录号 | WOS:000429045200001 |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2178145 |
| 专题 | 高能物理研究所 |
| 通讯作者 | Aaboud, M. |
| 作者单位 | 1.Univ Adelaide, Dept Phys, Adelaide, SA, Australia 2.SUNY Albany, Dept Phys, Albany, NY 12222 USA 3.Univ Alberta, Dept Phys, Edmonton, AB, Canada 4.Ankara Univ, Dept Phys, Ankara, Turkey 5.Istanbul Aydin Univ, Istanbul, Turkey 6.TOBB Univ Econ & Technol, Div Phys, Ankara, Turkey 7.CNRS, IN2P3, LAPP, Annecy Le Vieux, France 8.Univ Savoie Mt Blanc, Annecy Le Vieux, France 9.Argonne Natl Lab, Div High Energy Phys, Argonne, IL 60439 USA 10.Univ Arizona, Dept Phys, Tucson, AZ 85721 USA |
| 推荐引用方式 GB/T 7714 | Aaboud, M.,Aad, G.,Abbott, B.,et al. Performance of the atlas track reconstruction algorithms in dense environments in lhc run 2[J]. European physical journal c,2017,77(10):30. |
| APA | Aaboud, M..,Aad, G..,Abbott, B..,Abdallah, J..,Abdinov, O..,...&Hamano, K..(2017).Performance of the atlas track reconstruction algorithms in dense environments in lhc run 2.European physical journal c,77(10),30. |
| MLA | Aaboud, M.,et al."Performance of the atlas track reconstruction algorithms in dense environments in lhc run 2".European physical journal c 77.10(2017):30. |
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来源：高能物理研究所
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