| 000 | 03253nlm2a2200445 4500 | ||
|---|---|---|---|
| 001 | 664742 | ||
| 005 | 20231030041940.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\35926 | ||
| 090 | _a664742 | ||
| 100 | _a20210517d2020 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 102 | _aGB | ||
| 135 | _avrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aPerformance of the CMS Level-1 trigger in proton-proton collisions at √s = 13 TeV _fA. M. Sirunyan, A. R. Tumasyan, W. Adam [et al.] |
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| 203 |
_aText _celectronic |
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| 300 | _aTitle screen | ||
| 320 | _a[References: 29 tit.] | ||
| 330 | _aAt the start of Run 2 in 2015, the LHC delivered proton-proton collisions at a center-of-mass energy of 13\TeV. During Run 2 (years 2015-2018) the LHC eventually reached a luminosity of 2.1× 1034 cm-2s-1, almost three times that reached during Run 1 (2009-2013) and a factor of two larger than the LHC design value, leading to events with up to a mean of about 50 simultaneous inelastic proton-proton collisions per bunch crossing (pileup). The CMS Level-1 trigger was upgraded prior to 2016 to improve the selection of physics events in the challenging conditions posed by the second run of the LHC. This paper describes the performance of the CMS Level-1 trigger upgrade during the data taking period of 2016-2018. The upgraded trigger implements pattern recognition and boosted decision tree regression techniques for muon reconstruction, includes pileup subtraction for jets and energy sums, and incorporates pileup-dependent isolation requirements for electrons and tau leptons. In addition, the new trigger calculates high-level quantities such as the invariant mass of pairs of reconstructed particles. The upgrade reduces the trigger rate from background processes and improves the trigger efficiency for a wide variety of physics signals. | ||
| 461 | 1 |
_0(RuTPU)RU\TPU\network\25113 _tJournal of Instrumentation |
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| 463 |
_tVol. 15, iss. 10 _v[P10017, 60 p.] _d2020 |
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| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _alarge detector-systems performance | |
| 610 | 1 | _atrigger algorithms | |
| 610 | 1 | _aдетекторные устройства | |
| 610 | 1 | _aалгоритмы | |
| 701 | 1 |
_aSirunyan _bA. M. |
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| 701 | 1 |
_aTumasyan _bA. R. |
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| 701 | 1 |
_aAdam _bW. _gWolfgang |
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| 701 | 1 |
_aAmbrogi _bF. _gFederico |
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| 701 | 1 |
_aTyurin _bN. E. _gNikolay Evgenjevich |
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| 701 | 1 |
_aBabaev _bA. A. _cphysicist _cengineer-issledovatelskogo Polytechnic University, candidate of physical and mathematical Sciences _f1981- _gAnton Anatoljevich _2stltpush _3(RuTPU)RU\TPU\pers\35154 |
|
| 701 | 1 |
_aOkhotnikov _bV. V. _cphysicist _cengineer of Tomsk Polytechnic University _f1992- _gVitaly Vladimirovich _2stltpush _3(RuTPU)RU\TPU\pers\36453 |
|
| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bИсследовательская школа физики высокоэнергетических процессов _c(2017- ) _h8118 _2stltpush _3(RuTPU)RU\TPU\col\23551 |
| 801 | 1 |
_aRU _b63413507 _c20150101 _gRCR |
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| 801 | 2 |
_aRU _b63413507 _c20210517 _gRCR |
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| 856 | 4 | _uhttps://doi.org/10.1088/1748-0221/15/10/P10017 | |
| 942 | _cCF | ||