scholarly journals How to calibrate jet energy scale?

2007 ◽  
Author(s):  
Kenichi Hatakeyama
Keyword(s):  
Energy Scale ◽  
Jet Energy

Setting the jet energy scale in the CMS calorimeter using events with direct photons

2008 ◽  
Vol 5 (5) ◽  
pp. 447-455 ◽  
Author(s):  
I. A. Golutvin ◽  
A. V. Zarubin ◽  
O. L. Kodolova ◽  
V. F. Konoplyanikov ◽  
A. L. Ul’yanov ◽  
...  
Keyword(s):  
Energy Scale ◽  
Direct Photons ◽  
Jet Energy

scholarly journals Jet Energy Scale Uncertainties in ATLAS

2012 ◽  
Vol 404 ◽  
pp. 012012
Author(s):  
Teresa Barillari ◽  
Keyword(s):  
Energy Scale ◽  
Jet Energy

scholarly journals Determination of jet calibration and energy resolution in proton–proton collisions at $$\sqrt{s} = 8~\hbox {TeV}$$ using the ATLAS detector

2020 ◽  
Vol 80 (12) ◽  
Author(s):  
M. Aaboud ◽  
◽  
G. Aad ◽  
B. Abbott ◽  
O. Abdinov ◽  
...  
Keyword(s):  
Transverse Momentum ◽  
Energy Resolution ◽  
Energy Scale ◽  
Atlas Detector ◽  
Residual Effects ◽  
Proton Proton ◽  
Proton Collisions ◽  
Calibration Scheme ◽  
Jet Energy ◽  
Proton Proton Collisions

AbstractThe jet energy scale, jet energy resolution, and their systematic uncertainties are measured for jets reconstructed with the ATLAS detector in 2012 using proton–proton data produced at a centre-of-mass energy of 8 TeV with an integrated luminosity of $$20 \, \hbox {fb}^{-1}$$ 20 fb - 1 . Jets are reconstructed from clusters of energy depositions in the ATLAS calorimeters using the anti-$$k_t$$ k t algorithm. A jet calibration scheme is applied in multiple steps, each addressing specific effects including mitigation of contributions from additional proton–proton collisions, loss of energy in dead material, calorimeter non-compensation, angular biases and other global jet effects. The final calibration step uses several in situ techniques and corrects for residual effects not captured by the initial calibration. These analyses measure both the jet energy scale and resolution by exploiting the transverse momentum balance in $$\gamma $$ γ  + jet, Z + jet, dijet, and multijet events. A statistical combination of these measurements is performed. In the central detector region, the derived calibration has a precision better than 1% for jets with transverse momentum $$150 \, \hbox {GeV} < p_{{\mathrm {T}}}<$$ 150 GeV < p T < 1500 GeV, and the relative energy resolution is $$(8.4\pm 0.6)\%$$ ( 8.4 ± 0.6 ) % for $$p_{{\mathrm {T}}}= 100 \, \hbox {GeV}$$ p T = 100 GeV and $$(23\pm 2)\%$$ ( 23 ± 2 ) % for $$p_{{\mathrm {T}}}= 20 \, \hbox {GeV}$$ p T = 20 GeV . The calibration scheme for jets with radius parameter $$R=1.0$$ R = 1.0 , for which jets receive a dedicated calibration of the jet mass, is also discussed.

scholarly journals Jet energy scale and resolution measured in proton–proton collisions at $$\sqrt{s}=13$$ TeV with the ATLAS detector

2021 ◽  
Vol 81 (8) ◽  
Author(s):  
◽  
G. Aad ◽  
B. Abbott ◽  
D. C. Abbott ◽  
A. Abed Abud ◽  
...  
Keyword(s):  
Energy Scale ◽  
Atlas Detector ◽  
Particle Flow ◽  
Proton Collision ◽  
Reconstruction Method ◽  
Proton Proton ◽  
In Situ Techniques ◽  
Systematic Uncertainties ◽  
Wide Range ◽  
Jet Energy

AbstractJet energy scale and resolution measurements with their associated uncertainties are reported for jets using 36–81 fb$$^{-1}$$ - 1 of proton–proton collision data with a centre-of-mass energy of $$\sqrt{s}=13$$ s = 13  $${\text {Te}}{\text {V}}$$ TeV collected by the ATLAS detector at the LHC. Jets are reconstructed using two different input types: topo-clusters formed from energy deposits in calorimeter cells, as well as an algorithmic combination of charged-particle tracks with those topo-clusters, referred to as the ATLAS particle-flow reconstruction method. The anti-$$k_t$$ k t jet algorithm with radius parameter $$R=0.4$$ R = 0.4 is the primary jet definition used for both jet types. This result presents new jet energy scale and resolution measurements in the high pile-up conditions of late LHC Run 2 as well as a full calibration of particle-flow jets in ATLAS. Jets are initially calibrated using a sequence of simulation-based corrections. Next, several in situ techniques are employed to correct for differences between data and simulation and to measure the resolution of jets. The systematic uncertainties in the jet energy scale for central jets ($$|\eta |<1.2$$ | η | < 1.2 ) vary from 1% for a wide range of high-$$p_{{\text {T}}}$$ p T jets ($$250<p_{{\text {T}}} <2000~{\text {Ge}}{\text {V}}$$ 250 < p T < 2000 GeV ), to 5% at very low $$p_{{\text {T}}}$$ p T ($$20~{\text {Ge}}{\text {V}}$$ 20 GeV ) and 3.5% at very high $$p_{{\text {T}}}$$ p T ($$>2.5~{\text {Te}}{\text {V}}$$ > 2.5 TeV ). The relative jet energy resolution is measured and ranges from ($$24 \pm 1.5$$ 24 ± 1.5 )% at 20 $${\text {Ge}}{\text {V}}$$ GeV to ($$6 \pm 0.5$$ 6 ± 0.5 )% at 300 $${\text {Ge}}{\text {V}}$$ GeV .

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