Publications [#374214] of Ashutosh V. Kotwal

Papers Published
  1. Aad, G; Abbott, B; Abeling, K; Abicht, NJ; Abidi, SH; Aboulhorma, A; Abramowicz, H; Abreu, H; Abulaiti, Y; Hoffman, ACA; Acharya, BS; Bourdarios, CA; Adamczyk, L; Adamek, L; Addepalli, SV; Addison, MJ; Adelman, J; Adiguzel, A; Adye, T; Affolder, AA; Afik, Y; Agaras, MN; Agarwala, J; Aggarwal, A; Agheorghiesei, C; Ahmad, A; Ahmadov, F; Ahmed, WS; Ahuja, S; Ai, X; Aielli, G; Tamlihat, MA; Aitbenchikh, B; Aizenberg, I; Akbiyik, M; Åkesson, TPA; Akimov, AV; Akiyama, D; Akolkar, NN; Khoury, KA; Alberghi, GL; Albert, J; Albicocco, P; Albouy, GL; Alderweireldt, S; Aleksa, M; Aleksandrov, IN; Alexa, C; Alexopoulos, T; Alfonsi, A; Alfonsi, F; Alhroob, M; Ali, B; Ali, S; Aliev, M; Alimonti, G; Alkakhi, W; Allaire, C; Allbrooke, BMM; Flores, CAA; Allport, PP; Aloisio, A; Alonso, F; Alpigiani, C; Estevez, MA; Fernandez, AA; Alviggi, MG; Aly, M; Coutinho, YA; Ambler, A; Amelung, C; Amerl, M; Ames, CG; Amidei, D; Santos, SPAD; Amos, KR; Ananiev, V; Anastopoulos, C; Andeen, T; Anders, JK; Andrean, SY; Andreazza, A; Angelidakis, S; Angerami, A; Anisenkov, AV; Annovi, A; Antel, C; Anthony, MT; Antipov, E; Antonelli, M; Antrim, DJA; Anulli, F; Aoki, M; Aoki, T; Pozo, JAA; Aparo, MA; Bella, LA; Appelt, C; Aranzabal, N; Arcangeletti, C, New techniques for jet calibration with the ATLAS detector, European Physical Journal C, vol. 83 no. 8 (August, 2023), Springer Science and Business Media LLC [doi] .

    Abstract:
    A determination of the jet energy scale is presented using proton–proton collision data with a centre-of-mass energy of s=13 TeV, corresponding to an integrated luminosity of 140 fb-1 collected using the ATLAS detector at the LHC. Jets are reconstructed using the ATLAS particle-flow method that combines charged-particle tracks and topo-clusters formed from energy deposits in the calorimeter cells. The anti-kt jet algorithm with radius parameter R=0.4 is used to define the jet. Novel jet energy scale calibration strategies developed for the LHC Run 2 are reported that lay the foundation for the jet calibration in Run 3. Jets are calibrated with a series of simulation-based corrections, including state-of-the-art techniques in jet calibration such as machine learning methods and novel in situ calibrations to achieve better performance than the baseline calibration derived using up to 81 fb-1 of Run 2 data. The performance of these new techniques is then examined in the in situ measurements by exploiting the transverse momentum balance between a jet and a reference object. The b-quark jet energy scale using particle flow jets is measured for the first time with around 1% precision using γ+jet events.

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