Home > Publications database > Tagging more quark jet flavours at FCC-ee at 91 GeV with a transformer-based neural network > print |
001 | 619033 | ||
005 | 20250527210440.0 | ||
024 | 7 | _ | |a Blekman:2024wyf |2 INSPIRETeX |
024 | 7 | _ | |a inspire:2797728 |2 inspire |
024 | 7 | _ | |a arXiv:2406.08590 |2 arXiv |
024 | 7 | _ | |a 10.3204/PUBDB-2024-07333 |2 datacite_doi |
037 | _ | _ | |a PUBDB-2024-07333 |
041 | _ | _ | |a English |
082 | _ | _ | |a 530 |
088 | _ | _ | |a arXiv:2406.08590 |2 arXiv |
088 | _ | _ | |a DESY-24-086 |2 DESY |
100 | 1 | _ | |a Blekman, Freya |0 P:(DE-H253)PIP1097620 |b 0 |u desy |
245 | _ | _ | |a Tagging more quark jet flavours at FCC-ee at 91 GeV with a transformer-based neural network |
260 | _ | _ | |c 2024 |
336 | 7 | _ | |a Preprint |b preprint |m preprint |0 PUB:(DE-HGF)25 |s 1748344278_497791 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a WORKING_PAPER |2 ORCID |
336 | 7 | _ | |a Electronic Article |0 28 |2 EndNote |
336 | 7 | _ | |a preprint |2 DRIVER |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a Output Types/Working Paper |2 DataCite |
500 | _ | _ | |a Version submitted to the European Physical Journal C |
520 | _ | _ | |a Jet flavour tagging is crucial in experimental high-energy physics. A tagging algorithm, DeepJetTransformer, is presented, which exploits a transformer-based neural network that is substantially faster to train. The DeepJetTransformer network uses information from particle flow-style objects and secondary vertex reconstruction as is standard for $b$- and $c$-jet identification supplemented by additional information, such as reconstructed V$^0$s and $K^{\pm}/\pi^{\pm}$ discrimination, typically not included in tagging algorithms at the LHC. The model is trained as a multiclassifier to identify all quark flavours separately and performs excellently in identifying $b$- and $c$-jets. An $s$-tagging efficiency of $40\%$ can be achieved with a $10\%$$ud$-jet background efficiency. The impact of including V$^0$s and $K^{\pm}/\pi^{\pm}$ discrimination is presented. The network is applied on exclusive $Z \to q\bar{q}$ samples to examine the physics potential and is shown to isolate $Z \to s\bar{s}$ events. Assuming all other backgrounds can be efficiently rejected, a $5\sigma$ discovery significance for $Z \to s\bar{s}$ can be achieved with an integrated luminosity of $60~\text{nb}^{-1}$, corresponding to less than a second of the FCC-ee run plan at the $Z$ resonance. |
536 | _ | _ | |a 611 - Fundamental Particles and Forces (POF4-611) |0 G:(DE-HGF)POF4-611 |c POF4-611 |f POF IV |x 0 |
536 | _ | _ | |a DFG project G:(GEPRIS)390833306 - EXC 2121: Quantum Universe (390833306) |0 G:(GEPRIS)390833306 |c 390833306 |x 1 |
588 | _ | _ | |a Dataset connected to INSPIRE |
693 | _ | _ | |0 EXP:(DE-H253)FCC-20190101 |5 EXP:(DE-H253)FCC-20190101 |e Future Circular Collider |x 0 |
700 | 1 | _ | |a Canelli, Florencia |b 1 |
700 | 1 | _ | |a De Moor, Alexandre |b 2 |
700 | 1 | _ | |a Gautam, Kunal |0 P:(DE-H253)PIP1104458 |b 3 |e Corresponding author |
700 | 1 | _ | |a Ilg, Armin |b 4 |
700 | 1 | _ | |a Macchiolo, Anna |b 5 |
700 | 1 | _ | |a Ploerer, Eduardo |b 6 |
856 | 4 | _ | |y OpenAccess |u https://bib-pubdb1.desy.de/record/619033/files/2406.08590v4.pdf |
856 | 4 | _ | |y OpenAccess |x pdfa |u https://bib-pubdb1.desy.de/record/619033/files/2406.08590v4.pdf?subformat=pdfa |
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910 | 1 | _ | |a Deutsches Elektronen-Synchrotron |0 I:(DE-588b)2008985-5 |k DESY |b 0 |6 P:(DE-H253)PIP1097620 |
910 | 1 | _ | |a External Institute |0 I:(DE-HGF)0 |k Extern |b 0 |6 P:(DE-H253)PIP1097620 |
910 | 1 | _ | |a External Institute |0 I:(DE-HGF)0 |k Extern |b 3 |6 P:(DE-H253)PIP1104458 |
913 | 1 | _ | |a DE-HGF |b Forschungsbereich Materie |l Matter and the Universe |1 G:(DE-HGF)POF4-610 |0 G:(DE-HGF)POF4-611 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-600 |4 G:(DE-HGF)POF |v Fundamental Particles and Forces |x 0 |
914 | 1 | _ | |y 2024 |
915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
915 | _ | _ | |a Published |0 StatID:(DE-HGF)0580 |2 StatID |
915 | _ | _ | |a Creative Commons Attribution-NonCommercial-ShareAlike CC BY-NC-SA 3.0 |0 LIC:(DE-HGF)CCBYNCSA3 |2 HGFVOC |
920 | 1 | _ | |0 I:(DE-H253)CMS-20120731 |k CMS |l LHC/CMS Experiment |x 0 |
980 | _ | _ | |a preprint |
980 | _ | _ | |a VDB |
980 | _ | _ | |a UNRESTRICTED |
980 | _ | _ | |a I:(DE-H253)CMS-20120731 |
980 | 1 | _ | |a FullTexts |
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