Identification of b-jets using QCD-inspired observables

Fedkevych, Oleh; Khosa, Charanjit K.; Marzani, Simone; Sforza, F.

doi:10.48550/arxiv.2202.05082

Cited by 9 publications

(10 citation statements)

References 67 publications

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“…While it is difficult to measure hadronic Higgs decays in inclusive Higgs production via the leading gluon-fusion and vector-bosonfusion production modes at the LHC, the measurement of the H → b b decay was facilitated by the presence of a leptonically decaying vector boson in the VH processes, which provides a clean experimental signature. A similar approach to measure the sub-dominant H → gg decay at the LHC is, on the other hand, hindered by the overwhelming QCD background, despite impressive progress in distinguishing jets stemming from the Higgs decay from those originating from QCD background, see for example [11][12][13][14][15].…”

Section: Jhep06(2022)009mentioning

confidence: 99%

“…As a practical application of our work, we wish to study the suitability of event-shape observables as discriminators between both hadronic Higgs-decay modes. This, as well as other techniques to separate the decay channels [11][12][13][14][15], provides means to facilitate the extraction of the involved Higgs couplings. A similar idea has so-far only been pursued for the thrust observable, using either a three-jet merged calculation in [46] or an NLO calculation with approximate next-to-next-to-leading order (NNLO) effects in [47], and for the energy-energy correlation, which has been computed at NLO in [48,49].…”

Section: Jhep06(2022)009mentioning

confidence: 99%

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QCD predictions for event-shape distributions in hadronic Higgs decays

Coloretti

Ridder

Preuss

2022

J. High Energ. Phys.

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We study the six classical event-shape observables in hadronic Higgs decays at next-to-leading order in QCD. To this end, we consider the decay of on-shell Higgs bosons to three partons, taking into account both the Yukawa-induced decay to b-quark pairs and the loop-induced decay to two gluons via an effective Higgs-gluon coupling. The results are discussed with a particular focus on the discriminative power of event shapes regarding these two classes of processes.

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Section: Jhep06(2022)009mentioning

confidence: 99%

Section: Jhep06(2022)009mentioning

confidence: 99%

QCD predictions for event-shape distributions in hadronic Higgs decays

Coloretti

Ridder

Preuss

2022

J. High Energ. Phys.

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“…Some efforts have also turned towards constructing more expressive features via so-called Energy Flow Polynomials [12,13], or novel QCD inspired features [14,15]. Currently, the most accurate machine learning approaches on jet tagging benchmarks are Lorentz group equivariant message passing networks (LE-MPNNs) [7,16,17].…”

Section: Center Of Mass Framementioning

confidence: 99%

BIP: Boost Invariant Polynomials for Efficient Jet Tagging

Munoz¹,

Batatia²,

Ortner³

2022

Preprint

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Deep Learning approaches are becoming the go-to methods for data analysis in High Energy Physics (HEP). Nonetheless, most physics-inspired modern architectures are computationally inefficient and lack interpretability. This is especially the case with jet tagging algorithms, where computational efficiency is crucial considering the large amounts of data produced by modern particle detectors. In this work, we present a novel, versatile and transparent framework for jet representation; invariant to Lorentz group boosts, which achieves high accuracy on jet tagging benchmarks while being orders of magnitudes faster to train and evaluate than other modern approaches for both supervised and unsupervised schemes.

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“…[40]. The Lund jet plane has also been successfully utilised to inform machine-learning-based studies for jet tagging [41,42] and quark/gluon jet discrimination [43].…”

Section: Introductionmentioning

confidence: 99%

Lund and Cambridge multiplicities for precision physics

Medves

Soto-Ontoso²,

Soyez³

2022

J. High Energ. Phys.

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We revisit the calculation of the average jet multiplicity in high-energy collisions. First, we introduce a new definition of (sub)jet multiplicity based on Lund declusterings obtained using the Cambridge jet algorithm. We develop a new systematic resummation approach. This allows us to compute both the Lund and the Cambridge average multiplicities to next-to-next-to-double (NNDL) logarithmic accuracy in electron-positron annihilation, an order higher in accuracy than previous works in the literature. We match our resummed calculation to the exact NLO ($$ \mathcal{O} $$ O ($$ {\alpha}_s^2 $$ α s 2 )) result, showing predictions for the Lund multiplicity at LEP energies with theoretical uncertainties up to 50% smaller than the previous state-of-the-art. Adding hadronisation corrections obtained by Monte Carlo simulations, we also show a good agreement with existing Cambridge multiplicity data. Finally, to highlight the flexibility of our method, we extend the Lund multiplicity calculation to hadronic collisions where we reach next-to-double logarithmic accuracy for colour singlet production.

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Identification of b-jets using QCD-inspired observables

Cited by 9 publications

References 67 publications

QCD predictions for event-shape distributions in hadronic Higgs decays

QCD predictions for event-shape distributions in hadronic Higgs decays

BIP: Boost Invariant Polynomials for Efficient Jet Tagging

Lund and Cambridge multiplicities for precision physics

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