Scholarly Output

Publications

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Citations
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Papers
InspireHEP
Works
ORCID
01
Search for Heavy Resonances in Final States with Four Leptons and Missing Transverse Momentum or Jets in pp Collisions at √s = 13 TeV with the ATLAS Detector
ATLAS Collaboration (G. Aad et al.) · Analysis Contact & Paper Editor
Journal of High Energy Physics, 2024(10), 130 · DOI · arXiv:2401.04742
Beyond Standard Model Dark Matter Four Leptons
This analysis searched for new heavy bosons (R → SH and A → ZH) decaying into four leptons plus missing energy or jets, probing dark matter candidates across 320–1300 GeV using the full LHC Run-2 ATLAS dataset — the first ATLAS search of this kind.

My contribution: I drove this analysis from conception to publication as the sole Analysis Contact — the designated lead physicist responsible for all technical and editorial decisions on behalf of the ~3,000-member ATLAS Collaboration. This included designing the full analysis strategy, Monte Carlo signal generation, background estimation, statistical interpretation, and authoring the internal ATLAS note and the final journal paper. I led the peer-review response process. The analysis spanned my PhD and early postdoc — over five years of sustained independent scientific leadership.
02
Application of Quantum Machine Learning in a Higgs Physics Study at the CEPC
Fadol, A., Sha, Q., Fang, Y., Li, Z., Qian, S., Xiao, Y., Zhang, Y., Zhou, C. · First & Corresponding Author
International Journal of Modern Physics A, 39(01) (2024), 2450007 · DOI · arXiv:2209.12788
Quantum Machine Learning Higgs Physics CEPC First Author
This study pioneered the application of a quantum support-vector machine (QSVM-Kernel) algorithm to Higgs event classification at the CEPC, benchmarking IBM Quantum and Origin Quantum hardware against classical and noiseless-simulator baselines across 6-qubit circuits.

My contribution: I conceived and built the entire analysis framework in Python using Qiskit, which formed the foundation all results in this paper were built upon. I performed the benchmarking comparison between IBM and Origin Quantum hardware and between classical and quantum simulators. Co-authors independently cross-checked the results using the framework I designed.
03
Evidence of Off-Shell Higgs Boson Production from ZZ Leptonic Decay Channels and Constraints on its Total Width with the ATLAS Detector
ATLAS Collaboration (G. Aad et al.) · Contributing Analyst
Physics Letters B, 846 (2023), 138223 · DOI · arXiv:2304.01532
Off-Shell Higgs Higgs Total Width ZZ → 4ℓ
This landmark ATLAS result provided the first evidence for off-shell Higgs boson production at 3.3σ significance, measuring the total Higgs width as 4.5⁺³·³₋₂.₅ MeV — the most precise direct ATLAS constraint at the time.

My contribution: I led the study of experimental systematic uncertainties for the ZZ → 4ℓ channel and performed the combined statistical analysis of both the ZZ → 4ℓ and ZZ → 2ℓ2ν channels. I directly extracted the total Higgs width and coupling constraints — the core physics result of this paper.
04
Probing Higgs CP Properties at the CEPC in the e+eZH → ℓ+H Using Optimal Variables
Sha, Q., Fadol, A., Guo, F., Li, G., Fang, Y., Gu, J. & Lou, X. · 2nd Author & Framework Developer
European Physical Journal C, 82(11) (2022), 981 · DOI · arXiv:2203.11707
Erratum: Eur. Phys. J. C 83, 62 (2023)
Higgs CP Violation CEPC Optimal Observables 2nd Author
This study demonstrated strong sensitivity to BSM CP violation in the Higgs sector at the CEPC, constraining CP-violating parameters c̃ ∈ [−0.30, 0.27] and c̃ZZ ∈ [−0.06, 0.06] at 68% CL using 5.6 ab⁻¹ at 240 GeV.

My contribution: I derived the Ji equations for the differential cross-section and built the foundational Monte Carlo generator framework in which the entire analysis was conducted, implementing multiple CP-coupling assumptions. The framework I developed formed the indispensable basis for all co-authors' results.
05
The Emergence of Multi-Lepton Anomalies at the LHC and their Compatibility with New Physics at the EW Scale
von Buddenbrock, S., Cornell, A.S., Fang, Y., Fadol, A., Kumar, M., Mellado, B. & Tomiwa, K.G.
Journal of High Energy Physics, 2019(10), 157 · DOI · arXiv:1901.05300
Beyond Standard Model Multi-Lepton Anomalies LHC
A formal study of multi-lepton anomalies across LHC results, finding significant data–SM discrepancies consistent with a heavy scalar H (270 GeV) decaying to a SM Higgs and singlet scalar S (150 GeV).

My contribution: I generated the BSM signal Monte Carlo samples and performed the ATLAS Run-I data analysis. I estimated systematic uncertainties in dilepton distributions from t t̄ and tW background processes — critical to the statistical robustness of the anomaly claims.
06
Search for Higgs Boson Pair Production in the γγWW* Channel using pp Collision Data Recorded at √s = 13 TeV with the ATLAS Detector
ATLAS Collaboration (G. Aad et al.) · Contributing Member
European Physical Journal C, 78(12) (2018), 1007 · DOI · arXiv:1807.08567
Di-Higgs Production γγWW* BSM Resonances
This ATLAS search for non-resonant and resonant HH production in the γγWW* final state used 36.1 fb⁻¹ at 13 TeV, setting 95% CL observed upper limits across resonance masses from 260 to 500 GeV.

My contribution: I contributed to analysis validation by independently cross-checking the signal cut-flow and producing comparison plots used in the internal ATLAS review process.
07
Multi-Lepton Signatures of Additional Scalar Bosons Beyond the Standard Model at the LHC
von Buddenbrock, S., Cornell, A.S., Fadol, A., Kumar, M., Mellado, B. & Ruan, X. · 3rd Author
Journal of Physics G, 45(11) (2018), 115003 · DOI · arXiv:1711.07874
Beyond Standard Model BSM Scalars Multi-Lepton 3rd Author
This study characterised the gg → H → Sh production mode and compared BSM scalar predictions against ATLAS and CMS Run-I dilepton data to constrain the S boson mass.

My contribution: I performed the full signal analysis for the gg → H → Sh process, estimated the S boson mass that best fit the observed dilepton spectra from both ATLAS and CMS, and carried out the BSM fit results in Table 1 for the Run-I dataset.
Full List on InspireHEP Google Scholar