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A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC
Research article (Proceedings of XXIX International Symposium on Lepton Photon Interactions at High Energies — PoS(LeptonPhoton2019), 2019) · cited 10× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-generative-adversarial-network-approach-for-the-simulation-of-qcd-dijet-events-at-the-lhc
MLA“A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-generative-adversarial-network-approach-for-the-simulation-of-qcd-dijet-events-at-the-lhc.
BibTeX@misc{4ortxyz_a-generative-adversarial-network-approach-for-the-simulation-of-qcd-dijet-events-at-the-lhc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC}}, year = {2026}, url = {https://4ort.xyz/entity/a-generative-adversarial-network-approach-for-the-simulation-of-qcd-dijet-events-at-the-lhc}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC — https://4ort.xyz/entity/a-generative-adversarial-network-approach-for-the-simulation-of-qcd-dijet-events-at-the-lhc (retrieved 2026-05-24)
