{"@context":"http://schema.org","@id":"https://doi.org/10.17182/hepdata.135828.v2","@reverse":{"isBasedOn":[{"@type":"ScholarlyArticle","identifier":{"@type":"PropertyValue","propertyID":"URL","value":"https://inspirehep.net/literature/2666488"}},{"@id":"https://doi.org/10.1103/PhysRevD.108.052009","@type":"JournalArticle"}]},"@type":"Dataset","additionalType":"Collection","author":{"@type":"Organization","name":"ATLAS Collaboration"},"creator":{"@type":"Organization","name":"ATLAS Collaboration"},"datePublished":"2023","description":"A search is presented for a heavy resonance $Y$ decaying into a Standard Model Higgs boson $H$ and a new particle $X$ in a fully hadronic final state. The full Large Hadron Collider Run 2 dataset of proton-proton collisions at $\\sqrt{s}= 13$ TeV collected by the ATLAS detector from 2015 to 2018 is used, and corresponds to an integrated luminosity of 139 fb$^{-1}$. The search targets the high $Y$-mass region, where the $H$ and $X$ have a significant Lorentz boost in the laboratory frame. A novel signal region is implemented using anomaly detection, where events are selected solely because of their incompatibility with a learned background-only model. It is defined using a jet-level tagger for signal-model-independent selection of the boosted $X$ particle, representing the first application of fully unsupervised machine learning to an ATLAS analysis. Two additional signal regions are implemented to target a benchmark $X$ decay into two quarks, covering topologies where the $X$ is reconstructed as either a single large-radius jet or two small-radius jets. The analysis selects Higgs boson decays into $b\\bar{b}$, and a dedicated neural-network-based tagger provides sensitivity to the boosted heavy-flavor topology. No significant excess of data over the expected background is observed, and the results are presented as upper limits on the production cross section $\\sigma(pp \\rightarrow Y \\rightarrow XH \\rightarrow q\\bar{q}b\\bar{b}$) for signals with $m_Y$ between 1.5 and 6 TeV and $m_X$ between 65 and 3000 GeV.","hasPart":[{"@id":"https://doi.org/10.17182/hepdata.135828.v2/t1","@type":"Dataset","description":"Acceptance times efficiency for signal grid in anomaly signal region.","name":"Table 1"},{"@id":"https://doi.org/10.17182/hepdata.135828.v2/t2","@type":"Dataset","description":"Acceptance times efficiency for signal grid in merged two-prong signal region.","name":"Table 2"},{"@id":"https://doi.org/10.17182/hepdata.135828.v2/t3","@type":"Dataset","description":"Acceptance times efficiency for signal grid in resolved two-prong signal region.","name":"Table 3"},{"@id":"https://doi.org/10.17182/hepdata.135828.v2/t4","@type":"Dataset","description":"The obtained p-value from comparing data to background estimation across all bins, defined by windows in the X and Y...","name":"Table 4"},{"@id":"https://doi.org/10.17182/hepdata.135828.v2/t5","@type":"Dataset","description":"The expected 95% CL limits on the cross-section $\\sigma(pp \\rightarrow Y \\rightarrow XH \\rightarrow q\\bar{q}b\\bar{b}$) in pb in the two-dimensional...","name":"Table 5"},{"@id":"https://doi.org/10.17182/hepdata.135828.v2/t6","@type":"Dataset","description":"The observed 95% CL limits on the cross-section $\\sigma(pp \\rightarrow Y \\rightarrow XH \\rightarrow q\\bar{q}b\\bar{b}$) in pb in the two-dimensional...","name":"Table 6"}],"identifier":[{"@type":"PropertyValue","propertyID":"HEPDataRecord","value":"https://www.hepdata.net/record/ins2666488?version=2"},{"@type":"PropertyValue","propertyID":"HEPDataRecordAlt","value":"https://www.hepdata.net/record/135828"}],"inLanguage":"en","name":"Anomaly detection search for new resonances decaying into a Higgs boson and a generic new particle $X$ in hadronic final states using $\\sqrt{s} = 13$ TeV $pp$ collisions with the ATLAS detector","provider":{"@type":"Organization","name":"HEPData"},"publisher":{"@type":"Organization","name":"HEPData"},"url":"https://www.hepdata.net/record/ins2666488?version=2","version":2}