{"@context":"http://schema.org","@id":"https://doi.org/10.17182/hepdata.144864.v1","@reverse":{"isBasedOn":[{"@type":"ScholarlyArticle","identifier":{"@type":"PropertyValue","propertyID":"URL","value":"https://inspirehep.net/literature/2674351"}},{"@id":"https://doi.org/10.1103/PhysRevLett.132.081801","@type":"JournalArticle"}]},"@type":"Dataset","additionalType":"Collection","author":{"@type":"Organization","name":"ATLAS Collaboration"},"creator":{"@type":"Organization","name":"ATLAS Collaboration"},"datePublished":"2024","description":"Searches for new resonances are performed using an unsupervised anomaly-detection technique. Events with at least one electron or muon are selected from 140 $fb^{-1}$ of $\\textit{p} \\textit{p}$ collisions at $\\sqrt{s}$ = 13 TeV recorded by ATLAS at the Large Hadron Collider. The approach involves training an autoencoder on data, and subsequently defining anomalous regions based on the reconstruction loss of the decoder. Studies focus on nine invariant mass spectra that contain pairs of objects consisting of one light jet or $\\textit{b}$-jet and either one lepton ($\\textit{e}, \\mu$), photon, or second light jet or $\\textit{b}$-jet in the anomalous regions. No significant deviations from the background hypotheses are observed. Limits on contributions from generic Gaussian signals with various widths of the resonance mass are obtained for nine invariant masses in the anomalous regions.","hasPart":[{"@id":"https://doi.org/10.17182/hepdata.144864.v1/t1","@type":"Dataset","description":"Distributions of the anomaly score from the AE for data and five benchmark BSM models. Their legends, from top to...","name":"fig_01"},{"@id":"https://doi.org/10.17182/hepdata.144864.v1/t2","@type":"Dataset","description":"Invariant mass distributions of jet+Y for $M_{jY}$ > 0.3 TeV in the 10 pb AR along with the fit of...","name":"fig_02"},{"@id":"https://doi.org/10.17182/hepdata.144864.v1/t3","@type":"Dataset","description":"Values of $\\Delta Z$ for the discovery sensitivity, as defined in the text, as a function of the invariant mass...","name":"fig_03_jj"},{"@id":"https://doi.org/10.17182/hepdata.144864.v1/t4","@type":"Dataset","description":"Values of $\\Delta Z$ for the discovery sensitivity, as defined in the text, as a function of the invariant mass...","name":"fig_03_jb"},{"@id":"https://doi.org/10.17182/hepdata.144864.v1/t5","@type":"Dataset","description":"Values of $\\Delta Z$ for the discovery sensitivity, as defined in the text, as a function of the invariant mass...","name":"fig_03_bb"},{"@id":"https://doi.org/10.17182/hepdata.144864.v1/t6","@type":"Dataset","description":"Values of $\\Delta Z$ for the discovery sensitivity, as defined in the text, as a function of the invariant mass...","name":"fig_03_je"},{"@id":"https://doi.org/10.17182/hepdata.144864.v1/t7","@type":"Dataset","description":"Values of $\\Delta Z$ for the discovery sensitivity, as defined in the text, as a function of the invariant mass...","name":"fig_03_be"},{"@id":"https://doi.org/10.17182/hepdata.144864.v1/t8","@type":"Dataset","description":"Values of $\\Delta Z$ for the discovery sensitivity, as defined in the text, as a function of the invariant mass...","name":"fig_03_jg"},{"@id":"https://doi.org/10.17182/hepdata.144864.v1/t9","@type":"Dataset","description":"Values of $\\Delta Z$ for the discovery sensitivity, as defined in the text, as a function of the invariant mass...","name":"fig_03_jm"},{"@id":"https://doi.org/10.17182/hepdata.144864.v1/t10","@type":"Dataset","description":"Values of $\\Delta Z$ for the discovery sensitivity, as defined in the text, as a function of the invariant mass...","name":"fig_03_bm"},{"@id":"https://doi.org/10.17182/hepdata.144864.v1/t11","@type":"Dataset","description":"Values of $\\Delta Z$ for the discovery sensitivity, as defined in the text, as a function of the invariant mass...","name":"fig_03_bg"},{"@id":"https://doi.org/10.17182/hepdata.144864.v1/t12","@type":"Dataset","description":"The 95% CL upper limits on the cross section times acceptance ($A$), efficiency ($\\epsilon$), and branching ratio ($B$) for Gaussian-shaped...","name":"fig_04"},{"@id":"https://doi.org/10.17182/hepdata.144864.v1/t13","@type":"Dataset","description":"Distributions of the anomaly score from the AE for data and five benchmark BSM models. Their legends, from top to...","name":"figaux_02"},{"@id":"https://doi.org/10.17182/hepdata.144864.v1/t14","@type":"Dataset","description":"Invariant mass distributions of $j+Y$ for $M_{jY}$ > 0.3 TeV after preselection along with the fit from Eq.(1). The fit...","name":"figaux_03"},{"@id":"https://doi.org/10.17182/hepdata.144864.v1/t15","@type":"Dataset","description":"Distributions of the anomaly score for data and several anomaly scenarios. The example BSM model (shown with the dashed blue...","name":"figaux_04"}],"identifier":[{"@type":"PropertyValue","propertyID":"HEPDataRecord","value":"https://www.hepdata.net/record/ins2674351?version=1"},{"@type":"PropertyValue","propertyID":"HEPDataRecordAlt","value":"https://www.hepdata.net/record/144864"}],"inLanguage":"en","name":"Search for new phenomena in two-body invariant mass distributions using unsupervised machine learning for anomaly detection at $\\sqrt{s} = 13$ TeV with the ATLAS detector","provider":{"@type":"Organization","name":"HEPData"},"publisher":{"@type":"Organization","name":"HEPData"},"url":"https://www.hepdata.net/record/ins2674351?version=1","version":1}