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Электронный каталог: Abe, K. - Signal Selection and Model-Independent Extraction of the Neutrino Neutral-Current Single *p*+ Cro...
Abe, K. - Signal Selection and Model-Independent Extraction of the Neutrino Neutral-Current Single *p*+ Cro...

Статья
Автор: Abe, K.
Physical Review D: Signal Selection and Model-Independent Extraction of the Neutrino Neutral-Current Single *p*+ Cro...
б.г.
ISBN отсутствует
Автор: Abe, K.
Physical Review D: Signal Selection and Model-Independent Extraction of the Neutrino Neutral-Current Single *p*+ Cro...
б.г.
ISBN отсутствует
Статья
Abe, K.
Signal Selection and Model-Independent Extraction of the Neutrino Neutral-Current Single *p*+ Cross Section with the T2K Experiment / K.Abe, V.Baranov, Yu.I.Davydov, V.Glagolev, V.Kiseeva, I.A.Suslov, V.V.Tereshchenko, I.Vasilyev, [a.o.]. – Text : electronic // Physical Review D. – 2025. – Vol. 112, No. 7. – P. 072008. – URL: https://doi.org/10.1103/wcn1-4tyl. – Bibliogr.: 49.
An anomaly detection search for narrow-width resonances beyond the Standard Model that decay into a pair of jets is presented. The search is based on 139 fb&sup(−1) of proton-proton collisions at *%s=13 TeV recorded during 2015–2018 with the ATLAS detector at the Large Hadron Collider. The analysis is optimized without a particular signal model and aims to be sensitive to a broad range of new physics. It uses two different machine learning strategies to estimate the background in different signal regions. In each region, a weakly supervised classifier is trained to distinguish this background model from data. The analysis focuses on events with high transverse momentum jets reconstructed as large-radius jets. The mass and substructure of these jets are used as inputs to the classifiers. After a classifier-based selection, the distribution of the invariant mass of the two jets is used to search for potential local excesses. The model-independent results of both the anomaly detection methods show no signs of significant local excesses. In addition to model-independent results, a representative set of signal models is injected into the data, and the sensitivity of the methods to these scenarios is reported.
ОИЯИ = ОИЯИ (JINR)2025
Abe, K.
Signal Selection and Model-Independent Extraction of the Neutrino Neutral-Current Single *p*+ Cross Section with the T2K Experiment / K.Abe, V.Baranov, Yu.I.Davydov, V.Glagolev, V.Kiseeva, I.A.Suslov, V.V.Tereshchenko, I.Vasilyev, [a.o.]. – Text : electronic // Physical Review D. – 2025. – Vol. 112, No. 7. – P. 072008. – URL: https://doi.org/10.1103/wcn1-4tyl. – Bibliogr.: 49.
An anomaly detection search for narrow-width resonances beyond the Standard Model that decay into a pair of jets is presented. The search is based on 139 fb&sup(−1) of proton-proton collisions at *%s=13 TeV recorded during 2015–2018 with the ATLAS detector at the Large Hadron Collider. The analysis is optimized without a particular signal model and aims to be sensitive to a broad range of new physics. It uses two different machine learning strategies to estimate the background in different signal regions. In each region, a weakly supervised classifier is trained to distinguish this background model from data. The analysis focuses on events with high transverse momentum jets reconstructed as large-radius jets. The mass and substructure of these jets are used as inputs to the classifiers. After a classifier-based selection, the distribution of the invariant mass of the two jets is used to search for potential local excesses. The model-independent results of both the anomaly detection methods show no signs of significant local excesses. In addition to model-independent results, a representative set of signal models is injected into the data, and the sensitivity of the methods to these scenarios is reported.
ОИЯИ = ОИЯИ (JINR)2025
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