BEGIN:VCALENDAR VERSION:2.0 PRODID:-//linuxsoftware.nz//NONSGML Joyous v1.4//EN BEGIN:VEVENT SUMMARY:Searching for HWW Anomalous Couplings with Simulation-Based Infere nce DTSTART:20241203T103000Z DTEND:20241203T130000Z DTSTAMP:20260706T214508Z UID:0faed6e8-9a11-4d74-add4-08d0e10c841d SEQUENCE:1 CREATED:20241202T105511Z DESCRIPTION: (Password: 041022 ) Understanding the universe’s asymmetry between matter and antimatter is one of the major open questions in parti cle physics. Explaining this imbalance requires a source of Charge-Parity (CP) violation beyond the Standard Model (BSM). Given the Higgs boson’s role in electroweak symmetry breaking\, its interactions are a natural pla ce to search for anomalous couplings. In this work\, the $HWW$ interaction vertex is studied in the channel\, where \, within the Standard Model Effective Field Theory (SMEFT) framework.The sensitivity to two HWW anoma lous couplings\, and \, is explored using machine-learning-based infe rence techniques. These methods leverage simulator information to train ne ural networks that estimate likelihood ratios by capturing correlations be tween observables and avoiding the typical approximations in traditional m ethods. ALICES\, a cross-entropy estimator functioning as an unbinned\, hi gh-dimensional surrogate model for simulation-based inference\, is benchma rked against SALLY\, a detector-level optimal observable\, and against tra ditional histograms of kinematic and angular observables.The ALICES and SA LLY methods yielded tighter constraints than 1D summary observables\, but SALLY'\;s results closely matched those from 2D histograms. However\, SALLY remains promising\, given its potential for simultaneous probing of several couplings. Although ALICES sometimes struggled to capture the mini ma and likelihood shapes accurately\, further refinement could enhance its sensitivity beyond both SALLY and 2D histograms. These results underscore the value of further exploring these methods with Run 3 data to potential ly improve current ATLAS and CMS results. LAST-MODIFIED:20241202T105511Z LOCATION:DF Seminar Room\, Floor 2\, Physics Building/Online URL:http://df.vps.tecnico.ulisboa.pt/en/events/searching-for-hww-anomalous -couplings-with-simulation-based-inference/ X-ALT-DESC;FMTTYPE=text/html:

(Password: 041022 )

Understandi ng the universe’s asymmetry between matter and antimatter is one of the major open questions in particle physics. Explaining this imbalance requir es a source of Charge-Parity (CP) violation beyond the Standard Model (BSM ). Given the Higgs boson’s role in electroweak symmetry breaking\, its i nteractions are a natural place to search for anomalous couplings. In this work\, the $HWW$ interaction vertex is studied in the channel\, where \, within the Standard Model Effective Field Theory (SMEFT) framework.

The sensitivity to two HWW anomalous couplings\, and \, is explored using machine-learning-based inference techniques. These methods leverage simulator information to train neural networks that estimate likelihood ratios by capturing correlations between observables and avoiding the typical approximations in traditional method s. ALICES\, a cross-entropy estimator functioning as an unbinned\, high-di mensional surrogate model for simulation-based inference\, is benchmarked against SALLY\, a detector-level optimal observable\, and against traditio nal histograms of kinematic and angular observables.

The ALICES and SALLY methods yielded tighter constraints than 1D summary observables\, but SALLY'\;s results closely matched t hose from 2D histograms. However\, SALLY remains promising\, given its pot ential for simultaneous probing of several couplings. Although ALICES some times struggled to capture the minima and likelihood shapes accurately\, f urther refinement could enhance its sensitivity beyond both SALLY and 2D h istograms. These results underscore the value of further exploring these m ethods with Run 3 data to potentially improve current ATLAS and CMS result s.

END:VEVENT END:VCALENDAR