Adhikary, A and Barman, RK and Bhattacherjee, B (2020) Prospects of non-resonant di-Higgs searches and Higgs boson self-coupling measurement at the HE-LHC using machine learning techniques. In: Journal of High Energy Physics, 2020 (12).
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Abstract
The prospects of observing the non-resonant di-Higgs production in the Standard Model at the proposed high energy upgrade of the LHC, viz. the HE-LHC (s = 27 TeV and � = 15 ab�1) is studied. Various di-Higgs final states are considered based on their cleanliness and production rates. The search for the non-resonant double Higgs production at the HE-LHC is performed in the bb¯ γγ, bb¯ �+��, bb¯ WW�, WW�γγ, bb¯ ZZ� and bb¯ μ+μ� channels. The signal-background discrimination is performed through multivariate analyses using the Boosted Decision Tree Decorrelated (BDTD) algorithm in the TMVA framework, the XGBoost toolkit and Deep Neural Network (DNN). The variation in the kinematics of Higgs pair production as a function of the self-coupling of the Higgs boson, λh, is also studied. The ramifications of varying λh on the bb¯ γγ, bb¯ �+�� and bb¯ WW� search analyses optimized for the SM hypothesis is also explored. © 2020, The Author(s).
| Item Type: | Journal Article |
|---|---|
| Publication: | Journal of High Energy Physics |
| Publisher: | Springer Science and Business Media Deutschland GmbH |
| Additional Information: | Copyright to this article belongs to Springer Science and Business Media Deutschland GmbH |
| Department/Centre: | Division of Physical & Mathematical Sciences > Centre for High Energy Physics |
| Date Deposited: | 27 Jan 2021 05:33 |
| Last Modified: | 27 Jan 2021 05:33 |
| URI: | http://eprints.iisc.ac.in/id/eprint/67618 |
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