Higgs self-coupling measurements using deep learning in the b¯bb¯b final state
Journal of High Energy Physics Springer 2020:12 (2020) 115
Abstract:
Measuring the Higgs trilinear self-coupling λhhh is experimentally demanding but fundamental for understanding the shape of the Higgs potential. We present a comprehensive analysis strategy for the HL-LHC using di-Higgs events in the four b-quark channel (hh → 4b), extending current methods in several directions. We perform deep learning to suppress the formidable multijet background with dedicated optimisation for BSM λhhh scenarios. We compare the λhhh constraining power of events using different multiplicities of large radius jets with a two-prong structure that reconstruct boosted h → bb decays. We show that current uncertainties in the SM top Yukawa coupling yt can modify λhhh constraints by ∼ 20%. For SM yt, we find prospects of −0.8 < 𝜆ℎℎℎ/𝜆SMℎℎℎ < 6.6 at 68% CL under simplified assumptions for 3000 fb−1 of HL-LHC data. Our results provide a careful assessment of di-Higgs identification and machine learning techniques for all-hadronic measurements of the Higgs self-coupling and sharpens the requirements for future improvement.A study of the silicon divacancy defect in the E2V LSST CCD250 using the single trap pumping method
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Proceedings of SPIE--the International Society for Optical Engineering SPIE, the international society for optics and photonics 11454 (2020) 114543e-114543e-16
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ArXiv 2012.03799 (2020)