Matches in SemOpenAlex for { <https://semopenalex.org/work/W3089597632> ?p ?o ?g. }
- W3089597632 abstract "Information deformation and loss in jet clustering are one of the major limitations for precisely measuring hadronic events at future $e^-e^+$ colliders. Because of their dominance in data, the measurements of such events are crucial for advancing the precision frontier of Higgs and electroweak physics in the next decades. We show that this difficulty can be well-addressed by synergizing the event-level information into the data analysis, with the techniques of deep neutral network. In relation to this, we introduce a CMB-like observable scheme, where the event-level kinematics is encoded as Fox-Wolfram (FW) moments at leading order and multi-spectra at higher orders. Then we develop a series of jet-level (w/ and w/o the FW moments) and event-level classifiers, and analyze their sensitivity performance comparatively with two-jet and four-jet events. As an application, we analyze measuring Higgs decay width at $e^-e^+$ colliders with the data of 5ab$^{-1}@$240GeV. The precision obtained is significantly better than the baseline ones presented in documents. We expect this strategy to be applied to many other hadronic-event measurements at future $e^-e^+$ colliders, and to open a new angle for evaluating their physics capability." @default.
- W3089597632 created "2020-10-08" @default.
- W3089597632 creator A5036924374 @default.
- W3089597632 creator A5052503561 @default.
- W3089597632 creator A5079286679 @default.
- W3089597632 creator A5085698762 @default.
- W3089597632 date "2020-10-01" @default.
- W3089597632 modified "2023-10-05" @default.
- W3089597632 title "Learning physics at future e−e+ colliders with machine" @default.
- W3089597632 cites W1506247448 @default.
- W3089597632 cites W1605768993 @default.
- W3089597632 cites W1966689334 @default.
- W3089597632 cites W1980449170 @default.
- W3089597632 cites W1982448801 @default.
- W3089597632 cites W1984074704 @default.
- W3089597632 cites W1984860992 @default.
- W3089597632 cites W1987435915 @default.
- W3089597632 cites W2019436484 @default.
- W3089597632 cites W2025343454 @default.
- W3089597632 cites W2042180578 @default.
- W3089597632 cites W2065760442 @default.
- W3089597632 cites W2079756534 @default.
- W3089597632 cites W2108306102 @default.
- W3089597632 cites W2113699767 @default.
- W3089597632 cites W2122319093 @default.
- W3089597632 cites W2163097950 @default.
- W3089597632 cites W2170041132 @default.
- W3089597632 cites W2172181746 @default.
- W3089597632 cites W2232314858 @default.
- W3089597632 cites W2274019820 @default.
- W3089597632 cites W2432425934 @default.
- W3089597632 cites W2491766731 @default.
- W3089597632 cites W2527177583 @default.
- W3089597632 cites W2550644354 @default.
- W3089597632 cites W2586555632 @default.
- W3089597632 cites W2741476055 @default.
- W3089597632 cites W2750661577 @default.
- W3089597632 cites W2755566271 @default.
- W3089597632 cites W2769066822 @default.
- W3089597632 cites W2852068008 @default.
- W3089597632 cites W2887315702 @default.
- W3089597632 cites W2887591299 @default.
- W3089597632 cites W2896572957 @default.
- W3089597632 cites W2896693058 @default.
- W3089597632 cites W2896926623 @default.
- W3089597632 cites W2908715903 @default.
- W3089597632 cites W2911493468 @default.
- W3089597632 cites W2914199533 @default.
- W3089597632 cites W2915621743 @default.
- W3089597632 cites W2922800887 @default.
- W3089597632 cites W2938291043 @default.
- W3089597632 cites W2946595836 @default.
- W3089597632 cites W2967177183 @default.
- W3089597632 cites W2969916257 @default.
- W3089597632 cites W2981573899 @default.
- W3089597632 cites W3080256108 @default.
- W3089597632 cites W3098380050 @default.
- W3089597632 cites W3099190102 @default.
- W3089597632 cites W3099365529 @default.
- W3089597632 cites W3099947826 @default.
- W3089597632 cites W3101164173 @default.
- W3089597632 cites W3101501459 @default.
- W3089597632 cites W3102108472 @default.
- W3089597632 cites W3102190975 @default.
- W3089597632 cites W3102863431 @default.
- W3089597632 cites W3103784945 @default.
- W3089597632 cites W3104561293 @default.
- W3089597632 cites W3104674222 @default.
- W3089597632 cites W3105797459 @default.
- W3089597632 cites W3106478437 @default.
- W3089597632 cites W3121614399 @default.
- W3089597632 cites W3121642222 @default.
- W3089597632 cites W3122543598 @default.
- W3089597632 doi "https://doi.org/10.1007/jhep10(2020)018" @default.
- W3089597632 hasPublicationYear "2020" @default.
- W3089597632 type Work @default.
- W3089597632 sameAs 3089597632 @default.
- W3089597632 citedByCount "4" @default.
- W3089597632 countsByYear W30895976322021 @default.
- W3089597632 countsByYear W30895976322022 @default.
- W3089597632 crossrefType "journal-article" @default.
- W3089597632 hasAuthorship W3089597632A5036924374 @default.
- W3089597632 hasAuthorship W3089597632A5052503561 @default.
- W3089597632 hasAuthorship W3089597632A5079286679 @default.
- W3089597632 hasAuthorship W3089597632A5085698762 @default.
- W3089597632 hasBestOaLocation W30895976321 @default.
- W3089597632 hasConcept C109214941 @default.
- W3089597632 hasConcept C119947313 @default.
- W3089597632 hasConcept C121332964 @default.
- W3089597632 hasConcept C127413603 @default.
- W3089597632 hasConcept C133731056 @default.
- W3089597632 hasConcept C158129726 @default.
- W3089597632 hasConcept C17863212 @default.
- W3089597632 hasConcept C184748400 @default.
- W3089597632 hasConcept C19694890 @default.
- W3089597632 hasConcept C205606062 @default.
- W3089597632 hasConcept C2779662365 @default.
- W3089597632 hasConcept C32848918 @default.
- W3089597632 hasConcept C44870925 @default.
- W3089597632 hasConcept C62520636 @default.