English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The recent Fermilab measurement of the muon anomalous magnetic moment yields$4.2 \sigma$ deviations from the SM prediction when combined with the BNL E821experiment results. In the Type-X two Higgs doublet model, we study theconsequence of imposing the observed muon $g-2$, along with the constraintsfrom theoretical stabilities, electroweak oblique parameters, Higgs precisiondata, and direct searches. For a comprehensive study, we scan the wholeparameter space in two scenarios, the normal scenario where $h_{\rm SM} = h$and the inverted scenario where $h_{\rm SM}=H$, where $h$ ($H$) is the light(heavy) CP-even Higgs boson. We found that large $\tan\beta$ (above 100) andlight pseudoscalar mass $M_A$ are required to explain the muon $g-2$ anomaly.This breaks the theoretical stability unless the scalar masses satisfy $M_A^2\simeq M_{H^\pm}^2 \simeq m_{12}^2 \tan\beta \approx M_{H/h}^2$. The directsearch bounds at the LEP and LHC exclude the light $A$ window with $M_A\lesssim 62.5~$GeV. We also show that the observed electron anomalous magneticmoment is consistent with the model prediction, but the lepton flavoruniversality data in the $\tau$ and $Z$ decays are not. For a separateexploration of the model, we propose the golden mode $pp \to A h/AH \to 4 \tau$at the HL-LHC.

Type-X two Higgs doublet model in light of the muon $\mathbf{g-2}$: confronting Higgs and collider data