PoS - Proceedings of Science
Volume 449 - The European Physical Society Conference on High Energy Physics (EPS-HEP2023) - T09 Higgs Physics
Detecting Heavy Higgs Bosons from Natural SUSY at a 100 TeV Hadron Collider
C. Kao
Full text: pdf
Pre-published on: February 09, 2024
Published on: March 21, 2024
In supersymmetric (SUSY) models with radiatively-driven naturalness (RNS),
the heavier Higgs bosons $H,\ A$ may have TeV-scale masses with the
SUSY conserving $\mu$ parameter in the few hundred GeV range.
Thus, in natural SUSY models there should occur large heavy Higgs boson
branching fractions to electroweakinos, with Higgs boson decays to
higgsino plus gaugino dominating when they are kinematically
accessible. These SUSY decays can open up new avenues for discovery.
We investigate the prospects of discovering heavy neutral Higgs bosons
$H$ and $A$ decaying into light plus heavy chargino pairs which
can yield a four isolated lepton plus missing transverse energy
signature at the LHC and at a future 100~TeV $pp$ collider.
We find that
discovery of heavy Higgs decay to electroweakinos via its $4\ell$
decay mode is very difficult at HL-LHC. For FCC-hh or SPPC, we study
the $H,\ A \to $ SUSY reaction along with dominant physics
backgrounds from the Standard Model and devise suitable selection
requirements to extract a clean signal for FCC-hh or SPPC with
$\sqrt{s}=100$ TeV, assuming an integrated luminosity of 15 $ab^{-1}$.
We find that while a conventional cut-and-count analysis yields a
signal statistical significance greater than $5\sigma$ for
$m_{A,H}\sim 1.1-1.65$ TeV,
a boosted-decision-tree analysis allows for heavy Higgs signal discovery
at FCC-hh or SPPC for $m_{A,H}\sim 1-2$ TeV.
DOI: https://doi.org/10.22323/1.449.0414
How to cite

Metadata are provided both in "article" format (very similar to INSPIRE) as this helps creating very compact bibliographies which can be beneficial to authors and readers, and in "proceeding" format which is more detailed and complete.

Open Access
Creative Commons LicenseCopyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.