62 research outputs found
Phenomenology of SUSY with scalar sequestering
The defining feature of scalar sequestering is that the MSSM squark and
slepton masses as well as all entries of the scalar Higgs mass matrix vanish at
some high scale. This ultraviolet boundary condition - scalar masses vanish
while gaugino and Higgsino masses are unsuppressed - is independent of the
supersymmetry breaking mediation mechanism. It is the result of renormalization
group scaling from approximately conformal strong dynamics in the hidden
sector. We review the mechanism of scalar sequestering and prove that the same
dynamics which suppresses scalar soft masses and the B_mu term also drives the
Higgs soft masses to -|mu|^2. Thus the supersymmetric contribution to the Higgs
mass matrix from the mu-term is exactly canceled by the soft masses. Scalar
sequestering has two tell-tale predictions for the superpartner spectrum in
addition to the usual gaugino mediation predictions: Higgsinos are much heavier
(mu > TeV) than scalar Higgses (m_A ~ few hundred GeV), and third generation
scalar masses are enhanced because of new positive contributions from Higgs
loops.Comment: 16 pages and 3 figure
Ditau jets in Higgs searches
Understanding and identifying ditau jets -- jets consisting of pairs of tau
particles, can be of crucial importance and may even turn out to be a necessity
if the Higgs boson decays dominantly to new light scalars which, on the other
hand, decay to tau pairs. As often seen in various models of BSM such as in the
NMSSM, Higgs portals etc., the lightness of these new states ensures their
large transverse momenta and, as a consequence, the collinearity of their decay
products. We show that the non-standard signatures of these objects, which can
easily be missed by standard analysis techniques, can be superbly exploited in
an analysis based on subjet observables. When combined with additional
selection strategies, this analysis can even facilitate an early discovery of
the Higgs boson. To be specific, a light Higgs can be found with from of data. We combine all these
observables into a single discriminating likelihood that can be employed toward
the construction of a realistic and standalone ditau tagger.Comment: 9 pages, 9 figures. References added, typos corrected, published
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