6,256 research outputs found
Type-III two Higgs doublet model plus a pseudoscalar confronted with , muon and dark matter
In this work, we introduce an extra singlet pseudoscalar into the Type-III
two Higgs doublet model (2HDM) which is supposed to solve a series of problems
in the modern particle-cosmology. With existence of a light pseudoscalar, the
excess measured at CMS and as well as the
anomaly could be simultaneously explained within certain parameter spaces that
can also tolerate the data on the flavor-violating processes
and Higgs decay gained at LHC. Within the same
parameter spaces, the DM relic abundance is well accounted. Moreover, the
recently observed Galactic Center gamma ray excess(GCE) is proposed to realize
through dark matter(DM) pair annihilations, and in this work, the scenario of
the annihilation being mediated by the pseudoscalar is also addressed.Comment: 14 pages, 8 figures, version to appear in NP
A Unified Framework for Causal Inference with Multiple Imputation Using Martingale
Multiple imputation is widely used to handle confounders missing at random in
causal inference. Although Rubin's combining rule is simple, it is not clear
whether or not the standard multiple imputation inference is consistent when
coupled with the commonly-used average causal effect (ACE) estimators. This
article establishes a unified martingale representation for the average causal
effect (ACE) estimators after multiple imputation. This representation invokes
the wild bootstrap inference to provide consistent variance estimation. Our
framework applies to asymptotically normal ACE estimators, including the
regression imputation, weighting, and matching estimators. We extend to the
scenarios when both outcome and confounders are subject to missingness and when
the data are missing not at random
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