Spontaneous CP-violation in the Simplest Little Higgs Model

We proposed how spontaneous CP-violation can be generated in the simplest little Higgs model in this talk. Comparing with the original paper, both formalism and phenomenology are updated. The model is still alive facing the collider and electric dipole moment (EDM) measurements. Strictest constraint comes from LHC $Z'$ direct search, which leads to $f\gtrsim8~\textrm{TeV}$. Higgs measurements also set strict constraint on the scalar mixing angle, if the Higgs rare decay channel is open. EDM measurements still set weak constraints for this model, even after the recent ACME updated measurement on electron's EDM. In this talk, we also discussed the test of CP-violation in the scalar sector, through the interactions between scalars and gauge bosons.Comment: Talk given at The 39th International Conference on High Energy Physics (ICHEP2018, July 4-11, Seoul, Korea); 4 pages; references and abstract updated; submitted version to Po

A sieve M-theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored data

In many semiparametric models that are parameterized by two types of parameters---a Euclidean parameter of interest and an infinite-dimensional nuisance parameter---the two parameters are bundled together, that is, the nuisance parameter is an unknown function that contains the parameter of interest as part of its argument. For example, in a linear regression model for censored survival data, the unspecified error distribution function involves the regression coefficients. Motivated by developing an efficient estimating method for the regression parameters, we propose a general sieve M-theorem for bundled parameters and apply the theorem to deriving the asymptotic theory for the sieve maximum likelihood estimation in the linear regression model for censored survival data. The numerical implementation of the proposed estimating method can be achieved through the conventional gradient-based search algorithms such as the Newton--Raphson algorithm. We show that the proposed estimator is consistent and asymptotically normal and achieves the semiparametric efficiency bound. Simulation studies demonstrate that the proposed method performs well in practical settings and yields more efficient estimates than existing estimating equation based methods. Illustration with a real data example is also provided.Comment: Published in at http://dx.doi.org/10.1214/11-AOS934 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

Higgs-μ\mu-τ\tau Coupling at High and Low Energy Colliders

There is no tree-level flavor changing neutral current (FCNC) in the standard model (SM) which contains only one Higgs doublet. If more Higgs doublets are introduced for various reasons, the tree level FCNC would be inevitable except extra symmetry was imposed. Therefore FCNC processes are the excellent probes for the physics beyond the SM (BSM). In this paper, we studied the lepton flavor violated (LFV) decay processes $h\rightarrow\mu\tau$ and $\tau\rightarrow\mu\gamma$ induced by Higgs-$\mu$-$\tau$ vertex. For $\tau\rightarrow\mu\gamma$, its branching ratio is also related to the $ht\bar{t}$, $h\tau^+\tau^-$ and $hW^+W^-$ vertices. We categorized the BSM into two scenarios for the Higgs coupling strengths near or away from SM. For the latter scenario, we took the spontaneously broken two Higgs doublet model (Lee model) as an example. We considered the constraints by recent data from LHC and B factories, and found that the measurements gave weak constraints. At LHC Run II, $h\rightarrow\mu\tau$ will be confirmed or set stricter limit on its branching ratio. Accordingly, $\textrm{Br}(\tau\rightarrow\mu\gamma)\lesssim\mathcal{O}(10^{-10}-10^{-8})$ for general chosen parameters. For the positive case, $\tau\rightarrow\mu\gamma$ can be discovered with $\mathcal{O}(10^{10})$ $\tau$ pair samples at SuperB factory, Super $\tau$-charm factory and new Z-factory. The future measurements for $\textrm{Br}(h\rightarrow\mu\tau)$ and $\textrm{Br}(\tau\rightarrow\mu\gamma)$ will be used to distinguish these two scenarios or set strict constraints on the correlations among different Higgs couplings, please see Table II in the text for details.Comment: 18 pages, 10 figures, 2 table; more references added; more discussions about cancellation in the amplitude added accoeding to the referee's suggestion

Modernity, tourism and the geographies of religious change in a Bon region of Tibet

This thesis investigates the processes of religious change in a Tibetan region of China that has experienced relative economic prosperity stemming from a government-led tourism initiative. This research challenges and complements the traditional research on religious change which is based on quantitative analysis and macro-scale statistics and generally lacks in-depth and systemic empirical examination of the reasons and process in diverse (particularly non-western) contexts. It adopts a spatially-sensitive qualitative approach to researching religious change, focusing on both micro- and meso-scales, as well as institutional and non-institutional forms of religion. This research has used a case study approach, focusing on Jiuzhaigou with some contextual comparisons being provided by additional empirical research in nearby Anbei. Ethnographic methods including participant observation and in-depth interview with both laypeople and monks have been adopted for generating in-depth and meaningful data. In specific, it addresses the issues of religious change from three angles to reveal its complexity and nuances. Firstly, it looks at the changing religious landscape with a special focus on the shifting balance between institutional and non-institutional forms of religious expression. It argues that alongside dramatic political, economic, social and cultural changes in contemporary Tibet, religious change presents a shift toward non-institutional expression of religion. Secondly, it explores the changing geographies of the intergenerational transmission of religion by focusing on laypeople and the spaces of home and school. It argues that religious practices and religious belief are not equally and uniformly transmitted intergenerationally. Thirdly, it examines the changing imaginative geographies of religion and religious ‘authenticity’ with a particular focus on monks’ religious identities. It argues that the state othering process actually contributes to Tibetans’ religious and ethnic awareness, by reinforcing Tibetans’ difference from the Han and their ethnic identity, rather than homogenising ethnic minorities

Rural development analysis: direction identification measurement and interpretation for public policy purpose applied to four Tennessee counties

The widespread interest In rural development in recent years has led to programs and activities in rural areas but very limited evidence of success in resolving the problems for which they were designed. The present study presents an approach to identification of the needs of the people living in a rural area, objective measurement of the direction of change and current status of the areas identified as needing improvement, and an indication of the effect on other areas of living of the improvement in any one. Rural development is defined as the improvement of any one or more facets of rural living when there is no concomitant resultant deterioration of other facets. The data base for the study included interviews from a random area sample of rural households in four Tennessee counties plus interviews from a purposely selected group identified as knowledgeables because of positions occupied and their long term residence in the county. In addition secondary data from the censuses of population, agriculture, housing and governments and selected state sources were utilized. Areas were identified as needing improvement if the sample respondents classified them as having gotten worse since 1960 or rated them as only fair or poor in 1972 or if the constructed indicators showed a downward trend. Least squares regression analysis was applied to identify the interactional relationship between each facet and the socio-economic characteristics of rural people. A rate of change matrix was constructed for each county based on the Indicators developed for each facet of the socioeconomic environment and each socioeconomic characteristic of the county residents Included In the study with entries other than zero being made only where significant relationships were found based on the sample survey. From the rate of change matrix the effect of Improvement In any one facet on other facets was determined and Identification made of the trade off and supplementary relationships between facets. The results of the study provide a guide to those concerned with development In the study counties and a procedure which could be followed In any locality. The study also Identified gaps in the data base needed for the construction of useful social Indicators with the most glaring gaps relating to churches and religious involvement. Other data short areas Included Informal social participation, recreation and certain family characteristics such as health condition of family members and specific age structure within the household. Comparison of the four study counties showed differing patterns of trade off and supplementary relations between the various facets of the socioeconomic environment which appeared to be related to the differing degrees of Industrialization In the counties

Estimating Mean Survival Time: When is it Possible?

For right‐censored survival data, it is well‐known that the mean survival time can be consistently estimated when the support of the censoring time contains the support of the survival time. In practice, however, this condition can be easily violated because the follow‐up of a study is usually within a finite window. In this article, we show that the mean survival time is still estimable from a linear model when the support of some covariate(s) with non‐zero coefficient(s) is unbounded regardless of the length of follow‐up. This implies that the mean survival time can be well estimated when the support of linear predictor is wide in practice. The theoretical finding is further verified for finite samples by simulation studies. Simulations also show that, when both models are correctly specified, the linear model yields reasonable mean square prediction errors and outperforms the Cox model, particularly with heavy censoring and short follow‐up time.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/111162/1/sjos12112-sup-0001-documentS1.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/111162/2/sjos12112.pd