Search for top s-quark in bottom s-quark production in R-parity violating supersymmetric models with the CMS detector

The discovery of the Higgs boson in 2012 at the CERN's Large Hadron Collider (LHC) by both the ATLAS and the CMS experiments completes the last missing piece of the Standard Model of particle physics. Despite its success to describe the experimental observations in high energy physics, the Standard Model presents several theoretical and experimental issues; for example the problem of the 'naturalness' - the introduction of a fine-tuning in the Higgs boson mass correction calculations. Therefore the Standard Model needs to be extended into a more general model. Among the most popular models, are the supersymmetric models, which introduce a symmetry between fermions and bosons. In the present thesis, we search for a possible manifestation of the Supersymmetry. In particular, we study a model with the R-parity violation (RPV), which allows s-quarks to decay into a pair of the Standard Model quarks. In this model, the lightest top s-quark ~t1 is the lightest supersymmetric particle (LSP) and the bottom s-quark ~b1 is the next-to-lightest supersymmetric particle (NLSP), with their masses ranging from 150GeV to 400GeV, maintaining so the 'naturalness' of the Supersymmetry. In this context, we study the process: pp→ ~b1 ~b1 → ~t1 W- + ~t1 W+ → qq′l-ν ̄+qq′l+ν. The search is performed by analysing 19.6/fb of data collected during the proton-proton collisions at a centre-of-mass energy of 8 TeV by the CMS detector at the LHC in 2012. This search is optimized for small mass splitting between the ~b1 and ~t s-quarks (under 100 GeV), when the leptons in final state have low transverse momenta. The selected events contain two opposite-sign, isolated leptons (electrons or muons) and at least four reconstructed jets. The leptons are used further to discriminate the signal from the Standard Model background, while the jets are used to reconstruct the ~t1 s-quark candidates. The relevant Standard Model background sources in the data are carefully estimated using Monte-Carlo and data driven techniques. A statistical analysis, based on the CLs method, is performed by comparing the reconstructed ~t1 mass distribution obtained with data and simulations. We do not find any excess of events in the data, compared to the Standard Model expectations, and derive 95 % confidence level exclusion limits on the ~b and ~t s-quark masses for various configurations of the RPV coupling values

The "My data organization is as good as yours" fallacy

In neuroimaging, scientists have been using open-source software since the mid-1990's but there existed no consensus on how researchers should systematically organize their data. Typically each lab would structure their dataset in their own way, such that only one/few researcher/s would know how to make sense of them. Moreover, the data could be spread across supports, e.g. in a lab book on a shelf, some Excel file on a laptop, and several hard-drives! Such lack of consensus leads to misunderstandings and time wasted on rearranging data or rewriting scripts expecting certain structure. In 2016, Gorgolewski et al. proposed the "Brain Imaging Data Structure" (BIDS): a framework to solve these issues in an practical and easy-to-adopt way, using open file formats. Since then, BIDS has been broadly adopted by the neuroimaging community and extended to describe several additional modalities and 'data derivatives'. BIDS success can be linked to its being a community effort, addressing clear use cases, solving common end-user problems, and presenting low technical barrier to entry. BIDS effectively provides a simple and intuitive way to organize and describe your neuroimaging/behavioural data. These principles could be extended to other field

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Measurement of the W boson helicity fractions in the decays of top quark pairs to lepton+jets final states produced in pp collisions at sqrt(s) = 8 TeV

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Decomposing transverse momentum balance contributions for quenched jets in PbPb collisions at sqrt(sNN) = 2.76 TeV

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Search for new physics in same-sign dilepton events in proton-proton collisions at sqrt(s) = 13TeV

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