scholarly journals Decay properties of b-hadrons with the ATLAS experiment

2016 ◽  
Vol 273-275 ◽  
pp. 1404-1410
Author(s):  
Leonid Gladilin
2005 ◽  
Vol 20 (22) ◽  
pp. 5214-5223
Author(s):  
◽  
DONATELLA LUCCHESI

The latest results for QCD and Heavy flavor at the Tevatron are summarized. The most recent results on Jet physics are discussed in the light of searching for new physics and to study the contribution of soft interactions to the hard process. The production of c and b-hadrons and the their decay properties can be precisely measured at the Tevatron. Lifetimes, branching fractions and CP asymmetries for several decay modes are discussed. In particular the prospects for Bsmixing at the Tevatron are presented.


2020 ◽  
Vol 30 (10) ◽  
pp. 5544-5559 ◽  
Author(s):  
Jonathan D Power ◽  
Charles J Lynch ◽  
Babatunde Adeyemo ◽  
Steven E Petersen

Abstract This article advances two parallel lines of argument about resting-state functional magnetic resonance imaging (fMRI) signals, one empirical and one conceptual. The empirical line creates a four-part organization of the text: (1) head motion and respiration commonly cause distinct, major, unwanted influences (artifacts) in fMRI signals; (2) head motion and respiratory changes are, confoundingly, both related to psychological and clinical and biological variables of interest; (3) many fMRI denoising strategies fail to identify and remove one or the other kind of artifact; and (4) unremoved artifact, due to correlations of artifacts with variables of interest, renders studies susceptible to identifying variance of noninterest as variance of interest. Arising from these empirical observations is a conceptual argument: that an event-related approach to task-free scans, targeting common behaviors during scanning, enables fundamental distinctions among the kinds of signals present in the data, information which is vital to understanding the effects of denoising procedures. This event-related perspective permits statements like “Event X is associated with signals A, B, and C, each with particular spatial, temporal, and signal decay properties”. Denoising approaches can then be tailored, via performance in known events, to permit or suppress certain kinds of signals based on their desirability.


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