Publication

First observation of the decay B-c(+) -> J/psi K+

Abstract

The decay B-c(+) -> J/psi K+ is observed for the first time using a data sample, corresponding to an integrated luminosity of 1.0 fb(-1), collected by the LHCb experiment in p p collisions at a centre-of-mass energy of 7 TeV. A yield of 46 +/- 12 events is reported, with a significance of 5.0 standard deviations. The ratio of the branching fraction of B-c(+) -> J/psi K+ to that of B-c(+) -> J/psi pi(+) is measured to be 0.069 +/- 0.019 +/- 0 : 005, where the first uncertainty is statistical and the second is systematic.

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Abstract

Official source

Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Related concepts (32)

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion of a set of values. A low standard deviation indicates that the values tend to be close to the mean (also called the expected value) of the set, while a high standard deviation indicates that the values are spread out over a wider range. Standard deviation may be abbreviated SD, and is most commonly represented in mathematical texts and equations by the lower case Greek letter σ (sigma), for the population standard deviation, or the Latin letter s, for the sample standard deviation.

Average absolute deviation

The average absolute deviation (AAD) of a data set is the average of the absolute deviations from a central point. It is a summary statistic of statistical dispersion or variability. In the general form, the central point can be a mean, median, mode, or the result of any other measure of central tendency or any reference value related to the given data set. AAD includes the mean absolute deviation and the median absolute deviation (both abbreviated as MAD). Several measures of statistical dispersion are defined in terms of the absolute deviation.

Standard error

The standard error (SE) of a statistic (usually an estimate of a parameter) is the standard deviation of its sampling distribution or an estimate of that standard deviation. If the statistic is the sample mean, it is called the standard error of the mean (SEM). The sampling distribution of a mean is generated by repeated sampling from the same population and recording of the sample means obtained. This forms a distribution of different means, and this distribution has its own mean and variance.

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