Publication

Search for the 0(--) glueball in Upsilon(1S) and Upsilon(2S) decays

Olivier Schneider, Yiming Li, Mingkui Wang, Chao Wang, Tagir Aushev, Sun Hee Kim, Tara Nanut, Jun Yong Kim, Ji Hyun Kim, Donghyun Kim, Dipanwita Dutta
2017
Journal paper

Abstract

We report the first search for the J(PC) = 0(--) glueball in Upsilon(1S) and Upsilon(2S) decays with data samples of (102 +/- 2) x 10(6) and (158 +/- 4) x 10(6) events, respectively, collected with the Belle detector. No significant signals are observed in any of the proposed production modes, and the 90% credibility level upper limits on their branching fractions in Upsilon(1S) and Upsilon(2S) decays are obtained. The inclusive branching fractions of the Upsilon(1S) and Upsilon(2S) decays into final states with chi(c1) are measured to be B(Upsilon(1S) -> chi(c1) + anything) = (1.90 +/- 0.43(stat) +/- 0.14(syst) x 10(-4) with an improved precision over prior measurements and B Upsilon(2S) -> chi(c1) + anything) = (2.24 +/- 0.44(stat) +/- 0.20(syst) x 10(-4) for the first time.

Official source

https://infoscience.epfl.ch/record/225834?ln=en

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Statistics

Data collection: Statistical sampling

Related concepts (16)

Sampling (statistics)

In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population. Statisticians attempt to collect samples that are representative of the population. Sampling has lower costs and faster data collection compared to recording data from the entire population, and thus, it can provide insights in cases where it is infeasible to measure an entire population.

Stratified sampling

In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations. In statistical surveys, when subpopulations within an overall population vary, it could be advantageous to sample each subpopulation (stratum) independently. Stratification is the process of dividing members of the population into homogeneous subgroups before sampling. The strata should define a partition of the population.

Simple random sample

In statistics, a simple random sample (or SRS) is a subset of individuals (a sample) chosen from a larger set (a population) in which a subset of individuals are chosen randomly, all with the same probability. It is a process of selecting a sample in a random way. In SRS, each subset of k individuals has the same probability of being chosen for the sample as any other subset of k individuals. A simple random sample is an unbiased sampling technique. Simple random sampling is a basic type of sampling and can be a component of other more complex sampling methods.

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