Publication

Measurement of the Branching Fraction for the Decay Χcj → p(p)over-barηπ0

2025

Abstract

Using (2712.4 +/- 14.3) x 10(6) psi(3686) events collected by the BESIII detector operating at the BEPCII collider, we present the first observations of the decays chi(cJ) (J = 0, 1, 2) -> p (p) over bar eta pi(0). Their decay branching fractions are determined to be B(chi(c0) -> p (p) over bar eta pi(0)) = (2.42 +/- 0.07 +/- 0.19) x 10(-4), B(chi(c1) -> p (p) over bar eta pi(0)) = (1.95 +/- 0.05 +/- 0.12) x 10(-4), and B(chi(c2) -> p (p) over bar eta pi(0)) = (1.33 +/- 0.05 +/- 0.08) x 10(-4), where the first uncertainties are statistical and the second systematic.

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2025

Abstract

Official source

Related concepts (32)

Branching fraction

In particle physics and nuclear physics, the branching fraction (or branching ratio) for a decay is the fraction of particles which decay by an individual decay mode or with respect to the total number of particles which decay. It applies to either the radioactive decay of atoms or the decay of elementary particles. It is equal to the ratio of the partial decay constant to the overall decay constant. Sometimes a partial half-life is given, but this term is misleading; due to competing modes, it is not true that half of the particles will decay through a particular decay mode after its partial half-life.

Measurement uncertainty

In metrology, measurement uncertainty is the expression of the statistical dispersion of the values attributed to a measured quantity. All measurements are subject to uncertainty and a measurement result is complete only when it is accompanied by a statement of the associated uncertainty, such as the standard deviation. By international agreement, this uncertainty has a probabilistic basis and reflects incomplete knowledge of the quantity value. It is a non-negative parameter.

Statistics

Statistics (from German: Statistik, () "description of a state, a country") is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as "all people living in a country" or "every atom composing a crystal".

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