Construct · 2 fields · 3 citations
One name. Different field. Different construct. One map.
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In particle and nuclear physics, a cross section is an effective area that quantifies how likely a scattering or reaction event is when two particles meet, reported in barns, where one barn equals 10 to the power minus 28 square metres. Rutherford's 1911 analysis of how alpha particles are deflected by atoms produced the formula for that probability and is the origin of the scattering cross section that carries his name. The referent is a probability written as an area, fixed by the physics of the interaction, not a physical slice through tissue and not a table of data collected at one time.[1]
In econometrics and statistics, cross-sectional data means observations of many separate units, such as people, households, firms, or countries, all recorded at a single point in time, in contrast with time-series data, which follows one unit over many periods, and panel data, which follows many units over many periods. Wooldridge's 2010 Econometric Analysis of Cross Section and Panel Data and Gujarati and Porter's 2009 Basic Econometrics set out how such data are structured and analysed across units. The referent is the time structure of a dataset, a snapshot taken across units at one moment, not a plane cut through tissue and not an effective area measuring how particles interact.[2][3]
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