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 File              : README.md
 Author            : Anton Riedel <[email protected]>
 Date              : 14.09.2021
 Last Modified Date: 14.09.2021
 Last Modified By  : Anton Riedel <[email protected]>

Data Validation

DefaultCuts

Validation of default cuts and correlation cuts in centrality 0-80%.

DefaultCuts_Binned

Validation that the default get rid of high multitiplicity outliers in the single centrality bins.

Trending

Validation that observables are stable run by run and that azimuthal angle and centrality distributions are (mostly) flat.

MultiplicityWeights

Show that the choosen multiplicity weights are valid by computing correlators with a fixed multiplicity event by event.

KinematicWeights

Compute kinematic weights using Monte Carlo data and validate them.

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data validation using run 000137161

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