Physics:Quantum data analysis/Software and Data Used in This Book
Software and data used in this book refers to the practical ecosystem needed to reproduce particle-physics exercises and examples. The central idea is to keep a clear chain from input events to histograms, tables, plots, selections, uncertainties, and final interpretations. In a real analysis this chain includes public datasets or simulated samples, documented code, versioned configurations, and enough metadata to understand what each event record represents.[1]
Data objects
Particle-physics datasets commonly store reconstructed particles, detector-level objects, generated particles, weights, trigger decisions, and event-level metadata. Analyses reduce these objects into derived variables, selected event samples, histograms, efficiencies, and covariance information.[2]
Reproducibility
Reproducible analysis depends on stable software versions, deterministic event selections, documented correction factors, and clear separation between raw inputs and derived outputs. This is especially important when results are compared with Monte Carlo predictions or combined with other measurements.[1][3]
Learning workflow
For teaching, a useful workflow starts with small event samples and transparent scripts before moving to larger frameworks. The goal is to show how detector-level records become physical statements such as cross sections, particle properties, or exclusion limits.[4]
See also
Table of contents (60 articles)
Index
Full contents
References
- ↑ 1.0 1.1 Brun, Rene; Rademakers, Fons (1997). "ROOT: An object oriented data analysis framework". Nuclear Instruments and Methods in Physics Research A 389 (1-2): 81-86. doi:10.1016/S0168-9002(97)00048-X.
- ↑ Maguire, Eamonn; Heinrich, Lukas; Watt, Graeme (2017). "HEPData: a repository for high energy physics data". Journal of Physics: Conference Series 898: 102006. doi:10.1088/1742-6596/898/10/102006.
- ↑ Buckley, Andy (2013). "Rivet user manual". Computer Physics Communications 184 (12): 2803-2819. doi:10.1016/j.cpc.2013.05.021.
- ↑ Cowan, Glen (1998). Statistical Data Analysis. Oxford University Press. ISBN 978-0-19-850156-5.
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