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Statistical and systematical errors in analyses of separate experimental data sets in high energy physics
Different ways of extracting parameters of interest from combined data sets of separate experiments are investigated accounting for the systematic errors. It is shown, that the frequentist approach may yield larger $\chi^2$ values when compared to the Bayesian approach, where the systematic errors h...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2316155 |
| _version_ | 1780958167472013312 |
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| author | Orava, R. Selyugin, O.V. |
| author_facet | Orava, R. Selyugin, O.V. |
| author_sort | Orava, R. |
| collection | CERN |
| description | Different ways of extracting parameters of interest from combined data sets of separate experiments are investigated accounting for the systematic errors. It is shown, that the frequentist approach may yield larger $\chi^2$ values when compared to the Bayesian approach, where the systematic errors have a Gaussian distributed prior calculated in quadrature. The former leads to a better estimation of the parameters. A maximum-likelihood method, applied to different "gedanken" and real LHC data, is presented. The results allow to choose an optimal approach for obtaining the fit based model parameters. |
| id | cern-2316155 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2018 |
| record_format | invenio |
| spelling | cern-23161552023-03-14T19:21:08Zhttp://cds.cern.ch/record/2316155engOrava, R.Selyugin, O.V.Statistical and systematical errors in analyses of separate experimental data sets in high energy physicsphysics.data-anOther Fields of Physicshep-phParticle Physics - Phenomenologyhep-exParticle Physics - ExperimentDifferent ways of extracting parameters of interest from combined data sets of separate experiments are investigated accounting for the systematic errors. It is shown, that the frequentist approach may yield larger $\chi^2$ values when compared to the Bayesian approach, where the systematic errors have a Gaussian distributed prior calculated in quadrature. The former leads to a better estimation of the parameters. A maximum-likelihood method, applied to different "gedanken" and real LHC data, is presented. The results allow to choose an optimal approach for obtaining the fit based model parameters.arXiv:1804.05201oai:cds.cern.ch:23161552018 |
| spellingShingle | physics.data-an Other Fields of Physics hep-ph Particle Physics - Phenomenology hep-ex Particle Physics - Experiment Orava, R. Selyugin, O.V. Statistical and systematical errors in analyses of separate experimental data sets in high energy physics |
| title | Statistical and systematical errors in analyses of separate experimental data sets in high energy physics |
| title_full | Statistical and systematical errors in analyses of separate experimental data sets in high energy physics |
| title_fullStr | Statistical and systematical errors in analyses of separate experimental data sets in high energy physics |
| title_full_unstemmed | Statistical and systematical errors in analyses of separate experimental data sets in high energy physics |
| title_short | Statistical and systematical errors in analyses of separate experimental data sets in high energy physics |
| title_sort | statistical and systematical errors in analyses of separate experimental data sets in high energy physics |
| topic | physics.data-an Other Fields of Physics hep-ph Particle Physics - Phenomenology hep-ex Particle Physics - Experiment |
| url | http://cds.cern.ch/record/2316155 |
| work_keys_str_mv | AT oravar statisticalandsystematicalerrorsinanalysesofseparateexperimentaldatasetsinhighenergyphysics AT selyuginov statisticalandsystematicalerrorsinanalysesofseparateexperimentaldatasetsinhighenergyphysics |