A standard convention for particle-level Monte Carlo event-variation weights

Enrico Bothmann; Andy Buckley; Christian Gütschow; Stefan Prestel; Marek Schönherr; Peter Skands; Jeppe R. Andersen; Saptaparna Bhattacharya; Jonathan Butterworth; Gurpreet Singh Chahal; Louie Corpe; Leif Gellersen; Matthew Gignac; Stefan Höche; Deepak Kar; Frank Krauss; Jan Kretzschmar; Leif Lönnblad; Josh McFayden; Andreas Papaefstathiou; Simon Plätzer; Steffen Schumann; Michael H. Seymour; Frank Siegert; Andrzej Siódmok

doi:10.21468/SciPostPhysCore.6.1.007

A standard convention for particle-level Monte Carlo event-variation weights

Enrico Bothmann, Andy Buckley, Christian Gütschow, Stefan Prestel, Marek Schönherr, Peter Skands, Jeppe R. Andersen, Saptaparna Bhattacharya, Jonathan Butterworth, Gurpreet Singh Chahal, Louie Corpe, Leif Gellersen, Matthew Gignac, Stefan Höche, Deepak Kar, Frank Krauss, Jan Kretzschmar, Leif Lönnblad, Josh McFayden, Andreas PapaefstathiouSimon Plätzer, Steffen Schumann, Michael H. Seymour, Frank Siegert, Andrzej Siódmok

Particle and nuclear physics

Research output: Contribution to journal › Article › peer-review

Abstract

Streams of event weights in particle-level Monte Carlo event generators are a convenient and immensely CPU-efficient approach to express systematic uncertainties in phenomenology calculations, providing systematic variations on the nominal prediction within a single event sample. But the lack of a common standard for labelling these variation streams across different tools has proven to be a major limitation for event-processing tools and analysers alike. Here we propose a well-defined, extensible community standard for the naming, ordering, and interpretation of weight streams that will serve as the basis for semantically correct parsing and combination of such variations in both theoretical and experimental studies.

Original language	English
Article number	007
Journal	SciPost Physics Core
Volume	6
Issue number	1
DOIs	https://doi.org/10.21468/SciPostPhysCore.6.1.007
Publication status	Published - 2023

Subject classification (UKÄ)

Subatomic Physics

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10.21468/SciPostPhysCore.6.1.007

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Bothmann, E., Buckley, A., Gütschow, C., Prestel, S., Schönherr, M., Skands, P., Andersen, J. R., Bhattacharya, S., Butterworth, J., Chahal, G. S., Corpe, L., Gellersen, L., Gignac, M., Höche, S., Kar, D., Krauss, F., Kretzschmar, J., Lönnblad, L., McFayden, J., ... Siódmok, A. (2023). A standard convention for particle-level Monte Carlo event-variation weights. SciPost Physics Core, 6(1), Article 007. https://doi.org/10.21468/SciPostPhysCore.6.1.007

@article{4cbf967b409d4b078a2fd4c2bec8e007,

title = "A standard convention for particle-level Monte Carlo event-variation weights",

abstract = "Streams of event weights in particle-level Monte Carlo event generators are a convenient and immensely CPU-efficient approach to express systematic uncertainties in phenomenology calculations, providing systematic variations on the nominal prediction within a single event sample. But the lack of a common standard for labelling these variation streams across different tools has proven to be a major limitation for event-processing tools and analysers alike. Here we propose a well-defined, extensible community standard for the naming, ordering, and interpretation of weight streams that will serve as the basis for semantically correct parsing and combination of such variations in both theoretical and experimental studies.",

author = "Enrico Bothmann and Andy Buckley and Christian G{\"u}tschow and Stefan Prestel and Marek Sch{\"o}nherr and Peter Skands and Andersen, {Jeppe R.} and Saptaparna Bhattacharya and Jonathan Butterworth and Chahal, {Gurpreet Singh} and Louie Corpe and Leif Gellersen and Matthew Gignac and Stefan H{\"o}che and Deepak Kar and Frank Krauss and Jan Kretzschmar and Leif L{\"o}nnblad and Josh McFayden and Andreas Papaefstathiou and Simon Pl{\"a}tzer and Steffen Schumann and Seymour, {Michael H.} and Frank Siegert and Andrzej Si{\'o}dmok",

year = "2023",

doi = "10.21468/SciPostPhysCore.6.1.007",

language = "English",

volume = "6",

journal = "SciPost Physics Core",

issn = "2666-9366",

publisher = "Institute of Economic Research, Nicolaus Copernicus University",

number = "1",

}

Bothmann, E, Buckley, A, Gütschow, C, Prestel, S, Schönherr, M, Skands, P, Andersen, JR, Bhattacharya, S, Butterworth, J, Chahal, GS, Corpe, L, Gellersen, L, Gignac, M, Höche, S, Kar, D, Krauss, F, Kretzschmar, J, Lönnblad, L, McFayden, J, Papaefstathiou, A, Plätzer, S, Schumann, S, Seymour, MH, Siegert, F & Siódmok, A 2023, 'A standard convention for particle-level Monte Carlo event-variation weights', SciPost Physics Core, vol. 6, no. 1, 007. https://doi.org/10.21468/SciPostPhysCore.6.1.007

TY - JOUR

T1 - A standard convention for particle-level Monte Carlo event-variation weights

AU - Bothmann, Enrico

AU - Buckley, Andy

AU - Gütschow, Christian

AU - Prestel, Stefan

AU - Schönherr, Marek

AU - Skands, Peter

AU - Andersen, Jeppe R.

AU - Bhattacharya, Saptaparna

AU - Butterworth, Jonathan

AU - Chahal, Gurpreet Singh

AU - Corpe, Louie

AU - Gellersen, Leif

AU - Gignac, Matthew

AU - Höche, Stefan

AU - Kar, Deepak

AU - Krauss, Frank

AU - Kretzschmar, Jan

AU - Lönnblad, Leif

AU - McFayden, Josh

AU - Papaefstathiou, Andreas

AU - Plätzer, Simon

AU - Schumann, Steffen

AU - Seymour, Michael H.

AU - Siegert, Frank

AU - Siódmok, Andrzej

PY - 2023

Y1 - 2023

N2 - Streams of event weights in particle-level Monte Carlo event generators are a convenient and immensely CPU-efficient approach to express systematic uncertainties in phenomenology calculations, providing systematic variations on the nominal prediction within a single event sample. But the lack of a common standard for labelling these variation streams across different tools has proven to be a major limitation for event-processing tools and analysers alike. Here we propose a well-defined, extensible community standard for the naming, ordering, and interpretation of weight streams that will serve as the basis for semantically correct parsing and combination of such variations in both theoretical and experimental studies.

AB - Streams of event weights in particle-level Monte Carlo event generators are a convenient and immensely CPU-efficient approach to express systematic uncertainties in phenomenology calculations, providing systematic variations on the nominal prediction within a single event sample. But the lack of a common standard for labelling these variation streams across different tools has proven to be a major limitation for event-processing tools and analysers alike. Here we propose a well-defined, extensible community standard for the naming, ordering, and interpretation of weight streams that will serve as the basis for semantically correct parsing and combination of such variations in both theoretical and experimental studies.

U2 - 10.21468/SciPostPhysCore.6.1.007

DO - 10.21468/SciPostPhysCore.6.1.007

M3 - Article

AN - SCOPUS:85151844808

SN - 2666-9366

VL - 6

JO - SciPost Physics Core

JF - SciPost Physics Core

IS - 1

M1 - 007

ER -

A standard convention for particle-level Monte Carlo event-variation weights

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