A standard convention for particle-level Monte Carlo event-variation weights
(2023) In SciPost Physics Core 6(1).- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4cbf967b-409d-4b07-8a2f-d4c2bec8e007
- author
- Bothmann, Enrico
; Buckley, Andy
; Gütschow, Christian
; Prestel, Stefan
LU
; Schönherr, Marek
; Skands, Peter
LU
; Andersen, Jeppe R.
; Bhattacharya, Saptaparna
; Butterworth, Jonathan
; Chahal, Gurpreet Singh
; Corpe, Louie
; Gellersen, Leif
LU
; Gignac, Matthew
; Höche, Stefan
; Kar, Deepak
; Krauss, Frank
; Kretzschmar, Jan
; Lönnblad, Leif
LU
; McFayden, Josh
; Papaefstathiou, Andreas
; Plätzer, Simon
LU
; Schumann, Steffen
; Seymour, Michael H.
; Siegert, Frank
and Siódmok, Andrzej
(Less) - organization
- publishing date
- 2023
- type
- Contribution to journal
- publication status
- published
- subject
- in
- SciPost Physics Core
- volume
- 6
- issue
- 1
- article number
- 007
- publisher
- Institute of Economic Research, Nicolaus Copernicus University
- external identifiers
-
- scopus:85151844808
- ISSN
- 2666-9366
- DOI
- 10.21468/SciPostPhysCore.6.1.007
- language
- English
- LU publication?
- yes
- id
- 4cbf967b-409d-4b07-8a2f-d4c2bec8e007
- date added to LUP
- 2023-07-19 15:14:18
- date last changed
- 2024-04-19 23:43:14
@article{4cbf967b-409d-4b07-8a2f-d4c2bec8e007,
abstract = {{<p>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.</p>}},
author = {{Bothmann, Enrico and Buckley, Andy and Gütschow, Christian and Prestel, Stefan and Schönherr, Marek and Skands, Peter and Andersen, Jeppe R. and Bhattacharya, Saptaparna and Butterworth, Jonathan and Chahal, Gurpreet Singh and Corpe, Louie and Gellersen, Leif and Gignac, Matthew and Höche, Stefan and Kar, Deepak and Krauss, Frank and Kretzschmar, Jan and Lönnblad, Leif and McFayden, Josh and Papaefstathiou, Andreas and Plätzer, Simon and Schumann, Steffen and Seymour, Michael H. and Siegert, Frank and Siódmok, Andrzej}},
issn = {{2666-9366}},
language = {{eng}},
number = {{1}},
publisher = {{Institute of Economic Research, Nicolaus Copernicus University}},
series = {{SciPost Physics Core}},
title = {{A standard convention for particle-level Monte Carlo event-variation weights}},
url = {{http://dx.doi.org/10.21468/SciPostPhysCore.6.1.007}},
doi = {{10.21468/SciPostPhysCore.6.1.007}},
volume = {{6}},
year = {{2023}},
}