Fitting Parton Distribution Data with Multiplicative Normalization Uncertainties

The NNPDF Collaboration; Richard D. Ball; Luigi Del Debbio; Stefano Forte; Alberto Guffanti; Jose I. Latorre; Juan Rojo; Maria Ubiali

doi:10.1007/JHEP05(2010)075

Fitting Parton Distribution Data with Multiplicative Normalization Uncertainties

The NNPDF Collaboration, Richard D. Ball, Luigi Del Debbio, Stefano Forte, Alberto Guffanti, Jose I. Latorre, Juan Rojo, Maria Ubiali

(Astro)-Particles Physics

Research output: Contribution to Journal › Article › Academic › peer-review

238 Downloads (Pure)

Abstract

We consider the generic problem of performing a global fit to many independent data sets each with a different overall multiplicative normalization uncertainty. We show that the methods in common use to treat multiplicative uncertainties lead to systematic biases. We develop a method which is unbiased, based on a self--consistent iterative procedure. We demonstrate the use of this method by applying it to the determination of parton distribution functions with the NNPDF methodology, which uses a Monte Carlo method for uncertainty estimation.

Original language	English
Journal	Journal of High Energy Physics
Volume	75
DOIs	https://doi.org/10.1007/JHEP05(2010)075
Publication status	Published - 11 Dec 2009

Bibliographical note

33 pages, 5 figures: published version

Keywords

hep-ph
hep-ex
physics.data-an

Access to Document

10.1007/JHEP05(2010)075

pdf

Persistent URL (handle)

Copy link address

Cite this

@article{eed4aaec45ed4ee3b62c50a9d54d3581,

title = "Fitting Parton Distribution Data with Multiplicative Normalization Uncertainties",

abstract = "We consider the generic problem of performing a global fit to many independent data sets each with a different overall multiplicative normalization uncertainty. We show that the methods in common use to treat multiplicative uncertainties lead to systematic biases. We develop a method which is unbiased, based on a self--consistent iterative procedure. We demonstrate the use of this method by applying it to the determination of parton distribution functions with the NNPDF methodology, which uses a Monte Carlo method for uncertainty estimation.",

keywords = "hep-ph, hep-ex, physics.data-an",

author = "Collaboration, {The NNPDF} and Ball, {Richard D.} and Debbio, {Luigi Del} and Stefano Forte and Alberto Guffanti and Latorre, {Jose I.} and Juan Rojo and Maria Ubiali",

note = "33 pages, 5 figures: published version",

year = "2009",

month = dec,

day = "11",

doi = "10.1007/JHEP05(2010)075",

language = "English",

volume = "75",

journal = "Journal of High Energy Physics",

issn = "1126-6708",

publisher = "Springer Verlag",

}

TY - JOUR

T1 - Fitting Parton Distribution Data with Multiplicative Normalization Uncertainties

AU - Collaboration, The NNPDF

AU - Ball, Richard D.

AU - Debbio, Luigi Del

AU - Forte, Stefano

AU - Guffanti, Alberto

AU - Latorre, Jose I.

AU - Rojo, Juan

AU - Ubiali, Maria

N1 - 33 pages, 5 figures: published version

PY - 2009/12/11

Y1 - 2009/12/11

N2 - We consider the generic problem of performing a global fit to many independent data sets each with a different overall multiplicative normalization uncertainty. We show that the methods in common use to treat multiplicative uncertainties lead to systematic biases. We develop a method which is unbiased, based on a self--consistent iterative procedure. We demonstrate the use of this method by applying it to the determination of parton distribution functions with the NNPDF methodology, which uses a Monte Carlo method for uncertainty estimation.

AB - We consider the generic problem of performing a global fit to many independent data sets each with a different overall multiplicative normalization uncertainty. We show that the methods in common use to treat multiplicative uncertainties lead to systematic biases. We develop a method which is unbiased, based on a self--consistent iterative procedure. We demonstrate the use of this method by applying it to the determination of parton distribution functions with the NNPDF methodology, which uses a Monte Carlo method for uncertainty estimation.

KW - hep-ph

KW - hep-ex

KW - physics.data-an

U2 - 10.1007/JHEP05(2010)075

DO - 10.1007/JHEP05(2010)075

M3 - Article

SN - 1126-6708

VL - 75

JO - Journal of High Energy Physics

JF - Journal of High Energy Physics

ER -

Fitting Parton Distribution Data with Multiplicative Normalization Uncertainties

Abstract

Bibliographical note

Keywords

Access to Document

Persistent URL (handle)

Fingerprint

Cite this