RT Journal Article
T1 PDF reweighting in the Hessian matrix approach
A1 Paukkunen, Hannu
A1 Zurita, María Pía
K1 Statistical methods
K1 Parton model
K1 QCD
AB We introduce the Hessian reweighting of parton distribution functions (PDFs).Similarly to the better-known Bayesian methods, its purpose is to address the compatibil-ity of new data and the quantitative modifications they induce within an existing set ofPDFs. By construction, the method discussed here applies to the PDF fits that carriedout a Hessian error analysis using a non-zero tolerance   2. The principle is validated byconsidering a simple, transparent example. We are also able to establish an agreement withthe Bayesian technique provided that the tolerance criterion is appropriately accounted forand that a purely exponential Bayesian likelihood is assumed. As a practical example, wediscuss the inclusive jet production at the LHC
PB Springer
SN 1029-8479
YR 2014
FD 2014
LK http://hdl.handle.net/10347/21461
UL http://hdl.handle.net/10347/21461
LA eng
NO Paukkunen, H., Zurita, P. PDF reweighting in the Hessian matrix approach. J. High Energ. Phys. 2014, 100 (2014). https://doi.org/10.1007/JHEP12(2014)100
NO During this work H.P. was supported by the Academy– 24 –JHEP12(2014)100of Finland, Project No. 133005. P.Z. was supported by European Research Council grantHotLHC ERC-2011-StG-279579; by Ministerio de Ciencia e Innovaci´on of Spain under theConsolider-Ingenio 2010 Programme CPAN (CSD2007-00042); by Xunta de Galicia; andby FEDER
DS Minerva
RD 27 abr 2026