New method for reducing parton distribution function uncertainties in the high-mass Drell-Yan spectrum
Abstract
Uncertainties in the parametrization of Parton Distribution Functions (PDFs) are becoming a serious limiting systematic uncertainty in Large Hadron Collider (LHC) searches for Beyond the Standard Model physics. This is especially true for measurements at high scales induced by quark and anti-quark collisions, where Drell-Yan continuum backgrounds are dominant. Tools are recently available which enable exploration of PDF fitting strategies and emulate the effects of new data in a future global fit. ePump is such a tool and it is shown that judicious selection of measurable kinematical quantities can reduce the assigned systematic PDF uncertainties by significant factors. This will be made possible by the huge statistical precision of future LHC Standard Model datasets.
- Authors:
- Publication Date:
- Research Org.:
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- OSTI Identifier:
- 1498593
- Alternate Identifier(s):
- OSTI ID: 1484470
- Report Number(s):
- arXiv:1809.09481; MSUHEP-18-015; FERMILAB-PUB-18-389-PPD
Journal ID: ISSN 2470-0010; PRVDAQ; 054004
- Grant/Contract Number:
- AC02-07CH11359; PHY-1719914; PHY-1707812
- Resource Type:
- Published Article
- Journal Name:
- Physical Review D
- Additional Journal Information:
- Journal Name: Physical Review D Journal Volume: 99 Journal Issue: 5; Journal ID: ISSN 2470-0010
- Publisher:
- American Physical Society (APS)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
Citation Formats
Willis, C. G., Brock, R., Hayden, D., Hou, T. -J., Isaacson, J., Schmidt, C., and Yuan, C. -P. New method for reducing parton distribution function uncertainties in the high-mass Drell-Yan spectrum. United States: N. p., 2019.
Web. doi:10.1103/PhysRevD.99.054004.
Willis, C. G., Brock, R., Hayden, D., Hou, T. -J., Isaacson, J., Schmidt, C., & Yuan, C. -P. New method for reducing parton distribution function uncertainties in the high-mass Drell-Yan spectrum. United States. https://doi.org/10.1103/PhysRevD.99.054004
Willis, C. G., Brock, R., Hayden, D., Hou, T. -J., Isaacson, J., Schmidt, C., and Yuan, C. -P. Fri .
"New method for reducing parton distribution function uncertainties in the high-mass Drell-Yan spectrum". United States. https://doi.org/10.1103/PhysRevD.99.054004.
@article{osti_1498593,
title = {New method for reducing parton distribution function uncertainties in the high-mass Drell-Yan spectrum},
author = {Willis, C. G. and Brock, R. and Hayden, D. and Hou, T. -J. and Isaacson, J. and Schmidt, C. and Yuan, C. -P.},
abstractNote = {Uncertainties in the parametrization of Parton Distribution Functions (PDFs) are becoming a serious limiting systematic uncertainty in Large Hadron Collider (LHC) searches for Beyond the Standard Model physics. This is especially true for measurements at high scales induced by quark and anti-quark collisions, where Drell-Yan continuum backgrounds are dominant. Tools are recently available which enable exploration of PDF fitting strategies and emulate the effects of new data in a future global fit. ePump is such a tool and it is shown that judicious selection of measurable kinematical quantities can reduce the assigned systematic PDF uncertainties by significant factors. This will be made possible by the huge statistical precision of future LHC Standard Model datasets.},
doi = {10.1103/PhysRevD.99.054004},
journal = {Physical Review D},
number = 5,
volume = 99,
place = {United States},
year = {Fri Mar 08 00:00:00 EST 2019},
month = {Fri Mar 08 00:00:00 EST 2019}
}
https://doi.org/10.1103/PhysRevD.99.054004
Web of Science
Figures / Tables:
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