Threshold resummation in direct photon production
Nobuo Sato
Florida State University In collaboration with:
- J. Owens
- D. Westmark
Threshold resummation in direct photon production Nobuo Sato - - PowerPoint PPT Presentation
Threshold resummation in direct photon production Nobuo Sato Florida State University In collaboration with: J. Owens D. Westmark Motivation: Parton distribution functions (PDFs) - essential ingredients for hadron colliders. PDFs
◮ Parton distribution functions (PDFs) - essential ingredients for
◮ PDFs cannot be computed from first principles - extracted from
◮ The uncertainties in the fitted PDFs are different among the parton
◮ In particular, gluon distribution is highly unconstrained at large x! ◮ Production of a state with mass m and rapidity y probes PDFs at
◮ In the past, the data was used to constrain gluon PDF at large
◮ It was removed from global fittings due to inconsistencies between
10−2 10−1 1 2 3 4 5 6
data/theory(NLO)
0.2 0.4 0.6
WA70 √s = 23.0GeV pp CDF √s = 1800.0GeV p¯ p D0 √s = 1960.0GeV p¯ p E706 √s = 31.5GeV pp E706 √s = 38.7GeV pp PHENIX √s = 200.0GeV pp R110 √s = 63.0GeV pp R806 √s = 63.0GeV pp R807 √s = 63.0GeV pp UA6 √s = 24.3GeV pp UA6 √s = 24.3GeV p¯ p
◮ Catani, Mangano, Nason, Oleari, Vogelsang, hep-ph/9903436
◮ de Florian, Vogelsang, hep-ph/0506150
T
◮ Direct contribution: Dγ/γ = δ(1 − z) ◮ Jet fragmentation: Dγ/c ∼ αem/αS
T
sL4
sL3
sL2
sL
s L2n
s L2n−1
s L2n−2
T ) “Threshold logs” ◮ Resummation: technique to find the exponential representation of
T
x2
T
x2 T xa
xT √xaxb
T
T )
xT z√xaxb = [xT , 1]
◮ Threshold logs are more relevant for fixed target experiments. ◮ Due to trigger bias effect z → 1 which leads to enhancement of
4.0 4.5 5.0 5.5 6.0 6.5 7.0
0.0 0.2 0.4 0.6 0.8 1.0
direct direct+fragment fragment direct+fragment
◮ Resummation is performed in “mellin space”:
c−i∞
◮ The invariant cross section in N-space:
T
◮ The resummed partonic cross section in N-space is given by:
N∆b N∆c NJd N
i,N
4.0 4.5 5.0 5.5 6.0 6.5 7.0
10−2 10−1 100 101 102
23.0 23.75 24.3 24.3 31.5 31.5 38.7 38.7 63.0 63.0 63.0 200.0 546.0 630.0 630.0 630.0 1800.0 1960.0 630.0 1800.0 1960.0 7000.0 7000.0 5 10 15 20 25
DOF
DOF vs
23.0 23.75 24.3 24.3 31.5 31.5 38.7 38.7 63.0 63.0 63.0 200.0 546.0 630.0 630.0 630.0 1800.0 1960.0 630.0 1800.0 1960.0 7000.0 7000.0 5 10 15 20 25
DOF
DOF vs
23.0 23.75 24.3 24.3 31.5 31.5 38.7 38.7 63.0 63.0 63.0 200.0 546.0 630.0 630.0 630.0 1800.0 1960.0 630.0 1800.0 1960.0 7000.0 7000.0 5 10 15 20 25
DOF
DOF vs
23.0 23.75 24.3 24.3 31.5 31.5 38.7 38.7 63.0 63.0 63.0 200.0 546.0 630.0 630.0 630.0 1800.0 1960.0 630.0 1800.0 1960.0 7000.0 7000.0 1 2 3 4 5 6
23.0 23.75 24.3 24.3 31.5 31.5 38.7 38.7 63.0 63.0 63.0 200.0 546.0 630.0 630.0 630.0 1800.0 1960.0 630.0 1800.0 1960.0 7000.0 7000.0 1 2 3 4 5 6
23.0 23.75 24.3 24.3 31.5 31.5 38.7 38.7 63.0 63.0 63.0 200.0 546.0 630.0 630.0 630.0 1800.0 1960.0 630.0 1800.0 1960.0 7000.0 7000.0 1 2 3 4 5 6
◮ Bayesian reweighting technique. Watt and Thorne (1205.4024),
◮ The idea:
◮ Compute cross section for the available data sets using an ensemble
◮ Compute the χ2
DOF(k) of the combined data sets for each member
◮ Compute weights as:
2 χ2 DOF(k)
2 χ2 DOF(k)
◮ The new constrained PDFs and its uncertainty can be written as:
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
0.6 0.8 1.0 1.2 1.4
◮ High-x PDFs important for production of a state with mass m at
◮ Threshold resummation improves the theoretical prediction of direct
◮ Constrain PDFs with threshold resummation in DIS and lepton-pair
◮ Compare our results with SCET calculations by Becher and Schwarts