Recent developments in POWHEG

Recent developments in POWHEG

Paolo Nason 
INFN, Sez. di Milano Bicocca
E-mail: Paolo.Nason@mib.infn.it
Speaker.
Abstract

I review recent developments in POWHEG, a method for interfacing parton-shower generators with NLO QCD computations. I illustrate recent progress in understanding several features of the method, and in clarifying similarity and differences with respect to MC@NLO. Furthermore, I briefly describe a recently introduced framework, the POWHEG BOX, that allows the automatic POWHEG implementation of any given NLO calculation, and has been recently applied to production and to Higgs production via vector–boson fusion.

Recent developments in POWHEG

 

Paolo Nasonthanks: Speaker.

INFN, Sez. di Milano Bicocca

E-mail: Paolo.Nason@mib.infn.it

\abstract@cs

RADCOR 2009 - 9th International Symposium on Radiative Corrections (Applications of Quantum Field Theory to Phenomenology) , October 25 - 30 2009 Ascona, Switzerland

The POWHEG method is a prescription for interfacing NLO calculations with parton shower generators. It was first suggested in ref. [1], and was described in great detail in ref. [2]. Until now, the POWHEG method has been applied to pair hadroproduction [3], heavy-flavour production [4], annihilation into hadrons [5] and into top pairs [6], Drell-Yan vector boson production [7, 8], production [9], Higgs boson production via gluon fusion [10, 11], Higgs boson production associated with a vector boson (Higgs-strahlung) [11], single-top production [12]  jet production [13], and, very recently, Higgs production in vector boson fusion [21]. Unlike MC@NLO [14], POWHEG produces events with positive (constant) weight, and, furthermore, does not depend on the subsequent shower Monte Carlo program. It can be easily interfaced to any modern shower generators and, in fact, it has been interfaced to HERWIG [15, 16] and PYTHIA [17] in refs. [3, 4, 7, 10, 12].

1 The concept

The basic concept of POWHEG is better clarified by considering a process with a single massless coloured parton involved (one can consider, for example, semileptonic top decay, neglecting the mass). In a shower Monte Carlo, the radiation of a final state light parton is generated with an algorithm that resums all leading log corrections to the Born process. The hardest emission in a shower Monte Carlo is generated according to the formula [1]

(1.0)

where is the radiation transverse momentum, is the minimum allowed value for (typically of the order of a hadronic scale), is the Born differential cross section, and is the real radiation differential cross section in the Monte Carlo (MC from now on) approximation. It is assumed that the full phase space including radiation is parametrized in term of the Born phase space and the radiation phase space , i.e. . In typical MC’s, the radiation phase space is determined by three variables characterizing the collinear splitting process, like, for example, the splitting angle, the momentum fraction and the azimuth. The radiation transverse momentum is a function of and . It can be defined as the momentum component of the radiated parton orthogonal to the momentum of the radiating parton. The MC Sudakov form factor

(1.0)

represents the probability for not having radiation harder than .

The basic idea in POWHEG is to improve formula (1) in such a way that NLO accuracy is reached. One replaces formula (1) with the following one

(1.0)

where is the full phase space, with , and is the exact radiation cross section. We require that in the soft and collinear limit, and that , so that the last contribution in the square bracket of eq. (1) is non-negative. The choice is also possible, and it is quite common. We have also defined

(1.0)

where is the virtual NLO correction to the Born process. Notice that soft and collinear singularities in cancel against those arising from the integral of in the square bracket of eq. (1). The Sudakov form factor is now

(1.0)

The phase space factorization in the POWHEG formula needs not to match that of any shower Monte Carlo. One only requires that in the soft and collinear limit the full phase space is related to the Born phase space in the correct way, i.e. they are identical in the soft limit once the soft particle is removed, and they are identical in the collinear limit once the collinear particles are merged. The POWHEG formula (1) can be viewed as an improvement of the Monte Carlo formula (1), such that the Born cross section is replaced with an NLO inclusive cross section, and high transverse momentum radiation is corrected so that it becomes exact at large angles. In fact, for large the Sudakov form factor becomes 1, and the POWHEG cross section reduces to

(1.0)

since . At small the POWHEG formula becomes equal to that of a standard shower MC, up to higher order terms. However, since by construction

(1.0)

the POWHEG formula maintains NLO accuracy for integrated (i.e. inclusive) quantities.

Notice that the same formula (1) also describes the radiation of the hardest parton in MC@NLO, provided is identified with the shower Monte Carlo (i.e. HERWIG’s) approximation of the real emission cross section. In fact, in MC@NLO two types of events are generated, called and events. events correspond to the term proportional to . In MC@NLO the corresponding underlying Born kinematics is generated with a probability , while the hardest radiation kinematics is generated by the HERWIG shower algorithm. It was demonstrated in ref. [1] that the hardest radiation in HERWIG corresponds to the factor in square bracket multiplying in eq. (1). The events correspond instead to the term in eq. (1). However, since is now given by the HERWIG shower algorithm, there is no guarantee that the difference should be positive, and this is why negative weighted events are an essential feature of MC@NLO.

The fact that both in MC@NLO and POWHEG the hardest radiation can be described by a similar formula has allowed a better understanding of the agreement and discrepancies between the two approaches. First of all, one understands why most distributions compare very well in the two schemes (see for example [3, 4, 7, 12]), since they are both described by a similar formula. A first area of discrepancy has emerged following the work of ref. [18]. In production, a dip in the rapidity distribution of the hardest jet of MC@NLO was found, that is not present neither in ALPGEN nor in POWHEG. It was shown later [7, 10] that this dip is a feature of MC@NLO that is present in several processes. It is particularly visible in Higgs production, as one can see from fig. 1.

Figure 1: Left: rapidity distribution of the hardest jet relative to the Higgs rapidity. The highest curve at is POWHEGPYTHIA, next is POWHEGHERWIG, then MC@NLO and then HERWIG alone. Right: MC@NLO, with replaced by in the generation of events.

The pure HERWIG result exhibits a dip at zero rapidity. MC@NLO has a similar dip, although relatively less severe. No dip is present in POWHEG. The origin of the dip is easily understood as a consequence of the presence of the dip in pure HERWIG and of formula (1). In fact, for large transverse momenta, formula (1) becomes equal to

(1.0)

The second term is small in a perturbative sense, being of order . However, in the case of Higgs production, where NLO corrections amount to 100%, it is in fact of order 1. Since correspond to the HERWIG approximation to the real cross section, it has a dip that propagates into the MC@NLO cross section. We have checked this explicitly. If this argument is correct, by replacing the cross section with in MC@NLO, the dip should go away. This is in fact shown in fig. 1, on the right plot.

Another important discrepancy is found in the Higgs distribution in the process, displayed in the left plot of fig. 2.

Figure 2: Left: rapidity distribution of the hardest jet relative to the Higgs rapidity. The highest curve at is POWHEGPYTHIA, next is POWHEGHERWIG, then MC@NLO and then HERWIG alone. Right: MC@NLO, with replaced by in the generation of events.

At high the POWHEG and MC@NLO spectra depart sensibly. The origin of this difference can again be understood starting from formula (1). In the POWHEG implementation of Higgs production, the choice was made, so that formula (1) yields

(1.0)

Because of the large Higgs production NLO corrections, the factor, instead of being near 1 is close to 2. Thus NLO corrections amplify the whole spectrum in POWHEG. Of course, we could have chosen a different in order to reduce this effect, but in view of the plot on the right in fig. 2, this choice was maintained, since the spectrum produced in this way is closer to the NNLO result. In MC@NLO this amplification works only for the events, that become negligible at large . Notice that in fig. 2 a mild kink is visible at 80-110 GeV in the MC@NLO curve, signalling the separation of the and dominated regimes.

2 The Powheg Box

In ref. [2], the general formulation of POWHEG for complex processes was given, dealing with all complications having to do with the presence of several massless coloured lines, both in the final and in the initial state. In this case formula (1) should be applied to each radiating line. What a regular shower Monte Carlo does, starting from a Born process, is to let each coloured massless line radiate more light partons. Within POWHEG one does something similar. However, since in this case the radiation cross section is the exact cross section, rather than an Altarelli-Parisi approximation to it, we work the other way around, decomposing the full real cross section into a sum of terms, each of them singular in only one collinear region. We then adopt a different phase space parametrization for each singular region. After this is done, radiation is generated from each collinear region, but only the hardest radiation is retained, and the event is generated according to its kinematics. This procedure reaches a considerable level of complexity, so we decided to implement it in a general way, in order to ease the POWHEG implementation of complex processes. This project, named the POWHEG BOX has been completed [20], and will soon been published. It has been used to reproduce the previous implementation of and single top production. Furthermore, it has been used to implement production [13], and Higgs production in vector boson fusion [21]. This last two processes are the first ones not already present in MC@NLO.

Internally, the POWHEG BOX implements the NLO corrections using the FKS subtraction framework [22, 23]. The author of an NLO calculation, willing to implement it into the POWHEG BOX framework, needs only to supply the following ingredients: a) the Born phase space; b) the list of Born and Real processes in a specified format; c) the Born squared amplitudes , the colour correlated one , and the spin correlated one , for each Born subprocess (these ingredient are typically needed in NLO calculations performed with the subtraction method, and, for example, are generated automatically in the MadDipole package [24]); d) the real squared amplitude, for all relevant partonic processes (this is easily obtained from programs like MadGraph [25]); e) the finite part of the virtual amplitude for all relevant partonic processes, which is the only ingredient that may require dedicated work. The POWHEG BOX does all the rest, including the automatic implementation of the FKS subtractions.

3 Conclusions

Much progress has been achieved in POWHEG in this past year. Several features of the method have been better understood in simple terms, and its comparison with MC@NLO has been considerably clarified. An important step towards automation has been achieved with the construction of the POWHEG BOX. Thanks to this framework, a relatively complex process like VBF Higgs production has been implemented in a very short time. It is our hope that the POWHEG BOX will allow authors of NLO calculations to implement their work in the POWHEG framework with a limited effort.


Acknowledgements
All results presented in this talk have been obtained in collaboration with S. Alioli, C. Oleari and E. Re.

References

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