PDF’s for the LHC: LHC cross section benchmarking and error prescriptions J. Huston Michigan State University MCTP Spring Symposium on Higgs Boson Physics.

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Presentation transcript:

PDF’s for the LHC: LHC cross section benchmarking and error prescriptions J. Huston Michigan State University MCTP Spring Symposium on Higgs Boson Physics

First, a brief introduction The calculation of PDF uncertainties for LHC cross sections is becoming more topical, as LHC exp cross sections themselves are more topical The LHC experiments have gone/are going through exercises tabulating important cross sections and their uncertainties (Jianming has for Higgs) In many cases, the estimates of cross sections and uncertainties from the PDF groups (such as CTEQ, MSTW, NNPDF…) are closer than many people thought A discussion, started at Les Houches, was formalized within the PDF4LHC working group to perform some benchmarking tests to understand the commonalities and differences between the predictions and uncertainties of the different PDF groups First comparisons in meeting (Mar 26) of PDF4LHC see for example, A. Vicini’s talk at the Jan. 29, 2010 PDF4LHC meeting

PDF errors So now, seemingly, we have more consistency (at least in some cases) in the size of PDF errors  NB: MSTW2008 uses a dynamic tolerance for their error determination rather than a fixed  2 of 50  CTEQ6.6 still uses  2 of 100; dynamic in CT10 The eigenvector sets (or NNPDF equivalent) represent the PDF uncertainty due to the experimental errors in the datasets used in the global fitting process To estimate the error on an observable X(a),from the experimental errors, we use the Master Formula where X i + and X i - are the values for the observable X when traversing a distance corresponding to the tolerance T(=sqrt(  2 )) along the i th direction

 s uncertainties Another uncertainty is that due to the variation in the value of  s MSTW has recently tried to better quantify the uncertainty due to the variation of  s, by performing global fits over a finer range, taking into account correlations between the values of  s and the PDF errors Procedure is a bit complex …more recent studies by CTEQ and NNPDF

 s (m Z ) and uncertainty: a complication Different values of  s and of its uncertainty are used CTEQ and NNPDF use the world average (actually for CTEQ and for NNPDF), where MSTW2008 uses 0.120, as determined from their best fit Latest world average (from Siggi Bethke->PDG)   s (m Z ) = / What does the error represent?  Siggi said that only one of the results included in his world average was outside this range  suppose we say that +/ is a reasonable estimate of the uncertainty G. Watt Mar 26 PDF4LHC meeting

 s (m Z ) and uncertainty Could it be possible for all global PDF groups to use the world average value of  s in their fits, plus a prescribed 90% range for its uncertainty (if not 0.002, then perhaps another acceptable value)? After that, world peace For the moment, we try determining uncertainties from  s over a range of +/ from the central value for each PDF group; we also calculate cross sections with a common value of  s =0.119 for comparison purposes

My recommendation to PDF4LHC/Higgs working group Cross sections should be calculated with MSTW2008, CTEQ6.6 and NNPDF Upper range of prediction should be given by upper limit of error prediction using prescription for combining  s uncertainty with error PDFs  in quadrature for CTEQ6.6 and NNPDF  using eigenvector sets for different values of  s for MSTW2008  (my suggestion) as standard, use 90%CL limits Ditto for lower limit So for a Higgs mass of 120 GeV at 14 TeV, the gg cross section lower limit would be defined by the CTEQ6.6 lower limit (PDF+  s error) and the upper limit defined by the MSTW2008 upper limit (PDF+  s error)  with the difference between the central values primarily due to  s To fully understand similarities/differences of cross sections/uncertainties conduct a benchmarking exercise, to which all groups are invited to participate

PDF Benchmarking Exercise 2010 Benchmark processes, all to be calculated (i) at NLO (in MSbar scheme) (ii) in 5-flavour quark schemes (definition of scheme to be specified) (iii) at 7 TeV [ and 14 TeV] LHC (iv) for central value predictions and +-68%cl [and +- 90%cl] pdf uncertainties (v) and with +-  s uncertainties (vi) repeat with  s (m Z )=0.119 (prescription for combining with pdf errors to be specified) Using (where processes available) MCFM 5.7  gzipped version prepared by John Campbell using the specified parameters and exact input files for each process (and the new CTEQ6.6  s series)->thanks John!  sent out on first week of March (and still available to any interested parties)  statistics ok for total cross section comparisons

Cross Sections 1.W +, W -, and Z total cross sections and rapidity distributions total cross section ratios W + /W - and (W + + W - )/Z, rapidity distributions at y = -4,-3,...,+4 and also the W asymmetry: A_W(y) = (dW + /dy - dW - /dy)/(dW + /dy + dW - /dy) using the following parameters taken from PDG 2009  M Z = GeV  M W = GeV  zero width approximation  G F = X GeV -2  other EW couplings derived using tree level relations  BR(Z-->ll) =  BR(W-->lnu) =  CKM mixing parameters from eq.(11.27) of PDG2009 CKM review V_CKM =  scales:  R =  F = M Z or M W

Cross Sections 2. gg->H total cross sections at NLO  M H = 120, 180 and 240 GeV  zero Higgs width approximation, no BR  top loop only, with m top = GeV in sigma_0  scales:  R =  F = M H 3. ttbar total cross section at NLO  m top = GeV  zero top width approximation, no BR  scales:  R =  F = m top

For CTEQ:  s series Take CTEQ6.6 as base, and vary  s (m Z ) +/ (in steps) around central value of Blue is the PDF uncertainty from eigenvectors; green is the uncertainty in the gluon from varying  s We have found that change in gluon due to  s error (+/ range) is typically smaller than PDF uncertainty with a small correlation with PDF uncertainty over this range  as shown for gluon distribution on right PDF error and  s error can be added in quadrature  expected because of small correlation  in recent CTEQ paper, it has been proven this is correct regardless of correlation, within quadratic approximation to  2 distribution So the CTEQ prescription for calculating the total uncertainty (PDF+  s ) involves the use of the 45 CTEQ6.6 PDFs and the two extreme  s error PDF’s (0.116 and 0.120) arXiv: ; PDFs available from LHAPDF

Higgs cross sections and uncertainties Linear dependence of Higgs cross section at NLO with  s can be observed  s and gluon distribution are anti-correlated in this range, but the Higgs cross section has a large K-factor (NLO/LO), so  s dependence from the higher order contribution Predictions are from new CTEQ paper; not exactly the same setup as for MCFM benchmark predictions, so numerical values aren’t identical, but linear  s dependence is clear

Some results from the benchmarking …from G. Watt’s presentation at PDF4LHC meeting on March 26 See also S. Glazov’s summary in the March 31 MC4LHC workshop at CERN CTEQ/MSTW predictions for W cross section/uncertainty in very good agreement  small impact from different  s value  similar uncertainty bands NNPDF prediction low because of use of ZM-VFNS HERAPDF1.0 a bit high because of use of combined HERA dataset

W/Z ratio Good agreement among the PDF groups

Some results from the benchmarking …from G. Watt’s presentation at PDF4LHC meeting on March 26 Similar gluon-gluon luminosity uncertainty bands, as noted before Cross sections fall into two groups, outside 68% CL error bands But, slide everyone’s prediction along the  s curve to (for example) and predictions agree reasonably well  within 68% CL PDF errors

tT production

Two other Higgs masses Of course, for gg->Higgs, we know the NNLO corrections have to be taken into account for precision comparisons This requires NNLO PDFs, but since most of the NNLO correction is from the ME and not the PDFs, one can calculate an approximate NNLO prediction from those sets not yet at NNLO  CTEQ NNLO PDFs currently in development

New from CTEQ-TEA (Tung et al)->CT10 PDFs Combined HERA-1 data CDF and D0 Run-2 inclusive jet data Tevatron Run 2 Z rapidity from CDF and D0 W electron asymmetry from CDFII and D0II (D0 muon asymmetry) (in CT10W) Other data sets same as CTEQ6.6 All data weights set to unity (except for CT10W) Tension observed between D0 II electron asymmetry data and NMC/BCDMS data Tension between D0 II electron and muon asymmetry data Experimental normalizations are treated on same footing as other correlated systematic errors More flexible parametrizations: 26 free parameters (26 eigenvector directions) Dynamic tolerance: look for 90% CL along each eigenvector direction  within the limits of the quadratic approximation, can scale between 68% and 90% CL with naïve scaling factor Two series of PDF’s are introduced  CT10: no Run 2 W asymmetry  CT10W: Run 2 W asymmetry with an extra weight

CT10/CT10W predictions No big changes with respect to CTEQ6.6 See H-L Lai talk at Pheno2010

LO PDFs Workhorse for many predictions at the LHC are still LO PDFs Many LO predictions at the LHC differ significantly from NLO predictions, not because of the matrix elements but because of the PDFs W + rapidity distribution is the poster child  the forward-backward peaking obtained at LO is an artifact  large x u quark distribution is higher at LO than NLO due to deficiencies in the LO matrix elements for DIS

Modified LO PDFs Try to make up for the deficiencies of LO PDFs by  relaxing the momentum sum rule  including NLO pseudo- data in the LO fit to guide the modified LO distributions Results tend to be in better agreement with NLO predictions, both in magnitude and in shape Some might say that the PDFs then have no predictive power, but this is true for any LO PDFs See arXiv: ; PDFs available from LHAPDF

gg->Higgs Higgs K-factor is too large to absorb into PDFs (nor would you want to) Shape is ok with LO PDF’s, improves a bit with the modified LO PDFs

K-factor table with the modified LO PDFs Note K-factor for W < 1.0, since for this table the comparison is to CTEQ6.1 and not to CTEQ6.6, i.e. corrections to low x PDFs due to treatment of heavy quarks in CTEQ6.6 “built-in” to mod LO PDFs mod LO PDF K-factors for LHC slightly less K-factors at Tevatron K-factors with NLO PDFs at LO are more often closer to unity

K-factor table Some rules-of-thumb NLO corrections are larger for processes in which there is a great deal of color annihilation  gg->Higgs  gg->   K(gg->tT) > K(qQ -> tT)  these gg initial states want to radiate like crazy (see Sudakovs) NLO corrections decrease as more final-state legs are added  K(gg->Higgs + 2 jets) Higgs + 1 jet) Higgs)  unless can access new initial state gluon channel Can we generalize for uncalculated HO processes? What about effect of jet vetoes on K- factors? Signal processes compared to background. Of current interest. C i1 + C i2 – C f,max Simplistic rule Casimir color factors for initial state (not the full story, but indicative) Casimir for biggest color representation final state can be in L. Dixon

Aside: multi-parton final states In addition to the considerations outlined on the previous slide, the K-factors for multi-parton final states will tend to decrease due to the different behavior of jet algorithms at LO and NLO See arXiv: (or extra slides)

Les Houches wishlist …is being completed faster than I can refill it See arXiv: tT+2jets and VVbB finished V+4 jets on the horizon

Finally, PDF correlations Consider a cross section X(a), a function of the Hessian eigenvectors i th component of gradient of X is Now take 2 cross sections X and Y  or one or both can be pdf’s Consider the projection of gradients of X and Y onto a circle of radius 1 in the plane of the gradients in the parton parameter space The circle maps onto an ellipse in the XY plane The angle  between the gradients of X and Y is given by The ellipse itself is given by If two cross sections are very correlated, then cos  ~1 …uncorrelated, then cos  ~0 …anti-correlated, then cos  ~-1

Correlations with Z, tT If two cross sections are very correlated, then cos  ~1 …uncorrelated, then cos  ~0 …anti-correlated, then cos  ~-1 Define a correlation cosine between two quantities Z tT

Correlations with Z, tT If two cross sections are very correlated, then cos  ~1 …uncorrelated, then cos  ~0 …anti-correlated, then cos  ~-1 Note that correlation curves to Z and to tT are mirror images of each other By knowing the pdf correlations, can reduce the uncertainty for a given cross section in ratio to a benchmark cross section iff cos  > 0;e.g.  (  W +/  Z )~1% If cos  < 0, pdf uncertainty for one cross section normalized to a benchmark cross section is larger So, for gg->H(500 GeV); pdf uncertainty is 4%;  (  H /  Z )~8% Define a correlation cosine between two quantities Z tT

Summary PDF4LHC/Les Houches benchmarking exercise has provided useful understanding of commonalities/differences among the different PDF groups  and hopefully we can continue towards more standardization Benchmark cross sections will be made available in a reference document, with predictions from all participating PDF groups  see …and recommendations on how to estimate PDF/  s uncertainties for LHC cross sections where such uncertainties are critical/non-critical gg->Higgs is one case for NNLO corrections are large, so NNLO cross sections are necessary Available from only a few groups to date Since most of the impact arises from the matrix element and not the change in PDF’s, I’ve suggested providing approximate NNLO predictions in cases where NNLO PDFs are not available  NNLO ME + NLO PDF Mod LO PDFs,  s series available now CT10, CT10W soon

EXTRA SLIDES

Now consider W + 3 jets Consider a scale of m W for W + 1,2,3 jets. We see the K-factors for W + 1,2 jets in the table below, and recently the NLO corrections for W + 3 jets have been calculated, allowing us to estimate the K-factors for that process. Is the K-factor (at m W ) at the LHC surprising?

The K-factors for W + jets (p T >30 GeV/c) fall near a straight line, as do the K-factors for the Tevatron. By definition, the K-factors for Higgs + jets fall on a straight line. Nothing special about m W ; just a typical choice. The only way to know a cross section to NLO, say for W + 4 jets or Higgs + 3 jets, is to calculate it, but in lieu of the calculations, especially for observables that we have deemed important at Les Houches, can we make some rules of thumb? Related to this is: - understanding the reduced scale dependences/pdf uncertainties for cross section ratios we have been discussing -scale choices at LO for cross sections uncalculated at NLO

Is the K-factor (at m W ) at the LHC surprising? The K-factors for W + jets (p T >30 GeV/c) fall near a straight line, as do the K-factors for the Tevatron. By definition, the K-factors for Higgs + jets fall on a straight line. Nothing special about m W ; just a typical choice. The only way to know a cross section to NLO, say for W + 4 jets or Higgs + 3 jets, is to calculate it, but in lieu of the calculations, especially for observables that we have deemed important at Les Houches, can we make rules of thumb? Related to this is: - understanding the reduced scale dependences/pdf uncertainties for the cross section ratios we have been discussing -scale choices at LO for cross sections calculated at NLO -scale choices at LO for cross sections uncalculated at NLO Will it be smaller still for W + 4 jets?

Jet algorithms at LO/NLO Remember at LO, 1 parton = 1 jet By choosing a jet algorithm with size parameter D, we are requiring any two partons to be > D apart The matrix elements have 1/  R poles, so larger D means smaller cross sections  it’s because of the poles that we have to make a  R cut At NLO, there can be two (or more) partons in a jet and jets for the first time can have some structure  we don’t need a  R cut, since the virtual corrections cancel the collinear singularity from the gluon emission  but there are residual logs that can become important if D is too small Increasing the size parameter D increases the phase space for including an extra gluon in the jet, and thus increases the cross section at NLO (in most cases) z=p T2 /p T1 d For D=R cone, Region I = k T jets, Region II (nominally) = cone jets; I say nominally because in data not all of Region II is included for cone jets not true for WbB, for example

Is the K-factor (at m W ) at the LHC surprising? The problem is not the NLO cross section; that is well-behaved. The problem is that the LO cross section sits ‘too-high’. The reason (one of them) for this is that we are ‘too-close’ to the collinear pole (R=0.4) leading to an enhancement of the LO cross section (double- enhancement if the gluon is soft (~20 GeV/c)). Note that at LO, the cross section increases with decreasing R; at NLO it decreases. The collinear dependence gets stronger as n jet increases. The K-factors for W + 3 jets would be more normal (>1) if a larger cone size and/or a larger jet p T cutoff were used. But that’s a LO problem; the best approach is to use the appropriate jet sizes/jet p T ’s for the analysis and understand the best scales to use at LO (matrix element + parton shower) to approximate the NLO calculation (as well as comparing directly to the NLO calculation). p T jet For 3 jets, the LO collinear singularity effects are even more pronounced. x x p T jet =20 GeV =30 GeV =40 GeV NLO LO cone jet of 0.4 blue=NLO; red=LO 20 GeV 30 GeV 40 GeV NB: here I have used CTEQ6.6 for both LO and NLO; CTEQ6L1 would shift LO curves up