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Precision RENORM / MBR Predictions for Diffraction at LHC

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Presentation on theme: "Precision RENORM / MBR Predictions for Diffraction at LHC"— Presentation transcript:

1 Precision RENORM / MBR Predictions for Diffraction at LHC
Konstantin Goulianos Precision predictions? Wow!

2 Basic and combined diffractive processes
CONTENTS Basic and combined diffractive processes Diffraction SD p1p2p1+gap+X2 Single Diffraction / Dissociation –1 SD2 p1p2X1+gap+p2 Single Diffraction / Dissociation - 2 DD p1p2X1+gap+X2 Double Diffraction / Double Dissociation CD/DPE p1p2gap+X+gap Central Diffraction / Double Pomeron Exchange RenormalizationUnitarization RENORM Model Triple-Pomeron Coupling: unambiguously determined Total Cross Section: Unique prediction based on saturation and a tensor glue ball approach References Previous talks: LHCFPWG 2015 Madrid (21-25 Apr 2015) EDS BLOIS 2015 Borgo, Corsica, France 29 Jun-4 Jul, MBR MC Simulation in PYTHIA8, KG & R. Ciesielski, MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

3 Basic and combined diffractive processes
RENORM: Basic and Combined Diffractive Processes Basic and combined diffractive processes rapidity distributions particles gap BASIC DD SD SD DD COMBINED Cross sections analytically expressed in arXiv below: 4-gap diffractive process-Snowmass MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

4 Regge Theory: Values of so & gPPP?
KG-PLB 358, 379 (1995) a(t)=a(0)+a′t a(0)=1+e Parameters: s0, s0' and g(t) set s0' = s0 (universal Pomeron) determine s0 and gPPP – how? MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

5 A complicatiion…  Unitarity!
RENORM predictions for  diffraction at LHC confirmed Theoretical Complication: Unitarity! A complicatiion…  Unitarity! ssd grows faster than st as s increases *  unitarity violation at high s (also true for partial x-sections in impact parameter space) the unitarity limit is already reached at √s ~ 2 TeV ! need unitarization * similarly for (dsel/dt)t=0 w.r.t. st, but this is handled differently in RENORM MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

6 FACTORIZATION BREAKING IN SOFT DIFFRACTION
M x,t p p’ Diffractive x-section suppressed relative to Regge prediction as √s increases KG, PLB 358, 379 (1995) 1800 GeV 540 GeV Regge Factor of ~8 (~5) suppression at √s = 1800 (540) GeV RENORMALIZATION CDF Interpret flux as gap formation probability that saturates when it reaches unity √s=22 GeV MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

7 Single Diffraction Renormalized - 1
KG  CORFU-2001: 2 independent variables: t color factor gap probability sub-energy x-section Gap probability  (re)normalize it to unity MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

8 Single Diffraction Renormalized - 2
color factor Experimentally: KG&JM, PRD 59 (114017) 1999 QCD: MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

9 Single Diffraction Renormalized - 3
set to unity  determines so MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

10 M2 distribution: data M2 - Distribution: Data Regge data
 ds/dM2|t=-0.05 ~ independent of s over 6 orders of magnitude! KG&JM, PRD 59 (1999) Regge data 1  factorization breaks down to ensure M2 scaling MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

11 Scale s0 and PPP Coupling
Pomeron flux: interpret it as gap probability set to unity: determines gPPP and s0 KG, PLB 358 (1995) 379 Pomeron-proton x-section Two free parameters: so and gPPP Obtain product gPPP•soe / 2 from sSD Renormalized Pomeron flux determines so Get unique solution for gPPP MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

12 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos
DD at CDF gap probability x-section Regge Renor’d x-section divided by integrated gap prob. MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

13 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos
SDD at CDF Excellent agreement between data and MBR (MinBiasRockefeller) MC MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

14 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos
CD/DPE at CDF Excellent agreement between data and MBR based MC  Confirmation that both low and high mass x-sections are correctly implemented MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

15 RENORM Difractive Cross Sections
a1=0.9, a2=0.1, b1=4.6 GeV-2, b2=0.6 GeV-2, s′=s e-Dy, k=0.17, kb2(0)=s0, s0=1 GeV2, s0=2.82 mb or 7.25 GeV-2 MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

16 Total, Elastic, and Inelastic x-Sections
CMG KG MORIOND GeV2 selp±p =stotp±p×(sel/stot)p±p, with sel/stot from CMG small extrapolation from 1.8 to 7 and up to 50 TeV MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

17 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos
The total x-section 2009 √sF=22 GeV 98 ± 8 mb at 7 TeV 109 ±12 mb at 14 TeV Uncertainty is due to s0 MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

18 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos
TOTEM (2012) vs PYTHIA8-MBR sinel7 TeV= 72.9 ±1.5 mb sinel8 TeV= 74.7 ±1.7 mb TOTEM, G. Latino talk at CERN 2012 MBR: 71.1±5 mb superball±1.2 mb RENORM: 72.3±1.2 mb RENORM: 71.1±1.2 mb NBR errors reduced by 75% by using data on exclusive p± production from the AFS at the ISR ( next slides) MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

19 ATLAS - in Diffraction 2014 (Talk by Marek Taševský, slide#19
RENORM: 98.0±1.2 mb 19 19 MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

20 Reduce Uncertainty in s0
2015 |Amplitude|2 (arbitrary units) Data: Peter C. Cesil, AFS thesis (courtesy Mike Albrow) analysis: S and D waves Conjecture: tensor glue ball (spin 2) Fit: Gaussian <Mtgb>=√s0=2.10±0.68 GeV s0=4.42±0.34 GeV2 Review of CEP by Albrow, Coughlin, Forshaw Fig. from Axial Field Spectrometer at the CERN Intersecting Storage Rings 20% increase in so x-sections decrease MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

21 Reduced Uncertainty in s0
Energy Total Elastic Inelastic MBR Exp 7 TeV 95.4±1.2 26.4±0.3 69.0±1.0 MBR 98.4±2.2 73.7±3.4 TOTEM 95.35±1.36 24.00±0.60 71.34±0.90 ATLAS CMS 8 TeV 97.1±1.4 27.2±0.4 69.9±1.0 101.7±2.9 27.1±1.4 74.7±1.7 73. 1±0.9±0.9syst±3.3extr (this conference) 13 TeV 103.7±1.9 30.2±0.8 73.5±1.3 MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

22 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos
The CMS Detector CD DD SD ND CASTOR forward calorimeter: important for separating SD from DD contributions MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

23 CMS Data vs MC Models (2015)-1
SD dominated data DD dominated data Error bars are dominated by systematics DD data scaled downward by 15% (within MBR and CDF data errors) PYTHIA8-MBR is the only model that describes well both the SD and DD data MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

24 CMS Data vs MC Models (2015) -2
Central h-gap x-sections (DD dominated) P8-MBR provides the best fit to the data All other models too low at small Dh MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

25 SD Extrapolation to xx ≤ 0.05 vs MC Model
P8-MBR describes the normalization and shape of the CMS data and is used to extrapolate to the unmeasured regions to obtain sSD for x<0.05 MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

26 pT Distr’s of MCs vs Pythia8 Tuned to MBR
COLUMNS Mass Regions Low 5.5<MX<10 GeV Med. 32<MX<56 GeV High 176<MX<316 GeV ROWS MC Models PYTHIA8-MBR PYTHIA8-4C PYTHIA6-Z2* PHOJET QGSJET-II-03 QGSJET-04 EPOS-LHC CONCLUSION PYTHIA8-MBR agrees best with the reference model and is used by CMS in extrapolating to the unmeasured regions. MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

27 Charged Mult’s vs MC Model – 3 Mass Regions
Pythia8 parameters tuned to reproduce multiplicities of modified gamma distribution (MGD) KG, PLB 193, 151 (1987) Mass Regions Low 5.5<MX<10 GeV Med. 32<MX<56 GeV High 176<MX<316 GeV CERN ISR 52.6 GeV SppS 540 GeV - Diffractive data vs MGD CERN ISR & SppS w/MGD fit - 0 < pT < 1.4 GeV MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

28 Pythia8-MBR Hadronization Tune
Diffraction: tune SigmaPomP Diffraction: QuarkNorm/Power parameter PYTHIA8 default sPp(s) expected from Regge phenomenology for s0=1 GeV2 and DL t-dependence. good description of low multiplicity tails Red line:-best fit to multiplicity distributions. (in bins of Mx, fits to higher tails only, default pT spectra) MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos 28 R. Ciesielski, “Status of diffractive models”, CTEQ Workshop 2013

29 SD and DD x-Sections vs Models
Single Diffraction Includes ND background Double Diffraction MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

30 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos
CMS vs MC & ATLAS Uncorrected ΔηF distribution vs MCs Stable-particle x-sections for pT>200 MeV and |h|<4.7 compared to the ATLAS 2012 result similar result MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

31 Monte Carlo Algorithm - Nesting
Profile of a pp Inelastic Collision no gap gap gap gap gap gap t y'c t t t1 t2 ln s′ =Dy′ evolve every cluster similarly final state of MC w/no-gaps Dy′ > Dy'min Dy‘ < Dy'min generate central gap hadronize repeat until Dy' < Dy'min MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

32 SUMMARY Thank you for your attention! Introduction
Review of RENORM predictions of diffractive physics basic processes: SD1,SD2, DD, CD (DPE) combined processes: multigap x-sections ND  no diffractive gaps this is the only final state to be tuned Monte Carlo strategy for the LHC – “nesting” Updated RENORM parameters  Good agreement with existing measurements  Predictions of cross sections at 13 TeV Thanks to Robert A. Ciesielski, my collaborator in the PYTHIA8-MBR project Thank you for your attention! MIAMI 2015 Precision RENORM/NBR Predictions for Diffraction at LHC K.Goulianos

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