Soft models and survival probability Low x meeting, Ischia Island,Italy September 8 th – 13 th 2009 Alan Martin, IPPP, Durham.

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Presentation transcript:

Soft models and survival probability Low x meeting, Ischia Island,Italy September 8 th – 13 th 2009 Alan Martin, IPPP, Durham

“soft” scatt. destroys gaps in exclusive prod. gap eikonal rescatt: between protons enhanced rescatt: involving intermediate partons H soft-hard factoriz n conserved broken  ~ S 2 f g M gg  H f g e.g. pp  p+H+p gap survival prob. S 2 to “soft”…

Model for “soft” high-energy interactions needed to ---- understand asymptotics, intrinsic interest ---- describe “underlying” events for LHC jet algor ms ---- calc. rap.gap survival S 2 for exclusive prod n “Soft” model should: 1.be self-consistent theoretically --- satisfy unitarity  importance of absorptive corrections  importance of multi-Pomeron interactions 2. agree with available soft data CERN-ISR to Tevatron range 3. include Pomeron comp ts of different size---to study effects of soft-hard fact n breaking

Optical theorems High mass diffractive dissociation at high energy use Regge triple-Pomeron diag but screening important g N 3 g 3P but screening important so  total suppressed gN2gN2 so (g 3P ) bare increased M2M2 2

elastic unitarity  e -  is the probability of no inelastic interaction diagonal in b ~ l /p Must include unitarity

DL parametrization: Effective Pomeron pole  P (t) = t KMR parametrization includes absorption via multi-Pomeron effects given by data

Low-mass diffractive dissociation include high-mass diffractive dissociation Elastic amp. T el (s,b) bare amp. introduce diff ve estates  i,  k (comb ns of p,p*,..) which only undergo “elastic” scattering (Good-Walker)  multichannel eikonal (-20%) (SD -80%) (-40%) g 3P ? Im

PPP PPR  P RRP RRR RRP  P PPP triple-Regge analysis of d  /dtd  including screening   fit:  2 = 171 / 206 d.o.f. TevatronCERN-ISR (includes compilation of SD data by Goulianos and Montanha) g 3P = g N ~0.2 g 3P large, need to include multi-Pomeron effects LKMR see also Poghosan, Kaidalov,..

g 3P = g N ~0.2 M 2 d  SD /dM 2 ~ g N 3 g 3P ~  el M2M2 2  large ? ln s so at collider energies  SD ~  el gNgN g 3P

Multi-compt. s- and t-ch analysis of soft data 3-channel eikonal,  i with i=1,3 include multi-Pomeron diagrams ansatz  attempt to mimic BFKL diffusion in log q t by including three components to approximate q t distribution – possibility of seeing “soft  hard” Pomeron transition KMR 2008 model: nm g N 2

Use four exchanges in the t channel a = P large, P intermediate, P small, R 3 to mimic BFKL diffusion in ln q t soft pQCD average q t1 ~0.5, q t2 ~1.5, q t3 ~5 GeV V RP1 ~ g PPR,g RRP V PiPj ~ BFKL solve for  a ik (y,b) by iteration sec. Reggeon bare poleabsorptive effectsevolve up from y=0 evolve down from y’=Y-y=0 (arXiv: )

Parameters All soft data well described g 3P = g N with  =0.25  Pi = 0.3 (close to the BFKL NLL resummed value)  ’ P1 = 0.05 GeV -2 These values of the bare Pomeron trajectory yield, after screening, the expected soft Pomeron behaviour --- “soft-hard” matching (since P 1 heavily screened,….P 3 ~bare)  R = -0.4 (as expected for secondary Reggeon) Results multi-Pomeron coupling from  d  SD /d  dt data (  ~0.01) diffractive eigenstates from  SD (low M)=2mb at sqrt(s)=31 GeV, -- equi-spread in R 2, and t dep. from d  el /dt  =  (0) - 1

   “large”    “small” ~ g, sea more valence         LHC (x0.1) elastic differential d  /dt

Description of CDF dissociation data no  P

 total (mb) pp  pX parton multiplicity “soft”, screened, little growth, partons saturated All Pom. compts have  bare =0.3 “hard” ~ no screening much growth, s 0.3 Predictions for LHC  total = 91.7 mb*  el = 21.5 mb  SD = 19.0 mb *see also Sapeta, Golec-Biernat; Gotsman et al.

“soft” Pomeron “hard” Pomeron HERA data smooth in transition region Q 2 ~ 0.3 – 2 GeV 2 slope of bare trajectory  ’ < 0.1 GeV -2, so typical k t in Pom. amp relatively large (  ’~1/k t 2 ) bare  P (0) - 1 ~ 0.3, close to BFKL, after NLL are resummed

Calculation of S 2 eik for pp  p + H +p average over diff. estates i,k over b survival factor w.r.t. soft i-k interaction hard m.e. i k  H prob. of proton to be in diffractive estate i S 2 eik ~ 0.02 for 120 GeV SM Higgs at the LHC   ~ fb at LHC

gap H Main enhanced rescatt. occurs at beginning of evolution. Evolution of “beam” affected by enhanced int n with “target”. S enh changes (b, k t ) distrib n of active partons: breaks fact n Inclusion of Pomeron q t structure enables S 2 enh to be calculated Calculation of S 2 enhanced for pp  p + H +p

model has 4 t-ch. exchanges a = P large, P intermediate, P small, R 3 to mimic BFKL diffusion in ln q t soft pQCD average q t1 ~0.5, q t2 ~1.5, q t3 ~5 GeV V RP1 ~ g PPR,g RRP V PiPj ~ BFKL ~ solve with and without abs. effects bare poleabsorptive effects evolve up to y 2 evolve down to y 1 enh. abs. changes P 3 distrib n P3P3 P1P1 y2y2 y1y1

gap H Two subtlities 1. f g ’s from HERA data already include rescatt. of intermediate partons with parent proton 2. Usually take p t =0 and integrate with exp(-Bp t 2 ). S 2 /B 2 enters (where 1/B = ). But enh. abs. changes p t 2 behaviour from exp., so quote S 2 2 = ~ (for B=4 GeV -2 ) 2 = see arXiv:

2 ~ 0.02 Watt, Kowalski from  p  J/  p Sat n scale Q s 2 <0.3 GeV 2 for x~ fm parton only survives eik. rescatt. on periphery, where parton density is small and prob. of enh. abs. small

Comments on GLM(2008) GLM include some 3P effects, but get = = x = Need to calc. b, k t dep., S enh comes mainly from periphery (after S eik suppression) where parton density is small. So S enh (GLM) is much too small. 2. First 3P diagram is missing, so  SD much too small. 3. Four or more multi-Pomeron vertices neglected, so  tot asymptotically decreases (but GLM have  tot asym. const.). Model should specify energy interval where it is valid. 4. Need to consider threshold suppression. 5. Should compare predictions with observed CDF data. Calculation should be extended to obtain reliable S enh

Comments on Strikman et al. also predict a v.small S enh ! They use LO gluon with steep 1/x behaviour. Obtain black disc regime at LHC energy, with low x gluon so large that only on the periphery of the proton will gap have chance to survive. However, empricially the low x, low Q 2 gluon is flat – the steep 1/x LO behaviour is an artefact of the neglect of large NLO corrections. Again should compare to CDF exclusive data.

Conclusions – soft processes at the LHC -- screening/unitarity/absorptive corrections are vital -- Triple-Regge analysis with screening  g 3P increased by ~3  importance of multi-Pomeron diagrams -- Latest analysis of all available “soft” data: multi-ch eikonal + multi-Regge + compts of Pom. to mimic BFKL (showed some LHC predictions …  total ~ 90 mb,  SD ~ 20 mb) -- soft-hard Pomeron transition emerges “soft” compt. --- heavily screened --- little growth with s, s 0.08 “intermediate” compt. --- some screening “hard” compt. --- little screening --- large growth (~pQCD), s 0.3 (include, not just 3P vertices, but m  n vertices, otherwise  total decreases asymptotically)

Conclusions – on gap survival probabilities -- There is consensus for survival prob. of gaps to eik. rescatt. e.g. S 2 =0.02 for pp  p+H+p at LHC for 120 GeV SM Higgs -- A reliable calc n. of survival to enhanced rescatt. requires a soft model which includes the k t dep. of Pomeron exchange (soft-hard factorization breaking). Calc n has subtlities. e.g. S 2 reduced by about 30% (conservative). -- Largest unknown is low x, low Q 2 gluon -- CDF exclusive data are encouraging. Exclusive dijet at LHC should be informative.