MadGolem: Automated NLO predictions for SUSY and beyond

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Transcription:

David López-Val D. Gonçalves Netto (MPI, Munich), T. Plehn (Heidelberg U.), I. Wigmore (Edinburgh U.), K. Mawatari (Vrije U.) together with ITP - Universität Heidelberg SUSY 2013, Trieste (Italy) - August 29th 2013

Outline Outline 1 MadGolem a 3-slide overview 2 MadGolem architecture 3 MadGolem performance 4 MadGolem an application: MSSM 3rd generation 5 Summary

MadGolem a 3-slide overview Outline 1 MadGolem a 3-slide overview 2 MadGolem architecture 3 MadGolem performance 4 MadGolem an application: MSSM 3rd generation 5 Summary

AUTOMATION NEXT-TO-LEADING ORDER NEW PHYSICS

MadGolem a 3-slide overview Modules & flowchart Modules & flowchart Golem one-loop amplitude MadGraph tree-level NLO Real emission process card.dat run card.dat parameter card.dat Qgraf one-loop amplitude NLO cross sections MadGolem NLO distributions MadDipole IR subtraction Counterterm generator UV renormalization MadOS OS subtraction

MadGolem a 3-slide overview Modules & flowchart Modules & flowchart Golem one-loop amplitude MadGraph tree-level NLO Real emission process card.dat run card.dat parameter card.dat Qgraf one-loop amplitude NLO cross sections MadGolem NLO distributions MadDipole IR subtraction Counterterm generator UV renormalization MadOS OS subtraction PROSPINO

MadGolem a 3-slide overview Modules & flowchart Modules & flowchart Golem one-loop amplitude MadGraph tree-level NLO Real emission process card.dat run card.dat parameter card.dat Qgraf one-loop amplitude NLO cross sections MadGolem NLO distributions MadDipole IR subtraction Counterterm generator UV renormalization MadOS OS subtraction PROSPINO

MadGolem a 3-slide overview Modules & flowchart Modules & flowchart Golem one-loop amplitude MadGraph tree-level NLO Real emission process card.dat run card.dat parameter card.dat Qgraf one-loop amplitude NLO cross sections MadGolem NLO distributions MadDipole IR subtraction Counterterm generator UV renormalization MadOS OS subtraction Automating PROSPINO Generalizing

MadGolem architecture Outline 1 MadGolem a 3-slide overview 2 MadGolem architecture 3 MadGolem performance 4 MadGolem an application: MSSM 3rd generation 5 Summary

MadGolem architecture Automating NLO the major hurdles Loops Divergences

MadGolem architecture One-loop amplitude One-loop amplitude The lo GENERATION Qgraph [Nogueira] Model files FORTRAN Feynman diagrams

MadGolem architecture One-loop amplitude One-loop amplitude The lo GENERATION Qgraph [Nogueira] Model files FORTRAN Feynman diagrams TRANSLATION Qgraf-Golem Feynman diagrams BASH,PERL,FORM Amplitude

MadGolem architecture One-loop amplitude One-loop amplitude The lo GENERATION Qgraph [Nogueira] Model files FORTRAN Feynman diagrams TRANSLATION Qgraf-Golem Feynman diagrams BASH,PERL,FORM Amplitude vertices propagators color Lorentz structures rel. signs sym. factors

MadGolem architecture One-loop amplitude One-loop amplitude The lo GENERATION Qgraph [Nogueira] Model files FORTRAN Feynman diagrams TRANSLATION Qgraf-Golem Feynman diagrams BASH,PERL,FORM Amplitude vertices propagators color Lorentz structures rel. signs sym. factors

MadGolem architecture One-loop amplitude One-loop amplitude The lo GENERATION Qgraph [Nogueira] Model files FORTRAN Feynman diagrams TRANSLATION Qgraf-Golem Feynman diagrams BASH,PERL,FORM Amplitude vertices propagators color Lorentz structures rel. signs sym. factors

MadGolem architecture One-loop amplitude One-loop amplitude The lo GENERATION Qgraph [Nogueira] Model files FORTRAN Feynman diagrams TRANSLATION Qgraf-Golem Feynman diagrams BASH,PERL,FORM Amplitude vertices propagators color Lorentz structures rel. signs sym. factors

MadGolem architecture One-loop amplitude One-loop amplitude The lo GENERATION Qgraph [Nogueira] Model files FORTRAN Feynman diagrams TRANSLATION Qgraf-Golem Feynman diagrams BASH,PERL,FORM Amplitude vertices propagators color Lorentz structures rel. signs sym. factors

MadGolem architecture One-loop amplitude One-loop amplitude The lo GENERATION Qgraph [Nogueira] Model files FORTRAN Feynman diagrams TRANSLATION Qgraf-Golem Feynman diagrams BASH,PERL,FORM Amplitude vertices propagators color Lorentz structures rel. signs sym. factors

MadGolem architecture One-loop amplitude One-loop amplitude The lo GENERATION Qgraph [Nogueira] Model files FORTRAN Feynman diagrams TRANSLATION Qgraf-Golem Feynman diagrams BASH,PERL,FORM Amplitude vertices propagators color Lorentz structures rel. signs sym. factors CALCULATION Golem [Binoth et al.] Amplitude BASH,PERL,FORM,MAPLE Reduced amplitude

MadGolem architecture One-loop amplitude One-loop amplitude The lo GENERATION Qgraph [Nogueira] Model files FORTRAN Feynman diagrams TRANSLATION Qgraf-Golem Feynman diagrams BASH,PERL,FORM Amplitude vertices propagators color Lorentz structures rel. signs sym. factors CALCULATION Golem [Binoth et al.] Amplitude BASH,PERL,FORM,MAPLE Reduced amplitude M NLO = M NLO [color/helicity/1l function] }{{} partial amplitudes B color B hel B 1Lfunction }{{} basis

MadGolem architecture One-loop amplitude One-loop amplitude Analytical results accessible at any time Dedicated coding: efficient generation & numerical evaluation Loop filtering Grouping of topologically equivalent one-loop diagrams Amplitude coefficients as split dynamic libraries loaded at runtime Genuine New Physics structures treatable Majorana fermions (clashing arrows!) complex color & spin structures MSSM renormalization including heavy flavor squarks & SUSY restoration. Most easily interfaced with MG tools : FeynRules, MadAnalysis,...

MadGolem performance Outline 1 MadGolem a 3-slide overview 2 MadGolem architecture 3 MadGolem performance 4 MadGolem an application: MSSM 3rd generation 5 Summary

MadGolem performance Running MadGolem 3-stage procedure 3 interfaces 3 executables Stage 1: PROCESS GENERATION process_card./newprocess_snlo

MadGolem performance Feynman diagrams @NLO Virtual corrections O(α s) virtual gluon/gluino/squark exchange Real corrections : quark and gluon emission off the initial partons and the final-state squark i) self-energy insertions; ii) vertex corrections; iii) box diagrams; iv) real emission

MadGolem performance Feynman diagrams @NLO Virtual corrections O(α s) virtual gluon/gluino/squark exchange Real corrections : quark and gluon emission off the initial partons and the final-state squark i) self-energy insertions; ii) vertex corrections ; iii) box diagrams; iv) real emission

MadGolem performance Feynman diagrams @NLO Virtual corrections O(α s) virtual gluon/gluino/squark exchange Real corrections : quark and gluon emission off the initial partons and the final-state squark i) self-energy insertions; ii) vertex corrections; iii) box diagrams ; iv) real emission

MadGolem performance Feynman diagrams @NLO Virtual corrections O(α s) virtual gluon/gluino/squark exchange Real corrections : quark and gluon emission off the initial partons and the final-state squark i) self-energy insertions; ii) vertex corrections; iii) box diagrams; iv) real emission

MadGolem performance Feynman diagrams @NLO The Feynman diagrams get generated...

MadGolem performance Running MadGolem 3-stage procedure 3 interfaces 3 executables Stage 1: PROCESS GENERATION process_card./newprocess_snlo Stage 2: AMPLITUDE CALCULATION./run_golem_pl At this point the user is able to: Select diagram topologies detailed analysis of the virtual corrections Access the analytical output in several stages very useful for cross-checking (and to dig out some physics!)

MadGolem performance Feynman diagrams @NLO The scattering amplitudes are further translated...

MadGolem performance Feynman diagrams @NLO and analytically reduced

MadGolem performance Running MadGolem 3-stage procedure 3 interfaces 3 executables Stage 1: PROCESS GENERATION process_card./newprocess_snlo Stage 2: AMPLITUDE CALCULATION./run_golem_pl At this point the user is able to: Select diagram topologies detailed analysis of the virtual corrections Access the analytical output in several stages very useful for cross-checking (and to dig out some physics!) Stage 3: NUMERICAL EVALUATION param_card.dat, run_card.dat./generate_events_nlo 2 2 myrun

MadGolem performance Running MadGolem And the user retrieves the results!

MadGolem performance Automated NLO BSM phenomenology First complete fully automated NLO calculations of BSM 2 2

MadGolem performance Automated NLO BSM phenomenology First complete fully automated NLO calculations of BSM 2 2 pp q χ 0 arxiv:1108.1250 pp [ q q, q q, q g, g g] arxiv:1211.0311 pp GG arxiv:1203.6358 pp l 8 l8 arxiv:1303.0845

MadGolem performance Automated NLO BSM phenomenology First complete fully automated NLO calculations of BSM 2 2 pp q χ 0 arxiv:1108.1250 pp [ q q, q q, q g, g g] arxiv:1211.0311 pp GG arxiv:1203.6358 pp l 8 l8 arxiv:1303.0845 Total NLO rates and K factors unconstrained Parameter space surveys BSM phenomenology @ NLO Anatomy of the NLO quantum effects separated contributions for each one-loop topology & partonic sub-channel Analytical expression for the one-loop amplitudes Scale dependences NLO distributions & comparison to jet merging

MadGolem an application: MSSM 3rd generation Outline 1 MadGolem a 3-slide overview 2 MadGolem architecture 3 MadGolem performance 4 MadGolem an application: MSSM 3rd generation 5 Summary

MadGolem an application: MSSM 3rd generation 3rd generation at the LHC Phenomenological case Light 3rd generation squarks are motivated Naturalness little hierarchy Natural SUSY Unconstrained MSSM no high-scale relations Higgs physics a viable non-decoupling SUSY Higgs sector Han et al. [ 13] Astrophysics & Cosmology EW phase transition & baryogenesis Experimentally : Compelling decay patterns eventually rich in t/b t/b-rich final-states from g decays Loose mass constraints (e.g. for compressed m m χ 0 spectra) 1

MadGolem an application: MSSM 3rd generation Benchmarks Benchmarks 3rd generation phenomenology pmssm Berger et al [ 08]; Cahill-Rowley [ 13]: no high-scale relations R-parity ; MFV ; degenerated 1st & 2nd generations ; suppressed Yukawas & trilinears for 1st & 2nd generations Light 3rd generation & Higgs physics Han [ 13] NSUSY Dine, Dimopoulos, Espinosa, Giudice, Weiler [ 93 13] light soft-masses for strong Yukawas ; light µ term Specific benchmarks as laid out in Buchmuller [ 13]; Baer, List [ 13]

MadGolem an application: MSSM 3rd generation Benchmarks Benchmarks 3rd generation phenomenology pmssm Berger et al [ 08]; Cahill-Rowley [ 13]: no high-scale relations R-parity ; MFV ; degenerated 1st & 2nd generations ; suppressed Yukawas & trilinears for 1st & 2nd generations Light 3rd generation & Higgs physics Han [ 13] NSUSY Dine, Dimopoulos, Espinosa, Giudice, Weiler [ 93 13] light soft-masses for strong Yukawas ; light µ term Specific benchmarks as laid out in Buchmuller [ 13]; Baer, List [ 13] m t1 m t2 m b1 m b2 m χ 0 1 m χ 1 NSUSY1 434.93 990.31 891.56 1356.94 216.79 222.60 3202.64 NSCMSSM-10.2.2 398.43 682.54 155.16 303.00 231.32 425.38 1354.71 Light1 374.43 2022.88 387.88 2011.63 301.30 498.87 1102.32 m g

MadGolem an application: MSSM 3rd generation Automated t t & b b production to NLO t t & b b @ NLO: rates [preliminary] g g t g g g (all rates in fb)

MadGolem an application: MSSM 3rd generation Automated t t & b b production to NLO t t & b b @ NLO: rates [preliminary] g g t g g g pp pp b 1 b1 σ LO σ NLO K σ LO σ NLO K NSUSY1 11.56 224.40 1.88 2.62 7.01 2.67 NSUSY2 0.63 0.92 1.45 0.63 1.49 2.35 NSUSY3 214.91 281.91 1.32 2.62 9.03 3.45 NSCMSSM-10.2.2 2.11 10 2 3.38 10 2 1.60 4.17 10 4 6.12 10 4 1,47 NSCMSSM-40.2.2 2.69 10 3 4.61 10 3 1.64 47.32 80.95 1.71 NSCMSSM-40.3.2 7.86 10 2 1.25 10 4 1.59 0.16 0.31 1.93 Light1 3.00 10 3 4.95 10 2 1.65 1.93 10 3 3.02 10 3 1.57 (all rates in fb)

MadGolem an application: MSSM 3rd generation Automated t t & b b production to NLO t t & b b @ NLO: distributions [preliminary] g g t g g g 6 10-3 4 10-3 2 10-3 NSCMSSM 10.2.2 NSCMSSM 10.2.2 pp > ~ t ~ t1 1 real real 8 TeV -virtual -virtual LO NLO dσ/dp T [GeV -1 ] jet merging 0 200 400 p T (t ~ 1 ) [GeV] LO dσ/dy NLO pp > ~ t ~ t1 1 8 TeV 6 10-1 jet merging 2 10-3 0-2 -1 0 1 2 y (t ~ 1 ) 8 10-1 3 10-3 4 10-1 4 10-3 2 10-1 1 10-3 3.0 NSCMSSM 10.2.2 NSCMSSM 10.2.2 pp > ~ t ~ t1 µ 0 /2 pp > ~ t ~ 1 t1 1 8 TeV 2.5 8 TeV NLO 2µ 0 K factor 2.0 2µ 0 jet merging 1/σ dσ/dp T [GeV -1 ] 0 0 200 400 p T (t ~ 1 ) [GeV] µ 0 /2 1.5 1.0 0.5 0.0 0 200 400 p T (t ~ 1 ) [GeV]

MadGolem an application: MSSM 3rd generation Automated t t & b b production to NLO t χ @ NLO [preliminary] b g b χ 1 t χ 1 t g t b g χ 1 t χ 1 t g g b g χ 1 t pp χ 1 σ LO σ NLO K NSUSY1 5.60 7.73 1.38 NSUSY2 0.16 0.24 1.55 NSUSY3 8.56 10.93 1.28 NSCMSSM-10.2.2 1.47 2.58 1.76 NSCMSSM-40.2.2 6.57 10.89 1.66 NSCMSSM-40.3.2 8.46 12.86 1.52 Light1 0.10 0.12 1.17 5 10-1 4 10-1 3 10-1 2 10-1 1 10-1 4.0 NSCMSSM 10.2.2 NSCMSSM 10.2.2 pp > ~ t χ1 pp > ~ t χ1 ~ 1 µ 0 /2 1 8 TeV 8 TeV NLO 2µ 0 1/σ dσ/dy 0-2 -1 0 1 2 y (t ~ 1 ) K factor 2µ 0 µ 0 /2 3.0 2.0 1.0-1 0 1 y (t ~ 1 )

MadGolem an application: MSSM 3rd generation Automated tχ 1 production to NLO 4 versus 5 active flavors

MadGolem an application: MSSM 3rd generation Automated tχ 1 production to NLO 4 versus 5 active flavors 4FS m b 0 Q 2 m 2 b initial-state b-quarks final-state b-quarks 5FS m b = 0 Q 2 m 2 b b-quark PDF log(q 2 /m 2 b ) Maltoni, Ridolfi, Ubiali [ 12]

MadGolem an application: MSSM 3rd generation Automated tχ 1 production to NLO 4 versus 5 active flavors 4FS m b 0 Q 2 m 2 b initial-state b-quarks final-state b-quarks 5FS m b = 0 Q 2 m 2 b b-quark PDF log(q 2 /m 2 b ) Maltoni, Ridolfi, Ubiali [ 12] σ (pp b l n 1 ) [fb] 2000 (1) µ F 5 (2) µ R =10 µ 0 (3) µ F =0.1 µ 0 (4) µ R =0.1 µ 0 (5) µ F =10 µ 0 1500 4 1 2 S = 14 TeV 1000 3 µ R 5FS 500 4FS 0 0.1 1 10 1 µ R,F / µ 0 µ F / µ 0 1 µ R / µ 0 1 µ F / µ 0 1 µ R / µ 0

MadGolem an application: MSSM 3rd generation Automated tχ 1 production to NLO Automated on-shell subtraction gg χ 1 + b-jet gg χ 1 + b-jet

MadGolem an application: MSSM 3rd generation Automated tχ 1 production to NLO Automated on-shell subtraction gg χ 1 + b-jet gg χ 1 + b-jet dσ R ] dσ R + ] dσ R regular O(1/(p 2 m 2 )) gg χ 1 + b-jet + gg t 1(OS) t 1(OS) χ 1 + b-jet

MadGolem an application: MSSM 3rd generation Automated tχ 1 production to NLO Automated on-shell subtraction gg χ 1 + b-jet gg χ 1 + b-jet dσ R dσ R ] regular + dσ R ] O(1/(p 2 m 2 )) gg χ 1 + b-jet + gg t 1(OS) t 1(OS) χ 1 + b-jet ( dσ OS = σ Born m t1 Γ t1 /π + O dm 2 (M 2 m 2 t )+m 2 t Γ 2 1 1 1 (M 2 m 2 ) ) phase-space singularity & double counting avoided gauge-invariance & spin correlations preserved Beenakker, Höpker, Spira, Zerwas [ 99]

Summary Outline 1 MadGolem a 3-slide overview 2 MadGolem architecture 3 MadGolem performance 4 MadGolem an application: MSSM 3rd generation 5 Summary

Summary Take-home ideas Take-home ideas MadGolem THE TOOL Automated NLO cross-sections & distributions for 2 2 processes Highly modular, independent add-on to MadGraph/MadEvent Analytical, Feynman-diagrammatic one-loop amplitudes Automated renormalization & subtraction Tailored for BSM & NLO studies

Summary Take-home ideas Take-home ideas MadGolem THE TOOL Automated NLO cross-sections & distributions for 2 2 processes Highly modular, independent add-on to MadGraph/MadEvent Analytical, Feynman-diagrammatic one-loop amplitudes Automated renormalization & subtraction Tailored for BSM & NLO studies

Summary Take-home ideas Take-home ideas MadGolem THE TOOL Automated NLO cross-sections & distributions for 2 2 processes Highly modular, independent add-on to MadGraph/MadEvent Analytical, Feynman-diagrammatic one-loop amplitudes Automated renormalization & subtraction Tailored for BSM & NLO studies

Summary Take-home ideas Take-home ideas MadGolem THE TOOL Automated NLO cross-sections & distributions for 2 2 processes Highly modular, independent add-on to MadGraph/MadEvent Analytical, Feynman-diagrammatic one-loop amplitudes Automated renormalization & subtraction Tailored for BSM & NLO studies

Summary Take-home ideas Take-home ideas MadGolem THE TOOL Automated NLO cross-sections & distributions for 2 2 processes Highly modular, independent add-on to MadGraph/MadEvent Analytical, Feynman-diagrammatic one-loop amplitudes Automated renormalization & subtraction Tailored for BSM & NLO studies

Summary Take-home ideas Take-home ideas MadGolem THE TOOL Automated NLO cross-sections & distributions for 2 2 processes Highly modular, independent add-on to MadGraph/MadEvent Analytical, Feynman-diagrammatic one-loop amplitudes Automated renormalization & subtraction Tailored for BSM & NLO studies MadGolem ITS APPLICATION 3rd generation @ NLO :, b 1 b1, χ 1 NLO rate s, K-factors, scale dependences, distributions, theory uncertainties, flavor schemes

Summary Take-home ideas Take-home ideas MadGolem THE TOOL Automated NLO cross-sections & distributions for 2 2 processes Highly modular, independent add-on to MadGraph/MadEvent Analytical, Feynman-diagrammatic one-loop amplitudes Automated renormalization & subtraction Tailored for BSM & NLO studies MadGolem ITS APPLICATION 3rd generation @ NLO :, b 1 b1, χ 1 NLO rate s, K-factors, scale dependences, distributions, theory uncertainties, flavor schemes Standalones for numerical evaluation available upon request!