Requested precision: 1e-07 absolute, 1e-07 relative 1-D integration method: RooIntegrator1D (RooImproperIntegrator1D if open-ended) 2-D integration method: RooAdaptiveIntegratorND (N/A if open-ended) N-D integration method: RooAdaptiveIntegratorND (N/A if open-ended) Available integration methods: *** RooBinIntegrator *** Capabilities: [1-D] [2-D] [N-D] Configuration: 1) numBins = 100 *** RooIntegrator1D *** Capabilities: [1-D] Configuration: 1) sumRule = Trapezoid(idx = 0) 2) extrapolation = Wynn-Epsilon(idx = 1) 3) maxSteps = 20 4) minSteps = 999 5) fixSteps = 0 *** RooIntegrator2D *** Capabilities: [2-D] Configuration: (Depends on 'RooIntegrator1D') *** RooSegmentedIntegrator1D *** Capabilities: [1-D] Configuration: 1) numSeg = 3 (Depends on 'RooIntegrator1D') *** RooSegmentedIntegrator2D *** Capabilities: [2-D] Configuration: (Depends on 'RooSegmentedIntegrator1D') *** RooImproperIntegrator1D *** Capabilities: [1-D] [OpenEnded] Configuration: (Depends on 'RooIntegrator1D') *** RooMCIntegrator *** Capabilities: [1-D] [2-D] [N-D] Configuration: 1) samplingMode = Importance(idx = 0) 2) genType = QuasiRandom(idx = 0) 3) verbose = false(idx = 0) 4) alpha = 1.5 5) nRefineIter = 5 6) nRefinePerDim = 1000 7) nIntPerDim = 5000 *** RooAdaptiveIntegratorND *** Capabilities: [2-D] [N-D] Configuration: 1) maxEval2D = 100000 2) maxEval3D = 1e+06 3) maxEvalND = 1e+07 4) maxWarn = 5 *** RooAdaptiveGaussKronrodIntegrator1D *** Capabilities: [1-D] [OpenEnded] Configuration: 1) maxSeg = 100 2) method = 21Points(idx = 2) *** RooGaussKronrodIntegrator1D *** Capabilities: [1-D] [OpenEnded] Configuration: [#3] INFO:Integration -- RooRealIntegral::ctor(landau_Int[x]) Constructing integral of function landau over observables(x) with normalization () with range identifier [#3] DEBUG:Integration -- landau: Adding observable x as shape dependent [#3] DEBUG:Integration -- landau: Adding parameter 0 as value dependent [#3] DEBUG:Integration -- landau: Adding parameter 0.1 as value dependent [#3] INFO:Integration -- landau: Observable x is suitable for analytical integration (if supported by p.d.f) [#3] INFO:Integration -- landau: Observables (x) are numerically integrated [#1] INFO:NumericIntegration -- RooRealIntegral::init(landau_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x) [1] int_dx landau(x) = 0.0989653362054419 [#3] INFO:Integration -- RooRealIntegral::ctor(landau_Int[x]) Constructing integral of function landau over observables(x) with normalization () with range identifier [#3] DEBUG:Integration -- landau: Adding observable x as shape dependent [#3] DEBUG:Integration -- landau: Adding parameter 0 as value dependent [#3] DEBUG:Integration -- landau: Adding parameter 0.1 as value dependent [#3] INFO:Integration -- landau: Observable x is suitable for analytical integration (if supported by p.d.f) [#3] INFO:Integration -- landau: Observables (x) are numerically integrated [#1] INFO:NumericIntegration -- RooRealIntegral::init(landau_Int[x]) using numeric integrator RooAdaptiveGaussKronrodIntegrator1D to calculate Int(x) [2] int_dx landau(x) = 0.098957102921895 [#3] INFO:Integration -- RooRealIntegral::ctor(landau_Int[x]) Constructing integral of function landau over observables(x) with normalization () with range identifier [#3] DEBUG:Integration -- landau: Adding observable x as shape dependent [#3] DEBUG:Integration -- landau: Adding parameter 0 as value dependent [#3] DEBUG:Integration -- landau: Adding parameter 0.1 as value dependent [#3] INFO:Integration -- landau: Observable x is suitable for analytical integration (if supported by p.d.f) [#3] INFO:Integration -- landau: Observables (x) are numerically integrated [#1] INFO:NumericIntegration -- RooRealIntegral::init(landau_Int[x]) using numeric integrator RooAdaptiveGaussKronrodIntegrator1D to calculate Int(x) [3] int_dx landau(x) = 0.098957102921895 --- RooAbsArg --- Value State: clean Shape State: clean Attributes: [SnapShot_ExtRefClone] Address: 0x57ac530 Clients: Servers: Proxies: --- RooAbsCategory --- Value = 1 "15Points) Possible states: 15Points 1 21Points 2 31Points 3 41Points 4 51Points 5 61Points 6 WynnEpsilon 0