Sayfa 1 May 2012 Sheffield. Sayfa 2 Content 1.Introduction 2.Particle Reconstruction 3.Mass Constraint 4.Iterative Methods for the Mass Constraint 5.Non-Iterative.

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Presentation transcript:

Sayfa 1 May 2012 Sheffield

Sayfa 2 Content 1.Introduction 2.Particle Reconstruction 3.Mass Constraint 4.Iterative Methods for the Mass Constraint 5.Non-Iterative Solutions & NIMCO 6.Event and Detector Simulation 7.Performance Analysis 8.Conclusion 9.References

Sayfa 3 1. Introduction  To overcome the mass constraint problem of particle decays, a non-iterative method is developed.  The new method can be applied to any two-body decay or a many body decay.  By using a toy detector simulation and the ALEPH full simulation data, the performance of the new method is compared with traditional iterative chi-square method for several decay types.  No significant difference is obtained between the two methods.  However, the non-iterative method is found to be much faster than the chi-square method.

Sayfa 4 2. Particle Reconstruction  In particle physics, mother particles are reconstructed from their decay products.  If the natural width of the mother is very small then one can consider that the mother mass is a single scalar value called the nominal mass.  But, the reconstructed momentum resolution of the mother is limited by the momentum and angular resolutions of the particle detector used.  So, the invariant mass distribution is smeared (instead of giving a single peak).

Sayfa 5 Example: Pion Decay Invariant mass: Mass resolution: σ E : energy resolution σ θ12 : opening angle resolution

Sayfa 6 Toy Simulation:

Sayfa 7 ALEPH Full Monte Carlo simulation:

Sayfa 8 ATLAS 7TeV data (using first data with rel17):

Sayfa 9 3. Mass Constraint  In order to improve the momentum resolution of the mother particle candidate, one can apply a kinematic refit to the momentum vectors of the reconstructed daughters.  To do that, the momenta of the daughters are adjusted such that their invariant mass ideally gives the nominal mass of the mother.

Sayfa Iterative Methods for Mass Constraint Consider a mother particle of mass M denoted by 0 is decaying to n daughters: The invariant mass of the daughters (W): p i : reconstructed momentum vector m i : mass of the i th daughter.

Sayfa 11 Traditionally refitting is performed by iterative methods. ==> minimise a chi-square function of the form: p : vector of reconstructed momenta f : vector of refitted momenta (target) V : covariant matrix (contains detector resolutions)  For n-body decay => we have 3n parameters in the refitting problem.  These parameters are not entirely free since the model has to fulfill some special constraint(s).  For one mass constraint, we can drop one of the parameters (3n ‒ 1 partial derivatives!)

Sayfa 12 Another widely used method to solve such a minimisation problem is known as the Lagrange Multipliers. ==> For one constraint, minimise the function of the form: λ : Lagrange mutiplier  No parameter is eliminated!  Partial derivative(s) with respect to λ is also computed.

Sayfa Non-iterative Solutions Non-Iterative Mass COnstraint (NIMCO) can be applied to any two-body decay and certain many body decays! The solutions for the refitted values are obtained directly without minimising a chi-square Consider the two-body decay (with mother mass M and daughter masses are m 1 and m 2 )

Sayfa 14 Invariant mass of products: Rearranging yields:

Sayfa 15 We have unconstrained mass: (1) After constraining W to M by modifying the momentum of decay products and opening angle: (2) where f 1 and f 2 are the refitted momenta and L is the refitted value of K. * Refitted values are obtained by rescaling measured values * (3)

Sayfa 16 Subsituting (3) -> (2): (4) Dividing (4) by (1): (5) Aim: find scales subjected to the constraint of (5).

Sayfa 17 S O L U T I O N o f E Q U A L S C A L E S ! We have: Assume that angular resolution is insignificant (K = L). The most simple mass constraint can be formed by setting equal scales: and

Sayfa 18 N I M C O An important consideration is to include the influence of detector resolutions to the constraint. => each scale s i has to be a function of detector resolutions! Let: : momentum resolution of particle 1 : momentum resolution of particle 2 : resolution of K = t – cos(θ)

Sayfa 19 Define relative resolutions: ( ) The limiting forms of the scales can be obtained as follows:

Sayfa 20 The following ans ȁ tzse satisfy all of the requirements: (6) where Note: final mother momenta is given by: (7)

Sayfa Event and Detector Simulation T wo types of events are generated 1)Pythia 8.1: pp collisions at 14 TeV, with the MinBias pro. => select ~40k D*0 particles from the successive decays: The selected events are passed though a toy detector simulation whose parameterasitions are: ECAL Tracker E γ > 1 GeV, |η|<3.2 p T > 0.5 GeV, |η|<2.5

Sayfa 22 2)Using Jetset 7.4 following decays are selected in the momentum range between 1 and 30 GeV/c from ~4M events hadronic Z decays at the LEP collider. The events have been passed through the ALEPH full simulation (realistic momentum/energy resolution) ALEPH parameterizations: ECAL Tracker

Sayfa Performance Analysis Figure of merit: Momentum resolution defined as the standard deviation of the distribution: Constrained or unconstrained momentum Mother true momentum

Sayfa 24

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Sayfa 27

Sayfa 28 The idea of NIMCO for the two-body decay can be extended to a tree-body decay. Consider the decay the pions are combined to build a pseudo particle x reducing the decay to a two-body decay of the form  The mass of the pseudo particle x is taken from the reconstructed invariant mass of the pair.  The same strategy can be applied to the decays: or

Sayfa 29

Sayfa Conclusion  A simple and robust non-iterative method for the mass constraint of two-body decays is developed.  The new method called NIMCO is shown to perform equally well to that of standard iterative chi-square method.  The chi-square method provides a significant CPU overhead! NIMCO is more than 100 times faster than the iterative chi-square minimisation method provided by the author  NIMCO can be adapted to the many-body particle decays which can be reduced to a two-body decay of well known daughter masses.  NIMCO may also be employed to initialise very sophisticated algorithms used to improve the top quark mass resolution in the decay channel

Sayfa 31 Teşekkürler...

Sayfa References [1] K. Korzecka et al., Nucl. Instr. Meth. A453 (2000) 606 [2] G. Batignani et al. (ALEPH collab.), ALEPH internal note (1993) [3] P. Avery CSN Data Analysis & Kinematic Fitting with KWFIT (1998) [4] L. Yan et al., CPC(HEP & NP) 34(3) (2010) 204 [5] A. Beddall et al., Nucl. Instr. Meth. A 654 (2011) 471 [6] Statement on use of ALEPH data for long-term analyses ( data.pdf) [7] T. Sjöstrand et al., Comput.Phys.Comm. 178 (2008) 852 [8] A. Golutvin, Nucl. Instr. Meth. A 453 (2000) 192 [9] P. Schacht, Nucl. Instr. Meth. A 535 (2004) 446 [10] D. Buskulic et al., (ALEPH Collab.), Nucl. Instr. Meth. A360 (1995) 481. [11] K. Nakamura et al., (Particle Data Group), J. Phys. G 37, (2010) [12] C. G. Lester, Physics Letters B 655 (2007) 39