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Search for Z’-boson signal using neural networks

Search for Z’-boson signal using neural networks. A.N.Buryk and V.V.Skalozub. Search for Z’-boson signal using neural networks A.N.Buryk and V.V.Skalozub. Many theories predict Z’-boson existance.

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Search for Z’-boson signal using neural networks

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  1. Search for Z’-boson signalusing neural networks A.N.Buryk and V.V.Skalozub

  2. Search for Z’-boson signal using neural networks A.N.Buryk and V.V.Skalozub Many theories predict Z’-boson existance. There are many methods to search it. But the lack of experimental statisticks doesn’t allow to find it.

  3. Search for Z’-boson signal using neural networks A.N.Buryk and V.V.Skalozub Starting point of this work was “Model-independent search for the Abelian Z’-boson in the Bha-Bha process”, made by A.V.Gulov and V.V.Skalozub

  4. Search for Z’-boson signal using neural networks A.N.Buryk and V.V.Skalozub

  5. Search for Z’-boson signal using neural networks A.N.Buryk and V.V.Skalozub The Bha-Bha process was investigatedFor this process we have only one equation from the third formula: The leading-order differential cross-section of the Bha-Bha process depends on next combinations of Z’-boson couplings: Taking into account RG equations they are reduced to three parameters:

  6. Search for Z’-boson signal using neural networks A.N.Buryk and V.V.Skalozub

  7. Search for Z’-boson signal using neural networks A.N.Buryk and V.V.Skalozub Common view of OPAL collaboration data View of OPAL collaboration data after some preparations

  8. Search for Z’-boson signal using neural networks A.N.Buryk and V.V.Skalozub On the diagram it looks like a band

  9. Search for Z’-boson signal using neural networks A.N.Buryk and V.V.Skalozub Set of 2 neural networks was used.Each network had its own discard criterion.First criterion: discard that data, that correspond to very big v2Second criterion: discard that data, for which RG equations are not applied1 networkSignal: v2=0,0001 Antisignal: v2=0,01 2 network Signal: Antisignal:

  10. Search for Z’-boson signal using neural networks A.N.Buryk and V.V.Skalozub Scheme of neural network structure

  11. Search for Z’-boson signal using neural networks A.N.Buryk and V.V.Skalozub We used neural networks with 2 incoming neurons, 10 hidden neurons an 1 outgoing neurons.After processing by first network we discard 2% of the width.After processing by the second network we discard 6,2% of bandwidth.So, after all actions, the overall decrease is about 8,2%.To construct and learn neural networks the MLPFit package was used.To use obtained neural networks to process the data, 2 programs were written.

  12. Search for Z’-boson signal using neural networks A.N.Buryk and V.V.Skalozub Bibliographical links: 1. A.V.Gulov and V.V.Skalozub “Model-independent search for the Abelian Z’boson in the Bhabha process”, arXiv: hep-ph/0408076.2. MLPFit, http://home.cern.ch/~schwind/MLPfit.html

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