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Resources for NP analysis of semileptonic b to c observables with SNNs. Contains data-sets, trained neural-nets, fit-results, and examples for use.

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MLResourcesForSemileptonic-b2c

Resources for NP analysis of semileptonic b to c observables with SNNs. Contains data-sets, trained neural-nets, fit-results, and examples for use.

This repository is part of the paper archived here: https://inspirehep.net/literature/1811097 If you use this, please cite the paper using the bibliographic codes from that link.

Usage

  • Download a copy of this repository in your local machine (or clone it).
  • Open the Example.nb file in Mathematica.
  • Load the required files and then go through the "Analyze Results" section step-by-step. It has detailed examples to analyze and use the results.

Authors

This is a work by the group CSB-IITG. Please check out our web-page for further details and our other works, here: https://csbiitg.github.io/

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Resources for NP analysis of semileptonic b to c observables with SNNs. Contains data-sets, trained neural-nets, fit-results, and examples for use.

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