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flav-io / flavio

A Python package for flavour physics phenomenology in the Standard model and beyond
http://flav-io.github.io/
MIT License
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Adding BR(B0->pitaunu) . #58

Closed jackypheno closed 6 years ago

DavidMStraub commented 6 years ago

Thanks! But they actually have a >2 sigma hint for a signal, so just putting the bound is not entirely consistent. I think the key sentence is

The signal strength has been chosen such that µ = 1.0 corresponds to B(B0 → π−τ+ντ ) =1.0×10−4. We obtain a best fit of µ = 1.52±0.72

This can be directly treated as a Gaussian constraint.

DavidMStraub commented 6 years ago

Simply put, the correct code is

  values:
    BR(B0->pitaunu): 1.52 ± 0.72 e-4
coveralls commented 6 years ago

Coverage Status

Coverage remained the same at 90.704% when pulling 24e4f893521f0e09e8b6b77a034b1c41183cb6a4 on jackypheno:master into 9bf22171369c47e997376d0a0b79a80506ac84cb on flav-io:master.

jackypheno commented 6 years ago

Right, do we need to take into account the systematics? For example, https://arxiv.org/pdf/1608.05207.pdf takes additional 8% systematic error (see Eq. 1 ).

DavidMStraub commented 6 years ago

Oh! This was not so clear to me from the experimental paper, but yes probably this has to be added on top. Please add it in a separate PR as I have already merged this.