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Philip Rodrigues

Publications and source records attributed to Philip Rodrigues.

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Constraining the GENIE model of neutrino-induced single pion production using reanalyzed bubble chamber data

The longstanding discrepancy between bubble chamber measurements of $ν_μ$-induced single pion production channels has led to large uncertainties in pion production cross section parameters for many years. We extend the reanalysis of pion production data in deuterium bubble chambers where this discrepancy is solved (Wilkinson et al., PRD 90 (2014) 112017) to include the $ν_μn\rightarrow μ^{-}pπ^{0}$ and $ν_μn\rightarrow μ^{-}nπ^{+}$ channels, and use the resulting data to fit the parameters of the GENIE (Rein-Sehgal) pion production model. We find a set of parameters that can describe the bubble chamber data better than the GENIE default parameters, and provide updated central values and reduced uncertainties for use in neutrino oscillation and cross section analyses which use the GENIE model. We find that GENIE's non-resonant background prediction has to be significantly reduced to fit the data, which may help to explain the recent discrepancies between simulation and data observed by the MINERvA coherent pion and NOvA oscillation analyses.

hep-ex

Reanalysis of bubble chamber measurements of muon-neutrino induced single pion production

There exists a longstanding disagreement between bubble chamber measurements of the single pion production channel $ν_μp\rightarrow μ^{-}pπ^{+}$ from the Argonne and Brookhaven National Laboratories. We digitize and reanalyse data from both experiments to produce cross-section ratios for various interaction channels, for which the flux uncertainties cancel, and find good agreement between the experiments. By multiplying the cross-section ratio by the well-understood charged current quasi-elastic cross-section on free nucleons, we extract single-pion production cross-sections which do not depend on the flux normalization predictions. The $ν_μp\rightarrow μ^{-}pπ^{+}$ cross-sections we extract show good agreement between the ANL and BNL datasets.

hep-ex