Oscillation results from Neutrino 2022

<p>This archive contains the electronic version (ROOT format) of the results of the measurements of oscillation parameters presented by T2K at Neutrino 2022 (Updated run 1-10 results with the additional multi-ring sample at SK).</p> <p>Both Bayesian and frequentist results are provided for the different oscillation parameters, with 2D confidence/credible regions and 1D DeltaChi2/posterior probability distributions. The Bayesian and frequentist results are separated into two different files, and additionally a tag in the TGraph and histogram names allow differentiating them.</p> <p>In addition to the results in each mass hierarchy hypothesis, the Bayesian file also includes the results marginalized over the mass hierarchy, denoted by a tag &quot;both&quot; in the object names. Please note that Bayesian and frequentist results use different conventions for the mass splitting in the inverted hierarchy: the Bayesian results are in terms of <span class="math-tex">\(\Delta m^2_{32}\)</span> for both normal (NH) and inverted (IH) hierarchies, whereas the frequentist results are plotted versus <span class="math-tex">\(\Delta m^2_{32}\)</span> for the NH, and <span class="math-tex">\(\left| \Delta m^2_{31} \right|\)</span> for the IH. When used, the constraint on theta13 from reactor experiment results corresponds to the value in the PDG 2020 summary table:&nbsp; <span class="math-tex">\(\sin^2(\theta_{13})=(2.20\pm0.07)\times10^{-2}\)</span></p> <p><strong>Objects inside the ROOT files</strong><br> ROOT objects contained inside the file are named first with an identifier of which parameter(s) are being shown, followed by a tag &quot;wRC&quot; or &quot;woRC&quot; - indicating whether or not the PDG constraint on theta13 has been applied, followed by another tag &quot;NH&quot;, &quot;IH&quot; or &quot;both&quot; - indicating whether the result is respectively for the normal hierarchy,&nbsp; inverted hierarchy or marginalized over the mass hierarchy (this last case is only included in the Bayesian result file).</p> <p><strong>2D regions</strong><br> Objects of the form gr2D_varX_varY_&lt;wRC,woRC&gt;_&lt;NH,IH,both&gt;_&lt;conf,cred&gt;&lt;68,90,955,997&gt;(_N) are TGraphs corresponding to the 2D confidence (&quot;conf&quot;) or credible (&quot;cred&quot;) regions for the 2 variables (varX, varY). N is the iterator for different TGraphs corresponding to the same region. 68, 90, 955, 997 correspond respectively to 1-sigma, 90%, 2-sigma, and 3-sigma regions.</p> <p>The best-fit markers are also provided for the 2D results:<br> gr2D_varX_varY_&lt;wRC,woRC&gt;_&lt;NH,IH,both&gt;_bestfit</p> <p>The best fit markers and contour lines are computed for each MH *separately*, i.e. assuming DeltaChi2 is 0 at the minimum or that the total posterior probability integrates to 1 in the mass hierarchy considered.</p> <p><strong>1D properties</strong><br> Objects of the form h1D_var&lt;chi2,posterior&gt;_&lt;wRC,woRC&gt;_&lt;NH,IH&gt; are TH1D of the DeltaChi2 (&quot;chi2&quot;) or posterior probability (&quot;posterior&quot;) for oscillation parameter &quot;var&quot;.</p> <p>The Bayesian and frequentist results use different conventions with respect to the mass hierarchy:<br> - 1D DeltaChi2 plots use a global minimum over both hierarchies<br> - each 1D posterior probability plot integrates to unity *individually*</p> <p>&nbsp;</p>