Thank you so much for the references.Orodruin said:
- Quantifying the sensitivity of oscillation experiments to the neutrino mass ordering, Blennow et al., JHEP 1403 (2014) 028, https://inspirehep.net/record/1263770
- Reassessing the sensitivity to leptonic CP violation, Blennow, Coloma, Fernandez-Martinez, JHEP 1503 (2015) 005, https://inspirehep.net/record/1306284
A Chi-Squared plot is a graphical representation of the Chi-Squared statistic, which is used to determine the difference between an observed data set and an expected data set. It helps to assess the goodness of fit between a theoretical model and actual data.
In particle physics, the Chi-Squared plot is used to analyze data from particle collisions and compare it to theoretical predictions. It helps to identify any discrepancies between the observed data and the expected data, which can indicate the presence of new particles or interactions.
CP violation refers to the violation of the combined symmetry of charge conjugation (C) and parity (P) in particle interactions. It is related to Chi-Squared plots because the presence of CP violation can be detected by analyzing the Chi-Squared plot and looking for deviations from the expected data.
The ranges in a CP violation plot represent the possible values of the CP violation parameter, which is a measure of the strength of CP violation in a particular particle interaction. These ranges can be determined by analyzing the Chi-Squared plot and finding the best fit for the observed data.
The Standard Model of particle physics is a theoretical framework that describes the fundamental particles and forces in the universe. Chi-Squared plots and CP violation ranges are used to analyze data from particle interactions and compare it to the predictions of the Standard Model. If the observed data agrees with the model, it provides validation for the Standard Model. However, if there are significant deviations from the expected data, it could indicate the need for a new model or theory.