code used in the work arXiv:1811.06869 to analyze the scalar potential of the left-right symmetry model. If you use the code in your publication, please cite the paper 1811.06869.
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analytic-output-c++python.nb generate the analytic expression of the potential
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main.nb\percentages: this part of code will read the data in (Fig.3 ) percentage-data/all; (Fig.4 a ) percentage-data/posall-abfix; (Fig.4 b) percentage-data/strong-constraints. and then analyse each sample to see how many of them are of type A, B, C, D. E...
percentage-data is generated by compute-v6-gen.py (for Fig.3) compute-v8.py (for Fig.4) one needs to modify compute-v8.py/setsome(c) to choose between Fig.4 a and Fig. b.
VfunCPV.py is a piece of code containing the potential expression, which is used in compute-v6-gen.py and compute-v8.py
it is generated by analytic-output-c++python.nb
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main.nb\For-Alpha123Beta123-plots: this part of code generates inputs and writes into scan-a123b123-data/input*.h5 then invokes compute-a123b123.py to compute the samples in scan-a123b123-data/input*.h5, the output is in scan-a123b123-data/result*.h5; then the mathematica code proceeds to deal with these samples and make those plots. ++++++++++++++++++++++++++++++++++++++++
main.nb\For-m11m22-plots:
Obsolete. replaced by patch_m11m22.nb