Rate-driven trigger pipeline for blazar neutrino association: Gaussian Process log-acceleration analysis of TXS 0506+056

This repository contains the complete, reproducible data and analysis pipelineassociated with the paper: “A predictive rate-driven trigger for blazar neutrino emission:log-acceleration, robustness to irregular sampling, and a proof of conceptwith TXS 0506+056”. The dataset includes:- Public Fermi-LAT gamma-ray light curve data for TXS 0506+056.- A fully documented Python pipeline implementing Gaussian Process reconstruction of logarithmic flux and its second temporal derivative (log-acceleration).- A surrogate-based null-hypothesis test using red-noise realizations to calibrate global false-alarm probabilities.- Quiescent-interval control tests demonstrating robustness against stochastic variability.- Scripts to reproduce all figures and statistical results reported in the associated manuscript. The rate-driven trigger identifies epochs of rapid dynamical evolutionin blazar jets, independent of absolute flux amplitude, and is designedto be robust against irregular sampling. This archive is intended for full reproducibility, reuse, and independentvalidation of the results presented in the manuscript.