Data and Software for: How can the optical variation properties of active galactic nuclei be unbiasedly measured

Codes and data of the paper How can the optical variation properties of active galactic nuclei be unbiasedly measured. The structure of this repository is as follows: DRW_library.py module for generating and fitting DRW light curves Suberlak_module.py module for generating and fitting DRW light curves(written by Suberlak, from his Github) sDRW.py code for reproducing Suberlak+21 result MCMC codes, data and figures of the Section 2 in our paper optimize data and codes for figures and results of Section 3.1-3.4 in our paper real Strategy codes, data, and figures for the results of Section 3.5 in our paper show code for plotting Figure 1 in our paper kDRW codes and data for reproducing Kozlowski17 result. supplement discussions about problems proposed by referees, including: celerite_posterior code for plotting the posterior of celerite method different_MC confirm different MCMC samplers have no effect on our results extra error add a noise term to the kernel function, and plot the result PRH_posterior codes and data for plotting the posterior of the PRH method Not all codes and data are included here because some programs are stored and performed on the server. Some data is too large to be uploaded. Contact me: [e-mail]