遇见数据集

Preprocessed Rcusp–phi datasets for cusp flux-ratio anomaly studies

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Zenodo2026-03-12 更新2026-05-26 收录
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This dataset contains simulated data used for the statistical analysis of flux-ratio anomalies in cusp-configured strongly lensed quasars. The dataset consists of two pickle files that store mock lensing predictions generated under different dark matter model assumptions. The data characterize the dependence of the $R_{\mathrm{cusp}}$ statistic on the opening angle $\phi$ for different dark matter scenarios, and form the theoretical data basis for the Bayesian inference analysis presented in the associated manuscript (arXiv:2601.16818). File description (place the downloaded files into the new Data/ folder): merged_by_axis_type.pkl Simulated dataset based on the SIE plus external shear macromodel, including Smooth, CDM, SIDM, and FDM realizations of mock cusp lenses, grouped by cusp axis type (major-axis vs. minor-axis). merged_by_axis_type_mul.pkl Extended dataset constructed from merged_by_axis_type.pkl by incorporating higher-order multipole perturbations with m=3,4. lensed_qso_mock.fits Base mock lens catalog (SIE + external shear) used as the starting point for generating multipole-perturbed realizations and selecting cusp systems. lensed_qso_mock_multipole.fits Mock lens catalog with higher-order multipole perturbations added to the macromodel; contains merged lensing predictions for each simulated system. cusp_all_observable.fits Observable cusp-configured subset selected from lensed_qso_mock.fits after applying the observability cuts used throughout the analysis. cusp_all_observable_multipole.fits Observable cusp-configured subset selected from lensed_qso_mock_multipole.fits. OneSystem.tar.gz Example per-system output archive (lightcone, Rcusp-phi data, and MCMC chains) for a single mock lens system, useful for quick inspection or debugging. These files are designed to be read directly by the analysis scripts provided in the accompanying code repository:https://github.com/HouSiyuan2001/CuspDM

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Zenodo
创建时间:
2026-01-29
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