hod_mod: Galaxy Clustering, Lensing and X-ray / tSZ Cross-Correlations ====================================================================== **hod_mod** is a JAX-accelerated Python package for predicting and fitting galaxy–halo observables. It is organised around three observable **pipelines** that share one core halo-model engine: * **Galaxy clustering & lensing** — :math:`w_p(r_p)` and :math:`\Delta\Sigma(R)` from the More+2015 and Zu & Mandelbaum 2015 models. * **Galaxy × X-ray** — soft X-ray emission from hot gas and AGN (ongoing). * **Galaxy × thermal SZ** — Compton-:math:`y` cross-correlation (new). The package layout mirrors this: ``core`` (cosmology + halo model), ``connection`` (galaxy–halo occupation), ``gas`` and ``agn`` (the fields), and ``observables`` (the pipelines), with ``fitting`` and the ``hod-mod`` CLI on top. .. toctree:: :maxdepth: 2 :caption: User Guide overview forward_model_showcase data_formats data_hosting scripts .. toctree:: :maxdepth: 2 :caption: Pipeline — Galaxy Clustering & Lensing hod_more2015 hod_zumandelbaum2015 fitting_more2015 .. toctree:: :maxdepth: 2 :caption: Pipeline — Galaxy × X-ray direct_prediction_gal_gas xray_joint_fit .. toctree:: :maxdepth: 2 :caption: Pipeline — Galaxy × thermal SZ pipeline_gal_tsz .. toctree:: :maxdepth: 2 :caption: Sensitivity & Forecasts sensitivity_fisher stage4_forecast tier2_forecast missing_physics missing_physics_implementation tier3_forecast tier4_forecast sensitivity_benchmark .. toctree:: :maxdepth: 2 :caption: Benchmarks benchmark_more2015 benchmark_zumandelbaum2015_multisample .. toctree:: :maxdepth: 1 :caption: BGS Analysis bgs_ls10_wp_survey bgs_comparat2025_mstar10_joint_fit timing_joint_model .. toctree:: :maxdepth: 2 :caption: API Reference cosmology halos galaxies fitting data_io references Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`