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--- nmma [2022/08/16 21:18]
theoastro
+++ nmma [2023/06/16 14:37] (current)
theoastro
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 NMMA is a fully featured, Bayesian multi-messenger pipeline targeting joint analyses of gravitational-wave and electromagnetic data. Using bilby as the back-end, the software is capable of sampling these data sets using a variety of samplers. It uses chiral effective field theory based neutron star equation of states when performing inference, and is also capable of estimating the Hubble Constant.
+{{:nmma_cover.jpg}}
+=== NMMA: Starter guide ===
   * [[installation_nmma|Installation of NMMA]]
-  * [[models_nmma|Models]]
+  * [[models_nmma| Available models]]
-  * [[infparams_nmma|Inference parameters]]
   * [[injections_nmma|Injections]]
+  * [[obs_data|Observational data]]
   * [[lc_generation|Light curve generation ]]
-  * [[lc_inference|Light curve inference]]
-  * [[lc_comb_inference|Combined light curve inference]]
+=== Bayesian inference ===
+  * [[infparams_nmma|Inference parameters]]
+  * [[lc_inference|Inference of electromagnetic signals]]
+  * [[lc_comb_inference|Inference of multiple EM signals]]
+  * [[gw_inference|Inference of gravitational-wave signals]]
   * [[inf_MMA|Multi-messenger inference]]
   * [[comb_analysis|Combined Analysis]]
+=== Including EOS information ===
+  * [[incl_EOS|Including EOS information]]
+  * [[obtaining_EOS_info|Obtaining EOS information]]
+=== Estimating binary source properties ===
   * [[gwem_resampling|GW-EM resampling]]
+=== Estimating the Hubble Constant ===
+=== Training ===
+  * [[model_grids|Create model grids]]

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