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inf_gw_only [2022/03/02 10:18]
theoastro
inf_gw_only [2022/03/02 10:28] (current)
theoastro
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 ===== Gravitational-Wave Inference ===== ===== Gravitational-Wave Inference =====
  
-For gravitational-wave parameter estimationNMMA builds on [[https://lscsoft.docs.ligo.org/bilby/|bilby]], [[https://lscsoft.docs.ligo.org/parallel_bilby|parallel-bilby]] and [[https://lscsoft.docs.ligo.org/bilby_pipe/0.3.12/installation.html|bilby-pipe]]. For a detailed description follow the links to respective repositories.+For gravitational-wave parameter estimationNMMA builds on [[https://lscsoft.docs.ligo.org/bilby/|bilby]], [[https://lscsoft.docs.ligo.org/parallel_bilby|parallel-bilby]] and [[https://lscsoft.docs.ligo.org/bilby_pipe/0.3.12/installation.html|bilby-pipe]] as back-end packages. For a detailed description follow the links to respective repositories. However, with special patches developed for bilby and parallel-bilby, NMMA enables to sample over EOSs during parameter estimation runs and, hence, allows to include more physical information of BNSs.  
 + 
 +==== Example ==== 
 + 
 +Here, we consider an injection study published [[https://arxiv.org/abs/2110.11835|here]]. The study investigated how the combination of BNS information from multiple gravitational-wave detections will decrease statistical measurement uncertainties in the NS radius and tried to quantify the impact of waveform model systematics with in total 152 BNS parameter estimation simulations. 
 + 
 +=== Installation of bilby and parallel-bilby with patches ===
  
-With special patches developed for bilby and parallel-bilby, NMMA enables to sample over EOSs during parameter estimation runs and, hence, allows to include more BNS information.  
  
-** Example** 
-Here, we consider an injection study published [[https://arxiv.org/abs/2110.11835|here]]. The study investigated how the combination of information from multiple BNS detections will decrease statistical measurement uncertainties in the NS radius and tried to quantify the impact of waveform model systematics with in total 152 BNS parameter estimation simulations. 
Last modified: le 2022/03/02 10:18