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## Results
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| event | coordinator | comments | links | review status | reviewers comments
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| event | coordinator(s) | comments | links | review status | reviewers comments
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| ------ | ------ |------ | ------ | ------ | ------ |
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| GW150914 | IRS | [LALInferenceNest samples](https://geo2.arcca.cf.ac.uk/~spxjdv1/LVC/O1/PE/rerun_O2_catalog/G184098/lalinferencenest/IMRPhenomPv2pseudoFourPN/1126259462.39-1/H1L1/posterior_samples.dat) [LALInferenceMCMC samples](https://geo2.arcca.cf.ac.uk/~spxjdv1/LVC/O1/PE/rerun_O2_catalog/G184098/lalinferencemcmc/IMRPhenomPv2pseudoFourPN/1126259462.39-0/H1L1/posterior_samples.dat)| [comparison page](https://ldas-jobs.ligo.caltech.edu/~cbc/pe/bilby_lalinference_comparison/GW150914/nest_vs_mcmc_vs_bilby/home.html) | reviewed| :heavy_check_mark: (see minutes [here](https://git.ligo.org/lscsoft/bilby_pipe/wikis/O3-review/minutes/190813#minutes)) |
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| GW151012 | Jade Powell & Sanghoon Oh | | | TBD| |
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| ... | ... | @@ -36,9 +36,36 @@ We compare all results to LALInference Nest and MCMC runs using the IMRPhenomPv2 |
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These are the top-level instructions for PE-group members running bilby on the known events and comparing the results with LALInference. If you have questions or comments, we plan to coordinate on the [bilby-devel](https://chat.ligo.org/ligo/channels/bilby-devel) channel of chat.ligo.
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1. Clone the [bilby event samples repository](https://git.ligo.org/gregory.ashton/bilby_pe_event_samples), this is where all results will ultimately be hosted and has detailed instructions for running bilby.
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2. Identify a python installation with `bilby>0.5.4`, and `bilby_pipe>0.2.3` (or install these in your own environment)
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1. Identify a python installation with `bilby>=0.5.4`, and `bilby_pipe>=0.2.3`. You are free to do this however you like, one easy way (on CIT) is to run the following commands:
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```bash
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$ source /cvmfs/ligo-containers.opensciencegrid.org/lscsoft/conda/latest/etc/profile.d/conda.sh
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$ conda activate ligo-py37
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```
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To check which versions of both bilby and bilby_pipe you are running, you can do the following:
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```bash
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$ bilby_pipe --version
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23:21 bilby_pipe INFO : Running bilby_pipe version: 0.2.3: (CLEAN) 7e96aaa 2019-08-15 10:11:12 +1000
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23:21 bilby INFO : Running bilby version: 0.5.4:
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bilby_pipe 0.2.3: (CLEAN) 7e96aaa 2019-08-15 10:11:12 +1000
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```
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2. Clone the [bilby event samples repository](https://git.ligo.org/gregory.ashton/bilby_pe_event_samples), this is where all results will ultimately be hosted.
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3. Copy the `run_settings_directory` from your event to somewhere which makes sense to you, for example
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```bash
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$ mkdir ~/public_html/bilby_runs/GWXXXXXX/
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$ cp ~/bilby_pe_event_samples/GWXXXXXX/run_setting_files/* ~/public_html/bilby_runs/GWXXXXXX/
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```
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3. Run bilby on your event using the configuration files and priors listed above
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```bash
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$ ~/public_html/bilby_runs/GWXXXXXX/
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$ bilby_pipe GWXXXXXX_dynesty_IMRPhenomPV2.ini --submit
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```
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4. Import the results using the `import_results.py` script
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4. Identify the set of LALInference posterior samples (ideally one for MCMC and one for Nest) that you'll compare against.
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5. Create a pesummary page comparing the reweighted bilby samples and the L.I. results |
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\ No newline at end of file |
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5. Identify the set of LALInference posterior samples (ideally one for MCMC and one for Nest) that you'll compare against.
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6. Create a pesummary page comparing the reweighted bilby samples and the L.I. results |
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\ No newline at end of file |
