Roq set time step
This hopefully reduces the bias due to insufficient time sampling when constructing the weights.
It looks unbiased for arbitrarily loud heavy BBH.
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added 3 commits
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f370a694...502ba66c - 2 commits from branch
master
- 626267cf - Merge branch 'master' into 'roq_set_time_step'
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f370a694...502ba66c - 2 commits from branch
added 11 commits
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3f3e0e3b...1db36052 - 10 commits from branch
master
- 00431cf0 - Merge branch 'master' into 'roq_set_time_step'
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3f3e0e3b...1db36052 - 10 commits from branch
changed milestone to %0.4.1
I'm getting the following error when running on IFO data
01:12 bilby_pipe INFO : Using the ROQ likelihood with roq-folder=/home/cbc/ROQ_data/IMRPhenomPv2/4s/ Traceback (most recent call last): File "/home/gregory.ashton/anaconda3/bin/bilby_pipe_analysis", line 11, in <module> load_entry_point('bilby-pipe==0.0.3', 'console_scripts', 'bilby_pipe_analysis')() File "/home/gregory.ashton/anaconda3/lib/python3.6/site-packages/bilby_pipe-0.0.3-py3.6.egg/bilby_pipe/data_analysis.py", line 367, in main analysis.run_sampler() File "/home/gregory.ashton/anaconda3/lib/python3.6/site-packages/bilby_pipe-0.0.3-py3.6.egg/bilby_pipe/data_analysis.py", line 338, in run_sampler likelihood=self.likelihood, File "/home/gregory.ashton/anaconda3/lib/python3.6/site-packages/bilby_pipe-0.0.3-py3.6.egg/bilby_pipe/data_analysis.py", line 306, in likelihood distance_marginalization=self.distance_marginalization, File "/home/gregory.ashton/anaconda3/lib/python3.6/site-packages/bilby-0.4.0-py3.6.egg/bilby/gw/likelihood.py", line 434, in __init__ self._set_weights() File "/home/gregory.ashton/anaconda3/lib/python3.6/site-packages/bilby-0.4.0-py3.6.egg/bilby/gw/likelihood.py", line 541, in _set_weights self._get_time_resolution(ifo)) File "/home/gregory.ashton/anaconda3/lib/python3.6/site-packages/bilby-0.4.0-py3.6.egg/bilby/gw/likelihood.py", line 629, in _get_time_resolution inj_snr = ifo.meta_data['optimal_SNR'] KeyError: 'optimal_SNR'
It looks like it might be assuming there is an injection?
mentioned in commit a9a16d22
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