gwcelery.tasks.p_astro module¶
Computation of p_astro
by source category and utilities
related to p_astro.json
source classification files.
See Kapadia et al (2019), arXiv:1903.06881, for details.
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(task)
gwcelery.tasks.p_astro.
compute_p_astro
(snr, far, mass1, mass2, pipeline, instruments)[source]¶ Task to compute p_astro by source category.
Parameters: Returns: p_astros – JSON dump of the p_astro by source category
Return type: Example
>>> p_astros = json.loads(compute_p_astro(files)) >>> p_astros {'BNS': 0.999, 'BBH': 0.0, 'NSBH': 0.0, 'Terrestrial': 0.001}
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(task)
gwcelery.tasks.p_astro.
plot
(contents)[source]¶ Make a visualization of the source classification.
Parameters: contents (str, bytes) – The contents of the p_astro.json
file.Returns: png – The contents of a PNG file. Return type: bytes Notes
The unusually small size of the plot (2.5 x 2 inches) is optimized for viewing in GraceDB’s image display widget.
Examples
>>> from gwcelery.tasks import p_astro >>> contents = ''' ... {"Terrestrial": 0.001, "BNS": 0.65, "NSBH": 0.20, ... "MassGap": 0.10, "BBH": 0.059} ... ''' >>> p_astro.plot(contents)
(Source code, png, hires.png, pdf)