Revision 1767cceaa7edbc0db626de61a6124f73c64e162e authored by Francesco Pannarale on 30 June 2023, 10:45:21 UTC, committed by GitHub on 30 June 2023, 10:45:21 UTC
* Space before colons in eos_utils.py help messages * Enable extrapolation in eos_utils.py when NS is out of bounds * Same check on shape in primary_mass and secondary mass * Function to swap masses and spins of object 1 and object2 * Allow user to request for remnant_mass calculations: 1) extrapolation, 2) swapping object 1 and object 2 if mass2 > mass1, 3) treat as a (dark) BBH and NSBH with NS mass greater than a value probided by the user * Renamned swap_companions to ensure_obj1_is_primary and generalized it * codeclimate * codeclimate * Fixed line that was too long * Fixed docstring and using keywords explicitly in all remnant_mass_* calls * Renamed max_ns_mass as ns_bh_mass_boundary and improved help messages of functions * Improved docstings * Comprehensions in pycbc_brute_bank * Complying to naming convention for spin components in spherical coordinates * Update conversions.py Fixing single code climate complaint.
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descr.rst
`PyCBC <http://pycbc.org>`_ is a software package used to explore astrophysical sources of gravitational waves. It contains algorithms to analyze gravitational-wave data from the LIGO and Virgo detectors, detect coalescing compact binaries, and measure the astrophysical parameters of detected sources. PyCBC was used in the `first direct detection of gravitational waves <https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.116.061102>`_ and is used in the flagship analysis of LIGO and Virgo data.
PyCBC is developed collaboratively and lead by a team of GW astronomers with the aim to build accessible tools for gravitational-wave data analysis. One of the easiest ways to get a full software environment is by `downloading one of our docker images. <http://pycbc.org/pycbc/latest/html/docker.html>`_
Some interactive examples using portions of the PyCBC library are also hosted as jupyter notebooks on Microsoft Azure. `Feel free to give them a try. <https://notebooks.azure.com/nitz/libraries/pycbc>`_ You can also explore the `full documentation pages <http://pycbc.org/pycbc/latest/html/index.html>`_ or the `source code on GitHub. <https://github.com/gwastro/pycbc>`_
If you use PyCBC in scientific publications, please see our `citation guidelines. <http://pycbc.org/pycbc/latest/html/credit.html>`_
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