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Description:

kilonovaheatingrate 0.1.0

kilonova-heating-rate
This is a Python package to calculate kilonova light curves using the
Hotokezaka & Nakar (2019) model, which assumes radioactive heating, a power-law
velocity profile, and gray opacities that are a piecewise-constant function of
velocity.
This Python package is based on the original source code release from the 2019
paper (https://github.com/hotokezaka/HeatingRate), but includes the following
enhancements:

Easy to install with Pip, the Python package manager.
Physical units are integrated with Astropy, the community Python
package for astronomy.
Flexible specification of opacities: either constant, or piecewise
constant as a function of ejecta velocity.
Fast due to the use of Numpy to evaluate the right-hand side of the
system of ordinary differential equations that is solved to evalute the light
curve.

To cite
If you use this work to produce a peer-reviewed journal article, please cite
the following papers:

Korobkin, O., Rosswog, S., Arcones, A., & Winteler, C. 2012, "On the
astrophysical robustness of the neutron star merger r-process," Monthly
Notices of the Royal Astronomical Society, 426, 1940.
https://doi.org/10.1111/j.1365-2966.2012.21859.x
Hotokezaka, K. & Nakar, E. 2020, "Radioactive Heating Rate of r-process
Elements and Macronova Light Curve," Astrophysical Journal, 891, 152.
https://doi.org/10.3847/1538-4357/ab6a98

To install
Installation is easy with Pip:
$ pip install kilonova-heating-rate

To use
See example code in example.py.