danton

Name	danton JSON
Version	1.5.8 JSON
	download
home_page	None
Summary	DecAyiNg Taus frOm Neutrinos (Danton).
upload_time	2024-10-28 10:00:05
maintainer	None
docs_url	None
author	None
requires_python	>=3.7.0
license	LGPLv3
keywords	neutrino tau monte carlo backward
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # Danton [![Documentation Status](https://readthedocs.org/projects/danton/badge/?version=latest)](https://danton.readthedocs.io/en/latest/?badge=latest)
( **D**ec**A**yi**N**g **T**aus fr**O**m **N**eutrinos )


## Description

Danton is a Python package designed specifically for the sampling of tau decays
from ultra-high energy neutrinos interacting with the Earth's surface. It is
capable of running in forward or backward Monte Carlo, and can also be
configured to sample tau fluxes instead of decay densities, or to sample
transmitted neutrino fluxes.

The interface has been designed with simplicity in mind. That is, Monte Carlo
particles are injected into the simulation geometry as a `numpy.ndarray`, and
`numpy.ndarray`s of Monte Carlo states are returned. This basic workflow is
illustrated below,

```python
import danton

simulation = danton.Simulation()
particles = danton.particles(10000, energy=1E+09, elevation=1.0)
result = simulation.run(particles)
```


## License
The Danton source is distributed under the **GNU LGPLv3** license. See the
provided [LICENSE](LICENSE) and [COPYING.LESSER](COPYING.LESSER) files.

            

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    "description": "# Danton [![Documentation Status](https://readthedocs.org/projects/danton/badge/?version=latest)](https://danton.readthedocs.io/en/latest/?badge=latest)\n( **D**ec**A**yi**N**g **T**aus fr**O**m **N**eutrinos )\n\n\n## Description\n\nDanton is a Python package designed specifically for the sampling of tau decays\nfrom ultra-high energy neutrinos interacting with the Earth's surface. It is\ncapable of running in forward or backward Monte Carlo, and can also be\nconfigured to sample tau fluxes instead of decay densities, or to sample\ntransmitted neutrino fluxes.\n\nThe interface has been designed with simplicity in mind. That is, Monte Carlo\nparticles are injected into the simulation geometry as a `numpy.ndarray`, and\n`numpy.ndarray`s of Monte Carlo states are returned. This basic workflow is\nillustrated below,\n\n```python\nimport danton\n\nsimulation = danton.Simulation()\nparticles = danton.particles(10000, energy=1E+09, elevation=1.0)\nresult = simulation.run(particles)\n```\n\n\n## License\nThe Danton source is distributed under the **GNU LGPLv3** license. See the\nprovided [LICENSE](LICENSE) and [COPYING.LESSER](COPYING.LESSER) files.\n",
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