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* Apache 2.0 LICENSE
* modfy READMEs, LICENSE; add EXTERNAL_ATTRIBUTION.md
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* pep-ify barlow.py, add attribution as attrs; update stats.py
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87 changes: 87 additions & 0 deletions EXTERNAL_ATTRIBUTION.md
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# External software and data in PISA

PISA is distributed with some software and data obtained from outside the IceCube Collaboration.
The authors and any pertinent copyrights are listed below.
If you identify any mistakes in the below or find any other such components being distributed with PISA that are not listed here, please [email]([email protected]) or [file an issue](http://github.com/icecubeopensource/pisa).

Unless noted below or in the contents of an individual file, all files distributed with PISA are Copyright (c) 2014-2017, The IceCube Collaboration, and are licensed under the Apache 2.0 license.
See the LICENSE file for details.

## Prob3++

Files in the directory `pisa/stages/osc/prob3` were written by members of the Super-Kamiokande collaboration and are offered for public use. The original source code can be found at
> http://webhome.phy.duke.edu/~raw22/public/Prob3++
and that work is based on the paper
> V. D. Barger, K. Whisnant, S. Pakvasa, and R. J. N. Phillips, Phys. Rev. D 22, 2718 (1980)
## prob3GPU

Files in the directory `pisa/pisa/stages/osc/prob3cuda` were adapted from the CUDA re-implementation of Prob3++ called prob3GPU
> https://github.com/rcalland/probGPU
which is cited by the paper
> R. G. Calland, A. C. Kaboth, and D. Payne, Journal of Instrumentation 9, P04016 (2014).
## Honda et al. flux models

Files in the directory `pisa/resources/flux` containing the name *honda* are from
> http://www.icrr.u-tokyo.ac.jp/~mhonda
with associated paper
> M. Honda, M. S. Athar, T. Kajita, K. Kasahara, and S. Midorikawa, Phys. Rev. D 92, 023004 (2015).
## Barr et al. flux models

Files in the directory `pisa/resources/flux` containing the name *bartol* are modified slightly (to have similar format to the work by Honda et al. cited above) from
> http://www-pnp.physics.ox.ac.uk/~barr/fluxfiles
with associated paper
G. D. Barr, T. K. Gaisser, P. Lipari, S. Robbins, and T. Stanev, Phys. Rev. D 70, 023006 (2004).

## PREM

The preliminary reference Earth model data in the `pisa/resources/osc` directory (named `PREM*`) come from the paper
> A. M. Dziewonski and D. L. Anderson, Physics of the Earth and Planetary Interiors 25, 297 (1981)
## KDE

The file `pisa/pisa/utils/vbwkde.py` contains an implementation of (part of) the paper
> Z. I. Botev, J. F. Grotowski, and D. P. Kroese, Ann. Statist. 38, 2916 (2010).
The functions `isj_bandwidth` and `fixed_point` therein are adapted directly from the Matlab implementation by Zdravko Botev at
> https://www.mathworks.com/matlabcentral/fileexchange/14034-kernel-density-estimator
and are therefore subject to the following copyright:
```
Copyright (c) 2007, Zdravko Botev
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the
distribution
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
```

## Versioneer

Automatic versioning is provided by public-domain sofware The Versioneer, written by Brian Warner (files `versioneer.py` and `pisa/_version.py`).
This project can be found at
> https://github.com/warner/python-versioneer
201 changes: 201 additions & 0 deletions LICENSE
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Apache License
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51 changes: 29 additions & 22 deletions README.md
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# PISA
[Introduction](pisa/README.md) |
[Installation](INSTALL.md) |
[Documentation](http://icecube.wisc.edu/%7Epeller/pisa_docs/index.html) |
[Terminology](pisa/glossary.md) |
[License](LICENSE) |
[Contributors](CONTRIBUTORS.md) |
[Others' work](EXTERNAL_ATTRIBUTION.md)

PINGU Simulation and Analysis (PISA) is software written for performing analyses based upon Monte Carlo simulations of the [IceCube neutrino observatory](https://icecube.wisc.edu/), including the [DeepCore](https://arxiv.org/abs/1109.6096) and proposed [PINGU](https://arxiv.org/abs/1401.2046) low-energy in-fill arrays (as well as other similar neutrino detectors).
PISA (PINGU Simulation and Analysis) is software written to analyze the results (or expected results) of an experiment based on Monte Carlo simulation.

PISA was originally developed to cope with low-statistics Monte Carlo (MC) for PINGU using parameterizations of the MC, but its methods should apply equally as well to high-MC situations, and the PISA architecture is general enough to easily accomoodate traditional reweighted-MC-style analyses.
In particular, PISA was written for the [IceCube Neutrino Observatory](https://icecube.wisc.edu/), including the [DeepCore](https://arxiv.org/abs/1109.6096) and the proposed [PINGU](https://arxiv.org/abs/1401.2046) low-energy in-fill arrays.
However, any such experiment—or any experiment at all—can make use of PISA for analyzing expected and actual results.

Visit the project Wiki for the latest documentation (not yet folded into the codebase):
* [PISA Cake wiki](https://github.com/jllanfranchi/pisa/wiki)
PISA was originally developed to cope with low-statistics Monte Carlo (MC) for PINGU when iterating on multiple proposed geometries by using parameterizations of the MC and operate on histograms of the data rather than directly reweighting the MC (as is traditionally done in high-energy Physics experiments).
However, PISA's methods apply equally well to high-MC situations, and PISA also performs traditional reweighted-MC analysis as well.

A compilation of the README files in to a set of documentation using Sphinx can be found at: http://icecube.wisc.edu/~peller/pisa_docs/index.html
## Directory listing


## Directory Listing

* `docs/` - Directory containing the output of Sphinx auto-generating the documentation.
* `images/` - Directory containing the git fork button.
* `pisa/` - Directory containing all of the PISA code.
* `tests/` - Contains all the python scripts for tests on the performance of PISA.
* `.gitattributes`
* `.gitignore` - Ignore files within the directories matching these specifications
* `INSTALL.md` - How to install PISA
* `MANIFEST.in`
* `README.md` - Brief overview of PISA
* `pylintrc` - PISA coding conventions for use with pylint
* `requirements.txt` - Hard dependencies, use with ``pip install -r requirements.txt``
* `setup.cfg` - Setup file for `versioneer`
* `setup.py` - Python setup file, for use with `pip`
* `versioneer.py` - Automatic versioning
| File/directory | Description
| ------------------ | -----------
| `docs/` | Sphinx auto-generated documentation
| `images/` | Images to include in documentation
| `pisa/` | Source code
| `tests/` | Scripts for running physics and unit tests
| `.gitattributes` |
| `.gitignore` | GIT ignores files matching these specifications
| `INSTALL.md` | How to install PISA
| `MANIFEST.in` |
| `README.md` | Brief overview of PISA
| `pylintrc` | PISA coding conventions for use with pylint
| `requirements.txt` | Hard dependencies, use with `pip install -r requirements.txt`
| `setup.cfg` | Setup file for `versioneer`
| `setup.py` | Python setup file, allowing e.g. `pip` installation
| `versioneer.py` | Automatic versioning
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