معرفی شرکت ها
ctaplot-0.6.2
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مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
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مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
Compute and plot CTA IRFs
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | ctaplot-0.6.2 |
| نام | ctaplot |
| نسخه کتابخانه | 0.6.2 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Thomas Vuillaume, Mikael Jacquemont |
| ایمیل نویسنده | thomas.vuillaume@lapp.in2p3.fr |
| آدرس صفحه اصلی | https://github.com/cta-observatory/ctaplot |
| آدرس اینترنتی | https://pypi.org/project/ctaplot/ |
| مجوز | MIT |
=======
ctaplot
=======
ctaplot provides low-level reconstruction quality-checks metrics computation and vizualisation for Imaging Atmospheric Cherenkov Telescopes such as CTA
.. image:: https://travis-ci.org/cta-observatory/ctaplot.svg?branch=master
:target: https://travis-ci.org/cta-observatory/ctaplot
:alt: Travis CI
.. image:: https://readthedocs.org/projects/ctaplot/badge/?version=latest
:target: https://ctaplot.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. image:: https://img.shields.io/badge/license-MIT-blue.svg
:target: https://opensource.org/licenses/MIT
:alt: License: MIT
.. image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/cta-observatory/ctaplot/master?filepath=examples%2Fnotebooks
.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.5833854.svg
:target: https://doi.org/10.5281/zenodo.5833853
You may find examples in the `documentation <https://ctaplot.readthedocs.io/en/latest/>`_ and run them via mybinder.
----
* Code : https://github.com/cta-observatory/ctaplot
* Documentation : https://ctaplot.readthedocs.io/en/latest/
* Author contact: Thomas Vuillaume - thomas.vuillaume@lapp.in2p3.fr
* License: MIT
----
The CTA instrument response functions data used in ctaplot come from the CTA Consortium and Observatory and may be found on the `cta-observatory website <http://www.cta-observatory.org/science/cta-performance/>`_ .
In cases for which the CTA instrument response functions are used in a research project, we ask to add the following acknowledgement in any resulting publication:
“This research has made use of the CTA instrument response functions provided by the CTA Consortium and Observatory, see http://www.cta-observatory.org/science/cta-performance/ (version prod3b-v2) for more details.”
----
Install
=======
Requirements packages:
* python > 3.6
* numpy
* scipy>=0.19
* matplotlib>=2.0
* astropy
We recommend the use of `anaconda <https://www.anaconda.com>`_
The package is available through pip:
.. code-block:: bash
pip install ctaplot
.. code-block:: bash
export GAMMABOARD_DATA=path_to_the_data_directory
We recommend that you add this line to your bash source file (`$HOME/.bashrc` or `$HOME/.bash_profile`)
GammaBoard
==========
*A dashboard to show them all.*
GammaBoard is a simple jupyter dashboard thought to display metrics assessing the reconstructions performances of
Imaging Atmospheric Cherenkov Telescopes (IACTs).
Deep learning is a lot about bookkeeping and trials and errors. GammaBoard ease this bookkeeping and allows quick
comparison of the reconstruction performances of your machine learning experiments.
It is a working prototype used especially by the `GammaLearn <https://purl.org/gammalearn>`_ project.
Run GammaBoard
--------------
To launch the dashboard, you can simply try the command:
.. code-block:: bash
gammaboard
This will run a temporary copy of the dashboard (a jupyter notebook).
Local changes that you make in the dashboard will be discarded afterwards.
GammaBoard is using data in a specific directory storing all your experiments files.
This directory is known under `$GAMMABOARD_DATA` by default.
However, you can change the path access at any time in the dashboard itself.
Demo
----
Here is a simple demo of GammaBoard:
* On top the plots (metrics) such as angular resolution and energy resolution.
* Below, the list of experiments in the user folder.
When an experiment is selected in the list, the data is automatically loaded, the metrics computed and displayed.
A list of information provided during the training phase is also displayed.
As many experiments results can be overlaid.
When an experiment is deselected, it simply is removed from the plots.
.. image:: /share/gammaboard.gif
:alt: gammaboard_demo
Cite
====
We would appreciate you cite the version of ctaplot you used using the corresponding Zenodo DOI that cound find here: https://doi.org/10.5281/zenodo.5833853
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6 | Python |
نحوه نصب
نصب پکیج whl ctaplot-0.6.2:
pip install ctaplot-0.6.2.whl
نصب پکیج tar.gz ctaplot-0.6.2:
pip install ctaplot-0.6.2.tar.gz