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توضیحات

A GRB light-curve analysis package.

ویژگی	مقدار
سیستم عامل	OS Independent
نام فایل	PyGRB-1.0.2
نام	PyGRB
نسخه کتابخانه	1.0.2
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	James Paynter
ایمیل نویسنده	jims.astronomy@gmail.com
آدرس صفحه اصلی	https://github.com/JamesPaynter/PyGRB
آدرس اینترنتی	https://pypi.org/project/PyGRB/
مجوز	BSD-3

|JOSS| |Travis| |Coverage| |Docs| |pypi| |version| |AstroPy| .. image:: https://github.com/JamesPaynter/PyGRB/blob/master/docs/source/images/logo.png :align: center :alt: PyGRB logo .. inclusion-marker-one-liner-start A gamma-ray burst (GRB) light-curve analysis package. .. inclusion-marker-one-liner-end .. inclusion-marker-what-it-does-start Introduction ------------ *PyGRB* is a package to download gamma-ray burst (GRB) .FITS files from the relevant data archives (eg. NASA HEARSAC). At the moment only `BATSE <https://heasarc.gsfc.nasa.gov/FTP/compton/data/batse/>`__ data can be downloaded and analysed with the software, although with only slight tweaks GRBs from other satellites can be easily analysed. The code is then able to create light-curves from either pre-binned data or time-tagged photon-event data. Light-curves may then be fitted with with pulse models, for further analysis. Model fitting is done with nested sampling, powered by `Bilby <https://lscsoft.docs.ligo.org/bilby/index.html>`__, and `Dynesty <https://dynesty.readthedocs.io/>`__ and/or `Nestle <https://github.com/kbarbary/nestle>`__. Installation ^^^^^^^^^^^^ The *PyGRB* repository maybe be installed manually through cloning the repository .. code-block:: console $ git clone https://github.com/JamesPaynter/PyGRB $ cd PyGRB $ pip install -r requirements.txt $ pip install . or by downloading the compiled version from `PyPI <https://pypi.org/project/PyGRB/>`__ .. code-block:: console $ pip install pygrb Installation of *PyGRB* and its dependencies should take no longer than a couple of minutes. Then import *PyGRB* through ``import PyGRB``. .. inclusion-marker-what-it-does-end .. inclusion-marker-pulse-types-start Pulse types ------------ Description of GRB pulse phenomenology. .. image:: https://github.com/JamesPaynter/PyGRB/blob/master/docs/source/images/equations/FRED.gif :align: center :alt: FRED eqn: $I(t) = A \exp{ - \xi \left( \frac{t - \Delta}{\tau} + \frac{\tau}{t-\Delta} \right)}$ .. inclusion-marker-pulse-types-end `See documentation for more <https://pygrb.readthedocs.io/en/latest/user/pulses.html>`__ .. role:: python(code) :language: python .. image:: https://github.com/JamesPaynter/PyGRB/blob/master/docs/source/images/BATSE_trigger_7475_rates_rates.png :align: center :alt: BATSE trigger 7475 Usage ------ .. inclusion-marker-usage-start Say we would like to fit a GRB light-curve such as the above, and determine its pulse parameters. First we must load the relevant modules. .. code-block:: python from PyGRB.main.fitpulse import PulseFitter from PyGRB.backend.makemodels import create_model_from_key The :python:`PulseFitter` class is the main workhorse of the software. .. code-block:: python GRB = PulseFitter(7475, times = (-2, 60), datatype = 'discsc', nSamples = 200, sampler = 'nestle', priors_pulse_start = -5, priors_pulse_end = 30) The first argument specifies the BATSE trigger to be analysed, in this case trigger 7475. Times can either be specified as :python:`'T90'`, :python:`'full'`, or a tuple of start and end times. In the case of trigger 7475, most of the action happens over about (-2, 60), so we choose this interval for our times. The :python:`nSamples` parameter determines how many live points the nested sampler is initiated with. The :python:`sampler` parameter is used to choose between samplers. The :python:`priors_pulse_start` and :python:`priors_pulse_end` parameters are used to set the (uniform) interval over which the program will allow the pulse start times. The :python:`datatype` parameter specifies which kind of data we would like to download and analyse. Typically :python:`'discsc'` is the most useful. :python:`'tte'` is better for short GRBs. The data will be downloaded and stored in :code:`data/`. :python:`create_model_from_key` allows us to specify pulse models based on a simple key. The simple pulse type, a fast-rise exponential-decay (FRED) pulse, is utilised by .. code-block:: python key = 'F' model = create_model_from_key(key) Finally, we run the model through the sampler .. code-block:: python GRB.main_multi_channel(channels = [0, 1, 2, 3], model = model) The data products are stored in :code:`products/`. .. inclusion-marker-usage-end We should be left with a light-curve that looks like this: .. image:: https://github.com/JamesPaynter/PyGRB/blob/master/docs/source/images/B_7475__d_NL200__rates_F.png :align: center :alt: BATSE trigger 7475 `See documentation for more <https://pygrb.readthedocs.io/en/latest/user/usage.html>`__ Under the Hood --------------- .. image:: https://github.com/JamesPaynter/PyGRB/blob/master/docs/source/images/pulse_fit_animation.gif :align: center :alt: a GRB light-curve fit animation There is a typo in this animation, the two fractions should take the same sign (+ve). The -2 is an amplitude normalisation factor. `See documentation for more <https://pygrb.readthedocs.io/en/latest/user/sampling.html>`__ Contribute ---------- 'PyGRB' is an open-source software package freely available under the BSD 3-Clause License. Users may request new features by opening a `GitHub Issue`_, or may contribute their own additions and improvements via a pull request. Similarly, if you run into problems while using `PyGRB`, or require technical support, do not hesitate to request support through a `GitHub Issue`_. If you use `PyGRB` in your work and would like to further collaborate on GRBs or gravitational lensing, I would be more than willing to discuss it over email or `GitHub Issue`_. An incomplete list of possible improvements: - Include support for uneven bin sizes and data gaps. - Include compatibility with other GRB catalogues that are publicly available. - `Swift BAT <https://swift.gsfc.nasa.gov/results/batgrbcat/>`__ - `Fermi GBM <https://heasarc.gsfc.nasa.gov/FTP/fermi/data/gbm/bursts/>`__ - `Konus Wind <https://gcn.gsfc.nasa.gov/konus_grbs.html>`__ - Include capability to download and plot GRB spectra in addition to light-curves. - Increase coverage to 100% .. _GitHub Issue: https://github.com/JamesPaynter/PyGRB/issues .. |AstroPy| image:: http://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat :target: http://www.astropy.org/ :alt: astropy .. |Travis| image:: https://travis-ci.com/JamesPaynter/PyGRB.svg?branch=master :alt: Travis Badge :target: https://travis-ci.com/JamesPaynter/PyGRB .. |Coverage| image:: https://codecov.io/gh/JamesPaynter/PyGRB/branch/master/graph/badge.svg :target: https://codecov.io/gh/JamesPaynter/PyGRB :alt: CodeCov - Coverage Status .. |Docs| image:: https://readthedocs.org/projects/pygrb/badge/?version=latest :target: https://pygrb.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status .. |pypi| image:: https://badge.fury.io/py/PyGRB.svg :target: https://badge.fury.io/py/PyGRB .. |version| image:: https://img.shields.io/pypi/pyversions/pygrb.svg :target: https://pypi.org/project/pygrb/ .. |JOSS| image:: https://joss.theoj.org/papers/8aff0347e6993ec23b060052a80aaaa0/status.svg :target: https://joss.theoj.org/papers/8aff0347e6993ec23b060052a80aaaa0

نیازمندی

مقدار	نام
>=1.18.1	numpy
>=1.1.0	scipy
>=2.2.3	matplotlib
>=3.2.3	astropy
>=1.1.0	xlrd
>=0.7.2	prettytable
>=1.0.1	pandas
>=4.9.0	beautifulsoup4
==0.5.9	bilby
>=0.2.0	nestle

زبان مورد نیاز

مقدار	نام
>=3.6.0, <3.9	Python

نحوه نصب

نصب پکیج whl PyGRB-1.0.2:

pip install PyGRB-1.0.2.whl

نصب پکیج tar.gz PyGRB-1.0.2:

pip install PyGRB-1.0.2.tar.gz