معرفی شرکت ها

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 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

توضیحات

GRB Afterglow Models

ویژگی	مقدار
سیستم عامل	-
نام فایل	afterglowpy-0.7.3
نام	afterglowpy
نسخه کتابخانه	0.7.3
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Geoffrey Ryan
ایمیل نویسنده	gsryan@umd.edu
آدرس صفحه اصلی	https://github.com/geoffryan/afterglowpy
آدرس اینترنتی	https://pypi.org/project/afterglowpy/
مجوز	MIT

# Numeric GRB Afterglow models A Python 3 module to calculate GRB afterglow light curves and spectra. Details of the methods can be found in [Ryan et al 2019](https://arxiv.org/abs/1909.11691). Builds on [van Eerten & MacFadyen 2010](https://arxiv.org/abs/1006.5125) and [van Eerten 2018](https://arxiv.org/abs/1801.01848). This code is under active development. Documentation available at <https://afterglowpy.readthedocs.io/> ## Attribution If you use this code in a publication, please refer to the package by name and cite "Ryan, G., van Eerten, H., Piro, L. and Troja, E., 2019, arXiv:1910.11691" [arXiv link](https://arxiv.org/abs/1909.11691). ## Features _afterglowpy_ computes synchrotron emission from the forward shock of a relativistic blast wave. It includes: - Fully trans-relativistic shock evolution through a constant density medium. - On-the-fly integration over the equal-observer-time slices of the shock surface. - Approximate prescription for jet spreading. - Arbitrary viewing angles. - Angularly structured jets, ie. E(θ) - Spherical velocity-stratified outflows, ie. E(u) - Counter-jet emission. It has limited support (these should be considered experimental) for: - Initial energy injection - Inverse comption spectra - Spatially-resolved intensity maps - Early coasting phase It does not include (yet): - External wind medium, ie. n &prop; r-2 - Synchrotron self-absorbtion - Reverse shock emission _afterglowpy_ has been calibrated to the BoxFit code ([van Eerten, van der Horst, & Macfadyen 2011](https://arxiv.org/abs/1110.5089), available at the [Afterglow Library](https://cosmo.nyu.edu/afterglowlibrary/boxfit2011.html)) and produces similar light curves for top hat jets (within 50% when same parameters are used) both on- and off-axis. Its jet models by default do not include an initial coasting phase, which may effect predictions for early observations. ## Installation/Building _afterglowpy_ is available via `pip`: ```bash $ pip install afterglowpy ``` If you are working on a local copy of this repo and would like to install from source, you can the run the following from the top level directory of the project. ```bash $ pip install -e . ``` ## Using **This interface will be updated to be more sensible in the VERY near future** In your python code, import the library with `import afterglowpy as grb`. The main function of interest is`grb.fluxDensity(t, nu, jetType, specType, *pars, **kwargs)`. See `tests/plotLC.py` for a simple example. `jetType` can be -1 (top hat), 0 (Gaussian), 1 (Power Law w/ core), 2 (Gaussian w/ core), 3 (Cocoon), or 4 (Smooth Power Law). `specType` can be 0 (global cooling time, no inverse compton) or 1 (global cooling time, inverse compton). For jet-like afterglows (`jetTypes` -2, -1, 0, 1, 2, and 4) `pars` has 14 positional arguments: - `0 thetaV` viewing angle in radians - `1 E0` on-axis isotropic equivalent energy in erg - `2 thetaC` half-width of the jet core in radians (jetType specific) - `3 thetaW` "wing" truncation angle of the jet, in radians - `4 b` power for power-law structure, θ-b - `5 L0` Fiducial luminosity for energy injection, in erg/s, typically 0. - `6 q` Temporal power-law index for energy injection, typically 0. - `7 ts` Fiducial time-scale for energy injection, in seconds, typically 0. - `8 n0` Number density of ISM, in cm-3 - `9 p` Electron distribution power-law index (p>2) - `10 epsilon_e` Thermal energy fraction in electrons - `11 epsilon_B` Thermal energy fraction in magnetic field - `12 xi_N` Fraction of electrons that get accelerated - `13 d_L` Luminosity distance in cm For cocoon-like afterglows (`jetType` 3) `pars` has 14 positional arguments: - `0 umax` Initial maximum outflow 4-velocity - `1 umin` Minium outflow 4-velocity - `2 Ei` Fiducial energy in velocity distribution, E(>u) = Ei u-k. - `3 k` Power-law index of energy velocity distribution - `4 Mej` Mass of material at `umax' in solar masses - `5 L0` Fiducial luminosity for energy injection, in erg/s, typically 0. - `6 q` Temporal power-law index for energy injection, typically 0. - `7 ts` Fiducial time-scale for energy injection, in seconds, typically 0. - `8 n0` Number density of ISM, in cm-3 - `9 p` Electron distribution power-law index (p>2) - `10 epsilon_e` Thermal energy fraction in electrons - `11 epsilon_B` Thermal energy fraction in magnetic field - `12 xi_N` Fraction of electrons that get accelerated - `13 d_L` Luminosity distance in cm Keyword arguments are: - `z` redshift (defaults to 0) - `tRes` time resolution of shock-evolution scheme, number of sample points per decade in time - `latRes` latitudinal resolution for structured jets, number of shells per `thetaC` - `rtol` target relative tolerance of flux integration - `spread` boolean (defaults to True), whether to allow the jet to spread.

نیازمندی

مقدار	نام
>=1.10	numpy
>=0.14	scipy
-	numpydoc

نحوه نصب

نصب پکیج whl afterglowpy-0.7.3:

pip install afterglowpy-0.7.3.whl

نصب پکیج tar.gz afterglowpy-0.7.3:

pip install afterglowpy-0.7.3.tar.gz