معرفی شرکت ها


astromartini-2.0.1


Card image cap
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
Card image cap
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
Card image cap
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
Card image cap
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
Card image cap
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

Synthetic datacube creation from simulations.
ویژگی مقدار
سیستم عامل -
نام فایل astromartini-2.0.1
نام astromartini
نسخه کتابخانه 2.0.1
نگهدارنده []
ایمیل نگهدارنده []
نویسنده -
ایمیل نویسنده Kyle Oman <kyle.a.oman@durham.ac.uk>
آدرس صفحه اصلی -
آدرس اینترنتی https://pypi.org/project/astromartini/
مجوز -
.. image:: martini_banner.png |Build status| |Documentation status| .. |Build status| image:: https://github.com/kyleaoman/martini/actions/workflows/code_quality.yml/badge.svg :target: https://github.com/kyleaoman/martini/actions/workflows/code_quality.yml :alt: Build Status .. |Documentation status| image:: https://readthedocs.org/projects/martini/badge/?version=latest :target: https://martini.readthedocs.io/en/latest/?badge=latest :alt: Documentation status Overview ======== .. INTRO_START_LABEL MARTINI is a modular package for the creation of synthetic resolved HI line observations (data cubes) of smoothed-particle hydrodynamics simulations of galaxies. The various aspects of the mock-observing process are divided logically into sub-modules handling the data cube, source, beam, noise, spectral model and SPH kernel. MARTINI is object-oriented: each sub-module provides a class (or classes) which can be configured as desired. For most sub-modules, base classes are provided to allow for straightforward customization. Instances of each sub-module class are given as parameters to the Martini class; a mock observation is then constructed by calling a handful of functions to execute the desired steps in the mock-observing process. .. INTRO_END_LABEL Citing MARTINI -------------- .. CITING_START_LABEL If your use of MARTINI leads to a publication, please acknowledge this and link to the github page, ideally specifying the version used (git commit ID or version number). Please cite the `MARTINI entry`_ in the ASCL_ (`indexed on ADS`_), and the `original paper`_: .. code-block:: bibtex @MISC{2019ascl.soft11005O, author = {{Oman}, Kyle A.}, title = "{MARTINI: Mock spatially resolved spectral line observations of simulated galaxies}", keywords = {Software}, howpublished = {Astrophysics Source Code Library, record ascl:1911.005}, year = 2019, month = nov, eid = {ascl:1911.005}, pages = {ascl:1911.005}, archivePrefix = {ascl}, eprint = {1911.005}, adsurl = {https://ui.adsabs.harvard.edu/abs/2019ascl.soft11005O}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} } @ARTICLE{2019MNRAS.482..821O, author = {{Oman}, Kyle A. and {Marasco}, Antonino and {Navarro}, Julio F. and {Frenk}, Carlos S. and {Schaye}, Joop and {Ben{\'\i}tez-Llambay}, Alejandro}, title = "{Non-circular motions and the diversity of dwarf galaxy rotation curves}", journal = {\mnras}, keywords = {ISM: kinematics and dynamics, galaxies: haloes, galaxies: structure, dark matter, Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics}, year = 2019, month = jan, volume = {482}, number = {1}, pages = {821-847}, doi = {10.1093/mnras/sty2687}, archivePrefix = {arXiv}, eprint = {1706.07478}, primaryClass = {astro-ph.GA}, adsurl = {https://ui.adsabs.harvard.edu/abs/2019MNRAS.482..821O}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} } .. _MARTINI entry: https://ascl.net/1911.005 .. _ASCL: https://ascl.net .. _indexed on ADS: https://ui.adsabs.harvard.edu/abs/2019ascl.soft11005O/abstract .. _original paper: https://ui.adsabs.harvard.edu/abs/2019MNRAS.482..821O/abstract .. CITING_END_LABEL Installation Notes ================== .. INSTALLATION_NOTES_START_LABEL MARTINI works with ``python3`` (version ``3.7`` or higher), and does not support ``python2``. Stable releases are available via PyPI_ (``pip install astromartini``) and the numbered releases (starting from 2.0.0) on github. The github main branch is actively developed: things will change, bugs will happen. Any feedback is greatly appreciated via github or kyle.a.oman@durham.ac.uk. .. _PyPI: https://pypi.org/ .. _kyle.a.oman@durham.ac.uk: mailto:kyle.a.oman@durham.ac.uk The easiest way to install martini is from PyPI by doing ``python3 -m pip install astromartini``. Output to ``.fits`` files is supported by default; if output to ``.hdf5`` format is desired use ``python3 -m pip install astromartini[hdf5_output]`` instead. This will also handle the installation of the required dependencies. Other optional features require additional dependencies hosted on PyPI. In particular, EAGLE, Illustris/TNG and Simba users who wish to use the custom source modules for those simulations in MARTINI can automatically install the optional dependencies with ``python3 -m pip install astromartini[eaglesource]``, or ``[simbasource]`` or ``[tngsource]``. .. INSTALLATION_NOTES_END_LABEL Installing from github ---------------------- .. GITHUB_INSTALLATION_NOTES_START_LABEL Choose a branch_. Unless you want to install the latest (possibly buggy) main branch, installing with PyPI should usually be preferred. From the branch page (e.g. ``https://github.com/kyleaoman/martini/tree/2.0.X``), click the green 'Code' button and follow instructions to obtain the files. Unpack the zip file if necessary. You should then be able to do ``python3 -m pip install martini/[optional]``, where ``optional`` should be replaced by a comma separated list of optional dependencies. If this fails check that ``martini/`` is a path pointing to the directory containing the ``setup.py`` file for MARTINI. The currently available options are: - ``hdf5_output``: Supports output to hdf5 files via the h5py package. Since h5py is hosted on PyPI, this option may be used when installing via PyPI. - ``eaglesource``: Dependencies for the |martini.sources.EAGLESource| module, which greatly simplifies reading input from EAGLE simulation snapshots. Installs my Hdecompose_ package, providing implementations of the `Rahmati et al. (2013)`_ method for computing netural hydrogen fractions and the `Blitz & Rosolowsky (2006)`_ method for atomic/molecular fractions. Also installs `my python-only version`_ of John Helly's `read_eagle`_ package for quick extraction of particles in a simulation sub-volume. h5py is also required. - ``tngsource``: Dependencies for the |martini.sources.TNGSource| module, which greatly simplifies reading input from IllustrisTNG (and original Illustris) snapshots. Installs my Hdecompose_ package, providing implementations of the `Rahmati et al. (2013)`_ method for computing netural hydrogen fractions and the `Blitz & Rosolowsky (2006)`_ method for atomic/molecular fractions. - ``magneticumsource``: Dependencies for the |martini.sources.MagneticumSource| module, which supports the Magneticum simulations via `my fork`_ of the `g3t`_ package by Antonio Ragagnin. - ``sosource``: Dependencies for the |martini.sources.SOSource| module, which provides unofficial support for several simulation datasets hosted on specific systems. This is intended mostly for my own use, but APOSTLE, C-EAGLE/Hydrangea and Auriga users may contact_ me for further information. .. _branch: https://github.com/kyleaoman/martini/branches .. _Hdecompose: https://github.com/kyleaoman/Hdecompose .. _`Rahmati et al. (2013)`: https://ui.adsabs.harvard.edu/abs/2013MNRAS.430.2427R/abstract .. _`Blitz & Rosolowsky (2006)`: https://ui.adsabs.harvard.edu/abs/2006ApJ...650..933B/abstract .. _`my python-only version`: https://github.com/kyleaoman/pyread_eagle .. _`read_eagle`: https://github.com/jchelly/read_eagle .. _`my fork`: https://github.com/kyleaoman/g3t .. _`g3t`: https://gitlab.lrz.de/di29bop/g3t .. _contact: mailto:kyle.a.oman@durham.ac.uk .. GITHUB_INSTALLATION_NOTES_END_LABEL Getting started =============== .. QUICKSTART_START_LABEL See the help for |martini.Martini| for an example script to configure MARTINI and create a datacube. This example can be run by doing: ``python -c "from martini import demo; demo()"`` MARTINI has (so far) been successfully run on the output of these simulations: * EAGLE * APOSTLE * C-EAGLE/Hydrangea * Illustris * IllustrisTNG * Auriga * MaGICC (and therefore in principle NIHAO) * Magneticum * Simba I attempt to support publicly available simulations with a customized source module. If your simulation is public and not supported, please `contact me`_. Currently custom source modules exist for: .. _contact me: mailto:kyle.a.oman@durham.ac.uk * EAGLE (|martini.sources.EAGLESource|) * IllustrisTNG (|martini.sources.TNGSource|; also works with Illustris) * Magneticum (|martini.sources.MagneticumSource|) * Simba (|martini.sources.SimbaSource|) Example notebooks_ are available for supported simulations. .. _notebooks: https://github.com/kyleaoman/martini/tree/main/examples .. QUICKSTART_END_LABEL .. |martini.Martini| replace:: martini.Martini_ .. _martini.Martini: https://martini.readthedocs.io/en/latest/modules/martini.martini.html#martini.martini.Martini .. |martini.sources.EAGLESource| replace:: martini.sources.EAGLESource_ .. _martini.sources.EAGLESource: https://martini.readthedocs.io/en/latest/modules/martini.sources.eagle_source.html#martini.sources.eagle_source.EAGLESource .. |martini.sources.TNGSource| replace:: martini.sources.TNGSource_ .. _martini.sources.TNGSource: https://martini.readthedocs.io/en/latest/modules/martini.sources.tng_source.html#martini.sources.tng_source.TNGSource .. |martini.sources.MagneticumSource| replace:: martini.sources.MagneticumSource_ .. _martini.sources.MagneticumSource: https://martini.readthedocs.io/en/latest/modules/martini.sources.magneticum_source.html#martini.sources.magneticum_source.MagneticumSource .. |martini.sources.SimbaSource| replace:: martini.sources.SimbaSource_ .. _martini.sources.SimbaSource: https://martini.readthedocs.io/en/latest/modules/martini.sources.simba_source.html#martini.sources.simba_source.SimbaSource .. |martini.sources.SOSource| replace:: martini.sources.SOSource_ .. _martini.sources.SOSource: https://martini.readthedocs.io/en/latest/modules/martini.sources.so_source.html#martini.sources.so_source.SOSource


نیازمندی

مقدار نام
- numpy
- scipy
- astropy
- tqdm
- swiftsimio
- swiftgalaxy
- velociraptor
- hdecompose
- pyread-eagle
- eagleSqlTools
- h5py
- g3t
- h5py
- swiftsimio
- swiftgalaxy
- hdecompose
- h5py
- requests
- six


زبان مورد نیاز

مقدار نام
>=3.7 Python


نحوه نصب


نصب پکیج whl astromartini-2.0.1:

    pip install astromartini-2.0.1.whl


نصب پکیج tar.gz astromartini-2.0.1:

    pip install astromartini-2.0.1.tar.gz