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autogalaxy-2022.7.11.1


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توضیحات

Open Source Galaxy Model-Fitting
ویژگی مقدار
سیستم عامل OS Independent
نام فایل autogalaxy-2022.7.11.1
نام autogalaxy
نسخه کتابخانه 2022.7.11.1
نگهدارنده []
ایمیل نگهدارنده []
نویسنده James Nightingale and Richard Hayes
ایمیل نویسنده james.w.nightingale@durham.ac.uk
آدرس صفحه اصلی https://github.com/Jammy2211/PyAutoGalaxy
آدرس اینترنتی https://pypi.org/project/autogalaxy/
مجوز MIT License
PyAutoGalaxy: Open-Source Multi Wavelength Galaxy Structure & Morphology ======================================================================== .. |nbsp| unicode:: 0xA0 :trim: .. |binder| image:: https://mybinder.org/badge_logo.svg :target: https://mybinder.org/v2/gh/Jammy2211/autogalaxy_workspace/HEAD .. |code-style| image:: https://img.shields.io/badge/code%20style-black-000000.svg :target: https://github.com/psf/black |binder| |code-style| `Installation Guide <https://pyautogalaxy.readthedocs.io/en/latest/installation/overview.html>`_ | `readthedocs <https://pyautogalaxy.readthedocs.io/en/latest/index.html>`_ | `Introduction on Binder <https://mybinder.org/v2/gh/Jammy2211/autogalaxy_workspace/release?filepath=introduction.ipynb>`_ | `HowToGalaxy <https://pyautogalaxy.readthedocs.io/en/latest/howtogalaxy/howtogalaxy.html>`_ The study of a galaxy's structure and morphology is at the heart of modern day Astrophysical research. **PyAutoGalaxy** makes it simple to model galaxies, for example this Hubble Space Telescope imaging of a spiral galaxy: |pic1| .. |pic1| image:: https://github.com/Jammy2211/PyAutoGalaxy/blob/master/paper/hstcombined.png **PyAutoGalaxy** also fits interferometer data from observatories such as ALMA: |pic2| .. |pic2| image:: https://github.com/Jammy2211/PyAutoGalaxy/blob/master/paper/almacombined.png Getting Started --------------- The following links are useful for new starters: - `The introduction Jupyter Notebook on Binder <https://mybinder.org/v2/gh/Jammy2211/autogalaxy_workspace/release?filepath=introduction.ipynb>`_, where you can try **PyAutoGalaxy** in a web browser (without installation). - `The PyAutoGalaxy readthedocs <https://pyautogalaxy.readthedocs.io/en/latest>`_, which includes `an installation guide <https://pyautogalaxy.readthedocs.io/en/latest/installation/overview.html>`_ and an overview of **PyAutoGalaxy**'s core features. - `The autogalaxy_workspace GitHub repository <https://github.com/Jammy2211/autogalaxy_workspace>`_, which includes example scripts and the `HowToGalaxy Jupyter notebook tutorials <https://github.com/Jammy2211/autogalaxy_workspace/tree/master/notebooks/howtogalaxy>`_ which give new users a step-by-step introduction to **PyAutoGalaxy**. API Overview ------------ Galaxy morphology calculations are performed in **PyAutoGalaaxy** by building a ``Plane`` object from ``LightProfile`` and ``Galaxy`` objects. Below, we create a simple galaxy system where a redshift 0.5 ``Galaxy`` with an ``EllSersic`` ``LightProfile`` representing a bulge and an ``EllExponential`` ``LightProfile`` representing a disk. .. code-block:: python import autogalaxy as ag import autogalaxy.plot as aplt """ To describe the galaxy emission two-dimensional grids of (y,x) Cartesian coordinates are used. """ grid = ag.Grid2D.uniform( shape_native=(50, 50), pixel_scales=0.05, # <- Conversion from pixel units to arc-seconds. ) """ The galaxy has an elliptical sersic light profile representing its bulge. """ bulge=ag.lp.EllSersic( centre=(0.0, 0.0), elliptical_comps=ag.convert.elliptical_comps_from(axis_ratio=0.9, angle=45.0), intensity=1.0, effective_radius=0.6, sersic_index=3.0, ) """ The galaxy also has an elliptical exponential disk """ disk = ag.lp.EllExponential( centre=(0.0, 0.0), elliptical_comps=ag.convert.elliptical_comps_from(axis_ratio=0.7, angle=30.0), intensity=0.5, effective_radius=1.6, ) """ We combine the above light profiles to compose a galaxy at redshift 1.0. """ galaxy = ag.Galaxy(redshift=1.0, bulge=bulge, disk=disk) """ We create a Plane, which in this example has just one galaxy but can be extended for datasets with many galaxies. """ plane = ag.Plane( galaxies=[galaxy], ) """ We can use the Grid2D and Plane to perform many calculations, for example plotting the image of the galaxyed source. """ plane_plotter = aplt.PlanePlotter(plane=plane, grid=grid) plane_plotter.figures_2d(image=True) With **PyAutoGalaxy**, you can begin modeling a galaxy in just a couple of minutes. The example below demonstrates a simple analysis which fits a galaxy's light. .. code-block:: python import autofit as af import autogalaxy as ag import os """ Load Imaging data of the strong galaxy from the dataset folder of the workspace. """ imaging = ag.Imaging.from_fits( image_path="/path/to/dataset/image.fits", noise_map_path="/path/to/dataset/noise_map.fits", psf_path="/path/to/dataset/psf.fits", pixel_scales=0.1, ) """ Create a mask for the data, which we setup as a 3.0" circle. """ mask = ag.Mask2D.circular( shape_native=imaging.shape_native, pixel_scales=imaging.pixel_scales, radius=3.0 ) """ We model the galaxy using an EllSersic LightProfile. """ light_profile = ag.lp.EllSersic """ We next setup this profile as model components whose parameters are free & fitted for by setting up a Galaxy as a Model. """ galaxy_model = af.Model(ag.Galaxy, redshift=1.0, light=light_profile) model = af.Collection(galaxy=galaxy_model) """ We define the non-linear search used to fit the model to the data (in this case, Dynesty). """ search = af.DynestyStatic(name="search[example]", nlive=50) """ We next set up the `Analysis`, which contains the `log likelihood function` that the non-linear search calls to fit the galaxy model to the data. """ analysis = ag.AnalysisImaging(dataset=masked_imaging) """ To perform the model-fit we pass the model and analysis to the search's fit method. This will output results (e.g., dynesty samples, model parameters, visualization) to hard-disk. """ result = search.fit(model=model, analysis=analysis) """ The results contain information on the fit, for example the maximum likelihood model from the Dynesty parameter space search. """ print(result.samples.max_log_likelihood_instance) Support ------- Support for installation issues, help with galaxy modeling and using **PyAutoGalaxy** is available by `raising an issue on the GitHub issues page <https://github.com/Jammy2211/PyAutoGalaxy/issues>`_. We also offer support on the **PyAutoGalaxy** `Slack channel <https://pyautogalaxy.slack.com/>`_, where we also provide the latest updates on **PyAutoGalaxy**. Slack is invitation-only, so if you'd like to join send an `email <https://github.com/Jammy2211>`_ requesting an invite.


نیازمندی

مقدار نام
==1.2.14 colossus
>=3.0.0 astropy
==2022.07.11.1 autoconf
==2022.07.11.1 autoarray
==2022.07.11.1 autofit


نحوه نصب


نصب پکیج whl autogalaxy-2022.7.11.1:

    pip install autogalaxy-2022.7.11.1.whl


نصب پکیج tar.gz autogalaxy-2022.7.11.1:

    pip install autogalaxy-2022.7.11.1.tar.gz