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exoplanet-core-0.2.0rc2


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توضیحات

The compiled backend for exoplanet
ویژگی مقدار
سیستم عامل -
نام فایل exoplanet-core-0.2.0rc2
نام exoplanet-core
نسخه کتابخانه 0.2.0rc2
نگهدارنده ['Daniel Foreman-Mackey']
ایمیل نگهدارنده ['foreman.mackey@gmail.com']
نویسنده Daniel Foreman-Mackey
ایمیل نویسنده foreman.mackey@gmail.com
آدرس صفحه اصلی https://docs.exoplanet.codes
آدرس اینترنتی https://pypi.org/project/exoplanet-core/
مجوز MIT
<p align="center"> <img width="240" src="https://raw.githubusercontent.com/exoplanet-dev/exoplanet/main/docs/_static/logo.png"> <br><br> <a href="https://github.com/exoplanet-dev/exoplanet-core/actions/workflows/tests.yml"> <img src="https://github.com/exoplanet-dev/exoplanet-core/actions/workflows/tests.yml/badge.svg" alt="Tests"> </a> </p> # exoplanet-core This repository contains the compiled components for the [exoplanet](https://github.com/exoplanet-dev/exoplanet/) project, with implementations for NumPy, JAX, and PyMC3. Most users probably won't install or interact with `exoplanet-core` directly, instead using it via [exoplanet](https://docs.exoplanet.codes) itself. However, there are a few reasons why you might be here: 1. You want to evaluate a quadratically limb darkened light curve or solve Kepler's equation in numpy, JAX, or PyMC3, using fast and well-tested code. 2. You might have found an issue with one of the compiled ops for `exoplanet` and want to [report](https://github.com/exoplanet-dev/exoplanet-core/issues) or [fix](https://github.com/exoplanet-dev/exoplanet-core/pulls) it. 3. You might be looking to build a better alternative to `exoplanet`. All of these are excellent reasons to be here, so welcome! ## Motivation This library is developed separately from the `exoplanet` codebase for several reasons, but the main one is that the code in this repo needs to change at a less frequent cadence than the main exoplanet modeling code and there is some cost associated with re-compiling the backend. I'm hoping that this separation will make it easier for people to contribute to the exoplanet project without dealing with compilation issues. This also means that some users can use just the computational components here without the heavy dependencies required by the exoplanet project. This might be useful, for example, for people who just want a high performance solver for Kepler's equation or fast quadratically limb-darkened light curves. ## Installation The best way to install `exoplanet-core` is using [pip](https://pip.pypa.io): ```bash python -m pip install exoplanet-core ``` By default this will only install the `numpy` ops and its dependencies (only `numpy` itself). So if you want to install the dependencies for the `jax` or `pymc` versions, you can run: ```bash python -m pip install "exoplanet-core[jax]" # or python -m pip install "exoplanet-core[pymc]" ``` You can also install `exoplanet-core` using [conda](https://docs.conda.io) from `conda-forge`: ```bash conda install -c conda-forge exoplanet-core ``` ## Usage If you're developing new ops or fixing existing ones, you'll probably want to skip to the next section, but if you just want to solve Kepler's equation or compute a limb darkened light curve, you can use the following snippets. To solve Kepler's equation and compute the true anomaly for an array of eccentricities: ```python from exoplanet_core import kepler ecc = 0.3 M = # compute the mean anomaly as a function of time for your measurements sinf, cosf = kepler(M, ecc) # Use the true anomaly to evaluate your model ``` To compute the relative flux for a quadratically limb darkened light curve at some projected center-to-center distance `b` and radius ratio `ror`: ```python from exoplanet_core import quad_limbdark_light_curve u1, u2 = 0.3, 0.2 ror = 0.05 b = # Compute the impact parameter as a function of time flux = quad_limbdark_light_curve(u1, u2, b, ror) ``` where `u1` and `u2` are the usual limb darkening parameters and the resulting flux is in relative units where `0` is the unocculted flux. Some other implementations that you might be familiar with return this value plus one. ## API Reference `exoplanet-core` currently provides three ops, but only two are intended for general consumption: `kepler` and `quad_solution_vector`. The three interfaces (`numpy`, `jax`, and `pymc`) are designed to have the same API, so you can import them interchangeably as: ```python from exoplanet_core.{interface} import ops ``` where `{interface}` is `numpy`, `jax`, or `pymc`. #### `kepler` ```python sin_true_anomaly, cos_true_anomaly = ops.kepler(mean_anomaly, eccentricity) ``` Solve Kepler's equation and convert to the true anomaly using a fast method (Brandt et al., in prep) that gives nearly machine precision across the full valid parameter range. | Parameter | Type | Description | | :------------- | :------ | :-------------------------------------- | | `mean_anomaly` | `array` | This does not need to be range reduced. | | `eccentricity` | `array` | Must be in the range `[0, 1)`. | | Returns | Type | Description | | :----------------- | :------ | :-------------------------------------- | | `sin_true_anomaly` | `array` | The sine and cosine of the true anomaly | | `cos_true_anomaly` | `array` | evaluated at the input coordinates. | #### `quad_solution_vector` ```python soln = ops.quad_solution_vector(impact_parameter, radius_ratio) ``` Compute the "solution vector" as defined by [Agol et al. (2020)](https://arxiv.org/abs/1908.03222) for a quadratically limb darkened light curve. This can then be dotted into a vector of coefficients (a function of the usual limb darkening parameters) to compute the integrated flux. | Parameter | Type | Description | | :----------------- | :------ | :------------------------------------------------- | | `impact_parameter` | `array` | The projected center to center distance. | | `radius_ratio` | `array` | The radius of the occulter in units of the target. | | Returns | Type | Description | | :------ | :------ | :-------------------------------------------------------- | | `soln` | `array` | The quadratic solution vector at each `impact_parameter`. |


نیازمندی

مقدار نام
>=1.13.0 numpy
- pytest
- pytest-benchmark
- radvel
- kepler.py
- batman-package
- starry
==0.4.5 exoplanet
- batman-package
- starry
<1.22 numpy
- jax
- jaxlib
>=3.9 pymc3
<1.22 numpy
>=4.0.0 pymc
- pytest


نحوه نصب


نصب پکیج whl exoplanet-core-0.2.0rc2:

    pip install exoplanet-core-0.2.0rc2.whl


نصب پکیج tar.gz exoplanet-core-0.2.0rc2:

    pip install exoplanet-core-0.2.0rc2.tar.gz