From 3efb6bb149d5a577e496057ddcc1fb971afc38ff Mon Sep 17 00:00:00 2001 From: Metin San Date: Mon, 6 May 2024 13:29:36 +0200 Subject: [PATCH] Move astropy_healpix to dev dependancy. Update dev dependencies. Finish writing docs --- README.md | 44 ++- docs/examples/number_density.py | 8 +- docs/index.md | 8 +- docs/install.md | 7 +- docs/introduction.md | 36 +-- docs/usage.md | 98 ++++--- mkdocs.yml | 28 +- poetry.lock | 477 +++++++++++++++++--------------- pyproject.toml | 14 +- zodipy/zodipy.py | 38 ++- 10 files changed, 425 insertions(+), 333 deletions(-) diff --git a/README.md b/README.md index ae1ef5d..9f1e238 100644 --- a/README.md +++ b/README.md @@ -16,12 +16,13 @@ --- -ZodiPy is an [Astropy affiliated](https://www.astropy.org/affiliated/) package for simulating zodiacal light in intensity for arbitrary Solar system observers. +ZodiPy is an [Astropy-affiliated](https://www.astropy.org/affiliated/) package for simulating zodiacal light in intensity for arbitrary Solar system observers. ![plot](docs/img/zodipy_map.png) + ## Documentation -See the [documentation](https://cosmoglobe.github.io/zodipy/) for more information and examples on how to use ZodiPy for different applications. +See the [documentation](https://cosmoglobe.github.io/zodipy/) for a list of supported zodiacal light models and examples of how to use ZodiPy. ## A simple example ```python @@ -31,8 +32,10 @@ from astropy.time import Time import zodipy -model = zodipy.Model(25*u.micron) +# Initialize a zodiacal light model at a wavelength/frequency or at a bandpass +model = zodipy.Model(25*u.micron, name="DIRBE") +# ZodiPy uses astropy's `SkyCoord` for coordinate inputs lon = [10, 10.1, 10.2] * u.deg lat = [90, 89, 88] * u.deg skycoord = SkyCoord( @@ -41,7 +44,7 @@ skycoord = SkyCoord( obstime=Time("2022-01-01 12:00:00"), frame="galactic", ) - +# The zodiacal light model is evaluated emission = model.evaluate(skycoord, obspos="earth") print(emission) @@ -60,7 +63,6 @@ ZodiPy is installed using `pip install zodipy`. ## Dependencies ZodiPy supports all Python versions >= 3.9, and has the following dependencies: - [Astropy](https://www.astropy.org/) (>=5.0.1) -- [Astropy-healpix](https://astropy-healpix.readthedocs.io/en/latest/) - [NumPy](https://numpy.org/) - [jplephem](https://pypi.org/project/jplephem/) - [SciPy](https://scipy.org/) @@ -71,6 +73,7 @@ Contributing developers will need to download the following additional dependenc - pytest-cov - hypothesis - healpy +- astropy-healpix - coverage - ruff - mypy @@ -101,18 +104,33 @@ from the repositry root. This will read and download all the dependencies from t Note that developers using Python 3.12 will need to upgrade their pip versions with `python3 -m pip install --upgrade pip` before being able to install ZodiPy. This is due to known incompatibilities between older pip versions and Python 3.12 -### Tests, linting and formatting +### Tests, linting and formatting, and building documentation The following tools should be run from the root of the repository with no errors. (These are ran automatically as part of the CI workflows on GitHub, but should be tested locally first) -- [pytest](https://docs.pytest.org/en/8.0.x/): Tests are run with pytest by simply running `pytest` in the command line in the root of the repository. -- [ruff](https://github.com/astral-sh/ruff): Formating and linting is done with `ruff` by simply running `ruff check` and `ruff format` in the command line in the root of the repository. -- [mypy](https://mypy-lang.org/): Type checking is done with `mypy` by simply running `mypy zodipy/` in the root of the repository. - +#### pytest +Testing is done with [pytest](https://docs.pytest.org/en/8.0.x/). To run the tests, run the following command from the repository root +```bash +pytest +``` +#### ruff +Formating and linting is done with [ruff](https://github.com/astral-sh/ruff). To format and lint, run the following command from the repository root +```bash +ruff check +ruff format +``` +#### mypy +ZodiPy is fully typed. We use [mypy](https://mypy-lang.org/) as a static type checker. To type check, run the following command from the repositry root + +```bash +mypy zodipy/ +``` Remeber to add tests when implementing new features to maintain a high code coverage. -### Documentation -We use [MkDocs](https://www.mkdocs.org/) to create our documentation. The documentation is built locally with `mkdocs build` from the repository root, and served with `mkdocs serve`. - +#### MkDocs +We use [MkDocs](https://www.mkdocs.org/) to create our documentation. To serve the docs locally on you machine, run the following from the repositry root +```bash +mkdocs serve +``` ## Funding This work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreements No 776282 (COMPET-4; BeyondPlanck), 772253 (ERC; bits2cosmology) and 819478 (ERC; Cosmoglobe). diff --git a/docs/examples/number_density.py b/docs/examples/number_density.py index d3bb184..c057b2e 100644 --- a/docs/examples/number_density.py +++ b/docs/examples/number_density.py @@ -12,7 +12,13 @@ y = np.linspace(-5, 5, N) * u.AU # y-plane z = np.linspace(-2, 2, N) * u.AU # z-plane -density_grid = grid_number_density(x, y, z, obstime=Time("2021-01-01T00:00:00", scale="utc")) +density_grid = grid_number_density( + x, + y, + z, + obstime=Time("2021-01-01T00:00:00", scale="utc"), + name="DIRBE", +) density_grid = density_grid.sum(axis=0) # Sum over all components plt.pcolormesh( diff --git a/docs/index.md b/docs/index.md index 6ed4d3f..aff20f9 100644 --- a/docs/index.md +++ b/docs/index.md @@ -14,7 +14,7 @@ [![DOI](https://zenodo.org/badge/394929213.svg)](https://zenodo.org/doi/10.5281/zenodo.10999611) [![DOI](https://joss.theoj.org/papers/10.21105/joss.06648/status.svg)](https://doi.org/10.21105/joss.06648) -ZodiPy is an [Astropy affiliated](https://www.astropy.org/affiliated/) package for simulating zodiacal light in intensity for arbitrary Solar system observers. +ZodiPy is an [Astropy-affiliated](https://www.astropy.org/affiliated/) package for simulating zodiacal light in intensity for arbitrary Solar system observers. ![ZodiPy Logo](img/zodipy_map.png) @@ -26,8 +26,10 @@ from astropy.time import Time import zodipy -model = zodipy.Model(25*u.micron) +# Initialize a zodiacal light model at a wavelength/frequency or at a bandpass +model = zodipy.Model(25*u.micron, name="DIRBE") +# ZodiPy uses astropy's `SkyCoord` for coordinate inputs lon = [10, 10.1, 10.2] * u.deg lat = [90, 89, 88] * u.deg skycoord = SkyCoord( @@ -36,7 +38,7 @@ skycoord = SkyCoord( obstime=Time("2022-01-01 12:00:00"), frame="galactic", ) - +# The zodiacal light model is evaluated emission = model.evaluate(skycoord, obspos="earth") print(emission) diff --git a/docs/install.md b/docs/install.md index 3a405f4..7c960ec 100644 --- a/docs/install.md +++ b/docs/install.md @@ -1,19 +1,18 @@ # Install +ZodiPy supports python versions >= 3.9. + Installing ZodiPy is as simple as: ``` pip install zodipy ``` -!!! note - ZodiPy supports python versions >=3.9. ## Dependencies -ZodiPy has the following dependencies (these are automatically downloaded alongside ZodiPy): +ZodiPy has the following dependencies: - [Astropy](https://www.astropy.org) (>= 5.0.1) -- [Astropy-healpix](https://astropy-healpix.readthedocs.io/en/latest/) - [NumPy](https://numpy.org) - [jplehem](https://pypi.org/project/jplephem/) - [SciPy](https://scipy.org/) diff --git a/docs/introduction.md b/docs/introduction.md index b69ae36..335820d 100644 --- a/docs/introduction.md +++ b/docs/introduction.md @@ -1,31 +1,25 @@ # Introduction -ZodiPy is an open source Python tool for simulating the zodiacal emission that a solar system observer is predicted to see given an interplanetary dust model. We attempts to make zodiacal emission simulations more accessible by providing the community with a simple interface to existing models. For other zodiacal emission tools, see [Zodiacal Light Models on LAMBDA](https://lambda.gsfc.nasa.gov/product/foreground/fg_models.html). All contributions are most welcome. +ZodiPy is a Python package for zodiacal light simulations. Its purpose is to provide the astrophysics and cosmology communities with an easy-to-use and accessible interface to existing zodiacal light models in Python, assisting in astrophysical data analysis and zodiacal light forecasting for future experiments. +For other zodiacal light tools, see [Zodiacal Light Models on LAMBDA](https://lambda.gsfc.nasa.gov/product/foreground/fg_models.html). -## Interplanetary Dust Models -ZodiPy supports the following interplanetary dust models: +## Supported zodiacal light models -**1.25-240 $\boldsymbol{\mu}$m** +- DIRBE [`"dirbe"`] ([Kelsall et al. 1998](https://ui.adsabs.harvard.edu/abs/1998ApJ...508...44K/abstract)) +- Rowan-Robinson and May (experimental) [`"rrm-experimental"`] ([Rowan-Robinson and May 2013](https://ui.adsabs.harvard.edu/abs/2013MNRAS.429.2894R/abstract)) +- Planck 2013 [`"planck13"`] ([Planck Collaboration et al. 2014](https://ui.adsabs.harvard.edu/abs/2014A%26A...571A..14P/abstract>)) +- Planck 2015 [`"planck15"`] ([Planck Collaboration et al. 2016](https://ui.adsabs.harvard.edu/abs/2016A&A...594A...8P)) +- Planck 2018 [`"planck18"`] ([Planck Collaboration et al. 2020](https://ui.adsabs.harvard.edu/abs/2020A&A...641A...3P)) +- Odegard [`"odegard"`] ([Odegard et al. 2019](https://ui.adsabs.harvard.edu/abs/2019ApJ...877...40O/abstract)) -- DIRBE ([Kelsall et al. 1998](https://ui.adsabs.harvard.edu/abs/1998ApJ...508...44K/abstract)) -- RRM (experimental) ([Rowan-Robinson and May 2013](https://ui.adsabs.harvard.edu/abs/2013MNRAS.429.2894R/abstract)) +The names in the brackets are the string representations used in the `zodipy.Model` object to select the model. -**100-857 GHz** +If you see a missing model or wish to add a new one, please open an issue on GitHub. Contributors are very welcome! -- Planck 2013 ([Planck Collaboration et al. 2014](https://ui.adsabs.harvard.edu/abs/2014A%26A...571A..14P/abstract>)) -- Planck 2015 ([Planck Collaboration et al. 2016](https://ui.adsabs.harvard.edu/abs/2016A&A...594A...8P)) -- Planck 2018 ([Planck Collaboration et al. 2020](https://ui.adsabs.harvard.edu/abs/2020A&A...641A...3P)) -- Odegard ([Odegard et al. 2019](https://ui.adsabs.harvard.edu/abs/2019ApJ...877...40O/abstract)) -!!! info - The Planck and Odegard models extend the DIRBE interplanetary dust model to CMB frequencies by fitting the blackbody emissivity of the dust in the respective DIRBE interplanetary dust components to Planck HFI data. - The distribution of the interplanetary dust is exactly the same as in the DIRBE model. +## Related scientific papers +See [CITATION](https://github.com/Cosmoglobe/zodipy/blob/main/CITATION.bib) -If you see a missing model, please feel free to contact us by opening an issue on GitHub. - - -## Scientific Paper -For an overview of the modeling approach used in ZodiPy and other information regarding zodiacal emission and interplanetary dust modeling we refer to the scientific paper on ZodiPy: - -- [Cosmoglobe: Simulating zodiacal emission with ZodiPy](https://arxiv.org/abs/2205.12962) \ No newline at end of file +- [Cosmoglobe: Simulating zodiacal emission with ZodiPy (San et al. 2022)](https://arxiv.org/abs/2205.12962). +- [ZodiPy: A Python package for zodiacal light simulations (San 2024)](https://joss.theoj.org/papers/10.21105/joss.06648#). diff --git a/docs/usage.md b/docs/usage.md index b2d12f5..6b7f076 100644 --- a/docs/usage.md +++ b/docs/usage.md @@ -1,19 +1,20 @@ +!!! warning "Breaking API changes in `v1.0.0` and newer" + From version `v1.0.0` and out ZodiPy no implements the `get_emission_ang` and `get_emission_pix` methods. See the section on [HEALPix maps](usage.md#healpix-maps) for an example of how to make simulations from HEALPix pixel indices. We apologize for the inconvenience. + As an Astropy-affiliated package, ZodiPy is highly integrated with the astropy ecosystem. To make zodiacal light simulations, the `astropy.units`, `astropy.coordinates`, and `astropy.time` modules are used to provide user input. The coordinates for which ZodiPy will simulate the zodiacal light is specified in through the `astropy.coordinates.SkyCoord` object. Using ZodiPy is very simple and the user will only interact with *one* object `zodipy.Model`, which has *one* method `evaluate`. -!!! danger "Breaking API changes in `v1.0.0`" - ZodiPy version >=`v1.0.0` no longer supports simulating zodiacal light from non `SkyCoord` coordinate inputs. ## Initializing Zodipy ### Working with the `Model` class The interface to ZodiPy is the `zodipy.Model` class -```python +```py hl_lines="2 4" import astropy.units as u import zodipy model = zodipy.Model(25 * u.micron) ``` -It has *one* required positional argument `x`, which represents a center wavelength/frequency or the points of a empirical bandpass. If `x` represents the points of a bandpass, the `weights` argument must also be provided -```python +It has *one* required positional argument `x`, which represents a center wavelength/frequency or the points of an empirical bandpass. If `x` represents the points of a bandpass, the `weights` argument must also be provided +```py hl_lines="4 5 7" import astropy.units as u import zodipy @@ -24,7 +25,7 @@ model = zodipy.Model(points, weights=weights) ``` ZodiPy supports several zodiacal light models (see the [introduction](introduction.md) page for more information regarding the supported models), which are all valid in wavelength/frequency ranges. By default, the `Model` object will initialize using the DIRBE model. To select a different model, we specify the keyword argument `name` -```python +```py hl_lines="4" import astropy.units as u import zodipy @@ -33,35 +34,37 @@ model = zodipy.Model(25 * u.micron, name="planck18") ### Multiprocessing ZodiPy will distribute the input coordinates to cores if the keyword argument `n_proc` is `>= 1` using Python's `multiprocessing` module. -```python -import multiprocessing -import astropy.units as u -import zodipy +=== "Specifying number of processes" + ```py hl_lines="4" + import astropy.units as u + import zodipy -model = zodipy.Model(25 * u.micron, n_proc=multiprocessing.cpu_count()) -``` -Alternatively, a custom pool (`multiprocessing.pool.Pool`) may be provided. + model = zodipy.Model(25 * u.micron, n_proc=4) + ``` +=== "Custom pool object" -```python -import multiprocessing + ```py hl_lines="1 6 7" + import multiprocessing -import astropy.units as u -import zodipy + import astropy.units as u + import zodipy + + pool = multiprocessing.Pool(4) + model = zodipy.Model(25 * u.micron, pool=pool) + ``` -pool = multiprocessing.Pool(multiprocesing.cpu_count()) -model = zodipy.Model(25 * u.micron, pool=pool) -``` !!! tip - For all available optional keyword arguments in `zodipy.Model` see [the API reference](reference.md). + For all available optional keyword arguments in `zodipy.Model` see [the API reference](reference.md#zodipy.zodipy.Model). ## Simulating zodiacal light To make zodiacal light simulations ZodiPy needs to know three things: 1) Sky coordinates for which to simulate zodiacal light; 2) The position of the observer to know where the vertex of the rays is positioned; and 3) the time of observation, used to query the position of Earth. + ### The SkyCoord object -The sky coordinates are provided through astropys powerful `astropy.coordinates.SkyCoord` object, which can represent the observed coordinates in several formats. Users unfamiliar with the `SkyCoord` object should visit the [official Astropy documention](https://docs.astropy.org/en/stable/coordinates/index.html) before using ZodiPy to learn the basics. +The sky coordinates are provided through Astropy's powerful `astropy.coordinates.SkyCoord` object, which can represent the observed coordinates in several formats. Users unfamiliar with the `SkyCoord` object should visit the [official Astropy documentation](https://docs.astropy.org/en/stable/coordinates/index.html) before using ZodiPy to learn the basics. When using the `SkyCoord` in ZodiPy, the user **must** set the `obstime` and `frame` attributes. For a single observation in galactic coordinates, the `SkyCoord` object may look something like -```python +```py hl_lines="2 5 6 7 8 9 10" import astropy.units as u from astropy.coordinates import SkyCoord from astropy.time import Time @@ -73,18 +76,25 @@ skycoord = SkyCoord( frame="galactic" ) ``` -The `astropy.time.Time` object can represent time in many formats, including julian and modified julian dates (see the [documentation](https://docs.astropy.org/en/stable/time/) for the `Time` object). +The `astropy.time.Time` object can represent time in many formats, including Julian and modified Julian dates (see the [documentation](https://docs.astropy.org/en/stable/time/) on times with Astropy). + +The user should use the following coordinate frames when transforming between Ecliptic, Galatic, and Celestial coordinates in string representation: + +- "barycentricmeanecliptic" +- "galactic" +- "icrs" -!!! note "Notes on coordinate frames" - The coordinates specified to ZodiPy in the `SkyCoord` object must be in either the Ecliptic, Galactic, or Celestial - frames. The origin of the frames are therefore not important. Astropy provides a set of supported coordinate frames. In ZodiPy we use the following Astropy frames to represent generic Ecliptic, Galactic, and Celestial frames: +or using the frame objects imported from `astropy.coordinataes`: - - Ecliptic = `"barycentricmeanecliptic"` / `BarycentricMeanEcliptic` - - Galactic = `"galactic"` / `Galactic` - - Celestial = `"icrs"` / `ICRS` +- `BarycentricMeanEcliptic` +- `Galactic` +- `ICRS` -In the following we show three sets of observations in all three coordinate frames -``` py +!!! info "Notes on coordinate frames" + The user input is assumed to be observer-centric, meaning that we do not care about the origin of the frame passed in. This is instead supplied through the `obspos` keyword in the `evaluate` method. The above built-in Astropy frames share an origin and can therefore trivially be converted internally in ZodiPy. + +In the following, we show three sets of observations in all three coordinate frames +```py hl_lines="2 9 15 21" import astropy.units as u from astropy.coordinates import SkyCoord, BarycentricMeanEcliptic, Galactic, ICRS from astropy.time import Time @@ -111,7 +121,13 @@ skycoord_celestial = SkyCoord( ### The `evaluate` method Zodiacal light is evaluated by passing in the `SkyCoord` object to the `zodipy.Model.evaluate` method. -```python + +!!! note + ZodiPy assumes that all coordinates provided to a single `evalute` call are obtained at an instant in time from the position of the observer. The zodiacal light moves by about ~1 degree on the sky each day, meaning that long time-ordered pointing Sequences need to be rechunked. + For the best result, each call to `evaluate` should contain pointing observed within ~ 1 hour of the `obstime` provided in the `SkyCoord` object. + + +```py hl_lines="15" import astropy.units as u from astropy.coordinates import SkyCoord from astropy.time import Time @@ -130,9 +146,9 @@ emission = model.evaluate(skycoord) print(emission) # ``` -By default the observer is assumed to be on Earth. The position of the observer can be explicitly provided as the keyword argument `obspos` in the `evaluate` method +By default, the observer is assumed to be on Earth. The position of the observer can be explicitly provided as the keyword argument `obspos` in the `evaluate` method -```python +```py hl_lines="15 19" import astropy.units as u from astropy.coordinates import SkyCoord from astropy.time import Time @@ -155,17 +171,15 @@ emission = model.evaluate(skycoord, obspos=[0.87, -0.53, 0.001] * u.AU) print(emission) # ``` -This argument accepts both a string represented a body recognized by `astropy.coordinates.solar_system_ephemeris` (see the Astropy [documentation](https://docs.astropy.org/en/stable/api/astropy.coordinates.solar_system_ephemeris.html)), or a heliocentric ecliptic cartesian position. +This argument accepts both a string representing a body recognized by `astropy.coordinates.solar_system_ephemeris` (see the Astropy [documentation](https://docs.astropy.org/en/stable/api/astropy.coordinates.solar_system_ephemeris.html)), or a heliocentric ecliptic cartesian position. -!!! note "Important to know when using ZodiPy" - ZodiPy assumes that all coordinates provided in a single call to `evalute` is obtained at an instant in time from the position of the observer. This is a good approximation for observations made within small time intervals, e.g less than a few hours. This is due to the time-varying of the zodiacal light which moves by about 1 degree on the sky each day. - - For the best result, long observations should be split into smaller chunks containing observations within a ~ 1 hour period. +!!! tip + If the coordinates in the `SkyCoord` object contain a large number of re-observations, as is the case for many satellite observations, setting the `contains_duplicates` keyword in the `evaluate` method to `True` will speed up the evaluations. ## Examples ### Emission along an Ecliptic scan -In the following we simulate a scan across the Ecliptic plane +In the following, we simulate a scan across the Ecliptic plane ``` py title="ecliptic_scan.py" {!examples/ecliptic_scan.py!} @@ -201,7 +215,7 @@ We can return the zodiacal light for each component by using setting the keyword ### Visualizing the interplanetary dust distribution -We can evaluate the number density of an interplanetary dust model using the `grid_number_density` function +We can visualize the number density of a supported zodiacal light model by using the `grid_number_density` function ``` py title="number_density.py" {!examples/number_density.py!} ``` diff --git a/mkdocs.yml b/mkdocs.yml index aaee021..d9b7c4c 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -18,9 +18,16 @@ theme: icon: logo: material/book-open-page-variant features: + - search.suggest + - search.highlight + - content.tabs.link + - navigation.indexes + - content.tooltips + - navigation.path + - content.code.annotate - content.code.copy - content.code.select - + - navigation.tabs markdown_extensions: - markdown_include.include: base_path: docs @@ -49,7 +56,20 @@ nav: plugins: - search - mkdocstrings: - default_handler: python handlers: - options: - merge_init_into_class: true \ No newline at end of file + python: + options: + inherited_members: true + merge_init_into_class: true + members_order: source + separate_signature: true + unwrap_annotated: true + docstring_section_style: spacy + signature_crossrefs: true + show_symbol_type_heading: true + show_symbol_type_toc: true +# - mkdocstrings: +# default_handler: python +# handlers: +# options: +# merge_init_into_class: true \ No newline at end of file diff --git a/poetry.lock b/poetry.lock index 3ce2ea5..41d0d95 100644 --- a/poetry.lock +++ b/poetry.lock @@ -81,13 +81,13 @@ test = ["hypothesis", "pytest-astropy"] [[package]] name = "astropy-iers-data" -version = "0.2024.4.8.0.32.4" +version = "0.2024.5.6.0.29.28" description = "IERS Earth Rotation and Leap Second tables for the astropy core package" optional = false python-versions = ">=3.8" files = [ - {file = "astropy-iers-data-0.2024.4.8.0.32.4.tar.gz", hash = "sha256:420afca681a63ef2fa9fa22f78b7629008bd8638ed0a73f9c9288a08dca08bc7"}, - {file = "astropy_iers_data-0.2024.4.8.0.32.4-py3-none-any.whl", hash = "sha256:4d461830f74b7b8bedac00d45d1a5413b6db58442e2df7c38c6fdc7cabc7a553"}, + {file = "astropy_iers_data-0.2024.5.6.0.29.28-py3-none-any.whl", hash = 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+24,7 @@ class Model: - """Main interface to ZodiPy.""" + """The `Model` class is the main interface to ZodiPy.""" def __init__( self, @@ -41,26 +41,26 @@ def __init__( """Initialize the Zodipy interface. Args: - x: Wavelength or frequency. If `x` is a array-like it is assumed to be a bandpass and - `weights` must be provided. + x: Wavelength or frequency. If `x` is a sequence, it is assumed to be a the points + corresponding to a bandpass and the corresponding `weights` must be provided. weights: Bandpass weights corresponding the the frequencies in `freq`. The weights are - assumed to be given in spectral radiance units (Jy/sr). + assumed to represent a normalized instrument response in units of spectral radiance + (Jy/sr). name: Interplanetary dust model to use. For a list of available models, see https://cosmoglobe.github.io/zodipy/introduction/. Defaults to 'dirbe'. gauss_quad_degree: Order of the Gaussian-Legendre quadrature used to evaluate the line-of-sight integral in the simulations. Default is 50 points. extrapolate: If `True` all spectral quantities in the selected model are extrapolated to the requested frequencies or wavelengths. If `False`, an exception is raised on - requested frequencies/wavelengths outside of the valid model range. Default is - `False`. + requested `x` outside of the valid model range. Default is `False`. ephemeris: Ephemeris used in `astropy.coordinates.solar_system_ephemeris` to compute the positions of the observer and the Earth. Defaults to 'builtin'. See the [Astropy documentation](https://docs.astropy.org/en/stable/coordinates/solarsystem.html) for available ephemerides. - n_proc: Number of cores to use. If `n_proc` is greater than 1, the line-of-sight - integrals are parallelized using the `multiprocessing` module. Defaults to 1. - pool: Custom multiprocessing pool to use. If `None`, a new pool is created. Defaults to - `None`. + n_proc: Number of cores to use. If `n_proc >= 1`, the line-of-sight integrals are + parallelized using the `multiprocessing` module. Defaults to 1. + pool: Custom multiprocessing pool to use. If `None`, a new pool is created if + `n_proc >= 1`. Defaults to `None`. """ try: @@ -119,7 +119,12 @@ def evaluate( return_comps: bool = False, contains_duplicates: bool = False, ) -> units.Quantity[units.MJy / units.sr]: - """Return the simulated zodiacal light for all observations in a `SkyCoord` object. + """Return the simulated zodiacal light. + + The zodiacal light is simulated for a single, or a sequence of observations from a + position in the Solar system specified by the `obspos` argument, and at instant in + time specified in `skycoord` The `obstime` and `frame` keywords must be specified in the + `SkyCoord` object. Args: skycoord: `astropy.coordinates.SkyCoord` object representing the observations for which @@ -260,17 +265,24 @@ def evaluate( return emission if return_comps else emission.sum(axis=0) def get_parameters(self) -> dict: - """Return a dictionary containing the interplanetary dust model parameters.""" + """Return a dictionary containing the interplanetary dust model parameters. + + This method is mainly meant to be used to fit or sample zodiacal light models. + + Returns: + parameters: Dictionary of parameters of the interplanetary dust model. + """ return self._interplanetary_dust_model.to_dict() def update_parameters(self, parameters: dict) -> None: """Update the interplanetary dust model parameters. + This method is mainly meant to be used to fit or sample zodiacal light models. + Args: parameters: Dictionary of parameters to update. The keys must be the names of the parameters as defined in the model. To get the parameters dict of an existing model, use `Zodipy("dirbe").get_parameters()`. - """ _dict = parameters.copy() _dict["comps"] = {}