Merge da3071b into 2dff899

README.rst

@@ -1,7 +1,7 @@
 *species*
 =========
 
-**s**\ pectral and **p**\ hotometric **e**\ xamination **c**\ ode for **i**\ nvestigating **e**\ xoplanet and **s**\ ubstellar atmospheres
+**spe**\ctral **c**\ haracterization and **i**\ nference for **e**\ xoplanet **s**\ cience
 
 .. image:: https://badge.fury.io/py/species.svg
     :target: https://badge.fury.io/py/species
@@ -27,7 +27,7 @@
 .. image:: https://img.shields.io/badge/arXiv-1912.13316-orange.svg?style=flat
     :target: https://arxiv.org/abs/1912.13316
 
-*species* is a toolkit for atmospheric characterization of exoplanets and brown dwarfs. It provides a coherent framework for spectral and photometric analysis which builds on publicly-available data from various resources such as spectral and photometric libraries, atmospheric models, and evolutionary tracks. There are tools available for grid retrievals with Bayesian inference, color-magnitude diagrams, spectral and photometric calibration, and synthetic photometry. The package has been released on `PyPI <https://pypi.org/project/species/>`_ and is actively developed and maintained on Github.
+*species* is a toolkit for atmospheric characterization of directly imaged exoplanets and brown dwarfs. It provides a coherent framework for spectral and photometric analysis which builds on publicly-available data and models from various resources. There are tools available for grid and free atmospheric retrievals with Bayesian inference, color-magnitude and color-color diagrams, spectral and photometric calibration, and synthetic photometry. The package is has been released on `PyPI <https://pypi.org/project/species/>`_ and is actively developed and maintained on Github.
 
 Documentation
 -------------
@@ -42,11 +42,11 @@ Please cite `Stolker et al. (2020) <https://ui.adsabs.harvard.edu/abs/2020A%26A.
 Contributing
 ------------
 
-Contributions are welcome, please consider forking the repository and creating a pull request. Bug reports can be provided by creating an `issue <https://github.com/tomasstolker/species/issues>`_ on the Github page.
+Contributions are welcome so please consider forking the repository and creating a pull request. Bug reports can be provided by creating an `issue <https://github.com/tomasstolker/species/issues>`_ on the Github page.
 
 License
 -------
 
-Copyright 2018-2020 Tomas Stolker
+Copyright 2018-2021 Tomas Stolker
 
 *species* is distributed under the MIT License. See the LICENSE file for the terms and conditions.

docs/conf.py

@@ -20,7 +20,7 @@
 # -- Project information -----------------------------------------------------
 
 project = 'species'
-copyright = '2018-2020, Tomas Stolker'
+copyright = '2018-2021, Tomas Stolker'
 author = 'Tomas Stolker'
 
 # The short X.Y version

docs/configuration.rst

@@ -21,14 +21,14 @@ In this case the database is stored in the working folder and an absolute path p
          >>> import os
          >>> os.getcwd()
 
-The workflow with *species* is now initiated with :class:`~species.core.setup.SpeciesInit`:
+The workflow with *species* can now be initiated with the :class:`~species.core.setup.SpeciesInit` class:
 
 .. code-block:: python
 
    >>> import species
    >>> species.SpeciesInit()
 
-A configuration file with default values is automatically created when `species` is initiated and the configuration file is not present in the working folder.
+Alternatively, a configuration file with default values is automatically created when `species` is initiated and the configuration file is not present in the working folder.
 
 .. tip::
    The same `data_folder` can be used in multiple configuration files. In this way, the data is only downloaded once and easily reused by a new instance of :class:`~species.core.setup.SpeciesInit`. Also the HDF5 database can be reused by simply including the same `database` in the configuration file.