Merge pull request #54 from dangilman/correlated_structure

Correlated structure

README.rst

@@ -7,21 +7,21 @@ pyHalo
 
 .. image:: https://coveralls.io/repos/github/dangilman/pyHalo/badge.svg?branch=master
         :target: https://coveralls.io/github/dangilman/pyHalo?branch=master
-        
+
 .. image:: https://badge.fury.io/py/pyhalo.svg
     :target: https://badge.fury.io/py/pyhalo
-        
+
 .. image:: https://github.com/dangilman/pyHalo/blob/master/readme_fig.jpg
         :target: https://github.com/dangilman/pyHalo/blob/master/readme_fig
 
-pyHalo renders full mass distributions for substructure lensing simulations with the open source gravitational lensing software package lenstronomy (https://github.com/lenstronomy/lenstronomy). The example notebooks illustrate the core functionality of this package. 
+pyHalo renders full mass distributions for substructure lensing simulations with the open source gravitational lensing software package lenstronomy (https://github.com/lenstronomy/lenstronomy). The example notebooks illustrate the core functionality of this package.
 
-If you would like to use this package and have questions, please get in touch with me at [email protected] - I am happy to help! 
+If you would like to use this package and have questions, please get in touch with me at [email protected] - I am happy to help!
 
 Installation
 ------------
-Install via pypi: "python3 -m pip install pyhalo". 
-The installation via pip of version 1.1.0 includes some changes that may not be backwards compatible with the previous stable version. To use the previous stable version clone the repository from commit 4dc87c8.
+Install via pypi: "python3 -m pip install pyhalo".
+The installation via pip of version 1.1.1 includes some changes that may not be backwards compatible with the previous stable version. To use the previous stable version clone the repository from commit 4dc87c8.
 
 Install from github: "git clone https://github.com/dangilman/pyHalo.git; cd pyhalo; python -m setup.py install". Make sure to check the requirements listed in requirements.txt
 
@@ -34,7 +34,7 @@ The purpose of this code is to quickly render full populations of dark matter su
     - https://ui.adsabs.harvard.edu/abs/2022MNRAS.512.3163G/abstract
     - https://ui.adsabs.harvard.edu/abs/2023MNRAS.518.5843D/abstract
 
-2) warm dark matter 
+2) warm dark matter
     - https://ui.adsabs.harvard.edu/abs/2020MNRAS.491.6077G/abstract
     - https://ui.adsabs.harvard.edu/abs/2023MNRAS.524.6159K/abstract
 
@@ -56,13 +56,13 @@ Other useful features:
 
 2) a variety of tidal stripping modules designed to predict the bound subhalo mass function given the infall subhalo mass function
 
-3) automatic calculation of negative sheets of convergence along the line of sight to keep the mean density of the Universe equal to the critical density (adding too much additional mass in halos is like lensing in Universe with negative curvature in the sense that light will not travel in straight lines, on average). 
+3) automatic calculation of negative sheets of convergence along the line of sight to keep the mean density of the Universe equal to the critical density (adding too much additional mass in halos is like lensing in Universe with negative curvature in the sense that light will not travel in straight lines, on average).
 
-4) Different geometries for rendering line-of-sight halos, ranging from a cylindrical volume to a double-cone configuration that opens towards the lens and closes towards the source. 
+4) Different geometries for rendering line-of-sight halos, ranging from a cylindrical volume to a double-cone configuration that opens towards the lens and closes towards the source.
 
 5) correlated structure around the main deflector arising from the two-halo term (https://ui.adsabs.harvard.edu/abs/2019MNRAS.487.5721G/abstract, https://ui.adsabs.harvard.edu/abs/2021MNRAS.502.6064L/abstract)
 
-pyHalo currently supports a variety of halo mass profiles, including Navarro-Frenk-White (NFW) profiles, truncated (NFW) profiles, cored power-law (PL) profiles, double PL profiles with variable inner and outer logarithmic slopes, cored NFW profiles, and point masses. 
+pyHalo currently supports a variety of halo mass profiles, including Navarro-Frenk-White (NFW) profiles, truncated (NFW) profiles, cored power-law (PL) profiles, double PL profiles with variable inner and outer logarithmic slopes, cored NFW profiles, and point masses.
 
 Credits
 -------

pyproject.toml

@@ -1,8 +1,8 @@
 [project]
 name = "pyhalo"
-version = "1.1.0"
+version = "1.1.1"
 authors = [
-  { name="Daniel Gilman", email="[email protected]" },
+  { name="Daniel Gilman", email="[email protected]" },
 ]
 description = "A python package for generating populations of dark matter halos"
 readme = "README.md"

setup.py

@@ -19,7 +19,7 @@
 
 setup(
     author="Daniel Gilman",
-    version='1.1.0',
+    version='1.1.1',
     author_email='[email protected]',
     classifiers=[
         'Development Status :: 5 - Stable',