Merge branch 'master' of github.com:dgerosa/precession

Author: dgerosa

.github/workflows/docs.yml

@@ -24,7 +24,7 @@ jobs:
         cd utils
         jupyter nbconvert --to notebook --execute examples.ipynb
         nb2plots examples.nbconvert.ipynb > examples.rst
-    - uses: actions/upload-artifact@v3
+    - uses: actions/upload-artifact@v4
       with:
         name: examples.rst
         path: utils/examples.rst
@@ -35,7 +35,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
     - uses: actions/checkout@v3
-    - uses: actions/download-artifact@v3
+    - uses: actions/download-artifact@v4
       with:
         name: examples.rst
         path: docs

README.md

@@ -3,7 +3,7 @@
 
 ## precession
 
-`precession` is an Python module to study the dynamics of precessing black-hole binaries using multi-timescale methods. The code provides a comprehensive toolbox to (i) capture the black-hole dynamics on the spin-precession timescale in closed form, (ii) average generic quantities over a precession period, (iii) numerically integrate the binary inspiral using both orbit- and precession-averaged approximations, (v) evaluate spin-precession estimators to be used in gravitational-wave astronomy, and (vi) estimate the remnant properties. Key applications include propagating gravitational-wave posterior samples as well as population-synthesis predictions of astrophysical nature.
+`precession` is a Python module to study the dynamics of precessing black-hole binaries using multi-timescale methods. The code provides a comprehensive toolbox to (i) capture the black-hole dynamics on the spin-precession timescale in closed form, (ii) average generic quantities over a precession period, (iii) numerically integrate the binary inspiral using both orbit- and precession-averaged approximations, (v) evaluate spin-precession estimators to be used in gravitational-wave astronomy, and (vi) estimate the remnant properties. Key applications include propagating gravitational-wave posterior samples as well as population-synthesis predictions of astrophysical nature.
 
 The current version (v2) of `precession` is described in 
 - *Efficient multi-timescale dynamics of precessing black-hole binaries.*