update doc

doc/source/index.rst

@@ -9,16 +9,18 @@ It is largely inspired by the
 model proposed by [1]_, [3]_.
 In particular the modeling of gaussian processes is similar,
 and uses the same semiseparable matrices representation as celerite.
-S+LEAF extends the celerite model in two ways:
+S+LEAF extends the celerite model in several ways:
 
 - It allows to account
   for close to diagonal (LEAF) noises such as instrument calibration errors
-  (see [2]_ for more details).
+  (see [2]_).
 - It allows to model simulatenously several time series
   with the same Gaussian processes and their derivatives
-  (see [4]_ for more details).
+  (see [4]_).
+- It provides an efficient implementation of the FENRIR stellar activity model
+  (see [5]_)
 
-Please cite [2]_ and [4]_ if you use S+LEAF in a publication.
+Please cite [2]_, [4]_, and/or [5]_ if you use S+LEAF in a publication.
 
 Installation
 ------------
@@ -90,3 +92,4 @@ References
 .. [2] `Delisle, J.-B., Hara, N., and Ségransan, D., "Efficient modeling of correlated noise. II. A flexible noise model with fast and scalable methods", 2020 <https://ui.adsabs.harvard.edu/abs/2020A\&A...638A..95D>`_.
 .. [3] `Gordon, T. A., Agol, E., Foreman-Mackey, D., "A Fast, Two-dimensional Gaussian Process Method Based on Celerite: Applications to Transiting Exoplanet Discovery and Characterization", 2020 <https://ui.adsabs.harvard.edu/abs/2020AJ....160..240G>`_.
 .. [4] `Delisle, J.-B., Unger, N., Hara, N., and Ségransan, D., "Efficient modeling of correlated noise. III. Scalable methods for jointly modeling several observables' time series with Gaussian processes", 2022 <https://ui.adsabs.harvard.edu/abs/2022A\&A...659A.182D>`_.
+.. [5] `Hara, N., and Delisle, J.-B., "A statistical model of stellar variability. I. FENRIR: a physics-based model of stellar activity, and its fast Gaussian process approximation", submitted`_.