Added arXiv links (#356)

Author: og113

README.md

@@ -1,4 +1,4 @@
-<img src="docs/source/figures/wallgo.svg" alt="WallGoLogo" width="200"/>
+<img src="https://raw.githubusercontent.com/Wall-Go/WallGo/refs/heads/main/docs/source/figures/wallgo.svg" alt="WallGoLogo" width="200"/>
 
 
 # WallGo
@@ -22,7 +22,7 @@ Development: https://github.com/Wall-Go/WallGo
 ## About this project
 
 [**WallGo**](https://wallgo.readthedocs.io) is an open source code for the computation of the bubble wall velocity and bubble wall width in first-order cosmological phase transitions.
-The main WallGo Python package determines the wall velocity and width by solving the scalar field(s) equation of motion, the Boltzmann equations and energy-momentum conservation for the fluid velocity and temperature.
+The main WallGo Python package determines the wall velocity and width by solving the scalar field(s) equation of motion, the Boltzmann equations and energy-momentum conservation for the fluid velocity and temperature. The physical and mathematical details are explained in [the associated paper](https://arxiv.org/abs/2411.04970).
 
 The [**WallGo**](https://github.com/Wall-Go/WallGo) package is accompanied by two subsidiary software packages:
 - [**WallGoCollision**](https://github.com/Wall-Go/WallGoCollision) performs the higher-dimensional integrals to obtain the collision terms in the Boltzmann equations, and is written in C++. It also has Python bindings so that it can be called directly from Python, but still benefits from the speedup from compiled C++ code.

docs/source/faqs.rst

@@ -13,7 +13,19 @@ General
 - **How should I cite WallGo?**
 
     WallGo is free and open source, but if you use WallGo in your work, we ask that you
-    support us by please citing the WallGo paper, `arXiv:2410.00000 <https://arxiv.org/abs/2410.00000>`_.
+    support us by please citing the WallGo paper, `arXiv:2411.04970 <https://arxiv.org/abs/2411.04970>`_. The complete BibTex citation from `Inspire <https://inspirehep.net/literature/2846423>`_ is::
+
+        @article{Ekstedt:2024fyq,
+            author = "Ekstedt, Andreas and Gould, Oliver and Hirvonen, Joonas and Laurent, Benoit and Niemi, Lauri and Schicho, Philipp and van de Vis, Jorinde",
+            title = "{How fast does the WallGo? A package for computing wall velocities in first-order phase transitions}",
+            eprint = "2411.04970",
+            archivePrefix = "arXiv",
+            primaryClass = "hep-ph",
+            reportNumber = "CERN-TH-2024-174, DESY-24-162, HIP-2024-21/TH",
+            month = "11",
+            year = "2024"
+        }
+
 
 Installation
 ============

docs/source/index.rst

@@ -2,7 +2,7 @@
 WallGo documentation
 ======================================
 
-WallGo is an open source code for the computation of the bubble wall velocity and bubble wall width in first-order cosmological phase transitions. If you use WallGo, please cite arXiv:....
+WallGo is an open source code for the computation of the bubble wall velocity and bubble wall width in first-order cosmological phase transitions. If you use WallGo, please cite the WallGo paper `arXiv:2411.04970 <https://arxiv.org/abs/2411.04970>`_. :footcite:p:`Ekstedt:2024fyq`
 
 As the universe cooled after the Hot Big Bang, it may have gone through any number of cosmological first-order phase transitions. Such transitions proceed via the nucleation and growth of bubbles, as shown in the image below. :footcite:p:`Weir_2016` The collisions of these bubbles may lead to an observable gravitational wave signal today, depending on the speed of the bubble walls as they collide.
 

docs/source/refs.bib

@@ -46,3 +46,15 @@ @article{Gould:2021ccf
     pages = "096015",
     year = "2021"
 }
+
+@article{Ekstedt:2024fyq,
+    author = "Ekstedt, Andreas and Gould, Oliver and Hirvonen, Joonas and Laurent, Benoit and Niemi, Lauri and Schicho, Philipp and van de Vis, Jorinde",
+    title = "{How fast does the WallGo? A package for computing wall velocities in first-order phase transitions}",
+    eprint = "2411.04970",
+    archivePrefix = "arXiv",
+    primaryClass = "hep-ph",
+    reportNumber = "CERN-TH-2024-174, DESY-24-162, HIP-2024-21/TH",
+    month = "11",
+    year = "2024",
+    journal = "arXiv"
+}