diff --git a/examples/Chambers2013/.gitignore b/examples/Chambers2013/.gitignore
index 64af50e94..0ea510e82 100644
--- a/examples/Chambers2013/.gitignore
+++ b/examples/Chambers2013/.gitignore
@@ -1,5 +1,6 @@
 *
 !.gitignore
-!init_cond.py
+!initial_conditions.py
 !scattermovie.py
+!run_simulation.py
 !README.txt
diff --git a/examples/Chambers2013/initial_conditions.py b/examples/Chambers2013/initial_conditions.py
new file mode 100755
index 000000000..596d6829c
--- /dev/null
+++ b/examples/Chambers2013/initial_conditions.py
@@ -0,0 +1,168 @@
+#!/usr/bin/env python3
+
+"""
+ Copyright 2023 - David Minton, Carlisle Wishard, Jennifer Pouplin, Jake Elliott, & Dana Singh
+ This file is part of Swiftest.
+ Swiftest is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License 
+ as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
+ Swiftest is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty 
+ of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
+ You should have received a copy of the GNU General Public License along with Swiftest. 
+ If not, see: https://www.gnu.org/licenses. 
+"""
+
+"""
+Generates a set of Swiftest input files from initial conditions with the SyMBA integrator. All simulation 
+outputs are stored in the /simdata subdirectory.
+
+Input
+------
+None.
+
+Output
+------
+inital_conditions.png : A .png file depicting the simulation initial configuration.
+init_cond.nc          : A NetCDF file containing the initial conditions for the simulation.
+param.in              : An ASCII file containing the parameters for the simulation.
+""" 
+
+import swiftest
+import numpy as np
+from numpy.random import default_rng
+import matplotlib.pyplot as plt
+
+# Initialize simulation object
+sim = swiftest.Simulation(compute_conservation_values=True, rotation=True, init_cond_format="EL",collision_model="fraggle",encounter_save="none")
+sim.clean()
+
+# Add bodies described in Chambers (2013) Sec. 2.1, with the uniform spatial distribution and two bodies sizes (big and small)
+Nb = 14
+Ns = 140
+Mb = 2.8e-7 * 14 / Nb
+Ms = 2.8e-8 * 140 / Ns
+dens = 3000.0 * sim.KG2MU / sim.M2DU**3
+rot = 1e-6 / sim.TU2S # Use a small but non-zero value for the initial rotation state to prevent divide-by-zero errors in analysis
+
+mtiny = 1e-2 * Ms
+minimum_fragment_mass = 1e-5 * Ms
+nfrag_reduction = 30.0
+rng = default_rng(seed=3031179)
+
+runname = "Chambers (2013)"
+def a_profile(n_bodies):
+    """
+    Generates the profile described in Sec. 2.1 of Chambers:  
+    
+    *In all cases, the surface density R = 8 g/cm2 at 1 AU, varying as a**(-3/2), where a is the orbital semi-major axis. 
+    The region with a < 0.7 AU deviates from this law, declining linearly with decreasing distance until R = 0 at 0.3 AU. 
+    The outer edge of the disk is 2 AU in all cases.
+    """
+    def sample(r_inner, r_break, r_outer, slope1, slope2, size):
+        """ 
+        Define the functions to pull random semi-major axes from a distribution using a rejection sampling method
+        This defines a 2-slope model with a break at r_break
+        Based on (https://stackoverflow.com/questions/66874819/random-numbers-with-user-defined-continuous-probability-distribution)
+        """
+        y=np.ones([size])
+        pdf=np.zeros([size])
+        x=np.empty_like(y)
+        while np.any(y>pdf): 
+            x = np.where(y>pdf,rng.uniform(r_inner, r_outer, size=size),x)
+          
+            # The proportionality factor A ensures that the PDF approaches the same value on either side of the break point
+            # Assumes the break point is the max of the PDF
+            A=np.where(x < r_break,1.0,r_break**(slope1-slope2))
+            slope=np.where(x < r_break,slope1+1,slope2+1)
+            y = np.where(y>pdf,rng.uniform(0, A*r_break**slope, size=size),y)
+            pdf = np.where(y>pdf,A*x**(slope),pdf)
+        return x
+    
+    a_inner = 0.3
+    a_break = 0.7
+    a_outer = 2.0
+    slope1 = 1.0
+    slope2 = -1.5
+   
+    a_vals = sample(a_inner, a_break, a_outer, slope1, slope2, n_bodies)
+    return a_vals
+
+# Define the initial orbital elements of the big and small bodies
+avalb = a_profile(Nb)
+avals = a_profile(Ns)
+
+esigma = 0.01
+isigma = np.rad2deg(0.5 * esigma)
+evalb = rng.rayleigh(scale=esigma, size=Nb)
+evals = rng.rayleigh(scale=esigma, size=Ns)
+incvalb = rng.rayleigh(scale=isigma, size=Nb)
+incvals = rng.rayleigh(scale=isigma, size=Ns)
+
+capomvalb = rng.uniform(0.0, 360.0, Nb)
+capomvals = rng.uniform(0.0, 360.0, Ns)
+omegavalb = rng.uniform(0.0, 360.0, Nb)
+omegavals = rng.uniform(0.0, 360.0, Ns)
+capmvalb = rng.uniform(0.0, 360.0, Nb)
+capmvals = rng.uniform(0.0, 360.0, Ns)
+Ipvalb = np.full((Nb,3), 0.4)
+Ipvals = np.full((Ns,3), 0.4)
+rotvalb = np.full_like(Ipvalb,rot)
+rotvals = np.full_like(Ipvals,rot)
+
+noise_digits = 4 # Approximately the number of digits of precision to vary the mass values to avoid duplicate masses
+epsilon = np.finfo(float).eps
+Mnoiseb = 1.0 + 10**noise_digits * rng.uniform(-epsilon,epsilon, Nb)
+Mnoises = 1.0 + 10**noise_digits * rng.uniform(-epsilon,epsilon, Ns)
+
+Mvalb = Mb * Mnoiseb
+Mvals = Ms * Mnoises
+
+Rvalb = (3 * Mvalb / (4 * np.pi * dens) )**(1.0 / 3.0)
+Rvals = (3 * Mvals / (4 * np.pi * dens) )**(1.0 / 3.0)
+
+# Give the bodies unique names
+nameb = [f"Big{i:03}" for i in range(Nb)]
+names = [f"Small{i:03}" for i in range(Ns)]
+
+# Add the modern planets and the Sun using the JPL Horizons Database.
+sim.add_solar_system_body(["Sun","Jupiter","Saturn","Uranus","Neptune"])
+sim.add_body(name=nameb, a=avalb, e=evalb, inc=incvalb, capom=capomvalb, omega=omegavalb, capm=capmvalb, mass=Mvalb, radius=Rvalb, rot=rotvalb, Ip=Ipvalb)
+sim.add_body(name=names, a=avals, e=evals, inc=incvals, capom=capomvals, omega=omegavals, capm=capmvals, mass=Mvals, radius=Rvals, rot=rotvals, Ip=Ipvals)
+sim.set_parameter(mtiny=mtiny, minimum_fragment_mass=minimum_fragment_mass, nfrag_reduction=nfrag_reduction)
+
+sim.set_parameter(tstop=3e8, dt=6.0875/365.25, istep_out=60000, dump_cadence=10)
+sim.save()
+
+# Plot the initial conditions
+fig = plt.figure(figsize=(8.5, 11))
+ax1 = plt.subplot(2, 1, 1)
+ax2 = plt.subplot(2, 1, 2)
+fig.suptitle(runname)
+
+ic = sim.init_cond.isel(time=0)
+radius = ic['radius'].values
+markersize = radius * 4e5
+markercolor = np.where(radius < 2.0e-5, np.full_like(markersize, "black",dtype=object), np.full_like(markersize,"red",dtype=object))
+a = ic['a'].values
+e = ic['e'].values
+inc = ic['inc'].values
+
+ax1.scatter(a, e, s=markersize, color=markercolor, label=None)
+ax1.set_xlabel("Semimajor Axis (AU)")
+ax1.set_ylabel("Eccentricity")
+ax1.set_xlim([0.0, 2.5])
+ax1.set_ylim([0.0,4*esigma])
+
+ax2.scatter(a, inc, s=markersize, color=markercolor, label=None)
+ax2.set_xlabel("Semimajor Axis (AU)")
+ax2.set_ylabel("Inclination (deg)")
+ax2.set_xlim([0.0, 2.5])
+ax2.set_ylim([0.0,8*isigma])
+
+ax1.scatter(-1, -1, label='planetesimal', color='black')
+ax1.scatter(-1, -1, label='embryo', color='red') 
+ax1.legend(loc='upper right', frameon=False)
+
+plt.tight_layout()
+plt.show()
+fig.savefig('initial_conditions.png',dpi=300)
+
diff --git a/examples/Chambers2013/run_simulation.py b/examples/Chambers2013/run_simulation.py
new file mode 100755
index 000000000..5ae2fb2a3
--- /dev/null
+++ b/examples/Chambers2013/run_simulation.py
@@ -0,0 +1,33 @@
+#!/usr/bin/env python3
+
+"""
+ Copyright 2023 - David Minton
+ This file is part of Swiftest.
+ Swiftest is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License 
+ as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
+ Swiftest is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty 
+ of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
+ You should have received a copy of the GNU General Public License along with Swiftest. 
+ If not, see: https://www.gnu.org/licenses. 
+"""
+
+"""
+This will run the simulation from a set of initial conditions. The simulation parameters in this file are set to generate
+a very short simulation for testing purposes. Edit the values passed to the run() function as necessary.
+
+Input
+------
+simdata/param.in    : ASCII Swiftest parameter input file.
+
+Output
+------
+Outputs are stored in the /simdata subdirectory.
+
+"""
+import swiftest
+sim = swiftest.Simulation(read_param=True)
+
+# Original run parameters
+# sim.run(tstop=3e8, dt=6.0875/365.25, istep_out=60000, dump_cadence=10,integreator="symba")
+# 
+sim.run(tstop=10000.0, dt=6.0875/365.25, istep_out=10000, dump_cadence=0, integrator="symba")
diff --git a/examples/Chambers2013/scattermovie.py b/examples/Chambers2013/scattermovie.py
index 98b0645ef..e1eda643a 100755
--- a/examples/Chambers2013/scattermovie.py
+++ b/examples/Chambers2013/scattermovie.py
@@ -15,6 +15,15 @@
 Creates a movie from a set of Swiftest output files. All simulation 
 outputs are stored in the /simdata subdirectory.
 
+**NOTE: You must have ffmpeg installed on your system before running this script. For instance, on MacOS:
+
+```brew install ffmpeg```
+
+on Ubuntu:
+
+```sudo apt-get install ffmpeg```
+
+
 Input
 ------
 param.in    : ASCII Swiftest parameter input file.
@@ -33,6 +42,8 @@
 from matplotlib import animation
 import matplotlib.colors as mcolors
 from collections import namedtuple
+
+
 plt.switch_backend('agg')
 
 titletext = "Chambers (2013)"
@@ -108,8 +119,8 @@ def init_plot(self):
         self.ax.set_ylabel(ylabel[plot_style], fontsize='16', labelpad=1) 
         
         leg = plt.legend(loc="upper left", scatterpoints=1, fontsize=10)
-        for i,l in enumerate(leg.legendHandles):
-            leg.legendHandles[i]._sizes = [20]
+        for i,l in enumerate(leg.legend_handles):
+            leg.legend_handles[i]._sizes = [20]
         
         if plot_style == "arotscatter":
             self.ax.set_yscale('log')
diff --git a/pyproject.toml b/pyproject.toml
index 488fbaf6b..5e76778a6 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -26,18 +26,19 @@ keywords=['astronomy','astrophysics', 'planetary', 'nbody integrator', 'symplect
 dependencies = [
     'numpy>=1.24.3',
     'scipy>=1.10.1',
-    'xarray>=2022.11.0',
-    'dask>=2022.1',
-    'distributed>=2022.1',
-    'bottleneck>=1.3.5',
-    'h5netcdf',
-    'h5py',
-    'netcdf4',
-    'matplotlib>=3.7.1',
-    'astropy>=5.1',
+    'xarray>=2023.1',
+    'dask>=2023.5',
+    'distributed>=2023.5',
+    'bottleneck>=1.3',
+    'h5netcdf>=1.1',
+    'h5py>=3.9',
+    'netcdf4>=1.6.4',
+    'matplotlib>=3.7',
+    'astropy>=5.2',
     'astroquery>=0.4.6',
-    'tqdm>=4.65.0',
+    'tqdm>=4.66',
     'cython>=3.0.0',
+    'pyshtools>=4.10'
 ]
 
 [project.urls]
@@ -98,14 +99,14 @@ netCDF-Fortran_DIR="${PREFIX}/lib/cmake/netCDF"
 
 [tool.cibuildwheel.macos]
 before-all = [
-    "brew install coreutils",
-    "LIBS=\"\" buildscripts/build_dependencies.sh -p ${PREFIX} -d ${HOME}/Downloads -m ${MACOSX_DEPLOYMENT_TARGET}"
+    "brew install coreutils shtools",
+    "LIBS=\"\" buildscripts/build_dependencies.sh -p ${PREFIX} -d ${PREFIX}/build -m ${MACOSX_DEPLOYMENT_TARGET}"
 ]
 
 [tool.cibuildwheel.linux]
 skip = "cp312-* pp* -manylinux_i686* *-musllinux*"
 before-all = [
-    "yum install doxygen libxml2-devel libcurl-devel -y",
+    "yum install doxygen libxml2-devel libcurl-devel fftw-devel blas-devel lapack-devel -y",
     "buildscripts/build_dependencies.sh -p /usr/local"
 ]
 [tool.cibuildwheel.linux.environment]