Repository: beam-tracing/Scotty (language: python)

Issue:
Bug in "analytic" magnetic field
I think there might be a sign error in `find_B_R` for the circular cross-section geometry ("analytic"): https://github.com/valerian-chen/Scotty/blob/0b892d26ca2a44f69b8ddadb1c86c73205001792/scotty/beam_me_up.py#L519-L524

![image](https://user-images.githubusercontent.com/1486942/200035797-eae91f27-52b5-48a6-9d24-9e018c17d446.png)

On the left is a `streamplot` of `B_R, B_Z`, and on the right is `-B_R, B_Z`. Typically, I think we have: $B_R = -\frac{1}{R} \frac{d\psi}{dZ}$, so I think we need to return `-B_R` above.

For the simple test case, it makes a fair bit of difference to `Psi_3D_output` at the final `tau` point:

```python
before = np.array(
    [
        [-1981.34524 + 12663.9231j, 165.75912 - 489.479751j, -498.381194 - 1451.72743j],
        [165.75912 - 489.479751j, 3545.55485 + 1946.35267j, -6.7750716 + 62.7537266j],
        [-498.381194 - 1451.72743j, -6.7750716 + 62.7537266j, 2465.1662 + 166.480184j],
    ]
)
after = np.array(
    [
        [-1610.67883254 + 1.27655263e04j, -49.98203756 + 3.42882509e01j, -553.16605173 - 1.41526821e03j],
        [-49.98203756 + 3.42882509e01j, 3549.99540711 + 1.91633120e03j, 32.60030345 + 1.07767585e01j],
        [-553.16605173 - 1.41526821e03j, 32.60030345 + 1.07767585e01j, 2466.57382678 + 1.57149892e02j],
    ]
)
```

I did check the [COCOS conventions](https://docs.google.com/document/d/1-efimTbI55SjxL_yE_GKSmV4GEvdzai7mAj5UYLLUXw/edit), but I'm reasonably sure that `B_R` and `B_Z` must have different signs


Discussion / hints:
I'll look into this tomorrow
Yeah, there's definitely a bug. However, $\frac{d\psi}{dZ}$ has a sign too (since this is the poloidal flux, not the normalised poloidal flux). It's up to us to decide if the plasma current should be co or counter to the toroidal magnetic field. 

Assuming we have co-current, then It's $B_Z$ that should have a negative sign, not $B_R$. If you're alright with that.
Assuming you want the same coordinate conventions as TORBEAM and GENRAY, then that's COCOS 5:

- $\sigma_{B_p}$ = +1: $B_p$ has sign of $\nabla \phi \wedge \nabla \psi$
- $\sigma_{R\phi Z}$ = +1: $(R, \phi, Z)$ is right-handed, $\phi$ is anti/counter-clockwise from the top
- $\sigma_{\rho \theta \phi}$ = -1: $(\rho, \phi, \theta)$ is right-handed, $\theta$ is anti/counter-clockwise from the front

If you then have $I_p$ positive in this system, then $B_p$ needs to flip sign too: $B_p = sign[I_p]\sigma_{\rho \theta \phi}\sqrt{B_R^2 + B_Z^2}$

It also means that the sign of $q$ is negative.

The EFIT++ field has flipped signs too, with $B_R = -\tfrac{1}{R} \tfrac{d \psi}{d Z}$ and $B_Z = \tfrac{1}{R} \tfrac{d \psi}{d Z}$ -- ah, but this looks to be correct, because EFIT (and presumably EFIT++ too?) uses COCOS 3, so we need to flip the sign of $\psi$ to do the conversion
There are two issues here.
- Making sure Scotty has the same convention as GENRAY and TORBEAM
- Making sure that EFIT data is indeed being read correctly into Scotty (and TORBEAM).

If I recall, the constant of proportionality between $\psi$ and $\psi_n$ has a negative sign, at least on MAST. Let's have a call to discuss further.



Fix patch:
diff --git a/.gitignore b/.gitignore
index 3a0b848d..734cf824 100644
--- a/.gitignore
+++ b/.gitignore
@@ -226,6 +226,8 @@ cython_debug/
 *.npz
 *.nc
 *.hdf5
+*.dat
+*topfile*
 
 # Generated version file
 scotty/_version.py
diff --git a/docs/api/scotty.Generate_Input7.rst b/docs/api/scotty.Generate_Input7.rst
deleted file mode 100644
index 8e0992aa..00000000
--- a/docs/api/scotty.Generate_Input7.rst
+++ /dev/null
@@ -1,7 +0,0 @@
-scotty.Generate\_Input7 module
-==============================
-
-.. automodule:: scotty.Generate_Input7
-   :members:
-   :undoc-members:
-   :show-inheritance:
diff --git a/docs/api/scotty.check_input.rst b/docs/api/scotty.check_input.rst
new file mode 100644
index 00000000..17565348
--- /dev/null
+++ b/docs/api/scotty.check_input.rst
@@ -0,0 +1,7 @@
+scotty.check\_input module
+==========================
+
+.. automodule:: scotty.check_input
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/api/scotty.check_output.rst b/docs/api/scotty.check_output.rst
new file mode 100644
index 00000000..87081b81
--- /dev/null
+++ b/docs/api/scotty.check_output.rst
@@ -0,0 +1,7 @@
+scotty.check\_output module
+===========================
+
+.. automodule:: scotty.check_output
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/api/scotty.generate_input.rst b/docs/api/scotty.generate_input.rst
new file mode 100644
index 00000000..ebeda95f
--- /dev/null
+++ b/docs/api/scotty.generate_input.rst
@@ -0,0 +1,7 @@
+scotty.generate\_input module
+=============================
+
+.. automodule:: scotty.generate_input
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/api/scotty.geometry.rst b/docs/api/scotty.geometry.rst
new file mode 100644
index 00000000..97b11398
--- /dev/null
+++ b/docs/api/scotty.geometry.rst
@@ -0,0 +1,7 @@
+scotty.geometry module
+======================
+
+.. automodule:: scotty.geometry
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/api/scotty.rst b/docs/api/scotty.rst
index ad174c41..576491e6 100644
--- a/docs/api/scotty.rst
+++ b/docs/api/scotty.rst
@@ -14,13 +14,14 @@ Submodules
 
    scotty.B_derivative_test
    scotty.FindPsiBeam4
-   scotty.Generate_Input7
    scotty.OMFITsave_test
    scotty.PlotAllLocalisationLog
    scotty.PlotInput
    scotty.PlotPsiBC2
    scotty.beam_me_up
    scotty.check_ModeConversion
+   scotty.check_input
+   scotty.check_output
    scotty.compare_plot
    scotty.debugging
    scotty.density_fit
@@ -29,6 +30,7 @@ Submodules
    scotty.fun_evolution
    scotty.fun_general
    scotty.fun_mix
+   scotty.geometry
    scotty.hornpy
    scotty.init_bruv
    scotty.lensalot
@@ -36,4 +38,5 @@ Submodules
    scotty.plot3_pretty
    scotty.plot4
    scotty.postmortem2
+   scotty.torbeam
    scotty.typing
diff --git a/docs/api/scotty.torbeam.rst b/docs/api/scotty.torbeam.rst
new file mode 100644
index 00000000..6a1828ec
--- /dev/null
+++ b/docs/api/scotty.torbeam.rst
@@ -0,0 +1,7 @@
+scotty.torbeam module
+=====================
+
+.. automodule:: scotty.torbeam
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/ne.dat b/ne.dat
deleted file mode 100644
index 3e6ad65f..00000000
--- a/ne.dat
+++ /dev/null
@@ -1,102 +0,0 @@
-101
-0.00000000e+00 4.00000000e+00 
-1.00000000e-02 3.99960000e+00 
-2.00000000e-02 3.99840000e+00 
-3.00000000e-02 3.99640000e+00 
-4.00000000e-02 3.99360000e+00 
-5.00000000e-02 3.99000000e+00 
-6.00000000e-02 3.98560000e+00 
-7.00000000e-02 3.98040000e+00 
-8.00000000e-02 3.97440000e+00 
-9.00000000e-02 3.96760000e+00 
-1.00000000e-01 3.96000000e+00 
-1.10000000e-01 3.95160000e+00 
-1.20000000e-01 3.94240000e+00 
-1.30000000e-01 3.93240000e+00 
-1.40000000e-01 3.92160000e+00 
-1.50000000e-01 3.91000000e+00 
-1.60000000e-01 3.89760000e+00 
-1.70000000e-01 3.88440000e+00 
-1.80000000e-01 3.87040000e+00 
-1.90000000e-01 3.85560000e+00 
-2.00000000e-01 3.84000000e+00 
-2.10000000e-01 3.82360000e+00 
-2.20000000e-01 3.80640000e+00 
-2.30000000e-01 3.78840000e+00 
-2.40000000e-01 3.76960000e+00 
-2.50000000e-01 3.75000000e+00 
-2.60000000e-01 3.72960000e+00 
-2.70000000e-01 3.70840000e+00 
-2.80000000e-01 3.68640000e+00 
-2.90000000e-01 3.66360000e+00 
-3.00000000e-01 3.64000000e+00 
-3.10000000e-01 3.61560000e+00 
-3.20000000e-01 3.59040000e+00 
-3.30000000e-01 3.56440000e+00 
-3.40000000e-01 3.53760000e+00 
-3.50000000e-01 3.51000000e+00 
-3.60000000e-01 3.48160000e+00 
-3.70000000e-01 3.45240000e+00 
-3.80000000e-01 3.42240000e+00 
-3.90000000e-01 3.39160000e+00 
-4.00000000e-01 3.36000000e+00 
-4.10000000e-01 3.32760000e+00 
-4.20000000e-01 3.29440000e+00 
-4.30000000e-01 3.26040000e+00 
-4.40000000e-01 3.22560000e+00 
-4.50000000e-01 3.19000000e+00 
-4.60000000e-01 3.15360000e+00 
-4.70000000e-01 3.11640000e+00 
-4.80000000e-01 3.07840000e+00 
-4.90000000e-01 3.03960000e+00 
-5.00000000e-01 3.00000000e+00 
-5.10000000e-01 2.95960000e+00 
-5.20000000e-01 2.91840000e+00 
-5.30000000e-01 2.87640000e+00 
-5.40000000e-01 2.83360000e+00 
-5.50000000e-01 2.79000000e+00 
-5.60000000e-01 2.74560000e+00 
-5.70000000e-01 2.70040000e+00 
-5.80000000e-01 2.65440000e+00 
-5.90000000e-01 2.60760000e+00 
-6.00000000e-01 2.56000000e+00 
-6.10000000e-01 2.51160000e+00 
-6.20000000e-01 2.46240000e+00 
-6.30000000e-01 2.41240000e+00 
-6.40000000e-01 2.36160000e+00 
-6.50000000e-01 2.31000000e+00 
-6.60000000e-01 2.25760000e+00 
-6.70000000e-01 2.20440000e+00 
-6.80000000e-01 2.15040000e+00 
-6.90000000e-01 2.09560000e+00 
-7.00000000e-01 2.04000000e+00 
-7.10000000e-01 1.98360000e+00 
-7.20000000e-01 1.92640000e+00 
-7.30000000e-01 1.86840000e+00 
-7.40000000e-01 1.80960000e+00 
-7.50000000e-01 1.75000000e+00 
-7.60000000e-01 1.68960000e+00 
-7.70000000e-01 1.62840000e+00 
-7.80000000e-01 1.56640000e+00 
-7.90000000e-01 1.50360000e+00 
-8.00000000e-01 1.44000000e+00 
-8.10000000e-01 1.37560000e+00 
-8.20000000e-01 1.31040000e+00 
-8.30000000e-01 1.24440000e+00 
-8.40000000e-01 1.17760000e+00 
-8.50000000e-01 1.11000000e+00 
-8.60000000e-01 1.04160000e+00 
-8.70000000e-01 9.72400000e-01 
-8.80000000e-01 9.02400000e-01 
-8.90000000e-01 8.31600000e-01 
-9.00000000e-01 7.60000000e-01 
-9.10000000e-01 6.87600000e-01 
-9.20000000e-01 6.14400000e-01 
-9.30000000e-01 5.40400000e-01 
-9.40000000e-01 4.65600000e-01 
-9.50000000e-01 3.90000000e-01 
-9.60000000e-01 3.13600000e-01 
-9.70000000e-01 2.36400000e-01 
-9.80000000e-01 1.58400000e-01 
-9.90000000e-01 7.96000000e-02 
-1.00000000e+00 1.00000000e-03 
diff --git a/pyproject.toml b/pyproject.toml
index 71b2824e..75caa4d2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -18,6 +18,7 @@ dependencies = [
     "scipy",
     "matplotlib",
     "netCDF4",
+    "freegs",
 ]
 dynamic = ["version"]
 
diff --git a/scotty/Generate_Input7.py b/scotty/Generate_Input7.py
deleted file mode 100644
index c83cafb0..00000000
--- a/scotty/Generate_Input7.py
+++ /dev/null
@@ -1,394 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-Created on Mon Jul 24 14:31:24 2017
-
-@author: Valerian Chen
-
-Notes
-
-- Bear in mind that Te currently uses the same function as ne. Not important for me since I don't care about temperature
-- I've checked (CompareTopfiles) that B_z and B_r does indeed have the correct symmetry
-
-Version history
-
-v3 - Added a function for the generation of density (n_e) profiles.
-     Used this function to make the profiles linear in rho rather than psi
-v4 - Fixed bug with B_z and B_r
-   - Made B_poloidal = B_poloidal max outside the last closed flux surface
-   - Changed the way B_z, B_r, and B_poloidal are written, such that they use
-     for loops. Not elegant, but at least I've made them work.
-   - Cleaned up the transposes and the order part of reshape to be more understandable
-v5 - B_toroidal now has correct units
-v6 - Added two different methods of selecting the launch position
-v7 - Fixed an issue where psi was transposed (shape(psi) = transpose(shape(B))) because meshgrid was using 'xy' by default, instead of ik
-"""
-import numpy as np
-import os
-
-
-def psi_fun(x_value, z_value, major_radius, minor_radius):
-    """Gives the poloidal flux on the grid"""
-    psi = ((x_value - major_radius) ** 2 + (z_value) ** 2) ** 0.5 / minor_radius
-    return psi
-
-
-def B_toroidal_fun(B_toroidal_max, x_array, z_array, major_radius):
-    """Gives the toroidal B field on the grid"""
-    B_toroidal = np.zeros([len(x_array), len(z_array)])
-    for x_index in range(0, len(x_array)):
-        x_value = x_array[x_index]
-        B_toroidal[x_index, :] = B_toroidal_max * major_radius / x_value
-    return B_toroidal
-
-
-def B_poloidal_fun(B_poloidal_max, x_value, z_value, major_radius, minor_radius):
-    """Gives the poloidal B field on the grid
-
-    Magnetic axis assumed to be at
-
-    - x = major_radus
-    - z = 0
-    """
-
-    if ((x_value - major_radius) ** 2 + (z_value) ** 2) ** (0.5) > minor_radius:
-        B_poloidal = B_poloidal_max
-    else:
-        B_poloidal = (
-            B_poloidal_max
-            * ((x_value - major_radius) ** 2 + (z_value) ** 2) ** 0.5
-            / minor_radius
-        )
-    return B_poloidal
-
-
-def B_r_fun(B_poloidal_max, x_array, z_array, major_radius, minor_radius):
-    """Split B_poloidal into r and z components
-
-    Magnetic axis assumed to be at
-
-    - x = major_radus
-    - z = 0
-    """
-    B_r = np.zeros([len(x_array), len(z_array)])
-
-    for x_index in range(0, len(x_array)):
-        for z_index in range(0, len(z_array)):
-            x_value = x_array[x_index]
-            z_value = z_array[z_index]
-            if x_value == major_radius and z_value == 0:
-                B_r[x_index, z_index] == 0
-            else:
-                B_poloidal = B_poloidal_fun(
-                    B_poloidal_max, x_value, z_value, major_radius, minor_radius
-                )
-                B_r[x_index, z_index] = (
-                    B_poloidal
-                    * z_value
-                    * ((x_value - major_radius) ** 2 + z_value**2) ** (-0.5)
-                )
-    return B_r
-
-
-def B_z_fun(B_poloidal_max, x_array, z_array, major_radius, minor_radius):
-    B_z = np.zeros([len(x_array), len(z_array)])
-
-    for x_index in range(0, len(x_array)):
-        for z_index in range(0, len(z_array)):
-            x_value = x_array[x_index]
-            z_value = z_array[z_index]
-            if x_value == major_radius and z_value == 0:
-                B_z[x_index, z_index] == 0
-            else:
-                B_poloidal = B_poloidal_fun(
-                    B_poloidal_max, x_value, z_value, major_radius, minor_radius
-                )
-                B_z[x_index, z_index] = (
-                    B_poloidal
-                    * (x_value - major_radius)
-                    * ((x_value - major_radius) ** 2 + z_value**2) ** (-0.5)
-                )
-    return B_z
-
-
-def write_inbeam(
-    minor_radius,
-    major_radius,
-    toroidal_launch_angle,
-    poloidal_launch_angle,
-    launch_position_x,
-    launch_position_z,
-    tau_step,
-    torbeam_directory_path,
-):
-    # Writes inbeam.dat
-    # Refer to input-output.pdf for more detail
-    # All offsets, flipping of signs, and so on should be done outside this function
-    inbeam_list = []
-    inbeam_list += [" &edata"]
-    inbeam_list += [" nabsroutine = 0"]
-    inbeam_list += [" nastra = 0"]
-    inbeam_list += [" nmaxh = 1"]
-    inbeam_list += [" noout = 0"]
-    inbeam_list += [" xzeff= 1"]
-    inbeam_list += [" ndns = 2"]  # if =1, density profile is analytic
-    inbeam_list += [" nte = 2"]  # if =1, temperature profile is analytic
-    inbeam_list += [" nmod = -1"]  # O-mode (1), X-mode (-1)
-    inbeam_list += [" ianexp = 2"]  # if =1, magnetic equilibrium is analytic
-    inbeam_list += [" nrel = 0"]
-    inbeam_list += [" ncdroutine = 2"]
-    inbeam_list += [" nrela = 0"]
-    inbeam_list += [" xf = 5.5e+10"]  # Launch freq (GHz)
-    inbeam_list += [" xpoldeg = " + str(poloidal_launch_angle)]  # poloidal launch angle
-    inbeam_list += [" xtordeg = " + str(toroidal_launch_angle)]  # toroidal launch angle
-    inbeam_list += [
-        " xxb = " + str(launch_position_x)
-    ]  # x-coordinate of the launch position
-    inbeam_list += [" xyb = 0"]  # y-coordinate of the launch position
-    inbeam_list += [
-        " xzb = " + str(launch_position_z)
-    ]  # z-coordinate of the launch position
-    inbeam_list += [" xdns = 1.02e+14"]
-    inbeam_list += [" edgdns = 1e+13"]
-    inbeam_list += [" xe1 = 2.0"]
-    inbeam_list += [" xe2 = 0.5"]
-    inbeam_list += [" xte0 = 25.0"]
-    inbeam_list += [" xteedg = 1.0"]
-    inbeam_list += [" xe1t = 2.0"]
-    inbeam_list += [" xe2t = 2.0"]
-    inbeam_list += [" xrtol = 1e-07"]  # relative tolerance of the ODE solver
-    inbeam_list += [" xatol = 1e-07"]  # absolute tolerance of the ODE solver
-    inbeam_list += [" xstep = " + str(tau_step)]  # integration step in vacuum (cm)
-    inbeam_list += [" xtbeg = 2.0"]  # obsolete
-    inbeam_list += [" xtend = 2.0"]  # obsolete
-    inbeam_list += [" xryyb = 50"]  # beam radius of curvature (cm)
-    inbeam_list += [" xrzzb = 50"]
-    inbeam_list += [" xwyyb = 5.0"]  # beam width (cm)
-    inbeam_list += [" xwzzb = 5.0"]
-    inbeam_list += [" xpw0 = 1"]  # Initial beam power (MW)
-    inbeam_list += [" xrmaj = " + str(major_radius * 100.0)]
-    inbeam_list += [" xrmin = " + str(minor_radius * 100.0)]
-    inbeam_list += [" xb0 = 2.01254"]  # central toroidal magnetic field [T]
-    inbeam_list += [" xdel0 = 0.0"]
-    inbeam_list += [" xdeled = 0.0"]
-    inbeam_list += [" xelo0 = 1.0"]
-    inbeam_list += [" xeloed = 1.5"]
-    inbeam_list += [" xq0 = 1.0"]
-    inbeam_list += [" xqedg = 4.0"]
-    inbeam_list += [" nshot = 2"]
-    inbeam_list += [" rhostop = 1.2"]
-    inbeam_list += [" ncnstrn = 0"]  # Neal Crocker's constraint
-    # inbeam_list += [' sgnm = 1'] # If 1, poloidal flux is minimum at the magnetic axis
-    inbeam_list += [" /"]
-
-    thefile = open(torbeam_directory_path + "inbeam.dat", "w")
-    for item in inbeam_list:
-        thefile.write("%s\n" % item)
-
-    return
-
-
-def n_e_fun(nedata_psi, core_ne):
-    nedata_length = len(nedata_psi)
-    nedata_ne = np.zeros(nedata_length)
-
-    nedata_ne = core_ne * (1 - nedata_psi**2)
-
-    nedata_ne[-1] = 0.001
-    return nedata_ne
-
-
-def main():
-    # Specify the parameters
-    poloidal_launch_angle = 0.0  # in deg
-    toroidal_launch_angle = 0.0  # in deg
-    launch_position_z_flag = (
-        0  # (0): z=0 (1): z such that beam path has midplane as plane of symmetry
-    )
-    tau_step = 0.05  # was 0.05, making it smaller to speed up runs
-
-    B_toroidal_max = 1.00  # in Tesla (?)
-    B_poloidal_max = 0.0  # in Tesla
-
-    core_ne = 4.0  # in 10^19 m-3 (IDL files, discussion w/ Jon)
-    core_Te = 0.01
-
-    aspect_ratio = 1.5  # major_radius/minor_radius
-    minor_radius = 0.5  # in meters
-
-    torbeam_directory_path = os.path.dirname(os.path.abspath(__file__)) + "\\"
-    # ----------------------
-
-    # Calculates other parameters
-    major_radius = aspect_ratio * minor_radius
-    launch_position_x = (major_radius + minor_radius) * 100 + 20.0
-    # launch_position_z = choose_launch_position_z(major_radius, minor_radius, poloidal_launch_angle, launch_position_x, launch_position_z_flag)
-    launch_position_z = 0
-    # ----------------------
-
-    # Generate ne and Te
-
-    nedata_length = 101
-    Tedata_length = 101
-
-    nedata_psi = np.linspace(0, 1, nedata_length)
-    Tedata_psi = np.linspace(0, 1, Tedata_length)
-
-    nedata_ne = np.linspace(core_ne, 0, nedata_length)
-    Tedata_Te = np.linspace(core_Te, 0, Tedata_length)
-
-    nedata_ne = n_e_fun(nedata_psi, core_ne)
-    Tedata_Te = n_e_fun(Tedata_psi, core_Te)
-
-    nedata_ne[100] = 0.001
-    Tedata_Te[100] = 0.001
-    # --
-
-    # Write ne and Te
-    ne_data_file = open(torbeam_directory_path + "ne.dat", "w")
-    ne_data_file.write(str(int(nedata_length)) + "\n")
-    for ii in range(0, nedata_length):
-        ne_data_file.write("{:.8e} {:.8e} \n".format(nedata_psi[ii], nedata_ne[ii]))
-    ne_data_file.close()
-
-    Te_data_file = open(torbeam_directory_path + "Te.dat", "w")
-    Te_data_file.write(str(int(Tedata_length)) + "\n")
-    for ii in range(0, Tedata_length):
-        Te_data_file.write("{:.8e} {:.8e} \n".format(Tedata_psi[ii], Tedata_Te[ii]))
-    Te_data_file.close()
-    # --
-
-    # Generate topfile variables
-    buffer_factor = 1.1
-    x_grid_length = 130
-    x_grid_start = major_radius - buffer_factor * minor_radius  # in meters
-    x_grid_end = major_radius + buffer_factor * minor_radius
-    z_grid_length = 65  # Make sure this is a multiple of 5
-    z_grid_start = -buffer_factor * minor_radius
-    z_grid_end = buffer_factor * minor_radius
-
-    x_grid = np.linspace(x_grid_start, x_grid_end, x_grid_length)
-    z_grid = np.linspace(z_grid_start, z_grid_end, z_grid_length)
-
-    B_r = np.zeros([x_grid_length, z_grid_length])
-    B_z = np.zeros([x_grid_length, z_grid_length])
-    B_t = np.zeros([x_grid_length, z_grid_length])
-    psi = np.zeros([x_grid_length, z_grid_length])
-
-    x_meshgrid, z_meshgrid = np.meshgrid(x_grid, z_grid, indexing="ij")
-    B_t = B_toroidal_fun(B_toroidal_max, x_grid, z_grid, major_radius)
-    B_r = B_r_fun(B_poloidal_max, x_grid, z_grid, major_radius, minor_radius)
-    B_z = B_z_fun(B_poloidal_max, x_grid, z_grid, major_radius, minor_radius)
-    psi = psi_fun(x_meshgrid, z_meshgrid, major_radius, minor_radius)
-    print(np.shape(psi))
-    print(np.shape(B_r))
-
-    ## Check start
-    # B_r_dataframe = pd.DataFrame(data=B_r, index=z_grid, columns=x_grid)
-    #
-    # plt.figure()
-    # ax = sns.heatmap(B_r_dataframe, xticklabels=13,yticklabels=13, linewidths=0)
-    # plt.xlabel('x / cm') # x-direction
-    # plt.ylabel('z / cm')
-    # ax.invert_yaxis()
-    #
-    # B_z_dataframe = pd.DataFrame(data=B_z, index=z_grid, columns=x_grid)
-    #
-    # plt.figure()
-    # ax = sns.heatmap(B_z_dataframe, xticklabels=13,yticklabels=13, linewidths=0)
-    # plt.xlabel('x / cm') # x-direction
-    # plt.ylabel('z / cm')
-    # ax.invert_yaxis()
-    #
-    # B_poloidal = (B_r**2 + B_z**2) ** (0.5)
-    # B_poloidal_dataframe = pd.DataFrame(data=B_poloidal, index=z_grid, columns=x_grid)
-    #
-    # plt.figure()
-    # ax = sns.heatmap(B_poloidal_dataframe, xticklabels=13,yticklabels=13, linewidths=0)
-    # plt.xlabel('x / cm') # x-direction
-    # plt.ylabel('z / cm')
-    # ax.invert_yaxis()
-    #
-    # B_t_dataframe = pd.DataFrame(data=B_t, index=z_grid, columns=x_grid)
-    #
-    # plt.figure()
-    # ax = sns.heatmap(B_t_dataframe, xticklabels=13,yticklabels=13, linewidths=0)
-    # plt.xlabel('x / cm') # x-direction
-    # plt.ylabel('z / cm')
-    # ax.invert_yaxis()
-    ## Check end
-
-    # To enable writing in Torbeam's format
-    # Reads and writes in C (and python) row col major
-    # Transposes to get it to the correct major for Fortran
-    z_grid = z_grid.reshape(z_grid_length // 5, 5, order="C")
-    B_r = (np.transpose(B_r)).reshape(x_grid_length * z_grid_length // 5, 5, order="C")
-    B_z = (np.transpose(B_z)).reshape(x_grid_length * z_grid_length // 5, 5, order="C")
-    B_t = (np.transpose(B_t)).reshape(x_grid_length * z_grid_length // 5, 5, order="C")
-    psi = (np.transpose(psi)).reshape(x_grid_length * z_grid_length // 5, 5, order="C")
-
-    # Write topfile
-    topfile_file = open(torbeam_directory_path + "topfile", "w")
-
-    topfile_file.write("Dummy line\n")
-    topfile_file.write(str(int(x_grid_length)) + " " + str(int(z_grid_length)) + "\n")
-    topfile_file.write("Dummy line\n")
-    topfile_file.write("0 0 1\n")
-    topfile_file.write("Grid: X-coordinates\n")
-    for ii in range(0, x_grid_length):
-        topfile_file.write("{:.8e}\n".format(x_grid[ii]))
-    topfile_file.write("Grid: Z-coordinates\n")
-    for ii in range(0, z_grid_length // 5):
-        topfile_file.write(
-            "{:.8}   {:.8}   {:.8}   {:.8}   {:.8} \n".format(
-                z_grid[ii, 0],
-                z_grid[ii, 1],
-                z_grid[ii, 2],
-                z_grid[ii, 3],
-                z_grid[ii, 4],
-            )
-        )
-    topfile_file.write("Magnetic field: B_R\n")
-    for ii in range(0, x_grid_length * z_grid_length // 5):
-        topfile_file.write(
-            "{:.8}   {:.8}   {:.8}   {:.8}   {:.8} \n".format(
-                B_r[ii, 0], B_r[ii, 1], B_r[ii, 2], B_r[ii, 3], B_r[ii, 4]
-            )
-        )
-    topfile_file.write("Magnetic field: B_t\n")
-    for ii in range(0, x_grid_length * z_grid_length // 5):
-        topfile_file.write(
-            "{:.8}   {:.8}   {:.8}   {:.8}   {:.8} \n".format(
-                B_t[ii, 0], B_t[ii, 1], B_t[ii, 2], B_t[ii, 3], B_t[ii, 4]
-            )
-        )
-    topfile_file.write("Magnetic field: B_Z\n")
-    for ii in range(0, x_grid_length * z_grid_length // 5):
-        topfile_file.write(
-            "{:.8}   {:.8}   {:.8}   {:.8}   {:.8} \n".format(
-                B_z[ii, 0], B_z[ii, 1], B_z[ii, 2], B_z[ii, 3], B_z[ii, 4]
-            )
-        )
-    topfile_file.write("Poloidal flux: psi\n")
-    for ii in range(0, x_grid_length * z_grid_length // 5):
-        topfile_file.write(
-            "{:.8}   {:.8}   {:.8}   {:.8}   {:.8} \n".format(
-                psi[ii, 0], psi[ii, 1], psi[ii, 2], psi[ii, 3], psi[ii, 4]
-            )
-        )
-
-    topfile_file.close()
-
-    write_inbeam(
-        minor_radius,
-        major_radius,
-        toroidal_launch_angle,
-        poloidal_launch_angle,
-        launch_position_x,
-        launch_position_z,
-        tau_step,
-        torbeam_directory_path,
-    )
-
-
-if __name__ == "__main__":
-    main()
diff --git a/scotty/beam_me_up.py b/scotty/beam_me_up.py
index 68c1bc70..e81a56ee 100644
--- a/scotty/beam_me_up.py
+++ b/scotty/beam_me_up.py
@@ -155,6 +155,8 @@
 # For find_B if using efit files directly
 from scotty.fun_CFD import find_dpolflux_dR, find_dpolflux_dZ
 from scotty.density_fit import density_fit, DensityFitLike
+from scotty.geometry import CircularCrossSection
+from scotty.torbeam import Torbeam
 from scotty._version import __version__
 
 # Checks
@@ -338,70 +340,35 @@ def beam_me_up(
         print("Using Torbeam input files for B and poloidal flux")
         # topfile
         # Others: inbeam.dat, Te.dat (not currently used in this code)
-
         topfile_filename = magnetic_data_path / f"topfile{input_filename_suffix}"
-
-        with open(topfile_filename) as f:
-            while not "X-coordinates" in f.readline():
-                pass  # Start reading only from X-coords onwards
-            data_R_coord = read_floats_into_list_until("Z-coordinates", f)
-            data_Z_coord = read_floats_into_list_until("B_R", f)
-            data_B_R_grid = read_floats_into_list_until("B_t", f)
-            data_B_T_grid = read_floats_into_list_until("B_Z", f)
-            data_B_Z_grid = read_floats_into_list_until("psi", f)
-            poloidalFlux_grid = read_floats_into_list_until("you fall asleep", f)
-        # ------------------------------
-
-        # Converts some lists to arrays so that stuff later doesn't complain
-        data_R_coord = np.array(data_R_coord)
-        data_Z_coord = np.array(data_Z_coord)
-
-        # Row-major and column-major business (Torbeam is in Fortran and Scotty is in Python)
-        data_B_R_grid = np.transpose(
-            (np.asarray(data_B_R_grid)).reshape(
-                len(data_Z_coord), len(data_R_coord), order="C"
-            )
-        )
-        data_B_T_grid = np.transpose(
-            (np.asarray(data_B_T_grid)).reshape(
-                len(data_Z_coord), len(data_R_coord), order="C"
-            )
-        )
-        data_B_Z_grid = np.transpose(
-            (np.asarray(data_B_Z_grid)).reshape(
-                len(data_Z_coord), len(data_R_coord), order="C"
-            )
-        )
-        poloidalFlux_grid = np.transpose(
-            (np.asarray(poloidalFlux_grid)).reshape(
-                len(data_Z_coord), len(data_R_coord), order="C"
-            )
-        )
-        # -------------------
+        torbeam = Torbeam.from_file(topfile_filename)
+        data_R_coord = torbeam.R_grid
+        data_Z_coord = torbeam.Z_grid
+        poloidalFlux_grid = torbeam.psi
 
         # Interpolation functions declared
         interp_B_R = interpolate.RectBivariateSpline(
-            data_R_coord,
-            data_Z_coord,
-            data_B_R_grid,
+            torbeam.R_grid,
+            torbeam.Z_grid,
+            torbeam.B_R,
             bbox=[None, None, None, None],
             kx=interp_order,
             ky=interp_order,
             s=interp_smoothing,
         )
         interp_B_T = interpolate.RectBivariateSpline(
-            data_R_coord,
-            data_Z_coord,
-            data_B_T_grid,
+            torbeam.R_grid,
+            torbeam.Z_grid,
+            torbeam.B_T,
             bbox=[None, None, None, None],
             kx=interp_order,
             ky=interp_order,
             s=interp_smoothing,
         )
         interp_B_Z = interpolate.RectBivariateSpline(
-            data_R_coord,
-            data_Z_coord,
-            data_B_Z_grid,
+            torbeam.R_grid,
+            torbeam.Z_grid,
+            torbeam.B_Z,
             bbox=[None, None, None, None],
             kx=interp_order,
             ky=interp_order,
@@ -409,32 +376,23 @@ def beam_me_up(
         )
 
         def find_B_R(q_R, q_Z):
-            B_R = interp_B_R(q_R, q_Z, grid=False)
-            return B_R
+            return interp_B_R(q_R, q_Z, grid=False)
 
         def find_B_T(q_R, q_Z):
-            B_T = interp_B_T(q_R, q_Z, grid=False)
-            return B_T
+            return interp_B_T(q_R, q_Z, grid=False)
 
         def find_B_Z(q_R, q_Z):
-            B_Z = interp_B_Z(q_R, q_Z, grid=False)
-            return B_Z
+            return interp_B_Z(q_R, q_Z, grid=False)
 
         interp_poloidal_flux = interpolate.RectBivariateSpline(
-            data_R_coord,
-            data_Z_coord,
-            poloidalFlux_grid,
+            torbeam.R_grid,
+            torbeam.Z_grid,
+            torbeam.psi,
             bbox=[None, None, None, None],
             kx=interp_order,
             ky=interp_order,
             s=interp_smoothing,
         )
-        #    interp_poloidal_flux = interpolate.interp2d(data_R_coord, data_Z_coord, np.transpose(poloidalFlux_grid), kind='cubic',
-        #                                           copy=True, bounds_error=False, fill_value=None) # Flux extrapolated outside region
-
-        efit_time = (
-            None  # To prevent the data-saving routines from complaining later on
-        )
 
     elif find_B_method == "omfit":
         topfile_filename = "./topfile.json"
@@ -535,36 +493,13 @@ def find_B_Z(q_R, q_Z):
         # B_p (hence B_R and B_Z) physical when inside the LCFS, have not
         # implemented calculation outside the LCFS
         # To do that, need to make sure B_p = B_p_a outside the LCFS
+        field = CircularCrossSection(B_T_axis, R_axis, minor_radius_a, B_p_a)
+        find_B_R = field.B_R
+        find_B_T = field.B_T
+        find_B_Z = field.B_Z
 
-        def find_B_p(q_R, q_Z, R_axis, minor_radius_a, B_p_a):
-            B_p = B_p_a * (np.sqrt((q_R - R_axis) ** 2 + q_Z**2) / minor_radius_a)
-            return B_p
-
-        def find_B_R(
-            q_R, q_Z, R_axis=R_axis, minor_radius_a=minor_radius_a, B_p_a=B_p_a
-        ):
-            B_p = find_B_p(q_R, q_Z, R_axis, minor_radius_a, B_p_a)
-            B_R = B_p * (q_Z / np.sqrt((q_R - R_axis) ** 2 + q_Z**2))
-            return B_R
-
-        def find_B_T(q_R, q_Z, R_axis=R_axis, B_T_axis=B_T_axis):
-            B_T = B_T_axis * (R_axis / q_R)
-            return B_T
-
-        def find_B_Z(
-            q_R, q_Z, R_axis=R_axis, minor_radius_a=minor_radius_a, B_p_a=B_p_a
-        ):
-            B_p = find_B_p(q_R, q_Z, R_axis, minor_radius_a, B_p_a)
-            B_Z = B_p * ((q_R - R_axis) / np.sqrt((q_R - R_axis) ** 2 + q_Z**2))
-            return B_Z
-
-        def interp_poloidal_flux(
-            q_R, q_Z, R_axis=R_axis, minor_radius_a=minor_radius_a, grid=None
-        ):
-            # keyword 'grid' doesn't do anything; it's a fix to prevent
-            # other routines from complaining
-            polflux = np.sqrt((q_R - R_axis) ** 2 + (q_Z) ** 2) / minor_radius_a
-            return polflux
+        def interp_poloidal_flux(q_R, q_Z, grid=None):
+            return field.poloidal_flux(q_R, q_Z)
 
         # Not strictly necessary, but helpful for visualisation
         data_R_coord = np.linspace(
@@ -572,7 +507,7 @@ def interp_poloidal_flux(
         )
         data_Z_coord = np.linspace(-minor_radius_a, minor_radius_a, 101)
         poloidalFlux_grid = interp_poloidal_flux(
-            *np.meshgrid(data_R_coord, data_Z_coord, sparse=False, indexing="ij")
+            *np.meshgrid(data_R_coord, data_Z_coord, indexing="ij")
         )
 
     elif (find_B_method == "EFITpp") or (find_B_method == "UDA_saved"):
@@ -1332,7 +1267,7 @@ def event_leave_plasma(
         q_R = ray_parameters_2D[0]
         q_Z = ray_parameters_2D[1]
 
-        poloidal_flux = interp_poloidal_flux(q_R, q_Z)
+        poloidal_flux = interp_poloidal_flux(q_R, q_Z, grid=False)
 
         poloidal_flux_difference = poloidal_flux - poloidal_flux_leave
 
@@ -1366,7 +1301,7 @@ def event_leave_LCFS(
         q_R = ray_parameters_2D[0]
         q_Z = ray_parameters_2D[1]
 
-        poloidal_flux = interp_poloidal_flux(q_R, q_Z)
+        poloidal_flux = interp_poloidal_flux(q_R, q_Z, grid=False)
 
         poloidal_flux_difference = poloidal_flux - poloidal_flux_LCFS
 
diff --git a/scotty/check_input.py b/scotty/check_input.py
index c5f777cb..94c30b53 100644
--- a/scotty/check_input.py
+++ b/scotty/check_input.py
@@ -24,11 +24,9 @@
 
 
 def check_mode_flag(mode_flag):
+    """Mode flag should be either -1 (X-mode) or 1 (O-mode)"""
 
     if mode_flag not in [-1, 1]:
-        """
-        Mode flag should be either -1 (X-mode) or 1 (O-mode)
-        """
         raise ValueError(
             f"Bad value for `mode_flag`! Expected either 1 or -1, got '{mode_flag}'"
         )
diff --git a/scotty/check_output.py b/scotty/check_output.py
index 4263bad7..686b28e9 100644
--- a/scotty/check_output.py
+++ b/scotty/check_output.py
@@ -24,20 +24,19 @@
 
 
 def check_H_output(H_output):
+    """H_output should be zero along the entire ray.
+
+    If not close to zero, that means numerical errors are large
+    """
     tol = 1e-2
 
     if max(H_output) > tol:
-        """
-        H_output should be zero along the entire ray
-
-        If not close to zero, that means numerical errors are large
-        """
         raise ValueError(f"`H_output` is too large! `H_output` = '{H_output}'")
 
     return None
 
 
-def check_input(H_output):
+def check_output(H_output):
 
     check_H_output(H_output)
 
diff --git a/scotty/fun_general.py b/scotty/fun_general.py
index 03012f26..7d31a6e1 100644
--- a/scotty/fun_general.py
+++ b/scotty/fun_general.py
@@ -17,13 +17,18 @@
 from scipy import optimize as optimize
 from scipy import integrate as integrate
 import sys
+from typing import TextIO, List
+from numpy.typing import NDArray
 
 
-def read_floats_into_list_until(terminator, lines):
-    # Reads the lines of a file until the string (terminator) is read
-    # Currently used to read topfile
-    # Written by NE Bricknell
-    lst = []
+def read_floats_into_list_until(terminator: str, lines: TextIO) -> NDArray[np.float64]:
+    """Reads the lines of a file until the string (terminator) is read.
+
+    Currently used to read topfile.
+
+    Written by NE Bricknell
+    """
+    lst: List[float] = []
     while True:
         try:
             line = lines.readline()
@@ -34,7 +39,7 @@ def read_floats_into_list_until(terminator, lines):
         elif not line:
             break
         lst.extend(map(float, line.split()))
-    return lst
+    return np.asarray(lst)
 
 
 def find_nearest(array, value):  # returns the index
diff --git a/scotty/geometry.py b/scotty/geometry.py
new file mode 100644
index 00000000..5d48e0d0
--- /dev/null
+++ b/scotty/geometry.py
@@ -0,0 +1,74 @@
+from __future__ import annotations
+import functools
+
+import numpy as np
+
+from numpy.typing import ArrayLike
+
+
+class MagneticGeometry:
+    def B_R(self, q_R: ArrayLike, q_Z: ArrayLike) -> ArrayLike:
+        raise NotImplementedError
+
+    def B_T(self, q_R: ArrayLike, q_Z: ArrayLike) -> ArrayLike:
+        raise NotImplementedError
+
+    def B_Z(self, q_R: ArrayLike, q_Z: ArrayLike) -> ArrayLike:
+        raise NotImplementedError
+
+    def poloidal_flux(self, q_R: ArrayLike, q_Z: ArrayLike) -> ArrayLike:
+        raise NotImplementedError
+
+
+class CircularCrossSection(MagneticGeometry):
+    def __init__(
+        self, B_T_axis: float, R_axis: float, minor_radius_a: float, B_p_a: float
+    ):
+        self.B_T_axis = B_T_axis
+        self.R_axis = R_axis
+        self.minor_radius_a = minor_radius_a
+        self.B_p_a = B_p_a
+
+    def rho(self, q_R: ArrayLike, q_Z: ArrayLike) -> ArrayLike:
+        q_R, q_Z = np.asfarray(q_R), np.asfarray(q_Z)
+        return np.sqrt((q_R - self.R_axis) ** 2 + q_Z**2)
+
+    def B_p(self, q_R: ArrayLike, q_Z: ArrayLike) -> ArrayLike:
+        q_R, q_Z = np.asfarray(q_R), np.asfarray(q_Z)
+        return -self.B_p_a * (self.rho(q_R, q_Z) / self.minor_radius_a)
+
+    def B_R(self, q_R: ArrayLike, q_Z: ArrayLike) -> ArrayLike:
+        q_R, q_Z = np.asfarray(q_R), np.asfarray(q_Z)
+        return self.B_p(q_R, q_Z) * (q_Z / self.rho(q_R, q_Z))
+
+    def B_T(self, q_R: ArrayLike, q_Z: ArrayLike) -> ArrayLike:
+        q_R, q_Z = np.asfarray(q_R), np.asfarray(q_Z)
+        return self.B_T_axis * (self.R_axis / q_R)
+
+    def B_Z(self, q_R: ArrayLike, q_Z: ArrayLike) -> ArrayLike:
+        q_R, q_Z = np.asfarray(q_R), np.asfarray(q_Z)
+        return -self.B_p(q_R, q_Z) * (q_R - self.R_axis) / self.rho(q_R, q_Z)
+
+    def poloidal_flux(self, q_R: ArrayLike, q_Z: ArrayLike) -> ArrayLike:
+        q_R, q_Z = np.asfarray(q_R), np.asfarray(q_Z)
+        return self.rho(q_R, q_Z) / self.minor_radius_a
+
+
+class CurvySlab(MagneticGeometry):
+    """Analytical curvy slab geometry"""
+
+    def __init__(self, B_T_axis: float, R_axis: float):
+        self.B_T_axis = B_T_axis
+        self.R_axis = R_axis
+
+    def B_R(self, q_R: ArrayLike, q_Z: ArrayLike) -> ArrayLike:
+        q_R, q_Z = np.asfarray(q_R), np.asfarray(q_Z)
+        return np.zeros_like(q_R)
+
+    def B_T(self, q_R: ArrayLike, q_Z: ArrayLike) -> ArrayLike:
+        q_R, q_Z = np.asfarray(q_R), np.asfarray(q_Z)
+        return self.B_T_axis * self.R_axis / q_R
+
+    def B_Z(self, q_R: ArrayLike, q_Z: ArrayLike) -> ArrayLike:
+        q_R, q_Z = np.asfarray(q_R), np.asfarray(q_Z)
+        return np.zeros_like(q_R)
diff --git a/scotty/torbeam.py b/scotty/torbeam.py
new file mode 100755
index 00000000..67d7d9fd
--- /dev/null
+++ b/scotty/torbeam.py
@@ -0,0 +1,391 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+"""
+Created on Mon Jul 24 14:31:24 2017
+
+@author: Valerian Chen
+
+Notes
+
+- Bear in mind that Te currently uses the same function as ne. Not important for me since I don't care about temperature
+- I've checked (CompareTopfiles) that B_z and B_r does indeed have the correct symmetry
+
+Version history
+
+v3 - Added a function for the generation of density (n_e) profiles.
+     Used this function to make the profiles linear in rho rather than psi
+v4 - Fixed bug with B_z and B_r
+   - Made B_poloidal = B_poloidal max outside the last closed flux surface
+   - Changed the way B_z, B_r, and B_poloidal are written, such that they use
+     for loops. Not elegant, but at least I've made them work.
+   - Cleaned up the transposes and the order part of reshape to be more understandable
+v5 - B_toroidal now has correct units
+v6 - Added two different methods of selecting the launch position
+v7 - Fixed an issue where psi was transposed (shape(psi) = transpose(shape(B))) because meshgrid was using 'xy' by default, instead of ik
+"""
+from __future__ import annotations
+import argparse
+import pathlib
+
+import numpy as np
+import freegs._fileutils as fortran
+
+from scotty.fun_general import read_floats_into_list_until
+from scotty.geometry import CircularCrossSection
+from scotty.typing import PathLike
+
+
+class Torbeam:
+    """Utility class for reading/writing TORBEAM geometry files
+
+    Arguments
+    ---------
+    R_grid:
+        Major radius grid points in metres
+    Z_grid:
+        Vertical coordinate grid points in metres
+    B_R:
+        Major-radial magnetic field component in Tesla
+    B_T:
+        Toroidal magnetic field component in Tesla
+    B_Z:
+        Vertical magnetic field component in Tesla
+    psi:
+        Poloidal flux
+    """
+
+    def __init__(self, R_grid, Z_grid, B_R, B_T, B_Z, psi):
+        self.R_grid = R_grid
+        self.Z_grid = Z_grid
+        self.B_R = B_R
+        self.B_T = B_T
+        self.B_Z = B_Z
+        self.psi = psi
+
+    @classmethod
+    def from_file(cls, filename: PathLike) -> Torbeam:
+        """Read TORBEAM geometry file"""
+
+        with open(filename) as f:
+            while "X-coordinates" not in f.readline():
+                pass  # Start reading only from X-coords onwards
+            R_grid = read_floats_into_list_until("Z-coordinates", f)
+            Z_grid = read_floats_into_list_until("B_R", f)
+            R_points = len(R_grid)
+            Z_points = len(Z_grid)
+
+            # Row-major and column-major business (Torbeam is in
+            # Fortran and Scotty is in Python)
+            def from_fortran(array):
+                return array.reshape((Z_points, R_points)).transpose()
+
+            B_R = from_fortran(read_floats_into_list_until("B_t", f))
+            B_T = from_fortran(read_floats_into_list_until("B_Z", f))
+            B_Z = from_fortran(read_floats_into_list_until("psi", f))
+            poloidal_flux = from_fortran(
+                read_floats_into_list_until("you fall asleep", f)
+            )
+
+        return cls(R_grid, Z_grid, B_R, B_T, B_Z, poloidal_flux)
+
+    def write(self, filename: PathLike):
+        """Write TORBEAM geometry file"""
+
+        x_grid_length = len(self.R_grid)
+        z_grid_length = len(self.Z_grid)
+
+        with open(filename, "w") as topfile_file:
+            chunks = fortran.ChunkOutput(topfile_file, extraspaces=1)
+
+            topfile_file.write("Dummy line\n")
+            topfile_file.write(f"{x_grid_length} {z_grid_length}\n")
+            topfile_file.write("Dummy line\n")
+            topfile_file.write("0 0 1\n")
+            topfile_file.write("Grid: X-coordinates\n")
+            for ii in range(x_grid_length):
+                topfile_file.write("{:.8e}\n".format(self.R_grid[ii]))
+
+            topfile_file.write("Grid: Z-coordinates\n")
+            fortran.write_1d(self.Z_grid, chunks)
+
+            topfile_file.write("Magnetic field: B_R\n")
+            fortran.write_2d(self.B_R, chunks)
+
+            topfile_file.write("Magnetic field: B_t\n")
+            fortran.write_2d(self.B_T, chunks)
+
+            topfile_file.write("Magnetic field: B_Z\n")
+            fortran.write_2d(self.B_Z, chunks)
+
+            topfile_file.write("Poloidal flux: psi\n")
+            fortran.write_2d(self.psi, chunks)
+
+
+def write_inbeam(
+    minor_radius,
+    major_radius,
+    toroidal_launch_angle,
+    poloidal_launch_angle,
+    launch_position_x,
+    launch_position_z,
+    tau_step,
+    torbeam_directory_path: pathlib.Path,
+):
+    """
+    Writes inbeam.dat
+
+    Refer to input-output.pdf for more detail.
+    All offsets, flipping of signs, and so on should be done outside this function
+    """
+    inbeam_list = {
+        "nabsroutine": 0,
+        "nastra": 0,
+        "nmaxh": 1,
+        "noout": 0,
+        "xzeff": 1,
+        "ndns": 2,  # if =1, density profile is analytic
+        "nte": 2,  # if =1, temperature profile is analytic
+        "nmod": -1,  # O-mode (1), X-mode (-1)
+        "ianexp": 2,  # if =1, magnetic equilibrium is analytic
+        "nrel": 0,
+        "ncdroutine": 2,
+        "nrela": 0,
+        "xf": 5.5e10,  # Launch freq (GHz)
+        "xpoldeg": poloidal_launch_angle,  # poloidal launch angle
+        "xtordeg": toroidal_launch_angle,  # toroidal launch angle
+        "xxb": launch_position_x,  # x-coordinate of the launch position
+        "xyb": 0,  # y-coordinate of the launch position
+        "xzb": launch_position_z,  # z-coordinate of the launch position
+        "xdns": 1.02e14,
+        "edgdns": 1e13,
+        "xe1": 2.0,
+        "xe2": 0.5,
+        "xte0": 25.0,
+        "xteedg": 1.0,
+        "xe1t": 2.0,
+        "xe2t": 2.0,
+        "xrtol": 1e-07,  # relative tolerance of the ODE solver
+        "xatol": 1e-07,  # absolute tolerance of the ODE solver
+        "xstep": tau_step,  # integration step in vacuum (cm)
+        "xtbeg": 2.0,  # obsolete
+        "xtend": 2.0,  # obsolete
+        "xryyb": 50,  # beam radius of curvature (cm)
+        "xrzzb": 50,
+        "xwyyb": 5.0,  # beam width (cm)
+        "xwzzb": 5.0,
+        "xpw0": 1,  # Initial beam power (MW)
+        "xrmaj": major_radius * 100.0,
+        "xrmin": minor_radius * 100.0,
+        "xb0": 2.01254,  # central toroidal magnetic field [T]
+        "xdel0": 0.0,
+        "xdeled": 0.0,
+        "xelo0": 1.0,
+        "xeloed": 1.5,
+        "xq0": 1.0,
+        "xqedg": 4.0,
+        "nshot": 2,
+        "rhostop": 1.2,
+        "ncnstrn": 0,  # Neal Crocker's constraint
+    }
+    # inbeam_list += [' sgnm = 1'] # If 1, poloidal flux is minimum at the magnetic axis
+
+    with open(torbeam_directory_path / "inbeam.dat", "w") as f:
+        f.write("&edata\n")
+        for key, value in inbeam_list.items():
+            f.write(f" {key} = {value}\n")
+        f.write("/")
+
+
+def n_e_fun(nedata_psi, core_ne):
+    nedata_length = len(nedata_psi)
+    nedata_ne = np.zeros(nedata_length)
+
+    nedata_ne = core_ne * (1 - nedata_psi**2)
+
+    nedata_ne[-1] = 0.001
+    return nedata_ne
+
+
+def write_torbeam_file(
+    major_radius: float,
+    minor_radius: float,
+    buffer_factor: float,
+    x_grid_length: int,
+    z_grid_length: int,
+    B_toroidal_max: float,
+    B_poloidal_max: float,
+    torbeam_directory_path: pathlib.Path,
+):
+    """Write a TORBEAM magnetic geometry file based on a circular
+    cross-section equilibrium"""
+
+    x_grid_start = major_radius - buffer_factor * minor_radius
+    x_grid_end = major_radius + buffer_factor * minor_radius
+    z_grid_start = -buffer_factor * minor_radius
+    z_grid_end = buffer_factor * minor_radius
+
+    x_grid = np.linspace(x_grid_start, x_grid_end, x_grid_length)
+    z_grid = np.linspace(z_grid_start, z_grid_end, z_grid_length)
+
+    x_meshgrid, z_meshgrid = np.meshgrid(x_grid, z_grid, indexing="ij")
+    field = CircularCrossSection(
+        B_toroidal_max, major_radius, minor_radius, B_poloidal_max
+    )
+    B_t = field.B_T(x_meshgrid, z_meshgrid)
+    B_r = field.B_R(x_meshgrid, z_meshgrid)
+    B_z = field.B_Z(x_meshgrid, z_meshgrid)
+    psi = field.poloidal_flux(x_meshgrid, z_meshgrid)
+
+    # Write topfile
+    Torbeam(x_grid, z_grid, B_r, B_t, B_z, psi).write(
+        torbeam_directory_path / "topfile"
+    )
+
+
+def main(
+    poloidal_launch_angle: float = 0.0,
+    toroidal_launch_angle: float = 0.0,
+    tau_step: float = 0.05,
+    B_toroidal_max: float = 1.00,
+    B_poloidal_max: float = 0.0,
+    core_ne: float = 4.0,
+    core_Te: float = 0.01,
+    aspect_ratio: float = 1.5,
+    minor_radius: float = 0.5,
+    torbeam_directory_path: PathLike = ".",
+    nedata_length: int = 101,
+    Tedata_length: int = 101,
+    buffer_factor: float = 1.1,
+    x_grid_length: int = 130,
+    z_grid_length: int = 65,
+):
+    """Create TORBEAM input files
+
+    Arguments
+    ---------
+    poloidal_launch_angle:
+        In degrees
+    toroidal_launch_angle:
+        In degrees
+    tau_step:
+        Was 0.05, making it smaller to speed up runs
+    B_toroidal_max:
+        In Tesla
+    B_poloidal_max:
+        In Tesla
+    core_ne:
+        In 10^19 m-3 (IDL files, discussion w/ Jon)
+    core_Te:
+
+    aspect_ratio:
+        major_radius/minor_radius
+    minor_radius:
+        In meters
+    torbeam_directory_path:
+        Directory to save output files, defaults to working directory
+    nedata_length:
+        Number of grid points for density
+    Tedata_length:
+        Number of grid points for temperature
+    buffer_factor:
+        Size of buffer in ``x`` as a factor of ``minor_radius``
+    x_grid_length:
+        Size of ``x`` grid
+    z_grid_length:
+        Size of ``z`` grid (should be a multiple of 5)
+    """
+
+    major_radius = aspect_ratio * minor_radius
+    launch_position_x = (major_radius + minor_radius) * 100 + 20.0
+    launch_position_z = 0
+
+    # Generate ne and Te
+    nedata_psi = np.linspace(0, 1, nedata_length)
+    Tedata_psi = np.linspace(0, 1, Tedata_length)
+
+    nedata_ne = np.linspace(core_ne, 0, nedata_length)
+    Tedata_Te = np.linspace(core_Te, 0, Tedata_length)
+
+    nedata_ne = n_e_fun(nedata_psi, core_ne)
+    Tedata_Te = n_e_fun(Tedata_psi, core_Te)
+
+    nedata_ne[-1] = 0.001
+    Tedata_Te[-1] = 0.001
+
+    # Ensure this is a `pathlib.Path`
+    torbeam_directory_path = pathlib.Path(torbeam_directory_path)
+
+    # Write ne and Te
+    with open(torbeam_directory_path / "ne.dat", "w") as ne_data_file:
+        ne_data_file.write(f"{int(nedata_length)}\n")
+        for ii in range(0, nedata_length):
+            ne_data_file.write("{:.8e} {:.8e} \n".format(nedata_psi[ii], nedata_ne[ii]))
+
+    with open(torbeam_directory_path / "Te.dat", "w") as Te_data_file:
+        Te_data_file.write(f"{int(Tedata_length)}\n")
+        for ii in range(0, Tedata_length):
+            Te_data_file.write("{:.8e} {:.8e} \n".format(Tedata_psi[ii], Tedata_Te[ii]))
+
+    write_torbeam_file(
+        major_radius,
+        minor_radius,
+        buffer_factor,
+        x_grid_length,
+        z_grid_length,
+        B_toroidal_max,
+        B_poloidal_max,
+        torbeam_directory_path,
+    )
+
+    write_inbeam(
+        minor_radius,
+        major_radius,
+        toroidal_launch_angle,
+        poloidal_launch_angle,
+        launch_position_x,
+        launch_position_z,
+        tau_step,
+        torbeam_directory_path,
+    )
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Writes TORBEAM input files")
+    parser.add_argument(
+        "--poloidal_launch_angle", default=0.0, type=float, help="in degrees"
+    )
+    parser.add_argument(
+        "--toroidal_launch_angle", default=0.0, type=float, help="in degrees"
+    )
+    parser.add_argument(
+        "--tau_step",
+        default=0.05,
+        type=float,
+        help="was 0.05, making it smaller to speed up runs",
+    )
+    parser.add_argument(
+        "--B_toroidal_max", default=1.00, type=float, help="in Tesla (?)"
+    )
+    parser.add_argument("--B_poloidal_max", default=0.0, type=float, help="in Tesla")
+    parser.add_argument(
+        "--core_ne",
+        default=4.0,
+        type=float,
+        help="in 10^19 m-3 (IDL files, discussion w/ Jon)",
+    )
+    parser.add_argument("--core_Te", default=0.01)
+    parser.add_argument(
+        "--aspect_ratio", default=1.5, type=float, help="major_radius/minor_radius"
+    )
+    parser.add_argument("--minor_radius", default=0.5, type=float, help="in meters")
+    parser.add_argument("--torbeam_directory_path", default=pathlib.Path("."))
+    parser.add_argument("--nedata_length", default=101, type=int)
+    parser.add_argument("--Tedata_length", default=101, type=int)
+    parser.add_argument("--buffer_factor", default=1.1, type=float)
+    parser.add_argument("--x_grid_length", default=130, type=int)
+    parser.add_argument("--z_grid_length", default=65, type=int)
+
+    args = parser.parse_args()
+
+    main(**vars(args))
diff --git a/topfile b/topfile
deleted file mode 100644
index 47b3268c..00000000
--- a/topfile
+++ /dev/null
@@ -1,6913 +0,0 @@
-Dummy line
-130 65
-Dummy line
-0 0 1
-Grid: X-coordinates
-7.50000000e-01
-7.61627907e-01
-7.73255814e-01
-7.84883721e-01
-7.96511628e-01
-8.08139535e-01
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-8.89534884e-01
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-Grid: Z-coordinates
--0.75   -0.7265625   -0.703125   -0.6796875   -0.65625 
--0.6328125   -0.609375   -0.5859375   -0.5625   -0.5390625 
--0.515625   -0.4921875   -0.46875   -0.4453125   -0.421875 
--0.3984375   -0.375   -0.3515625   -0.328125   -0.3046875 
--0.28125   -0.2578125   -0.234375   -0.2109375   -0.1875 
--0.1640625   -0.140625   -0.1171875   -0.09375   -0.0703125 
--0.046875   -0.0234375   0.0   0.0234375   0.046875 
-0.0703125   0.09375   0.1171875   0.140625   0.1640625 
-0.1875   0.2109375   0.234375   0.2578125   0.28125 
-0.3046875   0.328125   0.3515625   0.375   0.3984375 
-0.421875   0.4453125   0.46875   0.4921875   0.515625 
-0.5390625   0.5625   0.5859375   0.609375   0.6328125 
-0.65625   0.6796875   0.703125   0.7265625   0.75 
-Magnetic field: B_R
--0.0   -0.0   -0.0   -0.0   -0.0 
--0.0   -0.0   -0.0   -0.0   -0.0 
--0.0   -0.0   -0.0   -0.0   -0.0 
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--0.0   -0.0   -0.0   -0.0   -0.0 
--0.0   -0.0   -0.0   -0.0   -0.0 
--0.0   -0.0   -0.0   -0.0   -0.0 
--0.0   -0.0   -0.0   -0.0   -0.0 
--0.0   -0.0   -0.0   -0.0   -0.0 
--0.0   -0.0   -0.0   -0.0   -0.0 
--0.0   -0.0   -0.0   -0.0   -0.0 
--0.0   -0.0   -0.0   -0.0   -0.0 
--0.0   -0.0   -0.0   -0.0   -0.0 
--0.0   -0.0   -0.0   -0.0   -0.0 
--0.0   -0.0   -0.0   -0.0   -0.0 
--0.0   -0.0   -0.0   -0.0   -0.0 
--0.0   -0.0   -0.0   -0.0   -0.0 
--0.0   -0.0   -0.0   -0.0   -0.0 
--0.0   -0.0   -0.0   -0.0   -0.0 
--0.0   -0.0   -0.0   -0.0   -0.0 
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--0.0   -0.0   -0.0   -0.0   -0.0 
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-Magnetic field: B_t
-2.0   1.9694656   1.9398496   1.9111111   1.8832117 
-1.8561151   1.8297872   1.8041958   1.7793103   1.755102 
-1.7315436   1.7086093   1.6862745   1.6645161   1.6433121 
-1.6226415   1.6024845   1.5828221   1.5636364   1.5449102 
-1.5266272   1.5087719   1.4913295   1.4742857   1.4576271 
-1.4413408   1.4254144   1.4098361   1.3945946   1.3796791 
-1.3650794   1.3507853   1.3367876   1.3230769   1.3096447 
-1.2964824   1.2835821   1.270936   1.2585366   1.2463768 
-1.2344498   1.2227488   1.2112676   1.2   1.1889401 
-1.1780822   1.1674208   1.1569507   1.1466667   1.1365639 
-1.1266376   1.1168831   1.1072961   1.0978723   1.0886076 
-1.0794979   1.0705394   1.0617284   1.0530612   1.0445344 
-1.0361446   1.0278884   1.0197628   1.0117647   1.0038911 
-0.996139   0.98850575   0.98098859   0.97358491   0.96629213 
-0.95910781   0.95202952   0.94505495   0.93818182   0.93140794 
-0.92473118   0.91814947   0.91166078   0.90526316   0.8989547 
-0.89273356   0.88659794   0.88054608   0.87457627   0.86868687 
-0.86287625   0.85714286   0.85148515   0.84590164   0.84039088 
-0.83495146   0.82958199   0.82428115   0.81904762   0.81388013 
-0.80877743   0.80373832   0.79876161   0.79384615   0.78899083 
-0.78419453   0.77945619   0.77477477   0.77014925   0.76557864 
-0.76106195   0.75659824   0.75218659   0.74782609   0.74351585 
-0.73925501   0.73504274   0.73087819   0.72676056   0.72268908 
-0.71866295   0.71468144   0.7107438   0.70684932   0.70299728 
-0.69918699   0.69541779   0.69168901   0.688   0.68435013 
-0.68073879   0.67716535   0.67362924   0.67012987   0.66666667 
-2.0   1.9694656   1.9398496   1.9111111   1.8832117 
-1.8561151   1.8297872   1.8041958   1.7793103   1.755102 
-1.7315436   1.7086093   1.6862745   1.6645161   1.6433121 
-1.6226415   1.6024845   1.5828221   1.5636364   1.5449102 
-1.5266272   1.5087719   1.4913295   1.4742857   1.4576271 
-1.4413408   1.4254144   1.4098361   1.3945946   1.3796791 
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-1.2344498   1.2227488   1.2112676   1.2   1.1889401 
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-1.1266376   1.1168831   1.1072961   1.0978723   1.0886076 
-1.0794979   1.0705394   1.0617284   1.0530612   1.0445344 
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-1.2344498   1.2227488   1.2112676   1.2   1.1889401 
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-Poloidal flux: psi
-2.1213203   2.1049402   2.0886906   2.0725745   2.0565951 
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-1.7265763   1.7424783   1.7585441   1.7747692   1.7911492 
-1.80768   1.8243575   1.8411777   1.8581367   1.8752307 
-1.8924561   1.9098094   1.927287   1.9448856   1.962602 
-1.9931523   1.9757099   1.9583883   1.9411907   1.9241205 
-1.9071811   1.890376   1.8737089   1.8571834   1.8408033 
-1.8245726   1.8084953   1.7925755   1.7768175   1.7612255 
-1.7458041   1.7305578   1.7154913   1.7006093   1.6859168 
-1.6714187   1.6571202   1.6430264   1.6291426   1.6154744 
-1.6020271   1.5888064   1.575818   1.5630678   1.5505615 
-1.5383051   1.5263047   1.5145663   1.503096   1.4919001 
-1.4809848   1.4703563   1.4600209   1.4499849   1.4402544 
-1.4308358   1.4217353   1.4129589   1.4045128   1.396403 
-1.3886353   1.3812155   1.3741493   1.3674421   1.3610993 
-1.355126   1.349527   1.344307   1.3394706   1.3350218 
-1.3309645   1.3273023   1.3240386   1.3211762   1.3187177 
-1.3166655   1.3150215   1.3137871   1.3129635   1.3125515 
-1.3125515   1.3129635   1.3137871   1.3150215   1.3166655 
-1.3187177   1.3211762   1.3240386   1.3273023   1.3309645 
-1.3350218   1.3394706   1.344307   1.349527   1.355126 
-1.3610993   1.3674421   1.3741493   1.3812155   1.3886353 
-1.396403   1.4045128   1.4129589   1.4217353   1.4308358 
-1.4402544   1.4499849   1.4600209   1.4703563   1.4809848 
-1.4919001   1.503096   1.5145663   1.5263047   1.5383051 
-1.5505615   1.5630678   1.575818   1.5888064   1.6020271 
-1.6154744   1.6291426   1.6430264   1.6571202   1.6714187 
-1.6859168   1.7006093   1.7154913   1.7305578   1.7458041 
-1.7612255   1.7768175   1.7925755   1.8084953   1.8245726 
-1.8408033   1.8571834   1.8737089   1.890376   1.9071811 
-1.9241205   1.9411907   1.9583883   1.9757099   1.9931523 
-2.0243271   2.0071556   1.9901077   1.9731867   1.9563957 
-1.9397381   1.9232175   1.9068375   1.8906015   1.8745135 
-1.8585772   1.8427966   1.8271757   1.8117186   1.7964296 
-1.781313   1.7663733   1.7516148   1.7370424   1.7226606 
-1.7084744   1.6944885   1.6807081   1.6671382   1.653784 
-1.6406508   1.6277438   1.6150686   1.6026306   1.5904355 
-1.5784887   1.5667961   1.5553633   1.5441962   1.5333004 
-1.5226819   1.5123465   1.5023   1.4925483   1.4830971 
-1.4739523   1.4651196   1.4566046   1.4484131   1.4405504 
-1.433022   1.4258332   1.4189892   1.412495   1.4063554 
-1.4005751   1.3951585   1.3901099   1.3854333   1.3811326 
-1.3772112   1.3736723   1.370519   1.3677538   1.3653793 
-1.3633973   1.3618097   1.3606177   1.3598225   1.3594247 
-1.3594247   1.3598225   1.3606177   1.3618097   1.3633973 
-1.3653793   1.3677538   1.370519   1.3736723   1.3772112 
-1.3811326   1.3854333   1.3901099   1.3951585   1.4005751 
-1.4063554   1.412495   1.4189892   1.4258332   1.433022 
-1.4405504   1.4484131   1.4566046   1.4651196   1.4739523 
-1.4830971   1.4925483   1.5023   1.5123465   1.5226819 
-1.5333004   1.5441962   1.5553633   1.5667961   1.5784887 
-1.5904355   1.6026306   1.6150686   1.6277438   1.6406508 
-1.653784   1.6671382   1.6807081   1.6944885   1.7084744 
-1.7226606   1.7370424   1.7516148   1.7663733   1.781313 
-1.7964296   1.8117186   1.8271757   1.8427966   1.8585772 
-1.8745135   1.8906015   1.9068375   1.9232175   1.9397381 
-1.9563957   1.9731867   1.9901077   2.0071556   2.0243271 
-2.056098   2.0391941   2.0224163   2.0057677   1.9892518 
-1.9728717   1.9566309   1.9405329   1.9245812   1.9087796 
-1.8931318   1.8776416   1.862313   1.84715   1.8321567 
-1.8173373   1.8026961   1.7882375   1.7739659   1.7598859 
-1.7460021   1.7323193   1.7188422   1.7055757   1.6925248 
-1.6796945   1.6670899   1.6547161   1.6425784   1.630682 
-1.6190322   1.6076345   1.5964942   1.5856168   1.5750076 
-1.5646721   1.5546159   1.5448443   1.5353628   1.5261768 
-1.5172917   1.5087127   1.5004452   1.4924942   1.484865 
-1.4775624   1.4705914   1.4639567   1.4576628   1.4517142 
-1.4461152   1.4408698   1.435982   1.4314553   1.4272932 
-1.4234989   1.4200754   1.4170254   1.4143512   1.412055 
-1.4101386   1.4086037   1.4074513   1.4066826   1.4062981 
-1.4062981   1.4066826   1.4074513   1.4086037   1.4101386 
-1.412055   1.4143512   1.4170254   1.4200754   1.4234989 
-1.4272932   1.4314553   1.435982   1.4408698   1.4461152 
-1.4517142   1.4576628   1.4639567   1.4705914   1.4775624 
-1.484865   1.4924942   1.5004452   1.5087127   1.5172917 
-1.5261768   1.5353628   1.5448443   1.5546159   1.5646721 
-1.5750076   1.5856168   1.5964942   1.6076345   1.6190322 
-1.630682   1.6425784   1.6547161   1.6670899   1.6796945 
-1.6925248   1.7055757   1.7188422   1.7323193   1.7460021 
-1.7598859   1.7739659   1.7882375   1.8026961   1.8173373 
-1.8321567   1.84715   1.862313   1.8776416   1.8931318 
-1.9087796   1.9245812   1.9405329   1.9566309   1.9728717 
-1.9892518   2.0057677   2.0224163   2.0391941   2.056098 
-2.0884378   2.0717977   2.055286   2.0389059   2.0226606 
-2.0065532   1.9905872   1.9747661   1.9590932   1.9435722 
-1.9282067   1.9130006   1.8979576   1.8830816   1.8683767 
-1.8538468   1.8394962   1.8253291   1.8113498   1.7975627 
-1.7839721   1.7705828   1.7573991   1.7444259   1.7316678 
-1.7191297   1.7068163   1.6947326   1.6828835   1.671274 
-1.6599092   1.6487941   1.6379338   1.6273333   1.6169979 
-1.6069325   1.5971424   1.5876326   1.5784081   1.5694741 
-1.5608354   1.5524971   1.544464   1.5367408   1.5293323 
-1.5222431   1.5154776   1.5090402   1.5029351   1.4971664 
-1.491738   1.4866536   1.4819168   1.4775309   1.4734989 
-1.4698239   1.4665086   1.4635553   1.4609663   1.4587435 
-1.4568885   1.4554029   1.4542876   1.4535436   1.4531715 
-1.4531715   1.4535436   1.4542876   1.4554029   1.4568885 
-1.4587435   1.4609663   1.4635553   1.4665086   1.4698239 
-1.4734989   1.4775309   1.4819168   1.4866536   1.491738 
-1.4971664   1.5029351   1.5090402   1.5154776   1.5222431 
-1.5293323   1.5367408   1.544464   1.5524971   1.5608354 
-1.5694741   1.5784081   1.5876326   1.5971424   1.6069325 
-1.6169979   1.6273333   1.6379338   1.6487941   1.6599092 
-1.671274   1.6828835   1.6947326   1.7068163   1.7191297 
-1.7316678   1.7444259   1.7573991   1.7705828   1.7839721 
-1.7975627   1.8113498   1.8253291   1.8394962   1.8538468 
-1.8683767   1.8830816   1.8979576   1.9130006   1.9282067 
-1.9435722   1.9590932   1.9747661   1.9905872   2.0065532 
-2.0226606   2.0389059   2.055286   2.0717977   2.0884378 
-2.1213203   2.1049402   2.0886906   2.0725745   2.0565951 
-2.0407556   2.0250593   2.0095096   1.9941098   1.9788634 
-1.9637741   1.9488455   1.9340813   1.9194854   1.9050614 
-1.8908135   1.8767456   1.8628618   1.8491663   1.8356632 
-1.8223568   1.8092515   1.7963517   1.7836618   1.7711864 
-1.7589299   1.7468971   1.7350926   1.723521   1.7121871 
-1.7010956   1.6902514   1.6796591   1.6693236   1.6592498 
-1.6494423   1.6399059   1.6306455   1.6216658   1.6129714 
-1.6045669   1.596457   1.5886462   1.5811388   1.5739393 
-1.5670519   1.5604807   1.5542297   1.5483029   1.5427038 
-1.5374362   1.5325034   1.5279087   1.5236552   1.5197456 
-1.5161828   1.512969   1.5101066   1.5075975   1.5054435 
-1.5036462   1.5022068   1.5011263   1.5004056   1.5000451 
-1.5000451   1.5004056   1.5011263   1.5022068   1.5036462 
-1.5054435   1.5075975   1.5101066   1.512969   1.5161828 
-1.5197456   1.5236552   1.5279087   1.5325034   1.5374362 
-1.5427038   1.5483029   1.5542297   1.5604807   1.5670519 
-1.5739393   1.5811388   1.5886462   1.596457   1.6045669 
-1.6129714   1.6216658   1.6306455   1.6399059   1.6494423 
-1.6592498   1.6693236   1.6796591   1.6902514   1.7010956 
-1.7121871   1.723521   1.7350926   1.7468971   1.7589299 
-1.7711864   1.7836618   1.7963517   1.8092515   1.8223568 
-1.8356632   1.8491663   1.8628618   1.8767456   1.8908135 
-1.9050614   1.9194854   1.9340813   1.9488455   1.9637741 
-1.9788634   1.9941098   2.0095096   2.0250593   2.0407556 
-2.0565951   2.0725745   2.0886906   2.1049402   2.1213203 


Test patch:
diff --git a/tests/test_fun_general.py b/tests/test_fun_general.py
index 2352b25a..5edf7758 100644
--- a/tests/test_fun_general.py
+++ b/tests/test_fun_general.py
@@ -1,7 +1,15 @@
-from scotty.fun_general import freq_GHz_to_wavenumber, find_nearest
+from scotty.fun_general import (
+    freq_GHz_to_wavenumber,
+    find_nearest,
+    read_floats_into_list_until,
+)
+
+import io
+from textwrap import dedent
 
 from scipy.constants import c as speed_of_light
 import numpy as np
+import numpy.testing as npt
 
 
 def test_freq_GHz_to_wavenumber():
@@ -14,3 +22,42 @@ def test_find_nearest():
     assert find_nearest(data, 6.5) == 3
     assert find_nearest(data, 0.5) == 0
     assert find_nearest(data, 10) == 4
+
+
+def test_read_floats_into_list():
+    data = io.StringIO(
+        dedent(
+            """
+            5.00000000e-01
+            1.00000000e+00
+            1.50000000e+00
+            Grid: Z-coordinates
+            -0.55   -0.42777778   -0.30555556   -0.18333333   -0.061111111
+            0.061111111   0.18333333   0.30555556   0.42777778   0.55
+            Magnetic field: B_R
+            1 2 3 4
+            """
+        )
+    )
+    x_coords = read_floats_into_list_until("Z-coordinates", data)
+    z_coords = read_floats_into_list_until("B_R", data)
+    B_r = read_floats_into_list_until("not in file", data)
+
+    expected_x = [0.5, 1.0, 1.5]
+    expected_z = [
+        -0.55,
+        -0.42777778,
+        -0.30555556,
+        -0.18333333,
+        -0.061111111,
+        0.061111111,
+        0.18333333,
+        0.30555556,
+        0.42777778,
+        0.55,
+    ]
+    expected_B_r = [1, 2, 3, 4]
+
+    npt.assert_allclose(x_coords, expected_x)
+    npt.assert_allclose(z_coords, expected_z)
+    npt.assert_allclose(B_r, expected_B_r)
diff --git a/tests/test_geometry.py b/tests/test_geometry.py
new file mode 100644
index 00000000..b17379b7
--- /dev/null
+++ b/tests/test_geometry.py
@@ -0,0 +1,34 @@
+from scotty import geometry
+
+import numpy as np
+import numpy.testing as npt
+
+
+def test_circular():
+    B_T_axis = 1.0
+    R_axis = 2.0
+    minor_radius_a = 1.0
+    B_p_a = 0.5
+    field = geometry.CircularCrossSection(
+        B_T_axis=B_T_axis, R_axis=R_axis, minor_radius_a=minor_radius_a, B_p_a=B_p_a
+    )
+
+    assert np.isclose(field.B_T(R_axis, 0.0), B_T_axis), "B_T on axis, scalar"
+    npt.assert_allclose(
+        field.B_T([R_axis, R_axis], [-1, 1]), [B_T_axis, B_T_axis]
+    ), "B_T, array"
+
+    R = np.linspace(R_axis - minor_radius_a, R_axis + minor_radius_a, 10)
+    Z = np.linspace(-minor_radius_a / 2, minor_radius_a / 2, 10)
+    R_grid, Z_grid = np.meshgrid(R, Z, indexing="ij")
+    B_R = field.B_R(R_grid, Z_grid)
+    B_Z = field.B_Z(R_grid, Z_grid)
+    calculated_B_poloidal = -np.sqrt(B_R**2 + B_Z**2)
+    npt.assert_allclose(calculated_B_poloidal, field.B_p(R_grid, Z_grid))
+
+    # Check that poloidal field rotates in the correct direction
+    total_sign = np.sign(B_R) * np.sign(B_Z)
+    assert total_sign[0, 0] == -1, "Top left"
+    assert total_sign[0, -1] == 1, "Top right"
+    assert total_sign[-1, 0] == 1, "Bottom left"
+    assert total_sign[-1, -1] == -1, "Bottom right"
diff --git a/tests/test_simple_golden.py b/tests/test_simple_golden.py
index 859580ff..9ce50cd2 100644
--- a/tests/test_simple_golden.py
+++ b/tests/test_simple_golden.py
@@ -1,67 +1,213 @@
 from scotty.beam_me_up import beam_me_up
 from scotty.init_bruv import get_parameters_for_Scotty
+from scotty.torbeam import write_torbeam_file
 
 import numpy as np
 from numpy.testing import assert_allclose
+import pytest
 
 
-TAU_EXPECTED = np.array(
+CUTOFF_INDEX = 5
+
+PSI_START_EXPECTED = np.array(
     [
-        0.0,
-        62.69833027,
-        125.39666054,
-        188.09499082,
-        250.79332109,
-        282.12565681,
-        313.49165136,
-        376.18998163,
-        438.8883119,
-        501.58664217,
+        [
+            -2.47359641e03 + 1.19557798e01j,
+            1.40800267e-02 + 1.44252978e-02j,
+            3.40526964e02 - 1.13752564e02j,
+        ],
+        [
+            1.40800267e-02 + 1.44252978e-02j,
+            4.24589207e03 + 4.35001002e03j,
+            -2.22523411e-03 - 2.27980139e-03j,
+        ],
+        [
+            3.40526964e02 - 1.13752564e02j,
+            -2.22523411e-03 - 2.27980139e-03j,
+            4.25775858e02 + 1.08229209e03j,
+        ],
     ]
 )
-B_EXPECTED = np.array(
+PSI_CUTOFF_EXPECTED = np.array(
     [
-        0.75893835,
-        0.79481524,
-        0.82660747,
-        0.85400248,
-        0.87701708,
-        0.88693792,
-        0.89586574,
-        0.91087338,
-        0.92241292,
-        0.93088217,
+        [
+            -3415.6309789 + 435.2610082j,
+            93.82701509 + 44.60665203j,
+            491.12733009 - 402.19521605j,
+        ],
+        [
+            93.82701509 + 44.60665203j,
+            3949.71530077 + 2687.84876321j,
+            58.35671659 + 57.58346865j,
+        ],
+        [
+            491.12733009 - 402.19521605j,
+            58.35671659 + 57.58346865j,
+            2064.03965809 + 377.61804618j,
+        ],
+    ]
+)
+PSI_FINAL_EXPECTED = np.array(
+    [
+        [
+            -1610.67883254 + 1.27655263e04j,
+            -49.98203756 + 3.42882509e01j,
+            -553.16605173 - 1.41526821e03j,
+        ],
+        [
+            -49.98203756 + 3.42882509e01j,
+            3549.99540711 + 1.91633120e03j,
+            32.60030345 + 1.07767585e01j,
+        ],
+        [
+            -553.16605173 - 1.41526821e03j,
+            32.60030345 + 1.07767585e01j,
+            2466.57382678 + 1.57149892e02j,
+        ],
     ]
 )
 
+EXPECTED = {
+    "q_R_array": np.array(
+        [
+            1.99382564,
+            1.89728654,
+            1.82082333,
+            1.76059051,
+            1.71360145,
+            1.69429565,
+            1.67748372,
+            1.65044156,
+            1.63108651,
+            1.61840018,
+        ]
+    ),
+    "q_Z_array": np.array(
+        [
+            -0.07804514,
+            -0.09140912,
+            -0.10936584,
+            -0.13290859,
+            -0.16326418,
+            -0.18147609,
+            -0.20197093,
+            -0.25095695,
+            -0.31266471,
+            -0.39018781,
+        ]
+    ),
+    "q_zeta_array": np.array(
+        [
+            0.0,
+            0.00035299,
+            0.00123228,
+            0.00243089,
+            0.00380219,
+            0.00451398,
+            0.00522458,
+            0.00659428,
+            0.00779435,
+            0.00867671,
+        ]
+    ),
+    "K_R_array": np.array(
+        [
+            -1146.40007,
+            -909.51030079,
+            -718.39083261,
+            -563.41926333,
+            -436.88422749,
+            -382.19530218,
+            -332.38822093,
+            -244.73125986,
+            -169.47574434,
+            -102.83201513,
+        ]
+    ),
+    "K_Z_array": np.array(
+        [
+            -120.49150267,
+            -165.70906882,
+            -219.43741364,
+            -284.25967555,
+            -363.43816465,
+            -409.66390866,
+            -460.98220458,
+            -581.7805972,
+            -731.89716718,
+            -918.89504231,
+        ]
+    ),
+    "K_zeta_initial": np.array(-0.0),
+    "tau_array": np.array(
+        [
+            0.0,
+            62.647098,
+            125.294195,
+            187.941293,
+            250.58839,
+            281.93231,
+            313.235488,
+            375.882585,
+            438.529683,
+            501.176781,
+        ]
+    ),
+    "B_magnitude": np.array(
+        [
+            0.758938,
+            0.794796,
+            0.82659,
+            0.85399,
+            0.877001,
+            0.886924,
+            0.895815,
+            0.910728,
+            0.922128,
+            0.930421,
+        ]
+    ),
+    "normalised_gyro_freqs": np.array(
+        [
+            0.38626498,
+            0.40451481,
+            0.4206954,
+            0.4346436,
+            0.44635263,
+            0.4514013,
+            0.45592739,
+            0.46351986,
+            0.46932146,
+            0.47354238,
+        ]
+    ),
+    "normalised_plasma_freqs": np.array(
+        [
+            0.01388158,
+            0.59779342,
+            0.75902333,
+            0.83733011,
+            0.87051483,
+            0.87441588,
+            0.87048555,
+            0.8372284,
+            0.75887052,
+            0.59753335,
+        ]
+    ),
+}
 
-def test_simple_check(tmp_path):
-    """This does a really simple golden answer test to check basic functionality"""
-
-    kwargs_dict = get_parameters_for_Scotty("DBS_synthetic")
-    kwargs_dict["B_p_a"] = 0.10
-    kwargs_dict["output_filename_suffix"] = "_Bpa0.10"
-    kwargs_dict["output_path"] = str(tmp_path) + "/"
-    kwargs_dict["figure_flag"] = False
-    kwargs_dict["len_tau"] = 10
-
-    beam_me_up(**kwargs_dict)
-
-    assert len(list(tmp_path.glob("*.npz"))) == 4
-
-    with np.load(tmp_path / "data_output_Bpa0.10.npz") as f:
-        output = dict(f)
-
-    assert_allclose(output["tau_array"], TAU_EXPECTED, rtol=1e-5)
-    assert_allclose(output["B_magnitude"], B_EXPECTED, rtol=1e-5)
 
+def simple(path):
+    """Built-in synthetic diagnostic"""
+    return get_parameters_for_Scotty("DBS_synthetic")
 
-def test_simple_check_density_fit_file(tmp_path):
-    """Similar to the simple check, but the density fit is from file instead"""
 
+def ne_dat_file(path):
+    """Density fit using TORBEAM file"""
     kwargs_dict = get_parameters_for_Scotty("DBS_synthetic")
 
-    ne_filename = tmp_path / "ne.dat"
+    ne_filename = path / "ne.dat"
     rho = np.linspace(0, 1)
     density_fit = kwargs_dict["density_fit_method"]
     density = density_fit(rho**2)
@@ -70,14 +216,50 @@ def test_simple_check_density_fit_file(tmp_path):
         f.write(f"{len(rho)}\n")
         np.savetxt(f, np.column_stack((rho, density)), fmt="%.7e")
 
+    kwargs_dict["density_fit_parameters"] = None
+    kwargs_dict["density_fit_method"] = "smoothing-spline-file"
+    kwargs_dict["ne_data_path"] = path
+    return kwargs_dict
+
+
+def torbeam_file(path):
+    """Geometry using TORBEAM file"""
+    kwargs_dict = get_parameters_for_Scotty("DBS_synthetic")
+
+    write_torbeam_file(
+        major_radius=kwargs_dict["R_axis"],
+        minor_radius=kwargs_dict["minor_radius_a"],
+        B_toroidal_max=kwargs_dict["B_T_axis"],
+        B_poloidal_max=kwargs_dict["B_p_a"],
+        buffer_factor=1.1,
+        x_grid_length=100,
+        z_grid_length=100,
+        torbeam_directory_path=path,
+    )
+
+    kwargs_dict["find_B_method"] = "torbeam"
+    kwargs_dict["magnetic_data_path"] = path
+    return kwargs_dict
+
+
+@pytest.mark.parametrize(
+    "generator",
+    [
+        pytest.param(simple, id="simple"),
+        pytest.param(ne_dat_file, id="density-fit-file"),
+        pytest.param(torbeam_file, id="torbeam-file"),
+    ],
+)
+def test_integrated(tmp_path, generator):
+    """Golden answer test to check basic functionality using circular
+    flux surfaces."""
+
+    kwargs_dict = generator(tmp_path)
     kwargs_dict["B_p_a"] = 0.10
     kwargs_dict["output_filename_suffix"] = "_Bpa0.10"
-    kwargs_dict["output_path"] = str(tmp_path) + "/"
     kwargs_dict["figure_flag"] = False
     kwargs_dict["len_tau"] = 10
-    kwargs_dict["density_fit_parameters"] = None
-    kwargs_dict["density_fit_method"] = "smoothing-spline-file"
-    kwargs_dict["ne_data_path"] = tmp_path
+    kwargs_dict["output_path"] = tmp_path
 
     beam_me_up(**kwargs_dict)
 
@@ -86,5 +268,16 @@ def test_simple_check_density_fit_file(tmp_path):
     with np.load(tmp_path / "data_output_Bpa0.10.npz") as f:
         output = dict(f)
 
-    assert_allclose(output["tau_array"], TAU_EXPECTED, rtol=1e-5)
-    assert_allclose(output["B_magnitude"], B_EXPECTED, rtol=1e-5)
+    for key, value in EXPECTED.items():
+        assert_allclose(output[key], value, rtol=1e-2, err_msg=key)
+
+    K_magnitude = np.hypot(output["K_R_array"], output["K_Z_array"])
+    assert K_magnitude.argmin() == CUTOFF_INDEX
+
+    assert_allclose(output["Psi_3D_output"][0, ...], PSI_START_EXPECTED, rtol=1e-2)
+    assert_allclose(
+        output["Psi_3D_output"][CUTOFF_INDEX, ...], PSI_CUTOFF_EXPECTED, rtol=1e-2
+    )
+    # Slightly larger tolerance here, likely due to floating-point
+    # precision of file-based input
+    assert_allclose(output["Psi_3D_output"][-1, ...], PSI_FINAL_EXPECTED, rtol=1.5e-2)
diff --git a/tests/test_torbeam.py b/tests/test_torbeam.py
new file mode 100644
index 00000000..3fdd0b32
--- /dev/null
+++ b/tests/test_torbeam.py
@@ -0,0 +1,28 @@
+from scotty.torbeam import Torbeam
+
+import numpy as np
+import numpy.testing as npt
+
+
+def test_torbeam_roundtrip(tmp_path):
+    R_grid = np.linspace(0.1, 1)
+    Z_grid = np.linspace(-1, 1)
+    R_meshgrid, Z_meshgrid = np.meshgrid(R_grid, Z_grid, indexing="ij")
+    B_r = R_meshgrid
+    B_t = 1 / R_meshgrid
+    B_z = Z_meshgrid
+    psi = np.sqrt(R_meshgrid**2 + Z_meshgrid**2)
+
+    torbeam = Torbeam(R_grid, Z_grid, B_r, B_t, B_z, psi)
+
+    filename = tmp_path / "topfile"
+    torbeam.write(filename)
+
+    torbeam2 = Torbeam.from_file(filename)
+
+    npt.assert_allclose(torbeam.R_grid, torbeam2.R_grid)
+    npt.assert_allclose(torbeam.Z_grid, torbeam2.Z_grid)
+    npt.assert_allclose(torbeam.B_R, torbeam2.B_R)
+    npt.assert_allclose(torbeam.B_T, torbeam2.B_T)
+    npt.assert_allclose(torbeam.B_Z, torbeam2.B_Z)
+    npt.assert_allclose(torbeam.psi, torbeam2.psi)