cherab interface: Calculate heat fluxes to walls #308
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`xbout.wall.AxisymmetricWall` represents an axisymmetric wall
`xbout.wall.read_geqdsk` reads a GEQDSK file, returning an AxisymmetricWall
`xbout.cherab.triangulate.TriangularData.wall_flux`
takes an AxisymmetricWall and calculates heat fluxes to each element.
So to calculate heat fluxes:
```
wall = xbout.wall.read_geqdsk("geqdsk")
ds = ds.bout.with_cherab_grid()
da = -bd['Rd+_ex'].isel(t=1, zeta=0)
da[:2,:] = 0.0
da[-2:,:] = 0.0
data = da.bout.as_cherab_data()
result = data.wall_flux(cat_wall, pixel_samples=1000)
```
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Hello @bendudson! Thanks for updating this PR. We checked the lines you've touched for PEP 8 issues, and found:
Comment last updated at 2024-12-11 06:37:51 UTC |
TomNicholas
reviewed
Dec 11, 2024
| """ | ||
| return np.stack((self.Rs, self.Zs), axis=-1) | ||
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| def plot(self, linestyle="k-", ax=None): |
Collaborator
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FYI I think plotting the wall onto the plasma is analogous to plotting features like coastlines using cartopy onto the earth.
There might be useful inspiration from how cartopy interacts with matplotlib, especially if you want to set up presets for a small number of possible wall shapes (there are only so many tokamaks in the world).
Fixes issue #313. Thanks @johnomotani!
Checks for presence of "rlim" and "zlim" keys.
Subdivides wall segments into smaller pieces.
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xbout.wall.AxisymmetricWallrepresents an axisymmetric wallxbout.wall.read_geqdskreads a GEQDSK file, returning an AxisymmetricWallxbout.cherab.triangulate.TriangularData.wall_fluxtakes an AxisymmetricWall and calculates heat fluxes to each element.So to calculate heat fluxes: