deployable app

playground.py

@@ -0,0 +1,50 @@
+from collections import namedtuple
+import itertools
+from scipy.optimize import root
+
+Args = namedtuple("Args", ["alpha", "w", "Te"])
+
+ARG1 = Args(0.04, 0.00409, 5_000)
+ARG2 = Args(0.032, 0.00537, 10_000)
+ARG3 = Args(0.023, 0.00873, 40_000)
+
+
+def L_stark(Ne: float, alpha: float, w: float, Te: float) -> float:
+    """computes stark broadening
+
+    Parameters
+    ----------
+    Ne : float
+        free electron density in 1e15 / cm^3
+    alpha : float
+        static ion-broadening parameter
+    w : float
+        electron impact parameter in nm/1e16/cm^3
+    Te : float
+        electron temperature in K
+
+    Returns
+    -------
+    float
+        Stark broadening in nm
+    """
+    Ne = 1e15 * Ne
+    return (
+        2e-16
+        * (1 + 1.75e-4 * (Ne ** 0.25) * alpha * (1 - 0.068 * (Te ** -0.5) * (Ne ** (1 / 6))))
+        * w
+        * Ne
+    )
+
+
+def main():
+    for ls, args in itertools.product([0.001, 0.003, 0.009], [ARG1, ARG2, ARG3]):
+
+        def to_root(Ne):
+            return L_stark(Ne, *args) - ls
+
+        print(ls, args.Te, root(to_root, 1.0).x)
+
+
+if __name__ == "__main__":
+    main()