Update test_STC.py

tests/test_STC.py

@@ -2,7 +2,7 @@
 
 Test checks the implementation of the initialization and diagnostics to spatio-temporal coupling gaussian lasers
 by creating a gaussian pulse on focus and calculate the STC factors by the implemented functions in laser.utils.
-The correctness is also checked through comparing the gaussian profile and a combined gaussian profile off-focus.
+The correctness is also checked through comparing the gaussian profile and a combined gaussian profile out of focus.
 """
 
 import numpy as np
@@ -27,8 +27,9 @@
 stc_theta = scc.pi / 2  # rad
 z_r = (np.pi * w0**2) / wavelength
 z_foc = 3 * z_r
+
 # Create STC profile.
-profile = GaussianProfile(
+STCprofile = GaussianProfile(
     wavelength=wavelength,
     pol=pol,
     laser_energy=laser_energy,
@@ -47,17 +48,18 @@
     lo=(-10e-6, -10e-6, -10e-14),
     hi=(10e-6, 10e-6, +10e-14),
     npoints=(100, 100, 200),
-    profile=profile,
+    profile=STCprofile,
 )
 
-# Create laser with given profile in `rt` geometry.
+# Create laser out of focus with given profile in `rt` geometry by combined and gaussian profile.
 long_profile = GaussianLongitudinalProfile(wavelength, tau, t_peak)
 trans_profile = GaussianTransverseProfile(w0, wavelength, z_foc)
+
 combined_profile = CombinedLongitudinalTransverseProfile(
     wavelength, pol, laser_energy, long_profile, trans_profile
 )
 
-profile_gaussian = GaussianProfile(
+gaussian_profile = GaussianProfile(
     wavelength=wavelength,
     pol=pol,
     laser_energy=laser_energy,
@@ -80,9 +82,10 @@
     lo=(0e-6, -10e-14),
     hi=(50e-6, +10e-14),
     npoints=(60, 200),
-    profile=profile_gaussian,
+    profile=gaussian_profile,
 )
 
+# calculate the error of gaussian profile
 env_combined = laser_2d_combined.grid.get_temporal_field()
 env_gaussian = laser_2d_gaussian.grid.get_temporal_field()
 
@@ -96,11 +99,11 @@
 )
 
 Phi2_3d, phi2_3d = get_phi2(laser_3d.dim, laser_3d.grid)
-
 [zeta_x, zeta_y], [nu_x, nu_y] = get_zeta(
     laser_3d.dim, laser_3d.grid, 2.0 * np.pi / 0.6e-6
 )
 [beta_x, beta_y] = get_beta(laser_3d.dim, laser_3d.grid, 2.0 * np.pi / 0.6e-6)
+
 assert (err_real + err_imag) < 1e-6
 np.testing.assert_approx_equal(phi2_3d, 2.4e-24, significant=2)
 np.testing.assert_approx_equal(zeta_y, 2.4e-22, significant=2)