mcalf.profiles.voigt.double_voigt_nobg(x, a1, b1, s1, g1, a2, b2, s2, g2, clib=True)[source]

Double Voigt function with no background.

  • x (numpy.ndarray) – Wavelengths to evaluate Voigt function at.

  • a1 (float) – Amplitude of 1st Voigt function.

  • b1 (float) – Central line core of 1st Voigt function.

  • s1 (float) – Sigma (for Gaussian) of 1st Voigt function.

  • g1 (float) – Gamma (for Lorentzian) of 1st Voigt function.

  • a2 (float) – Amplitude of 2nd Voigt function.

  • b2 (float) – Central line core of 2nd Voigt function.

  • s2 (float) – Sigma (for Gaussian) of 2nd Voigt function.

  • g2 (float) – Gamma (for Lorentzian) of 2nd Voigt function.

  • clib (bool, optional, default=True) – Whether to use the complied C library or a slower Python version. If using the C library, the accuracy of the integration is reduced to give the code a significant speed boost. Python version can be used when speed is not a priority. Python version will remove deviations that are sometimes present around the wings due to the reduced accuracy.


result – The value of the Voigt function here.

Return type

numpy.ndarray, shape=`x.shape`

See also


Base Voigt function with no background.


Voigt function with background added.


Two Voigt function and a background added together.


More information on the Voigt function can be found here: