aklab.vacuum module#

Tools for vacuum calculations: QMS vs IG calibration, etc.

aklab.vacuum.mass_k(mass)[source]#

Returns relative to H2 sensitivity for QMS or IG. Ion current of the respective mass, multiplied by the returned value and by the H2 calibration coeffitient will correspond to this mass partial pressure (or fluence).

Parameters

mass (int) – mass [2 | 4 | 18 | 32 | 44 | 28]

Returns

relative sensitivity of a gas

Return type

float

aklab.vacuum.mean_free_path(p, gas='Air')[source]#

Given pressure in [Pa] returns mean free path in [m]. TODO: find the source for the constatns.

Parameters

  • p (float) – Pressure in Pa

  • gas (string) – gas = [“Xe” | “H2O” | “CO2” | “Cl” | “Kr” | “Ar” | “N2” | “Air” | “O2” | “Hg” | “H2” | “Ne” | “He” |

Returns

Mean free path for given gas at given pressure.

Return type

float

aklab.vacuum.qms_ig_calibration(raspi, qms, rangeis, gain=1, show_summary=False, mass_select='2', style=False, xoffset=None, yoffset=None)[source]#

QMS vs IG calibration

Parameters

  • raspi (raspi.raspi) – plasma control unit data class

  • qms (qulee.QMS) – QMS class with calibration data

  • rangeis (list-like) – time interval [start,end], datetime.datetime

  • show_summary (bool) – show summary

  • mass_select (string) – “2”

  • style (bool) – plot style, one of two

  • xoffset (None or float) – offset

  • yoffset (None or float) – offset