Scanning Tunneling Spectra Analysis in Python
Project description
##################### STSPY #########################
Version = 0.1.1
Scanning Tunneling Spectra Python Analysis
Establishes a python class called spectra object with relevant parameters automatically tabulated (and optionally an STM object described below)
In addition, adds a specgrid object which contains similar attributes
To load a spectra from a VERT file, just do: spec = stspy.load_VERT_file(filename) To load a specgrid file, do: specgrid = stspy.load_specgrid_file(filename) #filename is the .specgridfile, dat file is required to be in the same place as the .specgridfile, but isn’t included in the arugment
Spectra (and specgrid) objects have a variety of attributes.
Automatically pulls parameters of particular importance including: ZPiezoconst LockinAmpl
Once called, spectra object contains has the following properties: V: sample voltage (volts) z: (Angstroms) I: current (amps) dIdV: differential conductance (mV)
Methods available: average(hyst_cor = True): if there are multiple passes, averages the spectra back and forth. hyst_cor (default True) applies a correction accounting for differences upon sweeping normalize(kappa): if using a z-ramp, this is useful. Multiplies the current and conductance by exp(-2*kappa*z) where kappa is a provided number (or array same length as z) to be determined by measurement
Another python class is created called STM which has the following properties and default values: DAC_Voltage_Range = 20000.0: Voltage range of the DAC in mV (i.e. 10V - (-10V) = 20V = 20000mV) LockinRC_facotr = 7960.0: Mutliplicative factor to get LockinRC param in Hz
Adjust values of this object to account for different STM or versions of stmafm software
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