Metadata-Version: 2.1
Name: srsinst.rga
Version: 0.2.8
Summary: Instrument library and GUI application for SRS RGA
Author: Chulhoon Kim
License: MIT license
Keywords: RGA,residual gas analyzer,SRS,Stanford Research Systems
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: full
License-File: LICENSE.txt

# `srsinst.rga`

`srsinst.rga` is a Python GUI application to control and acquire mass spectra from 
[Stanford Research Systems (SRS) Residual Gas Analyzers (RGA)](https://thinksrs.com/products/rga.html).
To use this package safely, you need to be familiar with SRS RGA. You can download the
[manual](https://thinksrs.com/downloads/pdfs/manuals/RGAm.pdf) for your reference.

## Installation
You should have a working Python with `pip` (Python package installer) installed. If you don't,
[install Python 3](https://realpython.com/installing-python/) to your system.

To install `srsinst.rga` as an instrument driver , use Python package installer `pip` from the command line.

    python -m pip install srsinst.rga

To use its full GUI application, create a virtual environment and install:

    python -m pip install srsinst.rga[full]


## Run `srsinst.rga` as GUI application
if the Python Scripts directory is in PATH environment variable,
Start the application by typing from the command line:

    rga

If not,

    python -m srsinst.rga

It will start the GUI application.

Connect to an RGA from the Instruments menu.
Select a task from the Task menu.
Press the green arrow to run the selected task. 

You can write your own task or modify an existing one and run it from the application, too.

## Use `srsinst.rga` as instument driver
* Start the Python program, or an editor of your choice to write a Python script.
* import the **RGA** class from `rga` package
* Initialize of an **RGA** instance to connect to an SRS RGA.

        from srsinst.rga import RGA100 as RGA

        # for TCPIP communication
        ip_address = '192.168.1.100'
        user_id = 'admin'
        password = 'admin'

        rga1 = RGA('tcpip', ip_address, user_id, password)

        # for serial communication
        # Baud rate for RGA100 is fixed to 28800
        # rga2 = RGA('serial', /dev/ttyUSB0', 28800)  # for Linux serial communication

        rga2 = RGA('serial', 'COM3', 28800)  # for Windows serial communication

        # or initialize a Rga instance without connection, then connect.
        rga3 = RGA()
        rga3.connect('tcpip', ip_address, user_id, password)

* Control ionizer parameters.

        # Set ionizer values
        rga1.ionizer.electron_energy = 70
        rga1.ionizer.ion_energy = 12
        rga1.ionizer.focus_voltage = 90

        # or
        rga1.ionizer.set_parameters(70, 12, 90)


        # Get the ionizer parameters
        a = rga1.ionizer.electron_energy
        b = rga1.ionizer.ion_energy
        c = rga1.ionizer.focus_voltage

        # or
        a, b, c = rga1.ionizer.get_parameters()


        # Set the filament emsission current.

        rga1.ionizer.emission_current = 1.0  # in the unit of mA
        rga1.ionizer.emission_current = 0.0  # It will turn off the filament

        # or

        rga1.filament.turn_on(1.0)  # emission cureent in the unit of mA
        rga1.filament.turn_off()


        # Get the emission current to check
        a = rga1.ionizer.emission_current

* Control detector parameters.

        # Set CEM voltage to the calibrated CEM voltage, or 0 to turn off
        rga1.cem.voltage = rga1.cem.stored_voltage
        rga1.cem.voltage = 0

        # or simply turn on or off
        rga1.cem.turn_on()
        rga1.cem.turn_off()

        # Read back CEM voltage setting
        a = rga1.cem.voltage

* Control scan parameters.

        # Set scan parameters
        rga1.scan.initial_mass = 1
        rga1.scan.final_mass = 50
        rga1.scan.scan_speed = 3
        rga1.scan.resolution = 10  # steps_per_amu

        # or
        rga1.scan.set_parameters(1, 50, 3, 10)

        # Get scan parameters
        mi, mf, nf, sa = rga1.scan.get_parameters()

* Run an analog scan.

        analog_spectrum  = rga1.scan.get_analog_scan()
        spectrum_in_torr = rga1.scan.get_partial_pressure_corrected_spectrum(analog_spectrum)

        # Get the mathing mass axis with the spectrum
        analog_mass_axis = rga1.scan.get_mass_axis(True)  # is it for analog scan? Yes.

* Run a histogram scan.

        histogram_spectrum  = rga1.scan.get_histogram_scan()

        # Get the matching mass axis with the spectrum
        histogram_mass_axis = rga1.get_mass_axis(False)  # is it for analog scan? No.

* Run a PvsT scan.

        masses_of_choice = [2, 18, 28, 32, 44]
        intensities = rga1.scan.get_multiple_mass_scan(masses_of_choice)

* Measure a single mass ion current of nitrogen at 28 amu

        intensity = rga1.scan.get_single_scan(28)

* Save the spectrum to a file.

        with open('spectrum.dat', 'w') as f:
            for x, y in zip(analog_mass_axis, analog_spectrum):
                f.write('{:.2f} {:.4e}\n'.format(x, y))

* Plot with [matplotlib](https://matplotlib.org/stable/users/getting_started/).

        import matplotlib.pyplot as plt
        plt.plot(analog_mass_axis, spectrum_in_torr)
        plt.show()
