The project is mainly for the Cavity ring-down spectroscopy (CRDS) with the comb laser.
The large scale of crds data caused difficulty in analyzing and storing the data.
Therefore, We plan to design a filter to filter out some redundant data and precisely pinpoint the useful data.

In the Spectrum Signal Filter (SSF), the output of SSF finally created the suggested data (./output/*.txt) each of which includes one peak of crds data.
In the meanwhile, SSF also marked the order of comb's lines in different scanning(pzt) by .txt name

mkdir raw_data

copy a raw data to ./raw_data/

python do_simulator.py -i "raw_data name"

ex: python do_simulator.py -i "sample.txt"

open do_peak_sensor.ipynb

In the function, it would play a sensing role to directly find the peak's locations
In the ipynb, you also can check the sensing result

If everything is fine, save the result to './peak_sensor/'

open main.ipynb

Now, it's still programming....