Here is a guide for CRASY data analysis, written for a UNIST lab course: PC_lab_course_CRASY_Schultz.pdf. You can find an installation guide for the data analysis software on page 6 and a guide for CRASY data analysis on the following pages. If you want to learn more about the CRASY experiment, navigate to the crasy.org landing page.
You will require the following software:
(1) Python (I suggest to install the “Miniconda” package.)
(2) The crasyPlots program.
If you have trouble installing or running the software, watch the walk-through video below.
The data is stored in compressed format (zip files). Here are a few data sets from 2020:
2-ns scan of carbon disulfide: 2020_CS2_Mar31_15.25_2ns
20-ns scan of pyridine: May25_17.31_20ns
100-ns scan of pyridine: 2020_pyridine_Mar26_16.00_100ns
500-ns scan of furan: 2020_furan_Jun02_10.45_500ns
Just follow the steps described in the guide. The pyridine (mass 79 u) and furan (mass 68 u) data also contains a small signal for CS2 (mass 76 u), which allows an easy calibration of the mass spectrum and also gives a nice frequency spectrum. If you have difficulties with the data analysis steps, you can watch the walk-through video below.