Can Fityk help identify peaks in large and spliced data sets for a physics lab?

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SUMMARY

The discussion centers on using Fityk, a peak fitting software, to analyze large and spliced data sets in a physics lab. The user has over 70,000 data points with gaps where data is missing, resulting in a sinusoidal oscillation pattern. Fityk is recommended for its capability to identify peaks and fit data effectively, making it suitable for the user's specific needs in peak analysis.

PREREQUISITES
  • Understanding of peak fitting techniques
  • Familiarity with Fityk software
  • Basic knowledge of data analysis concepts
  • Experience with handling large data sets
NEXT STEPS
  • Download and install Fityk for peak analysis
  • Learn how to preprocess data for Fityk
  • Explore Fityk's documentation on fitting models
  • Research methods for handling missing data in large datasets
USEFUL FOR

Researchers, physicists, and data analysts who need to identify peaks in large and complex data sets, particularly those with missing data points.

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This is my first post, if you need any more information I'll try to put it up as quickly as possible.

I have a tricky problem in my lab that may lend itself to computer programming, but I have little training in that area.

OBJECTIVE: How many peaks are there in my data?
DATA:
I have a large set of data points (70 000+).
There are skips in the data where the lost points are not recorded and the points on either side of these gaps are just spliced together.
The graph of the data points oscillates in a generally sinusoidal fashion.
The envelope made by tracing the peaks has its own distinct shape and period (which changes).

We're trying a couple add-hoc methods, but we don't really have a good handle on this yet.
 
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Have you tried evaluating the data using any analysis software: Minitab, Mathematica, etc...
 
Try fityk to look at the data, it has been written to fit peaks in data...

http://www.unipress.waw.pl/fityk/
 
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