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

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The discussion centers on a lab problem involving the analysis of a large dataset with over 70,000 points, characterized by sinusoidal oscillations and gaps where data points are missing. The primary objective is to determine the number of peaks in this dataset. Participants suggest exploring various analysis software options, including Minitab, Mathematica, and specifically recommend using Fityk, a tool designed for peak fitting in data. The need for effective methods to analyze the data and handle its unique characteristics is emphasized, as the existing ad-hoc approaches have not yielded satisfactory results.
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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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