This file was created using PyCorrFit version 0.8.2-alpha3.
The .zip archive you are looking at is a stored session of PyCorrFit.
If you are interested in how the data is stored, you will find
out here. Most important are the dimensions of units:
Dimensionless representation:
 unit of time        : 1 ms
 unit of inverse time: 10³ /s
 unit of distance    : 100 nm
 unit of Diff.coeff  : 10 µm²/s
 unit of inverse area: 100 /µm²
 unit of inv. volume : 1000 /µm³
From there, the dimension of any parameter may be
calculated.

There are a number of files within this archive, 
depending on what was done during the session.

backgrounds.csv
 - Contains the list of backgrounds used and
 - Averaged intensities in [kHz]

bg_trace*.csv (where * is an integer)
 - The trace of the background corresponding
   to the line number in backgrounds.csv
 - Time in [ms], Trace in [kHz]

comments.txt
 - Contains page titles and session comment
 - First n lines are titles, rest is session
   comment (where n is total number of pages)

data*.csv (where * is (Number of page))
 - Contains lag times [ms]
 - Contains experimental data, if available

externalweights.txt
 - Contains names (types) of external weights other than from
   Model function or spline fit
 - Linewise: 1st element is page number, 2nd is name
 - According to this data, the following files are present in the archive

externalweights_data_*PageID*_*Type*.csv
 - Contains weighting information of Page *PageID* of type *Type*

model_*ModelID*.txt
 - An external (user-defined) model file with internal ID *ModelID*

Parameters.yaml
 - Contains all Parameters for each page
   Block format:
    - - '#(Number of page): '       
      - (Internal model ID)
      - (List of parameters)
      - (List of checked parameters (for fitting))
      - [(Min channel selected), (Max channel selected)]
      - [(Weighted fit method (0=None, 1=Spline, 2=Model function)), 
         (No. of bins from left and right),
         (No. of knots (of e.g. spline)),
         (Type of fitting algorithm (e.g. "Lev-Mar", "Nelder-Mead")]
      - [B1,B2] Background to use (line in backgrounds.csv)
           B2 is always *null* for autocorrelation curves
      - Data type is Cross-correlation?
      - Parameter id (int) used for normalization in plotting.
        This number first enumerates the model parameters and then
        the supplemental parameters (e.g. "n1").
      - - [min, max] fitting parameter range of 1st parameter
        - [min, max] fitting parameter range of 2nd parameter
        - etc.
 - Order in Parameters.yaml defines order of pages in a session
 - Order in Parameters.yaml defines order in comments.txt

Readme.txt (this file)

Supplements.yaml
 - Contains errors of fitting
   Format:
   -- Page number
    -- [parameter id, error value]
     - [parameter id, error value]
    - Chi squared
    - [pages that share parameters] (from global fitting)
     
trace*.csv (where * is (Number of page) | appendix "A" or "B" point to
            the respective channels (only in cross-correlation mode))
 - Contains times [ms]
 - Contains countrates [kHz]
