Update README.md

doc/README.md

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-&#8226 File management: For loop procedure, in the initial phase, the algorithm ingests the <code>best_nanoloops</code> directory along with the <code>properties</code> directory, and the property folder contains the <code>parameters.txt</code> file generated after steps 1 and 2 of the analysis. For curve procedure, the algorithm extract raw SSPFM file measurements and the property folder contains the <a href="https://github.com/CEA-MetroCarac/PySSPFM/blob/main/resources/measurement%20sheet%20model%20SSPFM.csv">measurement sheet model SSPFM</a> file <code>measurement_sheet_parameters.csv</code>.<br>
+&#8226 File management: For loop procedure, in the initial phase, the algorithm ingests the <code>best_nanoloops</code> directory along with the <code>properties</code> directory, and the property folder contains the parameters of json file of 2nd step of analysis. For curve procedure, the algorithm extract raw SSPFM file measurements and the property folder contains the <a href="https://github.com/CEA-MetroCarac/PySSPFM/blob/main/resources/measurement%20sheet%20model%20SSPFM.csv">measurement sheet model SSPFM</a> file <code>measurement_sheet_parameters.csv</code>.<br>
 &#8226 Common (user) parameters: all parameters common to the entire (both loop or curve) clustering analysis. Two distinct clustering algorithms exist: one for loops and the other for curves, specified with the <code>object</code> parameter.<br>
 &#8226 Loop parameters: all parameters common to the analysis of a clustering associated with a loop (best nanoloops generated after the second processing step). <br>
 &#8226 Curve parameters: all parameters common to the analysis of a clustering associated with a curve (raw SSPFM measurement channels). <br>