Fitting Data to an Equation with a Series

AI Thread Summary
The discussion centers on fitting data to a specific equation involving current (I), light current (I_L), reverse saturation current (I_0), voltage (V), series resistance (R_S), and shunt resistance (R_SH). The equation suggests a relationship where I is dependent on itself, raising questions about the appropriateness of using a series for fitting. Participants note issues with LaTeX formatting, indicating a need for clearer communication of mathematical expressions. The overall focus is on finding the best method to accurately fit experimental data to the given equation. Clarifying the dependencies and resolving formatting issues are essential for effective data analysis.
dacruick
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I = I_{L} - I_{0} \left\{\exp\left[\frac{q(V + I R_{S})}{nkT}\right] - 1\right\} - \frac{V + I R_{S}}{R_{SH}}

The above equation represents the curve that I would like to fit my data to. However, 'I' is dependent on 'I', should I do this with a series?
 
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