Troubleshooting NonlinearModelFit in Mathematica

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The discussion revolves around troubleshooting the NonlinearModelFit function in Mathematica for a pyrene fluorescence assignment. The user is struggling to obtain a convergent fit for a specific function, despite peers having success. They have managed to estimate three out of four coefficients but are uncertain about their accuracy due to the fourth coefficient failing to converge. The sensitivity of non-linear fits to initial parameter values is highlighted, suggesting that adjusting starting values may resolve the issue. The user seeks advice on potential errors in their approach or alternative ways to express the function for better fitting results.
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Hello, I'm working on this Mathematica assignment, just basic tutorial-type stuff (you can ignore the details about pyrene, not important), and the fit on this function won't converge. Someone in my class said it converged fine, so I was wondering if anyone notices any errors in my work. Alternatively, can you think of any alternative ways to express the function?

Thanks!

Homework Statement




3. Formation and Decay of Pyrene Excimer in Solution

The traces for pyrene fluorescence (see Experiment 3) show a fast rise and a slower fall processes which correspond to a complex kinetic of the formation and decay of the pyrene excimer in solution. The evolution of the excimer fluorescence intensity I(t) in time t can be described by the following equation:

I(t) = -Ae-kat+Be-kbt

Data are provided in a file “emission_data” with time given in the first column, while the fluorescence intensity given in the second column.

REPORT:
(1) Find coefficients A, B, ka and kb. Estimate standard error and confidence levels for these parameters. Hint: see Mathematica help menu for function NonlinearModelFit.
(2) Provide plot of data with the superimposed fit function


Homework Equations



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The Attempt at a Solution



See attached screenshot.

I can get 3/4 coefficients, but I don't know if they're correct due to the fourth one failing to converge, and I can't make the plot without all coefficients!
 

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Non-linear function fits can be very sensitive to the starting values of the function parameters. I'd think there would be an option to provide starting 'guesses'. If so, playing around with the starting values could fix the problem.
 

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