I'm doing a Fisher Forecast to satisfy my experimental physics requirement. I never done anything like this before so I'm kind of in the dark of how to proceed. I have done some readings on Fisher Forecasting and would like to outline how I would do it and then ask if you can tell me if I'm right.(adsbygoogle = window.adsbygoogle || []).push({});

- I have a list of observables and how they vary with parameters I want to know the errors bars for.

- I also have a list of upcoming experiments which can constrain these parameters with there expected noise levels and instrumental uncertainty.

- I have covariant matrices from experiments done in the past that constrain these parameters.

- I then form my fisher matrix with the following equation

And then I'm done I think. Can anyone tell me if it is really this simple or am I missing a whole bunch of stuff. I never did data analysis before and I need to be fully done by the end of this month.

- Once I have those matrices from all of my experiments for each parameter I then invert those matrices, add them onto the covariant matrices from past experiments. I then invert that to get my Fisher Information Matrix

- In order to find the uncertainties for each of my parameters once I have the Fisher Information Matrix I compute where the 11 can be ij and the all I need to worry about are the diagonal elements of this inverse.

Thanks you

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# A How To Do Fisher Forecasting For Constraining Parameters

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