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@@ -76,8 +76,8 @@ TIDMAD users could follow the procedure below to reprocued the result in our pap
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  * `--level` is either 'coarse' or 'fine' for coarse or full axion mass points. Standard is 'coarse'.
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  * `--v` for verbose option for logger and error messages.
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  8. Run `AxionPhoton_TIDMAD.ipynb` to produce the global Dark Matter Limit plot. This Jupyter notebook utilizes the plotting tools from [AxionLimits](https://github.com/cajohare/AxionLimits) along with a specific plotting function `PlotFuncs_TIDMAD.py` for this project.
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- * **Note**: the denoised `.csv` files generated by step 7 must placed in the `limit_data` folder. The variable `denoised_ABRA_limit_file` in the jupyter notebook must be changed accordingly.
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- * You must have `AxionPhoton_TIDMAD.ipynb`, `PlotFuncs_TIDMAD.py`, and `limit_data` (along with all of its contents) in the same directory for this script to run.
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  ## Contact
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  Please contact J. T. Fry for all questions about the code and data [jtfry@mit.edu](mailto:jtfry@mit.edu).
 
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  * `--level` is either 'coarse' or 'fine' for coarse or full axion mass points. Standard is 'coarse'.
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  * `--v` for verbose option for logger and error messages.
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  8. Run `AxionPhoton_TIDMAD.ipynb` to produce the global Dark Matter Limit plot. This Jupyter notebook utilizes the plotting tools from [AxionLimits](https://github.com/cajohare/AxionLimits) along with a specific plotting function `PlotFuncs_TIDMAD.py` for this project.
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+ * **Note**: the denoised `.csv` files generated by step 7 must placed in the `limit_data` folder. The variable `denoised_ABRA_limit_file` in the jupyter notebook must be changed accordingly.
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+ * You must have `AxionPhoton_TIDMAD.ipynb`, `PlotFuncs_TIDMAD.py`, and `limit_data` (along with all of its contents) in the same directory for this script to run.
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  ## Contact
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  Please contact J. T. Fry for all questions about the code and data [jtfry@mit.edu](mailto:jtfry@mit.edu).