Add energycalibrationplot and lplot! for energy calibration plots

[fhagemann]

These functions can plot the report returned by LegendSpecFits.fit_calibration:

result_calib, report_calib = fit_calibration(energy_config_ch.cal_pol_order, μ_fit, pp_fit; e_expression=e_uncal_func)

LegendMakie.lplot(report_calib, xerrscaling=100, additional_pts=(μ = μ_notfit, peaks = pp_notfit), 
    title = get_plottitle(filekey, det, "Calibration Curve"; additiional_type=string(e_type)))

I tried to allow for the same keywords (plot_ribbon, xerrscaling, yerrscaling) as before

[codecov]

Codecov Report

Attention: Patch coverage is 95.12195% with 4 lines in your changes missing coverage. Please review.

Project coverage is 92.23%. Comparing base (fea5c06) to head (0119618).
Report is 7 commits behind head on main.

Files with missing lines	Patch %	Lines
ext/LegendMakieMeasurementsExt.jl	95.06%	4 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main      #10      +/-   ##
==========================================
+ Coverage   91.79%   92.23%   +0.43%     
==========================================
  Files           9        9              
  Lines         317      399      +82     
==========================================
+ Hits          291      368      +77     
- Misses         26       31       +5     

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[fhagemann]

I also added the FWHM plot into this PR, that is returned by LegendSpecFits.fit_fwhm.

result_fwhm, report_fwhm = fit_fwhm(energy_config_ch.fwhm_pol_order, pp_fit, fwhm_fit)

LegendMakie.lplot(report_fwhm, additional_pts=(peaks = pp_notfit, fwhm = fwhm_notfit), 
    title = get_plottitle(filekey, det, "FWHM"; additiional_type=string(e_type)))