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Merge pull request #112 from legend-exp/patch_sipm-simple
Bug Fix `SiPM` Simple Calibration + Optimization
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| """ | ||
| fit_sipm_wl(trig_max_grid::VectorOfVectors{<:Real}, e_grid_wl::StepRangeLen) | ||
| Fit the SiPM spectrum for different window lengths and return the optimal window length. | ||
| # Arguments | ||
| - `trig_max_grid`: grid of trigger maxima for different window lengths | ||
| - `e_grid_wl`: range of window lengths to sweep through | ||
| # Returns | ||
| - `result`: optimal window length and corresponding gain, resolution and position of 1pe peak | ||
| - `report`: report with all window lengths and corresponding gains, resolutions and positions of 1pe peaks | ||
| """ | ||
| function fit_sipm_wl(trig_max_grid::VectorOfVectors{<:Real}, e_grid_wl::StepRangeLen, thresholds::Vector{<:Real}=zeros(length(e_grid_wl)); | ||
| min_pe_peak::Int=1, max_pe_peak::Int=5, n_fwhm_noise_cut::Real=2.0, peakfinder_threshold::Real=5.0, initial_max_amp::Real = 50.0, initial_max_bin_width_quantile::Real=0.9999, | ||
| peakfinder_rtol::Real=0.1, peakfinder_α::Real=0.1, peakfinder_σ::Real=-1.0, | ||
| min_pe_fit::Real=0.6, max_pe_fit::Real=3.5, Δpe_peak_assignment::Real=0.3) | ||
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| gain_wl = Vector{Measurement{Float64}}(undef, length(e_grid_wl)) | ||
| res_1pe_wl = Vector{Measurement{Float64}}(undef, length(e_grid_wl)) | ||
| pos_1pe_wl = Vector{Measurement{Float64}}(undef, length(e_grid_wl)) | ||
| success = falses(length(e_grid_wl)) | ||
| reports_simple = Vector{NamedTuple}(undef, length(e_grid_wl)) | ||
| reports_fit = Vector{NamedTuple}(undef, length(e_grid_wl)) | ||
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| # for each window lenght, calculate gain, resolution and position of 1pe peak | ||
| Threads.@threads for w in eachindex(e_grid_wl) | ||
| wl = e_grid_wl[w] | ||
| trig_max = filter(isfinite, collect(trig_max_grid[w])) | ||
| threshold = thresholds[w] | ||
| try | ||
| result_simple, report_simple = sipm_simple_calibration(trig_max; initial_min_amp=threshold, initial_max_amp=initial_max_amp, initial_max_bin_width_quantile=initial_max_bin_width_quantile, | ||
| min_pe_peak=min_pe_peak, max_pe_peak=max_pe_peak, n_fwhm_noise_cut=n_fwhm_noise_cut, peakfinder_threshold=peakfinder_threshold, | ||
| peakfinder_rtol=peakfinder_rtol, peakfinder_α=peakfinder_α, peakfinder_σ=peakfinder_σ) | ||
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| result_fit, report_fit = fit_sipm_spectrum(result_simple.pe_simple_cal, min_pe_fit, max_pe_fit; f_uncal=result_simple.f_simple_uncal, Δpe_peak_assignment=Δpe_peak_assignment) | ||
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| # gain_wl[w] = minimum(result_simple.peakpos) - ifelse(threshold == 0.0, result_simple.noisepeakpos, threshold) | ||
| gain_wl[w] = minimum(result_simple.peakpos) - result_simple.noisepeakpos | ||
| res_1pe_wl[w] = first(result_fit.resolutions) | ||
| pos_1pe_wl[w] = first(result_fit.positions) | ||
| reports_simple[w] = report_simple | ||
| reports_fit[w] = report_fit | ||
| success[w] = true | ||
| catch e | ||
| @warn "Failed to process wl: $wl: $e" | ||
| end | ||
| end | ||
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| thrs = if all(thresholds .== 0.0) ones(length(e_grid_wl)) else thresholds end | ||
| obj = sqrt.(res_1pe_wl[success]) .* sqrt.(thrs[success]) ./ gain_wl[success] | ||
| wls = collect(e_grid_wl)[success] | ||
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| if isempty(obj) | ||
| @error "No valid gain found" | ||
| throw(ErrorException("No valid gain found, could not determine optimal window length")) | ||
| end | ||
| min_obj, min_obj_idx = findmin(obj) | ||
| wl_min_obj = wls[min_obj_idx] | ||
| min_res1pe = res_1pe_wl[success][min_obj_idx] | ||
| min_gain = gain_wl[success][min_obj_idx] | ||
| min_pos1pe = pos_1pe_wl[success][min_obj_idx] | ||
| min_threshold = thresholds[success][min_obj_idx] | ||
| min_report_simple = reports_simple[success][min_obj_idx] | ||
| min_report_fit = reports_fit[success][min_obj_idx] | ||
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| # generate result and report | ||
| result = ( | ||
| wl = measurement(wl_min_obj, step(e_grid_wl)), | ||
| obj = min_obj, | ||
| res_1pe = min_res1pe, | ||
| gain = min_gain, | ||
| pos_1pe = min_pos1pe, | ||
| threshold = min_threshold | ||
| ) | ||
| report = ( | ||
| wl = result.wl, | ||
| min_obj = result.obj, | ||
| gain = gain_wl, | ||
| res_1pe = res_1pe_wl, | ||
| pos_1pe = pos_1pe_wl, | ||
| threshold = thresholds[success], | ||
| a_grid_wl_sg = wls, | ||
| obj = obj, | ||
| report_simple = min_report_simple, | ||
| report_fit = min_report_fit, | ||
| ) | ||
| return result, report | ||
| end | ||
| export fit_sipm_wl | ||
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| """ | ||
| fit_sipm_threshold(thresholds::Vector{<:Real}, min_cut::Real=minimum(thresholds), max_cut::Real=maximum(thresholds); n_bins::Int=-1, relative_cut::Real=0.2, fit_thresholds::Bool=true, uncertainty::Bool=true) | ||
| Fit the SiPM threshold spectrum and return the optimal threshold. | ||
| # Arguments | ||
| - `thresholds`: vector of thresholds | ||
| - `min_cut`: minimum threshold | ||
| - `max_cut`: maximum threshold | ||
| - `n_bins`: number of bins for histogram | ||
| - `relative_cut`: relative cut for threshold | ||
| - `fit_thresholds`: fit thresholds | ||
| - `uncertainty`: calculate uncertainty | ||
| # Returns | ||
| - `result`: optimal threshold and corresponding gain, resolution and position of 1pe peak | ||
| - `report`: report with all thresholds and corresponding gains, resolutions and positions of 1pe peaks | ||
| """ | ||
| function fit_sipm_threshold(thresholds::Vector{<:Real}, min_cut::Real=minimum(thresholds), max_cut::Real=maximum(thresholds); n_bins::Int=-1, relative_cut::Real=0.2, fit_thresholds::Bool=true, uncertainty::Bool=true) | ||
| # cut out thresholds | ||
| filter!(in(min_cut .. max_cut), thresholds) | ||
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| # get bin_width | ||
| h = if n_bins < 1 | ||
| fit(Histogram, thresholds, min_cut:get_friedman_diaconis_bin_width(thresholds):max_cut) | ||
| else | ||
| fit(Histogram, thresholds, n_bins) | ||
| end | ||
| # get simple thresholds | ||
| result_simple = (μ_simple = mean(thresholds), σ_simple = std(thresholds)) | ||
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| # fit histogram | ||
| result_trig, report_trig = if fit_thresholds | ||
| # generate cuts for thresholds | ||
| cuts_thres = cut_single_peak(thresholds, min_cut, max_cut; n_bins=n_bins, relative_cut=relative_cut) | ||
| # fit histogram | ||
| fit_binned_trunc_gauss(h, cuts_thres; uncertainty=uncertainty) | ||
| else | ||
| (μ = result_simple.μ_simple, σ = result_simple.σ_simple), h | ||
| end | ||
| # get simple std and mu values | ||
| result = merge(result_trig, result_simple) | ||
| return result, report_trig | ||
| end | ||
| export fit_sipm_threshold |
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