simcal_screen — SIMCAL fit op

• 資料種類:simmodel → table

• 呼叫: import fullseye as fs; fs.ledger.simcal_screen(model=None, method='morris', size=8, threshold=10.0, seed=0) -> 'dict'(要直接呼叫實作,import simcal; simcal.simcal_screen(model=None, method='morris', size=8, threshold=10.0, seed=0) -> 'dict';從台帳取用則 opssimcal.get("simcal_screen"))

用法

哪些旋鈕能使影像變化超過相機雜訊、哪些相互混雜、輸出有多少個獨立方向。

> 以下的詳細說明為原文 —— 摘要與標題已翻譯。

Runs the model on a screening plan over the free knobs' ranges — Morris trajectories (sensitivity.doe_morris, size of them, (k+1) runs each) or a Saltelli plan (sensitivity.doe_saltelli with n = the power of two >= 8 x size rows, (k+2) n runs) — and whitens every output by the noise standard deviation at the initial knobs. The whitened outputs are reduced to principal components and the indices are computed per component with sensitivity.sens_morris / sens_sobol (reused):

Morris mu_star_whitened = sqrt(sum over components of mu*^2) — roughly how many noise standard deviations a full-range move of the knob shifts the images; Sobol' gsi_st = the variance-weighted total index over components (Lamboni et al. 2011). output_dims = number of principal directions of the centred whitened runs above the noise edge (sensitivity.mv_residual_pca with sigma = 1): more free knobs than output dims means the data cannot fix them all. Local confounding at the initial knobs:

sensitivity.mv_confounding on the whitened Jacobian (gamma_K > threshold).

class per knob: no_influence (Morris: mu*_whitened < 1.96, i.e. a full-range move is within noise; Sobol': gsi_st < 0.001), combination (in a confounded group: only a combination is determined), else determined. Needs a noise model (refused without).

詳細使用指南

• sim_to_real_calibration 族使用指南

參考(範例資料、文獻)

• 範例資料目錄(下載 URL / 授權) —— 2-D 用 skimage.data(BSD/公有領域)加合成圖,3-D 給出真實資料源(Stanford/PDS 等)的下載 URL。

• 運算子來歷與參考文獻 —— 該運算子族所依據的研究/方法出處。

• 演算法的正典(作者、年份)與用途見上面的族使用指南。

可執行的範例(實際呼叫該運算子並已驗證的樣例)

• poc_simcal_thin_film — py -3.11 examples/poc_simcal_thin_film.py

• simcal_tour — py -3.11 examples/simcal_tour.py

型別可銜接的下一個運算子(可接受 table 作為輸入)

—

同類別(fit)

simcal_fit


*Provenance: simcal.py — SIMCAL 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.