check op• 資料種類:calresult → calresult
• 呼叫: import fullseye as fs; fs.ledger.simcal_uncertainty(result=None, method='laplace', n_boot=40, level=0.95, seed=0) -> 'dict'(要直接呼叫實作,import simcalcheck; simcalcheck.simcal_uncertainty(result=None, method='laplace', n_boot=40, level=0.95, seed=0) -> 'dict';從台帳取用則 opssimcal.get("simcal_uncertainty"))
已確定旋鈕的標準差與區間：Laplace（Fisher 資訊之逆）或參數自助法。
> 以下的詳細說明為原文 —— 摘要與標題已翻譯。
Only knobs that kept a point estimate are covered; knobs without one are held at the end point (the intervals are conditional on them — stated in note). laplace: covariance = inverse of J^T W J at the estimate on the unit-scaled knobs, intervals u ± z sd mapped back through each knob's scale (a log knob gets an asymmetric interval), std by the delta method. bootstrap: n_boot refits to the fitted prediction plus Gaussian noise of the noise model's variance (Efron 1979), percentile intervals at level. A result with no point estimate is refused. Under a model discrepancy both are optimistic (simcal_discrepancy says so).
• sim_to_real_calibration 族使用指南
• 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。
• poc_simcal_thin_film — py -3.11 examples/poc_simcal_thin_film.py
calresult 作為輸入)simcal_identifiability · simcal_validate · simcal_discrepancy · simcal_report
check)simcal_identifiability · simcal_validate · simcal_discrepancy
*Provenance: simcalcheck.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.