fullseye

simcal_discrepancy — SIMCAL `check` op

データ種: calresult → calresult
呼び出し: import fullseye as fs; fs.ledger.simcal_discrepancy(result=None, level=0.99) -> 'dict' (実装を直接呼ぶなら import simcalcheck; simcalcheck.simcal_discrepancy(result=None, level=0.99) -> 'dict'、台帳から引くなら opssimcal.get("simcal_discrepancy"))

使い方

Is there structure in the noise-normalised residuals that the model cannot produce (model discrepancy)?

The residual of every valid pixel is divided by the noise standard deviation (camera noise plus the model’s own sample variance), so white residuals have unit variance. With three or more conditions the matrix is conditions x pixels valid in all of them; with fewer it is the rows x columns of the (first) residual image (a smooth spatial pattern is low-rank there). sensitivity.mv_residual_pca counts the components whose singular value exceeds the Tracy-Widom level point of white noise of that shape (Johnstone 2001; level in 0.90 / 0.95 / 0.99 — the bare Marchenko-Pastur edge sqrt(n) + sqrt(p) is exceeded by pure noise 10-14 % of the time, measured). Structure found: verdict = "structure", the loadings as maps (where the model is wrong), and a warning that every uncertainty of the result is optimistic — a calibrated knob may be absorbing the missing physics.

詳しい使い方ガイド

sim_to_real_calibration ファミリガイド

参考(サンプルデータ・文献)

サンプルデータカタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。
演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。
アルゴリズムの正典(著者・年)と用途は上記ファミリ使い方ガイドに記載。

実行できる例(この op を実際に呼ぶ検証済みサンプル)

poc_pocket_interreflection — py -3.11 examples/poc_pocket_interreflection.py
poc_simcal_pixel_shift — py -3.11 examples/poc_simcal_pixel_shift.py
poc_simcal_telecentric — py -3.11 examples/poc_simcal_telecentric.py
poc_simcal_thin_film — py -3.11 examples/poc_simcal_thin_film.py
simcal_checks_tour — py -3.11 examples/simcal_checks_tour.py

型が繋がる次の op(`calresult` を入力に取れる)

simcal_identifiability · simcal_uncertainty · simcal_validate · simcal_report

同カテゴリ(`check`)

simcal_identifiability · simcal_uncertainty · simcal_validate

Provenance: simcalcheck.py — SIMCAL operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。

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