check op• Data kinds: calresult → calresult
• Call: import fullseye as fs; fs.ledger.simcal_identifiability(result=None, at=None, profile=True, level=0.95, threshold=None) -> 'dict' (implementation को सीधे call करना हो तो import simcalcheck; simcalcheck.simcal_identifiability(result=None, at=None, profile=True, level=0.95, threshold=None) -> 'dict', registry से लेना हो तो opssimcal.get("simcal_identifiability"))
हर fit किए गए knob की Fisher information, Cramér-Rao bound, correlations, collinearity और profile likelihood।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
Computed at the fit's end point (or at at = {knob: value}, e.g. the true values of a synthetic study, without touching the estimates). Returned in identifiability:
fisher (natural units), crlb (sqrt of the diagonal of its inverse — the smallest standard deviation any unbiased estimator can have under the noise model), condition (of the Fisher matrix on the unit-scaled knobs; > 1e6 adds a warning), correlation, gamma_full and confounded_groups (sensitivity.mv_confounding), and with profile=True a profile per knob: the likelihood-ratio interval where chi^2 stays within chi^2_1(level) of its minimum (3.84 at 95 %), each other knob re-fitted at every step (Raue et al. 2009). Knobs whose profile does not rise above the threshold on both sides inside the range lose their point estimate: upper_only / lower_only (only one limit exists) or undetermined. Each profile keeps its trace (knob value, chi^2 rise) of the evaluated points. No noise model: refused.
• sim_to_real_calibration family guide
• Sample data catalog (DL URL / license) — 2-D के लिए skimage.data (BSD/public) + synthetic, 3-D के लिए real data sources (Stanford/PDS आदि) के DL URL।
• Operators का स्रोत और संदर्भ — इस op family के मूल research/methods के स्रोत।
• Algorithm का मानक स्रोत (लेखक, वर्ष) और उपयोग ऊपर की family usage guide में दिए गए हैं।
• poc_simcal_thin_film — py -3.11 examples/poc_simcal_thin_film.py
• simcal_checks_tour — py -3.11 examples/simcal_checks_tour.py
calresult को input के रूप में लेते हैं)simcal_uncertainty · simcal_validate · simcal_discrepancy · simcal_report
check)simcal_uncertainty · simcal_validate · simcal_discrepancy
*Provenance: simcalcheck.py — SIMCAL operator registry. यह per-op note tools/opdocs.py md से अपने-आप generate होता है (हाथ से edit न करें)।*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.