sem_yield_curve — GENERATIVE `sem` op

• Data kinds: none → table (an op determined by its arguments alone — it takes no image or data input)

• Call: import fullseye as fs; fs.ledger.sem_yield_curve(material='SI', energies_kev=None, *, n_electrons: 'int' = 2000, seed: 'int' = 0) -> 'dict' (to call the implementation directly, import sem; sem.sem_yield_curve(material='SI', energies_kev=None, *, n_electrons: 'int' = 2000, seed: 'int' = 0) -> 'dict'; from the registry, opsgenerative.get("sem_yield_curve"))

Usage

Sweep the accelerating voltage, compute η(E) and δ(E) by Monte Carlo, and compare the shape of δ with the universal curve.

> The detailed description below is the original text — the summary and the headings are translated.

δ の山の位置 Emax は、山の周りの 3 点に log E の放物線を当てて求める。universal は Lin & Joy 2005 の普遍曲線を、この MC の Emax・δmax で戻した値。shape_rms は E/Emax ∈ [0.25, 8] の点での δ/δmax と普遍曲線の差の RMS。

Returns

dict

energies_kev / eta / se_yield / emax_kev / delta_max /

universal / shape_rms / shape_max_abs。

Examples

>>> r = sem_yield_curve("SI", [0.2, 0.4, 0.8, 1.6, 3.2], n_electrons=300)

>>> r["emax_kev"] > 0.1 and len(r["se_yield"]) == 5

True

Detailed usage guide

• generative_art family guide

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• poc_virtual_sem_kv_cd_bse — py -3.11 examples/poc_virtual_sem_kv_cd_bse.py

Ops the type connects to (they accept `table` as input)

perpetual_step · perpetual_render

Same category (`sem`)

sem_render · sem_electron_mc · sem_se_universal_curve · sem_line_profile · sem_cd_measure · sem_image · sem_se_escape_fraction · sem_charging_series

*Provenance: sem.py — GENERATIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

sem_yield_curve — GENERATIVE sem op