L1 ⚛ L1-145 ⊙ Testnet

UV-Vis Spectroscopy / Imaging (electronic absorption)

Spectroscopy · Electronic-transition hyperspectral absorption

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Layer template

⬇ principle.md ⬇ principle.json

Fork L1-145

⬇ L1-145.md ⬇ L1-145.json

Prompt — copy into your LLM

You are helping me submit a MODIFICATION of L1-145 (UV-Vis Spectroscopy / Imaging (electronic absorption)) to the PWM Protocol — a Principle (L1) artifact.

I will paste a Markdown template (or the current L1-145.md).
1. Rewrite the Markdown so the science is correct and clearly explained for my change.
2. Regenerate the sibling L1-145.json so EVERY field matches the Markdown.
3. Keep the schema in the "File Mapping" footer at the bottom of the MD.
4. Keep the parent reference unchanged unless I ask otherwise.
Rules: the Markdown is the source of truth; use SI units; do NOT invent benchmark scores.
Output each file in its own fenced code block tagged with the filename.

Here is my template:
[PASTE THE .md HERE]

⚙ Forward Model

y = Σ_λ `L.absorb.beerlambert` x + n,    n ~ 𝒩(0, σ²)

world state x (chromophore concentration map)

→

L · absorb · beerlambert `L.absorb.beerlambert`

→

Spectral integration Σ_λ

→

observation y (photon detector)

Noise: additive Gaussian noise

Markdown — human-readable source of truth

⚙ auto-generated

⬇ L1-145.md

# ⚛ L1 Principle — UV-Vis Spectroscopy / Imaging (electronic absorption) **ID:** `L1-145` · **Status:** ⊙ Testnet (genesis catalog) > **🌐 Domain:** Spectroscopy — *Electronic-transition hyperspectral absorption* > **🎯 Problem class:** linear inverse absorption · **🧮 Solution space:** chromophore concentration map > **📡 Carrier:** photon · **🌫 Noise:** gaussian > **⚖ Difficulty (δ):** 1 · **⛓ Block:** 41554228 --- ## 🧠 1. Introduction **UV-Vis Spectroscopy / Imaging (electronic absorption)** is a **linear inverse absorption** whose unknown lives in **chromophore concentration map** space, within the **Electronic-transition hyperspectral absorption** sub-domain of **Spectroscopy**. Measurements consist of photons collected by an optical detector via a **electronic absorption** sensing mechanism. The forward operator applies, in order: L · absorb · beerlambert operator; detector sums all spectral bands. Observations are corrupted by additive Gaussian noise. Linear Beer-Lambert inverse; well-posed at low-to-moderate absorbance (<2 AU). Deviations at high A due to stray light, self-absorption. ## ⚙ 2. Forward Model Physical chain: **x** → L · absorb · beerlambert → Spectral integration → **y** (detector). ``` y = Σ_λ `L.absorb.beerlambert` x + n, n ~ 𝒩(0, σ²) ``` **Measurement DAG:** | Primitive | What it does | |---|---| | `L.absorb.beerlambert` | L · absorb · beerlambert operator | | `int.spectral` | Detector sums all spectral bands | ## 🔬 3. Physics Fingerprint | Property | Value | |---|---| | Domain | Spectroscopy | | Sub domain | Electronic-transition hyperspectral absorption | | Carrier | photon | | Problem class | linear_inverse_absorption | | Solution space | chromophore_concentration_map | | Noise model | gaussian | | Integration axis | spectral | | Difficulty delta | 1 | | L dag | 2 | ## 📡 4. Measurement Model Linear Beer-Lambert inverse; well-posed at low-to-moderate absorbance (<2 AU). Deviations at high A due to stray light, self-absorption. | Metric | Value | |---|---| | Metric | concentration_NMSE | | Secondary | classification_accuracy | ## 📏 5. Operating Range (Ω) **Center problem class:** `uvvis_concentration` · **Forward operator:** `beerlambert_uvvis` **Center point:** | Parameter | Unit | Value | |---|---|---| | K | — | 3 | | N lambda | — | 500 | | Stray light | — | 0.0001 | | Path length cm | — | 1 | | Scatter turbidity | — | 0 | **Allowed bounds:** | Parameter | Unit | Range | |---|---|---| | K | — | 1 – 20 | | N lambda | — | 50 – 5000 | | Stray light | — | 0.0 – 0.01 | | Baseline drift | — | 0.0 – 0.1 | | Path length cm | — | 0.01 – 10 | | Scatter turbidity | — | 0.0 – 1.0 | | Pure component uncertainty | — | 0.0 – 0.2 | ## 🎯 6. Tolerance (ε) **Center tolerance:** NMSE 1e-4 | Metric | Range | |---|---| | Nmse | 1e-06 – 0.1 | ## ⚖ 7. Hardness Function Hardness scales as **`epsilon_fn`** on **concentration_NMSE**, with κ = `50` and δ = `1`. ## 💾 8. Reference Dataset - **primary** · weight 1.0 · IPFS _(not pinned yet)_ ## 9. On-chain Registration - **Chain hash:** `0xf20509c5e5adef6ceb3eabe41e4c02a666fa8614dbeb3bf449958214ab5ef232` - **Chain tx hash:** `0x085bde6128035af783984abc9fdade10876a74309758775040104b4032c8571b` - **Chain block:** `41554228` --- ## File Mapping This bundle consists of: `L1-145.md`, `L1-145.json`. | File | Role | How to regenerate | |------|------|-------------------| | `L1-145.md` | Source of truth — edit this | Human or LLM | | `L1-145.json` | Structured metadata for the registry | LLM regenerates from the sections above | **Prompt for your LLM after editing this Markdown:** > Read the attached Markdown. Regenerate the sibling `.json` so every field matches. > Preserve the schema documented in the rows above. > Output each file in its own fenced code block tagged with the filename. > Output only the JSON object. _This Markdown was auto-synthesized from the catalog row for `L1-145`._ _Edit it, regenerate the JSON, and submit at [/submit](/submit) to claim the artifact._

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L2-145-001 UV-Vis Concentration Spec

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📋 JSON metadata

{
  "artifact_id": "L1-145",
  "chain_block": 41554228,
  "chain_hash": "0xf20509c5e5adef6ceb3eabe41e4c02a666fa8614dbeb3bf449958214ab5ef232",
  "chain_tx_hash": "0x085bde6128035af783984abc9fdade10876a74309758775040104b4032c8571b",
  "domain": "Spectroscopy",
  "hardness_fn": {
    "delta": 1,
    "kappa": 50,
    "metric": "concentration_NMSE",
    "type": "epsilon_fn"
  },
  "initiator_dataset": [
    {
      "ipfs_cid": null,
      "license_hash": null,
      "name": "primary",
      "weight": 1.0
    }
  ],
  "layer": "L1",
  "observable_profile": {
    "metric": "concentration_NMSE",
    "regime": "Linear Beer-Lambert inverse; well-posed at low-to-moderate absorbance (\u003c2 AU). Deviations at high A due to stray light, self-absorption.",
    "secondary": "classification_accuracy"
  },
  "physics_fingerprint": {
    "L_DAG": 2.0,
    "carrier": "photon",
    "difficulty_delta": 1,
    "domain": "Spectroscopy",
    "integration_axis": "spectral",
    "noise_model": "gaussian",
    "primitives": [
      "L.absorb.beerlambert",
      "int.spectral"
    ],
    "problem_class": "linear_inverse_absorption",
    "sensing_mechanism": "electronic_absorption",
    "solution_space": "chromophore_concentration_map",
    "sub_domain": "Electronic-transition hyperspectral absorption",
    "title": "UV-Vis Spectroscopy / Imaging (electronic absorption)"
  },
  "size_tiers": {
    "allowed_forward_operators": [
      "beerlambert_uvvis",
      "uvvis_imaging"
    ],
    "allowed_omega_dimensions": [
      "N_lambda",
      "K",
      "path_length_cm",
      "stray_light",
      "scatter_turbidity",
      "pure_component_uncertainty",
      "baseline_drift"
    ],
    "allowed_problem_classes": [
      "uvvis_concentration",
      "uvvis_classification",
      "blind_uvvis_demix"
    ],
    "center_spec": {
      "epsilon_fn_center": "NMSE 1e-4",
      "forward_operator": "beerlambert_uvvis",
      "input_format": "absorbance_spectrum",
      "omega": {
        "K": 3,
        "N_lambda": 500,
        "path_length_cm": 1.0,
        "scatter_turbidity": 0.0,
        "stray_light": 0.0001
      },
      "problem_class": "uvvis_concentration"
    },
    "epsilon_bounds": {
      "nmse": [
        1e-06,
        0.1
      ]
    },
    "omega_bounds": {
      "K": [
        1,
        20
      ],
      "N_lambda": [
        50,
        5000
      ],
      "baseline_drift": [
        0.0,
        0.1
      ],
      "path_length_cm": [
        0.01,
        10
      ],
      "pure_component_uncertainty": [
        0.0,
        0.2
      ],
      "scatter_turbidity": [
        0.0,
        1.0
      ],
      "stray_light": [
        0.0,
        0.01
      ]
    }
  },
  "staked_pwm": 0.0,
  "status": "testnet",
  "sub_domain": "Electronic-transition hyperspectral absorption",
  "title": "UV-Vis Spectroscopy / Imaging (electronic absorption)"
}

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