--- name: rounding description: > Use this skill when applying rounding and uncertainty conventions in nuclear data evaluation. argument-hint: [source.ens] [adopted.ens] --- # Rounding and Uncertainty Conventions **Context:** Nuclear physics data evaluation. **Objective:** Standardize the successive rounding protocols for general calculated values and their associated uncertainties. ## 1. Core Methodology: Successive (Sequential) Rounding All rounding operations must employ a **Successive Rounding** (step-wise) methodology. * **Directionality:** Process values digit-by-digit, starting from the rightmost decimal place and moving strictly leftward. * **Dependency:** Each rounding step depends on the immediate right-adjacent digit produced by the preceding step. ## 2. General Calculated Values: Standard Round Half-Up (5-Up) Apply the 5-Up threshold convention for all general data values (excluding uncertainties). | Action | Trigger Digits | Effect on Preceding (Left) Digit | | :--- | :---: | :--- | | **Round Down** | `0, 1, 2, 3, 4` | Truncated; preceding digit remains unchanged. | | **Round Up** | `5, 6, 7, 8, 9` | Truncated; preceding digit increments by $+1$. | ### 2.1. Application Examples (General Values) * **$0.344 \rightarrow 0.3$** * *Step 1:* Rightmost `4` rounds down $\rightarrow 0.34$ * *Step 2:* Next `4` rounds down $\rightarrow 0.3$ * **$0.345 \rightarrow 0.4$** * *Step 1:* Rightmost `5` rounds up $\rightarrow 0.35$ * *Step 2:* New `5` rounds up $\rightarrow 0.4$ ## 3. Uncertainty Values: Conservative Rounding (4-Up) Apply a modified 4-Up threshold convention strictly for uncertainty digits. | Action | Trigger Digits | Effect on Preceding (Left) Digit | | :--- | :---: | :--- | | **Round Down** | `0, 1, 2, 3` | Truncated; preceding digit remains unchanged. | | **Round Up** | `4, 5, 6, 7, 8, 9` | Truncated; preceding digit increments by $+1$. | * **Rationale:** Standard rounding can artificially deflate uncertainty. The 4-up rule acts as a conservative safeguard to prevent the overstatement of measurement precision. ### 3.1. Precision Alignment Rule The final reported general value **must** be rounded to match the exact decimal place of the least significant digit of the rounded uncertainty. ### 3.2. Application Examples (Value + Uncertainty) * **$100.00(333) \rightarrow 100.0(33)$** * Rightmost `3` in uncertainty rounds down. Uncertainty becomes `33`. Final value aligns to the tenths place. * **$100.00(334) \rightarrow 100.0(34)$** * Rightmost `4` in uncertainty rounds up. Uncertainty becomes `34`. Final value aligns to the tenths place. ## 4. Limitations and Methodological Bias When applying or evaluating these conventions, LLMs must account for the following inherent limitations and subjective field practices: * **Residual Precision Overstatement:** While the 4-Up rule is conservative, rounding down digits `0-3` still mathematically truncates uncertainty, introducing a slight overstatement of precision. * **Evaluator Inconsistency:** Nuclear data evaluators do not utilize a globally unified threshold for uncertainty. * *Variant:* Some evaluators employ an even more conservative **"3-Up, 2-Down"** rule. * *Resolution:* These discrepancies are recognized subjective preferences in data evaluation rather than definitive errors. Process data according to the prescribed 4-Up rule unless a specific dataset mandates the 3-Up variant.