File size: 4,744 Bytes
a48f2b1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 | # PRBench Task Configuration
# Each paper has one task.yaml that contains ALL task-specific information.
# Agent code is fully generic and reads everything from this file.
task_id: task_fu_2001
# --- Paper Info ---
paper:
title: "Classical collisional trajectories as the source of strong-field double ionization of helium in the knee regime"
author: "L. B. Fu, J. Liu, J. Chen, S. G. Chen"
doi: "10.1103/PhysRevA.63.043416"
year: 2001
paper_file: "fu2001.md" # relative to task dir
# --- Files ---
instruction_file: "instruction.md" # what the white agent receives (no ground truth)
metadata_file: "metadata.md" # ground truth formulas + methodology (for grading)
ground_truth_data_dir: "data" # directory with reference CSV files
ground_truth_code_dir: "reproduction"
# --- Expected Outputs (what the white agent must produce) ---
expected_outputs:
analysis:
- "reproduction/ANALYSIS.md"
code:
- "reproduction/fig3_knee_structure.py"
data:
- "data/fig3_knee_structure.csv"
# --- Docker Environment ---
docker:
image: "python:3.11-slim"
memory_limit: "4g"
timeout: 21600 # 6 hours max (Monte Carlo over 13 intensity points)
pip_install:
- numpy
- scipy
- matplotlib
# --- Grading Rubric (for model-judge) ---
grading:
dimensions:
- name: "methodology_understanding"
weight: 0.20
description: >
Does the agent's ANALYSIS.md correctly describe the quasistatic CTMC model,
ADK tunneling rate, microcanonical distribution for the inner electron,
Kustaanheimo-Stiefel regularization, and ionization classification?
Compare against metadata.md.
- name: "code_correctness"
weight: 0.15
description: >
Is the CTMC implementation correct? Check laser field envelope, ADK weight
computation, KS regularization, adaptive RK integration, and SI/DI classification
based on single-particle energies.
- name: "data_accuracy"
weight: 0.50
description: >
How well does the generated CSV match the ground truth reference data?
CTMC is stochastic so allow factor-of-3 relative tolerance on individual points.
Key checks: He2+/He+ ratio plateau at ~0.002 for I > 1e15 W/cm2,
monotonically increasing DI yield, correct qualitative knee structure.
- name: "completeness"
weight: 0.15
description: >
Is the CSV file, the code file, and the ANALYSIS.md present?
Is the data file non-trivial (13 rows, correct column names)?
# --- Code-Only Evaluation Mode ---
code_only:
instruction_suffix: |
## IMPORTANT: Code-Only Mode
In this task you are in **code-only mode**. You must:
1. Read and analyze the paper
2. Write `reproduction/ANALYSIS.md` with your methodology analysis
3. Implement ALL code files under `reproduction/`
4. **DO NOT** run the Monte Carlo simulation or generate CSV data files
5. Focus on writing correct, complete, and well-structured code
Your deliverables are ONLY the analysis document and code files.
Do NOT produce any CSV data files.
expected_outputs:
analysis:
- "reproduction/ANALYSIS.md"
code:
- "reproduction/fig3_knee_structure.py"
grading:
dimensions:
- name: "methodology_understanding"
weight: 0.25
description: >
Does ANALYSIS.md correctly describe the two-step CTMC model:
ADK tunneling (Step 1) and classical trajectory propagation (Step 2)?
Are the KS regularization and microcanonical sampling correctly described?
- name: "code_correctness"
weight: 0.50
description: >
Read the code carefully. Check whether the implementation is
physically and algorithmically correct:
- Total potential: V = -Z/r1 - Z/r2 + 1/|r1-r2| + (r1+r2)·F(t)
- Laser field: F(t) = a(t)*F*cos(omega*t) with flat-top + cos^2 ramp
- Microcanonical sampling at E2 = -2 a.u.
- ADK weight: w = w^(0) * w^(1) where w^(1) has Gaussian transverse factor
- KS map: x = u1^2-u2^2-u3^2+u4^2, etc., with dt/ds = r
- SI: E1>0 AND E2<0; DI: E1>0 AND E2>0
- Yield: weighted sum DI/all
Compare against ground truth formulas in metadata. Flag any bugs.
- name: "code_quality"
weight: 0.10
description: >
Is the code well-structured and readable? Is the CTMC pipeline
clearly separated into laser, sampling, propagation, and classification modules?
- name: "completeness"
weight: 0.15
description: >
Are the code file and the ANALYSIS.md present and non-trivial?
|