Purpose and learning objectives
L07-L08 · optical depth and formal solution. This investigation develops a numerical method and tests its output against a declared benchmark, invariant, uncertainty model, or independent implementation.
- Run a specified scientific workflow from the pinned environment.
- Measure an explicit numerical or statistical diagnostic with units and provenance.
- Separate numerical error from physical model discrepancy and interpret a limitation.
Preparation, setup, and inputs
Software: CPython 3.14.6; dependencies in requirements.txt. From repository root run .venv/Scripts/python.exe materials/ASTR474/src/astr474_computations.py. Then use the corresponding CSV/JSON under materials/ASTR474/data/generated/. Required data: generated/computed_results.json.
Apparatus: computer with local CPU, terminal, text editor, and browser; no telescope, GPU, network account, or paid service is required. Preserve the generated input files and record file hash/version.
Model scope: The uniform slab is a synthetic controlled transfer benchmark; no atmosphere or observed spectrum is claimed.
Procedure
- Implement dI/dtau=S-I with I(0)=0.2 and S=0.7 using SciPy DOP853.
- Evaluate tau=0.01, 0.1, 1, and 5; compare each numerical result with the analytic constant-source solution.
- Compute the optically thin first-order approximation from the same boundary data and plot relative error versus tau.
- Vary source function and incoming intensity; identify any condition where a relative-error denominator makes the metric misleading.
- Submit a short validity statement with a declared tolerance and optical-depth range.
Measurement record
| Quantity | Value or field | Unit/convention | Source/method |
|---|---|---|---|
| Input configuration | Record solver, version, seed, timestep/grid/tolerance | As defined by the experiment | Command line and source file |
| Primary diagnostic | Record every resolution/sample/fit row, not just the preferred result | State units and normalization | Generated CSV/JSON |
| Independent reference | For the first-order thin approximation, relative intensity error is 0.000122 at tau=0.01 and 2.88 at tau=5; the tolerance defines whether either is acceptable. | As stated in the generated example | Analytic/JPL/invariant cross-check |
| Uncertainty/sensitivity | Repeat with changed resolution, seed, parameter, or method | Report interval or relative change | Student analysis |
Analysis and uncertainty
Perturb tau and source function over stated ranges; distinguish numerical solver tolerance from approximation error.
Plot the diagnostic against the controlled parameter; label axes, units, normalization, and reference. Explain any non-monotonic point rather than smoothing or dropping it. If propagating independent errors, state why independence is plausible; preserve correlated/common-mode terms separately.
Deliverables and assessment
- Runnable source or notebook export with command, package versions, and all input/output paths.
- One scientific figure plus a machine-readable table of measurements and convergence/sampling/residual diagnostics.
- A 700-1000 word technical report describing model, method, validation, uncertainty categories, and one failed assumption.
- A short claim-evidence table separating result, numerical check, and domain limitation.
Rubric: 30% correct method and setup; 25% validation and numerical diagnostics; 20% uncertainty/provenance; 15% physical interpretation; 10% clarity and reproducibility. Revisions and resubmissions are encouraged under the syllabus mastery policy.
Data and source provenance
The uniform slab is a synthetic controlled transfer benchmark; no atmosphere or observed spectrum is claimed. Provenance levels, request records, and source verification limits are documented in reference-log.md; generated files and seeds are documented in data/README.md.
References:
- NumPy 2.5 documentation, random Generator
- SciPy 1.18 documentation, solve_ivp
- SciPy 1.18 documentation, least_squares
- Astropy 8.0.1 documentation, units and constants
- REBOUND documentation, WHFast and units
- NASA/JPL Horizons API documentation
- Rein & Liu 2012, REBOUND: An open-source multi-purpose N-body code for collisional dynamics, A&A 537, A128
- Rein & Tamayo 2015, WHFast, MNRAS 452, 376-388