lfa_temperature_traces.csv
Shuffled detector points keyed by run, sample, point index, and time.
Materials characterization · Hard
Thermal transport from laser-flash curves
Reassemble shuffled temperature-rise traces, judge curve quality from their shapes, and carry accepted runs through thermal diffusivity, conductivity, and sample-level statistics.
12 runslaser-flash measurements
3 samples0%, 10%, and 20% BN
260points in each trace
8 filesrequired in the handoff
What the agent receives
sample_metadata.csv
BN loading, replicate number, thickness, density, heat capacity, temperature, and coating status.
analysis_config.json
Declared processing and summary conventions needed for a reproducible handoff.
Curve-shape evidence
Rise timing, amplitude, and tail behavior must support QC decisions; run names do not reveal anomalies.
Required workflow
Restore run order
Group every detector point by run and sort the shuffled records by their stable point index.
Process and inspect curves
Estimate baseline and rise characteristics, then record transparent reasons for accepting or rejecting each run.
Calculate thermal properties
Combine accepted timing metrics with thickness, density, and heat capacity while retaining units and run provenance.
Reconcile summaries
Ensure processed points, run-level results, sample statistics, figures, and report use the same accepted-run set.
Artifact contract
analysis.pytrace_qc_log.csvthermal_diffusivity_by_run.csvsample_thermal_summary.csvprocessed_lfa_points.csvlfa_traces.pngthermal_conductivity_summary.pnglfa_report.md