What happens after I drop a DLTS file?
The measurement file is parsed into DLTS rows and converted into graphs. From there, the workspace helps you review DLTS Spectrum, Trap Summary, and Data Review evidence.
Deep-Level Transient Spectroscopy
DLTS Analysis
Convert DLTS temperature-sweep files into graphs, then review DLTS Spectrum, Trap Summary, and Data Review workflows in one workspace.
Supported formats
.csv, .txt, .dat, .tsv
Available analysis features
- DLTS Spectrum
Use temperature and DLTS signal columns to compare temperature-dependent signal changes and review peak polarity as trap-response evidence.
DLTS Spectrum review depends on mapped temperature and signal columns; check signal polarity and temperature coverage before comparing trap responses.
- Trap Summary
Extract first-pass peak candidates from the DLTS signal and summarize peak temperature, signal magnitude, rate-window evidence, and emission-rate metadata.
Trap Summary is first-pass peak screening, not quantitative trap extraction; review peak temperature, rate-window evidence, and emission metadata.
- Data Review
Review parsed rows, mapped columns, temperature range, rate-window count, and canonical readiness before trusting peak candidates.
Data Review is the readiness check for DLTS screening; confirm mapped columns, row count, rate-window metadata, and canonical status.
What this tool can review
- Temperature-sweep graph
Load CSV/TXT/DAT/TSV DLTS rows and review the source signal against temperature or time where the source file provides those columns.
- DLTS Spectrum
Compare DLTS signal versus temperature and inspect the signal polarity and peak region used for first-pass trap-response screening.
- Trap Summary
Summarize primary peak candidates with peak temperature, signal value, rate-window count, and emission-rate metadata when available.
- Data Review
Keep parsed rows, mapped columns, temperature range, rate-window metadata, and canonical validation evidence visible before export.
Typical use cases
- Review DLTS temperature-sweep signals before trap-analysis interpretation.
- Screen primary peak candidates from DLTS signal versus temperature data.
- Check rate-window count and emission-rate metadata when those columns are present.
- Confirm mapped columns, numeric row count, and canonical readiness before comparing files.
FAQ
Does this calculate activation energy or trap density?
The current public workflow covers spectra, peak candidates, mapped columns, and rate-window metadata. Quantitative Arrhenius extraction is outside this public workflow.
How are my measurement files handled?
Files uploaded to this analysis tool are processed in the current browser session for graph conversion and analysis. The tool does not send files outside or save them without user permission.
Supported workflow
- Graph Conversion turns supported DLTS text-style files into source signal and temperature-spectrum graph views.
- DLTS Spectrum compares signal versus temperature and keeps peak-polarity evidence visible.
- Trap Summary reports primary peak candidates, peak temperature, signal magnitude, rate-window count, and emission-rate metadata as screening values.
- Data Review keeps parsed rows, mapped columns, temperature range, and canonical readiness visible before comparing or exporting results.