LaserWavelengthAndPowerStabilityChecker
Laser Wavelength & Power Stability Checker
Utility description: Laser Wavelength & Power Stability Checker
Laser Wavelength & Power Stability Checker — Laser Wavelength and Power Stability Analyzer
ℹ️ Utility controls laser parameters for optical pumping:
• Wavelength accuracy (atomic transition match)
• Power stability (noise absence)
• Thermal drift
⚠️ CRITICAL: Wavelength shift of just 0.1 nm drastically reduces efficiency!
Lasers must be precisely tuned to Rubidium D1 absorption line.
Usage:
LaserWavelengthAndPowerStabilityChecker.exe → demo mode (console output)
LaserWavelengthAndPowerStabilityChecker.exe input.csv output.json → evaluate your data
Input format:
BatchNumber,ProductName,Center_Wavelength_nm,Target_Wavelength_nm,Output_Power_W,Target_Power_W,Wavelength_Drift_nm,Power_Fluctuation_Percent,Max_Drift_nm,Max_Fluct_Percent
Example:
LASER-2026-001,Rb-D1 Array,794.72,794.70,100.5,100.0,0.05,1.2,0.1,2.0
— WHY IS THIS NEEDED?
Laser control is critical for SEOP (Spin-Exchange Optical Pumping) process:
• Xenon polarization occurs via spin transfer from optically pumped rubidium
• Laser must be precisely tuned to rubidium D1 transition resonant frequency (~794.7 nm)
• Any wavelength deviation (drift) leads to exponential drop in pumping efficiency
• Power fluctuations create noise in gas polarization level
• Diode overheating causes irreversible degradation and spectrum shift
⚠️ CRITICAL:
• Wavelength accuracy ≤0.1 nm from target peak
• Power stability ≤2% (RMS)
• Diode temperature control (TEC) to prevent drift
• Regular spectrometer calibration
Key features:
• Wavelength match monitoring to atomic transition
• Output power stability analysis over time
• Thermal drift and diode degradation detection
• Support for multi-diode arrays (stacks)
Critical parameters:
• Wavelength Error: ≤0.1 nm
• Power Fluctuation: ≤2%
• Wavelength Drift: ≤0.1 nm
💡 Usage tips:
1. Use Fiber Bragg Gratings (FBG) for wavelength stabilization
2. Control laser housing temperature with 0.1°C precision
3. Perform laser warm-up for at least 30 minutes before polarization start
4. Monitor output power degradation as diode aging indicator
5. Use power feedback loop to compensate for aging
⚠️ Note: Unlike standard medical lasers, here not only power matters, but its spectral match with narrow atom absorption line. Error in nanometers makes entire setup useless. The utility ensures this precision control.input.csv
BatchNumber,ProductName,Center_Wavelength_nm,Target_Wavelength_nm,Output_Power_W,Target_Power_W,Wavelength_Drift_nm,Power_Fluctuation_Percent,Max_Drift_nm,Max_Fluct_Percent LASER-2026-001,Rb-D1 Pumping Array,794.72,794.70,100.5,100.0,0.05,1.2,0.1,2.0 LASER-2026-002,High-Power Diode Stack,794.85,794.70,150.0,150.0,0.25,3.5,0.1,2.0 LASER-2026-003,Stabilized Laser Module,794.70,794.70,99.8,100.0,0.01,0.5,0.1,2.0
URS & FS — user requirements and functional specification
URS & FS — User Requirements and Functional Specification
This document defines the controlled interface and behaviour of LaserWavelengthAndPowerStabilityChecker for “Laser Wavelength & Power Stability Checker”. Limits from the source description are an initial configuration and shall be reconciled with the approved specification, study protocol, equipment instructions and local SOPs before production use.
Domain constraints and critical parameters
- Wavelength Error: ≤0.1 nm
- Power Fluctuation: ≤2%
- Wavelength Drift: ≤0.1 nm
URS — User Requirements Specification
| ID | Requirement | Criticality | Acceptance criterion |
|---|---|---|---|
| URS-001 | The utility shall accept input.csv with the exact headers defined by the data contract. | High | The file is processed without manual header renaming. |
| URS-002 | The utility shall perform a deterministic assessment for “Laser Wavelength & Power Stability Checker”. | High | PASS / WARNING / FAIL is produced for each row. |
| URS-003 | Required fields, types, ranges, units and data consistency shall be validated before domain rules. | High | Schema errors are separated from nonconformities. |
| URS-004 | Critical limits from the description and approved local configuration shall create a critical finding. | High | A critical rule violation results in FAIL. |
| URS-005 | The result shall be written to machine-readable output.json. | High | JSON contains source values, checks, warnings and failures. |
| URS-006 | The conformity decision shall not use machine learning. | Medium | The result is reproducible from explicit rules and inputs. |
| URS-007 | Traceability of batch, source file, rule version and final status shall be retained. | High | QA/QC can reproduce the decision. |
| URS-008 | The utility shall have exactly one primary portal tag: instrumental. | Medium | The other api / instrumental / medical_devices tags are absent. |
| URS-009 | Documentation shall support IQ/OQ/PQ or equivalent CSA/CSV verification. | Medium | The contract, test scenarios and change-control rules are supplied with the utility. |
input.csv data contract
| # | Field | Type | Unit | Sample | Purpose |
|---|---|---|---|---|---|
| 1 | BatchNumber | string | as specified | LASER-2026-001 | Batch/lot identifier for traceability. |
| 2 | ProductName | string | as specified | Rb-D1 Pumping Array | Name of the controlled product, gas, procedure or equipment. |
| 3 | Center_Wavelength_nm | decimal | nm | 794.72 | Controlled input.csv field: Center Wavelength nm. |
| 4 | Target_Wavelength_nm | decimal | nm | 794.70 | Controlled input.csv field: Target Wavelength nm. |
| 5 | Output_Power_W | decimal | W | 100.5 | Controlled input.csv field: Output Power W. |
| 6 | Target_Power_W | decimal | W | 100.0 | Controlled input.csv field: Target Power W. |
| 7 | Wavelength_Drift_nm | decimal | nm | 0.05 | Controlled input.csv field: Wavelength Drift nm. |
| 8 | Power_Fluctuation_Percent | decimal | % | 1.2 | Controlled input.csv field: Power Fluctuation Percent. |
| 9 | Max_Drift_nm | decimal | nm | 0.1 | Controlled input.csv field: Max Drift nm. |
| 10 | Max_Fluct_Percent | decimal | % | 2.0 | Controlled input.csv field: Max Fluct Percent. |
BatchNumber,ProductName,Center_Wavelength_nm,Target_Wavelength_nm,Output_Power_W,Target_Power_W,Wavelength_Drift_nm,Power_Fluctuation_Percent,Max_Drift_nm,Max_Fluct_Percent LASER-2026-001,Rb-D1 Pumping Array,794.72,794.70,100.5,100.0,0.05,1.2,0.1,2.0 LASER-2026-002,High-Power Diode Stack,794.85,794.70,150.0,150.0,0.25,3.5,0.1,2.0 LASER-2026-003,Stabilized Laser Module,794.70,794.70,99.8,100.0,0.01,0.5,0.1,2.0
FS — Functional Specification
| ID | Function | Implementation |
|---|---|---|
| FS-001 | CLI execution | LaserWavelengthAndPowerStabilityChecker.exe supports demo mode and input.csv output.json mode. |
| FS-002 | CSV import | Read UTF-8 CSV and validate header, column count and order. |
| FS-003 | Schema validation | Validate required values, empties, types and basic plausibility. |
| FS-004 | Domain rule engine | Apply explicit rules for “Laser Wavelength & Power Stability Checker” and locally approved limits. |
| FS-005 | Status aggregation | FAIL for a critical finding; WARNING for a non-critical deviation; PASS for conformity. |
| FS-006 | JSON export | Write source values, applied rules, statuses, warnings, failures and configuration version. |
| FS-007 | Audit support | Retain a result structure suitable for review, investigation, IQ/OQ and change control. |
| FS-008 | Integration contract | LIMS/ELN/MES or an instrument wrapper creates CSV; the utility returns JSON. |
output.json example
{
"utilityId": "laser-wavelength-and-power-stability-checker",
"primaryTag": "instrumental",
"overallStatus": "PASS|WARNING|FAIL",
"sourceFile": "input.csv",
"checks": [
{
"parameter": "BatchNumber",
"value": "LASER-2026-001",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "ProductName",
"value": "Rb-D1 Pumping Array",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Center_Wavelength_nm",
"value": "794.72",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Target_Wavelength_nm",
"value": "794.70",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Output_Power_W",
"value": "100.5",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Target_Power_W",
"value": "100.0",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Wavelength_Drift_nm",
"value": "0.05",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
},
{
"parameter": "Power_Fluctuation_Percent",
"value": "1.2",
"status": "PASS|WARNING|FAIL",
"message": "Rule-based check result"
}
],
"warnings": [],
"criticalFindings": []
}
OQ/PQ test scenarios
| ID | Scenario | Expected result |
|---|---|---|
| OQ-001 | Valid example row | PASS or an allowed WARNING under local rules. |
| OQ-002 | Required column missing | Schema error; domain checks do not mask it. |
| OQ-003 | Non-numeric value in numeric field | Type-conversion error. |
| OQ-004 | Critical parameter outside its limit | FAIL and a critical finding. |
| OQ-005 | Boundary value | The result follows the configured ≤ / ≥ / < / > operator. |
| PQ-001 | Real site data | Agreed QA/QC review retaining CSV, JSON, version and checksum. |
QA/QC and change control
- Do not change column names without updating the validator, documentation and test set.
- Retain input.csv, output.json, executable version, rule version and checksums.
- Before production use, verify local limits and execute IQ/OQ/PQ or equivalent CSA.
- Changes affecting patient safety, dosimetry, gas composition, polarization or equipment require documented impact assessment.
Included in packages
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