LaserWavelengthAndPowerStabilityChecker

Laser Wavelength & Power Stability Checker

instrumental Hyperpolarized Xenon RPH Xe-129 medical gases CSV→JSON URS & FS rule-based
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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

IDRequirementCriticalityAcceptance criterion
URS-001The utility shall accept input.csv with the exact headers defined by the data contract.HighThe file is processed without manual header renaming.
URS-002The utility shall perform a deterministic assessment for “Laser Wavelength & Power Stability Checker”.HighPASS / WARNING / FAIL is produced for each row.
URS-003Required fields, types, ranges, units and data consistency shall be validated before domain rules.HighSchema errors are separated from nonconformities.
URS-004Critical limits from the description and approved local configuration shall create a critical finding.HighA critical rule violation results in FAIL.
URS-005The result shall be written to machine-readable output.json.HighJSON contains source values, checks, warnings and failures.
URS-006The conformity decision shall not use machine learning.MediumThe result is reproducible from explicit rules and inputs.
URS-007Traceability of batch, source file, rule version and final status shall be retained.HighQA/QC can reproduce the decision.
URS-008The utility shall have exactly one primary portal tag: instrumental.MediumThe other api / instrumental / medical_devices tags are absent.
URS-009Documentation shall support IQ/OQ/PQ or equivalent CSA/CSV verification.MediumThe contract, test scenarios and change-control rules are supplied with the utility.

input.csv data contract

#FieldTypeUnitSamplePurpose
1BatchNumberstringas specifiedLASER-2026-001Batch/lot identifier for traceability.
2ProductNamestringas specifiedRb-D1 Pumping ArrayName of the controlled product, gas, procedure or equipment.
3Center_Wavelength_nmdecimalnm794.72Controlled input.csv field: Center Wavelength nm.
4Target_Wavelength_nmdecimalnm794.70Controlled input.csv field: Target Wavelength nm.
5Output_Power_WdecimalW100.5Controlled input.csv field: Output Power W.
6Target_Power_WdecimalW100.0Controlled input.csv field: Target Power W.
7Wavelength_Drift_nmdecimalnm0.05Controlled input.csv field: Wavelength Drift nm.
8Power_Fluctuation_Percentdecimal%1.2Controlled input.csv field: Power Fluctuation Percent.
9Max_Drift_nmdecimalnm0.1Controlled input.csv field: Max Drift nm.
10Max_Fluct_Percentdecimal%2.0Controlled 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

IDFunctionImplementation
FS-001CLI executionLaserWavelengthAndPowerStabilityChecker.exe supports demo mode and input.csv output.json mode.
FS-002CSV importRead UTF-8 CSV and validate header, column count and order.
FS-003Schema validationValidate required values, empties, types and basic plausibility.
FS-004Domain rule engineApply explicit rules for “Laser Wavelength & Power Stability Checker” and locally approved limits.
FS-005Status aggregationFAIL for a critical finding; WARNING for a non-critical deviation; PASS for conformity.
FS-006JSON exportWrite source values, applied rules, statuses, warnings, failures and configuration version.
FS-007Audit supportRetain a result structure suitable for review, investigation, IQ/OQ and change control.
FS-008Integration contractLIMS/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

IDScenarioExpected result
OQ-001Valid example rowPASS or an allowed WARNING under local rules.
OQ-002Required column missingSchema error; domain checks do not mask it.
OQ-003Non-numeric value in numeric fieldType-conversion error.
OQ-004Critical parameter outside its limitFAIL and a critical finding.
OQ-005Boundary valueThe result follows the configured ≤ / ≥ / < / > operator.
PQ-001Real site dataAgreed 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.

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