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IS6-D-IR 7Z02490 Integrating Sphere

Updated:2025-03-13

Views:2821

  • Brand: OPHIR
  • Model: IS6-D-IR
  • Description: The IS6-D-IR is a 6” integrating spheres (5.3” inside) with a Germanium detector for use with divergent (D) beams. The IS6-D-IR comes with a IR detector, is calibrated from 700 to 1800nm and can measu
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Product Details

Overview of IS6-D-IR Integrating Sphere:

User's Manual

The IS6-D-IR is a 6” integrating spheres (5.3” inside) with a Germanium detector for use with divergent (D) beams. The IS6-D-IR comes with a IR detector, is calibrated from 700 to 1800nm and can measure up to 30W.

IS6-D-IR integrating sphere drawing:

Main parameters:

Aperture ?26mm
Spectral Range 700-1800nm
Power Range 20μW-30W
Dimensions ?154 (mm)
Max Pulse Energy 0.3mJ
Max Average Power Density 1 kw/cm2
Max Average Power 30W
Max Beam Divergence ±60 deg
Sensitivity to Beam Divergence ±3%

Problem summary:

Combination of error and total error

The accuracy and calibration errors published by Ophir are usually 2 Sigma or K=2 errors, or recognized statistical analysis based on protective tape is used. This means that the system error of measurement will not exceed the specified error in 95% of cases. If the specified error is ± 3%, the error will not exceed 3% in 95% cases and 4% in 99% cases. In a very bad case, the total expected error is the sum of various contribution errors.

If sensors are sent for recalibration, a large number of sensors may show that the difference between the first and second calibrations is greater than the specified error. This is because the error may be - 2% for the first calibration of the sensor and+2% for the second calibration. Both times, the sensor is within the specified error range of ± 3%, but it will display 4% changes before and after.

If working at the maximum power or pulse rate less than 70%, it can be assumed that the linear error is random. If the beam is not larger than 1/4 of the aperture and centered, the uniformity error can be ignored. In this case, a statistical combination of errors can be used to calculate the expected total error.

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