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49-070 25 mm Dia. NIR Metallic Based Neutral Density Filter; OD 0.9 700-1100nm

49-070 25 mm Dia. NIR Metallic Based Neutral Density Filter; OD 0.9 700-1100nm

Type
Filter
Subtype
Neutral Density Filter
Brand
Edmund Optics
Product webpage
Edmund Optics products in the 3DOptix catalog

Properties

Shape
Circular
Diameter
25 mm

Material

Name
UVFS
Dispersion Equation
Sellmeier
n (λ)
1.458448271212196
λ
588 nm
B1
0.6961663
C1
0.004679148 μm2
B2
0.4079426
C2
0.013512063 μm2
B3
0.8974794
C3
97.93400254 μm2

49-070 25 mm Dia. NIR Metallic Based Neutral Density Filter; OD 0.9 700-1100nm

The 49-070 is a 25 mm diameter Neutral Density Filter, specifically designed for use in the Near-Infrared (NIR) spectrum with a wavelength of 588nm. This filter is manufactured by Edmund Optics, a leading provider of optical components. The filter is part of their extensive catalog, which includes a wide variety of optical elements from different vendors worldwide.

The filter is circular in shape and has a base material identified as "uvfs mal- 1965". It features a neutral density of 0.9, which is designed to reduce the intensity of light without altering its color balance. This makes it an ideal choice for applications where light intensity needs to be controlled, such as in photography, laser applications, and scientific research.

The filter has a diameter of 25mm and a thickness of 3mm, making it suitable for use in a variety of optical systems. The coating on both the front and back surfaces of the filter is "edm 49-068", which is likely a proprietary coating developed by Edmund Optics to enhance the performance and durability of their filters.

The filter is designed with a thin lens shape, which helps to minimize optical aberrations and distortions. This is particularly important in applications where high precision and accuracy are required.

The 49-070 filter is currently in stock and available for purchase through the Edmund Optics website. The website link provided in the item data is valid and directs to the product page for this filter.

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