IDAS Galaxy and Nebula Booster Filter
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 IDAS Galaxy and Nebula Booster FilterIDAS Galaxy and Nebula Booster Filter 

IDAS Galaxy and Nebula Booster Filter

£269.00✓ 2 year warranty
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About this product

Model:  idas_gnb_2
Part Number:  GNB M48ST2

IDAS GNB - Galaxy and Nebula Filter

This filter is designed for One Shot Colour cameras.

Simultaneously captures NIR and Ha/OIII data.

Note: the camera's optical window must pass the NIR.

Filter thickness: 2mm

Available in 1.25",2",M52 or ZF sizes.

ZF is a T2 drop-in format that will work with cameras like the ZWO ASI533 and ASI294.

IDAS ZF Filter for ZWO installation manual pdf

 

Features

The IDAS GNB filter passes both the Ha and OIII regions in the same manner as of the IDAS NBZ to suppress light pollutions in the visible light regions. Unlike any other filters available in the market, the GNB at the same time passes through the near infrared region intended for shooting galaxies that cannot be shot with any comventional nebula filters. The idea of designing this filter is based on the fact that the near infrared region can be hardly affected by artifical light pollution sources.

Notes:
IDAS recommends use with a NIR-enhanced sensor such as IMX585 and IMX464 especially where the GNB is used in a heavly light-polluted location.
The GNB filter will enhance the colourfulness of galaxies when used with a conventional sensor (such as IMX294).

Halo's
Optical filters such as the IDAS GNB and DTD utilising infrared tend to cause haloing in the NUV and NIR regions. This is because the anti-reflection properties of off-the-shelf cameras' optical systems (optical window and sensor cover glass) are optimised for the visible spectrum only, not for the NIR region. Thus, haloing at the camera end in the unoptimised region becomes more apparent, coupled with haloing from the filter itself.
Here is a rough estimation of the magnitude of haloing where the haloing magnitude of NBZ (NBZex) is counted as 1:
GNB + IMX294 sensor results in 8.0 times
GNB + IMX585 sensor results in 6.3 times

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