Expected HFR Matrix

Predicted NINA-style HFR in pixels for each telescope and sensor, from seeing, diffraction, guiding and pixel size. Tap a cell for the full breakdown.

2.5″
Typical conditions
0.50″
HFR definition
Binning
Undersampled (FWHM < 2 px) Well sampled (2–5 px) Oversampled (> 5 px) Big number = HFR px · small = FWHM px · MP in each column header updates with binning

Your equipment

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Brands

    Manufacturer focal lengths, plus the matching reducer or flattener where one is sold. Entries marked ≈ are aperture × focal ratio where the maker doesn't publish a focal length. Plate-solve your own rig for exact numbers.

    Telescopes
      Cameras
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        Cameras by sensor

        SensorPixelZWOPlayer One
        IMX1832.40 µmASI183MM Pro, ASI183MC ProNo model
        IMX492 (294 mono)4.63 µm bin2
        2.315 µm bin1
        ASI294MM ProArtemis-M Pro
        IMX294 (294 color)4.63 µmASI294MC ProArtemis-C Pro
        IMX571 (2600)3.76 µmASI2600MM Pro, ASI2600MC Pro (and Duo/Air)Poseidon-M Pro, Poseidon-C Pro
        IMX410 (2400)5.94 µmASI2400MC Pro (color only)No model
        IMX455 (6200)3.76 µmASI6200MM Pro, ASI6200MC ProZeus 455M Pro, Zeus 455C Pro
        IMX5852.90 µmASI585MM Pro, ASI585MC ProUranus-M/C (Pro), Xena 585M

        Model

        scale″/px   = 206.265 × pixel_µm / focal_mm
        diff″       = 1.03 × λ / D × 206265            (Airy FWHM, obstruction ignored)
        guide″      = 2.355 × guiding_RMS              (RMS → FWHM)
        pixel″      = 0.68 × scale                     (square-pixel blur, 2.355/√12)
        FWHM″       = √(seeing² + diff² + guide² + pixel²)
        HFR_true″   = FWHM / 2                         (Gaussian star)
        HFR_NINA″   = 1.0645 × FWHM / 2                (flux-weighted mean radius)
        HFR_px      = HFR″ / scale