With solar, we're constantly working with tradoffs:
Lunt makes great equipment (consistent quality, easy to engage and work with) and I am happy with my setup but....
- Lunt telescopes with a smaller aperture (60-80mm) are best to capture the entire solar disk but more challenged in getting sufficient details when zooming onto surface features
- The LS100MT shines when zoomed onto surface features but gets finicky when trying to capture the entire solar disk due to the need to align the central monochromatic region of the 2 etalons,
known as the Jacquinot spot. On the edges of that sweet spot, light intensity gradients appear which make the image unbalanced.
Spectroheliographs make capturing the entire solar disk in all it glory rather easy, particularly with the help of the JSolEx program which generates a plethora of
additional images: doppler eclipses, negative images, annotated maps of the suns with all active regions, doppler images, etc... it feels like being in a candy store...
However, you cannot zoom in and get an image of the same fine detail quality as a Lunt or a good Coronado.
On the plus side, they are very inexpensive - clearly less than $1000.
On the minus side, learning to use them correctly will take time and practice.
Using a spectroheliograph:
Imaging with a spectroheliograph can require a fair amount of patience:
- Three collimation knobs must be adjusted on the unit itself:
- spectral line tuning
- camera/slit collimation
- ROI & vertical dust lines collimation
- telescope focuser
- ensuring a minimum "tilt" which requires aligning the SHG with the vertical axis of the telescope very precisely
- X/Y ratio, the most elusive tuning, which consists of adjusting the camera frame rate to the slew speed
- Another challenge is that the SharpCap histogram is of little use to help determine the right exposure
it takes some trial an error (JSolEx has an exposure calculator but I have found it unreliable).
You then manually scan along the RA axis and record while keeping JSolEx running to check the geometry, tilt and X/Y ratio
of the data just captured.
Some automation can be had via a python script running in SharpCap to capture the data and move the mount for you.
Ideally, you want to get 10 clean runs in as short a time as possible, stack them and get a decent set of images.
Warping can happen when either tilt and/or X/Y ratio are off.
Of course "seeing" and wind must cooperate.
This is what you see in SharpCap when you scan along the RA axis:
Below is the result of about 10 scans taken on the shores of lake Tahoe this past September.
Cool morning air, cloudless sky, looking east as the sun rises over cold water - perfect conditions.