ChatGPT for astro night planing or advise on selecting a target for a night

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Dennis H. avatar

Good afternoon,

I would like to ask, if anyone is using ChatGPT for planing an astro night or for selecting a target. What is your experience with ChatGPT and astro nights planing?

I was using skytools in the past, which is a great tool, but sometimes I just need a quick advice for selecting a DSO for the night. I was using ChatGPT to review and comment on my data from the FWHMEccentricity-Prozess and I was surprised about the feedback which I received, so I am using more and more ChatGPT now.

Thanks for your feedback!

Clear sky’s,

Dennis

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Salvatore Iovene avatar
Erik Westermann avatar

How about telescopius.com?

Tommy Mastro avatar

I’m using the “Pro” version for planning and so far, so good. I really like that it makes recommendations as to whether I should image in broadband (LRGB) or Narrowband (SHO, HOO, HSO, etc.) and it goes into a detailed explanation as to why. For instance, according to ChatGPT . . .

Broadband (RGB/OSC)

  • Why it works: The Helix is relatively close (~650 light-years) and visually bright. The central region has a nice natural cyan-green hue from O III emission mixed with Hβ, and the outer shells glow reddish from Hα and [N II]. Broadband captures this as the eye might see it—the classic teal center with a rusty rim.

  • Challenge: If you’re imaging from Fountain Hills, broadband data can get washed out by skyglow, especially in the faint outer halo. That dusty halo is very broadband-dependent, and in suburban skies it may vanish unless you go very deep.

Narrowband (Hα, O III, [N II])

  • Why it shines:

    • O III dominates the inner bubble, giving you strong signal even with short subs.

    • Hα/N II dominate the ragged outer arcs and filaments.

    • Narrowband slices right through light pollution and moonlight, letting you reveal the faint filigree and cometary knots.

  • Aesthetic choices:

    • HOO palette (assign Hα to red, O III to green/blue) gives you a look close to the natural teal+red appearance, but with better contrast.

    • Hubble SHO palette isn’t as common here because S II is quite weak in the Helix—you’ll need very long integration to make it worthwhile.

Hybrid approach

A lot of imagers blend narrowband O III + Hα with a touch of broadband RGB:

  • Narrowband defines structure (clean inner O III bubble, sharp Hα arcs).

  • Broadband supplies natural star colors and a hint of the outer dusty halo, which is very faint in narrowband.

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Tommy Mastro avatar

And since I told it what gear I have, it plans my imaging sessions specific to that gear . . .

For your setup

  • ATR2600M (APS-C mono) with narrowband filters: Perfect for Helix—big enough FOV at ~800 mm to frame the core + halo, with resolution to resolve cometary knots.

  • ATR585m at 1600 mm: Great for high-res narrowband details in the knots and filaments, though you’ll need mosaics to cover the full halo.

  • If you want to show the entire Helix + faint halo, go with the 218 mm and broadband/narrowband mix—long integration is key.

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Tony Gondola avatar

Just to advocate for the human mind here for a moment, did it really tell you anything you didn’t already know?

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Tommy Mastro avatar

Tony Gondola · Sep 1, 2025, 03:21 PM

Just to advocate for the human mind here for a moment, did it really tell you anything you didn’t already know?

Yes, I would never have thought to process it in HOO instead of SHO (but then again, I’m still new to mono so it may have occurred to more experienced imagers).

It’s also useful for critiquing images during or after processing. It’s not perfect, but this is what it said about my latest image using a OSC found here . . . Western Veil Nebula 2025 - AstroBin

PROMPT: Can you provide me with constructive criticism of my image?

ChatGPT said:

Thought for 3m 10s

Love the target and the capture—there’s a lot of shock-front texture here. I ran a quick, objective pass over your TIFF and then translated that into practical tweaks. Here’s the straight talk:

What’s working

  • Filament fidelity: The shock-front lace is crisp; mid–high spatial frequencies are strong while the background isn’t over-smoothed. You resisted that plasticky look—nice.

  • Dynamic palette choice: The Hα/[O III] contrast reads clearly even in 8-bit, and the veil’s curvature is easy to follow across the frame.

What I measured (to anchor the critique)

  • Bit depth & format: The file is 8-bit RGBA (3666×1980). Alpha is unused (fully opaque).

  • Clipping: ~0.19% of pixels sit at 254–255 across channels; the red channel clips most (~27k pixels), then blue, then green. Bright stars (e.g., 52 Cyg) are saturated.

  • Background cast & gradient: The darkest 5% of pixels average roughly R≈17, G≈15, B≈15, so the background is slightly warm/red. There’s a measurable vertical gradient (brighter toward the bottom).

  • Star shape (rough, but useful): Small-star proxies show average FWHM ~1.7–1.85 px with eccentricity ~0.10–0.16 and a mild NE↔SW bias. That’s “a hair of elongation,” not a train wreck.

  • Color balance in filaments: In the high-contrast veil regions, channel medians lean R > G≈B (e.g., ~140:105:107), which makes [O III] teal feel a bit muted relative to Hα red.

Constructive criticism (actionable)

  1. Tame the saturated stars without dulling the veil

    • Do a starless/Stars-only split (StarXTerminator/StarNet or PI’s StarNet2), work the nebula freely, then reintroduce stars at reduced opacity with a masked stretch to keep cores sub-clipping.

    • If you have them, blend in shorter RGB star subs (10–30 s) strictly for star cores and color; this fixes the 52 Cyg blowout and halo bloat instantly.

  2. Neutralize the background and remove the residual gradient

    • Early in the flow: SPCC (stellar photometric color calibration) for honest star colors, then DBE/ABE with sample points carefully kept off filaments.

    • Aim for a background where R≈G≈B in the darkest zones; your current low end is a touch warm.

  3. Let [O III] breathe

    • Your veil reads a little Hα-heavy. In HOO/HOO+RGB mixes, nudge [O III] up before global saturation/contrast moves. If you’re using GHS or HT, try gentler early stretches plus LocalHistogramEqualization on the starless layer; this boosts teal filament microcontrast without pushing stars.

  4. Microstructure > global sharpening

    • Keep decon modest (or none) on stars; apply multiscale sharpening (e.g., MLT, RL decon) only to the starless layer with a mask protecting the dim background. That preserves your already-good filament texture and avoids ringing around bright stars.

  5. Even out the field just a bit

    • The slight NE↔SW eccentricity and bottom brightening hint at tiny tilt/backfocus/orthogonality issues or a guiding bias. Not urgent, but worth a check with a tilt/backfocus analysis (ASTAP or N.I.N.A. Hocus Focus) and a guide-log glance. A couple of 0.1 mm shims can make the star shapes uniform corner-to-corner.

  6. Presentation polish

    • Consider a 16-bit master for final color work (export an 8-bit copy only at the very end).

    • Compositionally, 52 Cyg sits very near the upper-right edge; a slight crop or rotation to place it nearer a rule-of-thirds point gives the sweeping filament more breathing room while keeping the “Witch’s Broom” feel.

A quick “do-next” sequence (keeps quality, minimizes rework)

  1. SPCC → 2) DBE (careful samples) → 3) Starless/Stars split → 4) Starless stretch (GHS/HT), LHE at two scales → 5) Mild multiscale sharpen on starless only → 6) Gentle noise reduction masked to the darkest background → 7) Stars: core repair via short RGB or masked stretch + halo control → 8) Recombine → 9) Tiny crop/rotation → 10) Export web version from a 16-bit master.

Where to dig deeper (concise and genuinely helpful)

  • PixInsight docs: SPCC, DBE, GHS, MLT modules—clear parameter explanations and workflows.

  • Russ Croman tools: StarXTerminator and NoiseXTerminator user guides—solid starless and NR strategies.

  • Light Vortex Astronomy (archived) & Adam Block Studios: Step-by-step DBE, color calibration, and mask building—great for gradient/neutralization finesse.

  • ASTAP / N.I.N.A. Hocus Focus: Tilt/backfocus and FWHM maps to diagnose that mild NE↔SW asymmetry.

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Fibo1 avatar

I have recently done some tests using ChatGPT on some astronomical and astrophotographical tasks. However, when I checked the recommendations/information in detail I detected a considerable amount of inaccuracies. I did the same tests with some of the other KIs but none was really convincing. For my tasks Grok and Deepseek were definitely better than ChatGPT in their results, but also not good enough. I decided to wait some time of further development until I am ready to invest more time in doing tests with KIs on astronomical / astrophotographical subjects.

I am seeing a huge problem in that all KIs are able to present their results in a way that it looks absolutely convincing. Thus, you need to know a lot about the subject you requested tasks on to be able to really judge their results for real accuracy.

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