astro-dso-doc
Bootstraps a deep-sky object (DSO) astrophotography project from raw acquisition frames (own rig, not a smart telescope), AND generates a complete, polished HTML documentation page, a processing check
SKILL.mdshared/.ai-agents/skills/astro-dso-doc/SKILL.md
GitHubAstro DSO Documentation Generator
Generates up to six deliverables for a deep-sky object (DSO) astrophotography project:
- Project structure +
rig.json— the on-disk directory skeleton (raw/,processing/,finals/) and a schema-validated JSON file describing the rig, site, and per-filter acquisition sequences, built primarily by reading FITS headers directly out ofraw/light,raw/dark,raw/flatrather than by manual entry. project.json— a flat JSON file containing the PixInsight project description data (copy thedescriptionfield value into the Description box of.xosm). Derived automatically fromrig.jsonwhen the project was bootstrapped (Step 0b).doc/index.html— a rich, self-contained HTML documentation page (path goes into the Documentation field of.xosm), using the Catppuccin flavor palette with a theme switcher.doc/processing-checklist.html— an interactive step-by-step PixInsight processing checklist adapted to the target's filter set (LRGB, HOO, SHO, RGB-only, etc.), using the same Catppuccin design system.astrobin.json— a structured JSON file containing all AstroBin image post fields, ready to copy-paste into the AstroBin upload form.Process Icons - <common_name> - <workflow_type> workflow.xpsm— a PixInsight process icon set tailored to the detected workflow (LRGB, RGB, HOO, SHO), generated from the processing checklist phases.
A project can be a smart telescope (single pre-stacked file per session — see Edge Cases) or, more commonly now, an own rig shooting raw calibrated-later frames (light/dark/flat) — the default assumption throughout this skill.
Workflow
Step 0 — Bootstrap Project (Directory Structure + rig.json)
Run this step first whenever the user asks to bootstrap/initialize/setup a project, or whenever the working directory contains only a raw/ folder and no rig.json yet. It replaces manual data entry (Step 2) whenever real acquisition data is available in FITS headers. It produces the on-disk skeleton and a validated rig.json — the source of truth for every other step in this skill.
0.1 — Verify starting state
Only raw/ is expected to exist when bootstrapping. Confirm with Bash:
ls -la ./
ls -la ./raw/
If raw/light, raw/dark, or raw/flat do not exist, create them (empty subfolders are fine — some campaigns have no separate darks, e.g. bias-only calibration):
mkdir -p ./raw/light ./raw/dark ./raw/flat
If a rig.json already exists in the working directory, ask the user whether to overwrite it or reuse it as-is before proceeding — never overwrite silently.
0.2 — Create the rest of the project structure
mkdir -p ./processing/calibrated ./processing/masters ./finals
Directory roles:
| Directory | Role |
|---|---|
raw/light raw/dark raw/flat |
Untouched acquisition frames — never write into these |
processing/calibrated |
Calibrated/registered subs (optional to keep — can grow large) |
processing/masters |
Integrated master frames, one per filter (MasterLight_<filter>.xisf) |
finals |
Exported final images (.xisf, .tif, .jpg) |
0.3 — Extract metadata from FITS headers
Scan every FITS file under raw/light, raw/dark, raw/flat and aggregate per-filter sequences. Install astropy if missing:
pip install astropy --break-system-packages -q 2>/dev/null
python3 << 'PYEOF'
import glob, json, os
from astropy.io import fits
from collections import defaultdict
def scan_folder(folder):
"""Group FITS headers by filter, aggregating exposure/gain/bin/temp/subs."""
groups = defaultdict(lambda: {"subs": 0, "exposures": set(), "gains": set(),
"bins": set(), "temps": set(), "dates": set()})
meta = {}
for path in sorted(glob.glob(os.path.join(folder, "*.fit*"))):
try:
hdr = fits.getheader(path)
except Exception:
continue
filt = hdr.get("FILTER", "NONE") or "NONE"
g = groups[filt]
g["subs"] += 1
exptime = hdr.get("EXPTIME", hdr.get("EXPOSURE"))
if exptime is not None:
g["exposures"].add(round(float(exptime), 3))
if hdr.get("GAIN") is not None:
g["gains"].add(hdr.get("GAIN"))
g["bins"].add(hdr.get("XBINNING", 1))
temp = hdr.get("CCD-TEMP", hdr.get("SET-TEMP"))
if temp is not None:
g["temps"].add(round(float(temp), 1))
date_obs = hdr.get("DATE-OBS")
if date_obs:
g["dates"].add(str(date_obs)[:10])
if not meta:
meta = {
"object": hdr.get("OBJECT"),
"telescope": hdr.get("TELESCOP"),
"camera": hdr.get("INSTRUME"),
"focal_length": hdr.get("FOCALLEN"),
"pixel_size": hdr.get("XPIXSZ"),
"ra": hdr.get("RA", hdr.get("OBJCTRA")),
"dec": hdr.get("DEC", hdr.get("OBJCTDEC")),
"site_lat": hdr.get("SITELAT"),
"site_long": hdr.get("SITELONG"),
"bayer": hdr.get("BAYERPAT"),
}
return groups, meta
result = {}
global_meta = {}
for kind in ("light", "dark", "flat"):
groups, meta = scan_folder(f"./raw/{kind}")
if meta and not global_meta:
global_meta = meta
result[kind] = {
filt: {
"subs": g["subs"],
"exposures": sorted(g["exposures"]),
"gains": sorted(x for x in g["gains"] if x is not None),
"bins": sorted(g["bins"]),
"temps": sorted(g["temps"]),
"dates": sorted(g["dates"]),
}
for filt, g in groups.items()
}
print(json.dumps({"meta": global_meta, "sequences": result}, indent=2, default=str))
PYEOF
Present the extracted summary to the user in a compact table (per kind × filter: subs, exposure(s), gain(s), bin, temp) before writing rig.json.
If multiple distinct exposures, gains, or bins are found within the same filter (e.g. an incomplete or mixed session), list them as separate sequence entries rather than collapsing them — never silently average or discard data.
If astropy cannot be installed or no FITS files are found in raw/light, fall back to Block C of Step 2 (session file list) and proceed manually — do not fail the whole bootstrap.
0.4 — Ask only for what FITS headers cannot provide
FITS headers rarely contain: aperture (mm), focal ratio, exact pixel count, filter bandwidth/model, site name, elevation, Bortle class. Ask in one block, pre-filling anything already extracted so the user only fills gaps:
I've read the raw frames. Here's what I found:
Target : {object or "not found — please provide"}
Telescope : {telescope or "not found"}
Camera : {camera or "not found"}
Focal length: {focal_length or "not found"} mm
Filters : {list of distinct FILTER values found}
A few things aren't in the FITS headers — can you fill these in?
- Aperture (mm) and f-ratio, if not inferable from focal length + known telescope model
- Pixel size (µm), if not in header
- Filter bandwidth (nm) and vendor/model, per filter
- Site name, elevation (m), and Bortle class
- GPS coordinates, if SITELAT/SITELONG were not present in the headers
Do not re-ask for anything already successfully extracted from the headers.
0.5 — Generate rig.json
Build the file following the schema in references/rig.schema.json. Field sourcing:
| rig.json field | Source |
|---|---|
target.name |
OBJECT header, or user-provided |
target.common_name |
Resolved during Step 3 research (headers never carry a common name) |
target.coordinates_j2000 |
RA/DEC (or OBJCTRA/OBJCTDEC) headers if present, else user-provided |
capture_location.site |
User-provided |
capture_location.latitude / longitude |
SITELAT/SITELONG headers if present, else user-provided |
capture_location.elevation_m |
User-provided |
capture_location.bortle |
User-provided |
camera.model |
INSTRUME header |
camera.sensor, camera.pixel_size_um |
User-provided if not derivable from XPIXSZ |
telescope.focal_length_mm |
FOCALLEN header, or computed from aperture × f-ratio |
telescope.aperture_mm, telescope.focal_ratio |
User-provided if not inferable |
filters |
Distinct FILTER header values, described with user-provided bandwidth/vendor |
tec_setpoint_c |
Most common SET-TEMP (fallback CCD-TEMP) across light frames |
binning |
Most common XBINNING across light frames |
sequences.lights[] |
One entry per filter (or per distinct exposure/gain/bin within a filter), from Step 0.3 aggregation, including dates (all distinct DATE-OBS days for that entry) |
sequences.darks[] |
One entry per distinct exposure/bin found in raw/dark (filter-independent), including dates |
sequences.flats[] |
One entry per filter found in raw/flat, including dates |
Save with Bash:
cat > ./rig.json << 'EOF'
[generated JSON, single object, pretty-printed 2-space indent]
EOF
Validate against the schema before confirming success:
pip install jsonschema --break-system-packages -q 2>/dev/null
python3 -c "
import json, jsonschema
schema = json.load(open('references/rig.schema.json'))
data = json.load(open('./rig.json'))
jsonschema.validate(instance=data, schema=schema)
print('rig.json OK')
"
If validation fails, fix the offending field and re-validate — never present an invalid rig.json to the user as final.
0.6 — Confirm and hand off
Tell the user:
- Project structure →
raw/{light,dark,flat},processing/{calibrated,masters},finals/created - rig.json → path, and a one-line summary (target, filters, total subs, total integration time)
Then proceed automatically to Step 0b (internal field mapping) and Step 3 (DSO research) to generate the object documentation. Do not re-ask acquisition questions already answered by rig.json — Step 2 becomes a no-op for any field it already covers.
Step 0b — Map rig.json to Internal Project Fields
The rest of this skill (Steps 3 through 6) is built around a flat project.json structure. Bridge rig.json into that structure in memory (and still write project.json to disk — other tools may expect it) so every downstream step works unchanged.
| project.json field | Derived from rig.json |
|---|---|
target |
target.name |
common_name |
Resolved during Step 3 research (rig.json has no common name field) |
ra / dec |
target.coordinates_j2000.ra / .dec |
telescope |
"{telescope.model} ({telescope.aperture_mm}mm f/{telescope.focal_ratio})" |
camera |
"{camera.model} ({camera.sensor})" |
filter |
Join filters values, e.g. "Askar D1 (H\u03b1/OIII, 6nm) + Askar D2 (SII/OIII, 6nm)" — feeds workflow detection in Step 5b.1 as SHO or HOO depending on which bands are present |
site |
capture_location.site |
site_coords |
"{latitude}N / {longitude}E \u00b7 ~{elevation_m}m \u00b7 Bortle {bortle}" |
session_count |
Number of distinct dates found across sequences.lights[].dates (ask if not tracked) |
sessions |
One summary string per filter: "{filter}: {subs} \u00d7 {exposure_s}s @ gain {gain}, bin {bin}" |
stacking |
"WBPP (PixInsight)" — own rig, not a smart telescope |
calibration |
"Darks / Flats / Bias" (or "Darks / Flats" if no bias frames found in raw/dark) |
subs_integrated |
"{total lights} / {total lights}" unless the user flags rejected subs |
notes |
From Step 0.4 free-text answers |
Also carry forward for Step 5c (astrobin.json) and Step 5d (XPSM), which can now be populated more precisely than with a smart telescope:
acquisition_details[].gain— fromrig.jsonsequences.lights[].gain, notnullacquisition_details[].temperature— fromtec_setpoint_cacquisition_details[].bortle— fromcapture_location.bortleacquisition_details[].binning— fromrig.jsonbinning
Step 1 — Identify the Target
Skip this step if the target was already extracted from FITS headers in Step 0.3 (or confirmed in Step 0.4).
Extract the DSO name/catalog number from the user's message. If ambiguous or missing, ask for it before proceeding.
Common catalog prefixes: NGC, IC, M (Messier), Sh2 (Sharpless), B (Barnard), vdB, LBN, LDN, Ced, RCW.
Step 2 — Collect Acquisition Data (interactive fallback)
Skip any block already fully answered by rig.json (Step 0). This step exists for: projects not bootstrapped via Step 0, smart telescope sessions (no raw FITS to scan), or fields Step 0.4 didn't cover.
Ask the remaining questions one block at a time (don't dump all at once). Wait for answers before proceeding.
Block A — Instrument:
What instrument did you use?
(e.g. telescope model, focal length, f-ratio, camera, built-in filter)
Block B — Site:
Where did you image from?
(location name, lat/lon if known, approximate altitude)
Block C — Session files:
Please provide the path to the folder or list of session files.
(e.g. /path/to/sessions/ or paste filenames directly)
If the user gives a directory path, scan it with Bash:
ls -1 /path/to/sessions/ | grep -iE '\.(tiff?|fits?|xisf|cr2|nef|dng|raf|jpg|jpeg|png)$' | sort
Present the sorted list for confirmation before proceeding.
If the user pastes filenames directly, accept them as-is.
Block D — Optional extras (ask once, accept "skip" gracefully):
Any additional notes? (sky conditions, Bortle class, total integration time, etc.)
Step 3 — Research the DSO
Use web_search to gather comprehensive data. Run at least 3 searches in parallel or sequence:
{DSO name} {common name} astronomical data distance magnitude type constellation{DSO name} star forming region physical properties HII nebula galaxy cluster{DSO name} NASA Hubble ESA observations history discovery- (if nebula)
{DSO name} astrophotography imaging narrowband dual-band filter tips
Collect:
- Coordinates (RA / Dec J2000)
- Distance (ly and parsecs)
- Apparent size (arcmin)
- Visual magnitude
- Physical diameter
- Object type (HII region, reflection nebula, galaxy, globular cluster, etc.)
- Discovery history (who, when, instrument)
- Physical structure and processes
- Notable stars or ionizing sources
- Observation/imaging notes
- Key references (NASA, ESA, SIMBAD, catalogues)
- All catalog designations (NGC, IC, Sh2, LBN, etc.)
Step 4 — Generate project.json
Build a flat JSON object (no nesting, no indentation) representing the PixInsight project
description. Save it as ./project.json in the current working directory using Bash:
cat > ./project.json << 'EOF'
{"target":"NGC2174","common_name":"Monkey Head Nebula","constellation":"Orion","ra":"06h 09m 42s","dec":"+20° 30' 00\"","object_type":"H II Region","telescope":"Vaonis Vespera 1 (50mm f/4)","camera":"Sony IMX585 (built-in)","filter":"Dual-band built-in (Ha + OIII)","site":"Dark Sky Site","site_coords":"45.0N / 6.0E · ~900m","session_count":6,"sessions":["2026-03-19_19h04.tiff","2026-03-20_18h48.tiff","2026-03-23_20h43.tiff","2026-04-07_20h40.tiff","2026-04-08_19h19.tiff","2026-04-16_19h37.tiff"],"stacking":"Internal stacking by instrument","calibration":"Handled internally by the instrument","subs_integrated":"6 / 6","ref_alignment":"","ref_integration":"","notes":"","created":"2026-05-05","description":"TARGET : NGC2174 – Monkey Head Nebula\nConstellation: Orion | RA 06h 09m 42s / Dec +20° 30' 00\"\n\n── EQUIPMENT ────────────────────────────────────────────\nTelescope : Vaonis Vespera 1 (50mm f/4)\nCamera : Sony IMX585 (built-in)\nFilter : Dual-band built-in (Ha + OIII)\nSite : Dark Sky Site (45.0N / 6.0E · ~900m)\n\n── SESSIONS ─────────────────────────────────────────────\n2026-03-19_19h04.tiff\n2026-03-20_18h48.tiff\n2026-03-23_20h43.tiff\n2026-04-07_20h40.tiff\n2026-04-08_19h19.tiff\n2026-04-16_19h37.tiff\n\nTotal : 6 sessions | Internal stacking by instrument\nCalibration : Handled internally by the instrument\n\n── INTEGRATION ──────────────────────────────────────────\nSubs integrated : 6 / 6\nRef. alignment :\nRef. integration :\n\n────────────────────────────────────────────────────────\nProject created : 2026-05-05"}
EOF
JSON field rules:
- No indentation — the entire JSON must be a single line (minified)
- All string values use
\nfor newlines within thedescriptionfield ref_alignmentandref_integrationare always empty strings""— the user fills them in PixInsightcalibration:"Darks / Flats / Bias"(or"Darks / Flats") for own-rig projects bootstrapped via Step 0 — the default case;"Handled internally by the instrument"only for smart telescopes (see Edge Cases)sessionsarray: filenames sorted chronologically, no path prefixdescriptionfield: the full plain-text block (same format as before, using\nescapes) ready to paste into PixInsight's Description boxnotes: empty string""if user skipped Block D; otherwise the user's text
After writing the file, confirm the path to the user.
Step 5 — Generate the HTML Documentation Page
Read the full HTML template from references/documentation-template.html.
Fill in all the template placeholders using:
- Research data (Step 3)
- Acquisition data (Step 2)
- Session file list (Step 2C)
Create the doc/ directory if it does not exist, then save the output:
mkdir -p ./doc
Save the file as ./doc/index.html.
Tell the user the full path of the generated file, and remind them:
- Documentation field of the PixInsight project → path to
doc/index.html - Description field of the PixInsight project → copy the value of the
descriptionkey fromproject.json
Step 5b — Generate the Processing Checklist
Read the full checklist template from references/processing-checklist-template.html.
5b.1 — Detect filter set
Before filling the template, determine the workflow mode from the filter field in project.json:
| Filter value contains | Workflow mode | Active channels |
|---|---|---|
Luminance + Red + Green + Blue |
LRGB | L, R, G, B |
Red + Green + Blue (no Lum) |
RGB | R, G, B |
Ha + OIII (no RGB) |
HOO | Hα, OIII |
Ha + OIII + SII |
SHO | Hα, OIII, SII |
Ha + RGB |
HαRGB | Hα, R, G, B |
Ha + OIII + RGB |
HOO+RGB | Hα, OIII, R, G, B |
| Single filter only | Mono | That channel only |
5b.2 — Parse per-channel exposure times
Parse the sessions array from project.json to extract per-channel totals.
Case A — sessions is an array of summary strings (e.g. "Luminance: 3h 00m (36 × 300s)"):
Extract directly from the string content.
Case B — sessions is an array of filenames (e.g. CHI-1-CMOS_2023-07-26_NGC253_Blue_300s_ID374118_cal.fits):
Count files per filter keyword (Blue, Green, Red, Luminance, Ha, Halpha, OIII, SII) and compute total exposure using the sub duration from the filename or from subs_integrated.
If per-channel data cannot be parsed, use — as the placeholder value.
5b.3 — Fill placeholders
| Placeholder | Value |
|---|---|
{{DSO_ID}} |
target field from project.json (e.g. NGC 4594) |
{{COMMON_NAME}} |
common_name field |
{{CONSTELLATION}} |
constellation field |
{{OBJECT_TYPE}} |
object_type field, uppercased |
{{CAMERA}} |
camera field |
{{INSTRUMENT}} |
telescope field |
{{FILTER}} |
filter field |
{{SITE}} |
site field |
{{TOTAL_EXPOSURE}} |
total_exposure field (or computed from sessions) |
{{TOTAL_SUBS}} |
numeric portion of subs_integrated (e.g. 120) |
{{LUM_TIME}} |
parsed Luminance total, e.g. 3h 00m (36 × 300s) |
{{RED_TIME}} |
parsed Red total |
{{GREEN_TIME}} |
parsed Green total |
{{BLUE_TIME}} |
parsed Blue total |
{{HA_TIME}} |
parsed Hα total (omit row if channel absent) |
{{OIII_TIME}} |
parsed OIII total (omit row if channel absent) |
{{SII_TIME}} |
parsed SII total (omit row if channel absent) |
{{GENERATED_DATE}} |
today's date YYYY-MM-DD |
{{AUTHOR}} |
user name / location from Block B, or — |
{{DSO_NOTES}} |
user notes from Block D — remove entire section 13 if empty |
Also replace all occurrences of {{DSO_ID}} inside id="step-*" attributes and the STORAGE_KEY constant with a slug version: spaces replaced by hyphens, lowercased (e.g. ngc-4594).
5b.4 — Adapt sections to workflow mode
Apply the following structural modifications based on the detected workflow mode:
LRGB workflow (default — correct order):
- Phase 02: Luminance linear (BXT + NXT only — no stretch)
- Phase 03: RGB linear (SPFC + CC + SPCC + BXT + NXT — no stretch)
- Phase 04: LRGBCombination on linear masters — combine L + RGB before any stretch
- Phase 05: Stretch the LRGB combined image + SCNR
- Phase 06: StarXterminator on stretched LRGB
- Phase 07: Starless LRGB processing (GHS, LHE, USM, SCC, NXT)
- Phase 08: Rescreen stars
- Phase 09: Finalization (Astro Color Mixer, Curves, ICC, Export)
- Phase 10: Project Cleanup (Delete intermediate calibrated files to reduce storage)
RGB workflow (no Luminance):
- Remove section 04 entirely (Phase 02 — Luminance Processing)
- Remove section 06 entirely (Phase 04 — LRGB Combination)
- Update section numbers sequentially to reflect removed sections (e.g. 03→03, 05→04, etc.)
- Change all
tag-lrgbtags totag-rgbin finalization steps - Update export filenames from
{{DSO_ID}}_LRGB_final.*to{{DSO_ID}}_RGB_final.* - Remove Luminance legend item
HOO / SHO narrowband workflow:
- Remove section 04 (Luminance linear) — keep section 04 if Luminance is present
- In section 05 (RGB linear): rename to "Narrowband Processing (Linear)"
- Replace
ChannelCombinationstep with: "PixelMath — HOO / SHO palette assembly" - Remove SPCC step; replace with: "BackgroundNeutralization + ColorCalibration"
- Keep BlurXterminator, NoiseXterminator, stretch steps
- Replace
SCNRstep with: "Correct magenta stars — CorrectMagentaStars script"
- Replace
- Replace
tag-rgbtags withtag-nbthroughout narrowband phases - Uncomment narrowband legend items (
tag-ha,tag-oiii) in the legend section - Uncomment narrowband data cells (Hα, OIII, SII) in section 01
- Update export filenames to
{{DSO_ID}}_HOO_final.*or{{DSO_ID}}_SHO_final.*
HαRGB workflow:
- Keep full LRGB structure
- Add one step after
ChannelCombinationin section 05: "PixelMath — Integrate Hα into Red channel (HαRGB blend)" - Uncomment Hα legend item and data cell
- Tag the new step with
tag-haandtag-rgb
Smart telescope / pre-stacked (alternate path — single session file per filter, stacking = "Internal stacking by instrument"; not produced by Step 0 bootstrap, only when the user explicitly describes a smart-telescope session in Step 2):
Replace the entire Phase 01 (section 03) with a single step:
Import pre-stacked masters Copy the stacked output files into the project folder. No WBPP run required — calibration and stacking handled by the instrument.Remove Blink Comparator steps
5b.5 — Save the file
cat > ./doc/processing-checklist.html << 'EOF'
[filled and adapted template content]
EOF
Tell the user:
- Processing Checklist →
doc/processing-checklist.html
Checklist state (checked steps) persists across browser reloads via localStorage, keyed by DSO slug.
Step 5c — Generate astrobin.json
Build the AstroBin post fields JSON from all previously collected data (Steps 2, 3, 4).
5c.1 — Field mapping rules
| AstroBin field | Source | Rules |
|---|---|---|
title |
common_name + target from project.json |
Format: "Common Name (DSO_ID)" — e.g. "Sombrero Galaxy (NGC 4594)" |
description |
Research data (Step 3) + acquisition summary | 3–5 sentences in English. Scientific summary + total integration + filter set. Plain text, no HTML. |
link |
Telescope.live dataset URL if applicable | See 5c.2 below |
image_file |
— | Always "" — user uploads the image manually |
imaging_telescopes |
telescope from project.json |
Array of objects — see 5c.3 |
imaging_cameras |
camera from project.json |
Array of objects — see 5c.3 |
mounts |
— | Empty array [] unless user provided mount info in Block A |
filters |
filter from project.json |
Array of objects — one per channel — see 5c.4 |
software |
Always PixInsight | Fixed value — see 5c.3 |
location |
site + site_coords from project.json |
Object — see 5c.3 |
acquisition_details |
sessions array from project.json |
Array of objects — one per filter channel — see 5c.5 |
first_acquisition_date |
Earliest date parsed from sessions | YYYY-MM-DD format |
last_acquisition_date |
Latest date parsed from sessions | YYYY-MM-DD format |
data_source |
"OWN" or "AMATEUR_HOSTING" |
"AMATEUR_HOSTING" if site contains "telescope.live", "itelescope", "lightbuckets", "slooh"; otherwise "OWN" |
remote_source |
Remote hosting label | "TELELIVE" if telescope.live; "ITELESCOPE" if iTelescope; "" otherwise |
subject_type |
Derived from object_type in project.json |
See 5c.6 |
5c.2 — Dataset link (telescope.live)
If site or telescope contains "telescope.live" or "Telescope.live":
- Set
linkto"https://app.telescope.live/archive"as the default dataset URL. - If the user provided a specific dataset URL in Block D, use it instead.
- Otherwise set
linkto"".
5c.3 — Equipment objects
imaging_telescopes — one object per telescope:
{
"name": "Telescope.live Remote Observatory",
"aperture": null,
"focal_length": null,
"type": "REFRACTOR"
}
Parse aperture (mm) and focal length (mm) from the telescope string if present (e.g. "50mm f/4" → aperture: 50, focal_length: 200).
Type heuristics: contains "Newton" or "Newtonian" → "NEWTONIAN", "Cassegrain" or "SCT" → "SCT", "Refractor" or "APO" or "ED" or "f/" → "REFRACTOR", "Reflector" → "REFLECTOR", otherwise "OTHER".
imaging_cameras — one object:
{
"name": "QHY 600M",
"type": "CCD",
"modified": false
}
Type: if camera name contains "IMX", "CMOS", "ASI", "QHY", "ZWO", "Atik Horizon" → "CCD" (AstroBin uses CCD for all dedicated astro cameras). modified always false unless user stated "modded" or "full spectrum".
software — always:
[{"name": "PixInsight", "version": ""}]
5c.4 — Filters array
Parse the filter field from project.json. Produce one object per distinct channel:
{
"name": "Luminance",
"type": "L",
"bandwidth": null,
"vendor": "",
"model": ""
}
Filter type mapping:
| Channel keyword | AstroBin type |
|---|---|
| Luminance, Lum, L | "L" |
| Red, R | "R" |
| Green, G | "G" |
| Blue, B | "B" |
| Hα, Ha, H-alpha | "Ha" |
| OIII, O3 | "OIII" |
| SII, S2 | "SII" |
| Dual-band, dual band | produce two objects: "Ha" + "OIII" |
| Tri-band, tri band | produce three objects: "Ha" + "OIII" + "SII" |
If the filter string includes a bandwidth (e.g. "3nm", "6.5nm", "7 nm"), set bandwidth to the numeric value in nm. Extract vendor/model if present (e.g. "Antlia 3nm Ha" → vendor: "Antlia", model: "3nm Ha").
5c.5 — Acquisition details (DeepSky sessions)
Produce one object per filter channel. Parse per-channel data from the sessions array (same logic as Step 5b.2).
{
"filter": "Luminance",
"filter_type": "L",
"number": 36,
"duration": 300,
"binning": 1,
"gain": null,
"sensor_cooling": null,
"darks": null,
"flats": null,
"flat_darks": null,
"bias": null,
"bortle": null,
"mean_sqm": null,
"mean_fwhm": null,
"temperature": null,
"date": "YYYY-MM-DD"
}
Field rules:
number— sub count for this filter channelduration— sub duration in seconds (parse from filename or session string, e.g.300s,300.00s)binning— always1unless user specified otherwisegain— parse from filename if present (e.g._GAIN100_), otherwisenullbortle— parse from Block D notes if user mentioned Bortle class, otherwisenulldate— use the first date found for this filter in the sessions array; formatYYYY-MM-DD- All other fields
nullunless explicitly provided by the user
5c.6 — Subject type mapping
| object_type contains | AstroBin subject_type |
|---|---|
| Galaxy, Galaxies | "GALAXY" |
| Nebula, HII, H II, Emission | "NEBULA" |
| Cluster, Open cluster | "OPEN_CLUSTER" |
| Globular | "GLOBULAR_CLUSTER" |
| Planetary nebula | "PLANETARY_NEBULA" |
| Supernova remnant, SNR | "SUPERNOVA_REMNANT" |
| Solar system | "SOLAR_SYSTEM_BODY" |
| Other / unknown | "OTHER" |
5c.7 — Save the file
Save as ./astrobin.json (pretty-printed, 2-space indent — unlike project.json this one is for human reading):
cat > ./astrobin.json << 'EOF'
{
"title": "...",
...
}
EOF
Example output (M104, LRGB, Telescope.live):
{
"title": "Sombrero Galaxy (NGC 4594)",
"description": "The Sombrero Galaxy (NGC 4594) is a spectacular Sa/Sb spiral galaxy in Virgo, located approximately 28 million light-years away. Its iconic silhouette features a brilliant central bulge bisected by a prominent dust lane. Imaged in LRGB from the Telescope.live Chile remote observatory using a QHY 600M camera over 10 hours of total integration (36×300s Luminance, 27×300s Red, 29×300s Green, 28×300s Blue). Processed in PixInsight.",
"link": "https://app.telescope.live/archive",
"image_file": "",
"imaging_telescopes": [
{
"name": "Telescope.live Remote Observatory",
"aperture": null,
"focal_length": null,
"type": "REFRACTOR"
}
],
"imaging_cameras": [
{
"name": "QHY 600M",
"type": "CCD",
"modified": false
}
],
"mounts": [],
"filters": [
{ "name": "Luminance", "type": "L", "bandwidth": null, "vendor": "", "model": "" },
{ "name": "Red", "type": "R", "bandwidth": null, "vendor": "", "model": "" },
{ "name": "Green", "type": "G", "bandwidth": null, "vendor": "", "model": "" },
{ "name": "Blue", "type": "B", "bandwidth": null, "vendor": "", "model": "" }
],
"software": [
{ "name": "PixInsight", "version": "" }
],
"location": {
"name": "Chile Remote Observatory",
"coords": "Chile · Southern Hemisphere"
},
"subject_type": "GALAXY",
"data_source": "AMATEUR_HOSTING",
"remote_source": "TELELIVE",
"first_acquisition_date": "2023-02-15",
"last_acquisition_date": "2025-03-06",
"acquisition_details": [
{
"filter": "Luminance", "filter_type": "L",
"number": 36, "duration": 300, "binning": 1,
"gain": null, "sensor_cooling": null,
"darks": null, "flats": null, "flat_darks": null, "bias": null,
"bortle": null, "mean_sqm": null, "mean_fwhm": null, "temperature": null,
"date": "2023-02-15"
},
{
"filter": "Red", "filter_type": "R",
"number": 27, "duration": 300, "binning": 1,
"gain": null, "sensor_cooling": null,
"darks": null, "flats": null, "flat_darks": null, "bias": null,
"bortle": null, "mean_sqm": null, "mean_fwhm": null, "temperature": null,
"date": "2023-02-15"
},
{
"filter": "Green", "filter_type": "G",
"number": 29, "duration": 300, "binning": 1,
"gain": null, "sensor_cooling": null,
"darks": null, "flats": null, "flat_darks": null, "bias": null,
"bortle": null, "mean_sqm": null, "mean_fwhm": null, "temperature": null,
"date": "2023-02-15"
},
{
"filter": "Blue", "filter_type": "B",
"number": 28, "duration": 300, "binning": 1,
"gain": null, "sensor_cooling": null,
"darks": null, "flats": null, "flat_darks": null, "bias": null,
"bortle": null, "mean_sqm": null, "mean_fwhm": null, "temperature": null,
"date": "2023-02-15"
}
]
}
Tell the user:
- AstroBin post fields →
astrobin.json - Fields
imaging_telescopes,imaging_cameras,filters,acquisition_detailsmap 1:1 to AstroBin's "Equipment" and "Acquisition" sections. image_filemust be filled manually when uploading.
Step 5d — Generate Process Icons XPSM
Generate a PixInsight process icon set (.xpsm) tailored to the detected workflow mode (Step 5b.1) and the specific target.
5d.1 — Filename
Process Icons - <common_name> - <workflow_type> workflow.xpsm
<common_name>→common_namefrom project.json, spaces preserved (e.g.Sombrero Galaxy)<workflow_type>→ detected workflow mode, title-cased:LRGB,RGB,HOO,SHO,HaRGB
Example: Process Icons - Sombrero Galaxy - LRGB workflow.xpsm
Save to the current working directory (not inside doc/).
5d.2 — XPSM file structure
All XPSM files share this skeleton:
<?xml version="1.0" encoding="UTF-8"?>
<!--
PixInsight XML Process Serialization Module - XPSM 1.0
Generated: <GENERATED_DATE>
Target: <DSO_ID> — <COMMON_NAME>
Workflow: <WORKFLOW_TYPE>
-->
<xpsm version="1.0"
xmlns="http://www.pixinsight.com/xpsm"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://www.pixinsight.com/xpsm http://pixinsight.com/xpsm/xpsm-1.0.xsd">
[instance blocks]
[icon blocks]
</xpsm>
Rules:
- Every
<instance>block must have a uniqueidending in_instance - Every
<icon>block references its instance viainstance="<id>" xposalways2000,yposincrements of40per icon from topworkspacealways"Workspace01"- The
<description>element on each instance must state the phase number, step number, and a one-line usage note
5d.3 — LRGB workflow icon set
Generate the following instances and icons in this exact order:
PHASE 02 — Luminance Linear (no stretch)
| Icon ID | Class | Key parameters | Description |
|---|---|---|---|
STF_AutoStretch |
ScreenTransferFunction |
4 rows, c0=0.01732, m=0.02099, c1=1.0; interaction=Grayscale | Visual check only — do NOT apply permanently |
BXT_CorrectOnly_Lum |
BlurXTerminator |
correct_only=true, sharpen_stars=0.25, sharpen_nonstellar=0.90, auto_nonstellar_psf=true | First pass on Lum linear — PSF correction only |
BXT_Full_Lum |
BlurXTerminator |
correct_only=false, sharpen_stars=0.25, sharpen_nonstellar=0.90, auto_nonstellar_psf=true | Second pass on Lum linear — full sharpening |
NXT_Lum |
NoiseXTerminator |
denoise=0.70, enable_color_separation=false, iterations=2, detail=0.15 | Mono channel — color separation OFF |
PHASE 03 — RGB Linear (no stretch)
| Icon ID | Class | Key parameters | Description |
|---|---|---|---|
ChannelCombination |
ChannelCombination |
colorSpace=RGB, 3 rows enabled=true id="" | Assemble R+G+B linear masters |
SPCC |
SpectrophotometricColorCalibration |
applyCalibration=true, catalogId=GaiaDR3SP, autoLimitMagnitude=true, neutralizeBackground=true | Color calibration — run ImageSolver first |
BXT_CorrectOnly_RGB |
BlurXTerminator |
correct_only=true, sharpen_stars=0.25, sharpen_nonstellar=0.90 | First pass on RGB linear |
BXT_Full_RGB |
BlurXTerminator |
correct_only=false, sharpen_stars=0.25, sharpen_nonstellar=0.90 | Second pass on RGB linear |
NXT_RGB |
NoiseXTerminator |
denoise=0.70, enable_color_separation=true, denoise_color=0.90, iterations=2 | Color channel — separation ON |
PHASE 04 — LRGB Combination (linear)
| Icon ID | Class | Key parameters | Description |
|---|---|---|---|
LRGBCombination |
LRGBCombination |
clipHighlights=true, noiseReduction=false, layersRemoved=4, layersProtected=2, 4 channel rows enabled=true k=1.0 (first row k=0.5 for L), mL=0.500, mc=0.500 | Apply on linear RGB — L must be monochrome (ConvertToGrayscale if needed). All weights = 1.0 |
PHASE 05 — Stretch LRGB
| Icon ID | Class | Key parameters | Description |
|---|---|---|---|
Stretch_LRGB |
GeneralizedHyperbolicStretch |
stretchType=ST_GeneralisedHyperbolic, stretchChannel=SC_RGB, stretchFactor=0.200, symmetryPoint=0.059964, highlightProtection=0.500 | Stretch combined LRGB — after LRGBCombination |
SCNR |
SCNR |
amount=1.00, protectionMethod=AverageNeutral, colorToRemove=Green, preserveLightness=true | Remove green cast after stretch |
PHASE 06 — Star Separation
| Icon ID | Class | Key parameters | Description |
|---|---|---|---|
StarXTerminator |
StarXTerminator |
stars=true, unscreen=true, overlap=0.20 | Separate stars and starless from stretched LRGB |
Curves_Stars_Sat |
CurvesTransformation |
S channel: 3 rows (0→0, 0.5→0.58, 1→1); all other channels: identity 2 rows | Saturation boost on Stars-only image |
PHASE 07 — Starless LRGB Processing
| Icon ID | Class | Key parameters | Description |
|---|---|---|---|
GHS_Starless |
GeneralizedHyperbolicStretch |
stretchType=ST_GeneralisedHyperbolic, stretchChannel=SC_RGB, stretchFactor=0.200, symmetryPoint=0.059964, highlightProtection=0.500 | Pull faint structures — adjust HP and SP per target |
LHE |
LocalHistogramEqualization |
radius=64, histogramBins=Bit12, slopeLimit=2.0, amount=0.500, circularKernel=true | Local contrast — conservative on LRGB |
UnsharpMask |
UnsharpMask |
sigma=2.00, amount=0.40, useLuminance=true, linear=false, deringing=false | Moderate — Lum already provides sharpness |
NXT_Starless |
NoiseXTerminator |
denoise=0.70, enable_color_separation=true, denoise_color=0.90, iterations=1, detail=0.15 | 2nd pass on starless — ~70% strength |
PHASE 08 — Recombination
| Icon ID | Class | Key parameters | Description |
|---|---|---|---|
PixelMath_Rescreen |
PixelMath |
expression=~((~starless)*(~stars)), useSingleExpression=true, createNewImage=true, newImageColorSpace=RGB |
Drag onto starless image — IDs must match open windows |
PHASE 09 — Finalization
| Icon ID | Class | Key parameters | Description |
|---|---|---|---|
AstroColorMixer |
(Script) | Script > Utilities > AstroColorMixer | Late stage color refinement (hue/saturation/luminance) of stretched RGB — no XPSM instance |
Curves_Final |
CurvesTransformation |
K channel: 4 rows (0→0, 0.25→0.22, 0.75→0.78, 1→1); L channel: 3 rows (0→0, 0.5→0.53, 1→1); S channel: 3 rows (0→0, 0.5→0.55, 1→1); all others identity | S-curve + midtone lift + saturation boost |
ICCProfileTransformation |
ICCProfileTransformation |
targetProfile=sRGB IEC61966-2.1, toDefaultProfile=false, renderingIntent=RelativeColorimetric, useBlackPointCompensation=true |
Last step before export |
PHASE 10 — Project Cleanup
| Icon ID | Class | Key parameters | Description |
|---|---|---|---|
Cleanup_Notes |
(Manual) | N/A | Delete intermediate files in processing/calibrated to reduce storage once masters are saved |
5d.4 — RGB workflow icon set
Same as LRGB but:
- Remove
NXT_Lum,BXT_CorrectOnly_Lum,BXT_Full_Lum,STF_AutoStretch(Lum phase entirely absent) - Remove
LRGBCombination - Add
Stretch_RGB(same GHS parameters asStretch_LRGB) immediately afterNXT_RGB - Renumber phases: Phase 02 → RGB linear, Phase 03 → Stretch RGB, Phase 04 → Star separation, etc.
5d.5 — HOO / SHO narrowband workflow icon set
Same base as RGB but:
- Replace
ChannelCombinationwithPixelMath_HOOorPixelMath_SHO:
HOO PixelMath expression (3-channel: R=Ha, G=blend, B=OIII):
R: $T[0]*BrightnessControl
G: k= adev($T[0])/adev($T[1]); g1= ((k*OIIIBoost)*($T[1]-med($T[1]))+med($T[0])); iif(OIII_SCurve==0,g1,3*g1^2-2*g1^3)*BrightnessControl
B: k= adev($T[0])/adev($T[1]); b1= ((k*OIIIBoost)*($T[1]-med($T[1]))+med($T[0])); iif(OIII_SCurve==0,b1,3*b1^2-2*b1^3)*BrightnessControl
Symbols: OIIIBoost=1.0; HaBlend=0.6; BrightnessControl=1.0; OIII_SCurve=0; k,g1,b1
- Remove
SPCC→ replace with aSCNRat green (for magenta star correction after narrowband palette) - Add
CorrectMagentaStarsnote in description (Script-based, no XPSM instance available)
5d.6 — ypos layout
Icons are placed top-to-bottom in a single column at xpos=2000, starting at ypos=40, incrementing by 40 per icon. A gap of 80 (one empty slot) separates each phase boundary.
| Phase | Start ypos |
|---|---|
| Phase 02 | 40 |
| Phase 03 | 40 + (n_phase02 × 40) + 80 |
| Phase 04 | previous + (n_phase03 × 40) + 80 |
| … | … |
5d.7 — Save the file
cat > "Process Icons - <common_name> - <workflow_type> workflow.xpsm" << 'EOF'
[generated XPSM content]
EOF
Tell the user:
- Process Icons →
Process Icons - <common_name> - <workflow_type> workflow.xpsm - Import in PixInsight via File → Import Process Icons
- Icon descriptions include phase, step number, and usage reminders
- Image IDs in
PixelMath_Rescreen(starless,stars) must match actual open window names in PixInsight
Step 6 — Copy Description to Clipboard
Run the following command to place the PixInsight description text directly into the clipboard:
cat project.json | jq -r '.description' | pbcopy
If the command succeeds (exit code 0), tell the user:
✓ Description copied to clipboard — paste it directly into the PixInsight project Description field.
If it fails (e.g. jq or pbcopy not found), show the fallback message:
⚠ Clipboard copy unavailable. Open
project.jsonand copy the value of thedescriptionkey manually.
Template Placeholders Reference
See references/rig.schema.json for the full JSON Schema used to validate rig.json (Step 0.5).
See references/documentation-template.html for the full annotated documentation template.
See references/processing-checklist-template.html for the full annotated checklist template.
Documentation template (references/documentation-template.html)
Key placeholders:
{{DSO_ID}}— e.g.NGC2174{{COMMON_NAME}}— e.g.Monkey Head Nebula{{RA}},{{DEC}}— J2000 coordinates{{DISTANCE_LY}},{{DISTANCE_PC}}— with uncertainty range if known{{APPARENT_SIZE}}— e.g.40′ × 30′{{MAGNITUDE}}— visual magnitude{{PHYSICAL_DIAMETER}}— e.g.~75 ly{{OBJECT_TYPE}}— e.g.H II Region{{CONSTELLATION}}— full name{{CATALOG_ROWS}}—<tr>rows for the catalog table{{SCIENTIFIC_DESCRIPTION}}— 3–5<p>paragraphs{{KEY_STAR_BLOCK}}— filled if a dominant ionizing/notable star exists, else empty{{TIMELINE_ITEMS}}—<div class="timeline-item">blocks for history{{PHYSICAL_STRUCTURE}}— 3–4<p>paragraphs{{OBSERVATION_TIPS}}—<div class="tip-card">blocks{{INSTRUMENT}},{{FILTER}},{{SITE}},{{SITE_COORDS}}— acquisition fields{{SESSION_COUNT}}— integer{{SESSION_FILES}}—<span class="session-file">filename</span>per file{{REFERENCES_ROWS}}—<tr>rows for references table{{GENERATED_DATE}}— today's dateYYYY-MM-DD{{AUTHOR_NOTES}}— optional free-text notes block (omit section if empty)
Checklist template (references/processing-checklist-template.html)
Key placeholders:
{{DSO_ID}}— e.g.NGC 4594(display) andngc-4594(slug for IDs and localStorage){{COMMON_NAME}}— e.g.Sombrero Galaxy{{CONSTELLATION}}— full name{{OBJECT_TYPE}}— uppercased, e.g.SPIRAL GALAXY{{CAMERA}}— e.g.QHY 600M{{INSTRUMENT}}— e.g.Telescope.live Remote Observatory{{FILTER}}— e.g.LRGB{{SITE}}— e.g.Chile Remote Observatory{{TOTAL_EXPOSURE}}— e.g.10h 00m{{TOTAL_SUBS}}— integer only, e.g.120{{LUM_TIME}}— e.g.3h 00m (36 × 300s){{RED_TIME}},{{GREEN_TIME}},{{BLUE_TIME}}— per-channel exposure{{HA_TIME}},{{OIII_TIME}},{{SII_TIME}}— narrowband channels (omit if absent){{GENERATED_DATE}}—YYYY-MM-DD{{AUTHOR}}— observer name / location{{DSO_NOTES}}— free-text processing notes (omit section 13 if empty)
AstroBin JSON (astrobin.json)
Key fields and their sources:
| Field | Source |
|---|---|
title |
"{{COMMON_NAME}} ({{DSO_ID}})" |
description |
3–5 sentences from research + acquisition summary |
link |
"https://app.telescope.live/archive" if telescope.live, else "" |
imaging_telescopes[].name |
telescope from project.json |
imaging_telescopes[].aperture |
parsed from telescope string (mm) or null |
imaging_telescopes[].focal_length |
parsed from telescope string (mm) or null |
imaging_telescopes[].type |
heuristic from telescope string |
imaging_cameras[].name |
camera from project.json |
imaging_cameras[].type |
always "CCD" for dedicated astro cameras |
filters[].type |
mapped from filter channel name |
filters[].bandwidth |
parsed from filter string (nm) or null |
software |
always [{"name": "PixInsight", "version": ""}] |
location.name |
site from project.json |
location.coords |
site_coords from project.json |
subject_type |
mapped from object_type |
data_source |
"AMATEUR_HOSTING" or "OWN" |
remote_source |
"TELELIVE", "ITELESCOPE", or "" |
first_acquisition_date |
earliest date from sessions |
last_acquisition_date |
latest date from sessions |
acquisition_details[].filter |
channel name |
acquisition_details[].number |
sub count for that channel |
acquisition_details[].duration |
sub duration in seconds |
| Class | Color | Meaning |
|---|---|---|
tag-lum |
mauve | Luminance channel only |
tag-rgb |
blue | RGB channels |
tag-ha |
red | Hα channel |
tag-oiii |
sapphire | OIII channel |
tag-nb |
yellow | Generic narrowband |
tag-lrgb |
pink | LRGB combined step |
tag-warn |
peach | Target-specific warning |
tag-tip |
teal | Optional / tip |
Quality Standards
rig.json (Step 0):
- Only
raw/(and itslight/dark/flatsubfolders) is assumed to exist before bootstrapping — every other directory is created by Step 0.2, never assumed present - Always validated against
references/rig.schema.jsonbefore being presented as final — a failed validation is fixed and re-checked, never shipped - Pretty-printed with 2-space indent (human-readable, hand-editable)
- Values actually read from FITS headers are never overwritten by guesses — if a header field is missing, the corresponding rig.json field is left for the user to fill (Step 0.4), never fabricated
- Distinct exposures/gains/bins within the same filter are kept as separate
sequencesentries — never merged or averaged sequences.lights[],.darks[],.flats[]subs counts always match the actual file count found on disk at bootstrap time- No CAA/rotator field unless the user's rig actually has one — omit entirely rather than null it out
project.json:
- Single-line minified JSON — no indentation, no pretty-printing
descriptionfield contains the full plain-text PixInsight Description block with\nescapesref_alignmentandref_integrationalways empty strings""sessionsarray sorted chronologically- All fields always present; use
""or0for missing optional values, nevernull
doc/index.html:
doc/directory created automatically if absent- All 4 Catppuccin flavors wired up: Latte, Frappé, Macchiato (default), Mocha
- Theme preference persists via
localStorage - Fully self-contained — single HTML file, no external dependencies except Google Fonts
- Sections with no data omitted gracefully
- Session files in chronological order
- All scientific content from actual web searches — never fabricate measurements
- Uncertainty ranges cited when distance estimates vary between sources
doc/processing-checklist.html:
doc/directory created automatically if absent (same run as index.html)- All 4 Catppuccin flavors wired up with the same theme switcher and localStorage key
- Checklist state (checked / unchecked steps) persists via
localStoragekeyed by DSO slug - Workflow mode (LRGB / RGB / HOO / SHO / HαRGB) correctly detected and applied
- Unused filter channels removed from data grid and legend
- Section numbers resequenced after any section removal
- Export filenames match the detected workflow mode
- All
{{DSO_ID}}occurrences in HTML attributes replaced with the slug version STORAGE_KEYconstant in the<script>block updated tochecklist-{dso-slug}
astrobin.json:
- Pretty-printed with 2-space indent (human-readable)
titlefollows the format"Common Name (DSO_ID)"descriptionis plain text, 3–5 sentences, no HTML or markdownlinkset to"https://app.telescope.live/archive"for telescope.live data;""otherwisefiltersarray contains one object per distinct channel — never merge channelsacquisition_detailscontains one object per channel with correctnumberanddurationdata_sourceandremote_sourcecorrectly reflect the imaging sitesubject_typederived fromobject_typeusing the mapping table in 5c.6softwarealways[{"name": "PixInsight", "version": ""}]mountsalways[]unless user provided mount information explicitly- All numeric fields use numbers, not strings (
300not"300") - All unknown/unparseable fields use
null, never empty string"" first_acquisition_dateandlast_acquisition_dateinYYYY-MM-DDformat
Process Icons - <name> - <workflow> workflow.xpsm:
- Filename exactly follows the pattern
Process Icons - <common_name> - <workflow_type> workflow.xpsm - Workflow type derived from filter set detection (Step 5b.1):
LRGB,RGB,HOO,SHO,HaRGB - All
<instance>IDs end in_instance; all<icon>IDs are clean names without suffix histogramBinsonLocalHistogramEqualizationalways uses enum valueBit12— never an integerLRGBCombinationonly includes known valid parameters:clipHighlights,noiseReduction,layersRemoved,layersProtected,channelstable,mL,mcICCProfileTransformationonly includes:targetProfile,toDefaultProfile,renderingIntent,useBlackPointCompensation- Icon layout: single column at
xpos=2000,yposstarts at40, increments40per icon,80gap between phases PixelMath_Rescreenexpression always~((~starless)*(~stars))— description reminds user to match image IDs- Narrowband PixelMath expressions use XML-escaped
<as< - XPSM workflow type matches the checklist workflow detected in Step 5b.1 — never hardcoded
Edge Cases
| Situation | Handling |
|---|---|
| DSO not well-documented | Note gaps; still generate all three outputs with available data |
| Directory path given but empty | Ask user to paste filenames manually |
| No session files provided | sessions: [] in JSON; omit Section 08 from index.html; use — in checklist |
| Galaxy / cluster instead of nebula | Skip narrowband tip cards; adapt physical description |
| User skips optional questions | Use "" in JSON; use — placeholders in HTML |
| File extensions unexpected | Accept .png, .jpeg, .dng, .raf as well |
| User wants JSON only | Run Steps 1, 2, 4 only — skip Steps 3, 5, 5b, 5c, 5d |
| User wants HTML only | Run Steps 1, 2, 3, 5 only — skip Steps 4, 5b, 5c, 5d |
| User wants checklist only | Run Steps 1, 2, 5b only — skip Steps 3, 4, 5, 5c, 5d |
| User wants astrobin only | Run Steps 1, 2, 4, 5c only — skip Steps 3, 5, 5b, 5d |
| Smart telescope (no separate calibration) | calibration: "Handled internally by the instrument" — replace Phase 01 in checklist |
doc/ already exists |
Overwrite HTML files silently — never error on existing directory |
| Pure narrowband (HOO / SHO) | Remove Luminance phase and LRGB combination phase from checklist |
| HαRGB blend | Keep LRGB structure; add PixelMath Hα blend step after ChannelCombination |
| Per-channel times not parseable | Use — in checklist data cells; do not fail |
| User wants XPSM only | Run Steps 1, 2, 4, 5b (detection only), 5d — skip Steps 3, 5, 5b (HTML), 5c |
| HOO workflow XPSM | Replace ChannelCombination with PixelMath_HOO; remove SPCC; add SCNR for magenta stars |
| SHO workflow XPSM | Replace ChannelCombination with PixelMath_SHO; same SPCC/SCNR substitution |
| Smart telescope XPSM | Remove Lum phase entirely; adjust phase numbering in icon layout |
| Common name has special chars | Strip /, \, :, *, ?, ", <, >, | from filename |
| User wants astrobin only | Run Steps 1, 2, 4, 5c only — skip Steps 3, 5, 5b |
| Dual-band filter (Ha+OIII built-in) | Produce two filter objects in astrobin.json: Ha + OIII |
| Tri-band filter | Produce three filter objects: Ha + OIII + SII |
| No date parseable from sessions | Set first_acquisition_date and last_acquisition_date to null |
| Mount info not provided | mounts: [] — do not guess or invent |
| Non-telescope.live remote site | Set data_source: "AMATEUR_HOSTING", remote_source: "" |
| OWN backyard imaging | Set data_source: "OWN", remote_source: "" |
| Gain parseable from filenames | Include numeric gain value in acquisition_details[].gain |
| Bortle class mentioned in notes | Include in all acquisition_details[].bortle entries |
Working directory has only raw/ |
Bootstrap trigger (Step 0) — create the rest of the structure and generate rig.json |
raw/light, raw/dark, or raw/flat missing |
Create the missing subfolder(s) empty — a campaign may legitimately have no darks (bias-only) or no flats yet |
No FITS files found in raw/light |
Fall back to Step 2 manual entry — do not fail the bootstrap |
rig.json already exists |
Ask the user: reuse as-is, or overwrite — never overwrite silently |
rig.json fails schema validation |
Fix the offending field and re-validate before presenting it as final |
astropy install fails |
Ask the user to paste a representative FITS header manually, or fall back to Step 2 |
SITELAT/SITELONG missing from headers |
Ask the user for GPS coordinates in Step 0.4 |
| Mixed exposures/gains/bins within one filter | List as separate sequences entries — never average or discard |
Multiple distinct OBJECT values across raw/light |
Flag to the user — a target folder should contain exactly one DSO's data; ask which is correct or whether files need sorting first |
| CAA/rotator not present on the rig | Omit any rotation/CAA field from rig.json entirely — do not include it as null |