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FLAMINGO SWIFT particle snapshots: virtual HDF5 files, particle types, 78/79 output redshifts, downsampled and reduced variants. Use when reading gas, DM, stars, BHs, or neutrinos from a FLAMINGO run.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Deep-read an academic paper and produce a durable, critical research note — not a loose summary. Use when given a paper title, DOI, arXiv ID, publisher/PDF/GitHub URL, or local PDF, or when asked to read closely, summarize, extract contributions, analyze experiments, critique, compare to related work, reproduce results, or maintain a paper-reading repository index. Works across fields (astro/physics, ML, bio, security, …); examples lean astro-ph but the workflow is general.
Remote, slice-level access to FLAMINGO HDF5 files on COSMA via the `hdfstream` Python module — no need to download whole snapshots. Covers install, server connection, navigation, dataset slicing, multi-slice batched reads, and integration with swiftsimio. Use when reading any FLAMINGO data product remotely.
FLAMINGO past-lightcone products: virtual observers, particle lightcones, HEALPix shell maps, integrated_maps, and halo lightcones. Use when building mock surveys, stacking Compton-y or lensing maps, or cross-correlating with observations.
Review code changes against requirements and quality standards before merge. Use when dispatching a review subagent, after major features, before merging, or when the user asks for a code review. Requires reading the actual diff.
Style and structure for research manuscript text: IMRaD, hourglass narrative, formal tone, topic sentences, reproducible Methods, captions that tell the story. Use when drafting or editing titles, abstracts, sections, captions, or reports.
Iterative VLM review of compiled LaTeX PDFs for layout clashes (text vs figures, tables, long equations). Use after the first compile or any float/equation edit; loop fix-recompile-recheck until no clashes remain.
| name | flamingo-snapshots |
| description | FLAMINGO SWIFT particle snapshots: virtual HDF5 files, particle types, 78/79 output redshifts, downsampled and reduced variants. Use when reading gas, DM, stars, BHs, or neutrinos from a FLAMINGO run. |
Source of truth: Snapshots
Particle snapshots are SWIFT HDF5 outputs at fixed output redshifts. Each
snapshot is sharded per rank but exposed as one virtual file
flamingo_<NNNN>.hdf5 — always open that file (portal: Reading with swiftsimio).
<run>/<run>/snapshots/flamingo_<NNNN>/
flamingo_<NNNN>.hdf5 # virtual file (entry point)
flamingo_<NNNN>.<rank>.hdf5 # shards — do not iterate by hand
Sibling directories: snapshots_downsampled/, snapshots_reduced/ (see below).
SOAP catalogues exist at all listed outputs; full particle data is available for every output of L1_m9, L1_m9_DMO, L1_m10, and L1_m10_DMO only. For other runs, check the portal snapshot-redshift table (third column: particle data available or not).
Snapshot number <NNNN> maps to redshift via the portal tables — do not assume
the same index as power-spectrum files (0000–0122).
| SWIFT group | Content |
|---|---|
| PartType0 | SPH gas |
| PartType1 | CDM |
| PartType4 | Stars |
| PartType5 | Black holes |
| PartType6 | Massive neutrinos (δf method) |
_DMO runs: PartType1 (+ PartType6); CDM particles carry baryon mass.
Downsampled: random 1% of particles per output (not the same 1% each time); all BHs kept; most masses rescaled ×100 to conserve total mass (BH masses excepted). Subset of fields — see portal field list.
Reduced: full particle count but only a subset of properties; haloes sampled in M200c bins (≥200 halos per 0.05 dex bin, else all). Not shipped for L1_m9, L1_m9_DMO, L1_m10, L1_m10_DMO (full snapshots exist for all outputs).
Same HDF5 format; readable with swiftsimio.