Add VetStar Pi: a new Raspberry Pi OS port - #37
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A lightweight standalone build of both pipelines (Transit + Microlensing) under pios/, targeted at 1 GB Raspberry Pi hardware. Runs entirely offline with a Tkinter GUI matching the pinight/FeedMeSomePi pattern. Keeps the science: BLS, Lomb-Scargle, adaptive event detection with gap handling, centroid check, odd/even, secondary eclipse, shape, physics, verdict (transit); PSPL + Davenport-2014 flare + null with BIC verdict, symmetry score, observables and planet-detection predictions (microlensing). PNG plot exports and per-pipeline reportlab PDF reports are wired into both the GUI and the CLI. Drops what would blow the memory budget or need remote services: no React frontend, no MAST/TESScut/astroquery/MulensModel/tess-point, no DVT/HCI/POE/ExoMiner/FFI-cutout, no multi-sector orchestration, no joint TESS+Gaia fit. Only five pip deps, all with piwheels-prebuilt ARM wheels: numpy, scipy, astropy, matplotlib, reportlab. Install path: `curl -fsSL .../pios/fetch.sh | bash` sparse-checkouts only pios/, then install.sh sets up a venv under ~/.local/share/vetstar-pi/, drops a `vetstar-pi` launcher into ~/.local/bin/, installs a Science-menu .desktop entry, and refreshes the LXDE panel so it shows up without a logout. Render/Fly ignore this: pios/ is in .dockerignore so it never enters the Docker build context, and .github/workflows/ci-deploy.yml has paths-ignore: pios/** so pushes touching only the Pi port skip CI and deploy jobs. The cloud service is unchanged. README's Developer section is replaced with a VetStar Pi walkthrough; the cloud-studio API, project layout, and deploy notes are kept below as reference subsections. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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A lightweight standalone build of both pipelines (Transit + Microlensing) under pios/, targeted at 1 GB Raspberry Pi hardware. Runs entirely offline with a Tkinter GUI matching the pinight/FeedMeSomePi pattern.
Keeps the science: BLS, Lomb-Scargle, adaptive event detection with gap handling, centroid check, odd/even, secondary eclipse, shape, physics, verdict (transit); PSPL + Davenport-2014 flare + null with BIC verdict, symmetry score, observables and planet-detection predictions (microlensing). PNG plot exports and per-pipeline reportlab PDF reports are wired into both the GUI and the CLI.
Drops what would blow the memory budget or need remote services: no React frontend, no MAST/TESScut/astroquery/MulensModel/tess-point, no DVT/HCI/POE/ExoMiner/FFI-cutout, no multi-sector orchestration, no joint TESS+Gaia fit. Only five pip deps, all with piwheels-prebuilt ARM wheels: numpy, scipy, astropy, matplotlib, reportlab.
Install path:
curl -fsSL .../pios/fetch.sh | bashsparse-checkouts only pios/, then install.sh sets up a venv under ~/.local/share/vetstar-pi/, drops avetstar-pilauncher into ~/.local/bin/, installs a Science-menu .desktop entry, and refreshes the LXDE panel so it shows up without a logout.Render/Fly ignore this: pios/ is in .dockerignore so it never enters the Docker build context, and .github/workflows/ci-deploy.yml has paths-ignore: pios/** so pushes touching only the Pi port skip CI and deploy jobs. The cloud service is unchanged.
README's Developer section is replaced with a VetStar Pi walkthrough; the cloud-studio API, project layout, and deploy notes are kept below as reference subsections.