Ikbar FaizIkbar FaizComputer Science student at BINUS University
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AstrophysicsCompleted

Rubin Sampling: Gaia-to-ZTF Period Recovery Baseline

A public astrophysics pipeline that links Gaia DR3 truth sets to real ZTF light curves, runs baseline period recovery on RR Lyrae, and publishes evaluation artifacts, fail-case tables, and figure bundles directly in the repository.

PythonUpdated Mar 9, 2026

Challenge

Rubin-style period finding is easy to describe but hard to defend in practice once cadence irregularity, harmonics, and survey-service instability start to distort what looks like the best period candidate.

Implementation

This repository turns that problem into a clean public workflow: Gaia truth-set download, live ZTF ingest with resumable batch behavior and provider fallback, standardized parquet outputs, baseline Lomb-Scargle search, and evaluation tables that surface both recovery metrics and manual-review failure cases.

Result

The result is a portfolio-ready research repository with real data products, reproducible commands, and a first public RR Lyrae baseline batch that already shows both strong recovery performance and the first scientifically meaningful alias failures.

Repository Snapshot

Public Gaia-to-ZTF baseline pipeline for variable-star period recovery, alias analysis, and Rubin-like cadence experiments.