r0b: Real Or Bogus ===================== .. caution:: I am actively working on this algorithm - and significant updates will be put in production **throughout March 2026 at least**. The `reliability score provided by Rubin `_ is very useful for first cuts but as a transient astronomer it is not sufficient to create a clean enough stream. By using the reliability score alongside other features in the alert packet we can make better decisions. This work is based on the `ATLAS Virtual Research Assistant (Stevance et al. 2025) `_, and adds methods of Active Learning so I can train directly on the stream. Because I am training **directly on the live Rubin stream** it will take a few weeks to train and verify an algorithm. The details of this will be added to this documentation and make the object of a proper paper later in the year. If you have questions in the mean-time email me or start a topic on the `Lasair Community Forum `_. The ``r0b`` LVRA is a binary classifier **downstream** of a filter that makes preliminary cuts: * ``reliability`` >0.5 * ``SHERLOCK`` label either ``SN``, ``NT``, ``ORPHAN`` or ``UNCLEAR``. * ``nDiaSources``` >= 2 * .. warning:: The r0b scores are **absolutely not suitable for Solar System Objects of AGNs**. If they work well, it is on accident. Use at your own peril. How does it work? What data was it trained on? Performance? ------------------------------------------------------------- *Come back in March/April 2026*