Welcome! This project recently migrated onto Zooniverse’s new architecture. For details, see here.
In this section you will find a list of frequently asked questions (FAQ). This page will be updated as we get more questions and as the project evolves.
We will use your labels to fine-tune a machine learning classifier (a Deep Convolutional Neural Network) that Rubin Observatory will use to confidently identify astrophysical transients, variables, and moving objects. Your data will help the classifier learn more information about the different phenomena that Rubin will see. Each public alert sent by Rubin will include a score from the classifier trained from this project!
There are many places to look for help:
Don't worry about it! We will be using multiple users' labels to classify each subject. Subjects that users disagree about are some of the most important!
We've interspersed a few training objects along the way to help users as they get started.
This line is a scale bar of length 1.0 arcseconds. Real objects will be larger than 0.5 arcsecond or so.