Changing-Look AGN
Services
The big question
How can we automatically detect rare AGN state transitions from noisy, irregular time-domain survey data?
The Objective
a research pipeline that blends time-series features and ML classification to flag changing-look AGN candidates.
Changing-Look AGN Detection focuses on identifying active galactic nuclei that transition between spectral states over observable timescales. We built an end-to-end workflow to ingest survey observations, engineer time-domain features, and train models to prioritize high-confidence transition candidates for follow-up analysis, ensuring we capture these rare astrophysical events efficiently and at scale.
Visual direction
The visual identity of this project is rooted in the vast, dark expanse of the cosmos. We utilized a palette of deep midnight blues and Charcoal greys, contrasted with brilliant pulsar-white highlights to simulate the intensity of active galactic nuclei. Data visualizations were designed with astronomical precision, using high-contrast spectral plots that allow researchers to instantly identify state-change signatures. The interface maintains a minimalist, scientific aesthetic, prioritizing clarity and reducing cognitive load when analyzing complex time-series spectra. Every graphical element, from the subtle starfield backgrounds to the dynamic light-curve overlays, was crafted to feel both technologically advanced and deeply connected to the scientific exploration of the distant universe.
Focus on Experience
The user experience is built around discovery and rigorous analysis. Researchers are guided through a logical pipeline: from broad survey ingestion to granular candidate filtering. Interactive light-curves allow users to scrub through years of observations in seconds, with ML-detected anomalies highlighted in real-time. The dashboard integrates seamlessly with existing astrophysical databases, ensuring that secondary verification is only a click away. By balancing automated classification with intuitive human-in-the-loop validation, the platform transforms a needle-in-a-haystack search into a streamlined discovery engine designed for the next generation of time-domain astronomy.
The pipeline has significantly reduced the time between observation and identification, enabling rapid follow-up of some of the rarest events in the sky.
High-precision spectral analysis tools.
