Research news on Light curves

Light curves as a research area encompass the quantitative analysis of temporal variations in observed flux or intensity from astrophysical or other luminous sources, using time-series photometric data to infer underlying physical processes. This domain includes developing and applying methods for period finding, variability classification, and model fitting for phenomena such as eclipses, transits, pulsations, flares, and accretion-driven variability. Research focuses on signal processing, noise characterization, and statistical inference to extract parameters like periods, amplitudes, phase shifts, and transient event properties, often integrating multiwavelength or multimessenger data and leveraging large time-domain surveys and automated classification techniques.

Astronomers collect rare evidence of two planets colliding

Anastasios (Andy) Tzanidakis was combing through old telescope data from 2020 when he found an otherwise boring star acting very strangely. The star, named Gaia20ehk, was about 11,000 light-years from Earth near the constellation ...

AI reshapes how we observe the stars

AI tools are transforming how we observe the world around us—and even the stars beyond. Recently, an international team proved that deep learning techniques and large language models can help astronomers classify stars with ...