Original title: Automated Detection of Double-Lined Spectroscopic Binaries in High-Resolution Spectra and a Probabilistic Analysis of Stellar Multiplicity
William B. Salazar, Steven Giacalone, Andrew W. Howard · September 2026
When astronomers search for planets around nearby stars like our Sun, they first need to know if the target star is alone or has a partner star. Hidden stellar partners can confuse planet searches. To solve this, researchers built an automated computer program. It scans high-resolution starlight to catch double-lined spectroscopic binaries, which are pairs of stars whose mixed light reveals both objects. They tested this method by simulating realistic groups of stars. By itself, their program ruled out 46.1% of possible stellar companions. The team also looked at other observational methods. Sharpened images ruled out 79.6% on their own. Tracking a star's motion ruled out up to 98.7%. Putting all three methods together, the chance that a typical nearby star has an undetected partner drops to <1%.
You are listening to a radio station to decide if the song is sung by one artist or a duet. Often, the voices blend so perfectly that you cannot tell them apart just by listening. In this paper, the algorithm analyzes the pattern of light from a star to see if there are signs of a second star, much like picking out a second voice. When combined with other methods, it becomes extremely accurate at knowing whether a star is alone or has a companion.
Missions searching for Earth-like planets need to know if a star has a companion, because a binary star system can mimic planet signals or disrupt orbital measurements. This automated method quickly weeds out many double stars, and when combined with other techniques it makes target lists nearly contamination-free. For upcoming missions like the Habitable Worlds Observatory, that means a cleaner search and more reliable planet detections.
The abstract doesn't explicitly mention limitations, but the detection rates are evaluated using simulated stellar populations (MOLUSC), so real-world performance may vary with spectral quality, orbital parameters, and observational constraints. The combined approach also requires complementary data from adaptive optics and radial velocity surveys, which may not be available for all target stars.
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Automated Detection of Double-Lined Spectroscopic Binaries in High-Resolution Spectra and a Probabilistic Analysis of Stellar Multiplicity — William B. Salazar, Steven Giacalone, Andrew W. Howard
Abstract licence: CC0
Explanation generated by Synthesis from the abstract — it is not the original paper. This is a preprint, so it hasn't necessarily been peer reviewed.