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This paper presents a novel method for extracting radial velocities from spectroscopic data, achieving high precision by factorizing the data into principal spectra and time-dependent kernels. This approach allows for the recovery of both spectral components and radial velocity shifts simultaneously, leading to improved accuracy, especially in the presence of spectral variability. The validation on synthetic and real-world datasets, including observations of HD 34411 and τ Ceti, demonstrates the method's effectiveness and its ability to reach the instrumental precision limit. The ability to detect signals with semi-amplitudes down to ~50 cm/s is a significant advancement in the field of exoplanet detection.
Reference

The method recovers coherent signals and reaches the instrumental precision limit of ~30 cm/s.

Technology#AI Voice Chat👥 CommunityAnalyzed: Jan 3, 2026 08:49

Real-time AI Voice Chat at ~500ms Latency

Published:May 5, 2025 20:17
1 min read
Hacker News

Analysis

The article highlights a technical achievement: low-latency AI voice chat. The focus is on the speed of the interaction, which is a key factor for a good user experience. The 'Show HN' tag indicates it's a demonstration of a new project or product.
Reference