Context: The knowledge of the binary properties of metal-poor and solar-metallicity stars can shed light on the potential differences between the formation...
Lucky spectroscopy, an equivalent technique to lucky imaging. II. Spatially resolved intermediate-resolution blue-violet spectroscopy of 19 close massive binaries using the William Herschel Telescope
Context. Many massive stars have nearby companions. These hamper a characterization of massive stars through spectroscopy. Aims: We continue to obtain spatially...
Lucky Spectroscopy, an equivalent technique to Lucky Imaging. Spatially resolved spectroscopy of massive close visual binaries using the William Herschel Telescope
Context. Many massive stars have nearby companions whose presence hamper their characterization through spectroscopy. Aims: We want to obtain spatially resolved...
Lunar mare single-scattering, porosity, and surface-roughness properties with SMART-1 AMIE
A novel shadowing and coherent-backscattering model is utilized in the analysis of the single-scattering albedos and phase functions, local surface roughness...
Lunar Occultations of 18 Stellar Sources from the 2.4 m Thai National Telescope
We report further results from the program of lunar occultation (LO) observations started at the 2.4 m Thai National Telescope (TNT) in 2014. We have recorded...
Lupus I Observations from the 2010 Flight of the Balloon-borne Large Aperture Submillimeter Telescope for Polarimetry
The Balloon-borne Large Aperture Submillimeter Telescope for Polarimetry (BLASTPol) was created by adding polarimetric capability to the BLAST experiment that...
Lupus-TR-3b: A Low-Mass Transiting Hot Jupiter in the Galactic Plane?
We present a strong case for a transiting hot Jupiter planet identified during a single-field transit survey toward the Lupus Galactic plane. The object, Lupus...
Machine learning for transient recognition in difference imaging with minimum sampling effort
The amount of observational data produced by time-domain astronomy is exponentially increasing. Human inspection alone is not an effective way to identify...
Machine learning in APOGEE. Unsupervised spectral classification with K-means
Context. The volume of data generated by astronomical surveys is growing rapidly. Traditional analysis techniques in spectroscopy either demand intensive human...