Search Publications
Metallicity Dependence of Giant Planets around M Dwarfs
Burgasser, Adam J.; Gan, Tianjun; Mao, Shude +2 more
We investigate the stellar metallicity ([Fe/H] and [M/H]) dependence of giant planets around M dwarfs by comparing the metallicity distribution of 746 field M dwarfs without known giant planets with a sample of 22 M dwarfs hosting confirmed giant planets. All metallicity measurements are homogeneously obtained through the same methodology based on…
An Overview of Solar Orbiter Observations of Interplanetary Shocks in Solar Cycle 25
Maksimovic, Milan; Wimmer-Schweingruber, Robert F.; Dresing, Nina +17 more
Interplanetary (IP) shocks are fundamental constituents of the heliosphere, where they form as a result of solar activity. We use previously unavailable measurements of IP shocks in the inner heliosphere provided by Solar Orbiter, and present a survey of the first 100 shocks observed in situ at different heliocentric distances during the rising ph…
The S-PLUS Ultra-short Survey: Photometric Recalibration with the Best Star Database
Huang, Yang; Beers, Timothy C.; Sestito, Federico +15 more
We present an independent validation and comprehensive recalibration of S-PLUS Ultra-short Survey (USS) DR1 12-band photometry using about 30,000–70,000 standard stars from the Best Star (BEST) database. We identify the spatial variation of zero-point offsets, up to 30–40 mmag for blue filters (u, J0378, and J0395) and 10 mmag for others, predomin…
Magnetic Activity of TESS Objects Observed in the LAMOST Medium-resolution Spectral Survey
Han, Xianming L.; Misra, Prabhakar; Zhang, Li-yun +6 more
A combination of spectroscopic and photometric observations provides an excellent data sample for studying stellar chromospheric activity. We have combined LAMOST medium-resolution spectra with TESS 2 minute light curves and extracted over 530,000 spectra and 110,000 light curves from more than 40,000 stars. We have quantified the Hα line intensit…
Mining Double-line Spectroscopic Candidates in the LAMOST Medium-resolution Spectroscopic Survey Using a Human–AI Hybrid Method
Li, Shan-shan; Li, Chun-qian; Li, Chang-hua +5 more
We utilize a hybrid approach that integrates the traditional cross-correlation function (CCF) and machine learning to detect spectroscopic multiple star systems, specifically focusing on double-line spectroscopic binaries (SB2s). Based on the ninth data release (DR9) of the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST), which …
The Eclipsing Binaries via Artificial Intelligence. II. Need for Speed in PHOEBE Forward Models
Wrona, Marcin; Prša, Andrej
In modern astronomy, the quantity of data collected has vastly exceeded the capacity for manual analysis, necessitating the use of advanced artificial intelligence (AI) techniques to assist scientists with the most labor-intensive tasks. AI can optimize simulation codes where computational bottlenecks arise from the time required to generate forwa…
The Hobby–Eberly Telescope Dark Energy Experiment Survey (HETDEX) Active Galactic Nuclei Catalog: The Fourth Data Release
Finkelstein, Steven L.; Schneider, Donald P.; Gebhardt, Karl +6 more
We present the active galactic nuclei (AGN) catalog from the fourth data release (HDR4) of the Hobby–Eberly Telescope Dark Energy Experiment Survey (HETDEX). HETDEX is an untargeted spectroscopic survey. HDR4 contains 345,874 Integral Field Unit observations from 2017 January to 2023 August covering an effective area of 62.9 deg2. With …
Photometric Stellar Parameters for 195,478 Kepler Input Catalog Stars
Huang, Yang; Liu, Jifeng; Beers, Timothy C. +9 more
The stellar atmospheric parameters and physical properties of stars in the Kepler Input Catalog (KIC) are of great significance for the study of exoplanets, stellar activity, and asteroseismology. However, despite extensive effort over the past decades, accurate spectroscopic estimates of these parameters are available for only about half of the s…
Half a Million Binary Stars Identified from the Low-resolution Spectra of LAMOST
Liu, Chao; Chen, Xiaodian; Wang, Jie +2 more
Binary stars are prevalent yet challenging to detect. We present a novel approach using convolutional neural networks (CNNs) to identify binary stars from low-resolution spectra obtained by the LAMOST survey. The CNN is trained on a data set that distinguishes binaries from single main-sequence stars based on their positions on the Hertzsprung–Rus…
A Search for the O'Connell Effect in Contact Binaries in the Era of Big Sky Surveys. I.
Christopoulou, Panagiota-Eleftheria; Papageorgiou, Athanasios; Kleftogiannis, Georgios D.
Asymmetries between the two maxima of the light curves of contact binaries, known as the O'Connell effect, have been identified using the All Sky Automated Survey, All-Sky Automated Survey for Supernovae, Northern Sky Variability Survey, Optical Gravitational Lensing Experiment, and Optical Monitoring Camera sky surveys. The morphology of the mean…