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An Algorithm for the Determination of Coronal Mass Ejection Kinematic Parameters Based on Machine Learning
Shen, Fang; Yang, Yi; Li, Yucong +2 more
Coronal mass ejections (CMEs) constitute the major source of severe space weather events, with the potential to cause enormous damage to humans and spacecraft in space. It is becoming increasingly important to detect and track CMEs, since there are more and more space activities and facilities. We have developed a new algorithm to automatically de…
Exploring Unobscured Quasi-stellar Objects in the Southern Hemisphere with KS4
Im, Myungshin; Kim, Minjin; Song, Hyunmi +7 more
We present a catalog of unobscured quasi-stellar object (QSO) candidates in the Southern Hemisphere from the early interim data of the KMTNet Synoptic Survey of Southern Sky (KS4). The KS4 data covers ∼2500 deg2 sky area, reaching 5σ detection limits of ∼22.1–22.7 AB mag in the BVRI bands. Combining this with available infrared photomet…
Stellar Atmospheric Parameters for Cool Dwarfs in Gaia Data Release 3
Luo, A. -Li; Wang, Rui; Wang, You-Fen +4 more
We provide a catalog of atmospheric parameters for 1,806,921 cool dwarfs from Gaia Data Release 3 (DR3) that lie within the range covered by LAMOST cool dwarf spectroscopic parameters: 3200 K < T eff < 4300 K, ‑0.8 < [M/H] < 0.2 dex, and 4.5 < log g < 5.5 dex. Our values are derived based on machine-learning models tra…
A Star-based Method for the Precise Flux Calibration of the Chinese Space Station Telescope Slitless Spectroscopic Survey
Huang, Bowen; Yuan, Haibo; Xiao, Kai +5 more
The upcoming Chinese Space Station Telescope (CSST) slitless spectroscopic survey poses a challenge of flux calibration, which requires a large number of flux-standard stars. In this work, we design an uncertainty-aware residual attention network, the UaRA-net, to derive the CSST spectral energy distributions (SEDs) with a resolution of R = 200 ov…
Ultra-long-period Cepheids as Standard Candles from Gaia to Rubin-LSST
Di Criscienzo, M.; Ripepi, V.; Molinaro, R. +10 more
An analysis of the properties of ultra-long-period Cepheids (ULPs) could significantly contribute to understanding the Hubble constant tension, e.g., the current discrepancy between determinations based on local distance indicators and those relying on cosmic microwave background measurements. These highly luminous variables are observable beyond …
An Imaging and Spectroscopic Exploration of the Dusty Compact Obscured Nucleus Galaxy Zw 049.057
Gallagher, J. S.; Evans, A.; Privon, G. C. +9 more
Zw 049.057 is a moderate-mass, dusty, early-type galaxy that hosts a powerful compact obscured nucleus (CON, L FIR,CON ≥ 1011 L ⊙). The resolution of the Hubble Space Telescope enabled measurements of the stellar light distribution and characterization of dust features. Zw 049.057 is inclined with a prominent three…
The Hubble Deep Hydrogen Alpha (HDHα) Project. I. Catalog of Emission-line Galaxies
Jiang, Linhua; Fang, Guanwen; Zheng, Zhen-Ya +14 more
We present the first results of the Hubble Deep Hydrogen Alpha (HDHα) project, which analyzes the space-borne deep Hα narrowband imaging data in the GOODS-S region. The HDHα data comprises 72 orbits' images taken with the Hubble Space Telescope (HST) Advanced Camera for Surveys/Wide Field Channel F658N filter. The exposure time varies across a tot…
CME Arrival Time Prediction via Fusion of Physical Parameters and Image Features
Xu, Long; Huang, Xin; Zhao, Dong +1 more
Coronal mass ejections (CMEs) are among the most intense phenomena in the Sun–Earth system, often resulting in space environment effects and consequential geomagnetic disturbances. Consequently, quickly and accurately predicting CME arrival time is crucial to minimize the harm caused to the near-Earth space environment. To forecast the arrival tim…
Coevolution of Giant Molecular Clouds, Filaments, and Clumps as a Function of the Dense Gas Mass Fraction
Li, Dalei; Tang, Xindi; Zhou, Jianjun +12 more
We investigate the evolutionary dynamics with archival continuum and line data of 27 giant molecular clouds (GMCs) in the Milky Way, focusing on their influence on star formation. Examining the dense gas mass fraction (DGMF) among the GMCs, we categorize them into low-DGMF (DGMF < 20%), medium-DGMF (20% < DGMF < 60%), and high-DGMF (60% &…
A Multibranch Deep Neural Network for the Superresolution of Solar Magnetograms
Xu, Long; Zhao, Dong; Dou, Fengping +1 more
The existing superresolution (SR) models for solar magnetograms are mostly borrowed from the SR models for natural images. They are less effective for processing solar magnetograms with a very large dynamic range and very rich image features. In this paper, a multibranch superresolution (MBSR) model is specially designed for solar magnetograms. Fi…