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Stars that exhibit prominent emission lines in their spectra are referred to as emission-line stars, encompassing a wide range of stellar types and indicative of intriguing physical properties. The Large Sky Area Multi-Object fiber…

Solar and Stellar Astrophysics · Physics 2026-01-12 Lihuan Yu , Jiangdan Li , Jinliang Wang , Tongyu He , Zhanwen Han aa

Low-mass emission-line stars belong to various evolutionary stages, from pre-main-sequence young stars to evolved stars. In this work, we present a catalog of late-type (F0 to M9) emission-line stars from the LAMOST Data Release 6. Using…

Solar and Stellar Astrophysics · Physics 2024-10-24 D. Edwin , Blesson Mathew , B. Shridharan , Vineeth Valsan , S. Nidhi , Suman Bhattacharyya , Sreeja S. Kartha , T. Robin

We study the spectral classification of emission-line galaxies as star-forming galaxies or Active Galactic Nuclei (AGNs). From the Sloan Digital Sky Survey (SDSS) high quality data, we define an improved classification to be used for high…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-14 Fabrice Lamareille

In this paper we present a classification of emission-line galaxies at intermediate and high redshifts (0.52.5 for near-infrared spectra), using the Dn(4000) index as a supplementary diagnostic. Our goal is to complement the diagnostic…

Cosmology and Nongalactic Astrophysics · Physics 2011-06-16 Julien Marocco , Emeric Hache , Fabrice Lamareille

Mergers can be detected as double-peak narrow emission line galaxies but they are difficult to disentangle from disc rotations and gas outflows. We aim to properly detect such galaxies and distinguish the underlying mechanisms. Relying on…

Astrophysics of Galaxies · Physics 2020-09-30 Daniel Maschmann , Anne-Laure Melchior , Gary A. Mamon , Igor V. Chilingarian , Ivan Yu. Katkov

The multiplexing capability of slitless spectroscopy is a powerful asset in creating large spectroscopic datasets, but issues such as spectral confusion make the interpretation of the data challenging. Here we present a new method to search…

We present complimentary techniques to find emission-line targets and measure their properties in a semi-automated fashion from grism observations obtained with the Advanced Camera for Surveys aboard the Hubble Space Telescope. The first…

We present redshifts for 115 emission line objects in the Hubble Ultra Deep Field (HUDF) identified through the GRism ACS Program for Extragalactic Science (GRAPES) project using the slitless grism spectroscopy mode of the ACS Camera on the…

Context: Massive amounts of spectroscopic data obtained by stellar surveys are feeding an ongoing revolution in our knowledge of stellar and Galactic astrophysics. Analysing these data sets to extract the best possible astrophysical…

Instrumentation and Methods for Astrophysics · Physics 2026-01-14 J. E. Martínez Fernández , S. Özdemir , R. Smiljanic , M. L. L. Dantas , A. R. da Silva

We develop a novel statistical approach to identify emission features or set upper limits in high-resolution spectra in the presence of high background. The method relies on detecting differences from the background using smooth tests and…

Instrumentation and Methods for Astrophysics · Physics 2023-03-10 Xiangyu Zhang , Sara Algeri , Vinay Kashyap , Margarita Karovska

Context. Medium-resolution IFS, such as MUSE at the VLT, are equipped to detect the emission lines of faint accreting companions when associated with dedicated stellar halo subtraction methods. We recently proposed a new approach based on…

Instrumentation and Methods for Astrophysics · Physics 2025-11-26 R. Julo , M. Bonnefoy , F. Chatelain , O. Flasseur , O. J. J. Michel , S. Jorquera , P. Delorme , G. Chauvin

We study the classification and composite spectra of galaxy in the fourth data release (DR4) of the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST). We select 40,182 spectra of galaxies from LAMOST DR4, which have…

The Hubble Space Telescope (HST) Advanced Camera for Surveys (ACS) grism PEARS (Probing Evolution And Reionization Spectroscopically) survey provides a large dataset of low-resolution spectra from thousands of galaxies in the GOODS North…

We present two methods for determining spectroscopic redshifts of galaxies in the DEEP2 survey which display only one identifiable feature, an emission line, in the observed spectrum ("single-line galaxies"). First, we assume each single…

Astrophysics · Physics 2008-11-26 E. N. Kirby , P. Guhathakurta , S. M. Faber , D. C. Koo , B. J. Weiner , M. C. Cooper

We proposed a machine learning approach to identify and distinguish dusty stellar sources employing supervised and unsupervised methods and categorizing point sources, mainly evolved stars, using photometric and spectroscopic data collected…

We present a new database of absorption and emission-line measurements based on the entire spectral atlas from the Sloan Digital Sky Survey (SDSS) 7th data release of galaxies within a redshift of 0.2. Our work makes use of the publicly…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-28 Kyuseok Oh , Marc Sarzi , Kevin Schawinski , Sukyoung K. Yi

Diffuse interstellar bands (DIBs) have been discovered for almost a century, but their nature remains one of the most challenging problems in astronomical spectroscopy. Most recent work to identify and investigate the properties and…

Solar and Stellar Astrophysics · Physics 2015-06-05 Haibo Yuan , Xiaowei Liu

We develop a straightforward and quantitative two-step method for spectroscopically classifying galaxies from the low signal-to-noise (S/N) optical spectra typical of galaxy redshift surveys. First, using \chi^2-fitting of characteristic…

Astrophysics · Physics 2009-10-28 Dennis Zaritsky , Ann I. Zabludoff , Jeffrey A. Willick

We present a catalogue including 11,204 spectra for 10,436 early-type emission-line stars from LAMOST DR2, among which 9,752 early-type emission-line spectra are newly discovered. For these early-type emission-line stars, we discuss the…

Solar and Stellar Astrophysics · Physics 2016-09-28 Wen Hou , ALi Luo , Jingyao Hu , Haifeng Yang , Changde Du , Chao Liu , Chien-De Lee , Chien-Cheng Lin , Yuefei Wang , Yong Zhang , Zihuang Cao , Yonghui Hou
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