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The Halo Assembly in Lambda Cold Dark Matter: Observations in 7 Dimensions (HALO7D) survey measures the kinematics and chemical properties of stars in the Milky Way (MW) stellar halo to learn about the formation of our Galaxy. HALO7D…

Massive stars condition the evolution of the interstellar medium by the amount of energy released during their lives and especially by their deaths as supernova explosions. The vast amounts of spectroscopic data for massive stars provided…

太阳与恒星天体物理 · 物理学 2024-01-11 Klaus Rubke , Amparo Marco , Ignacio Negueruela , Artemio Herrero , Sergio Simon-Diaz , Hugo Tabernero , Lee Patrick

This paper presents an overview of several modeling tools for analyzing molecular line observations at submillimeter wavelengths. These tools are already proving to be very valuable for the interpretation of data from current telescopes,…

天体物理学 · 物理学 2007-05-23 Floris van der Tak , Michiel Hogerheijde

The non-Maxwellian $\kappa$-distributions have been detected in the solar transition region and flares. These distributions are characterized by a high-energy tail and a near-Maxwellian core and are known to have significant impact on the…

太阳与恒星天体物理 · 物理学 2015-06-23 Elena Dzifčáková , Jaroslav Dudík , Pavel Kotrč , František Fárník , Alena Zemanová

We have compiled the first all-sky mid-infrared variable-star catalog based on Wide-field Infrared Survey Explorer (WISE) five-year survey data. Requiring more than 100 detections for a given object, 50,282 carefully and robustly selected…

太阳与恒星天体物理 · 物理学 2018-08-08 Xiaodian Chen , Shu Wang , Licai Deng , Richard de Grijs , Ming Yang

Molecular lines are powerful diagnostics of the physical and chemical properties of the interstellar medium (ISM). These ISM properties, which affect future star formation, are expected to differ in starburst galaxies from those of more…

Automated semantic segmentation and object detection are of great importance in geospatial data analysis. However, supervised machine learning systems such as convolutional neural networks require large corpora of annotated training data.…

计算机视觉与模式识别 · 计算机科学 2021-07-20 Michael Kölle , Dominik Laupheimer , Stefan Schmohl , Norbert Haala , Franz Rottensteiner , Jan Dirk Wegner , Hugo Ledoux

\textquotedblleft Stark" broadening theories and calculations have been extensively developed for about 50 years and can now be applied to many needs, especially for accurate spectroscopic diagnostics and modeling. This requires the…

太阳与恒星天体物理 · 物理学 2015-06-17 Sylvie Sahal-Bréchot , Milan S. Dimitrijević , Nicolas Moreau , Nabil Ben Nessib

Radiative transfer calculations have predicted intensity enhancements for optically thick emission lines, as opposed to the normal intensity reductions, for astrophysical plasmas under certain conditions. In particular, the results are…

太阳与恒星天体物理 · 物理学 2015-05-30 F. P. Keenan , D. J. Christian , S. J. Rose , M. Mathioudakis

The high dimensionality of hyperspectral images consisting of several bands often imposes a big computational challenge for image processing. Therefore, spectral band selection is an essential step for removing the irrelevant, noisy and…

计算机视觉与模式识别 · 计算机科学 2022-10-27 A. Elmaizi , E. Sarhrouni , A. Hammouch , C. Nacir

We present an update of the parsec scale properties of the Bologna Complete Sample consisting of 95 radio sources from the B2 Catalog of Radio Sources and the Third Cambridge Revised Catalog (3CR), with z < 0.1. Thanks to recent new data we…

天体物理学 · 物理学 2014-11-18 G. Giovannini , E. Liuzzo , M. Giroletti , G. B. Taylor

AST3-1 is the second-generation wide-field optical photometric telescope dedicated to time domain astronomy at Dome A, Antarctica. Here we present the results of $i$ band images survey from AST3-1 towards one Galactic disk field. Based on…

Like every other field of intellectual endeavor, astronomy is being revolutionised by the advances in information technology. There is an ongoing exponential growth in the volume, quality, and complexity of astronomical data sets, mainly…

天体物理学 · 物理学 2009-11-07 S. G. Djorgovski , A. Mahabal , R. Brunner , R. Williams , R. Granat , D. Curkendall , J. Jacob , P. Stolorz

Context. In the current ever increasing data volumes of astronomical surveys, automated methods are essential. Objects of known classes from the literature are necessary for training supervised machine learning algorithms, as well as for…

The Hubble Space Telescope (HST) has obtained multi-epoch observations providing the opportunity for a comprehensive variability search aiming to uncover new variables. We have therefore undertaken the task of creating a catalog of variable…

The recent realizations of topological valley phase in photonic crystal, an analog of gapped valleytronic materials in electronic system, are limited to the valley Chern number of one. In this letter, we present a new type of valley phase…

光学 · 物理学 2020-04-02 Xiang Xi , Kang-Ping Ye , Rui-Xin Wu

This is a summary of the 2013 release of the plasma simulation code Cloudy. Cloudy models the ionization, chemical, and thermal state of material that may be exposed to an external radiation field or other source of heating, and predicts…

We present low resolution spectroscopic observations for a sample of 53 planetary nebulae (PNe) located in the southern sky between Vela and Norma constellations and pertaining to the Galactic disk with expected Galactocentric distance…

太阳与恒星天体物理 · 物理学 2015-06-19 S. K. Górny

As groups of coeval stars born from the same molecular cloud, an Open cluster (OC) is an ideal laboratory for studying the structure and dynamical evolution of the Milky Way. The release of High-Precision Gaia Early Data Release 3 (Gaia…

星系天体物理 · 物理学 2023-05-31 Huanbin Chi , Feng Wang , Zhongmu Li

We apply the model-agnostic anomaly detection method Cathode - originally developed for particle physics - to search for stellar streams in Gaia data. We combine Cathode with Via Machinae 3.0: a re-optimized version of the stellar stream…

星系天体物理 · 物理学 2025-09-11 Anna Hallin , David Shih , Claudius Krause , Matthew R. Buckley