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Large High Altitude Air Shower Observatory(LHAASO) is a composite cosmic ray observatory consisting of three detector arrays: kilometer square array (KM2A) which includes the electromagnetic detector array and muon detector array, water…

High Energy Astrophysical Phenomena · Physics 2019-04-22 L. Q. Yin , S. S. Zhang , Z. Cao , B. Y. Bi , C. Wang , J. L. Liu , L. L. Ma , M. J. Yang , Tiina Suomijarvi , Y. Zhang , Z. Y. You , Z. Z Zong

In this work, we present Stellar Spectra Factory (SSF), a tool to generate empirical-based stellar spectra from arbitrary stellar atmospheric parameters. The relative flux-calibrated empirical spectra can be predicted by SSF given arbitrary…

Solar and Stellar Astrophysics · Physics 2023-05-10 Wei Ji , Chao Liu , Bo Zhang

The AMBRE Project is a collaboration between the European Southern Observatory (ESO) and the Observatoire de la Cote d'Azur (OCA) that has been established in order to carry out the determination of stellar atmospheric parameters for the…

Instrumentation and Methods for Astrophysics · Physics 2015-06-04 C. C. Worley , P. de Laverny , A. Recio-Blanco , V. Hill , A. Bijaoui , C. Ordenovic

Comparisons of atmospheric retrievals can reveal powerful insights on the strengths and limitations of our data and modeling tools. In this paper, we examine a sample of 5 similar effective temperature (Teff) or spectral type L dwarfs to…

Earth and Planetary Astrophysics · Physics 2022-10-26 Eileen C. Gonzales , Ben Burningham , Jacqueline K. Faherty , Nikole K. Lewis , Channon Visscher , Mark Marley

Soft-thresholding is a sparse modeling method that is typically applied to wavelet denoising in statistical signal processing and analysis. It has a single parameter that controls a threshold level on wavelet coefficients and,…

Methodology · Statistics 2016-02-01 Katsuyuki Hagiwara

This study proposes sparse estimation methods for the generalized linear models, which run one of least angle regression (LARS) and least absolute shrinkage and selection operator (LASSO) in the tangent space of the manifold of the…

Machine Learning · Statistics 2020-07-20 Yoshihiro Hirose

We present a sparse analogue to stochastic gradient descent that is guaranteed to perform well under similar conditions to the lasso. In the linear regression setup with irrepresentable noise features, our algorithm recovers the support set…

Statistics Theory · Mathematics 2014-12-16 Jacob Steinhardt , Stefan Wager , Percy Liang

Air pollution is a vital issue emerging from the uncontrolled utilization of traditional energy sources as far as developing countries are concerned. Hence, ingenious air pollution forecasting methods are indispensable to minimize the risk.…

Machine Learning · Computer Science 2022-11-29 Dhanalakshmi M , Radha V

Context. Stellar parameters are among the most important characteristics in studies of stars, which are based on atmosphere models in traditional methods. However, time cost and brightness limits restrain the efficiency of spectral…

Accurate estimation of thermospheric density is critical for precise modeling of satellite drag forces in low Earth orbit (LEO). Improving this estimation is crucial to tasks such as state estimation, collision avoidance, and re-entry…

In this paper we quantify the performances of an automated weather forecast system implemented on the Large Binocular Telescope (LBT) site at Mt. Graham (Arizona) in forecasting the main atmospheric parameters close to the ground. The…

Instrumentation and Methods for Astrophysics · Physics 2017-01-26 Alessio Turchi , Elena Masciadri , Luca Fini

We present a method for deriving stellar fundamental parameters. It is based on a regularized sliced inverse regression (RSIR). We first tested it on noisy synthetic spectra of A, F, G, and K-type stars, and inverted simultaneously their…

Solar and Stellar Astrophysics · Physics 2019-01-31 S. Kassounian , M. Gebran , F. Paletou , V. Watson

Massively multiplexed spectrographs will soon gather large statistical samples of stellar spectra. The accurate estimation of uncertainties on derived parameters, such as line-of-sight velocity $v_\mathrm{los}$, especially for spectra with…

Instrumentation and Methods for Astrophysics · Physics 2024-07-23 László Dobos , Alexander S. Szalay , Tamás Budavári , Evan N. Kirby , Robert H. Lupton , Rosemary F. G. Wyse

M-dwarfs are emerging in the literature as promising targets for detecting low-mass, Earth-like planets. An important step in this process is to determine the stellar parameters of the M-dwarf host star as accurately as possible. Different…

Solar and Stellar Astrophysics · Physics 2015-05-20 I. Bozhinova , Ch. Helling , A. Scholz

Stellar models have been computed for stars having [Fe/H] = 0.0 and -2.0 to determine the effects of using boundary conditions derived from the latest MARCS model atmospheres. The latter were fitted to the interior models at both the…

Astrophysics · Physics 2009-11-13 Don A. VandenBerg , Bengt Edvardsson , Kjell Eriksson , Bengt Gustafsson

We report on a spectroscopic determination of the atmospheric parameters and chemical abundance of the parent star of the recently discovered transiting planet {TrES-2}. A detailed LTE analysis of a set of \ion{Fe}{1} and \ion{Fe}{2} lines…

We carried out low resolution spectroscopic observations in the wavelength range 3400-4700 A of 20 He-weak and 8 He-strong stars to determine their fundamental parameters by means of the Divan-Chalonge-Barbier (BCD) spectrophotometric…

Astrophysics · Physics 2009-11-13 L. S. Cidale , M. L. Arias , A. F. Torres , J. Zorec , Y. Frémat , A. Cruzado

We present an automated procedure that derives simultaneously the effective temperature $T_{eff}$, the surface gravity logg, the metallicity [Fe/H], and the equatorial projected rotational velocity vsini for "normal" A and Am stars. The…

Instrumentation and Methods for Astrophysics · Physics 2016-04-20 M. Gebran , W. Farah , F. Paletou , R. Monier , V. Watson

With the availability of multi-object spectrometers and the designing \& running of some large scale sky surveys, we are obtaining massive spectra. Therefore, it becomes more and more important to deal with the massive spectral data…

Instrumentation and Methods for Astrophysics · Physics 2023-12-27 Xiangru Li , Yangtao Lin , Kaibin Qiu

We present the overview of the MOSE project (MOdeling ESO Sites) aiming at proving the feasibility of the forecast of the classical atmospherical parameters (wind speed intensity and direction, temperature, relative humidity) and the…

Instrumentation and Methods for Astrophysics · Physics 2013-09-27 E. Masciadri , F. Lascaux , L. Fini