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The physical nature of the sdA stars---cool hydrogen-rich objects with spectroscopic surface gravities intermediate between main sequence and canonical mass white dwarfs---has been elusive since they were found in Sloan Digital Sky Survey…

Solar and Stellar Astrophysics · Physics 2018-11-28 Ingrid Pelisoli , Keaton J. Bell , S. O. Kepler , D. Koester

The initial-final mass relation (IFMR) links a star's birth mass to the mass of its white dwarf (WD) remnant, providing key constraints on stellar evolution. Open clusters offer the most straightforward way to empirically determine the…

Due to magnitude limits, the Gaia survey will not delve as deeply into the local population of brown dwarfs as it will other stellar populations. While hundreds or thousands of brown dwarfs will be measured by Gaia, we propose a different,…

Solar and Stellar Astrophysics · Physics 2014-06-11 A. R Riedel

We have conducted a survey of 61 southern white dwarfs searching for magnetic fields using Zeeman spectropolarimetry. Our objective is to obtain a magnetic field distribution for these objects and, in particular, to find white dwarfs with…

Astrophysics · Physics 2008-11-26 A. Kawka , S. Vennes , G. D. Schmidt , D. T. Wickramasinghe , R. Koch

The Gaia Data Release 3 (DR3) contains reflectance spectra at visible wavelengths for 60,518 asteroids over the range between 374-1034 nm, representing a large sample that is well suited to studies of asteroid families. We want to assess…

Earth and Planetary Astrophysics · Physics 2024-08-28 Roberto Balossi , Paolo Tanga , Alexey Sergeyev , Alberto Cellino , Federica Spoto

The Gaia Data Release 3 (DR3), published in June 2022, delivers a diverse set of astrometric, photometric, and spectroscopic measurements for more than a billion stars. The wealth and complexity of the data makes traditional approaches for…

Astrophysics of Galaxies · Physics 2023-02-15 F. Anders , A. Khalatyan , A. B. A. Queiroz , S. Nepal , C. Chiappini

An algorithm to improve performance parameter for unsupervised decision forest clustering and density estimation is presented. Specifically, a dual assignment parameter is introduced as a density estimator by combining Random Forest and…

Computer Vision and Pattern Recognition · Computer Science 2015-07-19 Hayder Albehadili , Naz Islam

In this paper, we modify the proof methods of some previously weakly consistent variants of random forests into strongly consistent proof methods, and improve the data utilization of these variants in order to obtain better theoretical…

Machine Learning · Computer Science 2023-10-17 JunHao Chen

We present a wavelet-based algorithm to identify dwarf galaxies in the Milky Way in ${\it Gaia}$ DR2 data. Our algorithm detects overdensities in 4D position--proper motion space, making it the first search to explicitly use velocity…

Astrophysics of Galaxies · Physics 2021-07-15 Elise Darragh-Ford , Ethan O. Nadler , Sean McLaughlin , Risa H. Wechsler

Aims. We present a method, named photo-type, to identify and accurately classify L and T dwarfs onto the standard spectral classification system using photometry alone. This enables the creation of large and deep homogeneous samples of…

Instrumentation and Methods for Astrophysics · Physics 2015-06-23 Nathalie Skrzypek , Stephen J. Warren , Jacqueline K. Faherty , Daniel J. Mortlock , Adam J. Burgasser , Paul C. Hewett

In this article, we strengthen the proof methods of some previously weakly consistent variants of random forests into strongly consistent proof methods, and improve the data utilization of these variants, in order to obtain better…

Machine Learning · Statistics 2023-04-11 Junhao Chen , Xueli wang

We present observational constraints on the initial-final mass relation (IFMR) using wide double white dwarfs (DWDs). We identify 65 new candidate wide DWDs within the Sloan Digital Sky Survey, bringing the number of candidate wide DWDs to…

Solar and Stellar Astrophysics · Physics 2015-12-16 Jeff J. Andrews , Marcel A. Agüeros , A. Gianninas , Mukremin Kilic , Saurav Dhital , Scott F. Anderson

Random Forest is a machine learning method that offers many advantages, including the ability to easily measure variable importance. Class balancing technique is a well-known solution to deal with class imbalance problem. However, it has…

Machine Learning · Statistics 2023-12-19 Yunbi Nam , Sunwoo Han

We have carried out a search for massive white dwarfs (WDs) in the direction of young open star clusters using the Gaia DR2 database. The aim of this survey was to provide robust data for new and previously known high-mass WDs regarding…

Solar and Stellar Astrophysics · Physics 2021-05-26 Harvey B. Richer , Ilaria Caiazzo , Helen Du , Steffani Grondin , James Hegarty , Jeremy Heyl , Ronan Kerr , David R. Miller , Sarah Thiele

White dwarf photospheric parameters are usually obtained by means of spectroscopic or photometric analysis. These results are not always consistent with each other, with the published values often including just the statistical…

Context: The local census of very low-mass stars and brown dwarfs is crucial to improving our understanding of the stellar-substellar transition and their formation history. These objects, known as ultra-cool dwarfs (UCDs), are essential…

A significant fraction of white dwarfs, the degenerate remnants of low- and intermediate-mass stars, host strong magnetic fields; yet, the origin and evolution of these magnetic fields remain poorly understood. Building a large,…

Solar and Stellar Astrophysics · Physics 2026-03-24 Larissa L. Amorim , S. O. Kepler , Alejandra D. Romero

The ESA Gaia space mission has revealed a bifurcation of the white dwarf (WD) sequence on the color magnitude diagram in two branches: A and B. While the A branch consists mostly of WDs with H-rich atmospheres, the B branch is not…

Prediction in high dimensional settings is difficult due to large by number of variables relative to the sample size. We demonstrate how auxiliary "co-data" can be used to improve the performance of a Random Forest in such a setting.…

Applications · Statistics 2017-06-05 Dennis E. te Beest , Steven W. Mes , Ruud H. Brakenhoff , Mark A. van de Wiel

We present a coherent and detailed Monte Carlo simulation of the population of hot white dwarfs. We assess the statistical significance of the hot end of the white dwarf luminosity function and the role played by the bolometric corrections…

Astrophysics of Galaxies · Physics 2015-06-18 S. Torres , E. García-Berro , J. Krzesinski , S. J. Kleinman