Results 61 to 70 of about 119 (87)

PLANETARY CANDIDATES OBSERVED BY Kepler. VIII. A FULLY AUTOMATED CATALOG WITH MEASURED COMPLETENESS AND RELIABILITY BASED ON DATA RELEASE 25. [PDF]

Astrophys J Suppl Ser, 2018
Thompson SE, Coughlin JL, Hoffman K, Mullally F, Mullally F, Christiansen JL, Burke CJ, Bryson S, Batalha N, Haas MR, Catanzarite J, Rowe JF, Barentsen G, Caldwell DA, Clarke BD, Jenkins JM, Li J, Latham DW, Lissauer JJ, Mathur S, Morris RL, Seader SE, Smith JC, Klaus TC, Twicken JD, Van Cleve JE, Wohler B, Akeson R, Ciardi DR, Cochran WD, Henze CE, Howell SB, Huber D, Prša A, Ramírez SV, Morton TD, Barclay T, Campbell JR, Chaplin WJ, Charbonneau D, Christensen-Dalsgaard J, Dotson JL, Doyle L, Dunham EW, Dupree AK, Ford EB, Geary JC, Girouard FR, Isaacson H, Kjeldsen H, Quintana EV, Ragozzine D, Shporer A, Aguirre VS, Steffen JH, Still M, Tenenbaum P, Welsh WF, Wolfgang A, Zamudio KA, Koch DG, Borucki WJ.   +61 more
europepmc   +1 more source

Advanced Spatial Methods for Astrophysics

Ultra-Diffuse Galaxies (UDGs) are faint, extended systems with extremely low surface brightness and large physical sizes that challenge standard galaxy formation models. Despite their faintness, many UDGs host numerous globular clusters (GCs) --- massive
Li, Dayi
core  

QHSC: The Quasar Candidate Catalog for the Hyper Suprime-Cam Subaru Strategic Program

The Astrophysical Journal Supplement Series
The Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP) is a deep wide-field multiband imaging survey consisting of three layers (Wide, Deep, and UltraDeep), with the Wide layer covering ∼1470 deg ^2 to a depth of i  ∼ 26 mag.
Rui Zhu, Xue-Bing Wu, Yuxuan Pang, Yuming Fu   +3 more
doaj   +1 more source

Advanced Weights for IXPE Polarization Analysis

The Astrophysical Journal
As the Imaging X-ray Polarimetry Explorer (IXPE) measures increasingly faint sources, the need for precise polarimetry extraction becomes paramount. In addition to previously described neural-net weights, we introduce here point-spread function weights ...
Jack T. Dinsmore, Roger W. Romani
doaj   +1 more source

Data-space Validation of High-dimensional Models by Comparing Sample Quantiles

The Astrophysical Journal Supplement Series
We present a simple method for assessing the predictive performance of high-dimensional models directly in data space when only samples are available.
Stephen Thorp, Hiranya V. Peiris, Daniel J. Mortlock, Justin Alsing, Boris Leistedt, Sinan Deger   +5 more
doaj   +1 more source

The CatSouth Quasar Candidate Catalog for the Southern Sky and a Unified All-sky Catalog Based on Gaia DR3

The Astrophysical Journal Supplement Series
The Gaia DR3 has provided a large sample of more than 6.6 million quasar candidates with high completeness but low purity. Previous work on the CatNorth quasar candidate catalog has shown that including external multiband data and applying machine ...
Yuming Fu, Xue-Bing Wu, R. J. Bouwens, Karina I. Caputi, Yuxuan Pang, Rui Zhu, Da-Ming Yang, Jin Qin, Huimei Wang, Christian Wolf, Yifan Li, Ravi Joshi, Yanxia Zhang, Zhi-Ying Huo, Y. L. Ai   +14 more
doaj   +1 more source

A Poisson Process AutoDecoder for X-Ray Sources

The Astrophysical Journal
X-ray observing facilities, such as the Chandra X-ray Observatory and the eROSITA, have detected over a million astronomical sources associated with high-energy phenomena.
Yanke Song, V. Ashley Villar, Rafael Martínez-Galarza, Steven Dillmann   +3 more
doaj   +1 more source

Gamma-Ray Burst Detection with Poisson-FOCuS and Other Trigger Algorithms

The Astrophysical Journal
We describe how a novel online change-point detection algorithm, called Poisson-FOCuS, can be used to optimally detect gamma-ray bursts within the computational constraints imposed by miniaturized satellites such as the upcoming HERMES-Pathfinder ...
Giuseppe Dilillo, Kes Ward, Idris A. Eckley, Paul Fearnhead, Riccardo Crupi, Yuri Evangelista, Andrea Vacchi, Fabrizio Fiore   +7 more
doaj   +1 more source

C3NN: Cosmological Correlator Convolutional Neural Network an Interpretable Machine-learning Framework for Cosmological Analyses

The Astrophysical Journal
Modern cosmological research in large-scale structure has witnessed an increasing number of machine-learning applications. Among them, convolutional neural networks (CNNs) have received substantial attention due to their outstanding performance in image ...
Zhengyangguang Gong, Anik Halder, Annabelle Bohrdt, Stella Seitz, David Gebauer   +4 more
doaj   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Introduction to papers on astrostatistics

Annals of Applied Statistics, 2009
Thomas J Loredo, Michael L Stein
exaly