Results 51 to 60 of about 357 (112)

Disentangling Multiple Emitting Components in Molecular Observations with Nonnegative Matrix Factorization

The Astrophysical Journal
Molecular emission from the galactic and extragalactic interstellar medium (ISM) is often used to determine the physical conditions of the dense gas. However, even from spatially resolved regions, the observed molecules do not necessarily arise from a ...
Damien de Mijolla, Jonathan Holdship, Serena Viti, Johannes Heyl   +3 more
doaj   +1 more source

Regression for Astronomical Data with Realistic Distributions, Errors, and Nonlinearity

The Astronomical Journal
We have developed a new regression technique, the maximum likelihood (ML)–based method and its variant, the Kolmogorov–Smirnov (KS) test–based method, designed to obtain unbiased regression results from typical astronomical data. A normalizing flow model
Tao Jing, Cheng Li
doaj   +1 more source

High-energy Neutrino Source Cross-correlations with Nearest-neighbor Distributions

The Astrophysical Journal
The astrophysical origins of the majority of the IceCube neutrinos remain unknown. Effectively characterizing the spatial distribution of the neutrino samples and associating the events with astrophysical source catalogs can be challenging given the ...
Zhuoyang Zhou, Jessi Cisewski-Kehe, Ke Fang, Arka Banerjee   +3 more
doaj   +1 more source

ABC-SN: Attention-based Classifier for Supernova Spectra

The Astrophysical Journal
While significant advances have been made in photometric classification ahead of the millions of transient events and hundreds of supernovae (SNe) each night that the Vera C.
Willow Fox Fortino, Federica B. Bianco, Pavlos Protopapas, Daniel Muthukrishna, Austin Brockmeier   +4 more
doaj   +1 more source

Polka-dotted Stars: A Hierarchical Model for Mapping Stellar Surfaces Using Occultation Light Curves and the Case of TOI-3884

The Astrophysical Journal
We present StarryStarryProcess , a novel hierarchical Bayesian framework for mapping stellar surfaces using exoplanet transit light curves. While previous methods relied solely on stellar rotational light curves—which contain limited information about ...
Sabina Sagynbayeva, Will M. Farr, Brett M. Morris, Rodrigo Luger   +3 more
doaj   +1 more source

Astro2020 Science White Paper: The Next Decade of Astroinformatics and Astrostatistics

, 2019
Over the past century, major advances in astronomy and astrophysics have been largely driven by improvements in instrumentation and data collection. With the amassing of high quality data from new telescopes, and especially with the advent of deep and large astronomical surveys, it is becoming clear that future advances will also rely heavily on how ...
Siemiginowska, A., Eadie, G., Czekala, I., Feigelson, E., Ford, E. B., Kashyap, V., Kuhn, M., Loredo, T., Ntampaka, M., Stevens, A., Avelino, A., Borne, K., Budavari, T., Burkhart, B., Cisewski-Kehe, J., Civano, F., Chilingarian, I., van Dyk, D. A., Fabbiano, G., Finkbeiner, D. P., Foreman-Mackey, D., Freeman, P., Fruscione, A., Goodman, A. A., Graham, M., Guenther, H. M., Hakkila, J., Hernquist, L., Huppenkothen, D., James, D. J., Law, C., Lazio, J., Lee, T., López-Morales, M., Mahabal, A. A., Mandel, K., Meng, X. L., Moustakas, J., Muna, D., Peek, J. E. G., Richards, G., Portillo, S. K. N., Scargle, J., de Souza, R. S., Speagle, J. S., Stassun, K. G., Stenning, D. C., Taylor, S. R., Tremblay, G. R., Trimble, V., Yanamandra-Fisher, P. A., Young, C. A.   +51 more
openaire   +2 more sources

Unsupervised classification of eclipsing binary light curves through k-medoids clustering. [PDF]

J Appl Stat, 2020
Modak S, Chattopadhyay T, Chattopadhyay AK.   +2 more
europepmc   +1 more source

paired: A Statistical Framework for Detecting Stellar Binarity with Gaia RVs. I. Sensitivity to Unresolved Binaries

The Astrophysical Journal
Data Release 3 (DR3) from the Gaia Mission includes radial velocity measurements of over 33 million targets. Among many scientific applications, the overlap of this stellar sample with targeted exoplanet transit survey stars presents an opportunity to ...
Quadry Chance, Daniel Foreman-Mackey, Sarah Ballard, Andrew R. Casey, Trevor J. David, Adrian M. Price-Whelan   +5 more
doaj   +1 more source

Galaxies in haystacks: astrostatistics and the Gaia mission

, 2023
Talk given at the 2023 Joint Statistical Meetings " True North Strong and…Amazing at Astrostatistics! " invited paper session. Current file is a placeholder so I could generate a QR code. Will update.
openaire   +1 more source

Computational AstroStatistics: Fast Algorithms and Efficient Statistics for Density Estimation in Large Astronomical Datasets

, 2000
We present initial results on the use of Mixture Models for density estimation in large astronomical databases. We provide herein both the theoretical and experimental background for using a mixture model of Gaussians based on the Expectation Maximization (EM) Algorithm.
Nichol, R. C., Connolly, A. J., Moore, A. W., Schneider, J., Genovese, C., Wasserman, L.   +5 more
openaire   +2 more sources