Results 61 to 70 of about 1,035 (121)

New Organizations to Support Astroinformatics and Astrostatistics

, 2013
In the past two years, the environment within which astronomers conduct their data analysis and management has rapidly changed. Working Groups associated with international societies and Big Data projects have emerged to support and stimulate the new fields of astroinformatics and astrostatistics.
Feigelson, Eric D., Ivezić, Željko, Hilbe, Joseph, Borne, Kirk D.   +3 more
openaire   +2 more sources

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

Quantification of High-dimensional Non-Gaussianities and Its Implication to Fisher Analysis in Cosmology. [PDF]

Astrophys J, 2023
Park CF, Allys E, Villaescusa-Navarro F, Finkbeiner D.   +3 more
europepmc   +1 more source

Statistical Validation of Multiple Related Data Sets—Case Study Using Interstellar Boundary Explorer Satellite Data

The Astrophysical Journal
Space scientists often face the question of whether data collected by different instruments are measurements of the same source population. This paper proposes a statistical validation method for evaluating the agreement between such related data sets ...
Kelly R. Moran, Dave Osthus, Brian P. Weaver, Lauren J. Beesley, Madeline A. Stricklin, Paul H. Janzen, Daniel B. Reisenfeld   +6 more
doaj   +1 more source

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

Astrocladistics: Multivariate Evolutionary Analysis in Astrophysics

, 2009
The Hubble tuning fork diagram, based on morphology and established in the 1930s, has always been the preferred scheme for classification of galaxies. However, the current large amount of data up to higher and higher redshifts asks for more sophisticated
Fraix-Burnet, Didier
core   +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

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

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

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