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Data analysis challenges in transient gravitational-wave astronomy [PDF]

AIP Conference Proceedings, 2013
Gravitational waves are radiative solutions of space-time dynamics predicted by Einstein's theory of General Relativity. A world-wide array of large-scale and highly sensitive interferometric detectors constantly scrutinizes the geometry of the local space-time with the hope to detect deviations that would signal an impinging gravitational wave from a ...
Chassande-Mottin E., LIGO Scientific Collaboration, Virgo Collaboration, Cuoco E.   +3 more
openaire   +6 more sources

Gravitational wave astrophysics, data analysis and multimessenger astronomy [PDF]

Science China Physics, Mechanics & Astronomy, 2015
This paper reviews gravitational wave sources and their detection. One of the most exciting potential sources of gravitational waves are coalescing binary black hole systems. They can occur on all mass scales and be formed in numerous ways, many of which are not understood.
Hyung Mok Lee, Eric-Olivier Le Bigot, Zhihui Du, Zhangxi Lin, Xiangyu Guo, LinQing Wen, Khun Sang Phukon, Vihan Pandey, Sukanta Bose, Xi-Long Fan, Martin Hendry   +10 more
openaire   +3 more sources

Bayesian Functional Data Analysis in Astronomy

Physical Sciences Forum
Cosmic demographics—the statistical study of populations of astrophysical objects—has long relied on tools from multivariate statistics for analyzing data comprising fixed-length vectors of properties of objects, as might be compiled in a tabular ...
Thomas Loredo, Tamás Budavári, David Kent, David Ruppert   +3 more
doaj   +3 more sources

A Model Estimator for Noisy Compact Emission Recovery in Radio Synthesis Imaging

The Astronomical Journal, 2023
Reconstruction of a noisy compact emission must consider not only the point-spread function but also the effect of noise. However, the traditional threshold method in widely-used CLEAN-based algorithms finds it difficult to effectively prevent noise in ...
L. Zhang, M. Zhang, B. Wang
doaj   +1 more source

The Spitzer Coverage of HSC-Deep with IRAC for Z studies (SHIRAZ). I. IRAC Mosaics

The Astronomical Journal, 2023
We present new Spitzer Infrared Array Camera (IRAC) 3.6 and 4.5 μ m mosaics of three fields, E-COSMOS, DEEP2-F3, and ELAIS-N1. Our mosaics include both new IRAC observations as well as reprocessed archival data in these fields.
Marianna Annunziatella, Anna Sajina, Mauro Stefanon, Danilo Marchesini, Mark Lacy, Ivo Labbé, Lilianna Houston, Rachel Bezanson, Eiichi Egami, Xiaohui Fan, Duncan Farrah, Jenny Greene, Andy Goulding, Yen-Ting Lin, Xin Liu, Thibaud Moutard, Yoshiaki Ono, Masami Ouchi, Marcin Sawicki, Jason Surace, Katherine Whitaker   +20 more
doaj   +1 more source

Minimal re-computation for exploratory data analysis in astronomy [PDF]

Astronomy and Computing, 2018
We present a technique to automatically minimise the re-computation when a data processing program is iteratively changed, or added to, as is often the case in exploratory data analysis in radio astronomy. A typical example is flagging and calibration of demanding or unusual observations where visual inspection suggests improvement to the processing ...
Nikolic, B, Small, D, Kettenis, M
openaire   +3 more sources

Kepler Bonus: Light Curves of Kepler Background Sources

The Astronomical Journal, 2023
NASA’s Kepler primary mission observed about 116 deg ^2 in the sky for 3.5 consecutive years to discover Earth-like exoplanets. This mission recorded pixel cutouts, known as target pixel files (TPFs), of over 200,000 targets that were selected to ...
Jorge Martínez-Palomera, Christina Hedges, Jessie Dotson   +2 more
doaj   +1 more source

A Machine-learning Approach to Predict Missing Flux Densities in Multiband Galaxy Surveys

The Astrophysical Journal, 2023
We present a new method based on information theory to find the optimal number of bands required to measure the physical properties of galaxies with desired accuracy.
Nima Chartab, Bahram Mobasher, Asantha R. Cooray, Shoubaneh Hemmati, Zahra Sattari, Henry C. Ferguson, David B. Sanders, John R. Weaver, Daniel K. Stern, Henry J. McCracken, Daniel C. Masters, Sune Toft, Peter L. Capak, Iary Davidzon, Mark E. Dickinson, Jason Rhodes, Andrea Moneti, Olivier Ilbert, Lukas Zalesky, Conor J. R. McPartland, István Szapudi, Anton M. Koekemoer, Harry I. Teplitz, Mauro Giavalisco   +23 more
doaj   +1 more source

Alert Classification for the ALeRCE Broker System: The Anomaly Detector

The Astronomical Journal, 2023
Astronomical broker systems, such as Automatic Learning for the Rapid Classification of Events (ALeRCE), are currently analyzing hundreds of thousands of alerts per night, opening up an opportunity to automatically detect anomalous unknown sources.
Manuel Perez-Carrasco, Guillermo Cabrera-Vives, Lorena Hernandez-García, F. Förster, Paula Sanchez-Saez, Alejandra M. Muñoz Arancibia, Javier Arredondo, Nicolás Astorga, Franz E. Bauer, Amelia Bayo, M. Catelan, Raya Dastidar, P. A. Estévez, Paulina Lira, Giuliano Pignata   +14 more
doaj   +1 more source

Automatic Classification of Spectra with IEF-SCNN

Universe, 2023
Telescopes such as the Large Sky Area Multi-Object Spectroscopic Telescope and the Sloan Digital Sky Survey have produced an extensive collection of spectra, challenging the feasibility of manual classification in terms of accuracy and efficiency.
Jingjing Wu, Yanxia Zhang, Meixia Qu, Bin Jiang, Wenyu Wang   +4 more
doaj   +1 more source