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The study of temporal properties of variable sources can elucidate their physical processes. In this context, we present a critical study comparing three approaches to periodic or quasiperiodic behavior: Gaussian process, power spectrum,…

High Energy Astrophysical Phenomena · Physics 2024-05-08 Fei-Fan Song , Jirong Mao

Mutual gravitation between a pulsating star and an orbital companion leads to a time-dependent variation in path length for starlight traveling to Earth. These variations can be used for coherently pulsating stars, such as the {\delta}…

Solar and Stellar Astrophysics · Physics 2020-04-22 Daniel R. Hey , Simon J. Murphy , Daniel Foreman-Mackey , Timothy R. Bedding , Benjamin J. S. Pope , David W. Hogg

We present a new few-parameter phenomenological model of light curves of eclipsing binaries and stars with transiting planets that is able to fit the observed light curves with the accuracy better than 1\% of their amplitudes. The model can…

Solar and Stellar Astrophysics · Physics 2015-02-27 Zdeněk Mikulášek , Miloslav Zejda , Theodor Pribulla , Martin Vaňko , Shen-Bang Qian , Li-Ying Zhu

Context: Transit surveys, both ground- and space- based, have already accumulated a large number of light curves that span several years. Aims: The search for transiting planets in these long time series is computationally intensive. We…

Earth and Planetary Astrophysics · Physics 2015-06-16 Aviv Ofir

The rotational state of asteroids is controlled by various physical mechanisms including collisions, internal damping and the Yarkovsky-O'Keefe-Radzievskii-Paddack (YORP) effect. We have analysed the changes in magnitude between consecutive…

Earth and Planetary Astrophysics · Physics 2016-04-18 A. McNeill , A. Fitzsimmons , R. Jedicke , R. Wainscoat , L. Denneau , P. Veres , E. Magnier , K. C. Chambers , N. Kaiser , C. Waters

One of the fundamental tasks of science is to find explainable relationships between observed phenomena. One approach to this task that has received attention in recent years is based on probabilistic graphical modelling with sparsity…

Machine Learning · Statistics 2014-04-16 Peter Orchard , Felix Agakov , Amos Storkey

Gaussian Processes (GPs) are Bayesian models that provide uncertainty estimates associated to the predictions made. They are also very flexible due to their non-parametric nature. Nevertheless, GPs suffer from poor scalability as the number…

Machine Learning · Computer Science 2021-07-16 Bahram Jafrasteh , Carlos Villacampa-Calvo , Daniel Hernández-Lobato

Particle-based representations of radiance fields such as 3D Gaussian Splatting have found great success for reconstructing and re-rendering of complex scenes. Most existing methods render particles via rasterization, projecting them to…

The nearly continuous light curves with micromagnitude precision provided by the space mission Kepler are revolutionising our view of pulsating stars. They have revealed a vast sea of low-amplitude pulsation modes that were undetectable…

Transient phenomena are interesting and potentially highly revealing of details about the processes under observation and study that could otherwise go unnoticed. It is therefore important to maximize the sensitivity of the method used to…

Instrumentation and Methods for Astrophysics · Physics 2017-12-05 G. Belanger

State space models are well-known for their versatility in modeling dynamic systems that arise in various scientific disciplines. Although parametric state space models are well studied, nonparametric approaches are much less explored in…

Methodology · Statistics 2015-07-23 Satyaki Mazumder , Sourabh Bhattacharya

The Euclid Ecliptic Survey was conducted during the calibration phase of the mission, 23-31 December 2023, as a campaign to study Solar System objects. We used data from this survey to analyse more than 23 000 appeareances of 2321 known…

Earth and Planetary Astrophysics · Physics 2026-04-29 B. Y. Irureta-Goyena , B. Altieri , J. -P. Kneib , M. Pöntinen , O. R. Hainaut , M. R. Alarcon , M. Granvik , A. A. Nucita , B. Carry , M. Devogele , M. Mahlke , R. Vavrek , T. Müller , E. Vilenius , C. Snodgrass , R. Kohley , C. Lemon , P. Gómez-Alvarez , G. Verdoes Kleijn , J. Licandro , S. Kruk , L. Conversi , A. Franco , G. Buenadicha , P. Mas-Buitrago , K. Kuijken , S. Andreon , C. Baccigalupi , M. Baldi , A. Balestra , P. Battaglia , A. Biviano , E. Branchini , M. Brescia , S. Camera , V. Capobianco , C. Carbone , J. Carretero , R. Casas , M. Castellano , G. Castignani , S. Cavuoti , K. C. Chambers , A. Cimatti , C. Colodro-Conde , G. Congedo , C. J. Conselice , Y. Copin , F. Courbin , H. M. Courtois , M. Cropper , H. Degaudenzi , G. De Lucia , C. Dolding , H. Dole , F. Dubath , X. Dupac , M. Farina , R. Farinelli , S. Ferriol , M. Frailis , M. Fumana , S. Galeotta , K. George , B. Gillis , C. Giocoli , J. Gracia-Carpio , A. Grazian , F. Grupp , S. V. H. Haugan , H. Hoekstra , W. Holmes , I. M. Hook , F. Hormuth , A. Hornstrup , K. Jahnke , M. Jhabvala , A. Kiessling , B. Kubik , M. Kümmel , M. Kunz , H. Kurki-Suonio , A. M. C. Le Brun , S. Ligori , P. B. Lilje , V. Lindholm , I. Lloro , G. Mainetti , O. Mansutti , O. Marggraf , M. Martinelli , N. Martinet , F. Marulli , R. J. Massey , E. Medinaceli , S. Mei , E. Merlin , G. Meylan , A. Mora , L. Moscardini , R. Nakajima , C. Neissner , S. -M. Niemi , C. Padilla , S. Paltani , F. Pasian , K. Pedersen , W. J. Percival , V. Pettorino , G. Polenta , L. A. Popa , F. Raison , R. Rebolo , A. Renzi , J. Rhodes , G. Riccio , E. Romelli , M. Roncarelli , R. Saglia , Z. Sakr , D. Sapone , M. Schirmer , P. Schneider , A. Secroun , E. Sihvola , P. Simon , C. Sirignano , G. Sirri , L. Stanco , P. Tallada-Crespí , I. Tereno , S. Toft , R. Toledo-Moreo , F. Torradeflot , I. Tutusaus , J. Valiviita , T. Vassallo , Y. Wang , J. Weller , F. M. Zerbi , J. García-Bellido , J. Martín-Fleitas , V. Scottez , G. Helou , D. Scott

Observations of radio signals from distant pulsars provide a valuable tool for investigation of interstellar turbulence. The time-shapes of the signals are the result of pulse broadening by the fluctuating electron density in the…

Astrophysics · Physics 2007-05-23 Stanislav Boldyrev , Carl R. Gwinn

Smoothed model checking based on Gaussian process classification provides a powerful approach for statistical model checking of parametric continuous time Markov chain models. The method constructs a model for the functional dependence of…

Machine Learning · Computer Science 2021-04-21 Paul Piho , Jane Hillston

Periodic variables illuminate the physical processes of stars throughout their lifetime. Wide-field surveys continue to increase our discovery rates of periodic variable stars. Automated approaches are essential to identify interesting…

Solar and Stellar Astrophysics · Physics 2022-06-29 H. S. Chan , V. Ashley Villar , S. H. Cheung , Shirley Ho , Anna J. G. O'Grady , Maria R. Drout , Mathieu Renzo

Gaia provided the largest-ever catalogue of white dwarf stars. We use this catalogue, along with the third public data release of the Zwicky Transient Facility (ZTF), to identify new eclipsing white dwarf binaries. Our method exploits light…

Solar and Stellar Astrophysics · Physics 2021-11-18 Pascal M. Keller , Elmé Breedt , Simon Hodgkin , Vasily Belokurov , James Wild , Ignacio García-Soriano , Jacob L. Wise

Two dedicated asteroid rotation-period surveys have been carried out using data taken on January 6-9 and February 20-23 of 2014 by the Intermediate Palomar Transient Factory (iPTF) in the $R$~band with $\sim 20$-min cadence. The total…

Large-area surveys operating at mid-infrared wavelengths have proven to be a valuable means of discovering and characterizing minor planets. Through the use of radiometric models, it is possible to derive physical properties such as…

Earth and Planetary Astrophysics · Physics 2016-08-31 A. Mainzer , F. Usui , D. Trilling

The 3D Gaussian splatting methods are getting popular. However, they work directly on the signal, leading to a dense representation of the signal. Even with some techniques such as pruning or distillation, the results are still dense. In…

Computer Vision and Pattern Recognition · Computer Science 2024-05-10 Yuanhao Gong

Gaussian processes provide a method for extracting cosmological information from observations without assuming a cosmological model. We carry out cosmography -- mapping the time evolution of the cosmic expansion -- in a model-independent…

Cosmology and Nongalactic Astrophysics · Physics 2012-07-11 Arman Shafieloo , Alex G. Kim , Eric V. Linder
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