Results 21 to 30 of about 51 (47)

Detecting Stellar Flares in Photometric Data Using Hidden Markov Models

The Astrophysical Journal
We present a hidden Markov model (HMM) for discovering stellar flares in light-curve data of stars. HMMs provide a framework to model time series data that are nonstationary; they allow for systems to be in different states at different times and ...
J. Arturo Esquivel, Yunyi Shen, Vianey Leos-Barajas, Gwendolyn Eadie, Joshua S. Speagle, Radu V Craiu, Amber Medina, James R. A. Davenport   +7 more
doaj   +1 more source

Joint Deconvolution of Astronomical Images in the Presence of Poisson Noise

The Astronomical Journal
We present a new framework for joint likelihood deconvolution ( Jolideco ) of a set of astronomical observations of the same sky region in the presence of Poisson noise.
Axel Donath, Aneta Siemiginowska, Vinay L. Kashyap, David A. van Dyk, Douglas Burke   +4 more
doaj   +1 more source

ASTROCLADISTICS: MULTIVARIATE EVOLUTIONARY ANALYSIS IN ASTROPHYSICS

, 2009
Invited talk at the session: Astrostatistics (Statistical analysis of data related to Astronomy and Astrophysics)International audienceThe Hubble tuning fork diagram, based on morphology and established in the 1930s, has always been the preferred scheme ...
Fraix-Burnet, Didier
core  

Study on period search methods of variable stars: Application to ASAS and CRTS databases

, 2013
Study on variable stars is an important topic of modern astrophysics. After the invention of powerful telescopes and high resolving powered CCD’s, the variable star data is accumulating in the order of peta-bytes.
Ramesh Babu, T, Shaju, K Y
core  

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

Formation of the first three gravitational-wave observations through isolated binary evolution. [PDF]

Nat Commun, 2017
Stevenson S, Vigna-Gómez A, Mandel I, Barrett JW, Neijssel CJ, Perkins D, de Mink SE.   +6 more
europepmc   +1 more source

Inference for the physical sciences. [PDF]

Philos Trans A Math Phys Eng Sci, 2013
Jones NS, Maccarone TJ.
europepmc   +1 more source

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

Statistical Learning of Large-Scale Genetic Data: How to Run a Genome-Wide Association Study of Gene-Expression Data Using the 1000 Genomes Project Data. [PDF]

Stat Biosci
Sugolov A, Emmenegger E, Paterson AD, Paterson AD, Sun L.   +4 more
europepmc   +1 more source

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Grand Challenges in Astrostatistics

Frontiers in Astronomy and Space Sciences, 2020
Didier Fraix-Burnet
exaly