January  June 2012
 Automatic detection of peculiar galaxies in large datasets of galaxy images

Lior Shamir
We propose an image analysis unsupervised learning algorithm that can detect peculiar galaxies in datasets of galaxy images. The algorithm first computes a large set of calculated characteristics reflecting different aspects of the visual content, a ...  A Revised Parallelsequence Morphological Classification of Galaxies: Structure and Formation of S0 and Spheroidal Galaxies

Kormendy, John; Bender, Ralf
We update van den Bergh's parallelsequence galaxy classification in which S0 galaxies form a sequence S0aS0bS0c that parallels the sequence SaSbSc of spiral galaxies. The ratio B/T of bulgetototal light defines the position of a galaxy in thi ...  NEOWISE Studies of Asteroids with Sloan Photometry: Preliminary Results

Mainzer, A.; Masiero, J.; Grav, T.; Bauer, J.; Tholen, D. J.; McMillan, R. S.; Wright, E.; Spahr, T.; Cutri, R. M.; Walker, R.; Mo, W.; Watkins, J.; Hand, E.; Maleszewski, C.
We have combined the NEOWISE and Sloan Digital Sky Survey data to study the albedos of 24,353 asteroids with candidate taxonomic classifications derived using Sloan photometry. We find a wide range of moderate to high albedos for candidate Stype as ...  Dependence of Barred Galaxy Fraction on Galaxy Properties and Environment

Lee, GwangHo; Park, Changbom; Lee, Myung Gyoon; Choi, YunYoung
We investigate the dependence of the occurrence of bars in galaxies on galaxy properties and environment. We use a volumelimited sample of 33,391 galaxies brighter than Mr = 19.5 + 5logh at 0.02 <= z <= 0.05489, drawn from the Sloan Digital Sky Su ...  The Active Asteroids

Jewitt, David
Some asteroids eject dust, unexpectedly producing transient, cometlike comae and tails. First ascribed to the sublimation of nearsurface water ice, masslosing asteroids (also called "mainbelt comets") can in fact be driven by a surprising divers ...  The DEEP2 Galaxy Redshift Survey: The VoronoiDelaunay Method Catalog of Galaxy Groups

Gerke, Brian F.; Newman, Jeffrey A.; Davis, Marc; Coil, Alison L.; Cooper, Michael C.; Dutton, Aaron A.; Faber, S. M.; Guhathakurta, Puragra; Konidaris, Nicholas; Koo, David C.; Lin, Lihwai; Noeske, Kai; Phillips, Andrew C.; Rosario, David J.; Weiner, Benjamin J.; Willmer, Christopher N. A.; Yan, Renbin
We present a public catalog of galaxy groups constructed from the spectroscopic sample of galaxies in the fourth data release from the Deep Extragalactic Evolutionary Probe 2 (DEEP2) Galaxy Redshift Survey, including the Extended Groth Strip (EGS). ...  Exploring the Morphology of RAVE Stellar Spectra

Matijevič, G.; Zwitter, T.; Bienaymé, O.; BlandHawthorn, J.; Boeche, C.; Freeman, K. C.; Gibson, B. K.; Gilmore, G.; Grebel, E. K.; Helmi, A.; Munari, U.; Navarro, J.; Parker, Q. A.; Reid, W.; Seabroke, G.; Siebert, A.; Siviero, A.; Steinmetz, M.; Watson, F. G.; Williams, M.; Wyse, R. F. G.
The RAdial Velocity Experiment (RAVE) is a mediumresolution (R ~ 7500) spectroscopic survey of the Milky Way that has already obtained over half a million stellar spectra. They present a randomly selected magnitudelimited sample, so it is importan ...  When time matters

Pourbaix, D.
Whereas deriving the orbit of a binary star was perceived as a tedious task even during the second half of the 20th century, nowadays, computers can investigate millions of solutions and keep the best one in just a few seconds. However, even if one ...  GravitationalWave Data Analysis. Formalism and Sample Applications: The Gaussian Case

Jaranowski, Piotr; Królak, Andrzej
The article reviews the statistical theory of signal detection in application to analysis of deterministic gravitationalwave signals in the noise of a detector. Statistical foundations for the theory of signal detection and parameter estimation are ...  Bayesian nonparametrics and the probabilistic approach to modelling

Zoubin Ghahramani
Modelling is fundamental to many fields of science and engineering. A model can be thought of as a representation of possible data one could predict from a system. The probabilistic approach to modelling uses probability theory to express all aspect ...  Gaussian processes for timeseries modelling

S. Roberts, M. Osborne, M. Ebden, S. Reece, N. Gibson and S. Aigrain
In this paper, we offer a gentle introduction to Gaussian processes for timeseries data analysis. The conceptual framework of Bayesian modelling for timeseries data is discussed and the foundations of Bayesian nonparametric modelling presented fo ...  Independent component analysis: recent advances

Aapo Hyvärinen
Independent component analysis is a probabilistic method for learning a linear transform of a random vector. The goal is to find components that are maximally independent and nonGaussian (nonnormal). Its fundamental difference to classical multiv ...  Similarity and denoising

Paul M. B. Vitányi
We can discover the effective similarity among pairs of finite objects and denoise a finite object using the Kolmogorov complexity of these objects. The drawback is that the Kolmogorov complexity is not computable. If we approximate it, using a good ...  Plain fundamentals of Fundamental Planes: analytics and algorithms

Sheth, Ravi K.; Bernardi, Mariangela
Estimates of the coefficients a and b of the Fundamental Plane relation R∝σa Ib depend on whether one minimizes the scatter in the R direction, or orthogonal to the plane. We provide explicit expressions for a and b (and confidence limits) in ter ...  Computer Vision for the Solar Dynamics Observatory (SDO)

Martens, P. C. H.; Attrill, G. D. R.; Davey, A. R.; Engell, A.; Farid, S.; Grigis, P. C.; Kasper, J.; Korreck, K.; Saar, S. H.; Savcheva, A.; Su, Y.; Testa, P.; WillsDavey, M.; Bernasconi, P. N.; Raouafi, N.E.; Delouille, V. A.; Hochedez, J. F.; Cirtain, J. W.; Deforest, C. E.; Angryk, R. A.; de Moortel, I.; Wiegelmann, T.; Georgoulis, M. K.; McAteer, R. T. J.; Timmons, R. P.
In Fall 2008 NASA selected a large international consortium to produce a comprehensive automated featurerecognition system for the Solar Dynamics Observatory (SDO). The SDO data that we consider are all of the Atmospheric Imaging Assembly (AIA) ima ...  A blind detection of a large, complex, SunyaevZel'dovich structure

AMI Consortium; Shimwell, T. W.; Barker, R. W.; Biddulph, P.; Bly, D.; Boysen, R. C.; Brown, A. R.; Brown, M. L.; Clementson, C.; Crofts, M.; Culverhouse, T. L.; Czeres, J.; Dace, R. J.; Davies, M. L.; D'Alessandro, R.; Doherty, P.; Duggan, K.; Ely, J. A.; Felvus, M.; Feroz, F.; Flynn, W.; Franzen, T. M. O.; Geisbüsch, J.; GénovaSantos, R.; Grainge, K. J. B.; Grainger, W. F.; Hammett, D.; Hobson, M. P.; Holler, C. M.; HurleyWalker, N.; Jilley, R.; Kaneko, T.; Kneissl, R.; Lancaster, K.; Lasenby, A. N.; Marshall, P. J.; Newton, F.; Norris, O.; Northrop, I.; Odell, D. M.; Olamaie, M.; Perrott, Y. C.; Pober, J. C.; Pooley, G. G.; Pospieszalski, M. W.; Quy, V.; RodríguezGonzálvez, C.; Saunders, R. D. E.; Scaife, A. M. M.; Schammel, M. P.; Schofield, J.; Scott, P. F.; Shaw, C.; Smith, H.; Titterington, D. J.; Velić, M.; Waldram, E. M.; West, S.; Wood, B. A.; Yassin, G.; Zwart, J. T. L.
We present an interesting SunyaevZel’dovich (SZ) detection in the first of the Arcminute Microkelvin Imager (AMI) ‘blind’, degreesquare fields to have been observed down to our target sensitivity of ?. In followup deep pointed observations ...  Parametrization effects in the analysis of AMI SunyaevZel'dovich observations

AMI Consortium; Olamaie, Malak; RodríguezGonzálvez, Carmen; Davies, Matthew L.; Feroz, Farhan; Franzen, Thomas M. O.; Grainge, Keith J. B.; Hobson, Michael P.; HurleyWalker, Natasha; Lasenby, Anthony N.; Pooley, Guy G.; Saunders, Richard D. E.; Scaife, Anna M. M.; Schammel, Michel; Scott, Paul F.; Shimwell, Timothy W.; Titterington, David J.; Waldram, Elizabeth M.; Zwart, Jonathan T. L.
Most SunyaevZel'dovich (SZ) and Xray analyses of galaxy clusters try to constrain the cluster total mass (MT(r)) and/or gas mass (Mg(r)) using parametrized models derived from both simulations and imaging observations, and assumptions of spherical ...  Principles of highdimensional data visualization in astronomy

Goodman, A. A.
Astronomical researchers often think of analysis and visualization as separate tasks. In the case of highdimensional data sets, though, interactive exploratory data visualization can give far more insight than an approach where data processing and ...  Distinguishing between a true period and its alias, and other tasks of model discrimination

Baluev, Roman V.
We consider the task of distinguishing between two different alternative models that can explain observed timeseries data roughly equally, mainly focusing on the periodambiguity case (aliasing). We propose a test for checking whether the rival mod ...  How well do STARLAB and NBODY compare? II. Hardware and accuracy

Anders, P.; Baumgardt, H.; Gaburov, E.; Portegies Zwart, S.
Most recent progress in understanding the dynamical evolution of star clusters relies on direct Nbody simulations. Owing to the computational demands, and the desire to model more complex and more massive star clusters, hardware calculational accel ...