- AstroStat-A VO tool for statistical analysis
- Kembhavi, A. K.; Mahabal, A. A.; Kale, T.; Jagade, S.; Vibhute, A.; Garg, P.; Vaghmare, K.; Navelkar, S.; Agrawal, T.; Chattopadhyay, A.; Nandrekar, D.; Shaikh, M.
AstroStat is an easy-to-use tool for performing statistical analysis on data. It has been designed to be compatible with Virtual Observatory (VO) standards thus enabling it to become an integral part of the currently available collection of VO tools …
- Hierarchical progressive surveys. Multi-resolution HEALPix data structures for astronomical images, catalogues, and 3-dimensional data cubes
- Fernique, P.; Allen, M. G.; Boch, T.; Oberto, A.; Pineau, F.-X.; Durand, D.; Bot, C.; Cambrésy, L.; Derriere, S.; Genova, F.; Bonnarel, F.
Context. Scientific exploitation of the ever increasing volumes of astronomical data requires efficient and practical methods for data access, visualisation, and analysis. Hierarchical sky tessellation techniques enable a multi-resolution approach t …
- A new data compression method and its application to cosmic shear analysis
- Asgari, Marika; Schneider, Peter
Context. Future large scale cosmological surveys will provide huge data sets whose analysis requires efficient data compression. In particular, the calculation of accurate covariances is extremely challenging with an increasing number of observables …
- 3D galaxy clustering with future wide-field surveys: Advantages of a spherical Fourier-Bessel analysis
- Lanusse, F.; Rassat, A.; Starck, J.-L.
Context. Upcoming spectroscopic galaxy surveys are extremely promising to help in addressing the major challenges of cosmology, in particular in understanding the nature of the dark universe. The strength of these surveys, naturally described in sph …
- FIELD: Automated emission line detection software for Subaru/FMOS near-infrared spectroscopy
- Tonegawa, Motonari; Totani, Tomonori; Iwamuro, Fumihide; Akiyama, Masayuki; Dalton, Gavin; Glazebrook, Karl; Ohta, Kouji; Okada, Hiroyuki; Yabe, Kiyoto
We describe the development of automated emission line detection software for the Fiber Multi-Object Spectrograph (FMOS), which is a near-infrared spectrograph fed by 400 fibers from the 0.2 deg2 prime focus field of view of the Subaru Telescope. Th …
- Network analysis of cosmic structures: network centrality and topological environment
- Hong, Sungryong; Dey, Arjun
We apply simple analyses techniques developed for the study of complex networks to the study of the cosmic web, the large-scale galaxy distribution. In this paper, we measure three network centralities (ranks of topological importance): degree centr …
- Star/galaxy separation at faint magnitudes: application to a simulated Dark Energy Survey
- Soumagnac, M. T.; Abdalla, F. B.; Lahav, O.; Kirk, D.; Sevilla, I.; Bertin, E.; Rowe, B. T. P.; Annis, J.; Busha, M. T.; Da Costa, L. N.; Frieman, J. A.; Gaztanaga, E.; Jarvis, M.; Lin, H.; Percival, W. J.; Santiago, B. X.; Sabiu, C. G.; Wechsler, R. H.; Wolz, L.; Yanny, B.
We address the problem of separating stars from galaxies in future large photometric surveys. We focus our analysis on simulations of the Dark Energy Survey (DES). In the first part of the paper, we derive the science requirements on star/galaxy sep …
- Self-similarity and universality of void density profiles in simulation and SDSS data
- Nadathur, S.; Hotchkiss, S.; Diego, J. M.; Iliev, I. T.; Gottlöber, S.; Watson, W. A.; Yepes, G.
The stacked density profile of cosmic voids in the galaxy distribution provides an important tool for the use of voids for precision cosmology. We study the density profiles of voids identified using the ZOBOV watershed transform algorithm in realis …
- Determination of fundamental asteroseismic parameters using the Hilbert transform
- Kiefer, René; Schad, Ariane; Herzberg, Wiebke; Roth, Markus
Context. Solar-like oscillations exhibit a regular pattern of frequencies. This pattern is dominated by the small and large frequency separations between modes. The accurate determination of these parameters is of great interest, because they give i …
- Period, epoch, and prediction errors of ephemerides from continuous sets of timing measurements
- Deeg, H. J.
Space missions such as Kepler and CoRoT have led to large numbers of eclipse or transit measurements in nearly continuous time series. This paper shows how to obtain the period error in such measurements from a basic linear least-squares fit, and ho …
- High-performance parallel image reconstruction for the New Vacuum Solar Telescope
- Li, Xue-Bao; Liu, Zhong; Wang, Feng; Jin, Zhen-Yu; Xiang, Yong-Yuan; Zheng, Yan-Fang
Many technologies have been developed to help improve spatial resolution of observational images for ground-based solar telescopes, such as adaptive optics (AO) systems and post-processing reconstruction. As any AO system correction is only partial, …
- Star Identification Algorithm for Uncalibrated, Wide FOV Cameras
- Ajdadi, Mohamad Javad; Ghafarzadeh, Mahdi; Taheri, Mojtaba; Mosadeq, Ehsan; Khakian Ghomi, Mahdi
A novel method is proposed for star identification via uncalibrated cameras with wide fields of view (FOVs). In this approach some of the triangles created by the stars in the FOV are selected for pattern recognition. The triangles are selected cons …
- AIC, BIC, Bayesian evidence against the interacting dark energy model
- Szydłowski, Marek; Krawiec, Adam; Kurek, Aleksandra; Kamionka, Michał
Recent astronomical observations have indicated that the Universe is in a phase of accelerated expansion. While there are many cosmological models which try to explain this phenomenon, we focus on the interacting CDM model where an interaction betwe …
- Improved cosmological model fitting of Planck data with a dark energy spike
- Park, Chan-Gyung
The Λ cold dark matter (Λ CDM ) model is currently known as the simplest cosmology model that best describes observations with a minimal number of parameters. Here we introduce a cosmology model that is preferred over the conventional Λ CDM one b …
- Distinguishing dark matter from unresolved point sources in the Inner Galaxy with photon statistics
- Lee, Samuel K.; Lisanti, Mariangela; Safdi, Benjamin R.
Data from the Fermi Large Area Telescope suggests that there is an extended excess of GeV gamma-ray photons in the Inner Galaxy. Identifying potential astrophysical sources that contribute to this excess is an important step in verifying whether the …
- Inflation, evidence and falsifiability
- Giulia Gubitosi, Macarena Lagos, Joao Magueijo, Rupert Allison
In this paper we consider the issue of paradigm evaluation by applying Bayes’ theorem along the following nested chain of progressively more complex structures: i) parameter estimation (within a model), ii) model selection and comparison (within a p …
- Weighted ABC: a new strategy for cluster strong lensing cosmology with simulations
- Killedar, Madhura; Borgani, Stefano; Fabjan, Dunja; Dolag, Klaus; Granato, Gian Luigi; Meneghetti, Massimo; Planelles, Susana; Ragone-Figueroa, Cinthia
Comparisons between observed and predicted strong lensing properties of galaxy clusters have been routinely used to claim either tension or consistency with $\Lambda$CDM cosmology. However, standard approaches to such cosmological tests are unable t …
- cosmoabc: Likelihood-free inference via Population Monte Carlo Approximate Bayesian Computation
- E. E. O. Ishida, S. D. P. Vitenti, M. Penna-Lima, J. Cisewski, R. S. de Souza, A. M. M. Trindade, E. Cameron, V. C. Busti, for the COIN collaboration
Approximate Bayesian Computation (ABC) enables parameter inference for complex physical systems in cases where the true likelihood function is unknown, unavailable, or computationally too expensive. It relies on the forward simulation of mock data a …
- Astronomy in the Big Data Era
- Yanxia Zhang, Yongheng Zhao
The fields of Astrostatistics and Astroinformatics are vital for dealing with the big data issues now faced by astronomy. Like other disciplines in the big data era, astronomy has many V characteristics. In this paper, we list the different data min …
- Hyper-Fit: Fitting Linear Models to Multidimensional Data with Multivariate Gaussian Uncertainties
- A.S.G. Robotham & D. Obreschkow
Astronomical data is often uncertain with errors that are heteroscedastic (different for each data point) and covariant between different dimensions. Assuming that a set of D-dimensional data points can be described by a (D 1)-dimensional plane wit …