- Bayesian Noise Estimation for Non-ideal Cosmic Microwave Background Experiments
- Wehus, I. K.; Næss, S. K.; Eriksen, H. K.
We describe a Bayesian framework for estimating the time-domain noise covariance of cosmic microwave background (CMB) observations, typically parameterized in terms of a 1/f frequency profile. This framework is based on the Gibbs sampling algorithm, …
- Completeness – III. Identifying characteristic systematics and evolution in galaxy redshift surveys
- Johnston, Russell; Teodoro, Luís.; Hendry, Martin
This paper continues our development of non-parametric tests for analysing the completeness in apparent magnitude of magnitude-redshift surveys. The purpose of this third and final paper in our completeness series is twofold: first, we explore how c …
- BAMBI: blind accelerated multimodal Bayesian inference
- Graff, Philip; Feroz, Farhan; Hobson, Michael P.; Lasenby, Anthony
In this paper, we present an algorithm for rapid Bayesian analysis that combines the benefits of nested sampling and artificial neural networks (NNs). The blind accelerated multimodal Bayesian inference (BAMBI) algorithm implements the MULTINEST pac …
- Of “Cocktail Parties” and Exoplanets
- Waldmann, I. P.
The characterization of ever smaller and fainter extrasolar planets requires an intricate understanding of one’s data and the analysis techniques used. Correcting the raw data at the 10-4 level of accuracy in flux is one of the central challenges. T …
- Detecting Variability in Massive Astronomical Time-series Data. II. Variable Candidates in the Northern Sky Variability Survey
- Shin, Min-Su; Yi, Hahn; Kim, Dae-Won; Chang, Seo-Won; Byun, Yong-Ik
We present variability analysis of data from the Northern Sky Variability Survey (NSVS). Using the clustering method, which defines variable candidates as outliers from large clusters, we cluster 16,189,040 light curves having data points at more th …
- Multiscale inference of matter fields and baryon acoustic oscillations from the Lyα forest
- Kitaura, Francisco-Shu; Gallerani, Simona; Ferrara, Andrea
We present a novel Bayesian method for the joint reconstruction of cosmological matter density fields, peculiar velocities and power spectra in the quasi-non-linear regime. We study its applicability to the Lyα forest based on multiple quasar absor …
- The reliability of the Akaike information criterion method in cosmological model selection
- Tan, M. Y. J.; Biswas, Rahul
The Akaike information criterion (AIC) has been used as a statistical criterion to compare the appropriateness of different dark energy candidate models underlying a particular data set. Under suitable conditions, the AIC is an indirect estimate of …
- Rapid, Machine-learned Resource Allocation: Application to High-redshift Gamma-Ray Burst Follow-up
- Morgan, A. N.; Long, James; Richards, Joseph W.; Broderick, Tamara; Butler, Nathaniel R.; Bloom, Joshua S.
As the number of observed gamma-ray bursts (GRBs) continues to grow, follow-up resources need to be used more efficiently in order to maximize science output from limited telescope time. As such, it is becoming increasingly important to rapidly iden …
- An Affine-invariant Sampler for Exoplanet Fitting and Discovery in Radial Velocity Data
- Hou, Fengji; Goodman, Jonathan; Hogg, David W.; Weare, Jonathan; Schwab, Christian
Markov chain Monte Carlo (MCMC) proves to be powerful for Bayesian inference and in particular for exoplanet radial velocity fitting because MCMC provides more statistical information and makes better use of data than common approaches like chi-squa …
- Evolution of the Cosmic Microwave Background Power Spectrum across Wilkinson Microwave Anisotropy Probe Data Releases: A Nonparametric Analysis
- Aghamousa, Amir; Arjunwadkar, Mihir; Souradeep, Tarun
Using a nonparametric function estimation methodology, we present a comparative analysis of the Wilkinson Microwave Anisotropy Probe (WMAP) 1-, 3-, 5-, and 7-year data releases for the cosmic microwave background (CMB) angular power spectrum with re …
- Optimization of synthetic galaxy spectra. Application to ESA’s Gaia mission
- Karampelas, A.; Kontizas, M.; Rocca-Volmerange, B.; Bellas-Velidis, I.; Kontizas, E.; Livanou, E.; Tsalmantza, P.; Dapergolas, A.
Aims: We present an optimized library of synthetic galaxy spectra that are to be used for the Gaia satellite observations of unresolved galaxies. These galaxy spectral templates are useful for the optimal performance of the unresolved galaxy classif …
- Testing cosmology with extreme galaxy clusters
- Harrison, Ian; Coles, Peter
Motivated by recent suggestions that a number of observed galaxy clusters have masses which are too high for their given redshift to occur naturally in a standard model cosmology, we use extreme value statistics to construct confidence regions in th …
- Information content in the angular power spectrum of weak lensing: wavelet method
- Yu, Hao-Ran; Harnois-Déraps, Joachim; Zhang, Tong-Jie; Pen, Ue-Li
We quantify the performance of a non-linear Wiener filter, constructed in wavelet space, at recovering some of the Fisher information that was lost in the weak lensing convergence field. The proposed method consists of a separation of the original f …
- Acoustic spectrum fitting for a large set of solar-like pulsators
- Benomar, O.; Baudin, F.; Chaplin, W. J.; Elsworth, Y.; Appourchaux, T.
Asteroseismology provides the means both to constrain the global properties and to probe the internal structures of stars. Asteroseismic data are now available on large numbers of solar-type stars, thanks in particular to the CoRoT and Kepler space …
- Multiscale Dynamics of Solar Magnetic Structures
- Uritsky, Vadim M.; Davila, Joseph M.
Multiscale topological complexity of the solar magnetic field is among the primary factors controlling energy release in the corona, including associated processes in the photospheric and chromospheric boundaries. We present a new approach for analy …
- A compressed sensing approach to 3D weak lensing
- Leonard, A.; Dupé, F.-X.; Starck, J.-L.
Context. Weak gravitational lensing is an ideal probe of the dark universe. In recent years, several linear methods have been developed to reconstruct the density distribution in the Universe in three dimensions, making use of photometric redshift i …
- A statistical fractal-diffusive avalanche model of a slowly-driven self-organized criticality system
- Aschwanden, M. J.
Aims: We develop a statistical analytical model that predicts the occurrence frequency distributions and parameter correlations of avalanches in nonlinear dissipative systems in the state of a slowly-driven self-organized criticality (SOC) system. …
- An application of extreme value statistics to the most massive galaxy clusters at low and high redshifts
- Waizmann, J.-C.; Ettori, S.; Moscardini, L.
In this work we present an application of general extreme value (GEV) statistics to very massive single clusters at high and low redshifts. After introducing the formalism, we apply this statistics to four very massive high-redshift clusters. Those …
- Testing pre-main-sequence models: the power of a Bayesian approach
- Gennaro, M.; Prada Moroni, P. G.; Tognelli, E.
Pre-main-sequence (PMS) models provide invaluable tools for the study of star-forming regions as they allow us to assign masses and ages to young stars. Thus, it is of primary importance to test the models against observations of PMS stars with dyna …
- On multiple classes of gamma-ray bursts, as deduced from autocorrelation functions or bivariate duration/hardness ratio distributions
- Koen, C.; Bere, A.
Autocorrelation functions (ACFs) of 119 gamma-ray bursts (GRBs) monitored by the Burst Alert Telescope (BAT) on Swift are calculated. Contrasting with previous results for smaller numbers of bursts from other missions, the widths of the ACFs are not …