- PYTRANSIT: fast and easy exoplanet transit modelling in PYTHON
- Parviainen, Hannu
We present a fast and user friendly exoplanet transit light-curve modelling package PYTRANSIT, implementing optimized versions of the Giménez and Mandel & Agol transit models. The package offers an object-oriented PYTHON interface to access the two …
- Astronomical Data Triage for Rapid Science Return
- Brian D. Bue, Kiri L. Wagstaff, Umaa D. Rebbapragada, David R. Thompson, and Benyang Tang
The quantity of astronomical observations collected by today’s in- struments far exceeds the capability of manual inspection by domain experts. Rather than relying on human eyes to examine and analyze all collected data, we employ data triage algo …
- The denoised, deconvolved, and decomposed Fermi γ-ray sky. An application of the D3PO algorithm
- Selig, Marco; Vacca, Valentina; Oppermann, Niels; Enßlin, Torsten A.
We analyze the 6.5 year all-sky data from the Fermi Large Area Telescope that are restricted to γ-ray photons with energies between 0.6-307.2 GeV. Raw count maps show a superposition of diffuse and point-like emission structures and are subject to …
- The denoised, deconvolved, and decomposed Fermi γ-ray sky. An application of the D3PO algorithm
- Selig, Marco; Vacca, Valentina; Oppermann, Niels; Enßlin, Torsten A.
We analyze the 6.5 year all-sky data from the Fermi Large Area Telescope that are restricted to γ-ray photons with energies between 0.6-307.2 GeV. Raw count maps show a superposition of diffuse and point-like emission structures and are subject to …
- A new approach to multifrequency synthesis in radio interferometry
- Junklewitz, H.; Bell, M. R.; Enßlin, T.
We present a new approach to multifrequency synthesis in radio astronomy. Using Bayesian inference techniques, the new technique estimates the sky brightness and the spectral index simultaneously. In principle, the bandwidth of a wide-band observati …
- A fast, always positive definite and normalizable approximation of non-Gaussian likelihoods
- Sellentin, Elena
In this paper we extend the previously published DALI-approximation for likelihoods to cases in which the parameter dependence is in the covariance matrix. The approximation recovers non-Gaussian likelihoods, and reduces to the Fisher matrix approac …
- SLUG – stochastically lighting up galaxies – III. A suite of tools for simulated photometry, spectroscopy, and Bayesian inference with stochastic stellar populations
- Krumholz, Mark R.; Fumagalli, Michele; da Silva, Robert L.; Rendahl, Theodore; Parra, Jonathan
Stellar population synthesis techniques for predicting the observable light emitted by a stellar population have extensive applications in numerous areas of astronomy. However, accurate predictions for small populations of young stars, such as those …
- On the angular distribution of IceCube high-energy events
- de la Fuente Marcos, R.; de la Fuente Marcos, C.
The detection of high-energy astrophysical neutrinos of extraterrestrial origin by the IceCube neutrino observatory in Antarctica has opened a unique window to the cosmos that may help to probe both the distant Universe and our cosmic backyard. The …
- Do the Kepler AGN light curves need reprocessing?
- Kasliwal, Vishal P.; Vogeley, Michael S.; Richards, Gordon T.; Williams, Joshua; Carini, Michael T.
We gauge the impact of spacecraft-induced effects on the inferred variability properties of the light curve of the Seyfert 1 AGN Zw 229-15 observed by Kepler. We compare the light curve of Zw 229-15 obtained from the Kepler MAST data base with a rep …
- A new map-making algorithm for CMB polarization experiments
- Wallis, Christopher G. R.; Bonaldi, A.; Brown, Michael L.; Battye, Richard A.
With the temperature power spectrum of the cosmic microwave background (CMB) at least four orders of magnitude larger than the B-mode polarization power spectrum, any instrumental imperfections that couple temperature to polarization must be careful …
- The overlooked potential of generalized linear models in astronomy – III. Bayesian negative binomial regression and globular cluster populations
- de Souza, R. S.; Hilbe, J. M.; Buelens, B.; Riggs, J. D.; Cameron, E.; Ishida, E. E. O.; Chies-Santos, A. L.; Killedar, M.
In this paper, the third in a series illustrating the power of generalized linear models (GLMs) for the astronomical community, we elucidate the potential of the class of GLMs which handles count data. The size of a galaxy’s globular cluster (GC) po …
- The analysis of indexed astronomical time series – XII. The statistics of oversampled Fourier spectra of noise plus a single sinusoid
- Koen, Chris
With few exceptions, theoretical studies of periodogram properties focus on pure noise time series. This paper considers the case in which the time series consists of noise together with a single sinusoid, observed at regularly spaced time points. T …
- Far beyond stacking: fully Bayesian constraints on sub-μJy radio source populations over the XMM-LSS-VIDEO field
- Zwart, Jonathan T. L.; Santos, Mario; Jarvis, Matt J.
Measuring radio source counts is critical for characterizing new extragalactic populations, brings a wealth of science within reach and will inform forecasts for SKA and its pathfinders. Yet there is currently great debate (and few measurements) abo …
- Scintillation noise in widefield radio interferometry
- Vedantham, H. K.; Koopmans, L. V. E.
In this paper, we consider random phase fluctuations imposed during wave propagation through a turbulent plasma (e.g. ionosphere) as a source of additional noise in interferometric visibilities. We derive expressions for visibility variance for the …
- The anisotropic line correlation function as a probe of anisotropies in galaxy surveys
- Eggemeier, A.; Battefeld, T.; Smith, R. E.; Niemeyer, J.
We propose an anisotropic generalization of the line correlation function (ALCF) to separate and quantify phase information in the large-scale structure of galaxies. The line correlation function probes the strictly non-linear regime of structure fo …
- A hybrid ensemble learning approach to star-galaxy classification
- Kim, Edward J.; Brunner, Robert J.; Carrasco Kind, Matias
There exist a variety of star-galaxy classification techniques, each with their own strengths and weaknesses. In this paper, we present a novel meta-classification framework that combines and fully exploits different techniques to produce a more rob …
- On the information content of the matter power spectrum
- Carron, J.; Wolk, M.; Szapudi, I.
We discuss an analytical approximation for the matter power spectrum covariance matrix and its inverse on translinear scales, k ˜ 0.1h – 0.8 h Mpc-1 at z = 0. We proceed to give an analytical expression for the Fisher information matrix of the non- …
- Constructing a Flexible Likelihood Function for Spectroscopic Inference
- Czekala, Ian; Andrews, Sean M.; Mandel, Kaisey S.; Hogg, David W.; Green, Gregory M.
We present a modular, extensible likelihood framework for spectroscopic inference based on synthetic model spectra. The subtraction of an imperfect model from a continuously sampled spectrum introduces covariance between adjacent datapoints (pixels) …
- Prediction of Solar Flare Size and Time-to-Flare Using Support Vector Machine Regression
- Boucheron, Laura E.; Al-Ghraibah, Amani; McAteer, R. T. James
We study the prediction of solar flare size and time-to-flare using 38 features describing magnetic complexity of the photospheric magnetic field. This work uses support vector regression to formulate a mapping from the 38-dimensional feature space …
- Periodograms for Multiband Astronomical Time Series
- VanderPlas, Jacob T.; Ivezic, Željko
This paper introduces the multiband periodogram, a general extension of the well-known Lomb-Scargle approach for detecting periodic signals in time-domain data. In addition to advantages of the Lomb-Scargle method such as treatment of non-uniform sa …