- A New Method For Robust High-Precision Time-Series Photometry From Well-Sampled Images: Application to Archival MMT/Megacam Observations of the Open Cluster M37
- Chang, S.-W.; Byun, Y.-I.; Hartman, J. D.
We introduce new methods for robust high-precision photometry from well-sampled images of a non-crowded field with a strongly varying point-spread function. For this work, we used archival imaging data of the open cluster M37 taken by MMT 6.5 m tele …
- Application of Vector Spherical Harmonics and Kernel Regression to the Computations of OMM Parameters
- Marco, F. J.; Martínez, M. J.; López, J. A.
The high quality of Hipparcos data in position, proper motion, and parallax has allowed for studies about stellar kinematics with the aim of achieving a better physical understanding of our galaxy, based on accurate calculus of the Ogorodnikov-Milne …
- GALSIM: The modular galaxy image simulation toolkit
- Rowe, B. T. P.; Jarvis, M.; Mandelbaum, R.; Bernstein, G. M.; Bosch, J.; Simet, M.; Meyers, J. E.; Kacprzak, T.; Nakajima, R.; Zuntz, J.; Miyatake, H.; Dietrich, J. P.; Armstrong, R.; Melchior, P.; Gill, M. S. S.
GALSIM is a collaborative, open-source project aimed at providing an image simulation tool of enduring benefit to the astronomical community. It provides a software library for generating images of astronomical objects such as stars and galaxies in …
- PynPoint code for exoplanet imaging
- Amara, A.; Quanz, S. P.; Akeret, J.
We announce the public release of PynPoint, a Python package that we have developed for analysing exoplanet data taken with the angular differential imaging observing technique. In particular, PynPoint is designed to model the point spread function …
- The overlooked potential of Generalized Linear Models in astronomy-II: Gamma regression and photometric redshifts
- Elliott, J.; de Souza, R. S.; Krone-Martins, A.; Cameron, E.; Ishida, E. E. O.; Hilbe, J.
Machine learning techniques offer a precious tool box for use within astronomy to solve problems involving so-called big data. They provide a means to make accurate predictions about a particular system without prior knowledge of the underlying phys …
- MEPSA: A flexible peak search algorithm designed for uniformly spaced time series
- Guidorzi, C.
We present a novel algorithm aimed at identifying peaks within a uniformly sampled time series affected by uncorrelated Gaussian noise. The algorithm, called “MEPSA” (multiple excess peak search algorithm), essentially scans the time series at diffe …
- FellWalker-A clump identification algorithm
- Berry, D. S.
This paper describes the FellWalker algorithm, a watershed algorithm that segments a 1-, 2- or 3-dimensional array of data values into a set of disjoint clumps of emission, each containing a single significant peak. Pixels below a nominated constant …
- Cosmic web-type classification using decision theory
- Leclercq, F.; Jasche, J.; Wandelt, B.
Aims: We propose a decision criterion for segmenting the cosmic web into different structure types (voids, sheets, filaments, and clusters) on the basis of their respective probabilities and the strength of data constraints. Methods: Our approach …
- Molecular clouds have power-law probability distribution functions
- Lombardi, Marco; Alves, João; Lada, Charles J.
In this Letter we investigate the shape of the probability distribution of column densities (PDF) in molecular clouds. Through the use of low-noise, extinction-calibrated Herschel/Planck emission data for eight molecular clouds, we demonstrate that, …
- Determining spectroscopic redshifts by using k nearest neighbor regression. I. Description of method and analysis
- Kügler, S. D.; Polsterer, K.; Hoecker, M.
Context. In astronomy, new approaches to process and analyze the exponentially increasing amount of data are inevitable. For spectra, such as in the Sloan Digital Sky Survey spectral database, usually templates of well-known classes are used for cla …
- Performance of the VLT Planet Finder SPHERE. II. Data analysis and results for IFS in laboratory
- Mesa, D.; Gratton, R.; Zurlo, A.; Vigan, A.; Claudi, R. U.; Alberi, M.; Antichi, J.; Baruffolo, A.; Beuzit, J.-L.; Boccaletti, A.; Bonnefoy, M.; Costille, A.; Desidera, S.; Dohlen, K.; Fantinel, D.; Feldt, M.; Fusco, T.; Giro, E.; Henning, T.; Kasper, M.; Langlois, M.; Maire, A.-L.; Martinez, P.; Moeller-Nilsson, O.; Mouillet, D.; Moutou, C.; Pavlov, A.; Puget, P.; Salasnich, B.; Sauvage, J.-F.; Sissa, E.; Turatto, M.; Udry, S.; Vakili, F.; Waters, R.; Wildi, F.
Aims: We present the performance of the Integral Field Spectrograph (IFS) of SPHERE, the high-contrast imager for the ESO VLT telescope designed to perform imaging and spectroscopy of extrasolar planets, obtained from tests performed at the Institut …
- Restricted Boltzmann machine: a non-linear substitute for PCA in spectral processing
- Bu, Yude; Zhao, Gang; Luo, A.-li; Pan, Jingchang; Chen, Yuqin
Context. Principal component analysis (PCA) is widely used to repair incomplete spectra, to perform spectral denoising, and to reduce dimensionality. Presently, no method has been found to be comparable to PCA on these three problems. New methods ha …
- Eddington-Malmquist bias in a cosmological context
- Teerikorpi, P.
Aims: In 1914, Eddington derived a formula for the difference between the mean absolute magnitudes of stars “in space” or gathered “from the sky”. In 1920, Malmquist derived a general relation for this difference in Euclidean space. Here we study …
- MORESANE: MOdel REconstruction by Synthesis-ANalysis Estimators. A sparse deconvolution algorithm for radio interferometric imaging
- Dabbech, A.; Ferrari, C.; Mary, D.; Slezak, E.; Smirnov, O.; Kenyon, J. S.
Context. Recent years have been seeing huge developments of radio telescopes and a tremendous increase in their capabilities (sensitivity, angular and spectral resolution, field of view, etc.). Such systems make designing more sophisticated techniqu …
- ASteCA: Automated Stellar Cluster Analysis
- Perren, G. I.; Vázquez, R. A.; Piatti, A. E.
We present the Automated Stellar Cluster Analysis package (ASteCA), a suit of tools designed to fully automate the standard tests applied on stellar clusters to determine their basic parameters. The set of functions included in the code make use of …
- Recursive Bayesian estimation of regularized and irregular quasar light curves
- Hanif, A.; Protopapas, P.
We investigate the efficacy of recursive Bayesian estimation of regularized and irregular astrophysical time series using particle filters to understand latent dynamics. We begin by regularizing a MACHO (massive compact halo object) quasar light cur …
- Statistics of X-Ray Polarization Measurements
- Montgomery, C. G.; Swank, J. H.
The polarization of an X-ray beam that produces electrons with velocity components perpendicular to the beam generates an azimuthal distribution of the ejected electrons. We present methods for simulating and for analyzing the angular dependence of …
- Bayesian Investigation of Isochrone Consistency Using the Old Open Cluster NGC 188
- Hills, Shane; von Hippel, Ted; Courteau, Stéphane; Geller, Aaron M.
This paper provides a detailed comparison of the differences in parameters derived for a star cluster from its color–magnitude diagrams (CMDs) depending on the filters and models used. We examine the consistency and reliability of fitting three wi …
- Pointing Model Establishment of TM65 m Radio Telescope
- Yu, L. F.; Wang, J. Q.; Zhao, R. B.; Dong, J.; Zuo, X. T.; Gou, W.; Liu, Q. H.; Fan, Q. Y.
A new method is described to establish the pointing model of the 65-meter Radio Telescope of Shanghai Astronomical Observatory (TM65 m). The prediction of source orbit is used to improve efficiency. The single pointing error is collected via “cross …
- Multiscale Distilled Sensing: Astronomical source detection in long wavelength images
- Masias, M.; Lladó, X.; Peracaula, M.; Freixenet, J.
The increasing number of astronomical surveys in mid- and far-infrared, as well as in submillimetre and radio wavelengths, brings more difficulties to the already challenging task of detecting sources in an automatic way. These specific images are c …