The impact of modelling errors on interferometer calibration for 21 cm power spectra

A Ewall-Wice, JS Dillon, A Liu… - Monthly Notices of the …, 2017 - academic.oup.com
We study the impact of sky-based calibration errors from source mismodelling on 21 cm
power spectrum measurements with an interferometer and propose a method for …

Kernel phase in Fizeau interferometry

F Martinache - The Astrophysical Journal, 2010 - iopscience.iop.org
The detection of high contrast companions at small angular separation appears feasible in
conventional direct images using the self-calibration properties of interferometric observable …

Phase errors in diffraction-limited imaging: contrast limits for sparse aperture masking

MJ Ireland - Monthly Notices of the Royal Astronomical Society, 2013 - academic.oup.com
Bispectrum phase, closure phase and their generalization to kernel phase are all
independent of pupil-plane phase errors to first order. This property, when used with sparse …

Monitoring All Sky for Variability1

B Paczyński - Publications of the Astronomical Society of the …, 2000 - iopscience.iop.org
ABSTRACT A few percent of all stars are variable, yet over 90% of variables brighter than 12
mag have not been discovered yet. There is a need for an all‐sky search and for the early …

Representations of spectral coordinates in FITS

EW Greisen, MR Calabretta, FG Valdes… - Astronomy & …, 2006 - aanda.org
Greisen & Calabretta (2002, A&A, 395, 1061) describe a generalized method for specifying
the coordinates of FITS data samples. Following that general method, Calabretta & Greisen …

pyspeckit: A spectroscopic analysis and plotting package

A Ginsburg, V Sokolov, M de Val-Borro… - The Astronomical …, 2022 - iopscience.iop.org
Abstract pyspeckit is a toolkit and library for spectroscopic analysis in Python. We describe
the pyspeckit package and highlight some of its capabilities, such as interactively fitting a …

Accuracy of period determination

A Schwarzenberg-Czerny - Monthly Notices of the Royal …, 1991 - academic.oup.com
Periods of oscillation are frequently found using one of two methods: least-squares (LSQ) fit
or power spectrum. Their errors are estimated using the LSQ correlation matrix or the …