Poster + Paper
31 August 2022 Proper evaluation of spatially correlated noise in interferometric images
Author Affiliations +
Conference Poster
Abstract
Recent interferometers (e.g. ALMA and NOEMA) allow us to obtain the detailed brightness distribution of the astronomical sources in 3 dimension (R.A., Dec., frequency). However, the interpixel correlation of the noise due to the limited uv coverage makes it difficult to evaluate the statistical uncertainty of the measured quantities and the statistical significance of the obtained results. The noise correlation properties are characterized by the noise autocorrelation function (ACF). We will present the method for (1) estimating the statistical uncertainty due to the correlated noise in the spatially integrated flux and spectra directly from the noise ACF and (2) simulating the correlated noise to perform a Monte Carlo simulation in image analyses. Our method has potential applications to a range of astronomical images of not only interferometers but also single dish mapping observation and interpolated and resampled optical images.
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Takafumi Tsukui, Satoru Iguchi, Ikki Mitsuhashi, and Kenichi Tadaki "Proper evaluation of spatially correlated noise in interferometric images", Proc. SPIE 12190, Millimeter, Submillimeter, and Far-Infrared Detectors and Instrumentation for Astronomy XI, 121901C (31 August 2022); https://doi.org/10.1117/12.2629721
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KEYWORDS
Astronomy

Interferometry

Visibility

Fourier transforms

Monte Carlo methods

Image analysis

Statistical analysis

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