Timeline analysis and wavelet multiscale analysis of the AKARI All-Sky Survey at 90 micron

Autor: Woong-Seob Jeong, Michael Rowan-Robinson, Nurur Rahman, Sunao Hasegawa, E. Figueredo, Seb Oliver, Tomotsugu Goto, Stephen Serjeant, Shuji Matsuura, Issei Yamamura, Chris Pearson, R. S. Savage, Dave Clements, Mai Shirahata, Takao Nakagawa, Lingyu Wang, Glenn J. White, Matthew Thomson, Thomas G. Müller, Hiroshi Shibai
Jazyk: angličtina
Rok vydání: 2008
Předmět:
ISSN: 0035-8711
Popis: We present a careful analysis of the point source detection limit of the AKARI All-Sky Survey in the WIDE-S 90 $\mu$m band near the North Ecliptic Pole (NEP). Timeline Analysis is used to detect IRAS sources and then a conversion factor is derived to transform the peak timeline signal to the interpolated 90 $\mu$m flux of a source. Combined with a robust noise measurement, the point source flux detection limit at S/N $>5$ for a single detector row is $1.1\pm0.1$ Jy which corresponds to a point source detection limit of the survey of $\sim$0.4 Jy. Wavelet transform offers a multiscale representation of the Time Series Data (TSD). We calculate the continuous wavelet transform of the TSD and then search for significant wavelet coefficients considered as potential source detections. To discriminate real sources from spurious or moving objects, only sources with confirmation are selected. In our multiscale analysis, IRAS sources selected above $4\sigma$ can be identified as the only real sources at the Point Source Scales. We also investigate the correlation between the non-IRAS sources detected in Timeline Analysis and cirrus emission using wavelet transform and contour plots of wavelet power spectrum. It is shown that the non-IRAS sources are most likely to be caused by excessive noise over a large range of spatial scales rather than real extended structures such as cirrus clouds.
Comment: 16 pages, 19 figures, 5 tables, accepted for publication in MNRAS
Databáze: OpenAIRE
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