Testing source confusion and identification capability in Cherenkov telescope array data
نویسندگان
چکیده
The Cherenkov Telescope Array will provide the deepest survey of Galactic Plane performed at very-high-energy gamma-rays. Consequently, this unavoidably face challenge source confusion, i.e., non-unique attribution signal to a due multiple overlapping sources. Among known populations gamma-ray sources and given their extension number, pulsar wind nebulae (PWNe, PWN TeV halos) be most affected. We aim probe confusion PWNe in forthcoming CTA data. For purpose, we analyzed simulations artificially confused with CTA. As basis for our simulations, applied study data collected from H.E.S.S. Survey ten extended two point-like firmly identified PWNe, probing various configurations involving different projected separations, relative orientations, flux levels, extensions among Source defined here appear when sum Gaussian width is larger than separation between centroids, occurred $\sim$30% simulations. sample 0.5$\deg$ average sources, found that can likely resolve up 60% those above 500 GeV. Finally, also considered isolated see how well they could matched library morphological templates. outcome indicates remarkable capability (more 95% cases studied) match simulation correct input template its proper orientation.
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ژورنال
عنوان ژورنال: Monthly Notices of the Royal Astronomical Society
سال: 2022
ISSN: ['0035-8711', '1365-8711', '1365-2966']
DOI: https://doi.org/10.1093/mnras/stac2910