Planck intermediate results. LV. Reliability and thermal properties of high-frequency sources in the Second Planck Catalogue of Compact Sources
Planck Collaboration: Y. Akrami, M. Ashdown, J. Aumont, C., Baccigalupi, M. Ballardini, A. J. Banday, R. B. Barreiro, N. Bartolo, S., Basak, K. Benabed, J.-P. Bernard, M. Bersanelli, P. Bielewicz, J. R. Bond, J., Borrill, F. R. Bouchet, C. Burigana, E. Calabrese, P. Carvalho

TL;DR
This paper introduces an enhanced catalog of high-frequency sources from Planck data, utilizing a Bayesian method to improve source detection, characterization, and reliability assessment, especially in cirrus-contaminated regions.
Contribution
It presents BeeP, a new Bayesian extraction package that refines the PCCS2 catalog by providing detailed spectral and background modeling for high-frequency sources.
Findings
Produced a high-reliability source subset with over 26,000 entries.
Improved source flux and spectral energy distribution estimates.
Enhanced background and cirrus emission modeling for better source characterization.
Abstract
We describe an extension of the most recent version of the Planck Catalogue of Compact Sources (PCCS2), produced using a new multi-band Bayesian Extraction and Estimation Package (BeeP). BeeP assumes that the compact sources present in PCCS2 at 857 GHz have a dust-like spectral energy distribution, which leads to emission at both lower and higher frequencies, and adjusts the parameters of the source and its SED to fit the emission observed in Planck's three highest frequency channels at 353, 545, and 857 GHz, as well as the IRIS map at 3000 GHz. In order to reduce confusion regarding diffuse cirrus emission, BeeP's data model includes a description of the background emission surrounding each source, and it adjusts the confidence in the source parameter extraction based on the statistical properties of the spatial distribution of the background emission. BeeP produces the following three…
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