2022
DOI: 10.1051/0004-6361/202141123
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The eROSITA Final Equatorial-Depth Survey (eFEDS)

Abstract: Context. In 2019, the eROSITA telescope on board the Russian-German satellite Spectrum-Roentgen-Gamma (SRG) began to perform a deep all-sky X-ray survey with the aim of identifying ~100 000 clusters and groups over the course of four years. As part of its performance verification phase, a ~140 deg2 survey, called eROSITA Final Equatorial-Depth Survey (eFEDS), was performed. With a depth typical of the all-sky survey after four years, it allows tests of tools and methods as well as improved predictions for the … Show more

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Cited by 32 publications
(26 citation statements)
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“…In this work, we impose the threshold 𝑓 cont < 0.3, reducing the cluster catalog from 542 to 477 clusters. The contamination due to point sources in the initial cluster catalog is estimated to be ≈ 20% (Liu et al 2022a) using the simulations (Liu et al 2022b); therefore, the residual contamination after the optical confirmation is expected to be at a level of ≈ 0.3 × 20% ≈ 6% (Klein et al 2022). A more stringent cut of 𝑓 cont < 0.2, as previously used in the weak-lensing mass calibration (Chiu et al 2022), would further discard ≈ 20 clusters (corresponding to a 5% difference in the sample size) and reduce the contamination rate to ≈ 4%.…”
Section: The Efeds Cluster Samplementioning
confidence: 99%
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“…In this work, we impose the threshold 𝑓 cont < 0.3, reducing the cluster catalog from 542 to 477 clusters. The contamination due to point sources in the initial cluster catalog is estimated to be ≈ 20% (Liu et al 2022a) using the simulations (Liu et al 2022b); therefore, the residual contamination after the optical confirmation is expected to be at a level of ≈ 0.3 × 20% ≈ 6% (Klein et al 2022). A more stringent cut of 𝑓 cont < 0.2, as previously used in the weak-lensing mass calibration (Chiu et al 2022), would further discard ≈ 20 clusters (corresponding to a 5% difference in the sample size) and reduce the contamination rate to ≈ 4%.…”
Section: The Efeds Cluster Samplementioning
confidence: 99%
“…After the construction of the cluster catalog, each cluster candidate is then further analysed using the optical imaging from the DESI Legacy Imaging Survey (Dey et al 2019) and the Hyper Suprime-Cam (HSC) Subaru Strategy Program (Aihara et al 2018a). This optical confirmation analysis is carried out using the Multi-Component Matched Filter (MCMF; Klein et al 2018) algorithm with the estimated properties fully described and publicly available in Klein et al (2022). We refer the reader to Klein et al (2022) for a complete description and only summarize the key results, as follows.…”
Section: The Efeds Cluster Samplementioning
confidence: 99%
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