Joint signal extraction from galaxy clusters in X-ray and SZ surveys: A matched-filter approach

Tarrío, Paula; Melin, J.-B.; Arnaud, M.; Pratt, G. W.

doi:10.1051/0004-6361/201628366

Cited by 10 publications

(37 citation statements)

References 38 publications

(56 reference statements)

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“…are the convolutions of the normalized cluster 2D spatial profiles (SZ and X-ray components, respectively) with the point spread function (PSF) of the instruments at the different frequencies; and the constant C is a geometrical factor that accounts for the different shapes of the SZ and X-ray 3D profiles (Eq. 25 of Tarrío et al (2016)). A more elaborated description of the filter can be found in Tarrío et al (2016) and Tarrío et al (2018).…”

Section: Joint Detection Methodsmentioning

confidence: 98%

“…These profiles are not known in practice, so they need to be approximated by the theoretical profiles that best represent the clusters we want to detect. As in Tarrío et al (2016) and Tarrío et al (2018), we assume the generalized Navarro-Frenk-White (GNFW) profile (Nagai et al 2007) given by…”

Section: Joint Detection Methodsmentioning

confidence: 99%

“…We note that the error on Y 500 obtained by the filter (Eq. 28 of Tarrío et al (2016)) does not only depend on the S/N, but also on the variance of the filtered Poisson fluctuations on the signal. The catalogue also contains the information obtained from the external validation (see details in Sect.…”

Section: Comprass Cataloguementioning

confidence: 99%

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ComPRASS: a Combined Planck-RASS catalogue of X-ray-SZ clusters

Tarrío

Melin

Arnaud

2019

A&A

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We present the first all-sky catalogue of galaxy clusters and cluster candidates obtained from joint X-ray-SZ detections using observations from the Planck satellite and the ROSAT all-sky survey (RASS). The catalogue contains 2323 objects and has been validated by careful cross-identification with previously known clusters. This validation shows that 1597 candidates correspond to already known clusters, 212 coincide with other cluster candidates still to be confirmed, and the remaining 514 are completely new detections. With respect to Planck catalogues, the ComPRASS catalogue is simultaneously more pure and more complete. Based on the validation results in the SPT and SDSS footprints, the expected purity of the catalogue is at least 84.5%, meaning that more than 365 clusters are expected to be found among the new or still to be confirmed candidates with future validation efforts or specific follow-ups.

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Section: Joint Detection Methodsmentioning

confidence: 98%

Section: Joint Detection Methodsmentioning

confidence: 99%

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ComPRASS: a Combined Planck-RASS catalogue of X-ray-SZ clusters

Tarrío

Melin

Arnaud

2019

A&A

Self Cite

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“…For instance, Remazeilles et al (2013) propose a method which implements needlet decomposition, while in the recent work by Aghanim et al (2019) the authors apply suitable matched multi-filters (see e.g. Herranz et al 2002;Melin et al 2006;Tarrío et al 2016Tarrío et al , 2018 to data from Planck and from the Atacama Cosmology Telescope (Swetz et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Spectral imaging of the thermal Sunyaev–Zel’dovich effect in X-COP galaxy clusters: method and validation

Baldi

Bourdin

Mazzotta

et al. 2019

A&A

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The imaging of galaxy clusters through the Sunyaev-Zel'dovich effect is a valuable tool to probe the thermal pressure of the intra-cluster gas especially in the outermost regions, where X-ray observations suffer from photon statistics. For the first time, we produce maps of the Comptonization parameter by applying a locally parametric algorithm for sparse component separation to the latest frequency maps released by Planck. The algorithm takes into account properties of real cluster data through a two-component modelling of the spectral energy density of thermal dust, and a masking of bright point sources. Its robustness has been improved in the low signal-to-noise regime, thanks to the implementation of a deconvolution of Planck beams in the chi-square minimization of each wavelet coefficient. We apply this procedure to twelve low-redshift galaxy clusters detected by Planck with the highest signal-to-noise ratio, considered for the XMM Cluster Oustkirts Project (X-COP). Our images show the presence of anisotropic features, such as small-scale blobs and filamentary substructures, located in the outskirts of a number of clusters in the sample. The significance of their detection is established via a bootstrap-based procedure we propose here for the first time. In particular, we present a qualitative comparison with X-ray data for two interesting systems, namely A2029 and RXC1825. Our results show an agreement on the features detected in the outskirts of the clusters in the two bands.

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“…Biffi, Dolag & Merloni 2018;Koulouridis et al 2018). Tarrío et al (2016) and Tarrio18 recently demonstrated that point source confusion can be reduced by a joint SZ and X-ray MMF analysis, using their very different spectral characteristics at microwave frequencies compared to the X-ray regime.…”

Section: Introductionmentioning

confidence: 99%

Introducing constrained matched filters for improved separation of point sources from galaxy clusters

Erler

Ramos-Ceja

Basu

et al. 2019

Monthly Notices of the Royal Astronomical Society

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Matched filters (MFs) are elegant and widely used tools to detect and measure signals that resemble a known template in noisy data. However, they can perform poorly in the presence of contaminating sources of similar or smaller spatial scale than the desired signal, especially if signal and contaminants are spatially correlated. We introduce new multicomponent MF and matched multifilter (MMF) techniques that allow for optimal reduction of the contamination introduced by sources that can be approximated by templates. The application of these new filters is demonstrated by applying them to microwave and X-ray mock data of galaxy clusters with the aim of reducing contamination by point-like sources, which are well approximated by the instrument beam. Using microwave mock data, we show that our method allows for unbiased photometry of clusters with a central point source but requires sufficient spatial resolution to reach a competitive noise level after filtering. A comparison of various MF and MMF techniques is given by applying them to Planck multifrequency data of the Perseus galaxy cluster, whose brightest cluster galaxy hosts a powerful radio source known as Perseus A. We also give a brief outline how the constrained MF (CMF) introduced in this work can be used to reduce the number of point sources misidentified as clusters in X-ray surveys like the upcoming eROSITA all-sky survey. A PYTHON implementation of the filters is provided by the authors of this manuscript at https://github.com/j-erler/pymf.

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Joint signal extraction from galaxy clusters in X-ray and SZ surveys: A matched-filter approach

Cited by 10 publications

References 38 publications

ComPRASS: a Combined Planck-RASS catalogue of X-ray-SZ clusters

ComPRASS: a Combined Planck-RASS catalogue of X-ray-SZ clusters

Spectral imaging of the thermal Sunyaev–Zel’dovich effect in X-COP galaxy clusters: method and validation

Introducing constrained matched filters for improved separation of point sources from galaxy clusters

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