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Mapping the hot gas temperature in galaxy clusters using X-ray and Sunyaev-Zel'dovich imaging

Authors :
Adam, R.
Arnaud, M.
Bartalucci, I.
Ade, P.
André, P.
Beelen, A.
Benoît, A.
Bideaud, A.
Billot, N.
Bourdin, H.
Bourrion, O.
Calvo, M.
Catalano, A.
Coiffard, G.
Comis, B.
D'Addabbo, A.
Désert, F. -X.
Doyle, S.
Ferrari, C.
Goupy, J.
Kramer, C.
Lagache, G.
Leclercq, S.
Macías-Pérez, J. -F.
Maurogordato, S.
Mauskopf, P.
Mayet, F.
Monfardini, A.
Pajot, F.
Pascale, E.
Perotto, L.
Pisano, G.
Pointecouteau, E.
Ponthieu, N.
Pratt, G. W.
Revéret, V.
Ritacco, A.
Rodriguez, L.
Romero, C.
Ruppin, F.
Schuster, K.
Sievers, A.
Triqueneaux, S.
Tucker, C.
Zylka, R.
Source :
A&A 606, A64 (2017)
Publication Year :
2017

Abstract

We propose a method to map the temperature distribution of the hot gas in galaxy clusters that uses resolved images of the thermal Sunyaev-Zel'dovich (tSZ) effect in combination with X-ray data. Application to images from the New IRAM KIDs Array (NIKA) and XMM-Newton allows us to measure and determine the spatial distribution of the gas temperature in the merging cluster MACS J0717.5+3745, at $z=0.55$. Despite the complexity of the target object, we find a good morphological agreement between the temperature maps derived from X-ray spectroscopy only -- using XMM-Newton ($T_{\rm XMM}$) and Chandra ($T_{\rm CXO}$) -- and the new gas-mass-weighted tSZ+X-ray imaging method ($T_{\rm SZ}$). We correlate the temperatures from tSZ+X-ray imaging and those from X-ray spectroscopy alone and find that $T_{\rm SZ}$ is higher than $T_{\rm XMM}$ and lower than $T_{\rm CXO}$ by $\sim 10\%$ in both cases. Our results are limited by uncertainties in the geometry of the cluster gas, contamination from kinetic SZ ($\sim 10\%$), and the absolute calibration of the tSZ map ($7\%$). Investigation using a larger sample of clusters would help minimise these effects.<br />Comment: Accepted in AA, 8 pages, 4 figures, 1 table

Details

Database :
arXiv
Journal :
A&A 606, A64 (2017)
Publication Type :
Report
Accession number :
edsarx.1706.10230
Document Type :
Working Paper
Full Text :
https://doi.org/10.1051/0004-6361/201629810