2014
DOI: 10.1093/mnras/stu575
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Constraints on the CMB temperature evolution using multiband measurements of the Sunyaev–Zel'dovich effect with the South Pole Telescope

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Cited by 58 publications
(71 citation statements)
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“…In practice this approach is consistent with a scaling aT CMB = constant, but with lower precision than obtained here from Planck (e.g., Battistelli et al 2002;Luzzi et al 2009;Saro et al 2014;Hurier et al 2014). A simple T CMB = T 0 (1 + z) 1−β modification to the standard temperature redshift relation is frequently discussed in the literature (though this case is not justified by any physical model and is difficult to realize without creating a CMB spectral distortion, see Chluba 2014).…”
Section: Measuring a 2s→1s With Planckmentioning
confidence: 50%
“…In practice this approach is consistent with a scaling aT CMB = constant, but with lower precision than obtained here from Planck (e.g., Battistelli et al 2002;Luzzi et al 2009;Saro et al 2014;Hurier et al 2014). A simple T CMB = T 0 (1 + z) 1−β modification to the standard temperature redshift relation is frequently discussed in the literature (though this case is not justified by any physical model and is difficult to realize without creating a CMB spectral distortion, see Chluba 2014).…”
Section: Measuring a 2s→1s With Planckmentioning
confidence: 50%
“…Improved methodologies were suggested in [205] and subsequently exploited [210,211,212,213]. Estimations of T CMB (z) through the SZ effect are currently limited to z < 1 due to the scarcity of galaxy clusters at high redshifts.…”
Section: Cmb Temperature and Distance Dualitymentioning
confidence: 99%
“…To mimic this effect in the BK11 and MXXL N-body simulations, where we have neither mock SZ nor mock X-ray observations, we employ offset distributions derived from the Magneticum Pathfinder Simulation (Dolag, Komatsu & Sunyaev 2016; see also Bocquet et al 2016), which is a large volume, high-resolution cosmological hydrodynamical simulation. It includes simulated SZ and X-ray observations, where we make use of SPT mock catalogues (Saro et al 2014;Gupta et al 2017) that include the full SPT cluster detection procedure. We find that the most relevant parameter regarding the centring uncertainty when using the SZ centres is the smoothing scale θ c used for the cluster detection (see Bleem et al 2015).…”
Section: Miscentring Distributionsmentioning
confidence: 99%