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J. Knoche

Researcher at Max Planck Society

Publications -  117
Citations -  23755

J. Knoche is an academic researcher from Max Planck Society. The author has contributed to research in topics: Planck & Cosmic microwave background. The author has an hindex of 75, co-authored 117 publications receiving 22134 citations.

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Planck intermediate results: XXIX. All-sky dust modelling with Planck, IRAS, and WISE observations

Peter A. R. Ade, +248 more
TL;DR: In this article, the authors used the DL dust model to generate maps of the dust mass surface density, the dust optical extinction AV, and the starlight intensity heating the bulk of the Dust, parametrized by Umin.
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Planck 2015 results. XII. Full Focal Plane simulations

Peter A. R. Ade, +229 more
TL;DR: The 8th Full Focal Plane Simulation Set (FFP8) as mentioned in this paper was deployed in support of the Planck 2015 results and consists of 10 fiducial mission realizations reduced to 18144 maps, together with the most massive suite of Monte Carlo realizations of instrument noise and CMB ever generated.
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Planck 2013 results - VIII. HFI photometric calibration and mapmaking

Peter A. R. Ade, +284 more
TL;DR: In this paper, the authors describe the methods used to produce photometrically calibrated maps from the Planck High Frequency Instrument (HFI) cleaned, time-ordered information.
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Planck 2015 results: XXI. The integrated Sachs-Wolfe effect

Peter A. R. Ade, +279 more
TL;DR: In this article, the integrated Sachs-Wolfe (ISW) effect from the Planck 2015 temperature and polarization data release is investigated from different perspectives, and the authors show that the ISW effect is detected only at ≈3σ, which is similar to the detection level achieved by combining the cross-correlation signal coming from all the galaxy catalogues mentioned above.
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Planck 2015 results - XII. Full focal plane simulations

Peter A. R. Ade, +294 more
TL;DR: Generated at a cost of some 25 million CPU-hours spread across multiple high-performance-computing (HPC) platforms, FFP8 is used to validate and verify analysis algorithms and their implementations, and to remove biases from and quantify uncertainties in the results of analyses of the real data.