PACT I: Combining ACT and Planck data for optimal detection of tSZ signal
| Autor: | Aghanim, N., Douspis, M., Hurier, G., Crichton, D., Diego, J. -M., Hasselfield, M., Macias-Perez, J., Marriage, T. A., Pointecouteau, E., Remazeilles, M., Soubrie, E. |
|---|---|
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | A&A 632, A47 (2019) |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1051/0004-6361/201935271 |
| Popis: | We present the optimal reconstruction of the thermal Sunyaev-Zel'dovich (tSZ) effect signal based on the combination of a heterogeneous dataset consisting of ACT and Planck data, with different numbers of channels, angular resolutions and noise levels. We combine both datasets using two different approaches, a Matched Multi-Filter (MMF) technique and an optimised Internal Linear Combination (ILC). We show that when applying the MMF to the combination of ACT and Planck data, the size-flux degeneracy is reduced and the signal-to-noise of clusters detected with their SZ signal improves by up to a factor of three. In the case of the optimised ILC method, we show that the tSZ map is reconstructed with a resolution of $\sim 1.5$ arcmin. This is more than a factor two improvement compared with the Planck resolution, and with a very good control of noise, i.e. limited only by the intrinsic noise of the individual experiments. The combination of ACT and Planck data offers a unique opportunity to improve on the study of the pressure profiles and to study substructure in clusters through their tSZ. Comment: 10 pages, 10 figures |
| Databáze: | arXiv |
| Externí odkaz: |
|