eprintid: 1448267 rev_number: 34 eprint_status: archive userid: 608 dir: disk0/01/44/82/67 datestamp: 2014-09-18 19:56:32 lastmod: 2021-09-20 00:24:46 status_changed: 2017-03-21 10:46:27 type: article metadata_visibility: show item_issues_count: 0 creators_name: Waldmann, IP creators_name: Pascale, E title: Data analysis Pipeline for EChO end-to-end simulations ispublished: pub divisions: UCL divisions: B04 divisions: C06 divisions: F60 keywords: astro-ph.IM, astro-ph.IM, astro-ph.EP note: © The Author(s) 2014. This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. abstract: Atmospheric spectroscopy of extrasolar planets is an intricate business. Atmospheric signatures typically require a photometric precision of $1 \times 10^{-4}$ in flux over several hours. Such precision demands high instrument stability as well as an understanding of stellar variability and an optimal data reduction and removal of systematic noise. In the context of the EChO mission concept, we here discuss the data reduction and analysis pipeline developed for the EChO end-to-end simulator EChOSim. We present and discuss the step by step procedures required in order to obtain the final exoplanetary spectrum from the EChOSim`raw data' using a simulated observation of the secondary eclipse of the hot-Neptune 55 Cnc e. date: 2015-12 official_url: http://dx.doi.org/10.1007/s10686-014-9408-z vfaculties: VMPS oa_status: green full_text_type: pub language: eng primo: open primo_central: open_green verified: verified_manual elements_source: arXiv elements_id: 927429 doi: 10.1007/s10686-014-9408-z lyricists_name: Waldmann, Ingo lyricists_id: IPWAL02 full_text_status: public publication: Experimental Astronomy volume: 40 number: 2 pagerange: 639-654 issn: 0922-6435 citation: Waldmann, IP; Pascale, E; (2015) Data analysis Pipeline for EChO end-to-end simulations. Experimental Astronomy , 40 (2) pp. 639-654. 10.1007/s10686-014-9408-z <https://doi.org/10.1007/s10686-014-9408-z>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/1448267/1/art_10.1007_s10686-014-9408-z.pdf