EPJ Web of Conferences (Jan 2020)

NIKA2 mapping and cross-instrument SED extraction of extended sources with Scanamorphos

  • Roussel H.,
  • Ponthieu N.,
  • Adam R.,
  • Ade P.,
  • André P.,
  • Andrianasolo A.,
  • Aussel H.,
  • Beelen A.,
  • Benoît A.,
  • Bideaud A.,
  • Bourrion O.,
  • Calvo M.,
  • Catalano A.,
  • Comis B.,
  • De Petris M.,
  • Désert F.-X.,
  • Doyle S.,
  • Driessen E. F. C.,
  • Gomez A.,
  • Goupy J.,
  • Kéruzoré F.,
  • Kramer C.,
  • Ladjelate B.,
  • Lagache G.,
  • Leclercq S.,
  • Lestrade J.-F.,
  • Macías-Pérez J.F.,
  • Mauskopf P.,
  • Mayet F.,
  • Monfardini A.,
  • Perotto L.,
  • Pisano G.,
  • Revéret V.,
  • Ritacco A.,
  • Romero C.,
  • Ruppin F.,
  • Schuster K.,
  • Shu S.,
  • Sievers A.,
  • Tucker C.,
  • Zylka R.

DOI
https://doi.org/10.1051/epjconf/202022800024
Journal volume & issue
Vol. 228
p. 00024

Abstract

Read online

The steps taken to tailor to NIKA2 observations the Scanamorphos algorithm (initially developed to subtract low-frequency noise from Herschel on-the-fly observations) are described, focussing on the consequences of the different instrument architecture and observation strategy. The method, making the most extensive use of the redundancy built in the multi-scan coverage with large arrays of a given region of the sky, is applicable to extended sources, while the pipeline is so far optimized for compact sources. An example of application is given. A related tool to build consistent broadband SEDs from 60 microns to 2 mm, combining Herschel and NIKA2 data, has also been developed. Its main task is to process the data least affected by low-frequency noise and coverage limitations (i.e. the Herschel data) through the same transfer function as the NIKA2 data, simulating the same scan geometry and applying the same noise and atmospheric signal as extracted from the 1mm and 2mm data.