Astronomy and Astrophysics – Astronomy
Scientific paper
Jul 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004aspc..314..759g&link_type=abstract
Astronomical Data Analysis Software and Systems (ADASS) XIII, Proceedings of the conference held 12-15 October, 2003 in Strasbou
Astronomy and Astrophysics
Astronomy
71
Scientific paper
The XMM-Newton Scientific Analysis System (SAS) is the software used for the reduction and calibration of data taken with the XMM-Newton satellite instruments leading to almost 400 refereed scientific papers published in the last 2.5 years. Its maintenance, further development and distribution is under the responsibility of the XMM-Newton Science Operations Centre together with the Survey Science Centre, representing a collaborative effort of more than 30 scientific institutes.
Developed in C++, Fortran 90/95 and Perl, the SAS makes large use of open software packages such as ds9 for image display (SAO-R&D Software Suite), Grace, LHEASOFT and cfitsio (HEASARC project), pgplot, fftw and the non-commercial version of Qt (TrollTech).
The combination of supporting several versions of SAS for multiple platforms (including SunOS, DEC, many Linux flavours and MacOS) in a widely distributed development process which makes use of a suite of external packages and libraries presents substantial issues for the integrity of the SAS maintenance and development. A further challenge comes from the necessity of maintaining the flexibility of a software package evolving together with progress made in instrument calibration and analysis refinement, whilst at the same time being the source of all official products of the XMM-Newton mission. To cope with this requirement, a sophisticated system for continuous integration and testing on several platforms of different branches has been put in place on top of a refined development model designed for this special S/W development case.
The SAS is considered now a mature system. We present the different aspects of its development, maintenance and distribution, extracting lessons learned for present and future projects of this magnitude.
Denby Mark
Fyfe D. Dean J.
Gabriel Carlos
Hoar John
Ibarra Aitor
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