The FIFI-LS team provides science-ready data reduced with the standard pipeline, but the output datacube often does not contain any useful information for the faint sources. The low signal-to-noise data should be treated differently in order not to lose any information.

Cube example small > I have modified the last steps of the reduction based on the Drizzle algorithm and managed to derive the datacubes with more reasonable spaxel size. With this new technique we discovered the strongest [CII] excess observed so far at low redshift. The technique is described in the Appendix A in my paper. Do not hesitate to contact me if you have any questions.

Example: [CII] line map of HE 1353-1917 with Herschel contours on top.