1. SINFONI data reduction using the ESO pipeline

2. Instrument design and its impact on the data (I) integral field spectrometer using mirrors brickwall pattern

3. Instrument design and its impact on the data (II) Near-infrared: strong sky background -> ON - OFF observing strategy

4. Instrument design and its impact on the data (III) Rectangular spatial pixels. Smooth, round PSF with sqare pixels only with many (or suitably offset) dithered positions

5. Data Retrieval Data delivery from ESO archive for one’s own run Obtaining archival data

6. The pipeline: esorex and gasgano pipeline offers two modes of data reduction: command line via esorex, or GUI driven using gasgano

7. Association/tagging Pipeline requires classification of data. Manual for esorex in input file, automatic in gasgano We will therefore use gasgano, but command line mode has advantages for example for large amounts of data to be reduced in a similar way, checking impact of parameter change, etc.

8. The science project The nuclear star-forming ring in NGC 613 (Boeker et al., 2008) Optimally applies the advantages of the instument: Line image and spectral analysis

9. The science project II Band: H+K Scale: 0.25”/pix (8”x8”) observations in 3 different nights proper ON/OFF pairs, 4 pairs/OB DIT=300s, NDIT=1 telluric standards from calibration plan

10. Data reduction: Dark input: Dark frames, 3 or more per DIT output: master dark and bad pixel map

11. Data reduction: Linearity input: Flat frames with different DITs output: master dark and non-linear pixel map

12. Data reduction: Flat input: Flat frames (ON/OFF) output: master Flat

13. Data reduction: Arc input: Arc frames (ON/OFF) output: Wavelength table

14. Data reduction: Distortion input: NS-Frames (75 typically) output: Distortion coefficients

15. Data reduction: Jitter input: Science Frames output: Sky subtracted Science data cube

16. Visualization: QFitsView Display the data cube, extract planes and spectra, do telluric correction, etc.