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SINFONI data reduction

SINFONI data reduction. using the ESO pipeline. Instrument design and its impact on the data (I). integral field spectrometer using mirrors brickwall pattern. Instrument design and its impact on the data (II). Near-infrared: strong sky background -> ON - OFF observing strategy.

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SINFONI data reduction

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  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.

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