 
 
 
 
 
 
 
 
 
 
 Next: 4.6 Point Spread Function
Up: 4. Calibration and Performance
 Previous: 4.4 Transients
 
  
4.5 Flat-Fields
  The flat-field can be defined as the relative response
  of different pixels of the detector to a source with uniform
  brightness distribution within the field of view.
  
  For ISOCAM it is useful to distinguish between the  detector 
  flat-field and the  optical flat-field. 
  The detector flat-field can be defined 
  as the relative response of different pixels to a uniform 
  illumination of the detector, while the optical flat-field can be defined 
  as the relative flux falling onto different pixels when a source of 
  uniform brightness distribution occupies the field of view. 
  The  observed  flat-field results from the product of the detector 
  flat-field and the optical 
  flat-field. The need to separate the two arises because the position jitter
  of the ISOCAM wheels (described in Section 4.11) 
  means that the 
  optical flat-field can move slightly over the detector.
  While the detector flat-field is strictly related to the
  relative sensitivity of the detector pixels to incoming flux, the
  optical flat-field measures the vignetting due to the optical components of
  the camera, in particular the aperture stops near the filters. The
  vignetting profile is a function of the angular distance from the
  optical axis, and with different lens magnifications the detector 
  sees different parts of the vignetting profile.  Even with
  the same lens, different optical flat-fields may arise, as mentioned 
  above, because of the wheel jitter 
  (see Section 4.11).
  In practice, the detector flat-field is not directly observable. So, by
  convention, the flat-field at 1.5
 is defined to be the detector flat-field for any given filter, because it 
  suffers less than other pfov flat-fields from vignetting effects. The 
  optical flat-fields at any pfov are obtained by dividing the observed 
  flat-fields by the 
  appropriate filter detector flat-field.  
  As a consequence, the optical flat-field 
  at 1.5
  is defined to be the detector flat-field for any given filter, because it 
  suffers less than other pfov flat-fields from vignetting effects. The 
  optical flat-fields at any pfov are obtained by dividing the observed 
  flat-fields by the 
  appropriate filter detector flat-field.  
  As a consequence, the optical flat-field 
  at 1.5
 is a matrix with 1's everywhere.
  Flat-fielding is a crucial step in the data processing, in particular
  in the infrared, where the brightness of the background is very often
  comparable to (or higher than) the brightness of the target
  source. Therefore, the generation of flat-fields 
	is a very important step in 
  the overall calibration strategy of ISOCAM.
  It must be noted, 
  however, that many observations in raster and beam-switch mode allow 
  the observer to directly build a flat-field from his data, depending on the
  brightness of the background, and the relative extension of the 
  target source(s) with respect to the raster (or beam-switch) 
  steps. In all staring mode observations, as well as in a few cases of 
  raster and beam-switch observations, particularly of very extended 
  sources or crowded fields, the use of a flat-field library is nevertheless 
  unavoidable.
  There have been two kinds of flat-field observations:
 is a matrix with 1's everywhere.
  Flat-fielding is a crucial step in the data processing, in particular
  in the infrared, where the brightness of the background is very often
  comparable to (or higher than) the brightness of the target
  source. Therefore, the generation of flat-fields 
	is a very important step in 
  the overall calibration strategy of ISOCAM.
  It must be noted, 
  however, that many observations in raster and beam-switch mode allow 
  the observer to directly build a flat-field from his data, depending on the
  brightness of the background, and the relative extension of the 
  target source(s) with respect to the raster (or beam-switch) 
  steps. In all staring mode observations, as well as in a few cases of 
  raster and beam-switch observations, particularly of very extended 
  sources or crowded fields, the use of a flat-field library is nevertheless 
  unavoidable.
  There have been two kinds of flat-field observations:
- observations of the Zodiacal Background, which we will refer to 
    as `ZB flat-fields' in the following;
- observations of the Internal Calibration Device,
    which we will refer to as `ICD flat-fields'.
  
The targets for ZB observations were chosen as close as possible to
  the sun-viewing constraint of ISO in order to maximise their flux.
  The choice of the raster strategy for observation allows the    
  minimisation of possible non-uniformities in the zodiacal background, 
  since a given pixel of the detector sees different sky pixels during 
  the raster, and a flat-field image can be constructed from the median of all 
  raster-position images. A total of 100 ZB
  raster observations were executed in the available ISOCAM calibration 
  time.
  In Figure 4.13 we show four examples of ZB flat-fields 
  in the  LW3 (15
100 ZB
  raster observations were executed in the available ISOCAM calibration 
  time.
  In Figure 4.13 we show four examples of ZB flat-fields 
  in the  LW3 (15 m) filter, with 1.5
m) filter, with 1.5
 , 
   3
, 
   3
 , 6
, 6
 and
  12
 and
  12
 pfov, respectively.
  It can be seen that only the central part of the array is illuminated
  when the 12
 pfov, respectively.
  It can be seen that only the central part of the array is illuminated
  when the 12
 pfov is chosen. The pixel dependent 
  stabilisation times generate a pattern across the images which 
  increases the spatial noise. Low frequency noise levels can be 
  observed for several minutes after a flux step. The main problems are 
  for pixels located at the edges of the array, and on a line in the 
  lower left hand quadrant of the array which has a slightly lower 
  responsivity than the average (and it is usually nicknamed: `the 
  hair'). The flat-fields have been normalised so that the mean of the 
  central 11
 pfov is chosen. The pixel dependent 
  stabilisation times generate a pattern across the images which 
  increases the spatial noise. Low frequency noise levels can be 
  observed for several minutes after a flux step. The main problems are 
  for pixels located at the edges of the array, and on a line in the 
  lower left hand quadrant of the array which has a slightly lower 
  responsivity than the average (and it is usually nicknamed: `the 
  hair'). The flat-fields have been normalised so that the mean of the 
  central 11 11 pixel sub-array is one. This definition has the 
  advantage that vignetted outer pixels do not alter the normalisation 
  factor, causing the flat-field to directly contribute to the 
  photometric calibration factor for the system. (Ideally, the flat-
  field should only adjust spatial fluctuations, it should not affect 
  the average signal level for the array.)
11 pixel sub-array is one. This definition has the 
  advantage that vignetted outer pixels do not alter the normalisation 
  factor, causing the flat-field to directly contribute to the 
  photometric calibration factor for the system. (Ideally, the flat-
  field should only adjust spatial fluctuations, it should not affect 
  the average signal level for the array.)
Figure 4.13:
 Four examples of zodiacal background flat-fields in the LW3 filter.
    From top-left in clockwise order: 1.5
 ,
    3
,
    3
 , 6
, 6
 , 
    12
, 
    12
 pfov,
    respectively.  Note that in the case of the 12
 pfov,
    respectively.  Note that in the case of the 12
 pfov, only part of the array is illuminated.
    pfov, only part of the array is illuminated.
|  | 
 
Even with a careful choice of the brightest zodiacal positions, the 
  zodiacal background does not provide enough illumination for a
  proper calibration of all ISOCAM configurations.  This is the case
  for the shorter-wavelength, small-pfov, configurations of CAM LW, and 
  for all of the SW configurations. For LW a solution was adopted
  to replace the flat-field of configurations with low zodiacal 
  background with the ZB   flat-field of
  a corresponding configuration nearest in wavelength. The only 
  solution for CAM SW was to use the ICD as the calibration source. This 
  choice has the drawback that the ICD does not provide a uniform 
  illumination of the field of view of ISOCAM, and considerable
  vignetting is seen at the edges of the detector. (See
  Section 2.7).
  It is important to stress again that most raster and beam-switch 
  ISOCAM scientific observations can provide independent flat-field 
  estimations.  The idea behind these observing modes was indeed to 
  beat the pixel-to-pixel response variation by observing the same sky 
  region with different pixels. Observers using these observing modes 
  do not need to be particularly concerned about the quality of the 
  calibration flat-fields. The calibration flat-fields are however 
  necessary for staring observations (or when the source is very extended 
 with  respect to the raster dimensions, or the observed field is very 
  crowded).
  Imperfect flat-fielding induces two kind of error:
- photometric
  error arising from the uncertainty in the responsivities of the 
  pixels that see each source; and 
- the photometric error arising from the background subtraction. 
  
As the source will be usually located at 
  the centre of the array, the former error will always be relatively 
  low, of the order of a few percent, even when no sky flat-field is 
  available, 
  since one can safely use the ICD flat-field near the array centre. On the 
  other hand, identifying faint sources over a high-brightness 
  background requires a very accurate flat-field.
  As an example, the currently achieved median accuracy of 0.5% in
  the LW10 6 flat-field
	 means that with an average background 
  flux of 50 ADU/G/s in this configuration, the 1-
 flat-field
	 means that with an average background 
  flux of 50 ADU/G/s in this configuration, the 1- limit for the
  detection of a faint source per pixel is
 limit for the
  detection of a faint source per pixel is  60
60 Jy (using 
  the ADU/G/s to Jy conversion factors from Blommaert 1998,
  [10]). 
  On the other
  hand, the poor accuracy of only 6% that we have reached for the
  LW2 1.5
Jy (using 
  the ADU/G/s to Jy conversion factors from Blommaert 1998,
  [10]). 
  On the other
  hand, the poor accuracy of only 6% that we have reached for the
  LW2 1.5
 flat-field gives a 1-
 flat-field gives a 1- limit per pixel of
 limit per pixel of 
   20
20 Jy for a typical background flux of 0.8 ADU/G/s in this
  configuration (note however that in this low background configuration 
  one needs a long measurement to reduce the readout noise). In other
  words, in the configurations where the
  background flux is high we need a higher flat-field accuracy, but if the
  flux is high, a higher ZB flat-field accuracy is easier to achieve.  The 
  typical flat-field accuracy is about 1-3%.
Jy for a typical background flux of 0.8 ADU/G/s in this
  configuration (note however that in this low background configuration 
  one needs a long measurement to reduce the readout noise). In other
  words, in the configurations where the
  background flux is high we need a higher flat-field accuracy, but if the
  flux is high, a higher ZB flat-field accuracy is easier to achieve.  The 
  typical flat-field accuracy is about 1-3%.
 
 
 
 
 
 
 
 
 
 
 Next: 4.6 Point Spread Function
Up: 4. Calibration and Performance
 Previous: 4.4 Transients
ISO Handbook Volume II (CAM), Version 2.0, SAI/1999-057/Dc