INDEX:



THE CHOPPED AND NODDED IMAGES



The figure below shows how the chopped and nodded technique works.


a) Image obtained by pointing the telescope on the source.
b) Image obtained by moving the secondary mirror; image b) is shifted with respect to a) by  arcsec in the direction of the columns.
c) Image obtained by moving the primary mirror of the telescope (nodded); image c) is shifted with respect to a) by - arcsec in the direction oER> arcsec in the direction of the columns.
d) Image obtained moving the secondary mirror of the moved telescope (nodded).
e) Image obtained subtracting a) and b) (chopped).
f) Image obtained subtracting c) and d) (chopped).
g) Image obtained subtracting e) and f) (chopped and nodded).
 
 


 


MATHEMATICAL MODEL FOR CHOPPED AND NODDED IMAGES




If x, y are angular coordinates in the sky, the signal sp coming from the direction {x,y} at time t and detected on the corresponding pixel P of the detector can be expressed as:

        (1)      [figure a)]

where f is the unknown brightness distribution of the celestial source and a is the large and time-variable thermal background flux. The transfer function of the detection system Tp includesSIZE=-2>p includes the collecting area of the telescope, the field of view of each individual pixel and the overall optical transmission.
Under the conditions described by equation (1) it is clear that a small error in the estimate of a will dramatically affect the extraction of the signal f.

The background a can be obtained in principle by pointing the telescope to a sky area close to the region of interest at a time t' close to t. Assuming that this area corresponds to a shift  in the y coordinate, then the new signal s'p detected at the pixel P is

          (2)     [figure b)]

The quantity  is called chopping throw or chopping amplitude.
In order to remove the background signal, we use the chopping and nodding technique, obtaining the so-called chopping and nodding image:

        (3)     [figure g)]

i.e. an image which is independent of the atmospheric background and telescope thermal pattern.


We take, for simplicity, Tp = 1 in equation (3). Then by computing the Fourier transform of both sides we get

        (4)

where are the spatial frequencies associated with the variables x, y respectively.


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