The conversion from power on the detector in units of W to flux density in Jy or surface brightness in MJysr is presented. The processing of measurements of PHT-P and PHT-C on one hand and PHT-S on the other hand have been separated due to the distinct photometric calibration schemes. Finally, the writing of the resulting data to product files is briefly described.
Operation: Extract the source power from the powers of the
different chopper positions.
The in-band powers of on-source with uncertainty and off-source with uncertainty are read from the SPD product. For each measurement the source power is computed:
(8.3) | |||
(8.4) |
Operation: Derive the sum of the in-band powers of all pixels for
a given PHT-C array.
In case the observer requested the measurement of a point source flux with the PHT-C detector arrays, the total [source+background] power as well as the background power on the array is determined by summing the respective powers over all pixels .
(8.5) |
and for the [source+background] and background power:
(8.6) | |||
(8.7) |
The uncertainties are computed according to:
(8.8) |
The relations for and are similar.
Operation: In case the observer has requested a point source
measurement, a 2 dimensional Gaussian function is fitted to the intensity
pattern on the array. This processing is done in addition to the sum of
all pixel in-band powers (Section 8.4.2).
Caveat: This method of providing point source photometry is not
scientifically validated. In particular in the case of faint sources and
noisy data, the derived fluxes and uncertainties are not
reliable.
To secure a converging fit, an interpolation is performed whenever there are undefined in-band powers for some pixels. The fitting of the 2 dimensional Gaussian itself is performed using standard iterative fitting routines provided by the NAG mathematical routines library (routines E04FDF and E04YCF).
The following parameters are obtained:
Details of the procedure are given in the next sections (Sections 8.4.4 and 8.4.5).
The fitting routine described in Section 8.4.5 requires only valid pixel intensities on the detector array. Interpolation is necessary in case there are `bad' data pixels.
A check is performed to determine whether there is a sufficient number of good pixels for interpolation. For C200 one pixel is allowed to be missing. For C100 the criteria are (1) the presence of the centre pixel (pixel 5) where the source is expected to be and (2) there must be at least 2 good pixels on any side of the array. Criterion (2) is imposed to avoid interpolation using an already interpolated value.
The rules for interpolation are
C200: a b : a = b + c - d c d C100: a b c : b = (a + c)/2 d e f g h i a = b + d - (c + g)/2
where the individual pixels are designated by letters. Note that there is a rotational symmetry about each side; only one orientation is given. The accuracy of the method depends on
The height of the source peak, its position, and the background level is obtained by fitting a Gaussian function to the data. The accuracy of this method depends on the correctness of the assumption of a Gaussian on top of a constant background. The in-band power distribution is considered as a 2 dimensional array:
The x and y axes are the first (along spacecraft z-axis) and second
(along spacecraft y-axis) dimension of the pixel array, respectively,
with origin at the centre of the array. A chi-squared `goodness of fit'
function is defined as
For C100, estimates of the uncertainties on the parameters can be derived
from the Jacobian of the function at the solution. Detailed discussion
of the method
is beyond the scope of this document; the NAG algorithm E04YCF is used. The
nominal uncertainty of the fit is
Since the position of the peak
is not related to its
size or the level of the background on which it is located,
and are largely independent of each other.
Thus adding 2 to the degrees of freedom is justified. This argument
implies that the uncertainties for C100 may be overestimated.
For C200 it is assumed that:
The variances are calculated from:
where is the mean pixel value used to scale into the correct units:
The uncertainty of the fit is estimated as
None. See Chapter E04 of the NAG manual.
Operation: Convert the mean in-band power on a PHT-P or PHT-C
detector (pixel) to a monochromatic flux density (Jy) assuming a
or - equivalently - constant
spectral
energy distribution.
The monochromatic flux density in Jy for PHT-P or PHT-C is derived as follows (see Equation 5.10):
(8.9) |
with uncertainty
(8.10) |
where,
For chopped measurements, the powers , , and are converted to flux densities in Jy. For chopped measurements with C100 only pixel 5 is used for the determination of the source flux. This is different in case of staring mode where the sum over the 9 C100 pixels is employed.
Operation: Convert flux density in Jy to surface
brightness in MJysr.
The surface brightness calculation assumes that the point source flux density has been derived. Based on the point source flux density the surface brightness is determined from:
(8.11) |
with the uncertainty computed according to
(8.12) |
where with the same definitions as in the previous sections,
The values of were computed by using a model which takes into account the ISO telescope mirrors as well as the physical sizes of the apertures in case of PHT-P or detectors in case of PHT-C. The model provided the 2-dimensional beam profile (or `footprint') of each possible aperture/filter (PHT-P) or pixel/filter (PHT-C) combination. The value of was eventually obtained from the integral of the footprint.
Operation: Write a complete PHT-P point source photometry
product.
Write the product FITS header followed by the processed data in a binary table with each record containing the data for a single filter or aperture.
Detailed product descriptions can be found in Sections 13.4 and 13.4.2 (product PPAP).
Operation: Write a complete PHT-P extended source photometry
product.
Write the product FITS header followed by the processed data in a binary table with each record containing the data for a single filter or aperture.
Detailed product descriptions can be found in Sections 13.4 and 13.4.3 (PPAE) for a single pointing product.
Operation: Write a complete PHT-C point source photometry
product.
Write the product FITS header followed by the processed data in a binary table with each record containing the data for a single filter.
Detailed product descriptions can be found in Sections 13.4 and 13.4.4 (PCAP).
Operation: Write a complete PHT-C extended source
photometry product.
Write the product FITS header followed by the processed data in a binary table with each record containing the data for a single filter.
Detailed product descriptions can be found in Section 13.4 and 13.4.5 (PCAE) for a single pointing product.