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Feasibility: SIS+XRT

Preamble: SIS Observing Modes and Feasibility

To a much greater extent than for the GIS, the feasibility of SIS observations is intimately associated with the choice of observing mode. Proposers are strongly encouraged to run PIMMS to determine which modes can be used, especially for bright sources.

Count Rate Limitations

There are three limits to how bright a source the SIS can profitably observe:

1.
Telemetry limit. This is the absolute capacity of the instrument for telemetering X-ray events. If it is exceeded, events are missed. The limit itself depends on bit rate and observing mode, against which the sum of X-ray counting rate and hot and flickering pixel rates must be compared.
2.
Photon pile-up limit. If the count rate is such that closely spaced events arrive within a readout time, the SIS cannot tell whether a given charge cloud is due to one event or two events. This phenomenon is known as photon pile-up and is manifested as a limit because its severity increases with count rate.

This limits are detailed below. They can be used in conjunction with the PIMMS simulation program which offers a convenient way of deriving SIS and GIS count rates and of assessing whether a proposed observation falls within these limits. PIMMS is described in the next chapter.

Telemetry Limit

Telemetry is divided into frames, each of which consists of 128 8-bit words. Under normal operation, SIS event data occupy 1/2 of each frame (the rest are for housekeeping and GIS data). Since the data rate is 1, 4, 32 frame s-1 in low, medium, high bit rate, respectively, the SIS event data can be acquired and telemetered up to a limit of 64, 256, 2048 word s- 1 in these three bit rates, to be shared between the two SIS cameras. One event occupies 16, 4, 2 words in faint, bright, fast mode, respectively. The combination of CCD mode and bit rate results in nine possible combinations ranging from 2-512 event s-1 SIS-1.

The hot and flickering pixel rate has remained roughly constant in 1-CCD mode; secular increase is, however, observed in 2-CCD mode. The use of an increased event threshold ($\sim$0.4 keV on all chips) has reduced the number significantly. The table below gives the telemetry limits as of 1997 February. For more recent observations, it has become rather difficult to express the telemetry saturation limit in this form, because of the frequent use of level discrimination. However, the numbers without an asterisk have not changed significantly. During the AO-7 period, 2-CCD Bright mode and 1-CCD Faint mode observations probably need level discrimination at about $\sim$0.5 keV to avoid telemetry saturatino at Medium bit rate.

Telemetry limits (event s-1 SIS-1)

  Faint Bright Fast
  2 1 2 1 (1)
High 15 40 105 225 477
Medium - 1* 2* 17 41

(A ``-'' indicates that telemetry saturation will occur even when source counts are negligible. A `*' indicates that a modest amount of level discrimination is recommended.)

For a quick order-of-magnitude reference for the source counting rate, use events s-1 SIS $^{-1} \sim$ 1 mCrab. However, the simulator program PIMMS can be used to estimate the SIS count rate more accurately (see Chapter 10). If you cannot obtain and run PIMMS, please contact the ASCA GOF at:

ascahelp@athena.gsfc.nasa.gov

Photon pile-up limit

In the imaging modes of the SIS (bright or faint), the CCD is exposed to X-rays for multiples of 4 seconds, depending on the clocking mode (see Chapter 7 for details). If two photons strike the same or neighboring pixels during a single exposure, there is no way of distinguishing this pair of photons from a single photon of a higher energy (Eh=E1+E2). The count rate must be low enough that such ``pile-ups'' are kept to an acceptable level.

The XRT point-spread function (PSF) reduces the number of pile-up events because photons are spread over many pixels of the CCD. Nevertheless, for a bright point source, an appreciable amount of pile-up may occur in the core of the image. Figure 9.2 shows this effect as a function of the distance away from the center of the source. A two-component representation of the PSF (Gaussian plus exponential tail) was used for this calculation; the probability calculated is that of two or more photons being detected within a single $3\times 3$ pixel area at the position given. Note that at 0.01 per cent pile-up in this definition, 0.7 per cent of detected events are caused by multiple photons; the number is 7 per cent for 1 per cent pile-up.

Photon pile-ups do not necessarily invalidate all spectral analysis. In fact, experimental software exists that can correct the effect of photon pile-ups, which is likely to be released to the community in the near future. However, this software relies on knowing the correct spectral shape of the source to calculate the correction; therefore, it can be used only in the regime where the pile-up correction is small (when it is large, the effect becomes non-linear). Therefore events detected near the core of the PSF need to be discarded, reducing the effective count rate.

Figure 9.2 summarizes the photon pile-up limits: use this figure for observations of bright point sources; all lines on this figure are appropriate for 1-CCD mode, as other modes are unlikely. First estimate the total count rate of your source and draw a horizontal line across the figure to estimate the degree to which photon pile-up may affect your data. For example, a 30 cps source may be affected by pile-up at the 1% level within the central 20 arcsec radius of the image, and at the 0.01% level within 2 arcmin. Obviously, you will also need to take into account telemetry saturation limits as described in §9.2.1.

Extended source observations

Due to RDD (see Chapter 7 for details), the quality of 4-CCD mode data will have degraded to the point where using 2-CCD mode will always appear to give better results. This will be true for the AO-7 period from the efficiency argument alone; in addition, 4-CCD mode data will have significantly worse energy resolution.

If your science requires the $22\times 22$ arcmin2 field of view, this should be accomplished by using 2-CCD mode, with the two SIS instruments observing the adjacent $11\times 22$ arcmin2 areas of the sky. This obviously requires an increased integration time; if the science depends on the SIS data, then exposure time must be doubled for reduced coverage. Strictly speaking, to recover the same amount of photons as would have been acquired immediately after launch, an additional factor of about 1.1 is necessary as the efficiency of the 2-CCD mode is becoming lower.

Proposals requiring this should discuss the scientific need for the wider field of view, now that increased sky coverage requires increased satellite time.

Limitations of Imaging Observations

PSF

Figures 5.3d & 5.3f show the shape of the XRT point spread function (the CCD itself can be considered a perfect imager by comparison). The shape of the PSF (a sharp core with a broad wing) has two important implications which also apply to GIS observations:

Image scale

The image scale and area are summarized in Chapter 5 and in Figure 4.5. Important things to note are the small overall field of view of the SIS and the gaps between the CCDs. For an extended source or a cluster of point sources, these features may become problematic. Note further that the use of all four CCDs may not always be feasible if the extended source is bright (see telemetry limit above). If an extended source requires all four CCDs yet is too bright for the 4-CCD mode, one can in principle use 2-CCD mode and use complementary chips so that SIS-0 covers one half of the field and SIS-1 the other. However, this would be considered a non-standard request.

Limitations of Timing Observations

Imaging modes

The clocking mode determines the time resolution of the observations to a multiple of 4 seconds (i.e.,there is no information whatsoever on when, during those $4\times n$ seconds, a particular photon was detected).

Fast mode

Fast mode works by continuously reading out one of the four CCDs. The highest possible time resolution is 15.625 msec, with the following caveats.

Limitations of Spectral Observations

Effective Area

The combined effective area of 1 XRT+SIS (including thermal shield and the blocking filter) is plotted in Figure 9.5. The combined throughput for XRT+SIS is measured on-board by cross calibrating from XRT+GIS, which is in turn calibrated using observations of the Crab (which is too bright for the SIS). The XRT+SIS calibration is limited by (1) the accuracy with which the Crab spectrum is known; (2) accuracy with which the energy dependent point-spread function of the XRT has been estimated; (3) the counting statistics in the GIS/SIS cross-calibration observations; and (4) below $\sim$0.7 keV, the need to extrapolate the spectrum of cross-calibration target from the GIS range.

Up to date information on the limitation of SIS effective area (and other) calibration can be found on the ASCA GOF home page.

Resolution

Spectral resolution of SIS, in the absence of photon pile-ups, is determined by the Fano factor, thermal noise (fluctuation in the number of electrons), and the read-out-noise (RON). Thermal noise is reduced by cooling the CCD. As a result, the best-case FWHM resolution at photon energy E (keV) is:


\begin{displaymath}\Delta E=8.60\times10^{-3} \sqrt{{\rm
RON}^2+F{E\over{3.65\times10^{-3}}}}\end{displaymath}

At launch, RON was about 5 e- RMS and the Fano factor was $F_0 \sim$0.12. The effect of non-uniform CTI has been modeled by the SIS team as a linear increase in the effective Fano factor:


\begin{displaymath}F=F_0 + F_1 \times t\end{displaymath}

Where t is time since launch in seconds, and F1 is 2.7 $\times 10^{-9}$for SIS-0 and 3.3 $\times 10^{-9}$ for SIS-1. The effective RON has become somewhat worse than 5 e- RMS in 2-CCD mode due to RDD effects (and much worse in 4-CCD mode). The resolution of SIS-1 without RDD, according to the above formulae, at 6 different epochs, are plotted in Figure 8.5b.

Note, however, the above formula applies only to single-pixel events. For split events, where the electrons produced by the photon are spread over several pixels, all the PHA values from those will normally be added together to maximize the chance of recovering the true photon energy. This, however, effectively multiplies the RON.

Details of actual measurements of the SIS energy resolution using Cas A observations can be found in ASCA Newsletter #5 (Dotani et al. 1997). Please note the if your proposed science depends on the energy resolution of the SIS then you must take into account the degraded SIS energy resolution.

Figure Captions

figure9_2
Figure 9.2: The extent to which bright source data may be affected by photon pile-up as a function of count rate and off-axis angle. See text for details.

figure9_5
Figure 9.5: The effective area of a single SIS and XRT combined for three off-axis angles (0, 5, 10 arcmin).


next up previous contents
Next: Simulations Up: ASCA AO7 Appendix E Previous: Feasibility: GIS+XRT
Michael Arida
1998-06-02