Some familiarity with the basics of X-ray astronomy in general and XMM-Newton in particular are not required when preparing and analyzing the data, but users may find a little context to be insightful. Here, we present here a short introduction/refresher to two things that have a strong bearing on the SAS tasks that we'll run and the decisions we'll make when processing our data. People who are very new to this topic may wish to read “The Absolute Beginners Guide to XMM” and references therein first.
The CCDs that detect X-rays are photon-counters. When an X-ray photon or cosmic ray
hits a CCD (i.e., there is an “event”), the instrument records 1) the incident
energy or Pulse Height Amplitude (PHA; more on this below), 2) the time, 3) the position
on the CCD, and 4) the distribution of pixels over which a charge cloud spreads, which
is called a “pattern”. An event can be registered in one pixel or several, and the
probability of an X-ray generating a certain pattern is dependent on its energy.
(It is similar “event grade” for ASCA and Chandra data.)
The patterns themselves are named for the number of pixels that are involved in a detection,
so singles have one pixel above a certain threshold value, doubles have two pixels
above the threshold, triples have three, and quadruples have four. Examples of
these are shown in Figure 4.1, where the small numbers next to the
diagrams refer to the pattern number. It can be seen that a single pattern event has
pattern = 0, double pattern events have pattern numbers that range from 1 to 4,
triples have pattern numbers that range from 5 to 8, and quadruples have pattern numbers
that range from 9 to 12. These are the only patterns that are recognized as valid events,
and the data need to be filtered by pattern (among other things). Exactly which patterns
are kept or discarded is determined by the instrument, its mode,
and the science that the user wants to investigate. However, as a general rule, the
highest quality event detections are made with lowest pattern values.
Some older publications that use X-ray data may refer to the PHA; it was common in older missions to use this to make spectra. However, this is no longer recommended. Instead, a related quantity - the Pulse Invariant (PI) - is used. The PI is the gain-corrected PHA, and the gain varies across the detector. Information about the gain mapping is contained in spectrum response files, in addition to other important information. Instructions on how to make these are included in §7.11, §8.8, §9.6, and §10.5.
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XMM-Newton has very high throughput, and an orbit that is highly eccentric, with
much of its operational time spent outside Earth's protective magnetic field. The observatory
is therefore susceptible to soft proton flares during observations. As suggested by the
name, these protons have low energies (
300 keV). They show variability that has been
linked to the solar wind, and can be found in the outer magnetosphere and interplanetary
space. They can interact with the telescope and detectors, sometimes getting scattered
into the focal plane of the X-ray detectors. The flares are unpredictable, sudden, and
can be quite large - hundreds of counts/second across the bandpass - and can last for
anywhere between seconds to hours. Progress has been made on understanding them and accounting
for their effects (e.g. Fioretti et al. 2024, A&A, 691, A229 and references therein) but
at present, the recommended way to deal with them is to remove the parts of observations
that show contamination. However, it should be noted that the amount of flaring that
needs to be removed depends in part on the object that is observed; a faint, extended
source will be more affected than a very bright point source.
As a result of the above, a general procedure is followed for reprocessing XMM-Newton X-ray data (i.e., data from either the EPIC or RGS instruments):
| 1) | Apply the latest calibrations by rerunning the pipeline. |
| 2) | Apply standard filters, which incude instrument- and mode-dependent pattern filters. |
| 3) | Make a light curve to look for soft proton contamination and remove it if needed. |
After these steps have been taken, the data are ready for more advanced procedures, such as extracting spectra, performing source detection, or making radial profiles.