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XMM­Newton CCF Release Note
XMM­CCF­REL­254
EPIC MOS screening thresholds
C. M. H. Chen, R. D. Saxton
15 July 2009
1 CCF components
Name of CCF VALDATE EVALDATE Blocks changed XSCS flag
EMOS1 SCREENTHRESH 0001.CCF 2000­01­01 SCREEN THRESH NO
EMOS2 SCREENTHRESH 0001.CCF 2000­01­01 SCREEN THRESH NO
2 Changes
These files give the screening thresholds which should be used when determining the
low­energy noise properties fo the MOS CCDs.
For each CCD, the file gives the soft­band minimum and maximum, the hard­band min­
imum and maximum and the rate­band minimum and maximum energies in keV. In
addition it gives the threshold for classifying each MOS CCD as noisy. These thresholds
are expressed as selectlib­style string expressions containing two variables---the hardness
ratio H, i.e., the ratio of hard­band to soft­band event rates, and the event rate R in the
rate band. Both H and R are to be measured within the CORNER region as specified in
a block of the same name in the CCFs EMOSn LINCOORD nnnn.CCF only.
According to a presentation by Kip Kuntz during the XMM Background Working Group
meeting in 3/2009, the characteristics of the low­energy noise is changing with time. It is
thus expected that the thresholds will have to be revised from time to time.
3 Scientific Impact of this Update
This CCF is read by the new task emtaglenoise beginning in SAS 9 as part of the procedure
to identify CCDs su#ering from low­energy noise in an observation, based on an algorithm
described in Kuntz and Snowden (2008) A&A 478, 575--596. As such, it provides a new
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functionality in SAS. Placing all numeric quantities and event selection criteria in a CCF
allows these thresholds to be modified in the future as the noise characteristics change.
4 Estimated Scientific Quality
Kuntz and Snowden (2008) have showed how, using these thresholds, one can e#ectively
identify if CCDs 4 and 5 of MOS 1 and CCDs 2 and 5 of MOS 2 su#er from low­energy noise
in all observations publicly available as of 1st April, 2006 (which numbered over 2000).
The current specification of the screening thresholds is taken verbatim from Table 1 of
Kuntz and Snowden (2008).
Figure 9 of the same paper displays graphically how they were chosen. For MOS 1 CCDs 4
and 5 and MOS 2 CCD 2, the thresholds unambiguously delineate noisy observations from
normal ones on the (H,R)­plane. For MOS 2 CCD 5, the normal and noisy observations
blend together, and the noise strength varies smoothly between theh normal and noisy
states. Kuntz and Snowden's chosen division point is `where the amplitude of the low
energy excess is comparable to the uncertainty in the mean spectra.' They have detected
no noisy observation in the remaining CCDs.
5 Test procedures and results
The SAS task emtaglenoise reads this new CCF via CAL calls:
calServer.state()­>ccd()­>set(_ccdnr);
ScreenThresholdServer *st = 0; st = calServer.getAtom(st);
_minEnergy[i] = (int)( 1000 * st­>ratebandmin() );
_maxEnergy[i] = (int)( 1000 * st­>ratebandmax() );
_minEnergy[i] = (int)( 1000 * st­>softbandmin() );
_maxEnergy[i] = (int)( 1000 * st­>softbandmax() );
_minEnergy[i] = (int)( 1000 * st­>hardbandmin() );
_maxEnergy[i] = (int)( 1000 * st­>hardbandmax() );
const string & thresh = st­>threshold();
Using the test harness of emtaglenoise, we have shown that the SAS task successfully
reads in and makes use of data in this CCF and subsequently produces the expected
low­energy noise classification on Fedora and Solaris, in high­memory mode.
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