Issue |
A&A
Volume 516, June-July 2010
|
|
---|---|---|
Article Number | A75 | |
Number of page(s) | 3 | |
Section | Astronomical instrumentation | |
DOI | https://doi.org/10.1051/0004-6361/201014209 | |
Published online | 14 July 2010 |
A new determination of the INTEGRAL/IBIS point source location accuracy
(Research Note)
S. Scaringi1,2 - A. J. Bird1 - A. B. Hill3 - D. J. Clark1 - V. A. McBride1 - A. J. Dean1 - A. Bazzano4 - L. Natalucci4 - J. B. Stephen5
1 - Department of Astrophysics, IMAPP, Radboud University Nijmegen, PO Box 9010, 6500 GL Nijmegen, The Netherlands
2 -
School of Physics and Astronomy, University of Southampton, Southampton, SO17 1BJ, UK
3 -
Laboratoire d'Astrophysique de Grenoble, UMR 5571 CNRS, BP 53, 38041 Grenoble, France
4 -
INAF-IASF Roma, via Fosso del Cavaliere 100, 00133, Roma, Italy
5 -
INAF-IASF Bologna, via P. Gobetti 101, 40129, Bologna, Italy
Received 5 February 2010 / Accepted 23 February 2010
Abstract
Aims. We determine the point source location accuracy (PSLA)
of the INTEGRAL/IBIS telescope based on analysis of archival in-flight
data.
Methods. Over 40 000 individual pointings (science windows)
of INTEGRAL/IBIS data were analysed using the latest Off-line Science
Analysis software (version 7.0). Reconstructed source positions were
then compared with the most accurate positions available, determined
using focusing X-ray telescopes. Since the PSLA is a strong function of
source detection significance, histograms of the offsets from true
position were compiled to determine the 90% confidence limits for both
sources in the fully coded field of view (FCFOV) and partially coded
field of view (PCFOV).
Results. The PSLA is found to have improved significantly since
measurements were first made for early mission data and software for
both FCFOV and PCFOV.
Conclusions. This result has implications for observers
executing follow-up programs on IBIS sources since the sky area to be
searched is reduced by more than 50% in some cases.
Key words: instrumentation: miscellaneous - methods: data analysis
1 Introduction
The INTEGRAL satellite (Winkler et al. 2003), launched in October 2002, is an ESA space mission designed specifically to study the gamma-ray sky. The IBIS (Imager on Board of the INTEGRAL Satellite) telescope (Ubertini et al. 2003) is the main hard X-ray/soft gamma-ray coded aperture imaging instrument (Goldwurm et al. 2003), and is responsible for surveying and cataloguing the sky above 17 keV. We discuss the point source location accuracy (PSLA) of the ISGRI low energy detector (15-1000 keV) of IBIS (Lebrun et al. 2003).
Because of the continuing necessity to follow-up the increasing unidentified INTEGRAL source population in other wavebands (particularly in the optical and infrared), the preciseness of the IBIS/ISGRI PSLA measurement is of great interest. In particular, it is hoped that with the release of new and updated Off-line Science Analysis (OSA 7.0) software the PSLA may have improved substantially compared to the already published estimates based on early mission data and software releases (Gros et al. 2003, constructed the PSLA based upon OSA 3.0). Any improvement in the PSLA is important in reducing random or multiple source associations in other wavebands.
2 Refining the PSLA error radius
To empirically determine the PSLA of the IBIS/ISGRI telescope, we
extract the positions of objects from the IBIS/ISGRI Science Windows (ScWs) and compare these with their most accurately known positions. These can then be used to estimate the
error offset as a function of detected significance, allowing us to define the
PSLA. For the IBIS/ISGRI telescope, and coded mask telescopes in
general, the PSLA depends strongly on detection significance, but also
on the position of the source within the field of view. We therefore
require a set of sources spanning a wide range of significances and
off-axis positions for our analysis to be useful to all detected
IBIS/ISGRI sources.
We complied a list of sources with accurately known positions. We
decided to be conservative and only select sources whose nominal
positions are accurately known rather than to bias our sample by also
including sources with large nominal error radii, as for many newly
discovered INTEGRAL sources. To do this we adopted the latest INTEGRAL General Reference Catalog (Version 30, Ebisawa et al. 2003)
and selected on the basis of the error radius, selecting those sources
with an error less than 30''; at this level, the error on the true
position should contribute negligibly to the measured offsets in the
IBIS position. Thus the total number of objects used in our sample is
332, spanning a wide range of detection significances and off-axis
angles. This number might seem small compared to the 721 sources
detected in Bird et al. (2010), but we note that many objects in that catalog are newly discovered INTEGRAL sources for which X-ray follow-up is not yet available, and that therefore have relatively large nominal error radii.
![]() |
Figure 1:
Measured offset from true position (datapoints) as a function of detection significance for IBIS/ISGRI detected sources in the ( upper) fully coded field of view and ( lower) partially coded field of view. We also plot is the estimated |
Open with DEXTER |
After performing an imaging analysis with the OSA 7.0 pipeline, we
inspected all available ScW images and extracted the fitted positions
which resulted from the image deconvolution; these are the columns
RA_FIN and DEC_FIN from the isgri_sky_res file for all pointings where
any of the 332 objects was present. The dataset was divided into fully
coded field of view (FCFOV) and partially coded field of view (PCFOV).
The IBIS coded aperture mask has a field of view of 30,
the FCFOV being the central 9
9
region; everything outside this region constitutes the PCFOV. We then
determine the offset as a function of detection significance in both
FCFOV and PCFOV, for all objects in question: this allows us to
estimate the
PSL confidence by adaptively binning the measured offsets in
significance to ensure the same statistics for all bins (100
measurements per bin). Around 25 000 and 75 000 individual
offset measurements are used in the FCFOV and PCFOV analyses
respectively. The results are shown in Fig. 1 where the solid line representing the 90% confidence limit, the dashed line indicates the result from Gros et al. (2003) and the dashed-dotted line shows the theoretical PSLA defined by Goldwurm et al. (2001). We note that the theoretical PSLA of Goldwurm et al. (2001) applies only to on-axis sources, whilst the estimated
PSLA of Gros et al. (2003) was derived for sources within 14 degrees of the telescope axis.
![]() |
Figure 2:
Fits to the OSA 7.0 |
Open with DEXTER |
To fit the estimated
PSLA we used the form
y=axc+b (the same as used by Gros et al. 2003),
and applied identical weights to all bins as they contain the same
number of observations. For completeness we also estimated the
,
and
PSLA. The fit parameters for all estimated PSLA are shown in Table 1, whilst we display only the
PSLA in Fig. 2.
Table 1: Estimated PSLA fit parameters for the FCFOV and the PCFOV.
3 Comparison to previous results
These empirical fits can now be used to estimate the improvement in radius and area between the previously published fit of Gros et al. (2003) and our own estimates. To this end, Fig. 2 once again shows our fits for the 90% PSLA for the FCFOV and PCFOV and the Gros et al. (2003) result. To demonstrate the decrease in error radius between the Gros et al. (2003)
result and our new updated PSLA we simply subtract the two fits to
highlight the error radius improvement. This is shown in Fig. 3, where it can be seen that the greatest reduction in radius occurs at approximately
.
The potential for reducing false matches when performing follow-up
observations of these objects in other wavebands is however most
clearly shown in Fig. 4, where the percentage area improvement of the 90% error circle is shown. This is defined to be the area subtended by our
PSLA as a function of significance divided by the area subtended by the
PSLA estimate of Gros et al. (2003). Here the greatest reduction occurs in the range
,
where the area to inspect reduces by
from the previous Gros et al. (2003) result. This would be a typical significance for a transient detection in a single ScW of a source of
250 mCrab.
We therefore predict that these transient detections will benefit the
most from this improved 90% PSLA, where the probability of false
matches for follow-up observations will be drastically reduced.
INTEGRAL/IBIS has also detected and classified a large number of persistent sources such as AGN, for which the peak significance is obtained after mosaicking many individual ScWs. In this case it is not always easy to establish how many pointings were used where the source candidate was either in the FCFOV or the PCFOV, and so it is not trivial to establish which 90% PSLA to use. In these cases we suggest a conservative approach and use the PCFOV PSLA estimate.
![]() |
Figure 3:
|
Open with DEXTER |
![]() |
Figure 4:
Percentage sky search area improvement between the old Gros et al. (2003) and the new (this work) |
Open with DEXTER |
We also performed the same analysis for data reduced using an older
version of the analysis software, OSA 5.0, and find, after fitting the
PSLA, that an improvement in the estimated error circle size had already been achieved with OSA 5.0 relative to the Gros et al. (2003)
result obtained using OSA 3.0; however with the latest version of the
software release, OSA 7.0,the improvement is even more strongly
evident. This result also indicates that a re-analysis of archival data
with the latest software will often yield far more accurate source
positions, and may allow observers to distinguish between multiple
candidate counterparts far far more efficiently than previously.
4 Conclusions
This work has shown that the IBIS/ISGRI PSLA (i.e., the size of the
90% error circle) has dramatically improved since the study of Gros et al. (2003) and this can be attributed to improvements in the OSA
software. The main implications of this result will be for follow-up
observations, particularly in the optical and infrared wavebands, of
the INTEGRAL unidentified source population (
of objects in the latest IBIS/ISGRI catalogue release by Bird et al. 2010). This improved error radius will greatly enhance the identification of INTEGRAL counterparts.
These analysis results are based on observations with INTEGRAL, an ESA project funded by member states (especially the PI countries: Denmark, France, Germany, Italy, Switzerland, Spain), Czech Republic and Poland, and with the participation of Russia and the USA.
A.J.B. and D.J.C. acknowledge support from STFC award ST/G004196/1. A.B.H. acknowledges support from the European Community via contract ERC-StG-200911. A.B., L.N. and J.S. acknowledge ASI/INAF grant I/008/07/0.
This research has made use of NASAs Astrophysics Data System Bibliographic Services, of the SIMBAD data base, operated at the CDS, Strasbourg, France, as well as of the NASA/IPAC Extragalactic Data base, which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration.
References
- Bird, A. J., Bazzano, A., Bassani, L., et al. 2010, ApJS, 186, 1 [NASA ADS] [CrossRef] [Google Scholar]
- Ebisawa, K., Bourban, G., Bodaghee, A., Mowlavi, N., & Courvoisier, T. 2003, A&A, 411, L59 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
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- Goldwurm, A., Goldoni, P., Gros, A., et al. 2001, in Exploring the Gamma-Ray Universe, ed. A. Gimenez, V. Reglero, & C. Winkler, ESA SP, 459, 497 [Google Scholar]
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Footnotes
- ... Windows
- An IBIS/ISGRI Science Window refers to one single INTEGRAL pointing of about 2000 s.
- ...Ebisawa et al. 2003
- http://isdc.unige.ch/Data/cat/latest/
All Tables
Table 1: Estimated PSLA fit parameters for the FCFOV and the PCFOV.
All Figures
![]() |
Figure 1:
Measured offset from true position (datapoints) as a function of detection significance for IBIS/ISGRI detected sources in the ( upper) fully coded field of view and ( lower) partially coded field of view. We also plot is the estimated |
Open with DEXTER | |
In the text |
![]() |
Figure 2:
Fits to the OSA 7.0 |
Open with DEXTER | |
In the text |
![]() |
Figure 3:
|
Open with DEXTER | |
In the text |
![]() |
Figure 4:
Percentage sky search area improvement between the old Gros et al. (2003) and the new (this work) |
Open with DEXTER | |
In the text |
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