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Astronomical Data Analysis Software and Systems VII ASP Conference Series, Vol. 145, 1998 R. Albrecht, R. N. Hook and H. A. Bushouse, eds.

Data-flow for the ESO Imaging Survey (EIS)
R. N. Hook1 , L. N. da Costa, W. Freudling1 and A. Wicenec European Southern Observatory, Karl Schwarzschild Str-2, D-85748, Garching, Germany, e-mail: rhook@eso.org, ldacosta@eso.org, wfreud li@eso.org, awicenec@eso.org E. Bertin Institute d'Astrophysique de Paris, 98bis Boulevard Arago, 75014 Paris, France, e-mail: bertin@iap.fr E. Deul Sterrewacht Leiden, P.O. Box 9513, 2300 RA Leiden, The Netherlands, e-mail: Erik.Deul@strw.LeidenUniv.nl M. Nonino Osservatorio Astronomico di Trieste, Via G.B. Tiepolo 11, I-34131, Trieste, Italy, e-mail: nonino@ts.astro.it Abstract. The ESO Imaging Survey (EIS) uses the ESO New Technology Telescope (NTT) and the EMMI camera to image several square degrees of sky to moderate depth through B,V and I filters. In later parts of the survey smaller areas will be imaged more deeply in a wider selection of spectral bands. The primary aim of the pro ject is to provide a statistically useful selection of interesting faint ob jects as targets for the ESO Very Large Telescope (VLT) which will see first light in 1998. This paper gives an overview of the data flow for this pro ject, some comments on the methodology employed and examples of the initial data. Some techniques for attacking the generic problem of mosaicing inhomogeneous overlapping images and extracting catalogues from the resulting coadded frames are described. More information can be found at the EIS Web page: http://www.eso.org/eis/.

1.

Introduction

During the second half of 1997 and much of 1998 ESO is conducting a deep, multicolour imaging survey using the EMMI camera on the NTT. The ESO Imaging Survey (EIS, Renzini & da Costa 1997), will generate suitable statistical samples for a variety of astronomical applications, ranging from candidate ob jects at the outer edge of the Solar System all the way to galaxies and quasars
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Space Telescope -- European Coordinating Facility

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© Copyright 1998 Astronomical Society of the Pacific. All rights reserved.


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at extremely high redshift. EIS data should provide a suitable database from which targets can be drawn for observations with the VLT, in its early phase of scientific operation (from the third quarter of 1998 to approximately the end of 2000). EIS has been conceived as a service to the ESO community and all the data will become public immediately after its completion. In the initial (EIS Wide) phase of the pro ject many exposures are being taken using a stepping pattern on the sky such that each step is about half of the frame size in both X and Y and on average each point is observed twice. This strategy allows accurate astrometric association between frames and gives an overlap pattern which shows clearly on Figure 3. Figure 1 gives an overview of the data flow of the pro ject starting with the preparation of "observation blocks" which are the basic unit of telescope execution and working through to the preparation and archiving of catalogues from the final coadded images. 2. Overview of Software Development

The data volume of EIS is considerable and requires a fully automated pipeline for both observation planning and execution and subsequent data handling. There were insufficient resources within ESO to develop the complex software system required for EIS starting from scratch. Instead funds were used to employ visitors who had extensive experience from other, similar, pro jects to adapt software and integrate it into a complete EIS pipeline. This was run on the ESO "Science Archive Research Environment" (a multi-processor Ultra Sparc server) and is acting as a test case for this system. There were four areas of software re-use (excluding subsequent science software): · Standard IRAF tools were used for the initial calibration of each input image which were taken from the ESO archive. · The DENIS (DEep Near IR Survey of the Southern Sky, Epchtein, 1994) data pipeline, was extensively modified for EIS and used to perform photometric and astrometric calibration. · The SExtractor ob ject detection and classification code (Bertin & Arnouts, 1996) was modified for EIS and integrated into the pipeline. It was used both to find ob jects during the calibration steps and also to prepare final science catalogues. · The Drizzle image coaddition software (Hook & Fruchter 1997; Fruchter & Hook 1997), originally developed for HST, was modified to efficiently handle the EIS geometry and create coadded final output images from the many, overlapping, input frames. A ma jor aim of this software is to handle the generic problem of mosaicing overlapping images with widely varying characteristics and the extraction of information from the resulting inhomogeneous coadded frames.


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Hook et al.
EIS Survey Observational Blocks NTT DENIS SWISS

preparations

filter conversion relations

DENIS SWISS
ESO NTT

observations

extinction monitoring

Image reduction
IRAF

nightly extinction k for EIS filters

archiving
source catalogues co-added superimage tiles magnitude zero points

data processing
EIS pipeline
astrometry LDAC object finding Sextractor Photometry global solution

astrometric solutions conversion relations from EIS mags to JC final cross-referenced multi-colour catalogue

co-addition Drizzling

Target lists:

clusters galaxies

quasars stars

cluster finding galaxy redshifts

quasar selection proper motions

archiving + data distribution

science software

Figure 1. 3. Example Data

An overview of the EIS dataflow

At the time of writing approximately half of the EIS survey has been completed. Conditions have not been uniform and hence the resulting coadded images vary considerably in seeing, transparency and depth. This variation poses many problem to automatic data analysis, particularly on the coadded images which may have discontinuities in PSF and noise levels. This problem has been addressed by creating not just a final data image but also an image with the weight of each output pixel and another in which the "context" is encoded. The context is essentially a list of input images which have contributed to a given output pixel. This allows the PSF and other characteristics of sections of the coadded image to be reconstructed at each pixel when needed. Figure 2 gives an example of a subset of an output coadded EIS image. It covers about 18 arcminutes and is the result of combining about 10 EMMI images. Figure 3 shows how the weights vary across this image. Image defects such as dead columns and saturated regions show clearly as does the variation of weight among the frames. 4. Future Plans

The primary aim of EIS is to provide data products, both images and derived catalogues, which will enhance the scientific returns from the forthcoming 8m telescopes, in particular the ESO VLT. An important secondary aim is to act as a test-bed for the VLT data flow concept, in particularly the observation preparation stage and the exploitation of the data within the Science Archive Research Environment. The software developed for EIS will act as the basis for


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Figure 2.

An example of part of a coadded image from EIS Wide.

Figure 3.

The weighting image associated with Figure 2.

a similar imaging survey to be conducted using the ESO 2.2m telescope with a large mosaiced CCD camera and may later also lead into a dedicated imaging survey telescope on Paranal with the ESO VLT. References Bertin, E. & Arnouts, S., 1996, Astronomy and Astrophysics Supplement, 117, 393 Epchtein, N., 1994, Astrophysics and Space Science, 217, 3. Fruchter, A. S. & Hook, R. N., 1997, in Applications of Digital Image Processing XX, ed. A. Tescher, Proc. S.P.I.E. vol. 3164, 120 Hook, R. N. & Fruchter, A. S., 1997, in ASP Conf. Ser., Vol. 125, Astronomical Data Analysis Software and Systems VI, ed. Gareth Hunt & H. E. Payne (San Francisco: ASP), 147 Renzini, A. & da Costa, L. N., 1997, The Messenger, 87, 23