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  Probabilistic fibre-to-target assignment algorithm for multi-object spectroscopic surveys

Tempel, E., Norberg, P., Tuvikene, T., Bensby, T., Chiappini, C., Christlieb, N., et al. (2020). Probabilistic fibre-to-target assignment algorithm for multi-object spectroscopic surveys. Astronomy and Astrophysics, 635: A101. doi:10.1051/0004-6361/201937228.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0006-7ACE-A Version Permalink: http://hdl.handle.net/21.11116/0000-0006-7ACF-9
Genre: Journal Article

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 Creators:
Tempel, E., Author
Norberg, P., Author
Tuvikene, T., Author
Bensby, T., Author
Chiappini, C., Author
Christlieb, N., Author
Cioni, M.-R. L., Author
Comparat, J.1, Author              
Davies, L. J. M., Author
Guiglion, G., Author
Koch, A., Author
Kordopatis, G., Author
Krumpe, M., Author
Loveday, J., Author
Merloni, A.1, Author              
Micheva, G., Author
Minchev, I., Author
Roukema, B. F., Author
Sorce, J. G., Author
Starkenburg, E., Author
Storm, J., AuthorSwann, E., AuthorThi, W. F.2, Author              Traven, G., Authorde Jong, R. S., Author more..
Affiliations:
1High Energy Astrophysics, MPI for Extraterrestrial Physics, Max Planck Society, ou_159890              
2Center for Astrochemical Studies at MPE, MPI for Extraterrestrial Physics, Max Planck Society, ou_1950287              

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 Abstract: Context. Several new multi-object spectrographs are currently planned or under construction that are capable of observing thousands of Galactic and extragalactic objects simultaneously. Aims. In this paper we present a probabilistic fibre-to-target assignment algorithm that takes spectrograph targeting constraints into account and is capable of dealing with multiple concurrent surveys. We present this algorithm using the 4-m Multi-Object Spectroscopic Telescope (4MOST) as an example. Methods. The key idea of the proposed algorithm is to assign probabilities to fibre-target pairs. The assignment of probabilities takes the fibre positioner’s capabilities and constraints into account. Additionally, these probabilities include requirements from surveys and take the required exposure time, number density variation, and angular clustering of targets across each survey into account. The main advantage of a probabilistic approach is that it allows for accurate and easy computation of the target selection function for the different surveys, which involves determining the probability of observing a target, given an input catalogue. Results. The probabilistic fibre-to-target assignment allows us to achieve maximally uniform completeness within a single field of view. The proposed algorithm maximises the fraction of successfully observed targets whilst minimising the selection bias as a function of exposure time. In the case of several concurrent surveys, the algorithm maximally satisfies the scientific requirements of each survey and no specific survey is penalised or prioritised. Conclusions. The algorithm presented is a proposed solution for the 4MOST project that allows for an unbiased targeting of many simultaneous surveys. With some modifications, the algorithm may also be applied to other multi-object spectroscopic surveys.

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Language(s): eng - English
 Dates: 2020-03-16
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1051/0004-6361/201937228
Other: LOCALID: 3235786
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Title: Astronomy and Astrophysics
  Other : Astron. Astrophys.
Source Genre: Journal
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Publ. Info: France : EDP Sciences S A
Pages: - Volume / Issue: 635 Sequence Number: A101 Start / End Page: - Identifier: ISSN: 1432-0746
CoNE: https://pure.mpg.de/cone/journals/resource/954922828219_1