Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Default user image.

Sofia Feltzing

Professor

Default user image.

An optimized tiling pattern for multiobject spectroscopic surveys : Application to the 4MOST survey

Författare

  • E. Tempel
  • T. Tuvikene
  • M. M. Muru
  • R. S. Stoica
  • T. Bensby
  • C. Chiappini
  • N. Christlieb
  • M. R.L. Cioni
  • J. Comparat
  • S. Feltzing
  • I. Hook
  • A. Koch
  • G. Kordopatis
  • M. Krumpe
  • J. Loveday
  • I. Minchev
  • P. Norberg
  • B. F. Roukema
  • J. G. Sorce
  • J. Storm
  • E. Swann
  • E. N. Taylor
  • G. Traven
  • C. J. Walcher
  • R. S. De Jong

Summary, in English

Large multiobject spectroscopic surveys require automated algorithms to optimize their observing strategy. One of the most ambitious upcoming spectroscopic surveys is the 4MOST survey. The 4MOST survey facility is a fibre-fed spectroscopic instrument on the VISTA telescope with a large enough field of view to survey a large fraction of the southern sky within a few years. Several Galactic and extragalactic surveys will be carried out simultaneously, so the combined target density will strongly vary. In this paper, we describe a new tiling algorithm that can naturally deal with the large target density variations on the sky and which automatically handles the different exposure times of targets. The tiling pattern is modelled as a marked point process, which is characterized by a probability density that integrates the requirements imposed by the 4MOST survey. The optimal tilling pattern with respect to the defined model is estimated by the tiles configuration that maximizes the proposed probability density. In order to achieve this maximization a simulated annealing algorithm is implemented. The algorithm automatically finds an optimal tiling pattern and assigns a tentative sky brightness condition and exposure time for each tile, while minimizing the total execution time that is needed to observe the list of targets in the combined input catalogue of all surveys. Hence, the algorithm maximizes the long-term observing efficiency and provides an optimal tiling solution for the survey. While designed for the 4MOST survey, the algorithm is flexible and can with simple modifications be applied to any other multiobject spectroscopic survey.

Avdelning/ar

  • Astronomi - Har omorganiserats
  • eSSENCE: The e-Science Collaboration

Publiceringsår

2020

Språk

Engelska

Sidor

4626-4643

Publikation/Tidskrift/Serie

Monthly Notices of the Royal Astronomical Society

Volym

497

Issue

4

Dokumenttyp

Artikel i tidskrift

Förlag

Oxford University Press

Ämne

  • Astronomy, Astrophysics and Cosmology

Nyckelord

  • methods: miscellaneous
  • surveys
  • techniques: miscellaneous

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 0035-8711