Optimal target assignment for massive spectroscopic surveys

  title={Optimal target assignment for massive spectroscopic surveys},
  author={Matin Macktoobian and Denis Gillet and Jean-Paul Kneib},
  journal={Astron. Comput.},

Figures and Tables from this paper

Experimental evaluation of complete safe coordination of astrobots for Sloan Digital Sky Survey V

This paper evaluates the safety and the performance of the astrobots coordination in SDSS-V by conducting various experimental and simulated tests and illustrates that the strategy provides a complete coordination condition which depends on the operational characteristics of astrobot, their configurations, and their targets.

Data-Driven Convergence Prediction of Astrobots Swarms

This article proposes a weighted $k$ -NN-based algorithm that requires the initial status of a swarm and its observational targets to predict its convergence, and proposes to use a machine learning scheme to predict the desired convergence rate instead of involving in the infeasible process of finding its exact value.

Astrobotics: Swarm Robotics for Astrophysical Studies

A modern requirement of dark matter studies, i.e., the generation of the map of the observable universe, using astrobots is described, that is, a recently-established branch of robotics to be of service to astrophysics and observational astronomy.

Learning convergence prediction of astrobots in multi-object spectrographs

This work uses support vector machines to train a model that can predict the convergence of a swarm based on the data of previous coordination of that swarm, and revise the algorithm to solve a more generalized convergence prediction problem according to which the parities of astrobots may differ.

Precision control of miniature SCARA robots for multi-object spectrographs

Abstract Advances in astronomy led to the demand for measuring the spectra of multiple night sky objects simultaneously. Some of these Multi-Object Spectrographs use robotic systems that position



Heterogeneous Target Assignment to Robotic Fiber Positioner Systems

An efficient multilinear algorithm to assign robotic fiber positioners to heterogeneous targets and takes the priority of observations compared to other operations into account during an assignment processes is proposed.

The Navigation of Robotic Fiber Positioners in SDSS-V Project: Design and Implementation

This paper illustrates the solution to the navigation problem of robotic fiber positioners corresponding to the SDSS-V project and specifies the hardware and the software components of the solution in a systematic perspective.

Supervisory Coordination of Robotic Fiber Positioners in Multi-Object Spectrographs

Target-based fiber assignment for large survey spectrographs

This work presents a fast algorithm for target assignment that scales as O(log(n), which enables to assign large number of targets to their positioners quickly and with a very high assignment efficiency.

Fibre assignment in next-generation wide-field spectrographs

The results strongly support the use of focal plane rotation in future spectrographs, as far as the efficiency of the fibre-positioning process is concerned.

An Efficient Targeting Strategy for Multiobject Spectrograph Surveys: the Sloan Digital Sky Survey “Tiling” Algorithm

Large surveys using multiobject spectrographs require automated methods for deciding how to efficiently point observations and how to assign targets to each pointing. The Sloan Digital Sky Survey

Extragalactic science, cosmology, and Galactic archaeology with the Subaru Prime Focus Spectrograph

The Subaru Prime Focus Spectrograph (PFS) is a massively-multiplexed fiber-fed optical and near-infrared 3-arm spectrograph (N_fiber=2400, 380<lambda<1260nm, 1.3 degree diameter FoV), offering unique

SDSS-V: Pioneering Panoptic Spectroscopy

SDSS-V will be an all-sky, multi-epoch spectroscopic survey of over six million objects. It is designed to decode the history of the Milky Way, trace the emergence of the chemical elements, reveal

MOONS: the Multi-Object Optical and Near-infrared Spectrograph for the VLT

MOONS is a new Multi-Object Optical and Near-infrared Spectrograph selected by ESO as a third generation instrument for the Very Large Telescope (VLT). The grasp of the large collecting area offered

The Dark Energy Spectroscopic Instrument (DESI)

The Dark Energy Spectroscopic Instrument (DESI) is a Stage IV ground-based dark energy experiment that will study baryon acoustic oscillations (BAO) and the growth of structure through redshift-space