scholarly journals The all-sky PLATO input catalogue

Author(s):  
M. Montalto ◽  
G. Piotto ◽  
P. M. Marrese ◽  
V. Nascimbeni ◽  
L. Prisinzeano ◽  
...  
Keyword(s):  
Author(s):  
A. Domingo ◽  
F. Figueras ◽  
J. M. Mas-Hesse ◽  
J. Torra ◽  
C. Jordi ◽  
...  
Keyword(s):  

Author(s):  
R. J. Smith ◽  
B. J. Boyle ◽  
T. Shanks ◽  
S. M. Croom ◽  
L. Miller ◽  
...  

1986 ◽  
pp. 713-717 ◽  
Author(s):  
J. L. Russell ◽  
D. Egret
Keyword(s):  

1992 ◽  
Vol 135 ◽  
pp. 339-342
Author(s):  
E. Oblak ◽  
P. Lampens

Complementary accurate photometric data with astrophysical content are needed for a well-chosen sample of binaries and multiple systems for which good-quality astrometric data already exist or will soon be available. The observational programme, started in the context of the European Network of Laboratories “Visual Double Stars” (Oblak et al. 1992), is therefore based on samples extracted from the “Catalogue des Composantes d’Etoiles Doubles et Multiples” (CCDM, Dommanget, 1989) and reported in Annex 1 (Double and Multiple Systems) of the HIPPARCOS Input Catalogue (C. Turon et al. 1992).Systems with components in the HIPPARCOS Input Catalogue are selected for which the present photometric information is poor, i.e. not all components have been observed or they have colour indices and/or magnitudes of insufficient quality for extraction of astrophysical quantities (Figure 1).Observations, performed in various observatories located in both hemispheres, must yield both classical and CCD photometric campaigns.


2020 ◽  
Vol 635 ◽  
pp. A101 ◽  
Author(s):  
E. Tempel ◽  
P. Norberg ◽  
T. Tuvikene ◽  
T. Bensby ◽  
C. Chiappini ◽  
...  

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.


2017 ◽  
Vol 475 (2) ◽  
pp. 1960-1986 ◽  
Author(s):  
Pascal Fouqué ◽  
Claire Moutou ◽  
Lison Malo ◽  
Eder Martioli ◽  
Olivia Lim ◽  
...  

1995 ◽  
Vol 155 ◽  
pp. 423-424
Author(s):  
M.O. Mennessier ◽  
X. Luri ◽  
F. Figueras ◽  
J. Torra

AbstractIn order to exploit the imminent HIPPARCOS data we have developed a new Maximum-Likelihood method to determine luminosity calibrations and kinematical properties with as bias-free as possible estimates. In most cases the samples are inhomogeneous, containing stars of several types. The method includes a way to separate the different groups. We applied the method to Mira variables contained in the HIPPARCOS Input Catalogue.


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