2017A&A...605A..26P


Query : 2017A&A...605A..26P

2017A&A...605A..26P - Astronomy and Astrophysics, volume 605A26-26 (2017/9-1)

BRITE Constellation: data processing and photometry.

POPOWICZ A., PIGULSKI A., BERNACKI K., KUSCHNIG R., PABLO H., RAMIARAMANANTSOA T., ZOCLONSKA E., BAADE D., HANDLER G., MOFFAT A.F.J., WADE G.A., NEINER C., RUCINSKI S.M., WEISS W.W., KOUDELKA O., ORLEANSKI P., SCHWARZENBERG-CZERNY A. and ZWINTZ K.

Abstract (from CDS):

Context. The BRIght Target Explorer (BRITE) mission is a pioneering space project aimed at the long-term photometric monitoring of the brightest stars in the sky by means of a constellation of nanosatellites. Its main advantage is high photometric accuracy and time coverage which are inaccessible from the ground. Its main drawback is the lack of cooling of the CCD detectors and the absence of good shielding that would protect them from energetic particles.
Aims. The main aim of this paper is the presentation of procedures used to obtain high-precision photometry from a series of images acquired by the BRITE satellites in two modes of observing, stare and chopping. The other aim is a comparison of the photometry obtained with two different pipelines and a comparison of the real scatter with expectations.
Methods. We developed two pipelines corresponding to the two modes of observing. They are based on aperture photometry with a constant aperture, circular for stare mode of observing and thresholded for chopping mode. Impulsive noise is a serious problem for observations made in the stare mode of observing and therefore in the pipeline developed for observations made in this mode, hot pixels are replaced using the information from shifted images in a series obtained during a single orbit of a satellite. In the other pipeline, the hot pixel replacement is not required because the photometry is made in difference images.
Results. The assessment of the performance of both pipelines is presented. It is based on two comparisons, which use data from six runs of the UniBRITE satellite: (i) comparison of photometry obtained by both pipelines on the same data, which were partly affected by charge transfer inefficiency (CTI), (ii) comparison of real scatter with theoretical expectations. It is shown that for CTI-affected observations, the chopping pipeline provides much better photometry than the other pipeline. For other observations, the results are comparable only for data obtained shortly after switching to chopping mode. Starting from about 2.5 years in orbit, the chopping mode of observing provides significantly better photometry for UniBRITE data than the stare mode.
Conclusions. This paper shows that high-precision space photometry with low-cost nanosatellites is achievable. The proposed methods, used to obtain photometry from images affected by high impulsive noise, can be applied to data from other space missions or even to data acquired from ground-based observations.

Abstract Copyright: © ESO, 2017

Journal keyword(s): instrumentation: detectors - methods: data analysis - techniques: image processing - techniques: photometric - space vehicles: instruments - space vehicles: instruments

Simbad objects: 32

goto Full paper

goto View the references in ADS

Number of rows : 32
N Identifier Otype ICRS (J2000)
RA
ICRS (J2000)
DEC
Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2026
#notes
1 Ass Per OB 1 As* 02 21 +57.6           ~ 181 1
2 NAME Pic I G 04 43 47.4 -50 16 59           ~ 58 0
3 * pi.05 Ori SB* 04 54 15.0970445784 +02 26 26.417970456 2.72 3.54 3.73 3.79 3.99 B2III 225 0
4 * bet Ori s*b 05 14 32.27210 -08 12 05.8981 -0.56 0.10 0.13 0.13 0.15 B8Ia 786 0
5 * tau Ori * 05 17 36.3903358088 -06 50 39.866785352 3.01 3.47 3.59     B6III 198 0
6 * eta Ori bC* 05 24 28.61672 -02 23 49.7311 2.25 3.18 3.35 3.44 3.65 B1V+B2: 412 0
7 * gam Ori V* 05 25 07.86325 +06 20 58.9318 0.54 1.42 1.64 1.73 1.95 B2III 542 1
8 * psi02 Ori bC* 05 26 50.2293232104 +03 05 44.422154160 3.45 4.398 4.611     B2IV 218 0
9 * del Ori ** 05 32 00.40009 -00 17 56.7424 0.96 2.02 2.41 2.32 2.54 O9.5IINwk 796 0
10 * lam Ori ** 05 35 08.27761 +09 56 02.9611 2.45 3.48 3.66 3.72 3.89 O8IIIf+B0.5V 327 0
11 * iot Ori SB* 05 35 25.9861932063 -05 54 35.598684624 1.45 2.53 2.77     O9IIIvar 793 0
12 NAME Ori I As* 05 38 -02.8           ~ 653 0
13 * sig Ori Y*O 05 38 44.7653828520 -02 36 00.283179888 2.54 3.58 3.79 3.87 4.11 O9.5V+B0.2V(n) 855 0
14 * zet Ori ** 05 40 45.52666 -01 56 33.2649 0.50 1.56 1.77 1.85 2.05 O9.7Ib+B0III 375 0
15 * kap Ori s*b 05 47 45.3888404 -09 40 10.577707 0.87 1.88 2.06 2.09 2.27 B0.5Ia 588 0
16 * alf Ori s*r 05 55 10.30536 +07 24 25.4304 4.38 2.27 0.42 -1.17 -2.45 M1-M2Ia-Iab 1789 0
17 NAME Carina Molecular Cloud Complex MoC 10 43 10 -59 38.2           ~ 97 0
18 NAME Carina I HII Region HII 10 43 32 -59 35.0           ~ 59 0
19 * rho Cen Pu* 12 11 39.1197479712 -52 22 06.384420264 3.20 3.81 3.96 4.05 4.21 B3V 136 0
20 * eta Cen Be* 14 35 30.4241610 -42 09 28.170782 1.30 2.12 2.31 2.41 2.59 B2Ve 361 1
21 * gam Lup ** 15 35 08.44835 -41 10 00.3247 1.76 2.586 2.765     B2IV 187 0
22 * rho Sco SB* 15 56 53.0772000457 -29 12 50.667996815 2.84 3.66 3.86 3.97 4.17 B2IV-V 221 0
23 NAME Sco OB 1 As* 16 53.5 -41 57           ~ 222 0
24 NAME Sgr I Window reg 17 56 -29.0           ~ 71 0
25 NAME Sagittarius II Gl? 19 52 40.5 -22 04 05           ~ 97 0
26 NAME Bubble around HD 191765 HI 20 10 +36.1           ~ 7 0
27 * gam Cyg V* 20 22 13.7018357 +40 15 24.044963 3.44 2.90 2.23 1.74 1.40 F8Ib 607 0
28 V* DT Cyg cC* 21 06 30.2442031296 +31 11 04.762896468 6.70 6.38 5.82     F7II- 323 0
29 NAME CYG II ASSOC Cl* ~ ~           ~ 3 0
30 NAME Lyra reg ~ ~           ~ 62 0
31 NAME Crux Region reg ~ ~           ~ 18 0
32 NAME Cyg-Lyr Filament ? ~ ~           ~ 15 0

To bookmark this query, right click on this link: simbad:objects in 2017A&A...605A..26P and select 'bookmark this link' or equivalent in the popup menu