2023A&A...675A.205C


Query : 2023A&A...675A.205C

2023A&A...675A.205C - Astronomy and Astrophysics, volume 675A205 (2023/7-1)

Preparation for an unsupervised massive analysis of SPHERE high-contrast data with PACO Optimization and benchmarking on 24 solar-type stars.

CHOMEZ A., LAGRANGE A.-M., DELORME P., LANGLOIS M., CHAUVIN G., FLASSEUR O., DALLANT J., PHILIPOT F., BERGEON S., ALBERT D., MEUNIER N. and RUBINI P.

Abstract (from CDS):

Context. Despite tremendous progress in the detection and characterization of extrasolar planetary systems in the last 25 yr, we have not pinpointed any Solar System analogues. In particular, Jupiter-like planets (either mature or old) are barely detectable beyond 5 au with indirect techniques and they are still out of the reach of direct imaging techniques.
Aims. Our study is aimed at a search for exoplanets throughout the whole ESO/VLT-SPHERE archive with an improved and unsupervised data analysis algorithm that could allow us to detect massive giant planets at 5 au. To prepare, test, and optimize our approach, we gathered a sample of 24 solar-type stars observed with SPHERE using angular and spectral differential imaging modes.
Methods. We used PACO, a recently developed new-generation algorithm that has been shown to outperform classical methods. We also improved the SPHERE pre-reduction pipeline and optimized the outputs of PACO to enhance the detection performance. We developed custom-built spectral prior libraries to optimize the detection capability of the ASDI mode for both IRDIS and IFS.
Results. Compared to previous works conducted with more classical algorithms, the contrast limits we derived with PACO are more reliable and significantly improved, especially at short angular separations, where a gain by a factor ten has been obtained between 0.2 and 0.5 arcsec. Under good observing conditions, planets down to 5 MJup, orbiting at 5 au could be detected around stars within 60 parsec. We identified two exoplanet candidates that will require a follow-up to test for a common proper motion.
Conclusions. In this work, we use a small sample to demonstrate the benefits of PACO in terms of achievable contrast and of control of the confidence levels. In addition, we have developed custom tools to take full advantage of this algorithm and to quantity the total error budget on the estimated astrometry and photometry. This work paves the way towards an end-to-end, homogeneous, and unsupervised massive re-reduction of archival direct imaging surveys in the quest for new exo-Jupiters.

Abstract Copyright: © The Authors 2023

Journal keyword(s): techniques: high angular resolution - techniques: image processing - methods: data analysis - instrumentation: adaptive optics - planets and satellites: detection

VizieR on-line data: <Available at CDS (J/A+A/675/A205): stars.dat table1.dat>

Simbad objects: 33

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Number of rows : 33
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 NAME THA MGr 00 00 -62.0           ~ 540 0
2 HD 105 PM* 00 05 52.5447817152 -41 45 11.044988352   8.13 7.53     G0V 203 0
3 HD 377 PM* 00 08 25.7454555168 +06 37 00.489407808   8.22 7.59   6.90 G2V 160 0
4 HD 987 PM* 00 13 53.0108292528 -74 41 17.850099516   9.48 8.724   7.933 G8V 122 0
5 HD 1466 PM* 00 18 26.1235857360 -63 28 38.980983432   8.00 7.46     F8V 138 0
6 V* CT Tuc PM* 00 25 14.6618673216 -61 30 48.252745152   13.11 11.34   9.66 M0Ve 79 0
7 BD-12 243 PM* 01 20 32.2680172224 -11 28 03.727949952   9.19 8.39     G9V 107 1
8 HD 8558 PM* 01 23 21.2547930336 -57 28 50.688846336   9.21 8.543   7.773 G7V 102 0
9 * eps Hyi PM* 02 39 35.3616474335 -68 16 01.008064791 3.91 4.047 4.096     B9Va 133 0
10 HD 17925 RS* 02 52 32.1281856011 -12 46 10.968056223 7.48 6.91 6.05 5.34 4.89 K1V 557 0
11 V* V1358 Ori BY* 06 19 08.0574987312 -03 26 20.361237864   8.52 7.95     G0V 128 0
12 HD 44627 Er* 06 19 12.9130449912 -58 03 15.527294208   10.01 9.205   8.185 K1V(e) 207 1
13 HD 45270 PM* 06 22 30.9408581256 -60 13 07.147057296 7.186 7.11 6.508   5.87 G1V 134 0
14 NAME AB Dor Moving Group MGr 06 38 53.4 -42 50 04           ~ 540 0
15 CD-61 1439 PM* 06 39 50.0234724000 -61 28 41.530139940 12.224 11.043 9.746 9.11 8.223 K7V(e) 89 0
16 HD 49855 PM* 06 43 46.2456407136 -71 58 35.390963928   9.63 9.055   8.259 G6V 92 0
17 HD 61005 PM* 07 35 47.4623556456 -32 12 14.045086368   8.96 8.22     G8Vk 265 0
18 HD 90712 PM* 10 27 47.7769805592 -34 23 58.130472804   8.11 7.52     G0VCH-0.3 60 0
19 * del Crv B PM* 12 29 50.8908693096 -16 31 15.208167648 10.13 9.38 8.43     K1 44 0
20 HD 118100 PM* 13 34 43.2063495866 -08 20 31.338030204 11.578 10.552 9.372 8.602 7.930 K5Ve 360 0
21 NAME beta Pic Moving Group MGr 14 30 -42.0           ~ 894 0
22 HD 164249 PM* 18 03 03.4097283792 -51 38 56.432149872   7.438 7.007 7.90   F6V 142 0
23 CD-31 16041 Y*O 18 50 44.4830287248 -31 47 47.382005112   12.25 11.191 10.745 9.432 K8Ve 56 0
24 V* PZ Tel BY* 18 53 05.8735056984 -50 10 49.897437168   9.22 8.342   7.464 G9IV 364 0
25 HD 181327 PM* 19 22 58.9437222504 -54 32 16.975668624   7.50 7.04   6.49 F6V 331 0
26 HD 189245 PM* 20 00 20.2493681318 -33 42 12.424573369   6.15 5.66     F7V 119 0
27 V* BO Mic BY* 20 47 45.0056152368 -36 35 40.769832192   10.39 9.337   8.216 K3V(e) 214 0
28 HD 202917 PM* 21 20 49.9576157736 -53 02 03.155667216   9.32 8.67   7.882 G7V 191 0
29 Smethells 86 PM* 21 44 30.1227174024 -60 58 38.894635668 14.163 13.00 11.628 10.715 9.815 M0Ve 86 0
30 HD 206893b Pl 21 45 21.9052532928 -12 47 00.060804636           ~ 48 0
31 HD 218860 PM* 23 11 52.0534851600 -45 08 10.631426784   9.52 8.782   7.930 G8V 85 0
32 HD 224228 PM* 23 56 10.6732330776 -39 03 08.409504852 9.977 9.21 8.225 7.669 7.194 K2V 98 0
33 NAME Carina Moving Group MGr ~ ~           ~ 66 0

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