2025A&A...701A..93S


Query : 2025A&A...701A..93S

2025A&A...701A..93S - Astronomy and Astrophysics, volume 701A93 (2025/9-1)

Optimising reference library selection for reference-star differential imaging of discs with SPHERE/IRDIS.

STASEVIC S., MILLI J., MAZOYER J., LAGRANGE A.-M. and BERGEON S.

Abstract (from CDS):

Context. The direct detection of circumstellar discs through high-contrast imaging provides key insights into the history and dynamics of planetary systems. Pole-on discs, especially faint debris discs, are difficult to detect and require careful consideration during post-processing to remove stellar residuals from the data while preserving the disc signal. Reference-star differential imaging (RDI) serves as one of the primary post-processing methods for disc observations; however, the impact of the reference library on the detection sensitivity of discs has yet to be fully explored.
Aims. We aim to explore different reference library selection metrics in order to develop a method of reference frame selection that is optimised for pole-on discs to be used for the upcoming large-scale RDI reduction of archival SPHERE/IRDIS observations in the search of new discs.
Methods. We performed RDI post-processing based on principal component analysis on 20 targets without discs and with varying observational conditions and seven targets with discs, using reference libraries built from frames that were preselected to best match different observational, atmospheric, and stellar parameters of the science frames. The contrast of the disc-free reductions was measured, and forward modelling was used to estimate the signal loss from over-subtraction using synthetic pole-on discs with two different widths and four different radii. The signal-to-noise ratio (S/N) of the real disc targets was measured.
Results. Diverse reference libraries built using subsets of frames that closely matched different parameters achieved the best disc S/N and smallest deviation from the best contrast of each target, outperforming libraries built using a single criteria as a selection metric. Libraries built using frame-to-frame Pearson correlation coefficient alone as a selection criterion achieved the best mean contrast overall. Both selection metrics performed consistently well for all disc radii and observational conditions. We also found that reference libraries built using frames observed close in time to the science frame performed well for discs at small separations, giving the best contrast for ∼30% of the targets at a radius of 20 px.

Abstract Copyright: © The Authors 2025

Journal keyword(s): methods: data analysis - techniques: high angular resolution - techniques: image processing - protoplanetary disks

Simbad objects: 27

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Number of rows : 27
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 V* CC Phe PM* 01 28 08.6607223056 -52 38 19.144933512   9.98 9.07     K1V 103 0
2 HD 13724 PM* 02 12 20.6772821184 -46 48 58.954833684   8.56 7.87     G3/5V 100 0
3 * eps Hyi PM* 02 39 35.3616474335 -68 16 01.008064791 3.91 4.047 4.096     B9Va 133 0
4 EM* LkCa 15 Or* 04 39 17.7911622816 +22 21 03.390090984   13.01 12.03 11.61   K5:Ve 792 1
5 HD 37306 * 05 37 08.7722861928 -11 46 31.857428280   6.143 6.089     A1V 64 0
6 HD 37484 * 05 37 39.6269435064 -28 37 34.655407824   7.66 7.25   6.79 F4V 108 0
7 HD 59967 PM* 07 30 42.5117581608 -37 20 21.706958688 7.386 7.274 6.635 6.28 5.945 G3V 188 0
8 HD 69830 PM* 08 18 23.9469682407 -12 37 55.817187530   6.74 5.95     G8:V 587 1
9 V* TW Hya TT* 11 01 51.9053285064 -34 42 17.033218380   11.94 10.50 10.626 9.18 K6Ve 2144 1
10 HD 100453 Ae* 11 33 05.5766482920 -54 19 28.547100696   8.09 7.79     F1Vn 335 1
11 HD 107301 * 12 20 28.2217292304 -65 50 33.568205244   6.149 6.186     B9V 57 0
12 HD 109573 TT* 12 36 01.0317461592 -39 52 10.220465388   5.786 5.774   5.81 A0V 684 1
13 HD 111520 Or* 12 50 19.7183455512 -49 51 48.961948068   9.37 8.87     F5/6V 77 0
14 HD 113902 * 13 07 38.2846328832 -53 27 35.149793112   5.629 5.698     B8/9V 73 0
15 HD 121156 RG* 13 54 16.6405572696 -28 34 10.615888776   7.182 6.045     K2III 44 0
16 HD 123247 * 14 07 40.8080262960 -48 42 14.498997408 6.390 6.415 6.418     B9.5V 42 0
17 HD 126062 * 14 24 37.0002457752 -47 10 39.864317052   7.51 7.44     A1V 44 0
18 HD 126135 * 14 24 43.9159794840 -40 45 18.590339412   6.90 6.96     B8V 54 0
19 V* KU Lib BY* 14 40 31.1063299272 -16 12 33.452598312 8.247 7.977 7.240 6.837 6.47 G8Vk: 112 0
20 HD 141569 Or* 15 49 57.7482550392 -03 55 16.341617064 7.22 7.20 7.12 7.00 7.04 A2VekB9mB9(_lB) 578 0
21 BD-19 4288 TT* 16 01 58.2155255520 -20 08 11.954643036   11.58 10.501 9.9 9.275 G9IV(e) 47 0
22 ATO J241.0901-21.5080 Or* 16 04 21.6547947840 -21 30 28.550063304   13.3       K2 190 0
23 HD 147808 TT* 16 24 51.3636976776 -22 39 32.558556276   10.69 9.81   8.58 G9IVe 47 0
24 HD 165185 PM* 18 06 23.7195191736 -36 01 11.230597272 6.64 6.57 5.95 5.58   G1V 192 0
25 HD 181327 PM* 19 22 58.9437222504 -54 32 16.975668624   7.50 7.04   6.49 F6V 331 0
26 * eps Pav PM* 20 00 35.5515303087 -72 54 37.812955563   3.927 3.940     A0Va 142 0
27 * bet PsA PM* 22 31 30.3305233469 -32 20 45.871070532 4.32 4.30 4.29 4.27 4.25 A1Va 102 0

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