2025A&A...702A.130N

Query : 2025A&A...702A.130N

2025A&A...702A.130N - Astronomy and Astrophysics, volume 702A130 (2025/10-1)

Euclid: Finding strong gravitational lenses in the early release observations using convolutional neural networks.

NAGAM B.C., ACEVEDO BARROSO J.A., WILDE J., ANDIKA I.T., MANJON-GARCIA A., PEARCE-CASEY R., STERN D., NIGHTINGALE J.W., MOUSTAKAS L.A., McCARTHY K., MORAVEC E., LEUZZI L., ROJAS K., SERJEANT S., COLLETT T.E., MATAVULJ P., WALMSLEY M., CLEMENT B., TORTORA C., GAVAZZI R., METCALF R.B., O'RIORDAN C.M., VERDOES KLEIJN G., KOOPMANS L.V.E., VALENTIJN E.A., BUSILLO V., SCHULDT S., COURBIN F., VERNARDOS G., MENEGHETTI M., DIAZ-SANCHEZ A., DIEGO J.M., ECKER L.R., THAI T.T., COORAY A.R., COURTOIS H.M., DELCHAMBRE L., DESPALI G., SLUSE D., ULIVI L., MELO A., CORCHO-CABALLERO P., ALTIERI B., AMARA A., ANDREON S., AURICCHIO N., AUSSEL H., BACCIGALUPI C., BALDI M., BALESTRA A., BARDELLI S., BATTAGLIA P., BONINO D., BRANCHINI E., BRESCIA M., BRINCHMANN J., CAILLAT A., CAMERA S., CAPOBIANCO V., CARBONE C., CARRETERO J., CASAS S., CASTELLANO M., CASTIGNANI G., CAVUOTI S., CIMATTI A., COLODRO-CONDE C., CONGEDO G., CONSELICE C.J., CONVERSI L., COPIN Y., CROPPER M., DA SILVA A., DEGAUDENZI H., DE LUCIA G., DI GIORGIO A.M., DINIS J., DUBATH F., DUNCAN C.A.J., DUPAC X., DUSINI S., FABRICIUS M., FARINA M., FARRENS S., FERRIOL S., FRAILIS M., FRANCESCHI E., FUMANA M., GEORGE K., GILLARD W., GILLIS B., GIOCOLI C., GOMEZ-ALVAREZ P., GRAZIAN A., GRUPP F., GUZZO L., HAUGAN S.V.H., HOAR J., HOLMES W., HOOK I., HORMUTH F., HORNSTRUP A., HUDELOT P., JAHNKE K., JHABVALA M., JOACHIMI B., KEIHANEN E., KERMICHE S., KUBIK B., KUIJKEN K., KUMMEL M., KUNZ M., KURKI-SUONIO H., LAUREIJS R., LE MIGNANT D., LIGORI S., LILJE P.B., LINDHOLM V., LLORO I., MAINETTI G., MAIORANO E., MANSUTTI O., MARGGRAF O., MARKOVIC K., MARTINELLI M., MARTINET N., MARULLI F., MASSEY R., MEDINACELI E., MELCHIOR M., MELLIER Y., MERLIN E., MEYLAN G., MORESCO M., MOSCARDINI L., NAKAJIMA R., NEISSNER C., NICHOL R.C., NIEMI S.-M., PADILLA C., PALTANI S., PASIAN F., PEDERSEN K., PERCIVAL W.J., PETTORINO V., PIRES S., POLENTA G., PONCET M., POPA L.A., POZZETTI L., RAISON F., REBOLO R., RENZI A., RHODES J., RICCIO G., ROMELLI E., RONCARELLI M., ROSSETTI E., SAGLIA R., SAKR Z., SANCHEZ A.G., SAPONE D., SARTORIS B., SCHIRMER M., SCHNEIDER P., SCHRABBACK T., SECROUN A., SEIDEL G., SERRANO S., SIRIGNANO C., SIRRI G., SKOTTFELT J., STANCO L., STARCK J.-L., STEINWAGNER J., TALLADA-CRESPI P., TAVAGNACCO D., TAYLOR A.N., TEPLITZ H.I., TERENO I., TOLEDO-MOREO R., TORRADEFLOT F., TSYGANOV A., TUTUSAUS I., VALENZIANO L., VASSALLO T., VEROPALUMBO A., WANG Y., WELLER J., ZACCHEI A., ZUCCA E., BURIGANA C., MORA A., PONTINEN M. and SCOTTEZ V.

Abstract (from CDS):

Several new galaxy-galaxy strong gravitational lenses have been detected in the early release observations (ERO) from Euclid. The all-sky survey is expected to find 170 000 new systems, which are expected to greatly enhancing studies of dark matter and dark energy, and to constrain the cosmological parameters better. As a first step, we visually inspect all galaxies in one of the ERO fields (Perseus) to identify candidate strong-lensing systems and compared them to the predictions from convolutional neural networks (CNNs). The entire ERO dataset is too large for an expert visual inspection, however. In this paper, we therefore extend the CNN analysis to the whole ERO dataset and use different CNN architectures and methods. Using five CNN architectures, we identified 8469 strong gravitational lens candidates from IE-band cutouts of 13 Euclid ERO fields and narrowed them down to 97 through visual inspection. The sample includes 14 grade A and 31 grade B candidates. We present the spectroscopic confirmation of a strong gravitational lensing candidate, EUCL J081705.61+702348.8. The foreground lensing galaxy, an early-type system at z = 0.335, and the background source, a star-forming galaxy at z = 1.475 with [O II] emission, are both identified. The lens modelling with the Euclid strong lens modelling pipeline revealed two distinct arcs in a lensing configuration, with an Einstein radius of 1$ \,.\!\!^{\prime \prime } $18 ± 0$ \,.\!\!^{\prime \prime } $03. This confirms the lensing nature of the system. These findings demonstrate that CNN-based candidate selection followed by visual inspection provides an effective approach for identifying strong lenses in Euclid data. They also highlight areas for improvement in future large-scale implementations.

Abstract Copyright: © The Authors 2025

Journal keyword(s): gravitational lensing: strong

Nomenclature: Table C.1: EUCL JHHMMSS.ss+DDMMSS.s N=97.

Status at CDS : Acronym for new objects described in the dictionary of nomenclature and being created in SIMBAD. // All or part of tables of objects will be ingested in SIMBAD with priority 1.

Simbad objects: 17

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Number of rows : 17
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 IC 10 rG 00 20 17.33520 +59 18 13.6480   13.6 9.5     ~ 1185 1
2 ACO 2764 ClG 00 20 27 -49 13.3           ~ 32 0
3 ACO 426 ClG 03 19 47.6 +41 30 54           ~ 2508 1
4 ACO S 373 ClG 03 38 29.4 -35 27 08           ~ 2029 0
5 IC 342 AGN 03 46 48.514 +68 05 45.98   10.5       ~ 1579 1
6 NAME NGC 1566 Group GrG 04 20 00.6 -54 56 17           ~ 180 0
7 NAME Taurus Complex SFR 04 41.0 +25 52           ~ 4971 0
8 Barnard 30 DNe 05 30.3 +12 46           ~ 56 0
9 NAME Horsehead Nebula DNe 05 40 59.0 -02 27 30           ~ 555 0
10 M 78 RNe 05 46 45.8 +00 04 45   8.0       ~ 397 0
11 NGC 2403 AGN 07 36 51.3381434280 +65 36 09.650825640 9.31 8.84 8.38 8.19   ~ 1887 1
12 UGC 4305 IG 08 19 04.9864630512 +70 43 13.086910452 12.06 11.72 11.39 11.11   ~ 812 2
13 M 10 GlC 16 57 09.05 -04 06 01.1     4.98     ~ 857 0
14 NGC 6397 GlC 17 40 42.09 -53 40 27.6     5.17     ~ 2103 0
15 NGC 6744 GiG 19 09 46.1335950504 -63 51 26.897079024   9.28 8.25 8.08 9.6 ~ 303 0
16 NGC 6822 G 19 44 56.199 -14 47 51.29   18 8.1     ~ 1661 0
17 ACO 2390 ClG 21 53 37.4 +17 41 46           ~ 732 2

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