2023MNRAS.518.1260S

Query : 2023MNRAS.518.1260S

2023MNRAS.518.1260S - Mon. Not. R. Astron. Soc., 518, 1260-1300 (2023/January-1)

STRIDES: automated uniform models for 30 quadruply imaged quasars.

SCHMIDT T., TREU T., BIRRER S., SHAJIB A.J., LEMON C., MILLON M., SLUSE D., AGNELLO A., ANGUITA T., AUGER-WILLIAMS M.W., McMAHON R.G., MOTTA V., SCHECHTER P., SPINIELLO C., KAYO I., COURBIN F., ERTL S., FASSNACHT C.D., FRIEMAN J.A., MORE A., SCHULDT S., SUYU S.H., AGUENA M., ANDRADE-OLIVEIRA F., ANNIS J., BACON D., BERTIN E., BROOKS D., BURKE D.L., CARNERO ROSELL A., CARRASCO KIND M., CARRETERO J., CONSELICE C., COSTANZI M., DA COSTA L.N., PEREIRA M.E.S., DE VICENTE J., DESAI S., DOEL P., EVERETT S., FERRERO I., FRIEDEL D., GARCIA-BELLIDO J., GAZTANAGA E., GRUEN D., GRUENDL R.A., GSCHWEND J., GUTIERREZ G., HINTON S.R., HOLLOWOOD D.L., HONSCHEID K., JAMES D.J., KUEHN K., LAHAV O., MENANTEAU F., MIQUEL R., PALMESE A., PAZ-CHINCHON F., PIERES A., PLAZAS MALAGON A.A., PRAT J., RODRIGUEZ-MONROY M., ROMER A.K., SANCHEZ E., SCARPINE V., SEVILLA-NOARBE I., SMITH M., SUCHYTA E., TARLE G., TO C., VARGA T.N. (The DES Collaboration)

Abstract (from CDS):

Gravitational time delays provide a powerful one-step measurement of H0, independent of all other probes. One key ingredient in time-delay cosmography are high-accuracy lens models. Those are currently expensive to obtain, both, in terms of computing and investigator time (105-106 CPU hours and ∼0.5-1 yr, respectively). Major improvements in modelling speed are therefore necessary to exploit the large number of lenses that are forecast to be discovered over the current decade. In order to bypass this roadblock, we develop an automated modelling pipeline and apply it to a sample of 31 lens systems, observed by the Hubble Space Telescope in multiple bands. Our automated pipeline can derive models for 30/31 lenses with few hours of human time and <100 CPU hours of computing time for a typical system. For each lens, we provide measurements of key parameters and predictions of magnification as well as time delays for the multiple images. We characterize the cosmography-readiness of our models using the stability of differences in the Fermat potential (proportional to time delay) with respect to modelling choices. We find that for 10/30 lenses, our models are cosmography or nearly cosmography grade (<3 per cent and 3-5 per cent variations). For 6/30 lenses, the models are close to cosmography grade (5-10 per cent). These results utilize informative priors and will need to be confirmed by further analysis. However, they are also likely to improve by extending the pipeline modelling sequence and options. In conclusion, we show that uniform cosmography grade modelling of large strong lens samples is within reach.

Abstract Copyright: © 2022 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society

Journal keyword(s): gravitational lensing: strong - quasars: general - distance scale

Nomenclature: Table 3: [STB2023] J0029-3814 N=1. Figs C1-C7, Tables 3+6+7: [STB2023] JHHMM+DDMM A N=40, [STB2023] PS JHHMM+DDMM A N=16, [STB2023] DES JHHMM+DDMM A N=20, [STB2023] WGHHMM+DDMM A N=8, [STB2023] SDSS JHHMM+DDMM A N=16, [STB2023] WISE J0259-1635 A (Nos A-D), [STB2023] W2M J1042+1641 A (Nos A-D), [STB2023] 2MHHMM+DDMM A N=8, [STB2023] ATLAS J2344-3056 A (Nos A-D).

Status at CDS : Acronym for new objects described in the dictionary of nomenclature and being created in SIMBAD. // Large table(s) will be appraised for possible ingestion in VizieR.

Simbad objects: 28

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Number of rows : 28
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 [LAM2018] J0030-1525 LS? 00 30 15.31 -15 25 03.1           ~ 6 0
2 QSO J0053-2012 QSO 00 53 44.47656480 -20 12 33.6891600         17.578 ~ 4 0
3 NAME Andromeda's Parachute gLS 01 47 10.200 +46 30 40.50           ~ 14 0
4 [A2018b] WG J0214-2105 gLS 02 14 16.37 -21 05 35.3           ~ 10 0
5 [DKW2019] 25 gLS 02 48 48.743 +19 13 30.50           ~ 10 0
6 [SAM2018] ATLAS J0259-1635 gLS 02 59 42.855 -16 35 43.35           ~ 8 0
7 DES J040559.80-330851.4 gLS 04 05 59.80 -33 08 51.4           ~ 18 0
8 [ALB2017] DES J0408-5354 gLS 04 08 21.70 -53 53 59.6           ~ 37 0
9 [SBT2019] DES J0420-4037 gLS 04 20 46.766 -40 37 26.69           ~ 8 0
10 [DKW2019] 8 LS? 05 30 36.995 -37 30 11.04           ~ 5 0
11 [LAM2018] J0630-1201 gLS 06 30 09.11 -12 01 20.0           ~ 8 0
12 [SDK2021] GraL J065904.1+162909 gLS 06 59 04.1 +16 29 09           ~ 13 0
13 [SDK2021] GraL J081828.3-261325 gLS 08 18 28.3 -26 13 25           ~ 7 0
14 2MASS J10422211+1641151 QSO 10 42 22.11768 +16 41 15.1440           ~ 13 0
15 [KDW2018] GRAL J113100-441959 LS? 11 31 00.010 -44 19 59.87           ~ 12 0
16 [LSS2018] 2M J1134-2103 gLS 11 34 40.535 -21 03 22.40           ~ 9 0
17 2MASS J12510753+2935405 QSO 12 51 07.54 +29 35 40.6   19.53 19.22     ~ 29 1
18 [LSS2018] 2M J1310-1714 gLS 13 10 20.05 -17 14 58.2           ~ 5 0
19 [ROM2016] SDSS J1330+1810 system gLS 13 30 18.64 +18 10 32.1           ~ 9 0
20 [AGJ2018] SDSS J1433+6007 system gLS 14 33 22.9 +60 07 15           ~ 10 0
21 [DKW2019] 11 LS? 15 37 25.332 -30 10 16.99           ~ 12 0
22 [LAM2018] J1606-2333 LS? 16 06 00.18 -23 33 22.0           ~ 23 0
23 [LAM2018] J1721+8842 LS? 17 21 49.01 +88 42 22.4           ~ 18 0
24 [DKW2019] 23 LS? 18 17 30.851 +27 29 40.08           ~ 11 0
25 [ALK2018] WGD J2038-4008 gLS 20 38 02.707 -40 08 13.59           ~ 23 0
26 [AS2019] WG J210014.9-445206.4 LI? 21 00 14.90 -44 52 06.4           ~ 9 0
27 [LAM2019] J2145+6345 LS? 21 45 05.18 +63 45 41.2           ~ 6 0
28 [SMC2017] WISE J2344-3056 gLS 23 44 17.0 -30 56 26           ~ 8 0

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