STRIDES: automated uniform models for 30 quadruply imaged quasars
Distance Scale
Cosmology and Nongalactic Astrophysics (astro-ph.CO)
gravitationally lensed quasars
astronomi: 438
Gravitational lensing: strong
time-delay cosmography
GAIA
FOS: Physical sciences
astrometric requirements
acs survey
Astronomy & Astrophysics
gravitational lensing strong
distance scale
Astrophysics Cosmology and Nongalactic Astrophysics
SPECTROSCOPIC CONFIRMATION
Gravitational Lensing: Strong
01 natural sciences
hubble constant
quasars: general
0103 physical sciences
EARLY-TYPE GALAXIES
Quasars: General
early-type galaxies
Science & Technology
Distance scale
gravitational lensing: strong
Física
gravitational lensing strong; quasars general; distance scale; Astrophysics Cosmology and Nongalactic Astrophysics
GRAVITATIONALLY LENSED QUASARS
004
ASTROMETRIC REQUIREMENTS
Quasars: general
DISCOVERY
Physical Sciences
DIGITAL SKY SURVEY
gaia
quasars general
VDP::Astrofysikk
digital sky survey
ACS SURVEY
[PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]
TIME-DELAY COSMOGRAPHY
discovery
HUBBLE CONSTANT
spectroscopic confirmation
Astrophysics - Cosmology and Nongalactic Astrophysics
DOI:
10.1093/mnras/stac2235
Publication Date:
2022-11-01T16:19:07Z
AUTHORS (72)
ABSTRACT
ABSTRACT
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.
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CITATIONS (34)
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