Galaxy Scale Lenses in the Rcs2. I. First Catalog of Candidate Strong Lenses

Anguita, T.; Barrientos, L. Felipe; Gladders, Michael D.; Fauré, C.; Yee, H. K. C.; Gilbank, David

doi:10.1088/0004-637x/748/2/129

Cited by 4 publications

(2 citation statements)

References 36 publications

(54 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…513 out of the 761 fields have g, r, i, z coverage, this corresponds to an effective area of 383.5 square degrees, now using masks from all filters, which is what we use in this paper. The RCS2 survey has been used several times to study galaxy cluster properties for example Sharon et al (2015), Hoag et al (2015), Anguita et al (2012), Wuyts et al (2010). In addition there are several papers based on the RCS2 data including galaxy-galaxy lensing (van Uitert et al, 2011;Cacciato et al, 2014) and galaxy clustering (Blake et al, 2015).…”

Section: Datamentioning

confidence: 99%

RCSLenS: Cosmic Distances from Weak Lensing

Kitching,

Viola,

Hildebrandt

et al. 2015

Preprint

Self Cite

View full text Add to dashboard Cite

In this paper we present results of applying the shear-ratio method to the RCSLenS data. The method takes the ratio of the mean of the weak lensing tangential shear signal about galaxy clusters, averaged over all clusters of the same redshift, in multiple background redshift bins. In taking a ratio the mass-dependency of the shear signal is cancelled-out leaving a statistic that is dependent on the geometric part of the lensing kernel only. We apply this method to 535 clusters and measure a cosmologyindependent distance-redshift relation to redshifts z > ∼ 1. In combination with Planck data the method lifts the degeneracies in the CMB measurements, resulting in cosmological parameter constraints of Ω M = 0.31 ± 0.10 and w 0 = −1.02 ± 0.37, for a flat wCDM cosmology.

show abstract

Section: Datamentioning

confidence: 99%

RCSLenS: Cosmic Distances from Weak Lensing

Kitching,

Viola,

Hildebrandt

et al. 2015

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Bolton et al 2006;Anguita et al 2012). In particular, only few giant arcs caused by galaxy clusters are known.…”

Section: Introductionmentioning

confidence: 99%

Multi-colour detection of gravitational arcs

Maturi¹,

Mizera²,

Seidel³

2014

A&A

View full text Add to dashboard Cite

Strong gravitational lensing provides fundamental insights into the understanding of the dark matter distribution in massive galaxies, galaxy clusters, and the background cosmology. Despite their importance, few gravitational arcs have been discovered so far. The urge for more complete, large samples and unbiased methods of selecting candidates increases. Several methods for the automatic detection of arcs have been proposed in the literature, but large amounts of spurious detections retrieved by these methods force observers to visually inspect thousands of candidates per square degree to clean the samples. This approach is largely subjective and requires a huge amount of checking by eye, especially considering the actual and upcoming wide-field surveys, which will cover thousands of square degrees. In this paper we study the statistical properties of the colours of gravitational arcs detected in the 37 deg 2 of the CFHTLS-Archive-Research Survey (CARS). Most of them lie in a relatively small region of the (g − r , r − i ) colour-colour diagram. To explain this property, we provide a model that includes the lensing optical depth expected in a ΛCDM cosmology that, in combination with the sources' redshift distribution of a given survey, in our case CARS, peaks for sources at redshift z ∼ 1. By furthermore modelling the colours derived from the spectral energy distribution of the galaxies that dominate the population at that redshift, the model reproduces the observed colours well. By taking advantage of the colour selection suggested by both data and model, we automatically detected 24 objects out of 90 detected by eye checking. Compared with the single-band arcfinder, this multiband filtering returns a sample complete to 83% and a contamination reduced by a factor of ∼6.5. New gravitational arc candidates are also proposed.

show abstract

Searching for Strong Gravitational Lenses

Lemon,

Courbin,

et al. 2024

Space Sci Rev

View full text Add to dashboard Cite

Strong gravitational lenses provide unique laboratories for cosmological and astrophysical investigations, but they must first be discovered – a task that can be met with significant contamination by other astrophysical objects and asterisms. Here we review strong lens searches, covering various sources (quasars, galaxies, supernovae, FRBs, GRBs, and GWs), lenses (early- and late-type galaxies, groups, and clusters), datasets (imaging, spectra, and lightcurves), and wavelengths. We first present the physical characteristics of the lens and source populations, highlighting relevant details for constructing targeted searches. Search techniques are described based on the main lensing feature that is required for the technique to work, namely one of: (i) an associated magnification, (ii) multiple spatially-resolved images, (iii) multiple redshifts, or (iv) a non-zero time delay between images. To use the current lens samples for science, and for the design of future searches, we list several selection biases that exist due to these discovery techniques. We conclude by discussing the future of lens searches in upcoming surveys and the new population of lenses that will be discovered.

show abstract

Galaxy Scale Lenses in the Rcs2. I. First Catalog of Candidate Strong Lenses

Cited by 4 publications

References 36 publications

RCSLenS: Cosmic Distances from Weak Lensing

RCSLenS: Cosmic Distances from Weak Lensing

Multi-colour detection of gravitational arcs

Searching for Strong Gravitational Lenses

Contact Info

Product

Resources

About