Pith. sign in

REVIEW 1 cited by

The STRong lensing Insights into the Dark Energy Survey (STRIDES) 2016 follow-up campaign. I. Overview and classification of candidates selected by two techniques

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1808.04838 v2 pith:F5BACAFA submitted 2018-08-14 astro-ph.CO astro-ph.GA

T. Treu , A. Agnello , M. A. Baumer , S. Birrer , E. J. Buckley-Geer , F. Courbin , Y. J. Kim , H. Lim
show 74 more authors
P. J. Marshall B. Nord P. L. Schechter P. R. Sivakumar L. E. Abramson T. Anguita Y. Apostolovski M. W. Auger J. H. H. Chan G. C. F. Chen T. E. Collett C. D. Fassnacht J. -W. Hsueh C. Lemon R. G. McMahon V. Motta F. Ostrovski K. Rojas C. E. Rusu P. Williams J. Frieman G. Meylan S. H. Suyu T. M. C. Abbott F. B. Abdalla S. Allam J. Annis S. Avila M. Banerji D. Brooks A. Carnero Rosell M. Carrasco Kind J. Carretero F. J. Castander C. B. D'Andrea L. N. da Costa J. De Vicente P. Doel T. F. Eifler B. Flaugher P. Fosalba J. García-Bellido D. A. Goldstein D. Gruen R. A. Gruendl G. Gutierrez W. G. Hartley D. Hollowood K. Honscheid D. J. James K. Kuehn N. Kuropatkin M. Lima M. A. G. Maia P. Martini F. Menanteau R. Miquel A. A. Plazas A. K. Romer E. Sanchez V. Scarpine R. Schindler M. Schubnell I. Sevilla-Noarbe M. Smith R. C. Smith M. Soares-Santos F. Sobreira E. Suchyta M. E. C. Swanson G. Tarle D. Thomas D. L. Tucker A. R. Walker
This is my paper · ORCID
classification astro-ph.COastro-ph.GA
keywords stridesdarkenergycampaigncandidateslenslensedselection
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

The primary goals of the STRong lensing Insights into the Dark Energy Survey (STRIDES) collaboration are to measure the dark energy equation of state parameter and the free streaming length of dark matter. To this aim, STRIDES is discovering strongly lensed quasars in the imaging data of the Dark Energy Survey and following them up to measure time delays, high resolution imaging, and spectroscopy sufficient to construct accurate lens models. In this paper, we first present forecasts for STRIDES. Then, we describe the STRIDES classification scheme, and give an overview of the Fall 2016 follow-up campaign. We continue by detailing the results of two selection methods, the Outlier Selection Technique and a morphological algorithm, and presenting lens models of a system, which could possibly be a lensed quasar in an unusual configuration. We conclude with the summary statistics of the Fall 2016 campaign. Including searches presented in companion papers (Anguita et al.; Ostrovski et al.), STRIDES followed up 117 targets identifying 7 new strongly lensed systems, and 7 nearly identical quasars (NIQs), which could be confirmed as lenses by the detection of the lens galaxy. 76 candidates were rejected and 27 remain otherwise inconclusive, for a success rate in the range 6-35\%. This rate is comparable to that of previous searches like SQLS even though the parent dataset of STRIDES is purely photometric and our selection of candidates cannot rely on spectroscopic information.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. A Joint Analysis of Strong Lensing and Type Ia Supernovae to Determine the Hubble Constant

    astro-ph.CO 2025-05 conditional novelty 5.0 of 10

    A model-independent combination of strong lensing and supernova data gives H0 = 70.55 ± 7.44 km/s/Mpc, consistent with both Planck and SH0ES within 1sigma.

Pith tools