In this section you can find the concept papers lenstronomy is based on and a list of science publications that made use of lenstronomy before 09/2022. For a more complete and current list of publications using lenstronomy we refer to the NASA/ADS query (this incudes all publications citing lenstronomy papers, which is not the same as publications making active use of the software).
- lenstronomy: Multi-purpose gravitational lens modelling software package; Birrer & Amara 2018
- This is the lenstronomy software paper. Please cite this paper whenever you make use of lenstronomy. The paper gives a design overview and highlights some use cases.
- lenstronomy II: A gravitational lensing software ecosystem; Birrer et al. 2021
- JOSS software publication. Please cite this paper whenever you make use of lenstronomy.
- Gravitational Lens Modeling with Basis Sets; Birrer et al. 2015
- This is the method paper lenstronomy is primary based on. Please cite this paper whenever you publish results with lenstronomy by using Shapelet basis sets and/or the PSO and MCMC chain.
- A versatile tool for cluster lensing source reconstruction. I. methodology and illustration on sources in the Hubble Frontier Field Cluster MACS J0717.5+3745; Yang et al. 2020a
- reconstructing the intrinsic size-mass relation of strongly lensed sources in clusters
- SLITronomy: towards a fully wavelet-based strong lensing inversion technique; Galan et al. 2020
- This is the method paper presenting SLITromomy, an improved version of the SLIT algorithm fully implemented and compatible with lenstronomy.
- deeplenstronomy: A dataset simulation package for strong gravitational lensing; Morgan et al. 2021a
- Software to simulating large datasets for applying deep learning to strong gravitational lensing.
- Galaxy shapes of Light (GaLight): a 2D modeling of galaxy images; Ding et al. 2021b
- Tool to perform two-dimensional model fitting of optical and near-infrared images to characterize surface brightness distributions.
- LensingETC: a tool to optimize multi-filter imaging campaigns of galaxy-scale strong lensing systems; Shajib et al. 2022b
- A Python package to select an optimal observing strategy for multi-filter imaging campaigns of strong lensing systems.
- Using wavelets to capture deviations from smoothness in galaxy-scale strong lenses; Galan et al. 2022
- Presenting a new software 'herculens'. The code structure and part of the modeling routines of herculens are based on lenstronomy.
- The mass-sheet degeneracy and time-delay cosmography: analysis of the strong lens RXJ1131-1231; Birrer et al. 2016
This paper performs a cosmographic analysis and applies the Shapelet basis set scaling to marginalize over a major lensing degeneracy.
- H0LiCOW - IX. Cosmographic analysis of the doubly imaged quasar SDSS 1206+4332 and a new measurement of the Hubble constant; Birrer et al. 2019
This paper performs a cosmographic analysis with power-law and composite models and covers a range in complexity in the source reconstruction
- Astrometric requirements for strong lensing time-delay cosmography; Birrer & Treu 2019
Derives requirements on how well the image positions of time-variable sources has to be known to perform a time-delay cosmographic measurement
- H0LiCOW XIII. A 2.4% measurement of H0 from lensed quasars: 5.3σ tension between early and late-Universe probes; Wong et al. 2019
Joint analysis of the six H0LiCOW lenses including the lenstronomy analysis of J1206
- STRIDES: A 3.9 per cent measurement of the Hubble constant from the strongly lensed system DES J0408-5354; Shajib et al. 2019
most precise single lensing constraint on the Hubble constant. This analysis includes two source planes and three lensing planes
- TDCOSMO. I. An exploration of systematic uncertainties in the inference of H0 from time-delay cosmography Millon et al. 2020
mock lenses to test accuracy on the recovered H0 value
- Lens modelling of the strongly lensed Type Ia supernova iPTF16geu Moertsell et al. 2020
Modeling of a lensed supernova to measure the Hubble constant
- The impact of line-of-sight structures on measuring H0 with strong lensing time-delays Li, Becker and Dye 2020
Point source position and time-delay modeling of quads
- TDCOSMO III: Dark matter substructure meets dark energy -- the effects of (sub)halos on strong-lensing measurements of H0 Gilman, Birrer and Treu 2020
Full line-of-sight halo rendering and time-delay analysis on mock images
- TDCOSMO IV: Hierarchical time-delay cosmography -- joint inference of the Hubble constant and galaxy density profiles Birrer et al. 2020
lenstronomy.Galkin for kinematics calculation that folds in the hierarchical analysis
- TDCOSMO V: strategies for precise and accurate measurements of the Hubble constant with strong lensing Birrer & Treu 2020
lenstronomy.Galkin for kinematics calculation that folds in the hierarchical analysis for a forecast for future Hubble constant constraints
- Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant Park et al. 2020
BBN lens model inference using lenstronomy through `baobab <https://github.com/jiwoncpark/baobab>`_ for training set generation.
- Improved time-delay lens modelling and H0 inference with transient sources Ding et al. 2021a
Simulations and models with and without lensed point sources to perform a time-delay cosmography analysis.
- Gravitational lensing H0 tension from ultralight axion galactic cores Blum & Teodori 2021
Investigating the detectability of a cored component with mock imaging modeling and comparison of kinematic modeling.
- The Hubble constant from strongly lensed supernovae with standardizable magnifications Birrer, Dhawan, Shajib 2021
Methodology and forecast to use standardizable magnifications to break the mass-sheet degeneracy and hierarchically measure H0.
- AI-driven spatio-temporal engine for finding gravitationally lensed supernovae Ramanah et al. 2021
Simulated images with time series of lensed supernovae.
- Systematic errors induced by the elliptical power-law model in galaxy-galaxy strong lens modeling Cao et al. 2021
Computing lensing quantities from mass maps.
- TDCOSMO. VII. Boxyness/discyness in lensing galaxies : Detectability and impact on H0 Van de Vyvere et al. 2021
Assessment of boxy and discy lens model on the inference of H0.
- TDCOSMO. IX. Systematic comparison between lens modelling software programs: time delay prediction for WGD 2038−4008 Shajib et al. 2022a
modeling of a time-delay lens and comprehensive analysis between two modeling codes.
- Forecast of observing time delay of the strongly lensed quasars with Muztagh-Ata 1.93m telescope Zhu et al. 2022a
Using lenstronomy to reproduce a lens and simulate the observed images based on parameters fitted by other work.
- Consequences of the lack of azimuthal freedom in the modeling of lensing galaxies van de Vyvere et al. 2022
Implemented a model ’ElliSLICE’ to describe radial changes in ellipticities and investigating assumptiosn on azimuthal freedom in the reconstruction.
- Lensing substructure quantification in RXJ1131-1231: a 2 keV lower bound on dark matter thermal relic mass; Birrer et al. 2017b
- This paper quantifies the substructure content of a lens by a sub-clump scanning procedure and the application of Approximate Bayesian Computing.
- Probing the nature of dark matter by forward modelling flux ratios in strong gravitational lenses; Gilman et al. 2018
- Probing dark matter structure down to 10**7 solar masses: flux ratio statistics in gravitational lenses with line-of-sight haloes; Gilman et al. 2019a
- Double dark matter vision: twice the number of compact-source lenses with narrow-line lensing and the WFC3 Grism; Nierenberg et al. 2019
- Warm dark matter chills out: constraints on the halo mass function and the free-streaming length of dark matter with 8 quadruple-image strong gravitational lenses; Gilman et al. 2019b
- Constraints on the mass-concentration relation of cold dark matter halos with 11 strong gravitational lenses; Gilman et al. 2019c
- Circumventing Lens Modeling to Detect Dark Matter Substructure in Strong Lens Images with Convolutional Neural Networks; Diaz Rivero & Dvorkin
- Dark Matter Subhalos, Strong Lensing and Machine Learning; Varma, Fairbairn, Figueroa
- Quantifying the Line-of-Sight Halo Contribution to the Dark Matter Convergence Power Spectrum from Strong Gravitational Lenses; Sengul et al. 2020
- Detecting Subhalos in Strong Gravitational Lens Images with Image Segmentation; Ostdiek et al. 2020a
- Extracting the Subhalo Mass Function from Strong Lens Images with Image Segmentation; Ostdiek et al. 2020b
- Strong lensing signatures of self-interacting dark matter in low-mass halos; Gilman et al. 2021a
- Substructure Detection Reanalyzed: Dark Perturber shown to be a Line-of-Sight Halo; Sengul et al. 2021
- modeling a line-of-sight mini-halo
- The primordial matter power spectrum on sub-galactic scales; Gilman et al. 2021b
- rendering sub- and line-of-sight halos
- From Images to Dark Matter: End-To-End Inference of Substructure From Hundreds of Strong Gravitational Lenses; Wagner-Carena et al. 2022
- rendering sub- and line-of-sight halos and generating realistic training sets of images for substructure quantifications
- Interlopers speak out: Studying the dark universe using small-scale lensing anisotropies; Dhanasingham et al. 2022
- rendering line of sight and subhalos with pyhalo on top of lenstronomy
- Probing Dark Matter with Strong Gravitational Lensing through an Effective Density Slope; Senguel & Dvorkin 2022
- measuring an effective slope of a subhalo in HST data and tests on mock data from N-body simulations
- Quantum fluctuations masquerade as halos: Bounds on ultra-light dark matter from quadruply-imaged quasars; Laroche et al. 2022
- using lenstronomy for flux ratio statistics calculation with pyHalo
- Constraining resonant dark matter self-interactions with strong gravitational lenses; Gilman et al. 2022
- using lenstronomy for flux ratio statistics calculation with pyHalo
- Strong lens systems search in the Dark Energy Survey using Convolutional Neural Networks; Rojas et al. 2021
- simulating training sets for lens searches
- On machine learning search for gravitational lenses; Khachatryan 2021
- simulating training sets for lens searches
- DeepZipper: A Novel Deep Learning Architecture for Lensed Supernovae Identification; Morgan et al. 2021b
- Using deeplenstronomy to simulate lensed supernovae data sets
- Detecting gravitational lenses using machine learning: exploring interpretability and sensitivity to rare lensing configurations; Wilde et al. 2021b
- Simulating compound lenses
- DeepZipper II: Searching for Lensed Supernovae in Dark Energy Survey Data with Deep Learning; Morgan et al. 2022
- Using deeplenstronomy to simulate lensed supernovae training sets
- DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing Data; Oreste Pinciroli Vago et al. 2022
- Using deeplenstronomy to simulate lensed supernovae training sets
- Massive elliptical galaxies at z∼0.2 are well described by stars and a Navarro-Frenk-White dark matter halo; Shajib et al. 2020a
- Automatized modeling of 23 SLACS lenses with dolphin, a lenstronomy wrapper
- High-resolution imaging follow-up of doubly imaged quasars; Shajib et al. 2020b
- Modeling of doubly lensed quasars from Keck Adaptive Optics data
- The evolution of the size-mass relation at z=1-3 derived from the complete Hubble Frontier Fields data set; Yang et al. 2020b
- reconstructing the intrinsic size-mass relation of strongly lensed sources in clusters
- PS J1721+8842: A gravitationally lensed dual AGN system at redshift 2.37 with two radio components; Mangat et al. 2021
- Imaging modeling of a dual lensed AGN with point sources and extended surface brightness
- RELICS: Small Lensed z≥5.5 Galaxies Selected as Potential Lyman Continuum Leakers; Neufeld et al. 2021
- size measurements of high-z lensed galaxies
- The size-luminosity relation of lensed galaxies at z=6−9 in the Hubble Frontier Fields; Yang et al. 2022a
- size measurements of high-z lensed galaxies
- The Near Infrared Imager and Slitless Spectrograph for the James Webb Space Telescope -- II. Wide Field Slitless Spectroscopy; Willott et al. 2022
- lensing calculations in cluster environments
- Inferences on relations between distant supermassive black holes and their hosts complemented by the galaxy fundamental plane; Silverman et al. 2022
- galaxy size measurement with quasar decomposition
- Concordance between observations and simulations in the evolution of the mass relation between supermassive black holes and their host galaxies; Ding et al. 2022
- galaxy size measurement with quasar decomposition
- Early results from GLASS-JWST. V: the first rest-frame optical size-luminosity relation of galaxies at z>7; Yang et al. 2022b
- galaxy size measurement from JWST data with Galight/lenstronomy
- A New Polar Ring Galaxy Discovered in the COSMOS Field; Nishimura et al. 2022
- Webb's PEARLS: dust attenuation and gravitational lensing in the backlit-galaxy system VV 191; Keel et al. 2022
- Is every strong lens model unhappy in its own way? Uniform modelling of a sample of 12 quadruply+ imaged quasars; Shajib et al. 2018
- This work presents a uniform modelling framework to model 13 quadruply lensed quasars in three HST bands.
- Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing; Wagner-Carena et al. 2020
- This work conducts hierarchical inference of strongly-lensed systems with Bayesian neural networks.
- A search for galaxy-scale strong gravitational lenses in the Ultraviolet Near Infrared Optical Northern Survey (UNIONS); Savary et al. 2021
- Automated modeling of best candidates of ground based data.
- GIGA-Lens: Fast Bayesian Inference for Strong Gravitational Lens Modeling; Gu et al. 2022
- lenstronomy-inspired GPU lensing code with PEMD+shear and Sersic modeling, and tested against lenstronomy.
- STRIDES: Automated uniform models for 30 quadruply imaged quasars; Schmidt et al. 2022
- Automated and uniform modeling of 30 quadruply lensed quasars.
- The mass relations between supermassive black holes and their host galaxies at 1<z<2 with HST-WFC3; Ding et al. 2019
- Quasar host galaxy decomposition at high redshift on HST imaging and marginalization over PSF uncertainties.
- Testing the Evolution of the Correlations between Supermassive Black Holes and their Host Galaxies using Eight Strongly Lensed Quasars; Ding et al. 2020
- Quasar host galaxy decomposition with lensed quasars.
- A local baseline of the black hole mass scaling relations for active galaxies. IV. Correlations between MBH and host galaxy σ, stellar mass, and luminosity; Bennert et al. 2021
- Detailed measurement of galaxy morphology, decomposing in spheroid, disk and bar, and central AGN
- The Sizes of Quasar Host Galaxies with the Hyper Suprime-Cam Subaru Strategic Program; Li et al. 2021a
- Quasar-host decomposition of 5000 SDSS quasars
- The eROSITA Final Equatorial-Depth Survey (eFEDS): A multiwavelength view of WISE mid-infrared galaxies/active galactic nuclei; Toba et al. 2021
- Quasar-host decomposition of HSC imaging
- Synchronized Co-evolution between Supermassive Black Holes and Galaxies Over the Last Seven Billion Years as Revealed by the Hyper Suprime-Cam; Li et al. 2021b
- Quasar-host decomposition of SDSS quasars with HSC data
- Evidence for a milli-parsec separation Supermassive Black Hole Binary with quasar microlensing; Millon et al. 2022
- Using lenstronomy to generate the microlensed images of the accretion disk
- lensingGW: a Python package for lensing of gravitational waves; Pagano et al. 2020
- A Python package designed to handle both strong and microlensing of compact binaries and the related gravitational-wave signals.
- Localizing merging black holes with sub-arcsecond precision using gravitational-wave lensing; Hannuksela et al. 2020
- solving the lens equation with lenstronomy using lensingGW
- Lensing magnification: gravitational wave from coalescing stellar-mass binary black holes; Shan & Hu 2020
- lensing magnification calculations
- Identifying Type-II Strongly-Lensed Gravitational-Wave Images in Third-Generation Gravitational-Wave Detectors; Y. Wang et al. 2021
- solving the lens equation
- Beyond the detector horizon: Forecasting gravitational-wave strong lensing; Renske et al. 2021
- computing image positions, time delays and magnifications for gravitational wave forecasting
- A lensing multi-messenger channel: Combining LIGO-Virgo-Kagra lensed gravitational-wave measurements with Euclid observations; Wempe et al. 2022
- simulating Euclid-like simulations using lenstronomy and presenting a fast method to cacluate caustics for a PEMD+Shear model
- Line-of-sight effects in strong lensing: putting theory into practice; Birrer et al. 2017a
- This paper formulates an effective parameterization of line-of-sight structure for strong gravitational lens modelling and applies this technique to an Einstein ring in the COSMOS field
- Cosmic Shear with Einstein Rings; Birrer et al. 2018a
- Forecast paper to measure cosmic shear with Einstein ring lenses. The forecast is made based on lenstronomy simulations.
- Unified lensing and kinematic analysis for any elliptical mass profile; Shajib 2019
- Provides a methodology to generalize the multi-Gaussian expansion to general elliptical mass and light profiles
- Gravitational lensing formalism in a curved arc basis: A continuous description of observables and degeneracies from the weak to the strong lensing regime; Birrer 2021
- Lensing formalism with curved arc distortion formalism. Link to code repository `here <https://github.com/sibirrer/curved_arcs>`_.
- The LSST DESC DC2 Simulated Sky Survey; LSST Dark Energy Science Collaboration et al. 2020
- Strong lensing simulations produced by SLSprinkler utilizing lenstronomy functionalities
- The impact of mass map truncation on strong lensing simulations; Van de Vyvere et al. 2020
- Uses numerical integration to compute lensing quantities from projected mass maps from simulations.
- Combining strong and weak lensingestimates in the Cosmos field; Kuhn et al. 2020
- inferring cosmic shear with three strong lenses in the COSMOS field
- Predicting future astronomical events using deep learning; Singh et al.
- simulating strongly lensed galaxy merger pairs in time sequence
- Role of the companion lensing galaxy in the CLASS gravitational lens B1152+199; Zhang et al. 2022
- modeling of a double lensed quasar with HST and VLBI data