paper.bib

@article{mccleary2023lensing,
doi = {10.3847/1538-3881/ace7ca},
url = {https://dx.doi.org/10.3847/1538-3881/ace7ca},
year = {2023},
month = {aug},
publisher = {The American Astronomical Society},
volume = {166},
number = {3},
pages = {134},
author = {Jacqueline E. McCleary and Spencer W. Everett and Mohamed M. Shaaban and Ajay S. Gill and Georgios N. Vassilakis and Eric M. Huff and Richard J. Massey and Steven J. Benton and Anthony M. Brown and Paul Clark and Bradley Holder and Aurelien A. Fraisse and Mathilde Jauzac and William C. Jones and David Lagattuta and Jason S.-Y. Leung and Lun Li and Thuy Vy T. Luu and Johanna M. Nagy and C. Barth Netterfield and Emaad Paracha and Susan F. Redmond and Jason D. Rhodes and Jürgen Schmoll and Ellen Sirks and Sut Ieng Tam},
title = {Lensing in the Blue. II. Estimating the Sensitivity of Stratospheric Balloons to Weak Gravitational Lensing},
journal = {The Astronomical Journal},
abstract = {The Superpressure Balloon-borne Imaging Telescope (SuperBIT) is a diffraction-limited, wide-field, 0.5 m, near-infrared to near-ultraviolet observatory designed to exploit the stratosphere’s space-like conditions. SuperBIT’s 2023 science flight will deliver deep, blue imaging of galaxy clusters for gravitational lensing analysis. In preparation, we have developed a weak-lensing measurement pipeline with modern algorithms for PSF characterization, shape measurement, and shear calibration. We validate our pipeline and forecast SuperBIT survey properties with simulated galaxy cluster observations in SuperBIT’s near-UV and blue bandpasses. We predict imaging depth, galaxy number (source) density, and redshift distribution for observations in SuperBIT’s three bluest filters; the effect of lensing sample selections is also considered. We find that, in three hours of on-sky integration, SuperBIT can attain a depth of b = 26 mag and a total source density exceeding 40 galaxies per square arcminute. Even with the application of lensing-analysis catalog selections, we find b-band source densities between 25 and 30 galaxies per square arcminute with a median redshift of z = 1.1. Our analysis confirms SuperBIT’s capability for weak gravitational lensing measurements in the blue.}
}

@article{doi:10.1177/0278364918784361,
author = {David M Rosen and Luca Carlone and Afonso S Bandeira and John J Leonard},
title ={SE-Sync: A certifiably correct algorithm for synchronization over the special Euclidean group},
journal = {The International Journal of Robotics Research},
volume = {38},
number = {2-3},
pages = {95-125},
year = {2019},
doi = {10.1177/0278364918784361},

URL = { 
        https://doi.org/10.1177/0278364918784361
    
},
eprint = { 
        https://doi.org/10.1177/0278364918784361
    
}
,
    abstract = { Many important geometric estimation problems naturally take the form of synchronization over the special Euclidean group: estimate the values of a set of unknown group elements x1,…,xn∈SE(d) given noisy measurements of a subset of their pairwise relative transforms xi−1xj. Examples of this class include the foundational problems of pose-graph simultaneous localization and mapping (SLAM) (in robotics), camera motion estimation (in computer vision), and sensor network localization (in distributed sensing), among others. This inference problem is typically formulated as a non-convex maximum-likelihood estimation that is computationally hard to solve in general. Nevertheless, in this paper we present an algorithm that is able to efficiently recover certifiably globally optimal solutions of the special Euclidean synchronization problem in a non-adversarial noise regime. The crux of our approach is the development of a semidefinite relaxation of the maximum-likelihood estimation (MLE) whose minimizer provides an exact maximum-likelihood estimate so long as the magnitude of the noise corrupting the available measurements falls below a certain critical threshold; furthermore, whenever exactness obtains, it is possible to verify this fact a posteriori, thereby certifying the optimality of the recovered estimate. We develop a specialized optimization scheme for solving large-scale instances of this semidefinite relaxation by exploiting its low-rank, geometric, and graph-theoretic structure to reduce it to an equivalent optimization problem defined on a low-dimensional Riemannian manifold, and then design a Riemannian truncated-Newton trust-region method to solve this reduction efficiently. Finally, we combine this fast optimization approach with a simple rounding procedure to produce our algorithm, SE-Sync. Experimental evaluation on a variety of simulated and real-world pose-graph SLAM datasets shows that SE-Sync is capable of recovering certifiably globally optimal solutions when the available measurements are corrupted by noise up to an order of magnitude greater than that typically encountered in robotics and computer vision applications, and does so significantly faster than the Gauss–Newton-based approach that forms the basis of current state-of-the-art techniques. }
}

@BOOK{AbsMahSep2008,
 author = "P.-A. Absil and R. Mahony and R. Sepulchre",
 title = "Optimization Algorithms on Matrix Manifolds",
 doi = {10.1515/9781400830244},
 publisher = "Princeton University Press",
 address = "Princeton, NJ",
 year = 2008,
 pages = "xvi+224",
 isbn = "978-0-691-13298-3",
 keywords = "optimization on manifolds, Riemannian optimization, retraction, vector transport",
}

@Book{boumal2023intromanifolds,
  title     = {An introduction to optimization on smooth manifolds},
  author    = {Boumal, Nicolas},
  publisher = {Cambridge University Press},
  year      = {2023},
  url       = {https://www.nicolasboumal.net/book},
  doi       = {10.1017/9781009166164}
}

@article{Bergmann2022,
    Author    = {Ronny Bergmann},
    Doi       = {10.21105/joss.03866},
    Journal   = {Journal of Open Source Software},
    Number    = {70},
    Pages     = {3866},
    Publisher = {The Open Journal},
    Title     = {Manopt.jl: Optimization on Manifolds in {J}ulia},
    Volume    = {7},
    Year      = {2022},
}

@article{Mogensen2018, doi = {10.21105/joss.00615}, url = {https://doi.org/10.21105/joss.00615}, year = {2018}, publisher = {The Open Journal}, volume = {3}, number = {24}, pages = {615}, author = {Patrick K. Mogensen and Asbjørn N. Riseth}, title = {Optim: A mathematical optimization package for Julia}, journal = {Journal of Open Source Software} } 

@article{RevelsLubinPapamarkou2016,
    title = {Forward-Mode Automatic Differentiation in {J}ulia},
   author = {{Revels}, J. and {Lubin}, M. and {Papamarkou}, T.},
  journal = {arXiv:1607.07892 [cs.MS]},
     year = {2016},
     Doi = {10.48550/arXiv.1607.07892},
      url = {https://arxiv.org/abs/1607.07892}
}

@article{innes:2018,
  author    = {Mike Innes},
  title     = {Flux: Elegant Machine Learning with Julia},
  journal   = {Journal of Open Source Software},
  year      = {2018},
  doi       = {10.21105/joss.00602},
}

@article{Bernstein_2002,
doi = {10.1086/338085},
url = {https://dx.doi.org/10.1086/338085},
year = {2002},
month = {feb},
publisher = {},
volume = {123},
number = {2},
pages = {583},
author = {G. M. Bernstein and M. Jarvis},
title = {Shapes and Shears, Stars and Smears: Optimal Measurements for Weak Lensing},
journal = {The Astronomical Journal},
abstract = {We present the theoretical and analytical bases of optimal techniques to measure weak gravitational shear from images of galaxies. We first characterize the geometric space of shears and ellipticity and then use this geometric interpretation to analyze images. The steps of this analysis include measurement of object shapes on images, combining measurements of a given galaxy on different images, estimating the underlying shear from an ensemble of galaxy shapes, and compensating for the systematic effects of image distortion, bias from point-spread function (PSF) asymmetries, and "dilution" of the signal by the seeing. These methods minimize the ellipticity measurement noise, provide calculable shear uncertainty estimates, and allow removal of systematic contamination by PSF effects to arbitrary precision. Galaxy images and PSFs are expressed as "Laguerre expansions," a two-dimensional generalization of the Edgeworth expansion, making the PSF correction and shape measurement relatively straightforward and computationally efficient. We also discuss sources of noise-induced bias in weak-lensing measurements—selection biases, and "centroid" biases arising from noise rectification—and provide a solution for these and previously identified biases.}
}

@article{Jarvis_2020,
	doi = {10.1093/mnras/staa3679},
  
	url = {https://doi.org/10.1093%2Fmnras%2Fstaa3679},
  
	year = 2020,
	month = {nov},
  
	publisher = {Oxford University Press ({OUP})},
  
	volume = {501},
  
	number = {1},
  
	pages = {1282--1299},
  
	author = {M Jarvis and G M Bernstein and A Amon and C Davis and P F L{\'{e}
}get and K Bechtol and I Harrison and M Gatti and A Roodman and C Chang and R Chen and A Choi and S Desai and A Drlica-Wagner and D Gruen and R A Gruendl and A Hernandez and N MacCrann and J Meyers and A Navarro-Alsina and S Pandey and A A Plazas and L F Secco and E Sheldon and M A Troxel and S Vorperian and K Wei and J Zuntz and T M C Abbott and M Aguena and S Allam and S Avila and S Bhargava and S L Bridle and D Brooks and A Carnero~Rosell and M Carrasco~Kind and J Carretero and M Costanzi and L N da~Costa and J De~Vicente and H T Diehl and P Doel and S Everett and B Flaugher and P Fosalba and J Frieman and J Garc{\'{\i}}a-Bellido and E Gaztanaga and D W Gerdes and G Gutierrez and S R Hinton and D L Hollowood and K Honscheid and D J James and S Kent and K Kuehn and N Kuropatkin and O Lahav and M A G Maia and M March and J L Marshall and P Melchior and F Menanteau and R Miquel and R L C Ogando and F Paz-Chinch{\'{o}}n and E S Rykoff and E Sanchez and V Scarpine and M Schubnell and S Serrano and I Sevilla-Noarbe and M Smith and E Suchyta and M E C Swanson and G Tarle and T N Varga and A R Walker and W Wester and R D Wilkinson and},
  
	title = {Dark Energy Survey year 3 results: point spread function modelling},
  
	journal = {Monthly Notices of the Royal Astronomical Society}
}


@article{casey2023cosmosweb,
doi = {10.3847/1538-4357/acc2bc},
url = {https://dx.doi.org/10.3847/1538-4357/acc2bc},
year = {2023},
month = {aug},
publisher = {The American Astronomical Society},
volume = {954},
number = {1},
pages = {31},
author = {Caitlin M. Casey and Jeyhan S. Kartaltepe and Nicole E. Drakos and Maximilien Franco and Santosh Harish and Louise Paquereau and Olivier Ilbert and Caitlin Rose and Isabella G. Cox and James W. Nightingale and Brant E. Robertson and John D. Silverman and Anton M. Koekemoer and Richard Massey and Henry Joy McCracken and Jason Rhodes and Hollis B. Akins and Natalie Allen and Aristeidis Amvrosiadis and Rafael C. Arango-Toro and Micaela B. Bagley and Angela Bongiorno and Peter L. Capak and Jaclyn B. Champagne and Nima Chartab and Óscar A. Chávez Ortiz and Katherine Chworowsky and Kevin C. Cooke and Olivia R. Cooper and Behnam Darvish and Xuheng Ding and Andreas L. Faisst and Steven L. Finkelstein and Seiji Fujimoto and Fabrizio Gentile and Steven Gillman and Katriona M. L. Gould and Ghassem Gozaliasl and Christopher C. Hayward and Qiuhan He and Shoubaneh Hemmati and Michaela Hirschmann and Knud Jahnke and Shuowen Jin and Ali Ahmad Khostovan and Vasily Kokorev and Erini Lambrides and Clotilde Laigle and Rebecca L. Larson and Gene C. K. Leung and Daizhong Liu and Tobias Liaudat and Arianna S. Long and Georgios Magdis and Guillaume Mahler and Vincenzo Mainieri and Sinclaire M. Manning and Claudia Maraston and Crystal L. Martin and Jacqueline E. McCleary and Jed McKinney and Conor J. R. McPartland and Bahram Mobasher and Rohan Pattnaik and Alvio Renzini and R. Michael Rich and David B. Sanders and Zahra Sattari and Diana Scognamiglio and Nick Scoville and Kartik Sheth and Marko Shuntov and Martin Sparre and Tomoko L. Suzuki and Margherita Talia and Sune Toft and Benny Trakhtenbrot and C. Megan Urry and Francesco Valentino and Brittany N. Vanderhoof and Eleni Vardoulaki and John R. Weaver and Katherine E. Whitaker and Stephen M. Wilkins and Lilan Yang and Jorge A. Zavala},
title = {COSMOS-Web: An Overview of the JWST Cosmic Origins Survey},
journal = {The Astrophysical Journal},
abstract = {We present the survey design, implementation, and outlook for COSMOS-Web, a 255 hr treasury program conducted by the James Webb Space Telescope in its first cycle of observations. COSMOS-Web is a contiguous 0.54 deg2 NIRCam imaging survey in four filters (F115W, F150W, F277W, and F444W) that will reach 5σ point-source depths ranging ∼27.5–28.2 mag. In parallel, we will obtain 0.19 deg2 of MIRI imaging in one filter (F770W) reaching 5σ point-source depths of ∼25.3–26.0 mag. COSMOS-Web will build on the rich heritage of multiwavelength observations and data products available in the COSMOS field. The design of COSMOS-Web is motivated by three primary science goals: (1) to discover thousands of galaxies in the Epoch of Reionization (6 ≲ z ≲ 11) and map reionization’s spatial distribution, environments, and drivers on scales sufficiently large to mitigate cosmic variance, (2) to identify hundreds of rare quiescent galaxies at z > 4 and place constraints on the formation of the universe’s most-massive galaxies (M ⋆ > 1010 M ⊙), and (3) directly measure the evolution of the stellar-mass-to-halo-mass relation using weak gravitational lensing out to z ∼ 2.5 and measure its variance with galaxies’ star formation histories and morphologies. In addition, we anticipate COSMOS-Web’s legacy value to reach far beyond these scientific goals, touching many other areas of astrophysics, such as the identification of the first direct collapse black hole candidates, ultracool subdwarf stars in the Galactic halo, and possibly the identification of z > 10 pair-instability supernovae. In this paper we provide an overview of the survey’s key measurements, specifications, goals, and prospects for new discovery.}
}

@inproceedings{10.1117/12.489103,
author = {Marcia J. Rieke and Stefi Alison Baum and Charles A. Beichman and David Crampton and Rene Doyon and Daniel Eisenstein and Thomas P. Greene and Klaus-Werner Hodapp and Scott D. Horner and Doug Johnstone and Lawrence Lesyna and Simon Lilly and Michael Meyer and Peter Martin and Donald W. McCarthy Jr. and George H. Rieke and Thomas L. Roellig and John Stauffer and John T. Trauger and Erick T. Young},
title = {{NGST NIRCam scientific program and design concept}},
volume = {4850},
booktitle = {IR Space Telescopes and Instruments},
editor = {John C. Mather},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {478 -- 485},
keywords = {Next Generation Space Telescope, near-infrared camera},
year = {2003},
doi = {10.1117/12.489103},
URL = {https://doi.org/10.1117/12.489103}
}

@inproceedings{10.1117/12.925447,
author = {Charles A. Beichman and Marcia Rieke and Daniel Eisenstein and Thomas P. Greene and John Krist and Don McCarthy and Michael Meyer and John Stansberry},
title = {{Science opportunities with the near-IR camera (NIRCam) on the James Webb Space Telescope (JWST)}},
volume = {8442},
booktitle = {Space Telescopes and Instrumentation 2012: Optical, Infrared, and Millimeter Wave},
editor = {Mark C. Clampin and Giovanni G. Fazio and Howard A. MacEwen and Jacobus M. Oschmann Jr.},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {84422N},
keywords = {Infrared, James Webb Space Telescope (JWST), planets, solar system, galaxies, star formation, infrared detectors},
year = {2012},
doi = {10.1117/12.925447},
URL = {https://doi.org/10.1117/12.925447}
}

@article{Rieke_2023,
    author = {Marcia J. Rieke and Douglas M. Kelly and Karl Misselt and John Stansberry and Martha Boyer and Thomas Beatty and Eiichi Egami and Michael Florian and Thomas P. Greene and Kevin Hainline and Jarron Leisenring and Thomas Roellig and Everett Schlawin and Fengwu Sun and Lee Tinnin and Christina C. Williams and Christopher N. A. Willmer and Debra Wilson and Charles R. Clark and Scott Rohrbach and Brian Brooks and Alicia Canipe and Matteo Correnti and Audrey DiFelice and Mario Gennaro and Julian Girard and George Hartig and Bryan Hilbert and Anton M. Koekemoer and Nikolay K. Nikolov and Norbert Pirzkal and Armin Rest and Massimo Robberto and Ben Sunnquist and Randal Telfer and Chi Rai Wu and Malcolm Ferry and Dan Lewis and Stefi Baum and Charles Beichman and René Doyon and Alan Dressler and Daniel J. Eisenstein and Laura Ferrarese and Klaus Hodapp and Scott Horner and Daniel T. Jaffe and Doug Johnstone and John Krist and Peter Martin and Donald W. McCarthy and Michael Meyer and George H. Rieke and John Trauger and Erick T. Young},
    title = {Performance of NIRCam on JWST in Flight},
    journal = {Publications of the Astronomical Society of the Pacific},
    year = {2023},
    volume = {135},
    number = {1044},
    pages = {028001},
    month = {feb},
    publisher = {The Astronomical Society of the Pacific},
    doi = {10.1088/1538-3873/acac53},
    url = {https://dx.doi.org/10.1088/1538-3873/acac53},
    abstract = {The Near Infrared Camera for the James Webb Space Telescope (JWST) is delivering the imagery that astronomers have hoped for ever since JWST was proposed back in the 1990s. In the Commissioning Period that extended from right after launch to early 2022 July, NIRCam has been subjected to a number of performance tests and operational checks. The camera is exceeding prelaunch expectations in virtually all areas, with very few surprises discovered in flight. NIRCam also delivered the imagery needed by the Wavefront Sensing Team for use in aligning the telescope mirror segments.}
}

@ARTICLE{2015AJ,
   author = {Flaugher, B. and Diehl, H.~T. and Honscheid, K. and Abbott, T.~M.~C. and others},
   title = {The Dark Energy Camera},
   journal = {AJ},
   year = {2015},
   volume = {150},
   pages = {150},
   doi = {10.1088/0004-6256/150/5/150},
   archivePrefix = {arXiv},
   eprint = {1504.02900},
   primaryClass = {astro-ph.IM},
   adsurl = {https://ui.adsabs.harvard.edu/abs/2015AJ....150..150F},
   adsnote = {Provided by the SAO/NASA Astrophysics Data System},
   keywords = {atlases, catalogs, cosmology: observations, instrumentation: detectors, instrumentation: photometers, surveys}
}

@ARTICLE{2022ApJ,
       author = {{Astropy Collaboration} and {Price-Whelan}, Adrian M. and {Lim}, Pey Lian and {Earl}, Nicholas and {Starkman}, Nathaniel and {Bradley}, Larry and {Shupe}, David L. and {Patil}, Aarya A. and {Corrales}, Lia and {Brasseur}, C.~E. and {N{\"o}the}, Maximilian and {Donath}, Axel and {Tollerud}, Erik and {Morris}, Brett M. and {Ginsburg}, Adam and {Vaher}, Eero and {Weaver}, Benjamin A. and {Tocknell}, James and {Jamieson}, William and {van Kerkwijk}, Marten H. and {Robitaille}, Thomas P. and {Merry}, Bruce and {Bachetti}, Matteo and {G{\"u}nther}, H. Moritz and {Aldcroft}, Thomas L. and {Alvarado-Montes}, Jaime A. and {Archibald}, Anne M. and {B{\'o}di}, Attila and {Bapat}, Shreyas and {Barentsen}, Geert and {Baz{\'a}n}, Juanjo and {Biswas}, Manish and {Boquien}, M{\'e}d{\'e}ric and {Burke}, D.~J. and {Cara}, Daria and {Cara}, Mihai and {Conroy}, Kyle E. and {Conseil}, Simon and {Craig}, Matthew W. and {Cross}, Robert M. and {Cruz}, Kelle L. and {D'Eugenio}, Francesco and {Dencheva}, Nadia and {Devillepoix}, Hadrien A.~R. and {Dietrich}, J{\"o}rg P. and {Eigenbrot}, Arthur Davis and {Erben}, Thomas and {Ferreira}, Leonardo and {Foreman-Mackey}, Daniel and {Fox}, Ryan and {Freij}, Nabil and {Garg}, Suyog and {Geda}, Robel and {Glattly}, Lauren and {Gondhalekar}, Yash and {Gordon}, Karl D. and {Grant}, David and {Greenfield}, Perry and {Groener}, Austen M. and {Guest}, Steve and {Gurovich}, Sebastian and {Handberg}, Rasmus and {Hart}, Akeem and {Hatfield-Dodds}, Zac and {Homeier}, Derek and {Hosseinzadeh}, Griffin and {Jenness}, Tim and {Jones}, Craig K. and {Joseph}, Prajwel and {Kalmbach}, J. Bryce and {Karamehmetoglu}, Emir and {Ka{\l}uszy{\'n}ski}, Miko{\l}aj and {Kelley}, Michael S.~P. and {Kern}, Nicholas and {Kerzendorf}, Wolfgang E. and {Koch}, Eric W. and {Kulumani}, Shankar and {Lee}, Antony and {Ly}, Chun and {Ma}, Zhiyuan and {MacBride}, Conor and {Maljaars}, Jakob M. and {Muna}, Demitri and {Murphy}, N.~A. and {Norman}, Henrik and {O'Steen}, Richard and {Oman}, Kyle A. and {Pacifici}, Camilla and {Pascual}, Sergio and {Pascual-Granado}, J. and {Patil}, Rohit R. and {Perren}, Gabriel I. and {Pickering}, Timothy E. and {Rastogi}, Tanuj and {Roulston}, Benjamin R. and {Ryan}, Daniel F. and {Rykoff}, Eli S. and {Sabater}, Jose and {Sakurikar}, Parikshit and {Salgado}, Jes{\'u}s and {Sanghi}, Aniket and {Saunders}, Nicholas and {Savchenko}, Volodymyr and {Schwardt}, Ludwig and {Seifert-Eckert}, Michael and {Shih}, Albert Y. and {Jain}, Anany Shrey and {Shukla}, Gyanendra and {Sick}, Jonathan and {Simpson}, Chris and {Singanamalla}, Sudheesh and {Singer}, Leo P. and {Singhal}, Jaladh and {Sinha}, Manodeep and {Sip{\H{o}}cz}, Brigitta M. and {Spitler}, Lee R. and {Stansby}, David and {Streicher}, Ole and {{\v{S}}umak}, Jani and {Swinbank}, John D. and {Taranu}, Dan S. and {Tewary}, Nikita and {Tremblay}, Grant R. and {de Val-Borro}, Miguel and {Van Kooten}, Samuel J. and {Vasovi{\'c}}, Zlatan and {Verma}, Shresth and {de Miranda Cardoso}, Jos{\'e} Vin{\'\i}cius and {Williams}, Peter K.~G. and {Wilson}, Tom J. and {Winkel}, Benjamin and {Wood-Vasey}, W.~M. and {Xue}, Rui and {Yoachim}, Peter and {Zhang}, Chen and {Zonca}, Andrea and {Astropy Project Contributors}},
       title = "{The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package}",
      journal = {\apj},
     keywords = {Astronomy software, Open source software, Astronomy data analysis, 1855, 1866, 1858, Astrophysics - Instrumentation and Methods for Astrophysics},
         year = 2022,
        month = aug,
       volume = {935},
       number = {2},
          eid = {167},
        pages = {167},
          doi = {10.3847/1538-4357/ac7c74},
archivePrefix = {arXiv},
       eprint = {2206.14220},
 primaryClass = {astro-ph.IM},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2022ApJ...935..167A},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@article{rowe2015galsim,
title = {GalSim: The modular galaxy image simulation toolkit},
journal = {Astronomy and Computing},
volume = {10},
pages = {121-150},
year = {2015},
issn = {2213-1337},
doi = {10.1016/j.ascom.2015.02.002},
url = {https://www.sciencedirect.com/science/article/pii/S221313371500013X},
author = {B.T.P. Rowe and M. Jarvis and R. Mandelbaum and G.M. Bernstein and J. Bosch and M. Simet and J.E. Meyers and T. Kacprzak and R. Nakajima and J. Zuntz and H. Miyatake and J.P. Dietrich and R. Armstrong and P. Melchior and M.S.S. Gill},
keywords = {Methods: data analysis, Techniques: image processing, Gravitational lensing, Cosmology: observations},
abstract = {GalSim is a collaborative, open-source project aimed at providing an image simulation tool of enduring benefit to the astronomical community. It provides a software library for generating images of astronomical objects such as stars and galaxies in a variety of ways, efficiently handling image transformations and operations such as convolution and rendering at high precision. We describe the GalSim software and its capabilities, including necessary theoretical background. We demonstrate that the performance of GalSim meets the stringent requirements of high precision image analysis applications such as weak gravitational lensing, for current datasets and for the Stage IV dark energy surveys of the Large Synoptic Survey Telescope, ESA’s Euclid mission, and NASA’s WFIRST-AFTA mission. The GalSim project repository is public and includes the full code history, all open and closed issues, installation instructions, documentation, and wiki pages (including a Frequently Asked Questions section). The GalSim repository can be found at https://github.com/GalSim-developers/GalSim.}
}

@MISC{2013ascl.soft01001B,
       author = {{Bertin}, Emmanuel},
        title = "{PSFEx: Point Spread Function Extractor}",
     keywords = {Software},
 howpublished = {Astrophysics Source Code Library, record ascl:1301.001},
         year = 2013,
        month = jan,
          eid = {ascl:1301.001},
        pages = {ascl:1301.001},
archivePrefix = {ascl},
       doi={10.1051/aas:1996164},
       eprint = {1301.001},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2013ascl.soft01001B},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@INPROCEEDINGS{2011ASPC,
       author = {{Bertin}, E.},
        title = "{Automated Morphometry with SExtractor and PSFEx}",
    booktitle = {Astronomical Data Analysis Software and Systems XX},
         year = 2011,
       editor = {{Evans}, I.~N. and {Accomazzi}, A. and {Mink}, D.~J. and {Rots}, A.~H.},
       series = {Astronomical Society of the Pacific Conference Series},
       volume = {442},
       doi={10.1051/aas:1996164},
        month = jul,
        pages = {435},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2011ASPC..442..435B},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@INPROCEEDINGS{2014SPIE,
       author = {{Perrin}, Marshall D. and {Sivaramakrishnan}, Anand and {Lajoie}, Charles-Philippe and {Elliott}, Erin and {Pueyo}, Laurent and {Ravindranath}, Swara and {Albert}, Loic.},
        title = "{Updated point spread function simulations for JWST with WebbPSF}",
    booktitle = {Space Telescopes and Instrumentation 2014: Optical, Infrared, and Millimeter Wave},
         year = 2014,
       editor = {{Oschmann}, Jacobus M., Jr. and {Clampin}, Mark and {Fazio}, Giovanni G. and {MacEwen}, Howard A.},
       series = {Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series},
       volume = {9143},
        month = aug,
          eid = {91433X},
        pages = {91433X},
          doi = {10.1117/12.2056689},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2014SPIE.9143E..3XP},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@INPROCEEDINGS{2012SPIE,
       author = {{Perrin}, Marshall D. and {Soummer}, R{\'e}mi and {Elliott}, Erin M. and {Lallo}, Matthew D. and {Sivaramakrishnan}, Anand},
        title = "{Simulating point spread functions for the James Webb Space Telescope with WebbPSF}",
    booktitle = {Space Telescopes and Instrumentation 2012: Optical, Infrared, and Millimeter Wave},
         year = 2012,
       editor = {{Clampin}, Mark C. and {Fazio}, Giovanni G. and {MacEwen}, Howard A. and {Oschmann}, Jacobus M., Jr.},
       series = {Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series},
       volume = {8442},
        month = sep,
          eid = {84423D},
        pages = {84423D},
          doi = {10.1117/12.925230},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2012SPIE.8442E..3DP},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@article{Gardner_2006,
	doi = {10.1007/s11214-006-8315-7},
  
	url = {https://doi.org/10.1007%2Fs11214-006-8315-7},
  
	year = 2006,
	month = {apr},
  
	publisher = {Springer Science and Business Media {LLC}
},
  
	volume = {123},
  
	number = {4},
  
	pages = {485--606},
  
	author = {Jonathan P. Gardner and John C. Mather and Mark Clampin and Rene Doyon and Matthew A. Greenhouse and Heidi B. Hammel and John B. Hutchings and Peter Jakobsen and Simon J. Lilly and Knox S. Long and Jonathan I. Lunine and Mark J. Mccaughrean and Matt Mountain and John Nella and George H. Rieke and Marcia J. Rieke and Hans-Walter Rix and Eric P. Smith and George Sonneborn and Massimo Stiavelli and H. S. Stockman and Rogier A. Windhorst and Gillian S. Wright},
  
	title = {The James Webb Space Telescope},
  
	journal = {Space Science Reviews}
}

@ARTICLE{Barnaby2010MNRAS,
       author = {{Rowe}, Barnaby},
        title = "{Improving PSF modelling for weak gravitational lensing using new methods in model selection}",
      journal = {\mnras},
     keywords = {gravitational lensing, methods: data analysis, methods: statistical, cosmology: observations, large-scale structure of Universe, Astrophysics - Cosmology and Extragalactic Astrophysics},
         year = 2010,
        month = may,
       volume = {404},
       number = {1},
        pages = {350-366},
          doi = {10.1111/j.1365-2966.2010.16277.x},
archivePrefix = {arXiv},
       eprint = {0904.3056},
 primaryClass = {astro-ph.CO},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2010MNRAS.404..350R},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{Stetson_1987,
doi = {10.1086/131977},
url = {https://dx.doi.org/10.1086/131977},
year = {1987},
month = {mar},
publisher = {The Astronomical Society of the Pacific},
volume = {99},
number = {613},
pages = {191},
author = {Peter B. Stetson},
title = {DAOPHOT: A COMPUTER PROGRAM FOR CROWDED-FIELD STELLAR PHOTOMETRY},
journal = {Publications of the Astronomical Society of the Pacific},
abstract = {The tasks of the DAOPHOT program, developed to exploit the capability of photometrically linear image detectors to perform stellar photometry in crowded fields, are discussed. Raw CCD images are prepared prior to analysis, and following the obtaining of an initial star list with the FIND program, synthetic aperture photometry is performed on the detected objects with the PHOT routine. A local sky brightness and a magnitude are computed for each star in each of the specified stellar apertures, and for crowded fields, the empirical point-spread function must then be obtained for each data frame. The GROUP routine divides the star list for a given frame into optimum subgroups, and then the NSTAR routine is used to obtain photometry for all the stars in the frame by means of least- squares profile fits. The process is illustrated with images of stars in a crowded field, and shortcomings and possible improvements of the program are considered.}
}

@INPROCEEDINGS{BSPIE,
       author = {{Beichman}, Charles A. and {Rieke}, Marcia and {Eisenstein}, Daniel and {Greene}, Thomas P. and {Krist}, John and {McCarthy}, Don and {Meyer}, Michael and {Stansberry}, John},
        title = "{Science opportunities with the near-IR camera (NIRCam) on the James Webb Space Telescope (JWST)}",
    booktitle = {Space Telescopes and Instrumentation 2012: Optical, Infrared, and Millimeter Wave},
         year = 2012,
       editor = {{Clampin}, Mark C. and {Fazio}, Giovanni G. and {MacEwen}, Howard A. and {Oschmann}, Jacobus M., Jr.},
       series = {Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series},
       volume = {8442},
        month = sep,
          eid = {84422N},
        pages = {84422N},
          doi = {10.1117/12.925447},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2012SPIE.8442E..2NB},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@INPROCEEDINGS{20052005SPIE,
       author = {{Rieke}, Marcia J. and {Kelly}, Douglas and {Horner}, Scott},
        title = "{Overview of James Webb Space Telescope and NIRCam's Role}",
    booktitle = {Cryogenic Optical Systems and Instruments XI},
         year = 2005,
       editor = {{Heaney}, James B. and {Burriesci}, Lawrence G.},
       series = {Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series},
       volume = {5904},
        month = aug,
        pages = {1-8},
          doi = {10.1117/12.615554},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2005SPIE.5904....1R},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@article{lin2023hybpsf,
doi = {10.3847/1538-3881/ad14f7},
url = {https://dx.doi.org/10.3847/1538-3881/ad14f7},
year = {2024},
month = {jan},
publisher = {The American Astronomical Society},
volume = {167},
number = {2},
pages = {58},
author = {Lin Nie and Huanyuan Shan and Guoliang Li and Lei Wang and Cheng Cheng and Charling Tao and Qifan Cui and Yushan Xie and Dezi Liu and Zekang Zhang},
title = {HybPSF: Hybrid Point-spread Function Reconstruction for the Observed JWST NIRCam Image},
journal = {The Astronomical Journal},
abstract = {The James Webb Space Telescope (JWST) marks a new era of astronomical observation and discovery, providing unrivaled precision in various measurements, including photometry, morphology, and shear measurement. Accurate point-spread function (PSF) models are essential for many of these measurements. In this paper, we introduce HybPSF, a hybrid PSF construction method for JWST NIRCam imaging data that combines the WebbPSF software, which simulates the PSF for JWST, with observed data to produce more accurate and reliable PSF models. We apply this method to the SMACS J0723 imaging data and construct supplementary structures from residuals obtained by subtracting the WebbPSF PSF model from the data. Our results show that HybPSF significantly reduces discrepancies between the PSF model and the data compared to WebbPSF. Specifically, the PSF shape parameter ellipticity and size comparisons indicate that HybPSF improves precision by approximately 10 times for R 2 and 50% for e. This improvement has important implications for astronomical measurements using JWST NIRCam imaging data.}
}

@article{TheAstropyCollaboration_2022,
doi = {10.3847/1538-4357/ac7c74},
url = {https://dx.doi.org/10.3847/1538-4357/ac7c74},
year = {2022},
month = {aug},
publisher = {The American Astronomical Society},
volume = {935},
number = {2},
pages = {167},
author = {The Astropy Collaboration and Adrian M. Price-Whelan and Pey Lian Lim and Nicholas Earl and Nathaniel Starkman and Larry Bradley and David L. Shupe and Aarya A. Patil and Lia Corrales and C. E. Brasseur and Maximilian Nöthe and Axel Donath and Erik Tollerud and Brett M. Morris and Adam Ginsburg and Eero Vaher and Benjamin A. Weaver and James Tocknell and William Jamieson and Marten H. van Kerkwijk and Thomas P. Robitaille and Bruce Merry and Matteo Bachetti and H. Moritz Günther and Paper Authors and Thomas L. Aldcroft and Jaime A. Alvarado-Montes and Anne M. Archibald and Attila Bódi and Shreyas Bapat and Geert Barentsen and Juanjo Bazán and Manish Biswas and Médéric Boquien and D. J. Burke and Daria Cara and Mihai Cara and Kyle E Conroy and Simon Conseil and Matthew W. Craig and Robert M. Cross and Kelle L. Cruz and Francesco D’Eugenio and Nadia Dencheva and Hadrien A. R. Devillepoix and Jörg P. Dietrich and Arthur Davis Eigenbrot and Thomas Erben and Leonardo Ferreira and Daniel Foreman-Mackey and Ryan Fox and Nabil Freij and Suyog Garg and Robel Geda and Lauren Glattly and Yash Gondhalekar and Karl D. Gordon and David Grant and Perry Greenfield and Austen M. Groener and Steve Guest and Sebastian Gurovich and Rasmus Handberg and Akeem Hart and Zac Hatfield-Dodds and Derek Homeier and Griffin Hosseinzadeh and Tim Jenness and Craig K. Jones and Prajwel Joseph and J. Bryce Kalmbach and Emir Karamehmetoglu and Mikołaj Kałuszyński and Michael S. P. Kelley and Nicholas Kern and Wolfgang E. Kerzendorf and Eric W. Koch and Shankar Kulumani and Antony Lee and Chun Ly and Zhiyuan Ma and Conor MacBride and Jakob M. Maljaars and Demitri Muna and N. A. Murphy and Henrik Norman and Richard O’Steen and Kyle A. Oman and Camilla Pacifici and Sergio Pascual and J. Pascual-Granado and Rohit R. Patil and Gabriel I Perren and Timothy E. Pickering and Tanuj Rastogi and Benjamin R. Roulston and Daniel F Ryan and Eli S. Rykoff and Jose Sabater and Parikshit Sakurikar and Jesús Salgado and Aniket Sanghi and Nicholas Saunders and Volodymyr Savchenko and Ludwig Schwardt and Michael Seifert-Eckert and Albert Y. Shih and Anany Shrey Jain and Gyanendra Shukla and Jonathan Sick and Chris Simpson and Sudheesh Singanamalla and Leo P. Singer and Jaladh Singhal and Manodeep Sinha and Brigitta M. Sipőcz and Lee R. Spitler and David Stansby and Ole Streicher and Jani Šumak and John D. Swinbank and Dan S. Taranu and Nikita Tewary and Grant R. Tremblay and Miguel de Val-Borro and Samuel J. Van Kooten and Zlatan Vasović and Shresth Verma and José Vinícius de Miranda Cardoso and Peter K. G. Williams and Tom J. Wilson and Benjamin Winkel and W. M. Wood-Vasey and Rui Xue and Peter Yoachim and Chen Zhang and Andrea Zonca and Astropy Project Contributors},
title = {The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package*},
journal = {The Astrophysical Journal},
abstract = {The Astropy Project supports and fosters the development of open-source and openly developed Python packages that provide commonly needed functionality to the astronomical community. A key element of the Astropy Project is the core package astropy, which serves as the foundation for more specialized projects and packages. In this article, we summarize key features in the core package as of the recent major release, version 5.0, and provide major updates on the Project. We then discuss supporting a broader ecosystem of interoperable packages, including connections with several astronomical observatories and missions. We also revisit the future outlook of the Astropy Project and the current status of Learn Astropy. We conclude by raising and discussing the current and future challenges facing the Project.}
}

@misc{zhuang2023characterization,
      title={Characterization of JWST NIRCam PSFs and Implications for AGN+Host Image Decomposition}, 
      author={Ming-Yang Zhuang and Yue Shen},
      year={2023},
      eprint={2304.13776},
      doi={10.48550/arXiv.2304.13776},
      archivePrefix={arXiv},
      primaryClass={astro-ph.GA}
}

@misc{franco2023cosmosweb,
      title={COSMOS-Web: Intrinsically Luminous z$\gtrsim$10 Galaxy Candidates Test Early Stellar Mass Assembly}, 
      author={Caitlin M. Casey and Hollis B. Akins and Marko Shuntov and Olivier Ilbert and Louise Paquereau and Maximilien Franco and Christopher C. Hayward and Steven L. Finkelstein and Michael Boylan-Kolchin and Brant E. Robertson and Natalie Allen and Malte Brinch and Olivia R. Cooper and Xuheng Ding and Nicole E. Drakos and Andreas L. Faisst and Seiji Fujimoto and Steven Gillman and Santosh Harish and Michaela Hirschmann and Shuowen Jin and Jeyhan S. Kartaltepe and Anton M. Koekemoer and Vasily Kokorev and Daizhong Liu and Arianna S. Long and Georgios Magdis and Claudia Maraston and Crystal L. Martin and Henry Joy McCracken and Jed McKinney and Bahram Mobasher and Jason Rhodes and R. Michael Rich and David B. Sanders and John D. Silverman and Sune Toft and Aswin P. Vijayan and John R. Weaver and Stephen M. Wilkins and Lilan Yang and Jorge A. Zavala},
      year={2023},
      eprint={2308.10932},
      archivePrefix={arXiv},
      doi={10.48550/arXiv.2308.10932},
      primaryClass={astro-ph.GA}
}

@article{Stanitzki_2021,
	doi = {10.1007/s41781-021-00053-3},
  
	url = {https://doi.org/10.1007%2Fs41781-021-00053-3},
  
	year = 2021,
	month = {apr},
  
	publisher = {Springer Science and Business Media {LLC}
},
  
	volume = {5},
  
	number = {1},
  
	author = {Marcel Stanitzki and Jan Strube},
  
	title = {Performance of Julia for High Energy Physics Analyses},
  
	journal = {Computing and Software for Big Science}
}

@misc{ji2023jades,
      title={JADES + JEMS: A Detailed Look at the Buildup of Central Stellar Cores and Suppression of Star Formation in Galaxies at Redshifts 3 < z < 4.5}, 
      author={Zhiyuan Ji and Christina C. Williams and Sandro Tacchella and Katherine A. Suess and William M. Baker and Stacey Alberts and Andrew J. Bunker and Benjamin D. Johnson and Brant Robertson and Fengwu Sun and Daniel J. Eisenstein and Marcia Rieke and Michael V. Maseda and Kevin Hainline and Ryan Hausen and George Rieke and Christopher N. A. Willmer and Eiichi Egami and Irene Shivaei and Stefano Carniani and Stephane Charlot and Jacopo Chevallard and Emma Curtis-Lake and Tobias J. Looser and Roberto Maiolino and Chris Willott and Zuyi Chen and Jakob M. Helton and Jianwei Lyu and Erica Nelson and Rachana Bhatawdekar and Kristan Boyett and Lester Sandles},
      year={2023},
      eprint={2305.18518},
      archivePrefix={arXiv},
      doi = {10.48550/arXiv.2305.18518},
      primaryClass={astro-ph.GA}
}

@ARTICLE{2023ApJ942L27S,
       author = {{Santini}, P. and {Fontana}, A. and {Castellano}, M. and {Leethochawalit}, N. and {Trenti}, M. and {Treu}, T. and {Belfiori}, D. and {Birrer}, S. and {Bonchi}, A. and {Merlin}, E. and {Mason}, C. and {Morishita}, T. and {Nonino}, M. and {Paris}, D. and {Polenta}, G. and {Rosati}, P. and {Yang}, L. and {Boyett}, K. and {Bradac}, M. and {Calabr{\`o}}, A. and {Dressler}, A. and {Glazebrook}, K. and {Marchesini}, D. and {Mascia}, S. and {Nanayakkara}, T. and {Pentericci}, L. and {Roberts-Borsani}, G. and {Scarlata}, C. and {Vulcani}, B. and {Wang}, Xin},
        title = "{Early Results from GLASS-JWST. XI. Stellar Masses and Mass-to-light Ratio of z > 7 Galaxies}",
      journal = {\apjl},
     keywords = {High-redshift galaxies, Stellar masses, Mass-to-light ratio, 734, 1614, 1011, Astrophysics - Astrophysics of Galaxies},
         year = 2023,
        month = jan,
       volume = {942},
       number = {2},
          eid = {L27},
        pages = {L27},
          doi = {10.3847/2041-8213/ac9586},
archivePrefix = {arXiv},
       eprint = {2207.11379},
 primaryClass = {astro-ph.GA},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2023ApJ...942L..27S},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@ARTICLE{2022ApJ938L14M,
       author = {{Merlin}, Emiliano and {Bonchi}, Andrea and {Paris}, Diego and {Belfiori}, Davide and {Fontana}, Adriano and {Castellano}, Marco and {Nonino}, Mario and {Polenta}, Gianluca and {Santini}, Paola and {Yang}, Lilan and {Glazebrook}, Karl and {Treu}, Tommaso and {Roberts-Borsani}, Guido and {Trenti}, Michele and {Birrer}, Simon and {Brammer}, Gabriel and {Grillo}, Claudio and {Calabr{\`o}}, Antonello and {Marchesini}, Danilo and {Mason}, Charlotte and {Mercurio}, Amata and {Morishita}, Takahiro and {Strait}, Victoria and {Boyett}, Kristan and {Leethochawalit}, Nicha and {Nanayakkara}, Themiya and {Vulcani}, Benedetta and {Bradac}, Marusa and {Wang}, Xin},
        title = "{Early Results from GLASS-JWST. II. NIRCam Extragalactic Imaging and Photometric Catalog}",
      journal = {\apjl},
     keywords = {Surveys, Photometry, Galaxies, Astronomy image processing, 1671, 1234, 573, 2306, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics},
         year = 2022,
        month = oct,
       volume = {938},
       number = {2},
          eid = {L14},
        pages = {L14},
          doi = {10.3847/2041-8213/ac8f93},
archivePrefix = {arXiv},
       eprint = {2207.11701},
 primaryClass = {astro-ph.GA},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2022ApJ...938L..14M},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@ARTICLE{2022ApJ938L17Y,
       author = {{Yang}, L. and {Morishita}, T. and {Leethochawalit}, N. and {Castellano}, M. and {Calabr{\`o}}, A. and {Treu}, T. and {Bonchi}, A. and {Fontana}, A. and {Mason}, C. and {Merlin}, E. and {Paris}, D. and {Trenti}, M. and {Roberts-Borsani}, G. and {Bradac}, M. and {Vanzella}, E. and {Vulcani}, B. and {Marchesini}, D. and {Ding}, X. and {Nanayakkara}, T. and {Birrer}, S. and {Glazebrook}, K. and {Jones}, T. and {Boyett}, K. and {Santini}, P. and {Strait}, V. and {Wang}, X.},
        title = "{Early Results from GLASS-JWST. V: The First Rest-frame Optical Size-Luminosity Relation of Galaxies at z > 7}",
      journal = {\apjl},
     keywords = {Galaxy evolution, Astrophysics - Astrophysics of Galaxies},
         year = 2022,
        month = oct,
       volume = {938},
       number = {2},
          eid = {L17},
        pages = {L17},
          doi = {10.3847/2041-8213/ac8803},
archivePrefix = {arXiv},
       eprint = {2207.13101},
 primaryClass = {astro-ph.GA},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2022ApJ...938L..17Y},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@ARTICLE{2022ApJ939L28D,
       author = {{Ding}, Xuheng and {Silverman}, John D. and {Onoue}, Masafusa},
        title = "{Opening the Era of Quasar-host Studies at High Redshift with JWST}",
      journal = {\apjl},
     keywords = {Galaxy evolution, AGN host galaxies, Quasars, Active galaxies, 594, 2017, 1319, 17, Astrophysics - Astrophysics of Galaxies},
         year = 2022,
        month = nov,
       volume = {939},
       number = {2},
          eid = {L28},
        pages = {L28},
          doi = {10.3847/2041-8213/ac9c02},
archivePrefix = {arXiv},
       eprint = {2209.03359},
 primaryClass = {astro-ph.GA},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2022ApJ...939L..28D},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@article{michalewicz2023starred,
  title={STARRED: a two-channel deconvolution method with Starlet regularization},
  author={Michalewicz, Kevin and Millon, Martin and Dux, Fr{\'e}d{\'e}ric and Courbin, Fr{\'e}d{\'e}ric},
  journal={Journal of Open Source Software},
  volume={8},
  number={85},
  pages={5340},
  year={2023},
  doi={10.21105/joss.05340}
}