34 citations · 61 across the 27 of their papers we have counts for
12 papers · 1 filter
Simultaneous PSF Matching via Dual Kernel Optimization
Carter Lee Rhea, Pieter Van Dokkum, Roberto Abraham +6
Standard point spread function (PSF) matching algorithms consider one image as the reference and aim to find a convolution kernel such that, when applied to the reference image, th…
Hyrax: An Extensible Framework for Rapid ML Experimentation and Unsupervised Discovery in the Era of Rubin, Roman, and Euclid
Aritra Ghosh, Drew Oldag, Michael Tauraso +29
The NSF-DOE Vera C. Rubin Observatory, Roman Space Telescope, Euclid, and other next-generation surveys will deliver imaging, spectroscopic, and time-domain data at scales that inc…
dfcosmic: A Python package for cosmic ray removal
Carter Lee Rhea, Pieter van Dokkum, Steven R. Janssens +5
Astronomical images often show sharp features that are caused by cosmic ray (CR) hits, hot pixels, or non-Gaussian noise. L.A.Cosmic (van Dokkum 2001) is a widely used edge detecti…
Using Symbolic Regression to Emulate the Radial Fourier Transform of the Sérsic profile for Fast, Accurate and Differentiable Galaxy Profile Fitting
Tim B. Miller, Imad Pasha
Galaxy profile fitting is a ubiquitous technique that provides the backbone for photometric and morphological measurements in modern extragalactic surveys. A recent innovation in p…
dfreproject: A Python package for astronomical reprojection
Carter Lee Rhea, Pieter Van Dokkum, Steven R. Janssens +5
Deep astronomical images are often constructed by digitially stacking many individual sub-exposures. Each sub-exposure is expected to show small differences in the positions of sta…
Realizing the potential of the Dragonfly Spectral Line Mapper: Calibration methods and on-sky performance
Deborah M. Lokhorst, Seery Chen, Imad Pasha +8
The Dragonfly Spectral Line Mapper is an innovative all-refracting telescope designed to carry out ultra-low surface brightness wide-field mapping of visible wavelength line emissi…
Software infrastructure for the highly-distributed semi-autonomous Dragonfly Spectral Line Mapper
Imad Pasha, Seery Chen, Deborah Lokhorst +6
The Dragonfly Spectral Line Mapper (DSLM) is a semi-autonomous, distributed-aperture based telescope design, featuring a modular setup of 120 Canon telephoto lenses, and equal numb…
The Dragonfly Spectral Line Mapper: Completion of the 120-lens array
Seery Chen, Deborah M. Lokhorst, Imad Pasha +7
The Dragonfly Spectral Line Mapper is a mosaic telescope comprising 120 Canon telephoto lenses, based on the design of the Dragonfly Telephoto Array. With a wide field of view, and…
A robust and simple method for filling in masked data in astronomical images
Pieter van Dokkum, Imad Pasha
Astronomical images often have regions with missing or unwanted information, such as bad pixels, bad columns, cosmic rays, masked objects, or residuals from imperfect model subtrac…
A Recipe for Unbiased Background Modeling in Deep Wide-Field Astronomical Images
Qing Liu, Roberto G. Abraham, Peter G. Martin +9
Unbiased sky background modeling is crucial for the analysis of deep wide-field images, but it remains a major challenge in low surface brightness astronomy. Traditional image proc…
The Dragonfly Spectral Line Mapper: Design and First Light
Seery Chen, Deborah M. Lokhorst, Jeff Shen +4
The Dragonfly Spectral Line Mapper (DSLM) is the latest evolution of the Dragonfly Telephoto Array, which turns it into the world's most powerful wide-field spectral line imager. T…
The pathfinder Dragonfly Spectral Line Mapper: Pushing the limits for ultra-low surface brightness spectroscopy
Deborah M. Lokhorst, Seery Chen, Imad Pasha +4
The pathfinder Dragonfly Spectral Line Mapper is a distributed aperture telescope based off of the Dragonfly Telephoto Array with additional instrumentation (the Dragonfly "Filter-…