Scientific simulators and pipelines form the core of many research projects. Writing high-quality, modular code allows for efficiently scaling a project, but this can be challenging in a research context. Research project goals and solutions to those goals are constantly in flux, requiring many refactoring rounds to meet these changes. The result can be aContinue reading “caskade: building Pythonic scientific simulators”
Author Archives: Connor Stone
Caustics: A Python Package for Accelerated Strong Gravitational Lensing Simulations
Summary: Gravitational lensing is the deflection of light rays due to the gravity of intervening masses. This phenomenon is observed in a variety of scales and configurations, involving any non-uniform mass such as planets, stars, galaxies, clusters of galaxies, and even the large scale structure of the universe. Strong lensing occurs when the distortions areContinue reading “Caustics: A Python Package for Accelerated Strong Gravitational Lensing Simulations”
AstroPhot: Fitting Everything Everywhere All at Once in Astronomical Images
Abstract: We present AstroPhot, a fast, powerful, and user-friendly Python based astronomical image photometry solver. AstroPhot incorporates automatic differentiation and GPU (or parallel CPU) acceleration, powered by the machine learning library PyTorch. Everything: AstroPhot can fit models for sky, stars, galaxies, PSFs, and more in a principled χ2 forward optimization, recovering Bayesian posterior information andContinue reading “AstroPhot: Fitting Everything Everywhere All at Once in Astronomical Images”
PROBES. I. A Compendium of Deep Rotation Curves and Matched Multiband Photometry
Full Article Here We present the Photometry and Rotation Curve Observations from ExtragalacticSurveys (PROBES) compendium of extended rotation curves for 3163 late-typespirals, with matching homogeneous multiband photometry for 1677 of them.PROBES rotation curves originally extracted from Halpha long-slit spectra andaperture synthesis HI (21cm) velocity maps typically extend out to a median2R_e (or 1R_{23.5, r}). OurContinue reading “PROBES. I. A Compendium of Deep Rotation Curves and Matched Multiband Photometry”
AutoProf – I. An automated non-parametric light profile pipeline for modern galaxy surveys
Full Article Here ABSTRACT: We present an automated non-parametric light profile extraction pipeline called AutoProf. All steps for extracting surface brightness profiles are included in AutoProf, allowing streamlined analyses of galaxy images. AutoProf improves upon previous non-parametric ellipse fitting implementations with fit-stabilization procedures adapted from machine learning techniques. Additional advanced analysis methods are included inContinue reading “AutoProf – I. An automated non-parametric light profile pipeline for modern galaxy surveys”
The Intrinsic Scatter of Galaxy Scaling Relations
Full Article Here ABSTRACT: We present a compendium of disk galaxy scaling relations and a detailed characterization of their intrinsic scatter. Observed scaling relations are typically characterized by their slope, intercept, and scatter; however, these parameters are a mixture of observational errors and astrophysical processes. We introduce a novel Bayesian framework for computing the intrinsicContinue reading “The Intrinsic Scatter of Galaxy Scaling Relations”
The Intrinsic Scatter of the Radial Acceleration Relation
Full Article Here ABSTRACT: We present a detailed Monte Carlo model of observational errors in observed galaxy scaling relations to recover the intrinsic (cosmic) scatter driven by galaxy formation and evolution processes. We apply our method to the stellar radial acceleration relation (RAR) which compares the local observed radial acceleration to the local Newtonian radialContinue reading “The Intrinsic Scatter of the Radial Acceleration Relation”
Connor Stone 