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Found 9 papers, 5 papers with code
Principled point-source detection in collections of astronomical images
We show that the matched filter produces a maximum-likelihood estimate of the brightness of a purported point source, and this leads to a simple way to combine multiple images---taken through the same bandpass filter but with different noise levels and point-spread functions---to produce an optimal point source detection map.
Instrumentation and Methods for Astrophysics
A hybrid Fourier--Real Gaussian Mixture method for fast galaxy--PSF convolution
I present a method for the fast convolution of a model galaxy profile by a point-spread function (PSF) model represented as a pixel grid.
Super-Resolution
Instrumentation and Methods for Astrophysics
A Gaussian Process Model of Quasar Spectral Energy Distributions
We propose a method for combining two sources of astronomical data, spectroscopy and photometry, that carry information about sources of light (e. g., stars, galaxies, and quasars) at extremely different spectral resolutions.
Celeste: Variational inference for a generative model of astronomical images
We present a new, fully generative model of optical telescope image sets, along with a variational procedure for inference.
Towards building a Crowd-Sourced Sky Map
We describe a system that builds a high dynamic-range and wide-angle image of the night sky by combining a large set of input images.
unWISE: unblurred coadds of the WISE imaging
For example, we are photometering the WISE images at the locations of sources detected in the Sloan Digital Sky Survey (York et al. 2000) through forward modeling, and this blurring decreases the available signal-to-noise by effectively broadening the point-spread function.
Instrumentation and Methods for Astrophysics
emcee: The MCMC Hammer
The algorithm behind emcee has several advantages over traditional MCMC sampling methods and it has excellent performance as measured by the autocorrelation time (or function calls per independent sample).
Instrumentation and Methods for Astrophysics Computational Physics Computation
Data analysis recipes: Fitting a model to data
We go through the many considerations involved in fitting a model to data, using as an example the fit of a straight line to a set of points in a two-dimensional plane.
Instrumentation and Methods for Astrophysics Data Analysis, Statistics and Probability
Astrometry.net: Blind astrometric calibration of arbitrary astronomical images
We have built a reliable and robust system that takes as input an astronomical image, and returns as output the pointing, scale, and orientation of that image (the astrometric calibration or WCS information).
Instrumentation and Methods for Astrophysics
