Photometry of supernovae in an image series : methods and application to the Supernova Legacy Survey (SNLS)
P. Astier, P. El Hage, J. Guy, D. Hardin, M. Betoule, S. Fabbro, N., Fourmanoit, R. Pain, N. Regnault

TL;DR
This paper introduces a new photometry technique for accurately measuring supernova light curves in image series, validated through simulations and applied to the SNLS, improving flux measurement precision and calibration.
Contribution
The paper presents a novel simultaneous PSF photometry method for supernovae in image series, with two implementations and validation, enhancing measurement accuracy and calibration.
Findings
Achieved flux measurement bias less than 1.5 mmag
Demonstrated 0.6% repeatability in bright star PSF fluxes
Measured astrometric positions with 2.4 mas noise floor
Abstract
We present a technique to measure lightcurves of time-variable point sources on a spatially structured background from imaging data. The technique was developed to measure light curves of SNLS supernovae in order to infer their distances. This photometry technique performs simultaneous PSF photometry at the same sky position on an image series. We describe two implementations of the method: one that resamples images before measuring fluxes, and one which does not. In both instances, we sketch the key algorithms involved and present the validation using semi-artificial sources introduced in real images in order to assess the accuracy of the supernova flux measurements relative to that of surrounding stars. We describe the methods required to anchor these PSF fluxes to calibrated aperture catalogs, in order to derive SN magnitudes. We find a marginally significant bias of 2 mmag of the…
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