Answers are grounded in this paper and cite their sources.
We present the Automated Photometry of Transients (A uto P h OT) package, a novel automated pipeline that is designed for rapid, publication-quality photometry of astronomical transients. A uto P h OT is built from the ground up using P ython 3 – with no dependencies on legacy software. Capabilities of A uto P h OT include aperture and point-spread-function photometry, template subtraction, and calculation of limiting magnitudes through artificial source injection. A uto P h OT is also capable of calibrating photometry against either survey catalogues, or using a custom set of local photometric standards, and is designed primarily for ground-based optical and infrared images. We show that both aperture and point-spread-function photometry from A uto P h OT is consistent with commonly used software, for example, DAOPHOT, and also demonstrate that A uto P h OT can reproduce published light curves for a selection of transients with minimal human intervention.
No takes yet. Share an insight, caveat, or question.
Brennan et al. (2022) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: