Linearized Field Deblending: Point-spread Function Photometry for Impatient Astronomers

@article{Hedges2021LinearizedFD,
  title={Linearized Field Deblending: Point-spread Function Photometry for Impatient Astronomers},
  author={Christina Hedges and Rodrigo Luger and Jorge Mart{\'i}nez-Palomera and Jessie Dotson and Geert Barentsen},
  journal={The Astronomical Journal},
  year={2021},
  volume={162}
}
NASA’s Kepler, K2, and TESS missions employ simple aperture photometry to derive time-series photometry, where an aperture is estimated for each star, and pixels containing each star are summed to create a single light curve. This method is simple, but in crowded fields, the derived time series can be highly contaminated. The alternate method of fitting a point-spread function (PSF) to the data is able to account for crowding but is computationally expensive. In this paper, we present a new… Expand

References

SHOWING 1-10 OF 61 REFERENCES
Finding Optimal Apertures in Kepler Data
TLDR
A new method to optimize the Kepler Simple Aperture Photometry (SAP) photometric apertures for both planet detection and minimization of systematic effects is developed. Expand
PSFs, Photometry, and Astronomy for the ACS/WFC
  • 2021
  • 2021
Multiwavelength Photometry Derived from Monochromatic Kepler Data
The Kepler mission has provided a wealth of data, revealing new insights in time-domain astronomy. However, Kepler’s single bandpass has limited studies to a single wavelength. In this work we buildExpand
SSDataLab / psfmachine : Initial Release with Paper , vv 1 . 0 . 0
  • 2021
SSDataLab/psfmachine: Initial Release with Paper
  • Zenodo
  • 2021
  • 2020
  • 2020
  • 2020
...
1
2
3
4
5
...