Articles | Volume 14, issue 10
https://doi.org/10.5194/amt-14-6561-2021
https://doi.org/10.5194/amt-14-6561-2021
Research article
 | 
12 Oct 2021
Research article |  | 12 Oct 2021

Accuracy in starphotometry

Liviu Ivănescu, Konstantin Baibakov, Norman T. O'Neill, Jean-Pierre Blanchet, and Karl-Heinz Schulz

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Cited articles

AiryLab: Measurement Report for Celestron C11 Telescope, Tech. rep., AiryLab, available at: https://www.airylab.com/contenu/mesures/astro/rapport 2012-10002-a.pdf (last access: 21 September 2021), 2012.  a
Albert, J. E.: Satellite-Mounted Light Sources as Photometric Calibration Standards for Ground-Based Telescopes, Astron. J., 143, 8, https://doi.org/10.1088/0004-6256/143/1/8, 2012. a
Alekseeva, G. A.: The determination of atmospheric extinction by the stellar magnitude differences method in stellar spectrophotometry, Izvestiya Glavnoj Astronomicheskoj Observatorii v Pulkove, 198, 18–21, available at: http://adsabs.harvard.edu/abs/1980IzPul.198...18A (last access: 21 September 2021), 1980. a
Alekseeva, G. A., Galkin, V. D., Nikanorova, I. N., and Novikov, V. V.: A Spectrophotometric Catalogue of 60 Selected Southern Stars, Balt. Astron., 3, 361, https://doi.org/10.1515/astro-1994-0405, 1994. a
Alekseeva, G. A., Arkharov, A. A., Galkin, V. D., Hagen-Thorn, E., Nikanorova, I., Novikov, V. V., Novopashenny, V., Pakhomov, V., Ruban, E., and Shchegolev, D.: The Pulkovo Spectrophotometric Catalog of Bright Stars in the Range from 320 TO 1080 NM, Balt. Astron., 5, 603–838, available at: http://adsabs.harvard.edu/abs/1997BaltA...6..481A (last access: 21 September 2021), 1996. a, b, c, d
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Short summary
Starphotometry seeks to provide accurate measures of nocturnal optical depth (OD). It is driven by a need to characterize aerosols and their radiative forcing effects during a very data-sparse period. A sub-0.01 OD error is required to adequately characterize key aerosol parameters. We found approaches for sufficiently mitigating errors to achieve the 0.01 standard. This renders starphotometry the equal of daytime techniques and opens the door to exploiting its distinct star-pointing advantages.