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In this paper, a total of approximately 2.6 million dwarfs were constructedas standard stars, with an accuracy of about 0.01-0.02 mag for each band, bycombining spectroscopic data from the Large Sky Area Multi-Object FiberSpectroscopic Telescope Data Release 7, photometric data from the correctedGaia Early Data Release 3, and photometric metallicities. Using thespectroscopy based stellar color regression method (SCR method) and thephotometric-based SCR method (SCR' method), we performed the relativecalibration of the Nanshan One-meter Wide-field Telescope imaging data. Basedon the corrected Pan-STARRS DR1 photometry, the absolute calibration was alsoperformed. In the photometric calibration process, we analyzed the dependenceof the calibration zero points on different images (observation time),different gates of the CCD detector, and different CCD positions. We found thatthe stellar flat and the relative gain between different gates depend on time.The amplitude of gain variation in three channels is approximately 0.5%-0.7%relative to the other channel, with a maximum value of 4%. In addition,significant spatial variations of the stellar flat fitting residual are foundand corrected. Using repeated sources in the adjacent images, we checked anddiscovered internal consistency of about 1-2 mmag in all the filters. Using thePS1 magnitudes synthesized by Gaia DR3 BP/RP spectra by the syntheticphotometry method, we found that the photometric calibration uniformity isabout 1-2 mmag for all the bands, at a spatial resolution of 1.3 degree. Adetailed comparison between the spectroscopy-based SCR and photometric-basedSCR method magnitude offsets was performed, and we achieved an internalconsistency precision of about 2 mmag or better with resolutions of 1.3 degreefor all the filters. Which is mainly from the position-dependent errors of theE(B-V) used in SCR' method.

kexue tongbao

Photometric calibration of the Stellar Abundance and Galactic Evolution  Survey (SAGES): Nanshan One-meter Wide-field Telescope g, r, and i band  imaging data