A Large and Precise All-Sky Photometric Standard Star Dataset Across More Than 200 Passbands
Year: 2026
Type: data-paper
Abstract: High-precision photometric standard stars play a key role in enabling accurate photometric calibration and advancing various fields of astronomy. However, due to limitations in calibration methods and the limited availability and underuse of high-precision reference data, existing photometric standard stars may suffer from insufficient numbers, systematic errors exceeding 10 milli-magnitude (mmag), limited photometric band coverage, or incomplete sky coverage, among other issues. To overcome these limitations, we have constructed the largest (over 200 million stars, 1000 times the widely recognized Landolt standards in the same magnitude range), most precise (better than 10 mmag), and most comprehensive (over 200 bands, nearly 40 times the coverage of traditional standards) all-sky standard stars. Based on standards, we have calibrated multiple survey datasets to mmag precision, and subsequently developed a complete sky distribution of stars for the Pan-STARRS system. This database, the BEst STars Database (BEST), is expected to pave the way for achieving mmag-level - or even higher - photometric precision in large-scale surveys, and to play a central role in shaping a high-precision astronomical measurement framework.
Source: Scientific Data
Language: English
Subfield: Instrumentation
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,490
Funders: National Science Foundation, U.S. Department of Energy, Joint Institute for Nuclear Astrophysics - Center for the Evolution of the Elements, National Natural Science Foundation of China, China Postdoctoral Science Foundation, Office of Science, Office of International Science and Engineering, Nuclear Physics
OpenAlex ID: W7125638909
