Photometric calibration methods for wide-field photometric surveys

TL;DR

This paper reviews modern photometric calibration techniques for wide-field surveys, discussing their advantages, limitations, and future prospects for achieving millimagnitude precision in photometric measurements.

Contribution

It provides a comprehensive overview of calibration methods, including classic, hardware/observation-driven, and software/physics-driven approaches, highlighting recent developments and future directions.

Findings

Comparison of calibration methods and their effectiveness

Discussion on achieving millimagnitude precision

Identification of current limitations and future challenges

Abstract

Uniform and accurate photometric calibration plays an important role in the current and next-generation wide-field imaging surveys. Herein, we review the modern photometric calibration methods, including the classic standard star method, "hardware/observation-driven" methods (such as the Ubercalibration, Hypercalibration, and Forward Global Calibration Methods), and "software/physics-driven" methods (e.g., the Stellar Locus Regression, Stellar Locus, and Stellar Color Regression Methods). Further, we discuss their advantages, limitations, and future developments toward millimagnitude precision calibration.