研究目的
Investigating a new method of performing an artificial star test (AST) for crowded field stellar CCD photometry to account for varying photometric quality across the study field.
研究成果
The proposed AST method provides a reliable assessment of object detection and photometry, quantifying photometric errors, photometry confusion limits, and completeness. It is applicable for a wide range of photometric surveys covering areas of high stellar density.
研究不足
The AST procedure requires numerous iterations to have reliable statistical results and becomes computationally expensive.
1：Experimental Design and Method Selection:
The AST method involves placing AST stars in a field to simulate varying crowding conditions without causing self-crowding.
2：Sample Selection and Data Sources:
A rectangular field of 13' ×9' positioned on Leo A was used, with areas of various crowdedness.
3：List of Experimental Equipment and Materials:
Subaru Telescope equipped with a Suprime-Cam mosaic camera.
4：Experimental Procedures and Operational Workflow:
AST stars were placed in the field at a separation of ~7'' between the stars, and the AST was repeated twice with shifted positions. The addstar routine in DAOPHOT implemented in the IRAF software package was used to place AST stars into frames.
5：Data Analysis Methods:
The measured AST stars were used to derive estimates of the completeness of photometry and the photometric accuracy at each location in the studied field.
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