研究目的
To present a deep multiwavelength imaging survey for selecting Lyman-break galaxy candidates at redshift z ≈ 3 using color-selection criteria and to derive their number counts.
研究成果
The survey provides a robust catalog of LBG candidates at z ≈ 3 with deep U-band imaging, leading to a surface density of ～3 LBG candidates per arcmin2 down to R = 25.5. The number counts are steeper than previous studies, indicating more LBGs at faint magnitudes. The dataset is valuable for future spectroscopic follow-up and studies on physical properties of LBGs, such as stellar masses and UV slopes.
研究不足
The survey has different depths and completeness levels across the three fields, with Q0933 being the shallowest. Contamination by interlopers, though minimized, is present, especially at fainter magnitudes. The use of different filters and instruments in comparisons may lead to biases. Cosmic variance of ～20% affects the surface density estimates.
1：Experimental Design and Method Selection:
The study used a deep multiwavelength imaging survey in U, G, and R bands across three fields (Q0933, Q1623, COSMOS) with the Large Binocular Camera (LBC) on the Large Binocular Telescope (LBT). The color-selection criterion (U ? G vs. G ? R) was applied to identify LBG candidates.
2：Sample Selection and Data Sources:
Data were obtained from observations of the three fields, covering a total area of ～1500 arcmin
3：Spectroscopic redshift information was available for two fields (Q0933 and Q1623), and photometric redshifts for COSMOS. List of Experimental Equipment and Materials:
The Large Binocular Telescope (LBT) with the Large Binocular Camera (LBC) was used, including specific filters (e.g., Ubessel, Uspecial, G-Sloan, R-Sloan). Software included Source Extractor for photometry.
4：Experimental Procedures and Operational Workflow:
Data reduction involved bias-subtraction, flat-fielding, sky-subtraction, and co-addition. Photometric catalogs were created using the R-band as the detection image, with aperture corrections applied. Simulations were conducted to estimate completeness and interloper fractions.
5：Data Analysis Methods:
Number counts of galaxies and LBG candidates were derived in magnitude bins. Completeness and contamination were assessed through simulations and comparison with spectroscopic data. A double power law fit was applied to the LBG counts.
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