Systematic biases in determining dust attenuation curves through galaxy SED fitting
Jianbo Qin, Xian Zhong Zheng, Min Fang, Zhizheng Pan, Stijn Wuyts,, Yong Shi, Yingjie Peng, Valentino Gonzalez, Fuyan Bian, Jia-Sheng Huang,, Qiu-Sheng Gu, Wenhao Liu, Qinghua Tan, Dong Dong Shi, Jian Ren, Yuheng Zhang,, Man Qiao, Run Wen, and Shuang Liu

TL;DR
This study investigates how degeneracies in galaxy SED fitting can create artificial correlations between dust attenuation curve slope and attenuation, highlighting the importance of accounting for systematic biases in such analyses.
Contribution
The paper demonstrates that the observed $A_V$--$ extdelta$ relation is primarily caused by fitting degeneracies, not intrinsic galaxy properties, emphasizing the need for careful modeling in SED fitting.
Findings
Degeneracies induce systematic biases in $A_V$--$ extdelta$ relation.
Simulations show the relation can be reproduced without intrinsic correlation.
Assuming constant star formation leads to steeper attenuation curves.
Abstract
While the slope of the dust attenuation curve () is found to correlate with effective dust attenuation () as obtained through spectral energy distribution (SED) fitting, it remains unknown how the fitting degeneracies shape this relation. We examine the degeneracy effects by fitting SEDs of a sample of local star-forming galaxies (SFGs) selected from the Galaxy And Mass Assembly survey, in conjunction with mock galaxy SEDs of known attenuation parameters. A well-designed declining starburst star formation history is adopted to generate model SED templates with intrinsic UV slope () spanning over a reasonably wide range. The best-fitting for our sample SFGs shows a wide coverage, dramatically differing from the limited range of for a starburst of constant star formation. Our results show that strong degeneracies between , ,…
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