A simple numerical experiment on the dust temperature bias for Lyman break galaxies at $z\gtrsim 5$
Yung Ying Chen, Hiroyuki Hirashita, Wei-Hao Wang, Naomasa Nakai

TL;DR
This study uses numerical experiments to investigate potential observational biases in measuring dust temperatures of high-redshift Lyman break galaxies, finding that observed high dust temperatures are likely genuine.
Contribution
It demonstrates that ALMA observations do not bias against high dust temperatures in $z extgreater5$ LBGs and proposes future observations with a 30-m Antarctic telescope to better measure dust temperatures.
Findings
ALMA tends to miss high-$T_d$ objects at total dust luminosity.
High $T_d$ in $z extgreater5$ LBGs is likely real.
Future 450 μm observations can improve dust temperature measurements.
Abstract
Some studies suggest that the dust temperatures () in high-redshift () Lyman break galaxies (LBGs) are high. However, possible observational bias in is yet to be understood. Thus, we perform a simple test using random realizations of LBGs with various stellar masses, dust temperatures, and dust-to-stellar mass ratios, and examine how the sample detected by ALMA is biased in terms of . We show that ALMA tends to miss high- objects even at total dust luminosity. LBGs are, however, basically selected by the stellar UV luminosity. The dust-temperature bias in a UV-selected sample is complicated because of the competing effects between high and low dust abundance. For ALMA Band 6, there is no tendency of high- LBGs being more easily detected in our experiment. Thus, we suggest that the observed…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAstronomy and Astrophysical Research · Galaxies: Formation, Evolution, Phenomena · Scientific Research and Discoveries
