2022MNRAS.509.2258C -
Mon. Not. R. Astron. Soc., 509, 2258-2268 (2022/January-2)
A simple numerical experiment on the dust temperature bias for Lyman break galaxies at z >= 5.
CHEN Y.Y., HIRASHITA H., WANG W.-H. and NAKAI N.
Abstract (from CDS):
Some studies suggest that the dust temperatures (Td) in high-redshift (z >= 5) Lyman break galaxies (LBGs) are high. However, possible observational bias in Td 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 Atacama Large Millimetre/submillimetre Array (ALMA) is biased in terms of Td. We show that ALMA tends to miss high-Td objects even at total dust luminosity LIR > 1011 L☉. 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 Td and low dust abundance. For ALMA Band 6, there is no tendency of high-Td LBGs being more easily detected in our experiment. Thus, we suggest that the observed trend of high Td in z >= 5 LBGs is real. We also propose that the 450 µm band is useful in further clarifying the dust temperatures. To overcome the current shallowness of 450 µm observations, we examine a future Antarctic 30-m class telescope with a suitable atmospheric condition for wavelengths ≲450~µm, where the detection is not confusion-limited. We find that, with this telescope, an LIR-selected sample with log (LIR/L☉) > 11 is constructed for z >= 5, and detection in the intermediate-M* (stellar mass) range [9 < log (M*/M☉) < 9.5] is much improved, especially at high Td.
Abstract Copyright:
© 2021 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society
Journal keyword(s):
dust, extinction - galaxies: evolution - galaxies: high-redshift - galaxies: statistics - infrared: galaxies - submillimetre: galaxies
Simbad objects:
2
Full paper
View the references in ADS
To bookmark this query, right click on this link: simbad:2022MNRAS.509.2258C and select 'bookmark this link' or equivalent in the popup menu