分类： 天文学 >> 天文学 提交时间： 2023-02-19
Daniel R. Weisz
Kristen B. W. McQuinn
Alessandro Savino
Nitya Kallivayalil
Jay Anderson
Martha L. Boyer
Matteo Correnti
Marla C. Geha
Andrew E. Dolphin
Karin M. Sandstrom
Andrew A. Cole
Benjamin F. Williams
Evan D. Skillman
Roger E. Cohen
Max J. B. Newman
Rachael Beaton
Alessandro Bressan
Alberto Bolatto
Michael Boylan-Kolchin
Alyson M. Brooks
摘要： We present the JWST Resolved Stellar Populations Early Release Science (ERS) science program. We obtained 27.5 hours of NIRCam and NIRISS imaging of three targets in the Local Group (Milky Way globular cluster M92, ultra-faint dwarf galaxy Draco II, star-forming dwarf galaxy WLM), which span factors of $\sim10^5$ in luminosity, $\sim10^4$ in distance, and $\sim10^5$ in surface brightness. We describe the survey strategy, scientific and technical goals, implementation details, present select NIRCam color-magnitude diagrams (CMDs), and validate the NIRCam exposure time calculator (ETC). Our CMDs are among the deepest in existence for each class of target. They touch the theoretical hydrogen burning limit in M92 ($<0.08$ $M_{\odot}$; SNR $\sim5$ at $m_{F090W}\sim28.2$; $M_{F090W}\sim+13.6$), include the lowest-mass stars observed outside the Milky Way in Draco II (0.09 $M_{\odot}$; SNR $=10$ at $m_{F090W}\sim29$; $M_{F090W}\sim+12.1$), and reach $\sim1.5$ magnitudes below the oldest main sequence turnoff in WLM (SNR $=10$ at $m_{F090W}\sim29.5$; $M_{F090W}\sim+4.6$). The PARSEC stellar models provide a good qualitative match to the NIRCam CMDs, though are $\sim0.05$ mag too blue compared to M92 F090W$-$F150W data. The NIRCam ETC (v2.0) matches the SNRs based on photon noise from DOLPHOT stellar photometry in uncrowded fields, but the ETC may not be accurate in more crowded fields, similar to what is known for HST. We release beta versions of DOLPHOT NIRCam and NIRISS modules to the community. Results from this ERS program will establish JWST as the premier instrument for resolved stellar populations studies for decades to come.
分类： 天文学 >> 天文学 提交时间： 2023-02-19
Elise Darragh-Ford
John F. Wu
Yao-Yuan Mao
Risa H. Wechsler
Marla Geha
Jaime E. Forero-Romero
ChangHoon Hahn
Nitya Kallivayalil
John Moustakas
Ethan O. Nadler
Marta Nowotka
J. E. G. Peek
Erik J. Tollerud
Benjamin Weiner
J. Aguilar
S. Ahlen
D. Brooks
A. P. Cooper
A. de la Macorra
A. Dey
摘要： We introduce the DESI LOW-Z Secondary Target Survey, which combines the wide
area capabilities of the Dark Energy Spectroscopic Instrument (DESI) with an
efficient, low-redshift target selection method. Our selection consists of a
set of color and surface brightness cuts, combined with modern machine learning
methods, to optimally target low-redshift dwarf galaxies (z 95% complete in target
selection at z < 0.03 between 19
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