82 citations · 153 across the 7 of their papers we have counts for
7 papers
When, Where, and How Star Formation Happens in a Galaxy Pair at Cosmic Noon Using CANUCS JWST/NIRISS Grism Spectroscopy
Vicente Estrada-Carpenter, Marcin Sawicki, Gabe Brammer +13
Spatially resolved studies are key to understanding when, where, and how stars form within galaxies. Using slitless grism spectra and broadband imaging from the CAnadian NIRISS Unb…
The Firefly Sparkle: The Earliest Stages of the Assembly of A Milky Way-type Galaxy in a 600 Myr Old Universe
Lamiya Mowla, Kartheik Iyer, Yoshihisa Asada +19
The most distant galaxies detected by JWST are assembling in a Universe that is less than 5\% of its present age. At these times, the progenitors of galaxies like the Milky Way are…
Star Formation at the Epoch of Reionization with CANUCS: The ages of stellar populations in MACS1149-JD1
Maruša Bradač, Victoria Strait, Lamiya Mowla +15
We present measurements of stellar populations properties of a z = 9.1 gravitationally lensed galaxy MACS1149-JD1 using deep JWST NIRISS slitless spectroscopy as well as NIRISS and…
CLEAR: Survey Overview, Data Analysis and Products
Raymond C. Simons, Casey Papovich, Ivelina G. Momcheva +19
We present an overview of the CANDELS Lyman-a Emission At Reionization (CLEAR) survey. CLEAR is a 130 orbit program of the Hubble Space Telescope using the Wide Field Camera 3 (WFC…
The MUSE Ultra Deep Field (MUDF). III. Hubble Space Telescope WFC3 Grism Spectroscopy and Imaging
Mitchell Revalski, Marc Rafelski, Michele Fumagalli +18
We present extremely deep Hubble Space Telescope (HST) Wide Field Camera 3 (WFC3) observations of the MUSE Ultra Deep Field (MUDF). This unique region of the sky contains two quasa…
The Next Generation Deep Extragalactic Exploratory Public (NGDEEP) Survey
Micaela B. Bagley, Nor Pirzkal, Steven L. Finkelstein +45
We present the Next Generation Deep Extragalactic Exploratory Public (NGDEEP) Survey, a deep slitless spectroscopic and imaging Cycle 1 JWST treasury survey designed to constrain f…