The IceAge ERS Program: Probing Building blocks of Life During the JWST Era

Autor: Mcclure, Melissa K., Adwin Boogert, Harold Linnartz, Beck, Tracy L., Ewine van Dishoeck, Eiichi Egami, Robin Garrod, Gordon, Karl D., Maria Elisabetta Palumbo, Wendy Brown, Helen Fraser, Sergio Ioppolo, Izaskun Jimenez-Serra, Martin McCoustra, Jennifer Noble, Pendleton, Yvonne J., Klaus Pontoppidan, Serena Viti, Chiar, Jean E., Paola Caselli, John Ira Bailey, Jes Jorgensen, Lars Kristensen, Nadia Murillo, Oberg, Karin I., Ers, Iceage Team Collaborators
Jazyk: angličtina
Rok vydání: 2018
Zdroj: McClure, M K, Boogert, A, Linnartz, H, Beck, T L, van Dishoeck, E, Egami, E, Garrod, R, Gordon, K D, Palumbo, M E, Brown, W, Fraser, H, Ioppolo, S, Jimenez-Serra, I, McCoustra, M, Noble, J, Pendleton, Y J, Pontoppidan, K, Viti, S, Chiar, J E, Caselli, P, Bailey, J I, Jorgensen, J, Kristensen, L, Murillo, N, Oberg, K I & IceAge ERS Team Collaborators 2018, ' The IceAge ERS Program: Probing Building blocks of Life During the JWST Era ' . < http://adsabs.harvard.edu/abs/2018AAS...23230203M >
Aarhus University
ISSN: 1500-3000
Popis: Icy grain mantles are the main reservoir for volatile elements in star-forming regions across the Universe, as well as the formation site of pre-biotic complex organic molecules (COMs) seen in our Solar System. Through the IceAge Early Release Science program, we will trace the evolution of pristine and complex ice chemistry in a representative low-mass star-forming region through observations of a: pre-stellar core, Class 0 protostar, Class I protostar, and protoplanetary disk. Comparing high spectral resolution (R~1500-3000) and sensitivity (S/N~100-300) observations from 3 to 15 micron to template spectra, we will map the spatial distribution of ices down to ~20-50 AU in these targets to identify when, and at what visual extinction, the formation of each ice species begins. Such high-resolution spectra will allow us to search for new COMs, as well as distinguish between different ice morphologies, thermal histories, and mixing environments.The analysis of these data will result in science products beneficial to Cycle 2 proposers. A newly updated public laboratory ice database will provide feature identifications for all of the expected ices, while a chemical model fit to the observed ice abundances will be released publically as a grid, with varied metallicity and UV fields to simulate other environments. We will create improved algorithms to extract NIRCAM WFSS spectra in crowded fields with extended sources as well as optimize the defringing of MIRI LRS spectra in order to recover broad spectral features. We anticipate that these resources will be particularly useful for astrochemistry and spectroscopy of fainter, extended targets like star forming regions of the SMC/LMC or more distant galaxies.
Databáze: OpenAIRE
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