Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Spencer Bialek"'
Publikováno v:
Monthly Notices of the Royal Astronomical Society. 498:3817-3834
In the current era of stellar spectroscopic surveys, synthetic spectral libraries are the basis for the derivation of stellar parameters and chemical abundances. In this paper, we compare the stellar parameters determined using five popular synthetic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::264bc800ecd0b595ce2e77d18ae94a48
https://doi.org/10.1093/mnras/staa2582
https://doi.org/10.1093/mnras/staa2582
Autor:
Spencer Bialek, Boris Vojnovic, Dylan Y. Breitkreutz, Christopher Daniel Johnstone, Paul Tsouchlos, Anthony Kavanagh, Zach Rovner, Thilakshan Kanesalingam, Magdalena Bazalova-Carter
Publikováno v:
Medical Physics. 46:2015-2024
The goal of this work was to develop and test a cylindrical tissue-equivalent quality assurance (QA) phantom for micro computed tomography (microCT) image-guided small animal irradiators that overcomes deficiencies of existing phantoms due to its mou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e37d6be7877e4990532a2a74f8918f5
https://doi.org/10.1002/mp.13525
https://doi.org/10.1002/mp.13525
Autor:
Collin Kielty, Stephanie Monty, Spencer Bialek, Teaghan O'Briain, Farbod Jahandar, K. A. Venn, S. Fabbro
Publikováno v:
Monthly Notices of the Royal Astronomical Society. 475:2978-2993
Spectroscopic surveys require fast and efficient analysis methods to maximize their scientific impact. Here we apply a deep neural network architecture to analyze both SDSS-III APOGEE DR13 and synthetic stellar spectra. When our convolutional neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::328edfb4585c118f62b4d3dc03b22dc5
https://doi.org/10.1093/mnras/stx3298
https://doi.org/10.1093/mnras/stx3298
Autor:
Pedro A. Palicio, Thomas G. Wilson, Jonay I. González Hernández, R. Lucchesi, Kim A. Venn, Nicolas F. Martin, Nicolas Longeard, Kristopher Youakim, G. Kordopatis, Yeisson Osorio, Eline Tolstoy, David Aguado, Lee Patrick, Rodrigo A. Ibata, Anke Arentsen, Raymond G. Carlberg, Guillame Thomas, Spencer Bialek, Julio F. Navarro, Federico Sestito, Pascale Jablonka, Rafael Garcia-Dias, Khyati Malhan, Vanessa Hill, Rubén Sánchez-Janssen, Else Starkenburg, Pierre North, Luis Peralta de Arriba, Collin Kielty
Publikováno v:
Monthly Notices of the Royal Astronomical Society: Letters
Monthly Notices of the Royal Astronomical Society: Letters, Oxford Journals, 2020, 497 (1), pp.L7-L12. ⟨10.1093/mnrasl/slaa022⟩
Monthly Notices of the Royal Astronomical Society, 497, L7-L12. Oxford University Press
Monthly Notices of the Royal Astronomical Society: Letters, Oxford Journals, 2020, 497 (1), pp.L7-L12. ⟨10.1093/mnrasl/slaa022⟩
Monthly Notices of the Royal Astronomical Society, 497, L7-L12. Oxford University Press
The orbits of the least chemically enriched stars open a window on the formation of our Galaxy when it was still in its infancy. The common picture is that these low-metallicity stars are distributed as an isotropic, pressure-supported component sinc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c29b92f1353c79da64d3acfc92aaccc
http://arxiv.org/abs/1911.08491
http://arxiv.org/abs/1911.08491
Publikováno v:
The Astrophysical Journal. 906:130
The advancements in stellar spectroscopy data acquisition have made it necessary to accomplish similar improvements in efficient data analysis techniques. Current automated methods for analyzing spectra are either (a) data-driven, which requires prio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95bf8ced9439d2282040c2340e5bd5af
https://doi.org/10.3847/1538-4357/abca96
https://doi.org/10.3847/1538-4357/abca96
Autor:
K. A. Venn, Farbod Jahandar, Stephanie Monty, S. Fabbro, Teaghan O'Briain, Spencer Bialek, Collin Kielty
Publikováno v:
Software and Cyberinfrastructure for Astronomy V.
In an era when spectroscopic surveys are capable of collecting spectra for hundreds of thousands of stars, fast and efficient analysis methods are required to maximize scientific impact. These surveys provide a homogeneous database of stellar spectra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2901f83f6b02c81c02e3bd02c5f79ae0
https://doi.org/10.1117/12.2313544
https://doi.org/10.1117/12.2313544
Autor:
Carmela Lardo, Christopher Sneden, Spencer Bialek, A. Arentsen, S. Fabbro, V. Hill, Jonay I. González Hernández, Julio F. Navarro, K. Youakim, Lyudmila Mashonkina, Nicolas F. Martin, David Aguado, Rubén Sánchez-Janssen, Pascale Jablonka, Federico Sestito, Collin Kielty, Kim A. Venn, Else Starkenburg, G. F. Thomas
Publikováno v:
Monthly Notices of the Royal Astronomical Society
Monthly Notices of the Royal Astronomical Society, Oxford University Press (OUP): Policy P-Oxford Open Option A, 2021, 506 (1), pp.1438-1461. ⟨10.1093/mnras/stab1783⟩
Monthly Notices of the Royal Astronomical Society, 506, 1438-1461. Oxford University Press
Monthly Notices of the Royal Astronomical Society, Oxford University Press (OUP): Policy P-Oxford Open Option A, 2021, 506 (1), pp.1438-1461. ⟨10.1093/mnras/stab1783⟩
Monthly Notices of the Royal Astronomical Society, 506, 1438-1461. Oxford University Press
High-resolution optical spectra of 30 metal-poor stars selected from the \Pristine\ survey are presented, based on observations taken with the Gemini Observatory GRACES spectrograph. Stellar parameters \teff and \logg are determined using a Gaia DR2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27701819aea44eccf12ac0b8af91821c