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arXiv 2604.22012astro-ph.SRastro-ph.EPastro-ph.IM
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SPHEREx任务中用于超冷矮星的光谱管道和光谱库

A SPHEREx Pipeline and Spectral Library for Ultracool Dwarfs

Planétarium de Montréal, Espace pour la Vie(蒙特利尔天文馆,生命空间);Trottier Institute for Research on Exoplanets, Université de Montréal, Département de Physique(特罗蒂埃系外行星研究所,蒙特利尔大学);Department of Astrophysics, American Museum of Natural History(美国自然历史博物馆天体物理学部);School of Physical Sciences, The Open University(开放大学物理科学学院);United States Naval Observatory, Flagstaff Station(美国海军天文台弗拉格斯塔夫站)
Jonathan Gagné, Jacqueline K. Faherty, Azul Ruiz Diaz, Louis-Philippe Coulombe, Thomas P. Bickle, Adam C. Schneider, J. Davy Kirkpatrick, Marc J. Kuchner, Aaron… 展开作者

Jonathan Gagné, Jacqueline K. Faherty, Azul Ruiz Diaz, Louis-Philippe Coulombe, Thomas P. Bickle, Adam C. Schneider, J. Davy Kirkpatrick, Marc J. Kuchner, Aaron M. Meisner, Dan Caselden, Adam J. Burgasser, Sarah Casewell, Easton J. Honaker, Frank Kiwy, Federico Marocco, Daniella C. Bardalez Gagliuffi, Nikolaj Stevnbak Andersen, Lizzeth Ruiz Arroyo, Bruce Baller, Paul Beaulieu, John Bell, Martin Bilsing, Troy K. Bohling, Guillaume Colin, Giovanni Colombo, Sam Deen, Alexandru Dereveanco, Kevin Dixon, Hugo A. Durantini Luca, Deiby Flores, Christoph Franck, Christopher Fulvi, Michael Gallmann, Jean Marc Gantier, Konstantin Glebov, Léopold Gramaize, Leslie K. Hamlet, Ken Hinckley, Kevin Jablonski, Peter A. Jałowiczor, Martin Kabatnik, Peter Kasprowitz, K Ly, David W. Martin, Naoufel Marzak, Alexander McColgan, Neil J. McEwan, Marianne N. Michaels, William Pendrill, Stéphane Perlin, Ben Pumphrey, James Rabe, Henry Raway, Walter Ruben Robledo, David Roser, Animesh Roy, Arttu Sainio, Vincent Schindler, Manfred Schonau, Jö rg Schümann, Karl Selg-Mann, Andrea Serio, Patrick Smith, Andres Stenner, Christopher Tanner, Melina Thévenot, Vinod Thakur, Mayahuel Torres Guerrero, Maurizio Ventura, Nikita V. Voloshin, Jim Walla, Zbigniew Wȩdracki, Bailey Weyandt, Breck Wilhite, Spartacus Zitouni

AI总结:

本文提出了一种专为SPHEREx任务中快速移动点源设计的Python光谱提取工具,构建了6003个超冷矮星的低分辨率光谱数据,显著增加了具有光谱数据的超冷矮星数量,并提供了光谱模板和自动化光谱类型分配工具。

摘要:

我们介绍了一种专为SPHEREx任务中快速移动点源设计的Python光谱光度提取工具,并利用该工具基于SPHEREx快速发布2(QR2)数据,为6003个L0-Y1超冷矮星构建了0.75-5.0 μm低分辨率(λ/Δλ≈50)光谱光度数据产品:2050个已知超冷矮星,3008个已知光度学超冷矮星候选者,以及947个新发现的超冷矮星。这项工作将具有光谱数据的超冷矮星数量从3449个增加到7402个。我们为每种光谱亚型提供了SPHEREx模板,并提供了一套自动分配光谱类型的工具。QR2数据发布生成了大多数具有WISE W2视星等14.0 mag或更亮的天体的光谱光度,其每个光谱通道的信噪比平均高于约10。编译的数据集已公开在https://mocadb.ca,未来数据发布的新光谱编译也将在此处发布。这些新数据显著增加了2.4-5.0 μm窗口现在可访问的亚恒星体数量,使研究最冷褐矮星中关键CNOS承载物种的重要分子化学成为可能。我们标记了2668个超冷矮星为候选年轻褐矮星,250个为候选亚矮星,以及865个可能需要进一步研究的异常天体。本文呈现的SPIFF库为高效确认候选亚恒星体和研究冷褐矮星群体的大气特性提供了可能。

英文摘要:

We present a Python spectrophotometry extraction tool tailored for fast-moving point sources detected in the SPHEREx mission, and use it to construct a set of 0.75-5.0 $μ$m low-resolution ($λ/Δλ\sim 50$) spectrophotometry data products based on the SPHEREx Quick Release 2 (QR2) for a set of 6003 L0-Y1 ultracool dwarfs: 2050 known ultracool dwarfs, 3008 known photometric ultracool dwarf candidates, and 947 newly identified ultracool dwarfs. This work more than doubles the number of ultracool dwarfs with spectroscopy, from 3449 to 7402. We provide SPHEREx templates for each spectral subtype and a set of tools to assign automated spectral types. The QR2 data release generates spectrophotometry with an average signal-to-noise per spectral channel above $\sim$10 for most objects with WISE W2 magnitudes of 14.0 mag and brighter. The compiled data set is made available publicly at https://mocadb.ca, where new spectral compilations from future data releases will also be made available as they are published. These new data provide a significant increase in the number of substellar objects for which the 2.4-5.0 $μ$m window is now accessible, making it possible to probe important molecular chemistry of key CNOS-bearing species for the coolest brown dwarfs. We flag 2668 ultracool dwarfs as candidate young brown dwarfs, 250 as candidate subdwarfs, and 865 as possibly otherwise peculiar for future investigation. The SPIFF library presented here opens the doors to efficient confirmation of candidate substellar objects and follow-up studies of population-level atmospheric properties of cold brown dwarfs.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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