Photometry of Outer Solar System Objects from the Dark Energy Survey. I. Photometric Methods, Light-curve Distributions, and Trans-Neptunian Binaries

IF 8.6 1区 物理与天体物理 Q1 ASTRONOMY & ASTROPHYSICS
Pedro H Bernardinelli, Gary M Bernstein, Nicholas Jindal, T.M.C Abbott, M Aguena, F Andrade-Oliveira, J Annis, D Bacon, E Bertin, D Brooks, D.L Burke, A Carnero Rosell, M Carrasco Kind, J Carretero, L.N da Costa, M.E.S Pereira, T.M Davis, S Desai, H.T Diehl, P Doel, S Everett, I Ferrero, D Friedel, J Frieman, J García-Bellido, G Giannini, D Gruen, K Herner, S.R Hinton, D.L Hollowood, K Honscheid, D.J James, K Kuehn, J Mena-Fernández, F Menanteau, R Miquel, R.L.C Ogando, A Pieres, A.A Plazas Malagón, M Raveri, E Sanchez, I Sevilla-Noarbe, M Smith, E Suchyta, G Tarle, C To, A.R Walker, P Wiseman, Y Zhang
{"title":"Photometry of Outer Solar System Objects from the Dark Energy Survey. I. Photometric Methods, Light-curve Distributions, and Trans-Neptunian Binaries","authors":"Pedro H Bernardinelli, Gary M Bernstein, Nicholas Jindal, T.M.C Abbott, M Aguena, F Andrade-Oliveira, J Annis, D Bacon, E Bertin, D Brooks, D.L Burke, A Carnero Rosell, M Carrasco Kind, J Carretero, L.N da Costa, M.E.S Pereira, T.M Davis, S Desai, H.T Diehl, P Doel, S Everett, I Ferrero, D Friedel, J Frieman, J García-Bellido, G Giannini, D Gruen, K Herner, S.R Hinton, D.L Hollowood, K Honscheid, D.J James, K Kuehn, J Mena-Fernández, F Menanteau, R Miquel, R.L.C Ogando, A Pieres, A.A Plazas Malagón, M Raveri, E Sanchez, I Sevilla-Noarbe, M Smith, E Suchyta, G Tarle, C To, A.R Walker, P Wiseman, Y Zhang","doi":"10.3847/1538-4365/acf6bf","DOIUrl":null,"url":null,"abstract":"We report the methods of and initial scientific inferences from the extraction of precision photometric information for the $>800$ trans-Neptunian objects (TNOs) discovered in the images of the Dark Energy Survey (DES). Scene-modelling photometry is used to obtain shot-noise-limited flux measures for each exposure of each TNO, with background sources subtracted. Comparison of double-source fits to the pixel data with single-source fits are used to identify and characterize two binary TNO systems. A Markov Chain Monte Carlo method samples the joint likelihood of the intrinsic colors of each source as well as the amplitude of its flux variation, given the time series of multiband flux measurements and their uncertainties. A catalog of these colors and light curve amplitudes $A$ is included with this publication. We show how to assign a likelihood to the distribution $q(A)$ of light curve amplitudes in any subpopulation. Using this method, we find decisive evidence (i.e. evidence ratio $<0.01$) that cold classical (CC) TNOs with absolute magnitude $6<H_r<8.2$ are more variable than the hot classical (HC) population of the same $H_r$, reinforcing theories that the former form in situ and the latter arise from a different physical population. Resonant and scattering TNOs in this $H_r$ range have variability consistent with either the HC's or CC's. DES TNOs with $H_r<6$ are seen to be decisively less variable than higher-$H_r$ members of any dynamical group, as expected. More surprising is that detached TNOs are decisively less variable than scattering TNOs, which requires them to have distinct source regions or some subsequent differential processing.","PeriodicalId":8588,"journal":{"name":"Astrophysical Journal Supplement Series","volume":"2023 8","pages":"0"},"PeriodicalIF":8.6000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Astrophysical Journal Supplement Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3847/1538-4365/acf6bf","RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
引用次数: 1

Abstract

We report the methods of and initial scientific inferences from the extraction of precision photometric information for the $>800$ trans-Neptunian objects (TNOs) discovered in the images of the Dark Energy Survey (DES). Scene-modelling photometry is used to obtain shot-noise-limited flux measures for each exposure of each TNO, with background sources subtracted. Comparison of double-source fits to the pixel data with single-source fits are used to identify and characterize two binary TNO systems. A Markov Chain Monte Carlo method samples the joint likelihood of the intrinsic colors of each source as well as the amplitude of its flux variation, given the time series of multiband flux measurements and their uncertainties. A catalog of these colors and light curve amplitudes $A$ is included with this publication. We show how to assign a likelihood to the distribution $q(A)$ of light curve amplitudes in any subpopulation. Using this method, we find decisive evidence (i.e. evidence ratio $<0.01$) that cold classical (CC) TNOs with absolute magnitude $6
暗能量巡天中外太阳系天体的光度测定。光度法、光曲线分布和海王星外双星
本文报道了暗能量巡天(DES)图像中发现的>800颗海王星外天体(TNOs)的精确光度信息提取方法和初步科学推论。场景建模测光法用于获得每个TNO每次曝光的短噪声限制通量测量,并减去背景源。利用双源拟合与单源拟合像素数据的比较,对两种二元TNO系统进行了识别和表征。在给定多波段通量测量的时间序列及其不确定性的情况下,马尔可夫链蒙特卡罗方法对每个源的固有颜色及其通量变化幅度的联合似然进行采样。这些颜色和光曲线振幅的目录包含在本出版物中。我们展示了如何在任何亚种群中为光曲线振幅的分布$q(a)$分配似然。利用该方法,我们发现了决定性的证据(即证据比$<0.01$),即绝对星等$6
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Astrophysical Journal Supplement Series
Astrophysical Journal Supplement Series 地学天文-天文与天体物理
CiteScore
14.50
自引率
5.70%
发文量
264
审稿时长
2 months
期刊介绍: The Astrophysical Journal Supplement (ApJS) serves as an open-access journal that publishes significant articles featuring extensive data or calculations in the field of astrophysics. It also facilitates Special Issues, presenting thematically related papers simultaneously in a single volume.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信