Galaxy Zoo DESI: Detailed morphology measurements for 8.7M galaxies in the DESI Legacy Imaging Surveys

被引：16

作者：

Walmsley, Mike ^{[1
]}

Geron, Tobias ^{[2
]}

Kruk, Sandor ^{[3
]}

Scaife, Anna M. M. ^{[1
,4
]}

Lintott, Chris ^{[2
]}

Masters, Karen L. ^{[5
]}

Dawson, James M. ^{[6
]}

Dickinson, Hugh ^{[7
]}

Fortson, Lucy ^{[8
,9
]}

Garland, Izzy L. ^{[10
]}

Mantha, Kameswara ^{[8
,9
]}

O'Ryan, David ^{[10
]}

Popp, Jurgen ^{[7
]}

Simmons, Brooke ^{[10
]}

Baeten, Elisabeth M. ^{[11
]}

Macmillan, Christine ^{[11
]}

机构：

[1] Univ Manchester, Jodrell Bank Ctr Astrophys, Dept Phys & Astron, Oxford Rd, Manchester M13 9PL, England

[2] Univ Oxford, Dept Phys, Oxford Astrophys, Denys Wilkinson Bldg,Keble Rd, Oxford OX1 3RH, England

[3] European Space Astron Ctr ESAC, European Space Agcy ESA, Camino Bajo Castillo S-N, E-28692 Villanueva De La Canada, Madrid, Spain

[4] Alan Turing Inst, 96 Euston Rd, London NW1 2DB, England

[5] Haverford Coll, Dept Phys & Astron, 370 Lancaster Ave, Haverford, PA 19041 USA

[6] South African Radio Astron Observ SARAO, Black River Pk North,2 Fir St, ZA-7925 Cape Town, South Africa

[7] Open Univ, Sch Phys Sci, Milton Keynes MK7 6AA, England

[8] Univ Minnesota, Sch Phys & Astron, Minneapolis, MN 55455 USA

[9] Univ Minnesota, Minnesota Inst Astrophys, Minneapolis, MN 55455 USA

[10] Univ Lancaster, Dept Phys, Lancaster LA1 4YB, England

[11] Univ Oxford, Keble Rd, Oxford OX1 3RH, England

来源：

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY | 2023年 / 526卷 / 03期

基金：

英国科学技术设施理事会; 英国科研创新办公室; 美国国家科学基金会;

关键词：

methods: statistical; catalogues; software: data analysis; galaxies: bar; galaxies: general; galaxies: interaction; DATA RELEASE; CLASSIFICATION;

D O I：

10.1093/mnras/stad2919

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

We present detailed morphology measurements for 8.67 million galaxies in the DESI Legacy Imaging Surveys (DECaLS, MzLS, and BASS, plus DES). These are automated measurements made by deep learning models trained on Galaxy Zoo volunteer votes. Our models typically predict the fraction of volunteers selecting each answer to within 5-10 per cent for every answer to every GZ question. The models are trained on newly collected votes for DESI-LS DR8 images as well as historical votes from GZ DECaLS. We also release the newly collected votes. Extending our morphology measurements outside of the previously released DECaLS/SDSS intersection increases our sky coverage by a factor of 4 (5000-19 000 deg2) and allows for full overlap with complementary surveys including ALFALFA and MaNGA.

引用

页码：4768 / 4786

页数：19

共 41 条

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