Data Access
Data Release 3
Data Tables
SAGA DR3 includes the following four data tables, stored in the AAS MRT format. The schema of these tables are available in Appendix C of SAGA Paper III (Mao+ 2024). The content of these tables can be downloaded from this page directly (right click to save/download), or from the ApJ website. Please see below for how to cite and acknowledge SAGA if you use SAGA data in your research.
- (1) 101 Milky Way-mass host galaxies that SAGA has surveyed (Paper III, Table C1)
- (2) Galaxy redshift catalog of 75,704 background galaxies (including about 46,000 taken by SAGA) in the SAGA footprint (Paper III, Table C2)
- (3) 378 SAGA satellites identified across the 101 systems (Paper III, Table C3)
- (4) Likely satellite candidates that do not have reliable redshifts yet (Paper III, Table C4)
Code and Notebooks
You can use astropy to read in the MRT format. Here's an example of reading in the satellite table (Table C3)
from astropy.table import Table saga_satellites = Table.read('https://sagasurvey.org/data/saga-dr3-tableC3.txt', format='ascii.mrt')
We have also published the Python scripts (as Jupyter notebooks) used to generate the figures in SAGA Paper III (Mao+ 2024) and Paper IV (Geha+ 2024). These notebooks are intended as references only. You won't be able to run these notebooks directly, as they use our internal database. The column names in these notebooks also differ from the published data table, but you can download the mapping between the internal and published column names for Tables C1, C2, C3, and C4.
The pipeline that we used to build the SAGA internal database, as described in Sec. 2 and 3 of SAGA Paper III (Mao+ 2024) can be found at github.com/sagasurvey/saga. Note that you do not need this package to for accessing the published data tables.
Citing and acknowledging SAGA DR3
If you use SAGA DR3 data in your research, please cite the relevent papers:
- Paper III: Mao et al. (2024), if you use any SAGA DR3 data/results
- Paper IV: Geha et al. (2024), if you use any SAGA satellite star formation rate measurements
- Paper V: Wang et al. (2024), if you compare with UM-SAGA prediction
- SAGA-bg1: Kado-Fong et al. (2024), if you use any line flux measurements for SAGA satellites
- Paper II: Mao et al. (2021), if you use any SAGA DR2 (Stage II) data/results, or discuss the Survey target selection
- Paper I: Geha et al. (2017), if you use any SAGA DR1 (Stage I) data/results, or discuss the Survey design
In addition, please also acknowledge the SAGA Survey by including the following text in the acknowledgement of your manuscript:
This research used data from the SAGA Survey (Satellites Around Galactic Analogs; sagasurvey.org). The SAGA Survey is a galaxy redshift survey with spectroscopic data obtained by the SAGA Survey team with the Anglo-Australian Telescope, MMT Observatory, Palomar Observatory, W. M. Keck Observatory, and the South African Astronomical Observatory (SAAO). The SAGA Survey also made use of many public data sets, including: imaging data from the Sloan Digital Sky Survey (SDSS), the Dark Energy Survey (DES), the GALEX Survey, and the Dark Energy Spectroscopic Instrument (DESI) Legacy Imaging Surveys, which includes the Dark Energy Camera Legacy Survey (DECaLS), the Beijing-Arizona Sky Survey (BASS), and the Mayall z-band Legacy Survey (MzLS); redshift catalogs from SDSS, DESI, the Galaxy And Mass Assembly (GAMA) Survey, the Prism Multi-object Survey (PRIMUS), the VIMOS Public Extragalactic Redshift Survey (VIPERS), the WiggleZ Dark Energy Survey (WiggleZ), the 2dF Galaxy Redshift Survey (2dFGRS), the HectoMAP Redshift Survey, the HETDEX Source Catalog, the 6dF Galaxy Survey (6dFGS), the Hectospec Cluster Survey (HeCS), the Australian Dark Energy Survey (OzDES), the 2-degree Field Lensing Survey (2dFLenS), and the Las Campanas Redshift Survey (LCRS); HI data from the Arecibo Legacy Fast ALFA Survey (ALFALFA), the FAST all sky HI Survey (FASHI), and HI Parkes All-Sky Survey (HIPASS); and compiled data from the NASA-Sloan Atlas (NSA), the Siena Galaxy Atlas (SGA), the HyperLeda database, and the Extragalactic Distance Database (EDD). The SAGA Survey was supported in part by NSF collaborative grants AST-1517148 and AST-1517422 and Heising–Simons Foundation grant 2019-1402. SAGA Survey's full acknowledgments can be found at https://sagasurvey.org/ack/.
Data Release 2
Data Tables
SAGA Data Release 2 (Stage II) is available as CSV files: host table, satellite table; or as Google Sheets.
Code
You can access the DR2 data sets easily with Python and astropy:
from astropy.table import Table, join saga_hosts = Table.read('https://sagasurvey.org/data/saga_stage2_hosts.csv') saga_sats = Table.read('https://sagasurvey.org/data/saga_stage2_sats.csv') saga_joined = join(saga_sats, saga_hosts, 'INTERNAL_HOSTID', 'left', uniq_col_name='{table_name}{col_name}', table_names=['', 'HOST_'])
Citing and acknowledging SAGA DR2
If you use SAGA Stage II data in your research, please cite Geha et al. (2017, ApJ) and Mao et al. (2021, ApJ), and acknowledge the SAGA Survey:
This research made use of data from the SAGA Survey (sagasurvey.org). The SAGA Survey is a spectroscopic survey with data obtained from the Anglo-Australian Telescope, the MMT Observatory, and the Hale Telescope at Palomar Observatory. The SAGA Survey made use of public imaging data from the Sloan Digital Sky Survey (SDSS), the DESI Legacy Imaging Surveys, and the Dark Energy Survey, and also public redshift catalogs from SDSS, GAMA, WiggleZ, 2dF, OzDES, 6dF, 2dFLenS, and LCRS. The SAGA Survey was supported by NSF collaborative grants AST-1517148 and AST-1517422 and by Heising–Simons Foundation grant 2019-1402.