Mission Overview

WISE + Pan-STARRS1 Source Types and Redshifts with Machine Learning (WISE-PS1-STRM)

 

Primary Investigator: István Szapudi

HLSP Authors: Robert Beck, Curt Dodds

Released: 2022-09-14

Updated: 2022-09-14

Primary Reference(s): Beck et al. 2022

DOI: 10.17909/wf64-kq10

Citations: See ADS Statistics

Read Me

 
Two all-sky projections plot galaxy overdensities.
A representative redshift slice, 0.3 ≤ z ≤ 0 .4 of PS1-STRM and WISE-PS1-STRM for visual comparison. The total number of objects in the latter is less than half of the former. Some PS1 artifacts improved, suggesting higher homogeneity, although some WISE artifacts have become visible. There is a slight “limb darkening” towards the Milky Way due to misidentification of galaxies in crowded star fields. This problem is present in both WISE and PS1, thus we would not expect an improvement.

Overview

WISE-PS1-STRM is a neural network source classification and photometric redshift catalog extracted from a cross-match between the WISE All-Sky and PS1 3π DR2 source catalogs. The resulting catalog has 354,590,570 objects, significantly fewer than the parent PS1 catalog, but its combination of optical and infrared colors facilitate both better source classification and photometric redshift estimation. A neural network classified objects into galaxies, quasars, and stars, then another network estimated photometric redshifts for the galaxies. The star sample purity and quasar sample completeness measures improve substantially, and the resulting photo-z ’s are significantly more accurate in terms of statistical scatter and bias than those calculated from PS1 properties alone. See the README file and the primary reference paper for a detailed description of the catalog metadata.

A related, earlier work using neural networks to classify PS1 sources (without WISE information) can be found as the PS1-STRM HLSP.

Data Products

Data file naming convention:

hlsp_wise-ps1-strm_ps1-wise_multi_<decmin>-<decmax>_multi_v1_cat.csv.gz

where:

  • <decmin> = Minimum declination this file covers (in degrees).  "m" and "p" represent negative and postive signs.
  • <decmax> = Maximum declination this file covers (in degrees).  "m" and "p" represent negative and postive signs.

An example file name that covers a declination range from -5 < dec < +0 degrees is:

hlsp_wise-ps1-strm_ps1-wise_multi_m05-p00_multi_v1_cat.csv.gz

Data file types:

_cat.csv.gz

Portion of the catalog covering a given declination range.

_sha256sum.txt

Checksum file for all _cat.csv.gz files.

_readme.txt

README containing a description of the catalog and columns.

 

Catalog Column Descriptions

Click the Expand All link to see a table describing the catalog column names, units, and descriptions.

 

 

 

Data Access

WISE-PS1-STRM is available in MAST CasJobs for SQL queries, or can be downloaded as .csv.gz files based on strips of declination.  There are two tables available in CasJobs: "catalogRecordRowStore" which is optimized for row extraction queries (queries where you want to retrieve a subset of the data) and "catalogRecordColumnStore" which is optimized for count() queries and should not be used for extracting subsets of the data.  These tables can be found in the HLSP_WISE_PS1_STRM Context.

Link to MAST CasJobs.

MAST CasJobs

A web-based SQL interface to query and cross-match between catalogs. Export tables, saved queries, long query submissions.

NOTE: Each file in the table below is a few GB in size (~0.5-15 GB, depending on declination strip). 

File Min. Declination Max. Declination

hlsp_wise-ps1-strm_ps1-wise_multi_m35-m30_multi_v1_cat.csv.gz

-35 -30

hlsp_wise-ps1-strm_ps1-wise_multi_m30-m25_multi_v1_cat.csv.gz

-30 -25

hlsp_wise-ps1-strm_ps1-wise_multi_m25-m20_multi_v1_cat.csv.gz

-25 -20

hlsp_wise-ps1-strm_ps1-wise_multi_m20-m15_multi_v1_cat.csv.gz

-20 -15

hlsp_wise-ps1-strm_ps1-wise_multi_m15-m10_multi_v1_cat.csv.gz

-15 -10

hlsp_wise-ps1-strm_ps1-wise_multi_m10-m05_multi_v1_cat.csv.gz

-10 -05

hlsp_wise-ps1-strm_ps1-wise_multi_m05-p00_multi_v1_cat.csv.gz

-05 +00

hlsp_wise-ps1-strm_ps1-wise_multi_p00-p05_multi_v1_cat.csv.gz

+00 +05

hlsp_wise-ps1-strm_ps1-wise_multi_p05-p10_multi_v1_cat.csv.gz

+05 +10

hlsp_wise-ps1-strm_ps1-wise_multi_p10-p15_multi_v1_cat.csv.gz

+10 +15

hlsp_wise-ps1-strm_ps1-wise_multi_p15-p20_multi_v1_cat.csv.gz

+15 +20

hlsp_wise-ps1-strm_ps1-wise_multi_p20-p25_multi_v1_cat.csv.gz

+20 +25

hlsp_wise-ps1-strm_ps1-wise_multi_p25-p30_multi_v1_cat.csv.gz

+25 +30

hlsp_wise-ps1-strm_ps1-wise_multi_p30-p35_multi_v1_cat.csv.gz

+30 +35

hlsp_wise-ps1-strm_ps1-wise_multi_p35-p40_multi_v1_cat.csv.gz

+35 +40

hlsp_wise-ps1-strm_ps1-wise_multi_p40-p45_multi_v1_cat.csv.gz

+40 +45

hlsp_wise-ps1-strm_ps1-wise_multi_p45-p50_multi_v1_cat.csv.gz

+45 +50

hlsp_wise-ps1-strm_ps1-wise_multi_p50-p55_multi_v1_cat.csv.gz

+50 +55

hlsp_wise-ps1-strm_ps1-wise_multi_p55-p60_multi_v1_cat.csv.gz

+55 +60

hlsp_wise-ps1-strm_ps1-wise_multi_p60-p65_multi_v1_cat.csv.gz

+60 +65

hlsp_wise-ps1-strm_ps1-wise_multi_p65-p70_multi_v1_cat.csv.gz

+65 +70

hlsp_wise-ps1-strm_ps1-wise_multi_p70-p75_multi_v1_cat.csv.gz

+70 +75

hlsp_wise-ps1-strm_ps1-wise_multi_p75-p80_multi_v1_cat.csv.gz

+75 +80

hlsp_wise-ps1-strm_ps1-wise_multi_p80-p85_multi_v1_cat.csv.gz

+80 +85

hlsp_wise-ps1-strm_ps1-wise_multi_p85-p90_multi_v1_cat.csv.gz

+85 +90

 

Citations

Please remember to cite the appropriate paper(s) below and the DOI if you use these data in a published work. 

Note: These HLSP data products are licensed for use under CC BY 4.0.

References