Photometric Galaxy Redshift Prediction
Description
Sloan Digital Sky Survey (SDSS) Galaxy Redshift Dataset
This dataset comprises a curated collection of galaxy observations from the Sloan Digital Sky Survey (SDSS). It features photometric and spectroscopic data for 100 galaxies, specifically selected to cover a range of redshifts from 0 to 0.4. The dataset includes the following key parameters for each galaxy:
- Photometric Data: Magnitudes in the SDSS 'u', 'g', 'r', 'i', and 'z' bands.
- Spectroscopic Data: Measured redshift (
redshift) and its error (redshift_error). - Additional Metadata:
objid: Unique identifier for the photometric object.specObjID: Unique identifier for the spectroscopic object.ra: Right ascension in decimal degrees.dec: Declination in decimal degrees.class: Classification of the object, all marked as 'GALAXY'.
Purpose and Use
This dataset is intended for use in astronomical research and education, particularly in studies involving galaxy properties and distribution, cosmology, and machine learning applications such as redshift prediction models. The data is well-suited for developing and testing predictive models that estimate redshifts from photometric data, aiding in the expansion of accessible astronomical analysis tools.
Data Collection Method
The data was extracted using SQL queries against the public SDSS DR16 database, ensuring accuracy and relevance in current astronomical research contexts.
Accessibility
The dataset is made available under a CC0 license to promote open scientific research and collaboration within the astronomical community and beyond.
Files
PhotoZ_SDSS.csv
Files
(148.4 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:6d9e6c2e3d027dc609d34e34af42acc1
|
148.4 MB | Preview Download |
Additional details
Funding
Software
- Repository URL
- https://github.com/TITAN-Project-EU/PhotoZ_SDSS_ML.git
- Programming language
- Python
- Development Status
- Active