Spectro - Photometric study of star forming early type galaxies

Clicks: 1
ID: 310422
2023
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #157 of 409 articles by views in International Journal of Science and Social Science Research

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 409 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
We combine the results of optical spectroscopy and photometry of a sample of local early type galaxies by Sloan Digital Sky Survey(SDSS) with spectral energy distribution fitting using the Ultraviolet to midIR photometric data. Among the 50 galaxies from present sample, 39 were found to occupy the position of ”Blue-cloud” and ”Green valley” region in the CMD plane. We compute the parameters such as stellar mass, dust mass, dust luminosity, specific star formation rate and it’s correlation with central black hole mass. This could depict a scenario suggesting ba two way migration of ”Green valley” galaxies, either from SF phase to red sequence or from red sequence to the SF. Specific star formation rate is found to have a strong dependence on the gas content of galaxy over the average stellar age of galaxy population such that younger the stellar population of a galaxy, larger is the gas fraction and hence show high specific star formation rate. This suggests that the star formation in these ETGs may purely of intrinsic origin.
Reference Key
imported_1768932877_696fc60ddf9fd Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors S. P. Deshmukh
Journal International Journal of Science and Social Science Research
Year 2023
DOI
10.5281/zenodo.13513193
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.