Speaker
Description
We investigate star formation activities in galaxy clusters by leveraging radio continuum data from the red-sequence Matched-filter Probabilistic Percolation (redMaPPer) catalogs, which encompass a redshift range of 0.06 to 0.55. These clusters serve as a robust dataset for studying the interplay between galaxy evolution and cluster environments. To achieve this, we employ a stacking analysis on Jansky Very Large Array (JVLA) observations within the footprints of the Herschel Stripe 82 region (HerS). This approach enables us to derive average star formation rates (SFR$_{1.4GHz}$) and corresponding radio luminosities (L$_{1.4GHz}$) for member galaxies, overcoming the challenges posed by individual detection limits.
Our results reveal a clear trend of decreasing star formation rate per unit cluster mass ($\Sigma$SFR/M) with increasing cluster mass (M$_{200}$), supporting the hypothesis that environmental suppression mechanisms - such as ram pressure stripping, strangulation, or galaxy harassment - play a pivotal role in regulating star formation within dense environments. These findings underscore the significance of deep radio surveys in probing the cosmic star formation history and provide a critical perspective on how large-scale structures influence the evolution of galaxies within clusters. This study highlights the synergy between multi-wavelength datasets and advanced stacking techniques in uncovering the complex relationships governing galaxy and cluster evolution.
| Stream | Science |
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