Index Catalog // Deep Blue Data

Need language around using Deep Blue Data as a repository for your NIH data sharing plan? See Data Sharing Boilerplate

Start Over

Filtering by: Creator Gultekin, Kayhan Creator Nyland, Kristina Language python

Data and images from VLA used for the paper Intermediate-mass black holes and the fundamental plane of black hole accretion

Creator:

Gultekin, Kayhan, Nyland, Kristina, Gray, Nichole, Fehmer, Greg , Huang, Tianchi, Sparkman, Matthew, Reines, Amy E., Greene, Jenny E., Cackett, Edward M., and Baldassare, Vivienne

Description:

The data were processed using the scripted VLA calibration pipeline ( https://science.nrao.edu/facilities/vla/data-processing/pipeline/scripted-pipeline) for the Common Astronomy Software Applications (CASA) package version 5.3.0. Imaging was performed using the TCLEAN task in CASA with standard parameters appropriate for broadband data with point-source emissison. We used Briggs weighting with robust parameters between 0 and 1. Self calibration was implemented manually on an as-needed basis for sufficiently bright sources with evidence for residual phase errors in the image plane.

Keyword:

active galactic nuclei, radio galaxies, fundamental plane, and intermediate-mass black holes

Citation to related publication:

Gultekin et al. (2022) MNRAS, in press

Discipline:

Science