Work Description

Title: Data and images from VLA used for the paper Intermediate-mass black holes and the fundamental plane of black hole accretion Open Access Deposited

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Attribute Value
Methodology
  • The fits files are the results of our processing of Karl G. Jansky Very Large Array (VLA) radio data. Original data data underlying these refined products are available in NRAO archive at  http://nrao.edu/archive, and can be accessed with a search for project ID 15A-240. VLA data are continuum radio in C band (4-8 GHz).
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.
Creator
Depositor
  • kayhan@umich.edu
Contact information
Discipline
Keyword
Citations to related material
  • Gultekin et al. (2022) MNRAS, in press
Resource type
Last modified
  • 11/19/2022
Published
  • 09/09/2022
Language
DOI
  • https://doi.org/10.7302/3100-6e62
License
To Cite this Work:
Gultekin, K., Nyland, K., Gray, N., Fehmer, G., Huang, T., Sparkman, M., Reines, A. E., Greene, J. E., Cackett, E. M., Baldassare, V. (2022). Data and images from VLA used for the paper Intermediate-mass black holes and the fundamental plane of black hole accretion [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/3100-6e62

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Files (Count: 12; Size: 1.46 GB)

Date: 6 Sept, 2022

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

Dataset Creators: Kayhan Gultekin (ORCID: 0000-0002-1146-0198), Kristina Nyland$ (ORCID: 0000-0003-1991-370X), Nichole Gray, Greg Fehmer, Tianchi Huang, Matthew Sparkman, Amy E. Reines (ORCID: 0000-0001-7158-614X), Jenny E. Greene (ORCID: 0000-0002-5612-3427),
Edward M. Cackett (ORCID: 0000-0002-8294-9281), and Vivienne Baldassare (ORCID: 0000-0003-4703-7276)

Dataset Contact: Kayhan Gultekin (kayhan@umich.edu)

This dataset contains this README, a python script, 5 fits files, and 5 pdfs, one for each target:

SDSS J144012.70+024743.5
SDSS J090613.76+561015.1
SDSS J152637.36+065941.6
SDSS J095418.15+471725.1
SDSS J084029.91+470710.4

The pdfs can be generated with the given python script. The script has been tested and run with python 3.9.13 but will likely work with other contemporaneous versions as well. It requires astropy, matplotlib, numpy, scipy and their dependencies. It has been run and tested with the following versions:

astropy 5.1
matplotlib 3.5.3
numpy 1.23.2
scipy 1.9.1

To run the script install the necessary dependencies, e.g., with conda:

> conda create -n imbhfpdata
> conda activate imbhfpdata
> conda install astropy=5.1 matplotlib=3.5.3 numpy=1.23.2 scipy=1.9.1 python=3.9.13

Then run the script in the same directory as the fits files. It will overwrite any pdf files with the target names.

> python ./vlaimage.py

Use and Access:
This data set is made available under a Creative Commons BY-NC license (CC BY_NC 4.0), http://creativecommons.org/licenses/by-nc/4.0/.

To Cite Data:
Gultekin, K. Data and images from VLA used for the paper Intermediate-mass black holes and the fundamental plane of black hole accretion [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/3100-6e62

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