pwv_kpno: A Python Package for Modeling the Atmospheric Transmission Function Due to Precipitable Water Vapor

doi:10.1088/1538-3873/aaecb7

This content will become publicly available on December 20, 2019

Title: pwv_kpno: A Python Package for Modeling the Atmospheric Transmission Function Due to Precipitable Water Vapor

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Abstract

In this work, we present a Python package, pwv_kpno, which provides models for the atmospheric transmission due to precipitable water vapor (PWV) at user-specified sites. Using the package, ground-based photometric observations taken between 3000 and 12,000 Å can be corrected for atmospheric effects due to PWV. Atmospheric transmission in the optical and near-infrared is highly dependent on the PWV column density along the line of sight. By measuring the delay of dual-band GPS signals through the atmosphere, the SuomiNet project provides accurate PWV measurements for hundreds of locations around the world. The pwv_kpno package uses published SuomiNet data in conjunction with MODTRAN models to determine the modeled, time-dependent atmospheric transmission. A dual-band GPS system was installed at Kitt Peak National Observatory (KPNO) in the spring of 2015. Using measurements from this receiver we demonstrate that we can successfully predict the PWV at KPNO from nearby dual-band GPS stations on the surrounding desert floor. The pwv_kpno package can thus provide atmospheric transmission functions for observations taken before the KPNO receiver was installed. Using PWV measurements from the desert floor, we correctly model PWV absorption features present in spectra taken at KPNO. Finally, we also demonstrate how to configure the package formore » use at other observatories.« less

Authors:

^[1];

^[1]; Bostroem, K. Azalee ^[2]; Gilmore, Kirk ^[3]; Joyce, Richard ^[4]; Matheson, Tom ^[4]; Corson, Charles ^[4]

Univ. of Pittsburgh, PA (United States). Pittsburgh Particle Physics, Astrophysics, and Cosmology Center (PITT PACC). Department of Physics and Astronomy; Kitt Peak National Observatory, National Optical Astronomy Observatory, Tucson, AZ (United States)
Univ. of California, Davis, CA (United States)
SLAC National Accelerator Lab., Menlo Park, CA (United States)
National Optical Astronomy Observatory, Tucson, AZ (United States)

Publication Date:: 2018-12-20

Research Org.:: SLAC National Accelerator Lab., Menlo Park, CA (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1493419

Grant/Contract Number:: AC02-76SF00515; SC0007914

Resource Type:: Accepted Manuscript

Journal Name:: Publications of the Astronomical Society of the Pacific

Additional Journal Information:: Journal Volume: 131; Journal Issue: 996; Journal ID: ISSN 0004-6280

Publisher:: Astronomical Society of the Pacific

Country of Publication:: United States

Language:: English

Subject:: 79 ASTRONOMY AND ASTROPHYSICS

Citation Formats


                    Perrefort, Daniel, Wood-Vasey, W. M., Bostroem, K. Azalee, Gilmore, Kirk, Joyce, Richard, Matheson, Tom, and Corson, Charles. pwv_kpno: A Python Package for Modeling the Atmospheric Transmission Function Due to Precipitable Water Vapor.  United States: N. p., 2018. 
        Web.  doi:10.1088/1538-3873/aaecb7.

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                    Perrefort, Daniel, Wood-Vasey, W. M., Bostroem, K. Azalee, Gilmore, Kirk, Joyce, Richard, Matheson, Tom, & Corson, Charles. pwv_kpno: A Python Package for Modeling the Atmospheric Transmission Function Due to Precipitable Water Vapor.  United States.  doi:10.1088/1538-3873/aaecb7.

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                    Perrefort, Daniel, Wood-Vasey, W. M., Bostroem, K. Azalee, Gilmore, Kirk, Joyce, Richard, Matheson, Tom, and Corson, Charles. Thu .  
        "pwv_kpno: A Python Package for Modeling the Atmospheric Transmission Function Due to Precipitable Water Vapor".  United States.  doi:10.1088/1538-3873/aaecb7.

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@article{osti_1493419,

  title        = {pwv_kpno: A Python Package for Modeling the Atmospheric Transmission Function Due to Precipitable Water Vapor},

  author       = {Perrefort, Daniel and Wood-Vasey, W. M. and Bostroem, K. Azalee and Gilmore, Kirk and Joyce, Richard and Matheson, Tom and Corson, Charles},

  abstractNote = {In this work, we present a Python package, pwv_kpno, which provides models for the atmospheric transmission due to precipitable water vapor (PWV) at user-specified sites. Using the package, ground-based photometric observations taken between 3000 and 12,000 Å can be corrected for atmospheric effects due to PWV. Atmospheric transmission in the optical and near-infrared is highly dependent on the PWV column density along the line of sight. By measuring the delay of dual-band GPS signals through the atmosphere, the SuomiNet project provides accurate PWV measurements for hundreds of locations around the world. The pwv_kpno package uses published SuomiNet data in conjunction with MODTRAN models to determine the modeled, time-dependent atmospheric transmission. A dual-band GPS system was installed at Kitt Peak National Observatory (KPNO) in the spring of 2015. Using measurements from this receiver we demonstrate that we can successfully predict the PWV at KPNO from nearby dual-band GPS stations on the surrounding desert floor. The pwv_kpno package can thus provide atmospheric transmission functions for observations taken before the KPNO receiver was installed. Using PWV measurements from the desert floor, we correctly model PWV absorption features present in spectra taken at KPNO. Finally, we also demonstrate how to configure the package for use at other observatories.},

  doi          = {10.1088/1538-3873/aaecb7},

  journal      = {Publications of the Astronomical Society of the Pacific},

  number       = 996,

  volume       = 131,

  place        = {United States},

  year         = {2018},

  month        = {12}

}

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