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  • Data for: A Pluto-Charon Concerto II. Formation of a Circumbinary Disk of Debris After the Giant Impact

    Description:
    Using a suite of numerical calculations, we consider the long-term evolution of circumbinary debris from the Pluto--Charon giant impact. Initially, these solids have large eccentricity and pericenters near Charon's orbit. On time scales of 100--1000 yr, dynamical interactions with Pluto and Charon lead to the ejection of most solids from the system. As the dynamics moves particles away from the barycenter, collisional damping reduces the orbital eccentricity of many particles. These solids populate a circumbinary disk in the Pluto-Charon orbital plane; a large fraction of this material lies within a `satellite zone' that encompasses the orbits of Styx, Nix, Kerberos, and Hydra. Compared to the narrow rings generated from the debris of a collision between a trans-Neptunian object (TNO) and Charon, disks produced after the giant impact are much more extended and may be a less promising option for producing small circumbinary satellites.
    Subject:
    Astronomy
    Creator:
    Bromley, Benjamin and Kenyon, Scott
    Owner:
    BENJAMIN BROMLEY
    Language:
    English
    Date Uploaded:
    02/03/2021
    Date Modified:
    12/09/2021
    Date Created:
    20191115 to 20200220
    Resource Type:
    Dataset
    Identifier:
    https://doi.org/10.7278/S50DSSMBHHXN

  • A Pluto-Charon Sonata: Growth of Charon from a Circum-Pluto Ring of Debris

    Creator:
    Bromley, Benjamin and Kenyon, Scott
    Owner:
    BENJAMIN BROMLEY
    Language:
    English
    Date Uploaded:
    07/26/2019
    Date Modified:
    12/09/2021
    Resource Type:
    Dataset and Software or Program Code
    Identifier:
    https://doi.org/10.7278/S50D-EFCY-ZC00

  • Datasets for: A Pluto-Charon Sonata: Dynamical Limits on the Masses of the Small Satellites

    Description:
    -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: The data were generated by computer simulations using the C++ code "Orchestra", a proprietary hybrid code that follows the dynamical evolution of solids and gas orbiting a central object. Algorithms in the code are described in the following papers (author names abbreviated to B for Bromley, K for Kenyon, and L for Jane X Luu along with a year for publication date, AJ = Astronomical Journal, ApJ = Astrophysical Journal, S=Supplement): KL1998, AJ 115:2136; KL1999, AJ 118:1101; KB2001,AJ 121:538; KB2002,AJ 123:1757; KB2004, AJ 127:513; BK2006, AJ 131:2737; KB2006, AJ 131:1837; KB2008, ApJS 179:451; KB2010, ApJS 188:242; BK2011, ApJ 731:101; KB2012, AJ 143:63; KB2014, AJ 147:8. Initial conditions for these simulations described in the published paper. 2. Methods for processing the data: Various C and fortran programs are used to analyze the data for the calculations. Several C programs needed to extract information from the computer generated binary output files are included with the dataset. The C programs include basic summaries of the structure of the data files and the usage to extract data from each binary file. 3. Instrument- or software-specific information needed to interpret the data: Appropriate software is included in directory. 4. Standards and calibration information, if appropriate: none 5. Environmental/experimental conditions: all calculations were run on the NASA discover cluster 6. Describe any quality-assurance procedures performed on the data: Aside from tests summarized in the papers described in item 1, test calculations are summarized in the Appendix of each paper and compared to an appropriate benchmark. 7. People involved with sample collection, processing, analysis and/or submission: Scott Kenyon and Ben Bromley and --------------------- DATA & FILE OVERVIEW --------------------- Files summarized in items 1-8 are binary output files from n-body simulations as described in Kenyon & Bromley, "A Pluto-Charon Sonata: Dynamical Limits on fate Masses of the Small Satellites" (2019, Astronomical Journal). Files described in item 9 are ascii txt. The C programs in items 10, 11, and 12 provide different ways to access the binary output. Each C program describes the architecture of the binary files. 1. pcs2-0mmm-nnn[a-z] files: heavy satellites, mmm = 100 x mass factor for all satellites, nnn = number of Symplectic steps per PC orbit, a-z = version 2. pcs2-1mmm-nnn[a-z] files: light satellites, mmm = 100 x mass factor for all satellites, nnn = number of Symplectic steps per PC orbit, a-z = version 3. pcs2-2mmm-nnn[a-z] files: light satellites with 2x nominal mass of Styx & Kerberos, mmm = 100 x mass factor for all satellites, nnn = number of Symplectic steps per PC orbit, a-z = version 4. pcs2-3mmm: heavy satellites, 40 Symplectic steps per PC orbit, mmm = 100 x mass factor for Nix only 5. pcs2-4mmm: heavy satellites, 40 Symplectic steps per PC orbit, mmm = 100 x mass factor for Kerberos only 6. pcs2-5mmm: heavy satellites, 40 Symplectic steps per PC orbit, mmm = 100 x mass factor for Hydra only 7. pcs2-6mmm light satellites, 40 Symplectic steps per PC orbit, mmm = 100 x mass factor for Nix only 8. pcs2-7mmm: light satellites, 40 Symplectic steps per PC orbit, mmm = 100 x mass factor for Hydra only 9. pcs2-n000.dat: summary of lifetimes for binary files in each archive 10. lifetime.c: summarizes lifetime and mass factor for binary file usage example: "lifetime pcs2-6110" 11. summary.c: generates basic summary of timesteps in a binary file usage example: "summary pcs1-0013d" 12. extrxyz.c: extracts (x,y,z) for N satellites and outputs (x,y,z) usage example: "extr6d pcs1-6110 6" will output (x,y,z) for SNKH 3. Additional related data collected that was not included in the current data package: There are other binary output files not included in this archive. 4. Are there multiple versions of the dataset? no
    Subject:
    Astrophysics
    Creator:
    Bromley, Benjamin and Kenyon, Scott
    Depositor:
    BRIAN MCBRIDE
    Owner:
    BENJAMIN BROMLEY
    Language:
    English
    Date Uploaded:
    07/11/2019
    Date Modified:
    04/04/2022
    Date Created:
    2018-2019
    Resource Type:
    Dataset
    Identifier:
    https://doi.org/10.7278/S50D-HAJT-E0G0