This KenyonBromley_readme20200730.txt file was generated on 20200730 by Scott J. Kenyon Links to Publication Field updated. 2021-12-09, BP ------------------- GENERAL INFORMATION ------------------- 1. Data for: Craters on Charon: Impactors From a Collisional Cascade Among Trans-Neptunian Objects 2. Author Information Principal Investigator Contact Information Name: Scott J. Kenyon Institution: Smithsonian Astrophysical Observatory Address: 60 Garden Street, Cambridge, MA 02138 USA Email: skenyon@cfa.harvard.edu Associate or Co-investigator Contact Information Name: Benjamin C. Bromley Institution: Department of Physics & Astronomy, University of Utah Address: Email: 3. Date of data collection (single date, range, approximate date): 20191115 to 20200220 4. Geographic location of data collection (where was data collected?): NASA discover computer 5. Information about funding sources that supported the collection of the data: NASA Emerging World Program: grant NNX17AE24G -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: none 2. Links to publications that cite or use the data: Kenyon, S. J., & Bromley, B. C. (2020). Craters on Charon: Impactors from a Collisional Cascade Among Trans-Neptunian Objects. The Planetary Science Journal, 1(2), 40. https://doi.org/10.3847/PSJ/aba8a9 3. Links to other publicly accessible locations of the data: none 4. Links/relationships to ancillary data sets: none 5. Was data derived from another source? If yes, list source(s): none 6. Recommended citation for the data: Kenyon, Scott J. and Benjamin C. Bromley, 2020, Data for: Craters on Charon: Impactors From a Collisional Cascade Among Trans-Neptunian Objects. The Hive: University of Utah Research Data Repository. --------------------- DATA & FILE OVERVIEW --------------------- Files summarized in item 1 are ASCII output files from coagulation calculations as described in Kenyon, S.J. and B.C. Bromley, 2020 Craters on Charon: Impactors From a Collisional Cascade Among Trans-Neptunian Objects. Planetary Science Journal, TBD 1. chc1-kklm.dat files: naming convention kk = model number (01-11, from Table 1 in KB2020) kk = 01: Q_s = 7e7, e_s=-0.45, Q_g = 2.1, e_g = 1.19, v_c = 1 km/sec kk = 02: Q_s = 4e6, e_s=-0.45, Q_g = 2.1, e_g = 1.19, v_c = 1 km/sec kk = 03: Q_s = 2e5, e_s=-0.45, Q_g = 2.1, e_g = 1.19, v_c = 1 km/sec kk = 04: Q_s = 2e5, e_s=-0.40, Q_g = 0.3, e_g = 1.35, v_c = 1 km/sec kk = 05: Q_s = 4e6, e_s=-0.40, Q_g = 0.3, e_g = 1.35, v_c = 1 km/sec kk = 06: Q_s = 1e4, e_s=-0.40, Q_g = 0.3, e_g = 1.35, v_c = 1 km/sec kk = 07: Q_s = 1e3, e_s=-0.40, Q_g = 0.3, e_g = 1.35, v_c = 1 km/sec kk = 08: Q_s = 4e6, e_s=-0.20, Q_g = 0.3, e_g = 1.35, v_c = 1 km/sec kk = 09: Q_s = 4e6, e_s=-0.00, Q_g = 0.3, e_g = 1.35, v_c = 1 km/sec kk = 10: Q_s = 4e6, e_s=-0.40, Q_g = 0.3, e_g = 1.35, v_c = 1.4 km/sec kk = 11: Q_s = 4e6, e_s=-0.40, Q_g = 0.3, e_g = 1.35, v_c = 2 km/sec l = initial slope of size distribution for r < r_s (1-7) l = 1 (q_s = -3) l = 2 (q_s = -2) l = 3 (q_s = -1) l = 4 (q_s = 0) l = 5 (q_s = +1) l = 6 (q_s = +2) l = 7 (q_s = +3) m = initial size for inflection point of size distribution (r_s) m = 1 (r_s = 1 km) m = 2 (r_s = 3 km) m = 3 (r_s = 10 km) m = 4 (r_s = 30 km) m = 5 (r_s = 100 km) 2. Format of data files Data files as named above are stored in a single tar file "chc1-kklm.dat.tar". Once extracted, all files have the same ASCII format and are ready to use in a python program line 1: header line 2: header with pre-selected times for the output line 3: header with actual times for the output from the calculation lines 4-n: 18 columns of data (all output in f8.3 format) column 1: semimajor axis of annulus column 2: log particle radius (in cm) columns 3-18: log number of particles 3. Python program cc1.py with output cc1.jpg, cc1.eps, and cc1.pdf generates a figure from the paper (within anaconda). -------------------------- 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. The ASCII format convention described above should be sufficient to extract data from the files. A single python script is included in the data distribution. 3. Instrument- or software-specific information needed to interpret the data: none 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