Published March 20, 2024 | Version 1.0.0
Journal article Open

Observing the Galactic Underworld: Code supplement to predicting photometry and astrometry from compact remnant microlensing events

  • 1. ROR icon University of Sydney
  • 2. ROR icon European Southern Observatory
  • 3. ROR icon University of California, Irvine
  • 4. CSIRO
  • 5. The University of Sydney

Description

Code and data used/generated throughout the research for the Observing the Galactic Underworld paper.

 

This project contains the following underlying code and data:

  • calculate_incidence.py; code which loads in a population of objects, calculates their path on the sky, queries Gaia for objects near that path and then calculates microlensing event.  
  • plot_microlensing_results.py; collection of plotting functions used to visualise the distribution of microlensing events. Most plots in the paper are generated by this script.
  • Plot Preparation.pynb; Jupyter notebook for exploring the data and generating plots. Any plots in the paper which are not gerneated by plot_microlensing_results.py are generated by this notebook.
  • 10000_year_lensing_results_all_GUW_paper_mag.ecsv; microlensing events from due to black holes and neutron stars over a 10,000 year period. The original population was undersampled by 1,000 so dataset is roughly equivalent to 10 years of microlensing data.
  • 100000_year_lensing_results_milkyway_all_MW_paper_mag.ecsv; microlensing events from due to stars over a 100,000 year period. The original population was undersampled by 1,000,000 so dataset is roughly equivalent to 0.1 years of microlensing data
  • 32_year_Gaia_x101_lensing_results_all_mag.ecsv; microlensing events due to black holes and neutron stars over a 12 year observation period, a 15 year gap and a 5 year further observation period. 101 such periods were combined together to form this file and, to reduce the file size, non events were not recorded. The original population was undersampled by a factor of 1,000 so this is data is undersampled by roughly a factor of 10.
  • kicked_remnants_igoshev_young_7.8_DC_integrated_final_ECSN.csv; population of black holes and neutron stars, as outputted by Sweeney et al. (2020). This population is undersampled by a factor of 10,000.
  • milkyway_f1e-6.ebf; population of stars, as generated by GALAXIA. This population is undersampled by a factor of 1,000,000.

Data file containing microlensing events from due to black holes, where black holes have a mass of 20 solar masses, over a 10,000 year period is available from the author upon reasonable request. Attempts were made to upload it here but the upload would not complete.

Files

kicked_remnants_igoshev_young_7.8_DC_integrated_final_ECSN.csv

Files (9.4 GB)

Name Size Download all
md5:d9b9d0a385ce1af7e8135edf83b03ce2
1.0 GB Download
md5:a924c0a459d3c468cb85ee7bad8ffbd1
4.6 GB Download
md5:ec747a57aee66969a3ae8c57e75da017
3.7 GB Download
md5:2df3a00b5d714f521549fb3539da6c33
65.1 kB Download
md5:8508e26e8812ee473058dc27f57b6b6d
149.0 MB Preview Download
md5:ea85c22a253e914664fb58e11bb31dd5
20.4 MB Download
md5:689bd32ae8949b890677aaf134887b5c
856.9 kB Preview Download
md5:131b1b13a006b4a4114778c0aee42a1e
94.9 kB Download

Additional details

Related works

Cites
Dataset: 10.5281/zenodo.7005808 (DOI)
Journal article: 10.1093/mnras/stac2092 (DOI)

Dates

Created
2024-03-20

Software

Repository URL
https://github.com/David-Sweeney/Incidence
Programming language
Python