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Published January 17, 2024 | Version v1
Dataset Open

Disentangling the Galactic Faraday sky

Description

Sky maps of Hutschenreuter et al. (2023)

See https://arxiv.org/abs/2304.12350.

This data set contains the statistical results for 5 different sky models, namely: 

  • The integrated LoS component of the Galactic magnetic field, weighted by electron density 
  • The LoS-integrated electron density of the Milky Way, i.e. the Galactic dispersion measure 
  • The integrated squared electron density of the Milky Way, i.e. the Galactic emission measure
  • Conversion factor between squared DM and EM, can be interpreted as the length of the LoS in ideal conditions
  • Conversion factor between EM and DM, can be interpreted as the LoS-averaged electron density of the Milky Way in ideal conditions

The results for these models are provided by reporting sky maps of the posterior mean and the corresponding standard deviation.
Note that the uncertainties of individual pixels and the different sky maps are correlated, for a detailed analysis using the posterior samples is recommended.
These are provided for the integrated LoS component of the Galactic magnetic field, the logartihmic DM and the logarithmic L_DM2EM. 
From those, the uncertainties of all other sky maps can be estimated using the equations in the paper.

Mean and uncertainties are also provided in fits file format, for convenience.

All results are provided under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). 

The hdf5 files are organised as follows:

<name>_mean_std.hdf5 

  Attributes:
   - reference: https://arxiv.org/abs/2304.12350
   - license: Provided under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). 
   - description: Sampled posterior mean and variance of the <model description> 
   - name: <name>
   - unit: <physical unit of the sky maps> 


  Contains:
    - mean:
      Contains the posterior mean as a one-dimensional array of float64 with 786432 entries. 
      This conforms to a HealPix map with nside parameter 256 and in RING ordering.

      Attributes:
        - information: contains the above paragraph as a string.
        - unit: <physical unit of the sky maps> 
        - size: 786432
        - nside: 256
        - ordering: RING
        - dtype: float64
        - coordinate system: G
    
    - std:
      Contains the posterior one sigma uncertainty estimates of the <name> sky model as a one-dimensional array of float64 with 786432 entries. 
      This conforms to a HealPix map with nside parameter 256 and in RING ordering.
      Note that the uncertainties of individual pixels are correlated, for a detailed analysis using the posterior samples is recommended, which are provided.)
      
      Attributes:
        - information: contains the above paragraph as a string.
        - unit: <physical unit of the sky maps> 
        - size: 786432
        - nside: 256
        - ordering: RING
        - dtype: float64
        - coordinate system: G
    


<name>_sample.hdf5

  Attributes:
   - reference: https://arxiv.org/abs/2304.12350
   - license: Provided under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). 
   - description: Sampled posterior mean and variance of the <model description> 
   - name: <name>
   - unit: <physical unit of the sky maps> 
   - coordinate

  Contains for each sample i :
     
    - sample_i:
      Contains sample i as a one-dimensional array of float64 with 786432 entries. 
      This conforms to a HealPix map with nside parameter 256 and in RING ordering.

      Attributes:
        - information: contains the above paragraph as a string.
        - unit: <physical unit of the sky maps> 
        - size: 786432
        - nside: 256
        - ordering: RING
        - dtype: float64
        - coordinate system: G
    

Files

Files (428.0 MB)

Name Size Download all
md5:6f0858cd0ca125fa554c8943dd3c4cf7
12.6 MB Download
md5:1ab1aa2c2f1270bdadd0606c081a3400
12.6 MB Download
md5:ac27e311e7e7889948f365229a7a37f4
100.7 MB Download
md5:9afa06a4a438d8d8ad0e9a5c84e091d3
12.6 MB Download
md5:be03d30518dc184cd1621dc1a14b4891
12.6 MB Download
md5:26a2bd0c0a6a8f0c1155b60beac12521
12.6 MB Download
md5:3bff1ed64102e85ae3eed3739ad4dc62
12.6 MB Download
md5:52d9e9ab1e877b1b87664cdf6d2e5c0d
12.6 MB Download
md5:3e343e9ee0bea47018f6b39b929fbf1c
12.6 MB Download
md5:439ad881046bb88ec197e3ef93e86e5d
100.7 MB Download
md5:7db99170c8bfff9d9c7f5b4e4306d842
100.7 MB Download
md5:96cf95e4b5ccbdb9684b699b828a77eb
12.6 MB Download
md5:24e208877d998725505e99551d08963a
12.6 MB Download

Additional details

Related works

Is described by
Preprint: arXiv:2304.12350 (arXiv)