emamuzic/TDE_mock

Tidal disruption event mock catalogs

These catalogs are calculated for a prediction of the unlensed and lensed tidal disruption event (TDE) rate. For more details see the Mamuzic et al. (2025) paper. (Preprint: arXiv:2502.19495: https://arxiv.org/abs/2502.19495) (Publication: A&A:aa54367-25: https://www.aanda.org/articles/aa/full_html/2025/09/aa54367-25/aa54367-25.html) When using this dataset in your work, cite the A&A article. The dataset was originally uploaded to Zenodo (https://doi.org/10.5281/zenodo.17727178)

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This dataset includes unlensed and lensed TDE mock catalogs for multiple models. A model is defined by a choice of luminosity function (), a temperature (), and a black hole mass function (). The possible choices are: - L_func: <"L1">, <"L2"> - T_dep: <"10000">, <"20000">, <"30000">, <"40000">, <"50000">, - BHMF: <"z_indep">, <"TRINITY">, <"COSMOS2015"> They are taken together into a tuple of <(L_func, T_dep, BHMF)>. The <T_dep = True> option is only available for <L_func = "L2">. This gives a total of 33 possible models to choose from. Additionally, we calculated each catalog for four bands, ugri of the Rubin Observatory. Each model is calculated for a survey area of 20,000 deg^2, a maximal TDE magnitude of 30.5, and a maximal redshift of 6. We use a flat LCDM cosmology with these parameters: H0 = 72, Om = 0.3, Ol = 0.7.

The unlensed TDE catalogs and the lensed TDE catalogs are kept separate from one another. But both have the same overall structure. The catalogs are provided in a 2 dimensional array. Each row contains a single mock TDE. Each column contains a parameter of the TDEs.

• The unlensed catalogs are in folder "data_npy_unlensed". Each data file contains a single mock catalog of unlensed TDEs. -- The columns in the unlensed catalogs are:

  • AB magnitude
  • redshift
  • black hole mass # in solar masses
  • TDE luminosity # in erg /s
  • TDE temperature # in K

• The lensed catalogs are in folder "data_npy_lensed". Here, each data file contains 1000 mock catalogs. -- The columns in the lensed catalogs are:

  • number of lensed images
  • lens redshift
  • lens velocity dispersion # in km /s
  • source redshift
  • source AB magnitude
  • lensed images AB magnitude (fainter image for doubles and third brightest image for quads)
  • image separation # in arcsec
  • lens ellipticity
  • lens position angle # in deg
  • external shear
  • external shear position angle # in deg
  • source x position # in arcsec (these are relative to lens)
  • source y position # in arcsec
  • source luminosity # in erg /s
  • black hole mass # in solar masses
  • TDE temperature # in K
  • time delays # in days (takes up four columns; only the existing values are populated, zero otherwise, one for doubles and three for quads)
  • image x position # in arcsec (takes up four columns; these are relative to lens, for doubles only index 19 and 20 are populated, zero otherwise)
  • image y position # in arcsec (takes up four columns; these are relative to lens, for doubles only index 23 and 24 are populated, zero otherwise)
  • kappa value at image position (takes up four columns; for doubles only index 27 and 28 are populated, zero otherwise)
  • gamma x value at image position (takes up four columns; for doubles only index 31 and 32 are populated, zero otherwise)
  • gamma y value at image position (takes up four columns; for doubles only index 35 and 36 are populated, zero otherwise)
  • image magnification (takes up four columns; for doubles only index 39 and 40 are populated, zero otherwise)
  • einstein radius # in arcsec

We additionally include data loading files "data_loader_unlensed.py" and "data_loader_lensed.py". These files can be used to load the provided data files, or convert them to an acsii file format. The files contain more information and examples on how to use them. The provided data files are .npy files. Without our data loading files they can easily and quickly be loaded with the <numpy.load> function.