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kyselica/MMT_snapshot

MMT Snapshot Snapshot of MMT[^1] database. Last update: May 2025 File structure rso.csv - object information data/ - directory containing tracks measurements in .parquet files bulk_idx.txt - contains the index of last bulk file downloaded from the MMT database Object information mmt_id - Identification number of the object in MMT database. norad_id - Norad identification number of the object. name - Name of the object. country - Country of… See the full description on the dataset page: https://huggingface.co/datasets/kyselica/MMT_snapshot.

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MMT Snapshot

Snapshot of MMT[^1] database.

Last update: May 2025

File structure

  • —rso.csv - object information
  • —data/ - directory containing tracks measurements in .parquet files
  • —bulk_idx.txt - contains the index of last bulk file downloaded from the MMT database

Object information

  • —mmt_id - Identification number of the object in MMT database.
  • —norad_id - Norad identification number of the object.
  • —name - Name of the object.
  • —country - Country of origin.
  • —variability - Variability: "non-variable", "aperiodic", "periodic".

Tracks measurements

Parquet files are structured with the following fields:

  • —id - Identification number of the record.
  • —norad_id - Norad identification number of the object.
  • —period - Apparent rotational period in seconds.
  • —timestamp - Start of the observation timestamp in the format '%Y-%m-%d %H:%M:%S'
  • —name - Name of the object.
  • —variability - Variability: 0 (nonvariable), 1 (aperiodic), 2 (periodic).
  • —time - A list of observation times.
  • —mag - A list of measured standardized magnitudes to 1000 km distance.
  • —phase - A list of measured phase angles in degrees.
  • —distance - A list of measured altitudes in km.
  • —filter - A list of filters used: 0 (uknown), 1 (clear), 2 (pol), 4 (V), 8(R), 16(B). Tracks measurements are stored in .csv files with containing the following fields: time,stdMag,phase,distance,filter.

📝 Citing

bibtex
@article{kyselica2025lcdc,
  title={LCDC: Bridging Science and Machine Learning for Light Curve Analysis},
  author={Kyselica, Daniel and Hrob{\'a}r, Tom{\'a}{\v{s}} and {\v{S}}ilha, Ji{\v{r}}{\'\i} and {\v{D}}urikovi{\v{c}}, Roman and {\v{S}}uppa, Marek},
  journal={arXiv preprint arXiv:2504.10550},
  year={2025}
}

[^1]: Karpov, S., et al. "Mini-Mega-TORTORA wide-field monitoring system with sub-second temporal resolution: first year of operation." Revista Mexicana de Astronomía y Astrofísica 48 (2016): 91-96.