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Update cataclysmic variable catalog: 1,168 CVs
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metadata
license: cc-by-4.0
pretty_name: Ritter & Kolb Cataclysmic Variable Catalog
language:
  - en
description: >-
  Catalog of cataclysmic variables (CVs) from the Ritter & Kolb catalog — white
  dwarfs accreting from companion stars
task_categories:
  - tabular-classification
tags:
  - space
  - cataclysmic-variable
  - white-dwarf
  - nova
  - dwarf-nova
  - binary-star
  - astronomy
  - accretion
  - open-data
  - tabular-data
  - parquet
size_categories:
  - 1K<n<10K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/cataclysmic_variables.parquet
    default: true

Ritter & Kolb Cataclysmic Variable Catalog

The Crab Nebula, a supernova remnant

Credit: NASA/ESA/Hubble

Part of the Astronomy Datasets and Variable Stars & Transients collections on Hugging Face.

Update Cataclysmic Variables Updated

The Ritter & Kolb catalog of cataclysmic variables (CVs), sourced from NASA HEASARC. Currently 1,168 CVs with 51 attributes.

Dataset description

Cataclysmic variables (CVs) are binary star systems in which a white dwarf accretes matter from a low-mass companion star (typically a red dwarf) that overflows its Roche lobe. The infalling material forms an accretion disk around the white dwarf, producing dramatic brightness variations across timescales from seconds to decades. CVs are classified into several subtypes based on their outburst behavior and magnetic field strength:

  • Dwarf novae (DN): exhibit quasi-periodic outbursts of 2-8 magnitudes caused by thermal instabilities in the accretion disk. Includes SU UMa, U Gem, and Z Cam subtypes.
  • Classical novae (N): undergo thermonuclear explosions on the white dwarf surface when accreted hydrogen reaches a critical mass, brightening by 6-19 magnitudes.
  • Polars (AM Her): strongly magnetic white dwarfs (B ~ 10-230 MG) where the magnetic field channels accretion directly onto the poles, preventing disk formation.
  • Intermediate polars (DQ Her): moderately magnetic white dwarfs (B ~ 1-10 MG) with a truncated accretion disk and magnetically channeled inner flow.
  • Nova-like variables (NL): high mass-transfer rate systems in a persistent bright state without the outburst cycles of dwarf novae.

The Ritter & Kolb catalog is the standard reference catalog for CV research, containing orbital periods, spectral types, magnitudes, and classifications for the known CV population. This dataset is essential for population studies, period distribution analysis, and understanding the evolution of compact binary systems.

Schema

Column Type Description
__row str
name str Primary designation of the cataclysmic variable
alt_name str
ra float64 Right ascension (J2000) in degrees
dec float64 Declination (J2000) in degrees
lii float64 Galactic longitude in degrees
bii float64 Galactic latitude in degrees
acc_pos str
type1 str
type1_flag str
type2 str Secondary type classification
type2_flag str
type3 str
type3_flag str
type4 str
type4_flag str
mag1 float64 Primary magnitude (typically in V band)
mag2 float64 Secondary magnitude (typically at minimum brightness)
mag3 float64
mag4 float64
interval str
interval2 str
orbital_period float64
period2 float64
period3 float64
period4 float64
eclipse str
sb str
spect_type_2 str
spect_type_1 str
lim_mass_ratio str
mass_ratio str
mass_ratio_flag str
mass_ratio_error str
lim_inclination str
inclination str
inclination_flag str
inclination_error str
lim_m1 str
m1 str
m1_flag str
m1_error str
lim_m2 str
m2 str
m2_flag str
m2_error str
class str Object classification code from Ritter & Kolb
__x_ra_dec str
__y_ra_dec str
__z_ra_dec str
cv_subtype str Derived CV subtype: dwarf_nova, polar, intermediate_polar, nova_like, classical_nova, or other

Quick stats

  • 1,168 cataclysmic variables
  • 0 systems with measured orbital period
  • CV subtypes:
    • other: 1,166

Usage

from datasets import load_dataset

ds = load_dataset("juliensimon/cataclysmic-variable-catalog", split="train")
df = ds.to_pandas()

# Filter by CV subtype
dwarf_novae = df[df['cv_subtype'] == 'dwarf_nova']
polars = df[df['cv_subtype'] == 'polar']

# Period distribution
# No period column available

# Sky distribution
import matplotlib.pyplot as plt
import numpy as np
fig, ax = plt.subplots(subplot_kw={"projection": "aitoff"})
ra = np.radians(df["ra"].values - 180) if "ra" in df.columns else []
dec = np.radians(df["dec"].values) if "dec" in df.columns else []
ax.scatter(ra, dec, s=1, alpha=0.5)
plt.title("Cataclysmic Variables - Sky Distribution")

Data source

All data comes from the Ritter & Kolb Cataclysmic Binaries catalog hosted by NASA's High Energy Astrophysics Science Archive Research Center (HEASARC), accessed via the TAP protocol. Originally published in: Ritter H., Kolb U., 2003, A&A 404, 301 (Edition 7.24).

Update schedule

Quarterly (Feb/May/Aug/Nov 1st at 08:30 UTC) via GitHub Actions.

Related datasets

Pipeline

Source code: juliensimon/space-datasets

Support

If you find this dataset useful, please give it a heart on the dataset page and share feedback in the Community tab! Also consider giving a star to the space-datasets repo.

Citation

@dataset{cataclysmic_variable_catalog,
  author = {Simon, Julien},
  title = {Ritter & Kolb Cataclysmic Variable Catalog},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/juliensimon/cataclysmic-variable-catalog},
  note = {Based on Ritter & Kolb (2003) catalog, sourced from NASA HEASARC}
}

License

CC-BY-4.0