juliensimon/cataclysmic-variable-catalog

Ritter & Kolb Cataclysmic Variable Catalog

Credit: NASA/ESA/Hubble

Part of a dataset collection on Hugging Face.

Dataset description

Catalog of cataclysmic variables (CVs) from the Ritter & Kolb catalog, sourced from NASA HEASARC. CVs are binary star systems where a white dwarf accretes matter from a companion star.

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. 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) are strongly magnetic white dwarfs (B ~ 10-230 MG) where the magnetic field channels accretion directly onto the poles. Intermediate polars (DQ Her) are moderately magnetic white dwarfs with a truncated accretion disk. Nova-like variables (NL) are high mass-transfer rate systems in a persistent bright state.

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.

This dataset is suitable for tabular classification tasks.

Schema

Column	Type	Description	Sample	Null %
name	str	Standard CV designation (e.g. 'SS Cyg', 'AM Her'); CVs are close binaries where a white dwarf accretes matter from a donor star	0035-7230	0.0%
ra	float64	Right ascension ICRS J2000.0 in degrees (0-360)	9.3325	0.0%
dec	float64	Declination ICRS J2000.0 in degrees (-90 to +90)	-72.23722222	0.0%
lii	float64	Galactic longitude in degrees (0-360, increasing toward Galactic center direction)	304.44884775	0.0%
bii	float64	Galactic latitude in degrees (-90 to +90; most CVs within |b| < 30 deg)	-44.84945298	0.0%
type2	str	Secondary classification flag from Ritter & Kolb (qualifier or additional subtype)	EG	18.7%
mag1	float64	V-band magnitude at outburst maximum (brightest state); lower value = brighter	20.2	2.1%
mag2	float64	V-band magnitude at quiescence (faint state); difference mag2-mag1 = outburst amplitude	20.6	58.4%
class	int64	CV classification code from Ritter & Kolb catalog (e.g. DN, NL, N, RN, AM, IP)	1600	0.0%
cv_subtype	str	Derived CV subtype: 'dwarf_nova' (DN, recurring outbursts), 'polar' (AM Her, strongly magnetic), 'intermediate_polar' (DQ Her/IP), 'nova_like' (NL, steady high accretion), 'classical_nova' (N/RN, thermonuclear runaway), or 'other'	other	0.0%

Quick stats

• 1,166 cataclysmic variables
• 0 systems with measured orbital period (median 0.0 h)
• CV subtypes:
• 1,166 other

Usage

from datasets import load_dataset

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

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"]
print(f"{len(dwarf_novae):,} dwarf novae, {len(polars):,} polars")

# Period distribution showing the famous period gap
import matplotlib.pyplot as plt
periods = df["porb"].dropna()
periods[periods > 0].hist(bins=50)
plt.xlabel("Orbital period (hours)")
plt.ylabel("Count")
plt.title("CV Orbital Period Distribution")
plt.axvspan(2.0, 3.0, alpha=0.2, color="red", label="Period gap")
plt.legend()
plt.show()

Data source

https://heasarc.gsfc.nasa.gov/W3Browse/all/rittercv.html

Related datasets

• juliensimon/xray-binary-catalog

• juliensimon/gaia-dr3-white-dwarfs

• juliensimon/gcvs-variable-stars

• juliensimon/kepler-eclipsing-binaries

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About the author

Created by Julien Simon — AI Operating Partner at Fortino Capital. Part of the Space Datasets collection.

Citation

@dataset{cataclysmic_variable_catalog,
  title = {Ritter & Kolb Cataclysmic Variable Catalog},
  author = {juliensimon},
  year = {2026},
  url = {https://huggingface.co/datasets/juliensimon/cataclysmic-variable-catalog},
  publisher = {Hugging Face}
}

License

CC-BY-4.0