Breakthrough Listen Exotic Target Catalog: Public Data
To accompany the announcement of the Breakthrough Listen Exotica catalog, we present early access to data taken with the CSIRO Parkes radio telescope, across at 1344-1472 MHz. This preliminary data release includes observations of:
- A024 ASASSN-15lh: an extremely luminous astronomical transient (a hypernova). This may be a tidal disruption event instead of a hypernova; it's unclear, but one of the most spectacular observed and unlike anything seen previously
- A033 ASASSN-V J213939.3-702817.4: a star that exhibited an extraordinary dimming event, first reported 4 June 2019.
- S040 S5-HVS1: one of the fastest moving stars known, determined to be traveling at nearly four million miles an hour.
- S053 PSR J2144-3933: A superlative pulsar with a period of 8.51 seconds and a very narrow pulse profile - this is also the faintest radio pulsar and also the coldest; probably one of the nearest ones too.
- S101 SPT-CLJ2344-4243 Arc: A gravitationally lensed starburst galaxy within the core of the luminous Phoenix cluster of galaxies.
- S122 A2744z8OD]: A particularly compact and dense are of galaxy overdensity in the early Universe (redshift z~8).
- S120 Phoenix cluster: a massive galaxy cluster located in the southern constellation of Phoenix.
- P366 ID11 (NGC 4214) : A dwarf starburst galaxy at a redshift of z~3.
- C006 HIP 114176. Erroneous star in Hipparcos catalog, reported due to measurement of scattered light from a nearby bright star HIP 114177.
The IDs (A024, A033, etc.) are referenced in the current version of the paper and may change. Older IDs may be noted in the data, but the target names (ASASSN-15lh, ASASSN-V J213939.3-702817.4, etc.) will remain the same.
Access early Exotica data release »
Additional targets from the Exotica list, observed with Parkes, the Green Bank Telescope, and the Automated Planet Finder, may be found by searching the Open Data Archive. Data from additional targets will be made available as progress on our observational campaign proceeds.
Tools for reading the data files into Python are available, as well as a paper that describes the data formats in detail.
