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CATCH Overview

The Comet-Asteroid Telescopic Catalog Hub (CATCH) is a search tool for large astronomical data sets. It was especially designed to find observations of moving targets, i.e., comets and asteroids. Use CATCH to help identify pre-discovery observations of a target, to examine past cometary activity, or to help you understand why a survey did not detect or report observations of an object.

CATCH solves the needle in the haystack problem: your favorite comets and asteroids are the needles, and the archives of survey data are the haystacks.

Provide the name of an asteroid or comet, and CATCH will:

  1. Request an ephemeris for that object from NASA JPL's Horizons System.
  2. Query the CATCH database for data near the ephemeris.
  3. Test each approximate match for detailed intersection with the ephemeris.
  4. Return all results with both target and observational metadata.

CATCH can also search for any fixed point on the sky, and up to 2 degrees in radius about it. Three areal search options are available. Find observations: (1) that intersect any part of the search area; (2) that are fully contained within the search area; or, (3) that fully contain the search area.

Capabilities

  • Results are presented in the browser, complete with image cutouts around the query target.
  • Backed by a publicly accessible API.
  • Searches all near-Earth object survey data archived with NASA's Planetary Data System, and a few other survey data sets. Potentially any publicly hosted data archive could be included.
  • Search results are cached and may be quickly retrieved thereafter, or refreshed with a new query.
  • Queries may optionally search an area around the ephemeris: either an arbitrary radius, or using the ephemeris uncertainty ellipse (when available).
  • CATCH is designed to have arcsecond-level precision, but searches will be limited by the astrometric accuracy of survey metadata.

Figures and Videos

A video summary of CATCH's techniques, CATCHing Near-Earth Objects in Archival Survey Data, given by M. Kelley, D. Darg, and J. Bauer to the 7th IAA Planetary Defense Conference (2021 Apr 27).

A video that focuses on the indexing techniques used in CATCH.

CATCH database depth of coverage across the sky
CATCH database depth of coverage for all data sources in a Mollweide projection. Cell sizes are 1.3 degrees across. The cell color scale indicates the number of images that have any overlap with it.

Data sources

SurveySiteDates (UTC)NightsImagesPixel scale (arcsec) Field of view a (deg2) FiltersLimiting magnitudeArchived atReferences
Asteroid Terrestrial-impact Last Alert System (ATLAS)Haleakala Observatory, Hawaii, USA (T05)December 2018 – September 2021c848c594,688c1.8628o, cPDS SBNDenneau et al. 2024
Asteroid Terrestrial-impact Last Alert System (ATLAS)Mauna Loa Observatory, Hawaii, USA (T08)December 2018 – September 2021c978c741,270c1.8628o, cPDS SBNDenneau et al. 2024
Asteroid Terrestrial-impact Last Alert System (ATLAS)El Sauce Observatory, Rio Hurtado, Chile (W68)ccc1.8628o, cPDS SBNDenneau et al. 2024
Asteroid Terrestrial-impact Last Alert System (ATLAS) South African Astronomical Observatory, Sutherland Station, South Africa (M22) ccc1.8628o, cPDS SBNDenneau et al. 2024
Catalina Sky SurveyMt. Bigelow, Arizona, USA (703, V06)January 2020 – December 2024c1,085c1,149,463c2.5 or 3.0 (703), 0.6 (V06)8.1 or 19.4 (703), 0.03 (V06)NonePDS SBNSeaman et al. 2022
Catalina Sky SurveyMt. Lemmon, Arizona, USA (G96, I52)January 2020 – December 2024c1,154c1,493,143c1.0 or 1.5 (G96), 1.0 (I51)1.2 or 5.0 (G96), 0.3 (I52)NonePDS SBNSeaman et al. 2022
Lowell Observatory Near-Earth-Object Search (LONEOS)Lowell Observatory, Anderson Mesa, Arizona, USA (699)August 2003 – March 2008522290,5932.534.1NoneV~18–19PDS SBNTedesco and Davis 2024
Near Earth Asteroid Tracking (NEAT) GEODSSHaleakala Observatory, Hawaii, USA (566)April 1996 – May 199814736,0991.432.7NoneV~19PDS SBNBauer and Lawrence 2013, Pravdo et al. 1999
Near Earth Asteroid Tracking (NEAT) Palomar Tri-CamPalomar Observatory, California, USA (644)November 2001 – March 2003150128,1641.011.3NoneV~20PDS SBNBauer and Lawrence 2013, Tricarico 2016
Pan-STARRS 1 (DR2)Haleakala Observatory, Hawaii, USA (F51)June 2009 – February 20151,43817,558,049b0.25b24×24bgrizyr~21.8STScIPan-STARRS1 data archive, Chambers et al. 2016, Waters et al. 2020, Magnier et al. 2020
SkyMapper Southern Survey (DR4)Siding Spring Observatory, New South Wales, Australia (413)March 2014 – September 20211,75712,630,5150.50.16uvgriz shallow survey~19,
main survey~20–22
Australian National UniversityWolf et al. 2018, Onken et al. 2019
Spacewatch 0.9-m Mosaic Camera Survey (v3)Steward Observatory, Kitt Peak, Tohono O'odham Nation (691)March 2003 – December 20162,2561,808,1881.00.35Schott OG-515V~21.7PDS SBNBrucker et al. 2022
aField of view of a single data product.
bThe Pan-STARRS 1 search is based on the archived "skycell" images.
cThese archives are accumulating data with time. Archive statistics were updated on 2025 Jan 19. Current statistics for CATCH holdings are available via the CATCH API.

CATCH Limitations and Caveats

CATCH does not perform detection-based searches. i.e., it cannot determine if an object was observed. Rather, it identifies images that could have observed a target, based on the target's ephemeris. This search also requires that the ephemeris correctly describes the target's motion on the sky, and that a potentially matching observation is correctly described by its metadata.

Known issues

  1. NEAT and LONEOS astrometric solutions are up to ~3 arcmin off.
  2. Target name resolution: our name resolution service is incomplete. Some real target names may not be resolved. However, CATCH can still attempt to search for them. Ultimately, any target must be resolvable by Horizons. Use JPL's Small-Body Database Lookup to test object names that are not working. Take care when searching for fragmented comets (e.g., 73P vs. 73P-C).
  3. Searches only include dates when an object is brighter than V=25 mag, as predicted by the ephemeris generator. Contact us if this limit is affecting your work.
  4. Images may not be correctly displayed in the image preview, which causes a misalignment with the PanSTARRS catalog overlay. In such cases the image will generally be flipped with respect to the catalog, even when the image has an accurate astrometric solution.

Updates

  • v3.0-beta (2025 Jan 31):
    • New features:
      • Solar System viewer showing the orientation of the Sun, Earth, target, and other objects at the time of each observation.
      • Image cutout services for all PDS-hosted data.
      • Added Lowell Observatory Near-Earth Objects Survey (LONEOS) data collection.
      • Added Asteroid Terrestrial-impact Last Alert System (ATLAS) data collections. The ATLAS collections will be continuously updated with new and previously obtained data.
      • Fixed-target (celestial) searches.
      • Date-range searches.
      • PanSTARRS DR2 catalog overlay in the image preview area.
    • Other updates:
      • Improved web app responsiveness for results with a large number of observations.
      • Updated Spacewatch 0.9m Mosaic Camera Survey data from v1.0 to v3.0.
      • Updated SkyMapper Southern Sky Survey Data Release from 2 to 4.
      • Updated the size of NEAT cutouts to accommodate images with large astrometric errors.
  • v2.0 (2023 Mar 15):
    • New features:
      • A new search technique enables areal searches (padding or uncertainty ellipse).
      • Search by source now allowed.
      • Added Spacewatch 0.9m Mosaic Camera Survey
      • Added Catalina Sky Survey Archive
      • Added PanSTARRS1 DR2
  • v1.0 (2020 Nov 12): First release to the public.

Acknowledgements

This software is built entirely with open-source resources, and so we thank all of the authors in the JS/python community. Special thanks to Eric Mandel for building the JS9 fits-file viewer and for his assistance in integrating it into this angular SPA, and Rick White (STScI) for help with the PanSTARRS 1 metadata.

Acceptable Usage of Site

CATCH is a service built and operated by the Small Bodies Node of the NASA Planetary Data System group at the University of Maryland. You are welcome to use the tool for research and educational purposes. By using this tool, you agree to our terms and conditions.