Maximizing the scientific accessibility and impact of astronomical data

Maximizing the scientific accessibility and impact of astronomical data

Maximizing scientific accessibility and productivity of astronomical data.

The Barbara A. Mikulski Archive for Space Telescopes (MAST) is an astronomical data archive focused on astronomical data sets in the optical, ultraviolet, and near-infrared. We host data from over a dozen missions like Hubble, Kepler, TESS, and soon JWST.

Search Tools

MAST Portal

The MAST Portal lets you search multiple collections of astronomical data-sets from one place. Use this tool to find astronomical data, including images, spectra, catalogs, timeseries, publication records and more.

Virtual Observatory

The Virtual Observatory (VO) seamlessly incorporates astronomical data from active missions, archives, and other institutional resources worldwide.


Search by exoplanet name to find data, parameters, visualizations, and MAST holdings like Kepler, K2, Hubble, TESS and JWST. Easily find the data taken during the transit, interact with folded light curves, and view or download published spectroscopy.

Mission Specific Search Forms

MAST provides web forms to search for data from individual missions.

MAST CasJobs

A website for running SQL queries on MAST catalogs and tables. Long and complex queries are supported, and users can store the output in a user database.


Search for extragalactic observations and catalog data from MAST high-level science products (HLSP). Download results for further analysis or quickly view detailed information by individual galaxy—aggregated data, image cutouts, observed SEDs, and observations from CANDELS and GOODS.

Pan-STARRS Catalog Search

The Panoramic Survey Telescope & Rapid Response System (Pan-STARRS or PS1) is a wide-field imaging facility developed at the University of Hawaii's Institute for Astronomy for a variety of scientific studies from the nearby to the very distant Universe. The PS1 catalog allows searches for the mean measurements and the deeper stacked measurements from images combining all the epochs.

Hubble Source Catalog Search

The Hubble Source Catalog (HSC) is designed to optimize science from the Hubble Space Telescope by combining the tens of thousands of visit-based source lists in the Hubble Legacy Archive (HLA) into a single master catalog.

Exoplanet Atmosphere Observability Table

This table is intended for selecting targets when planning observations of exoplanet atmospheres through transmission and emission. The SNR values, based on observed star and planet parameters, provide guidelines for different wavebands and techniques to allow users to determine those exoplanets most amenable to atmospheric characterization.

APIs (Application Programming Interfaces)

Astroquery API

A streamlined interface for Python users to access data in MAST. Replicates most functions of the MAST Portal web interface. Access MAST queries using the same function conventions and return types available for all Astroquery services. Integrate easily with Astropy functionality and other Python analysis tools.

Webservice API

Programmatic access to MAST data through HTTPS requests. The most direct way to programmatically access data in MAST, it is language agnostic, requiring only the ability to send/receive HTTPS requests.

Classic API

Search MAST using HTTP GET requests. The results can be returned in a variety of formats including HTML, VOTable XML format, Excel spreadsheet, and comma-separated values, which can simplify ingesting results into user-written programs.

High Level Science Products


Publishing Resources

Bibliographic Search

Find publications that use MAST data.

Digital Object Identifier

Create a digital object identifier (DOI) to provide easy access to specific data sets.

Mission Publications Mailing List

A biweekly email update of STScI flagship and MAST mission publications.

See All Publishing Resources

Guidance and resources to help you properly acknowledge MAST data and missions in your work.

Latest MAST News

MAST Newsletter