Projects

The Astrophysics Data System (ADS) is a digital library portal for researchers in astronomy and physics.

AstroAI is a center dedicated to the development of artificial intelligence to enable next generation astrophysics at the Harvard and Smithsonian Center for Astrophysics. AstroAI strives to bring experts in artificial intelligence together with scientists to tackle the most exciting and challenging problems in astrophysics.

The Chandra Data Archive is the ultimate repository of all data produced by Chandra, which is made

available to the astronomical community through ad hoc interfaces and Virtual Observatories services.

We promote usage of Chandra data by facilitating its discovery, search, retrieval and by making it easily

citable through Digital Object Identifiers. We also measure the scientific impact of Chandra by collecting and curating the Chandra bibliography.

The Chandra Source Catalog (CSC) is the definitive catalog of astrophysical X-ray sources detected by the Chandra X-ray Observatory. It includes measured properties for over 400,000 unique compact and extended X-ray sources in the sky, allowing statistical analysis of large samples, as well as individual source studies.

CIAO is the software package developed by the Chandra X-Ray Center for analyzing data from the Chandra X-ray Telescope. It can also be used with data from other Astronomical observatories, whether ground or space based.

Cosmic Data Stories is a NASA-funded project developing online resources for teaching data science skills to the public. Data Stories are built using research-grade open-source software tools, glue and World Wide Telescope, and designed with a beginner-friendly user interface.

DASCH is the project to digitize the Harvard College Observatory’s Astronomical Photographic Glass Plate Collection for scientific applications. This irreplaceable resource provides a means for systematic study of the sky on 100-year time scales.

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Python modules for simulating and manipulating VLBI data and producing images with regularized maximum likelihood methods developed by the Event Horizon Telescope (EHT).

Glue is an open-source Python library used to explore relationships within and between related datasets. Designed from the ground up to be applicable to a wide variety of data, glue is used on astronomy data of star forming-clouds, medical data including brain scans, and many other kinds of data.

MetaSat is an open metadata vocabulary used to describe spacecraft.

The Harvard and Smithsonian Center for Astrophysics (CfA) Nexus is a cloud-based data science platform that allows for seamless access, visualization, and analysis of multi-wavelength CfA data holdings using an infrastructure based on the Rubin Science Platform (RSP). 

SAO Image DS9 is an astronomical imaging and data visualization application. DS9 supports FITS images and binary tables, multiple frame buffers, region manipulation, and many scale algorithms and color maps.

The OIR Telescope Data Center maintains the OIR Science Archive where over 100K spectra and redshifts are available for search and download, including access via Virtual Observatory tools. The TDC also writes and distributes a suite of software tools to facilitate observation planning, data reduction, and analysis of optical data obtained with the Harvard and Smithsonian Center for Astrophysics' ground-based optical telescopes.

The Sensing the Dynamic Universe (SDU) project seeks to make accessible to the widest possible audience the marvelous diversity of celestial variables with a taste of the astrophysics that makes them vary. SDU wants to help you sense, understand and appreciate many types of variables, including single stars, binary stars, neutron stars, black holes, supernovae, quasars and more, using sonified light curves and spectra.

Sherpa is the CIAO modeling and fitting application. It enables the user to construct complex models from simple definitions and fit those models to data, using a variety of statistics and optimization methods. 

The SMA Data Archive provides the astronomy community with an easy interface to all 180TB of data from the Submillimeter Array in Hawaii. 

The Unified Astronomy Thesaurus (UAT) is an open, interoperable and community-supported thesaurus which unifies the existing divergent and isolated Astronomy & Astrophysics thesauri into a single high-quality, freely-available open thesaurus formalizing astronomical concepts and their inter-relationships.  

WorldWide Telescope is a suite of free and open source software and data sets that combine to create stunning, interactive scientific visualizations and stories. The WWT ecosystem includes Windows and web applications, a sophisticated Jupyter integration, toolkits for Python and TypeScript/JavaScript, and supporting web services and data processing tools.