High Level Science Products are observations, catalogs, or models that complement, or are derived from, MAST-supported missions. These include Hubble (HST), James Webb (JWST), TESS, PanSTARRS, Kepler/K2, GALEX, Swift, XMM, and others. HLSPs can include images, spectra, light curves, maps, source catalogs, or simulations. They can include observations from other telescopes, or data that have been processed in a way that differs from what's available in the originating archive.  All HLSPs are public immediately with no proprietary periods.  Use the filters below to discover HLSP. Search HLSP by coordinates or filenames on MAST Classic. Or, see all HLSPs in a simplified, searchable table.



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Listing Results

Results: 205

COS Legacy Archive Spectroscopic SurveY (CLASSY)

The COS Legacy Spectroscopic SurveY (CLASSY) is a treasury survey that builds on the Hubble Space Telescope (HST) archive to construct the first high-quality, high-resolution far-ultraviolet (far-UV) spectral database of 45 nearby star-forming galaxies. The survey combines 177 orbits of archival observations with 135 new orbits (312 total orbits) of HST observations, or more than 600 total spectral images taken with the Cosmic Origins Spectrograph (COS). The CLASSY Treasury sample contains 45 star-forming galaxies selected to span similar properties as seen at high redshift, with a large range of masses, metallicities, ionization parameters, and densities, but enhanced star formation rates. The CLASSY spectral atlas contains a suite of emission and absorption features that enable investigations of the massive stellar population properties, the physical properties of large-scale outflows that regulate star formation, and the chemical abundance patterns of the gas and stars. Further, CLASSY will improve the diagnostic power of the rest-frame UV lines for use by future JWST/ELT surveys, providing a long-lasting legacy to the astronomical community for decades to come.

BlueTides Mock Image Catalogue (BLUETIDES)

The BlueTides Mock Image Catalogue is a catalogue of mock images of roughly 100,000 MUV= -22.5 to -19.6 mag galaxies from the BlueTides hydrodynamical simulation at z=7, 8, 9, 10, 11 and 12. This includes mock images of these galaxies with the James Webb, Hubble, Roman, and Euclid Space Telescopes, as well as Subaru and VISTA, in a range of near- and mid-infrared filters. These images are created from the stellar particle distribution of BlueTides galaxies, as determined through the detailed hydrodynamics of the cosmological simulation. Each star particle in each galaxy is assigned an SED based on its age and metallicity, and nebular continuum, line emission, and dust attenuation are modelled. Fluxes are taken from a convolution of the SEDs with the various filter transmission curves. The images show the 6x6 or 10x10 kpc fields of view surrounding each galaxy, depending on the telescope. The images are binned onto a pixel scale of 0.5 times the native pixel scale of each instrument. These images are convolved with model PSFs, to produce realistic estimates of what true images with these telescopes would look like, although non-convolved images are also available. The catalogue images have no noise, so that they can be adapted for specific use cases. Software for adding noise is available on GitHub, alongside software for accessing and visualising the catalogue data.

Neptune's Dark Vortex NDS-2018 (NDS-2018)

A Northern Dark Spot discovered in 2018 (NDS-2018) was detected in the annual observations of Neptune from the OPAL program. Once 2019 OPAL data showed that the spot was drifting very close to the equator, additional observing programs were conducted to understand how the dark vortex was changing on shorter time scales, and to capture finer detail by taking a higher number of blue (F467M) images in each HST orbit. Dark spots require high spatial resolution at blue wavelengths to be observed, so no ground-based observatory has yet published a detection of one. Only the Voyager 2 spacecraft and Hubble have made published observations of dark vortices on Neptune. Wong et al. (2022) reviews the overall collection of HST imaging data from the WFC3/UVIS instrument. These have been processed to correct for geometric distortion, cosmic ray hits, and fringing (at narrowband red wavelengths), then navigated to define latitude, longitude, emission, and incidence angles for each pixel. Frames have been corrected for loss of contrast due to scattered light from the wings of the point spread function, and limb darkening and large-scale zonal brightness variation were removed by constructing difference images. The team prepared stacks of coadded difference images to maximize PSF sampling and to reduce noise from pixel instability.

Roman Strongly Lensed Supernova Simulations (RSLSS)

Using anticipated characteristics of the Roman Space Telescope Type Ia supernova (SN Ia) survey, the team has constructed mock catalogs of expected resolved lensing systems and strongly lensed Type Ia and core-collapse (CC) SN light curves, including microlensing effects. The data products include mock catalogs for four Roman SN Ia survey variants and the High Latitude Survey (HLS), as well as 2.4 million simulated light curves (600k for each of 4 SN classes: Ia, Ibc, IIn, IIP) based on the Hounsell et al. 2018 "Allz" strategy. These products were used to predict that Roman will find ~11 lensed SNIa and ~20 CCSN for the fiducial SN Ia surveys, with a time delay precision of ~2 and 3 days (measured with the SNTD package:, respectively. The predicted parameters were then used to construct Fisher matrices, also included, and derive projected constraints on cosmological parameters for each SN Ia survey strategy.

Hubble Space Telescope Atlases of Cluster Kinematics (HACKS)

A number of studies based on data collected by the Hubble Space Telescope (HST) GO-13297 program “HST Legacy Survey of Galactic Globular Clusters: Shedding UV Light on Their Populations and Formation" have investigated the photometric properties of a large sample of Galactic globular clusters and revolutionized our understanding of their stellar populations. In this project, the authors expand previous studies by focusing on the stellar clusters’ internal kinematics. The authors computed proper motions for stars in 56 globular clusters and one open cluster by combining the GO-13297 images with archival HST data. The astro-photometric catalogs released with this paper represent the most complete and homogeneous collection of proper motions of stars in the cores of stellar clusters to date, and expand the information provided by the current (and future) Gaia data releases to much fainter stars and into the crowded central regions. At the dawn of a new era in astronomy with the first light of the James Webb Space Telescope (JWST), the legacy that these proper-motion catalogs offer is further enhanced, since they can serve as an important astrometric benchmark for JWST-based data reduction and tools.

TESS Eclipsing Binaries (TESS-EBS)

TESS-EBs is a catalog containing locations, ephemerides and basic light curve properties for eclipsing binary stars found in data from the Transiting Exoplanet Survey Satellite (TESS). Prša et al. 2022 discuss the selection criteria for eclipsing binary candidates, the detection of hither-to unknown eclipsing systems, the determination of ephemerides, the validation and triage process, and the derivation of heuristic estimates for the ephemerides. They also present statistical properties of the sample and qualitative estimates of completeness. Instead of keeping to the widely used discrete classes, the authors propose a binary star morphology classification based on a dimensionality reduction algorithm. The catalog will continue to be updated with new sectors of data as they become available. The deliverables presented here are curated by the TESS Eclipsing Binary Working Group, an open group of professional and citizen scientists.


Ivan Hubeny has updated the TLusty OB NLTE model SED grids of Lanz & Hubeny (2003) and Lanz & Hubeny (2007) using a more complete hydrogen atom to produce more realistic IR flux predictions. In particular, the new NLTE spectra have a much better description of line confluences and of the contribution to the opacity in very high series members. In addition, there are improvements in the treatment of the hydrogen and He II continua from high levels, inclusion of more scattering opacity sources, and updates to the physics of level dissolution. Each model has 29957 points at constant spectral resolution of R=5000 and a micro-turbulent velocity of 2 km/s. The Asplund et al. (2009) element abundances are used for computing the spectra. The grid contains 1082 model pairs of spectra and continua and covers effective temperature Teff in the range 15,000-55,000 K and surface gravity log(g) between 1.75 and 4.75, with steps of 0.25. The steps in Teff are 1,000 K between 15,000 and 29,000 K and 2,500 K between 30,000 and 55,000 K. As Teff rises, more of the unstable lower surface gravities are omitted. There are five metallicity values log Z=[M/H] of 0.301, 0.000, -0.301, -0.70, and -1.00, which correspond to Z=2, 1, 0.5, 0.2, and 0.1, where Z=1 is the solar value. The continuum spectra have a coarser wavelength scale than the spectra. Both ASCII text and FITS versions of the SEDs are provided. The wavelengths are in Angstroms measured in vacuum, while the fluxes are in erg/cm**2/s/Angstrom.

Search For The Brightest of Reionizing Galaxies (SUPERBORG)

SuperBoRG is an archival project that primarily aims to search for luminous galaxies and quasars at redshifts z > 7. SuperBoRG compiled HST’s multi-band imaging data previously taken in parallel observations designed for extragalactic science and reduced all data in a consistent manner. From both pure-parallel and coordinated-parallels programs with WFC3 in the past decade, it collected 316 independent sightlines with multi-band imaging data at moderate depth. The total area reaches ~0.41 deg^2, making it one of the largest area, extragalactic datasets. All data were reduced with a new pipeline with a few updates from the previous BoRG HLSP data release, including sophisticated sky subtraction and PSF matching. This data release includes imaging data and catalogs.

TESS FFI-Based Light Curves from the GSFC Team (GSFC-ELEANOR-LITE)

The TESS Full Frame Images (FFIs) present a wealth of opportunity for discovery.  The team aims to make this opportunity accessible to the entire community by providing the FFI light curves of all stars brighter than 16 mag from the primary mission (Years 1 and 2; Sectors 1–26) for public release.  This includes a total of over 150 million light curves, making it the largest set of TESS light curves released to date.  The light curves were constructed using the eleanor python library (Feinstein et al., 2019) in an offline, parallel implementation on the Discover supercomputer at the NASA Center for Climate Simulation (NCCS).  The eleanor-lite format in which they are stored allows for a relatively low memory requirement per light curve, providing for bulk storage and fast transfer of the light curves.  This format will facilitate large-scale analysis of the light curves, such as algorithmic and machine learning approaches to finding signals of interest to the user.

A Wide-Field WFC3 Imaging Survey with Grism Spectroscopy in the COSMOS Field (3D-DASH)

The 3D-Drift And SHift (3D-DASH) program is a Hubble Space Telescope WFC3 F160W imaging and G141 grism survey of the equatorial COSMOS field. 3D-DASH is the widest HST/WFC3 imaging survey in the F160W filter to date, subsuming the COSMOS-DASH pilot survey. 3D-DASH extends the legacy of HST near-infrared imaging and spectroscopy to degree-scale swaths of the sky, enabling the identification and study of distant galaxies (z > 2) that are rare or in short-lived phases of galaxy evolution at rest-frame optical wavelengths.

Jupiter Great Red Spot Velocity Fields from HST/WFC3 (GRS-WFC3)

High precision velocity fields of Jupiter's Great Red Spot (GRS) have been created by correlating sequences of WFC3/UVIS images spanning typical sequence durations of 10 hours. The analysis, results, and high-level science products are described in a paper by Wong et al. (2021), entitled 'Evolution of the Horizontal Winds in Jupiter's Great Red Spot from One Jovian Year of HST/WFC3 Maps.' Velocities were measured using the Advection Corrected Correlation Image Velocimetry (ACCIV) software, which was described in Asay-Davis et al. (2009) and is available at GitHub.

Sloan Digital Sky Survey Giant Arcs Survey (SGAS)

Strong gravitational lensing models for 37 galaxy clusters from the Sloan Digital Sky Survey Giant Arcs Survey (SGAS) are made available as HLSP, observed by HST GO13003 Cycle 20 large program (PI: Gladders). The lens models are constructed based on multi-band HST WFC3 imaging. The team supplemented these imaging data with ground-based imaging and spectroscopy from Magellan, Gemini, Apache Point Observatory, and the Multiple Mirror Telescope, in order to detect and spectroscopically confirm new multiply imaged lensed background sources behind the clusters. In the paper that accompanies this data release, Sharon et al. (2020), the team report the list of lensing constraints, and spectroscopic or photometric redshifts of sources in these fields, including cluster galaxies and background sources. The strong lensing mass models are constructed based on all available lensing evidence. The HLSP include lens model outputs (kappa, gamma) for the best-optimized model and a range of maps drawn from sets in the MCMC that sample the parameter space, from which one can derive lens model properties such as cluster masses, magnification, deflection, and their uncertainties. The models were produced using the parametric lens modeling LENSTOOL (Jullo et al. 2007).

Physics at High Angular resolution in Nearby GalaxieS - Catalogs (PHANGS-CAT)

The PHANGS program is building the first dataset to enable the multi-phase, multi-scale study of star formation across nearby spiral galaxies, by combining Atacama Large Millimeter/submillimeterArray (ALMA) CO(2-1) mapping, Very Large Telescope/Multi Unit Spectroscopic Explorer (VLT/MUSE) optical spectroscopy, and Hubble Space Telescope (HST) UV-optical imaging. Here, the team provides catalog products from the PHANGS survey, the HST portion of which is obtaining five band NUV-U-B-V-I imaging of the disks of 38 spiral galaxies at distances of 4-23 Mpc, and parallel V and I band imaging of their halos, to provide a census of tens of thousands of compact star clusters and associations. The combination of HST, ALMA, and VLT/MUSE observations will yield an unprecedented joint catalog of the observed and physical properties of ~100,000 star clusters, associations, HII regions, and molecular clouds. The PHANGS-CAT products (Version 1) provide compact cluster (CLUST) catalogs and multi-scale association (ASSOC) catalogs for five galaxies observed with HST as part of the PHANGS-HST project. The corresponding HST imaging products are available as the PHANGS-HST High Level Science Products. The team provides two kinds of compact cluster catalogs (CLUST products): human classified and machine learning (ML) classified. Only class 1 (symmetric, centrally concentrated, radial profile extended relative to point source), and class 2 (asymmetric, centrally concentrated, radial profile extended relative to point source) clusters are included. The multi-scale stellar associations (ASSOC products) are determined using both the HST NUV (F275W) and V-band (F555W) to independently delineate the stellar associations in each galaxy. The associations are calculated at three or four physical scale levels depending on the distance of the galaxy. The physical scale levels of the associations correspond to (8pc, 16pc, 32pc,64pc), or (16pc, 32pc, 64pc) for more distant galaxies. A flowchart of the entire cluster and multi-scale association processing pipeline (from Lee et al. 2022) illustrates the entire process.

Simulated TESS Light Curves for Measuring Rotation with Deep Learning (SMARTS)

Conventional methods of detecting stellar rotation from TESS light curves have struggled to obtain periods longer than 13.7 days due to complicated systematics related to the telescope's orbit. Machine learning has been shown to see beyond TESS's systematics and obtain long periods, but it requires large training sets with known rotation periods. SMARTS is a training set of synthetic light curves and binned wavelet transforms designed to mimic the full-frame image light curves of the TESS continuous viewing zones. The light curves were generated using physically realistic spot evolution models and include rotation, varying activity levels, magnetic cycles, spot emergence and decay, and latitudinal differential rotation. They are combined with real TESS galaxy light curves and stitched sector-to-sector to emulate TESS's systematics and noise. This HLSP contains 1 million simulations spanning rotation periods of 0.1—180 days.

Mock Image Training Sets for DeepMerge (DEEPMERGE)

To investigate the use of Convolutional Neural Networks (CNNs) for distinguishing between simulated distant (z=2) merging and non-merging galaxies, the authors created two versions of mock data mimicking Hubble Space Telescope and James Webb Space Telescope observations: pristine (simulated galaxy images with PSF blurring) and noisy (simulated galaxy images with PSF and observational noise). The accuracy of the CNN model on the test set is 79% (76%) on the pristine (noisy) mock data. The CNN outperforms a Random Forest classifier (Snyder et al. 2019), which was shown to be superior to conventional one- or two-dimensional statistical methods (Concentration, Asymmetry, the Gini, M20 statistics etc.), which are commonly used when classifying merging galaxies. These data were derived from the z=2 snapshot of the Illustris-1 simulation from the Illustris Project.