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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. Use the filters below to discover HLSP.

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Listing Results

Results: 161

Cluster Difference Imaging Photometric Survey (CDIPS)

The TESS mission has been releasing full-frame images recorded at 30 minute cadence. Using the TESS images, the CDIPS team has begun a Cluster Difference Imaging Photometric Survey (CDIPS), in which they are making light curves for stars that are candidate members of open clusters and moving groups. They have also included stars that show photometric indications of youth. Each light curve represents between 20 and 25 days of observations of a star brighter than Gaia Rp magnitude of 16. The precision of the detrended light curves is generally in line with theoretical expectations. The pipeline is called 'cdips-pipeline', and it is available for inspection as a GitHub repository, and should be cited as an independent software reference (Bhatti et al., 2019, http://doi.org/10.5281/zenodo.3370324). The first CDIPS data release contains 159,343 light curves of target stars that fell on silicon during TESS Sectors 6 and 7. They cover about one sixth of the galactic plane. The target stars are described and listed in Bouma et al. 2019. They are stars for which a mix of Gaia and pre-Gaia kinematic, astrometric, and photometric information suggest either cluster membership or youth.

Hubble Catalog of Variables (HCV)

The Hubble Catalog of Variables (HCV) is the first full, homogeneous, catalog of variable sources found in the Hubble Source Catalog (HSC), which is built out of publicly available images obtained with the WFPC2, ACS and WFC3 instruments onboard the Hubble Space Telescope. The HCV is the deepest catalog of variables available. It includes variable stars in our Galaxy and nearby galaxies, as well as transients and variable active galactic nuclei. The HCV contains 84,428 candidate variable sources (out of 3.7 million HSC sources that were searched for variability) with V <= 27 mag; for 11,115 of them the variability is detected in more than one filter. The number of data points in a light curve range from 5 to 120, the time baseline ranges from under a day to over 15 years, while ~8% of variables have amplitudes in excess of 1 mag. Two catalogs are provided in this HLSP: a catalog of variables, and a catalog of objects that are 'constant' within 5-sigma of their median absolute deviation (MAD). The catalog of variables lists for each source the equatorial coordinates, MatchID, GroupID, subgroup, the pipeline classification flag, the expert-validation classification flag, the number of existing instrument and filter combinations for the source, the name of the instrument and filter combination. The filter combination includes: the filter detection flag (set to '1' if variability is detected, or '0' if not), the variability quality flag, the number of measurements in the light curve, the HSC magnitude, the corrected magnitude, the MAD value, and the reduced chi^2 value. For all multi-filter variable candidates, there are extra columns for each additional instrument and filter combination, in which the source is classified as a variable candidate. The catalog of constant sources contains the sources that fall below the 5-sigma detection threshold of the HCV pipeline. These include constant sources and low-amplitude variables that are below the detection threshold. For each source, the columns show the equatorial coordinates, the MatchID, the GroupID, the subgroup, the number of instrument and filter combinations in which individual sources are observed, follwed by the name of each instrument and filter combination for which the following data are given: the number of measurements in the light curve, the HSC magnitude, the corrected magnitude, the MAD value, and the reduced chi^2 value.

Photometric Catalogs from Hubble Frontier Fields (HFFCATALOGS)

HFFCATALOGS presents multiwavelength photometric catalogs derived from HST, VLT, and Spitzer imaging, and catalogs of derived properties, for two Hubble Frontier Fields massive galaxy clusters, Abell 370 and RXC J2248.7-4431 (Bradac et al. 2019). These catalogs were developed by the ASTRODEEP team and used the ASTRODEEP pipeline. Photometric catalog columns include fluxes, magnitudes, and errors for HST WFC3 F160W, F140W, F125W, and F105W; ACS F814W, F606W, and F435W; Spitzer IRAC Channels 1 and 2, and VLT HAWK-I KS; as well as spectroscopic data compiled by Shipley et al. (2018). Property catalog columns include magnifications, photometric redshifts, errors, and goodness of fit, as well as derived stellar masses and star formation rates.

The K2 Bright Star Survey (HALO)

The HALO project produces calibrated light curves of stars from K2 that are brighter than the saturation limit of the detector (~11th magnitude). Light curves of 161 bright stars from K2 Campaign 4 and onwards are provided, derived from the unsaturated scattered-light 'halo' around the stars. Light curve creation relies on optimizing the weights of a linear combination of the pixel time series using a lagged Total Variation minimization, which is demonstrated to work on both saturated and unsaturated K2 targets. After flux extraction from the halo apertures, the light curves are further corrected using the 'k2sc' Gaussian Process systematics-correction code to further correct pointing residuals.

An HST Study of the Crater Stellar System (CRATER)

The Crater object is a faint star system, discovered relatively recently (Belokurov et al. 2014, Laevens et al. 2014), located in the Milky Way's outer halo. The collection presented here is based on optical imaging data of Crater taken with the Advanced Camera for Surveys on the Hubble Space Telescope. The available data includes the resulting catalog of Crater members, a catalog of artificial star tests, as well as an ACS reference image in F814W used for photometry.

A Wide-Field WFC3 Imaging Survey in the COSMOS Field (COSMOS-DASH)

COSMOS-Drift And SHift (COSMOS-DASH) is a Hubble Space Telescope WFC3 imaging survey of the COSMOS field in the F160W filter, comprising 456 WFC3 pointings covering an area of 0.49 deg^2, giving 0.66 deg^2 of total data in the archive. By taking advantage of the unique Drift And SHift (DASH) observing mode, COSMOS-DASH is the widest HST/WFC3 imaging survey in F160W, tripling the extragalactic survey area in the near-infrared at HST resolution.

Space Telescope and Optical Reverberation Mapping (STORM)

Calibrated spectra and models are provided for NGC 5548 from HST/COS observations in the Space Telescope and Optical Reverberation Mapping (STORM) Campaign. The STORM campaign used HST/COS, Swift, Chandra and ground-based facilities in a six-month long reverberation-mapping experiment during 2014. HST observations were made in single-orbit COS visits approximately daily from 2014 February 1 through July 27. Of the 179 scheduled visits. In each visit, the team used the G130M and G160M gratings to observe the UV spectrum over the range 1153—1796 Angstroms in four separate exposures. Exposure times were selected to provide S/N > 100 when measured over velocity bins of ~500 km/s. As described in De Rosa et al. (2015) the team customized the calibrations of these spectra to improve the wavelength calibration, the S/N with better flat fields, and more accurate and repeatable flux calibrations. These reprocessed spectra obtained with the various central wavelength and FPPOS settings were then combined into single spectra for G130M and G160M for each individual observation. The team have also modeled these UV spectra of NGC 5548 to correct for intervening absorption and to deblend the individual emission lines. These spectral models, described by Kriss et al. (2019) are based on merged G130M and G160M spectra for each observation that have been binned by 4 pixels (half a resolution element). Using the modeled spectra, the team produce spectra where absorption intrinsic to NGC 5548 and in the intervening interstellar medium of the Milky Way has been replaced by their emission model to remove the absorption features. Finally, modeled continuum fluxes, deblended emission line fluxes, and the strengths of absorption lines intrinsic to NGC 5548, as tabulated in Kriss et al. (2019) are collected here as well.

TESS Data For Asteroseismology Lightcurves (TASOC)

The TESS Asteroseismic Investigation is organized within the TESS Asteroseismic Science Consortium (TASC). The data platform for TASC is provided via the TESS Asteroseismic Science Operations Center (TASOC), hosted at the Stellar Astrophysics Centre (SAC) at Aarhus University, Denmark. TASOC provides long-term storage of all data products. TASC membership is open to the entire TESS community and any member of TASC can apply to become a member of a given working group within TASC. The TASC Coordinated Activity 'TESS Data for Asteroseismology' (T'DA) is responsible for maintaining the TASOC portal and for providing data products for TASC. Data provided with this release have been extracted using the TASOC Photometry pipeline. The TASOC pipeline used to generate the data is open source and available on GitHub. Before using data prepared by T'DA, the team strongly recommends you read through the TESS data release notes for the Sectors you are interested in, and consult the TESS Instrument Handbook. The initial release (TASOC-0004-01) includes raw aperture photometry light curves for ~1.7 million stars observed in Sectors 1 and 2. No corrections have been applied to the raw light curves. The team is currently implementing a co-trending component of the TASOC pipeline that will be adopted for future releases.

Kepler Smear Campaign (KEPLER-SMEAR)

The Kepler Smear Campaign is a study of the brightest stars in the Kepler field that were not observed conventionally by Kepler. A total of 102 stars have light curves retrieved using smear photometry, where engineering data collected for photometric calibration (collateral 'smear' measurements) can be used to reconstruct light curves for bright targets that did not ohterwise get postage stamps read out. Both short cadence and long cadence light curves are obtained, presented in FITS format. The light curves are detrended following the same approach used by the mission pipeline, applying Pre-search Data Conditioning (PDC) cotrending basis vectors. See Pope et al. (2019) for detailed information on how the light curves are extracted from the collateral smear measurements and detrended.

Spectral Atlas Files for Synphot Software (REFERENCE-ATLASES)

The REFERENCE-ATLASES HLSP presents catalogs and spectral atlases that have been prepared as inputs to the synthetic photometry software package pysynphot. These files are also used in STScI tools such as the HST Exposure Time Calculator. In addition to making the entire collection available in tar format, this HLSP provides access to individual model files for community members who may want to access only a subset of these atlases. This page provides references to the original sources, where applicable.

An Atlas of Galaxy Spectral Energy Distributions from the UV to the Mid-IR (GALSEDATLAS)

GALSEDATLAS presents spectral energy distributions (SEDs), covering the ultraviolet to the mid-infrared, for 129 nearby galaxies spanning a wide range of galaxy types. The SEDs were obtained by combining ground-based optical spectrophotometry with infrared spectroscopy from Spitzer and Akari, and covering gaps in wavelength coverage with SED models. In addition, the authors measured matched-aperture photometry for each source from images taken by Swift-UVOT, GALEX, SDSS, 2MASS, Spitzer, and WISE, enabling mitigation of systematic errors, in order to normalize and constrain the resulting spectra. By providing comprehensive SEDs over a very wide range of galaxy types, GALSEDATLAS will improve K-corrections, photometric redshifts, and star-formation rate calibrations.

CALSPEC: WFC3 IR Grism Spectroscopy (WFC3IR-FLUXCAL)

WFC3IR-FLUXCAL is a collection of 19 spectral energy distributions (SEDs) using HST WFC3IR grism spectroscopy. Two IR grisms, G102 and G141, cover a wavelength range from 0.8-1.7 microns at a resolution of R=200 and R=150, respectively. These WFC3 SEDs overlap existing CALSPEC STIS flux distributions between 0.8-1.0 microns and agree within 1%. The SEDs for the 19 targets are provided in both FITS and ASCII text format. A table of sensitivities is also provided for both grisms. Extracted signals should be divided by these sensitivity values to obtain absolute fluxes, after correcting for changes in sensitivity with time and count rate non-linearity (see Bohlin & Deustua 2019 for complete instructions on how to apply the corrections provided by this HLSP).

Investigating Jupiter's Turbulent Power Spectrum (JTPS)

JTPS (HST proposal ID AR-14585) is an investigatation of the spectral power in Jupiter's cloud features and zonal winds. To complete this project, analyses were done on full global Jupiter maps acquired in many epochs. Several of these are tied to projects with their own HLSP pages. However, some maps have not been previously archived and are provided here. Although initial analyses were performed only on red and near-IR images, all available maps have been posted. The maps are generated by stitching together images from consecutive HST orbits to cover all longitudes of the planet as it rotated. Full global maps require 5-6 HST orbits to span Jupiter's full 10-hour rotation. To make a complete map, individual images are navigated with iterative ellipsoid limb fitting and mapped at 0.1 deg/pixel over +/- 79.8 deg of latitude and centered on the central meridian longitude. Minnaert functions are applied to reduce limb effects, using empirical fits to the k coefficient, ranging from ~0.5 to 0.999 at UV to near IR bands, respectively, but maps before 2014 do not contain absolutely calibrated reflectance. To generate a global map, individual maps are joined at overlapping longitudes, and seams are smoothed with a weighted average at the map edges, typically over ~20 pixels. The seams are most easily observed at high latitudes in filters that are sensitive to high altitude hazes above the cloud deck (UV and methane gas absorption band filters). Note that maps from data before 2009 use WFPC2, which suffered significant vignetting in the methane quad filters (FQCH4P15 and FQCH4N15).

Cosmic Origins Spectrograph Quasar Database for Galactic Absorption Lines (COS-GAL)

COS-GAL provides continuum normalized spectra for 401 QSOs that were made publicly available by the Hubble Spectroscopic Legacy Archive (HSLA; Peeples et al. 2017) as of February 2017. It focuses on a number of Milky Way absorption lines, including SII 1250/1253/1259, SiII 1190/1193/1260/1526, SiIII 1206, SiIV 1393/1402, CIV 1548/1550, PII1152, FeII1142/1143/1144/1608, and CII 1334. The spectra are observed using HST G130M and/or G160M gratings by various COS programs on MAST. When available, COS-GAL also provides corresponding HI 21 cm emission lines from HI4PI (HI4PI Collaboration), LAB (Kalberla et al. 2005), and GALFA-HI (Peek et al. 2018). A catalog of QSO IDs, coordinates, and redshifts based on SIMBAD is also included. For each target, COS-GAL provides FITS files and PDF previews of continuum normalized lines (see files under "FullSpec" category) as well as corresponding continuum normalization process for each line (see files under "Preview Plots" category). COS-GAL is useful for preliminary studies of absorption lines from Milky Way interstellar and circumgalactic media. Users interested in detailed analyses of the provided spectra should inspect the continuum normalization file of each line before use. Any questions or feedback on COS-GAL are welcome.

Mock Data from Vela Cosmological Simulations (VELA)

This project presents synthetic ultra-high-resolution space telescope images spanning the cosmic time evolution of nearly 3 dozen galaxies from the Vela cosmological simulation suite. Based on dust radiative transfer modeling, this dataset contains over 800,000 mock images for 34 broadband HST, JWST, and proposed WFIRST filters.