SuperRAENN: A Semisupervised Supernova Photometric Classification Pipeline Trained on Pan-STARRS1 Medium-Deep Survey Supernovae (2020)
Journal Article
Villar, V. A., Hosseinzadeh, G., Berger, E., Ntampaka, M., Jones, D. O., Challis, P., …Waters, C. (2020). SuperRAENN: A Semisupervised Supernova Photometric Classification Pipeline Trained on Pan-STARRS1 Medium-Deep Survey Supernovae. Astrophysical Journal, 905(2), Article 94. https://doi.org/10.3847/1538-4357/abc6fd

Automated classification of supernovae (SNe) based on optical photometric light-curve information is essential in the upcoming era of wide-field time domain surveys, such as the Legacy Survey of Space and Time (LSST) conducted by the Rubin Observator... Read More about SuperRAENN: A Semisupervised Supernova Photometric Classification Pipeline Trained on Pan-STARRS1 Medium-Deep Survey Supernovae.

Photometric Classification of 2315 Pan-STARRS1 Supernovae with Superphot (2020)
Journal Article
Hosseinzadeh, G., Dauphin, F., Villar, V. A., Berger, E., Jones, D. O., Challis, P., …Waters, C. (2020). Photometric Classification of 2315 Pan-STARRS1 Supernovae with Superphot. Astrophysical Journal, 905(2), Article 93. https://doi.org/10.3847/1538-4357/abc42b

The classification of supernovae (SNe) and its impact on our understanding of explosion physics and progenitors have traditionally been based on the presence or absence of certain spectral features. However, current and upcoming wide-field time-domai... Read More about Photometric Classification of 2315 Pan-STARRS1 Supernovae with Superphot.

Pan-STARRS Pixel Analysis: Source Detection and Characterization (2020)
Journal Article
Magnier, E. A., Sweeney, W., Chambers, K., Flewelling, H., Huber, M., Price, P., …Wainscoat, R. (2020). Pan-STARRS Pixel Analysis: Source Detection and Characterization. Astrophysical Journal Supplement, 251(1), Article 5. https://doi.org/10.3847/1538-4365/abb82c

Over 3 billion astronomical sources have been detected in the more than 22 million orthogonal transfer CCD images obtained as part of the Pan-STARRS1 3π survey. Over 85 billion instances of those sources have been automatically detected and character... Read More about Pan-STARRS Pixel Analysis: Source Detection and Characterization.

The Pan-STARRS1 Database and Data Products (2020)
Journal Article
Flewelling, H., Magnier, E., Chambers, K., Heasley, J., Holmberg, C., Huber, M., …Shiao, B. (2020). The Pan-STARRS1 Database and Data Products. Astrophysical Journal Supplement, 251(1), Article 7. https://doi.org/10.3847/1538-4365/abb82d

This paper describes the organization of the database and the catalog data products from the Pan-STARRS1 3π Steradian Survey. The catalog data products are available in the form of an SQL-based relational database from MAST, the Mikulski Archive for... Read More about The Pan-STARRS1 Database and Data Products.

The Pan-STARRS Data-processing System (2020)
Journal Article
Magnier, E. A., Chambers, K., Flewelling, H., Hoblitt, J., Huber, M., Price, P., …Wainscoat, R. (2020). The Pan-STARRS Data-processing System. Astrophysical Journal Supplement, 251(1), Article 3. https://doi.org/10.3847/1538-4365/abb829

The Pan-STARRS data-processing system is responsible for the steps needed to downloaded, archive, and process all images obtained by the Pan-STARRS telescopes, including real-time detection of transient sources such as supernovae and moving objects i... Read More about The Pan-STARRS Data-processing System.

Pan-STARRS Photometric and Astrometric Calibration (2020)
Journal Article
Magnier, E. A., Schlafly, E. F., Finkbeiner, D. P., Tonry, J., Goldman, B., Röser, S., …Wainscoat, R. (2020). Pan-STARRS Photometric and Astrometric Calibration. Astrophysical Journal Supplement, 251(1), Article 6. https://doi.org/10.3847/1538-4365/abb82a

We present the details of the photometric and astrometric calibration of the Pan-STARRS1 3π Survey. The photometric goals were to reduce the systematic effects introduced by the camera and detectors, and to place all of the observations onto a photom... Read More about Pan-STARRS Photometric and Astrometric Calibration.

Pan-STARRS Pixel Processing: Detrending, Warping, Stacking (2020)
Journal Article
Waters, C., Magnier, E., Price, P., Chambers, K., Burgett, W., Draper, P., …Wood-Vasey, W. (2020). Pan-STARRS Pixel Processing: Detrending, Warping, Stacking. Astrophysical Journal Supplement, 251(1), Article 4. https://doi.org/10.3847/1538-4365/abb82b

The Pan-STARRS1 (PS1) Science Consortium has carried out a set of imaging surveys using the 1.4 gigapixel GPC1 camera on the PS1 telescope. As this camera is composed of many individual electronic readouts and covers a very large field of view, great... Read More about Pan-STARRS Pixel Processing: Detrending, Warping, Stacking.

Cross-correlating Planck with VST ATLAS LRGs: a new test for the ISW effect in the Southern Hemisphere (2020)
Journal Article
Ansarinejad, B., Mackenzie, R., shanks, T., & Metcalfe, N. (2020). Cross-correlating Planck with VST ATLAS LRGs: a new test for the ISW effect in the Southern Hemisphere. Monthly Notices of the Royal Astronomical Society, 493(4), 4830-4844. https://doi.org/10.1093/mnras/staa592

The Integrated Sachs-Wolfe (ISW) effect probes the late-time expansion history of the universe, offering direct constraints on dark energy. Here we present our measurements of the ISW signal at redshifts of z¯=0.35⁠, 0.55 and 0.68, using the cross-co... Read More about Cross-correlating Planck with VST ATLAS LRGs: a new test for the ISW effect in the Southern Hemisphere.