activity
20232026
most cited`pgmuvi`: Quick and easy Gaussian Process Regression for multi-wavelength astronomical timeseries

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

astro-ph.HE2026

Very High-Energy GRB Afterglow Fits with Neural-Network Emulation and Bayesian inference

Edilberto Aguilar-Ruiz, Jessica Saldívar Talavera, Ramandeep Gill +1

The very high-energy ( GeV) afterglow emission in gamma-ray bursts (GRBs) can be explained by synchrotron self-Compton (SSC). Modeling this emission accurately requires fu…

astro-ph.GA2026

Effects of temperature-dependent optical properties on the determination of interstellar dust masses

Lapo Fanciullo, Jonathan P. Marshall, Francisca Kemper +2

Accurate measurements of interstellar dust mass are key to answering several astrophysical questions. A common method of obtaining the mass is to fit the far-infrared thermal emiss…

astro-ph.IM2025

Why every solar eclipse viewing event needs a disco ball

Valerie A. Rapson, Alex Pietrow, Robert J. Cumming +12

Solar eclipses offer unparalleled opportunities for public engagement in astronomy. Large groups of people often gather to view eclipses, and these events require affordable and ea…

astro-ph.GA2024★ 1 cited

SMC-Last Extracted Photometry

T. A. Kuchar, G. C. Sloan, D. R. Mizuno +11

We present point-source photometry from the Spitzer Space Telescope's final survey of the Small Magellanic Cloud (SMC). We mapped 30 square degrees in two epochs in 2017, with the…

astro-ph.IM2023★ 1 cited

`pgmuvi`: Quick and easy Gaussian Process Regression for multi-wavelength astronomical timeseries

P. Scicluna, S. Waterval, D. A. Vasquez-Torres +2

Time-domain observations are increasingly important in astronomy, and are often the only way to study certain objects. The volume of time-series data is increasing dramatically as…