Tootfinder

Hot Rocks Survey III: A deep eclipse for LHS 1140c and a new Gaussian process method to account for correlated noise in individual pixels
Mark Fortune, Neale P. Gibson, Hannah Diamond-Lowe, Jo\~ao M. Mendon\c{c}a, Am\'elie Gressier, Daniel Kitzmann, Natalie H. Allen, Prune C. August, Jegug Ih, Erik Meier Vald\'es, Merlin Zgraggen, Lars A. Buchhave, Brice-Olivier Demory, N\'estor Espinoza, Kevin Heng, Kathryn Jones, Alexander D. Rathcke

Hot Rocks Survey III: A deep eclipse for LHS 1140c and a new Gaussian process method to account for correlated noise in individual pixels
Time-series photometry at mid-infrared wavelengths is becoming a common technique to search for atmospheres around rocky exoplanets. This method constrains the brightness temperature of the planet to determine whether heat redistribution is taking place - indicative of an atmosphere - or whether the heat is reradiated from a low albedo bare rock. By observing at 15$μ$m we are also highly sensitive to CO$_2$ absorption. We observed three eclipses of the rocky super-Earth LHS 1140c using MIRI/Im…

Confidence intervals for forced alignment boundaries using model ensembles
Matthew C. Kelley
https://arxiv.org/abs/2506.01256 https://

Confidence intervals for forced alignment boundaries using model ensembles
Forced alignment is a common tool to align audio with orthographic and phonetic transcriptions. Most forced alignment tools provide only a single estimate of a boundary. The present project introduces a method of deriving confidence intervals for these boundaries using a neural network ensemble technique. Ten different segment classifier neural networks were previously trained, and the alignment process is repeated with each model. The alignment ensemble is then used to place the boundary at th…