5 papers
Measuring Task-Agnostic Training Data Influence Across Language Model Pretraining
Yuto Nishida, Hirokazu Kiyomaru, Yusuke Oda +6
Measuring training data influence consistently across language model pretraining is challenging. It is difficult to select downstream tasks or validation sets representative of a m…
Spectral Data-cube Cleaning for CCAT Deep Spectroscopic Survey. I. Effect of correlated noise and filtering on the power spectrum
A. Dev, C. Karoumpis, Y. Okada +8
The Epoch of Reionization Spectrometer (EoR-Spec) on the Fred Young Submillimeter Telescope (FYST) will conduct the CCAT Deep Spectroscopic Survey (DSS) to perform line-intensity m…
On-orbit Calibration of the Carruthers GCI: Photon Background Removal
Alex Zhang, Heather Filippini, Jackson Craig +4
The Carruthers Geocorona Observatory, launched in September 2025, is NASA's first mission devoted to investigating the fundamental nature of Earth's exosphere from its distant vant…
Carruthers Data Processing Pipeline: Radiometric Responsivity Calibration
Alex Zhang, Lara Waldrop, Heather Filippini +5
The Carruthers Geocorona Observatory is NASA's first mission dedicated to investigating the fundamental nature of Earth's exosphere and its dynamic response to space weather. Its p…
Testing masking effectiveness using multi-line image cubes based on COSMOS2020 for [CII] line intensity mapping at
J. Clarke, C. Karoumpis, A. Dev +5
We created line intensity mapping intensity cubes for CO and [CII] emission lines using the COSMOS2020 galaxy catalogue, forming predictions based on empirical data, for observatio…