Supernova neutrino detection in NOvA

The NOvA long-baseline neutrino experiment uses a pair of large, segmented, liquid-scintillator calorimeters to study neutrino oscillations, using GeV-scale neutrinos from the Fermilab NuMI beam. These detectors are also sensitive to the flux of neutrinos which are emitted during a core-collapse supernova through inverse beta decay interactions on carbon at energies of O(10 MeV). This signature provides a means to study the dominant mode of energy release for a core-collapse supernova occurring in our galaxy. We describe the data-driven software trigger system developed and employed by the NOvA experiment to identify and record neutrino data from nearby galactic supernovae. This technique has been used by NOvA to self-trigger on potential core-collapse supernovae in our galaxy, with an estimated sensitivity reaching out to 10 kpc distance while achieving a detection efficiency of 23% to 49% for supernovae from progenitor stars with masses of 9.6 M☉ to 27 M☉, respectively

A Computer-Assisted Analysis of Small Group Process: An Investigation of Two Machiavellian Groups

Explored whether the WORDS computer program could assist in pinpointing Machiavellian behaviors in a group discussion situation. 60 Ss were administered the Mach IV and Mach V instruments. Ss who scored below the 25th percentile were labeled low Machs. Midddle Machs were those who scored within 1 standard deviation of the median, and high Machs were those who scored above the 75th percentile. After a group discussion task, transcripts were punched into a computer, which reduced the data base to the 215 most frequently occurring words. Results indicate that the high Mach was one of the most frequent participators and provided much specific task information. Results do not indicate how the frequency of words related to influence on decision-making in the groups, unless it is by saturating the group with task-relevant information during critical phases of discussion