A template for submission to the proceedings for the Summer Student Research Symposium of the Keck North East Astronomy Consortium (KNAC) program. We used to be an REU, now internally funded by member institutions, the symposium is open to all undergraduates doing astronomy related research either at any of the KNAC locations, or who are from a KNAC institution. Based largely on AASTeX format. Last updated Summer 2024 - changes year to year are usually very minor.
This is an exact copy of the official NRC Astro2020 white paper LaTeX template. Re-published for community use on Overleaf by Jason Tumlinson (STScI / JHU).
The Journal of Logic and Computation aims to promote the growth of logic and computing, including, among others, the following areas of interest: Logical Systems, such as classical and non-classical logic, constructive logic, categorical logic, modal logic, type theory, feasible maths. The bulk of the content is technical scientific papers, although letters, reviews, and discussions, as well as relevant conference reviews, are included. For more information about the journal, see http://pasj.oxfordjournals
This is the LaTeX template for the Royal Society Open Science – a fast, open journal publishing high quality research across all of science, engineering and mathematics.
A&A LaTeX macro package v9.1
downloaded from http://ftp.edpsciences.org/pub/aa/readme.html
Note: In order to avoid the spurious warnings described in this TeX StackExchange post, this template is configured to create projects using TeX Live 2020.
With the detectors currently off, LIGO has detected and gathered an abundance of data from the second observing run (O2). Some of which, captures the most recent triggers that are potential candidates for future gravitational waves, are analyzed more thoroughly. My responsibility as a student researcher is to perform independent checks on four of the most recent Compact Binary Coalescence (CBC) triggers. In order to do so, I compare the \(h(t)\) Omega scans of these events to the Gravity Spy classes. Omega scans are a detector characterization tool to help measure the Signal-to-Noise-Ratio (SNR) of transient noises during detections. This helps scientists distinguish the difference between a gravitational wave signal, which looks like a `chirp' versus a glitch in the data. Gravity Spy is a citizen science program that helps LIGO in classifying glitches to improve machine learning for gravitational wave signals. For each event I determine if it looks like one of the known categories of solved or unsolved glitches seen in the Advanced LIGO detectors? My results are then recorded in the O2 event detection checklist. Omega scans are a `burst-type' search pipeline that detect glitches efficiently. The Omega scan is labeled using time measured in seconds on the x-axis, frequency measured in Hz on the y-axis and the signal measured is normalized to demonstrate how `loud' the noise is.