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.
Este formato es para tesis de licenciatura. Ya existe una en la galería de overleaf, pero no te permite modificar la portada a tu gusto, es decir, en este formato puedes cambiar la posición de cada objeto; cambiar tutor a tutores o incluso escribir asesore en lugar de tutores. También se puede ajustar los tamaños de texto y el acomodo de las barras.
This example demonstrates how to write polyphonic or instrumental music on Overleaf, using M-Tx (.mtx) syntax.
This was made possible with a custom latexmkrc file. The music piece examples here were taken from the M-Tx documentation.
This is a template for the AI Matters articles, a newsletter of the ACM Special Interest Group in Artificial Intelligence (SIGAI) that features ideas and announcements of interest to the AI community.
For more details and submission instructions, please check our website: https://sigai.acm.org/aimatters/about.html
This is an unofficial general-purpose template for articles in Nature Reviews Physics based on the information about the journal and the guide to authors available at: https://www.nature.com/natrevphys/
Modelo de relatório de experimento para as disciplinas experimentais do Instituto de Física da Universidade de Brasília (UnB). Elaborado pelo Prof. Júnio M. R. Cruz e disponibilizado no Overleaf pelo Prof. Leonardo Luiz e Castro.