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山中 卓 (大阪大学 大学院理学研究科 物理学専攻)先生が作成された科研費LaTeXを、坂東 慶太 (名古屋学院大学) が了承を得てテンプレート登録しています。 詳細はこちら↓をご確認ください。 http://osksn2.hep.sci.osaka-u.ac.jp/~taku/kakenhiLaTeX/

The xltabular combines the functionalities of longtable and tabularx.

University of Wollongong template for a Research Thesis manuscript—this template is for Faculty of Informatics theses. This template was originally published on ShareLaTeX and subsequently moved to Overleaf in November 2019.

Xiaoying Zhang's Curriculum Vitae

LaTeX template designed for typesetting BSc MSc MPhil and PhD theses for University of Aberdeen degrees. This template was originally published on ShareLaTeX and subsequently moved to Overleaf in November 2019.

Plantilla oficial para las XL Jornadas de Automática Ferrol, Septiembre de 2019

Presentation template for the Faculty of Environmental Sciences Czech University of Life Sciences Prague

LaTeX thesis template for theses of Institute for Research in Electronics and Applied Physics (IREAP) according to The University of Maryland Electronic Thesis and Dissertation (ETD) Style Guide. This template was originally published on ShareLaTeX and subsequently moved to Overleaf in November 2019.

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.