Research Journal: Adam Oppenheimer

Friday, July 3rd

Restricted the data entries from 1ES1215+303 based on their Test Statistic values to increase the significance of the plot
- Only entries with TS>=100 were kept
The Bayesian Blocks model was repeated on this restricted data graphing the flux relative to time
The flux histograms were redone(both normal and log version) using the restricted dataset
A plot was made plotting dN/dE relative to Pivot Energy

Messed around with the p0 value on the graph indicated to determine a adequate value for the bayesian blocks
Created a few histograms of the flux values, both with the actual flux values and a logarithmic version
- on a first glance, the data does not appear to be normally or lognormally distributed
Simplified the bayesian blocks presentation

Took Gwen's light curve data on the source 1ES 1215+303 and imported it into a separate jupyter notebook
- debugged the code/data to ensure that it would run/graph correctly
Modified Ari's code to create Bayesian Blocks in order to use it in conjunction with Gwen's data
- The end product was a Bayesian Block model of Gwen's light curve

Had a group meeting with Ari, Gwen, Reshmi, and Qi
- Presented the presentation on Bayesian Blocks
- Discussed the future path for research
  - Do Bayesian Block analysis of Gwen's source/numbers
  - eventually might do Bayesian Block analysis of other sources or do fermi analysis on some sources
Figured out how to open up Jupyter Notebook Files through the tehanu cluster
Copied Gwen's source files + code into my analysis folder
Began to play around with Bayesian Blocks in jupyter notebook

Took a tutorial in TWiki to understand how to use and create topics/pages
Set up the research journal on TWiki
Created a powerpoint summarizing the idea of Bayesian Blocks: Findings come from Scargle et al.1998
- Named Week 0 Update.pptx
Downloaded Linux kernel (MobaXterm)
Looked over ways to manipulate/move directories in Unix
Read Intro to FermiPy presentation by Ari