Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp011831cn311| Title: | Analysis of Systematic Errors in Experiments with Variable Errors |
| Authors: | Suero, Pablo |
| Advisors: | Romalis, Michael V. |
| Contributors: | Marlow, Daniel R. |
| Department: | Physics |
| Class Year: | 2015 |
| Abstract: | We explore various methods for the recognition and analysis of systematic errors in experiments whose errors come from different distributions, or are not gaussian distributed. First, we explore a method for detecting whether linear-looking data actually has a squared term dependency in it. Then, we apply the bootstrap method to calculate confidence intervals in the presence of 1/f noise. |
| Extent: | 36 pages |
| URI: | http://arks.princeton.edu/ark:/88435/dsp011831cn311 |
| Type of Material: | Princeton University Senior Theses |
| Language: | en_US |
| Appears in Collections: | Physics, 1936-2020 |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| PUTheses2015-Suero_Pablo.pdf | 1.04 MB | Adobe PDF | Request a copy |
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