Practicing linear and non linear chi

Practicing and understanding statistical techniques

Data from OGLE

On the first day of the experiment, call the instructor (sometime between 12:00-17:00) and ask for additional details or any changes! Set a date for the preliminary test.

ABSTRACT

- Short description of your work + main results.

INTRODUCTION

- Why ML is important in the context of your work.

- The OGLE experiment - objective, experiment settings, frequency of measurements, etc. refer to bibliography where needed.

- The specific event(s) you chose to analyze

THEORETICAL BACKGROUND

Should NOT include the history of ML since Einstein!

Should include:

- short explanation of the main formulas you use, notions, units. refer to bibliography where needed.

DATA ANALYSIS

- Explanation of the algorithm you used to fit the data (short!)

- Error analysis

- Statistics

RESULTS

- The extracted parameters + errors

- Chi^2 per DOF

- Plots, figures, graphs, fits...

DISCUSSION

- Goodness of fit

- Comparison to results of other research groups (OGLE)

- Scientific discussion

SUMMARY

APPENDIX

The paper part should include ONLY THE FINAL STAGE of your analysis, i.e., extracting the full set of parameters. It should span up to 10 pages. All the other stages, which are executed for educational purposes, should appear in your logbook.

if you use use ANYTHING from some other source, please make sure that you provide the propper reference.

When writing the report please take into consideration the following criteria:

1. All plots should contains labels and errors.

2. Error analysis should be properly explained.

3.

4. Add the logbook of the experiment in an appendix.

5. Give the chi^2/dof of each fit.

6. Read the report before submission and correct, as you can, for grammer and spelling mistakes.

some relevant Matlab tips can be found here.

Yakov Faerman Instructor of the Microlensing experiment |
Room: Kaplun 501 Phone: 972-3-6409158 yakovfae@post.tau.ac.il |