PNe15

PNe15 - Monte Carlo-ing the subsample from theoretical data AND random box selections

Now we are Monte Carlo-ing the procedure of picking the (observed number of) PNe from the big theoretical catalog AND Monte Carlo-ing the random box selection methods. For each trial, a different set of PNe data is used, and a new set of boxes are placed.

Code is identical to PNe14, the only difference was in the PNe catalogs - 20 catalogs were generated by repeating the subsampling program (subs.sm) 20 times. Each was given a number 1 - 20 and when the PNe15 program is placing the boxes for the first trial, it uses the catalog with the number 1. Regardless of which image the boxes are being placed on, for each first trial, it uses PNe catalog #1, for the second trial, catalog #2, and so on.

Ranges now used are half-box-widths (in pixels) of: 1, 3, 5, 7, 9, 11, 13, 15, 25, 35, 45, 55, 65.
                                                             (in arcseconds): 1.5, 4.4, 7.3, 10.2, 13, 16, 22, 36, 51, 65, 80, 94
Contamination fractions now used are: 0%, 20%, 40%, 60%, 80%, 100%

Code was same as before but included for completeness. For a more thorough explanation of the code, see our first use of it here (PNe8).
Code -->    PNe.sm   -   PNe   - main program to do the statistics
                  PNeError.sm - PNeError - takes multiple iterations and generates graphs as shown below

NOTE: for contamination of 20%, the ranges were run in the opposite order as given above, to determine if there was any error in the program that was causing the small hump at the small box sizes. [for explanation of what the hump seems to be from, check this out - we CAN see the PNe in these images]

3.fits/3m.fits	4.fits/4m.fits	7.fits/7m.fits	Sub.fits/Subm.fits	Core.fits/Corem.fits	LPC.fits/LPCm.fits	FCJ.fits/FCJm.fits
0%	0%	0%	0%	0%	0%	0%
20%	20%	20%	20%	20%	20%	20%
40%	40%	40%	40%	40%	40%	40%
60%	60%	60%	60%	60%	60%	60%
80%	80%	80%	80%	80%	80%	80%
100%	100%	100%	100%	100%	100%	100%