Tidal_Model_Tc.pl

#! /usr/bin/perl
use strict;
use warnings;
use PDL;
use PDL::Image2D;
use Text::CSV;
 
#Prints nyuID, run type, Tp, Tm, Tc to a CSV
#Displays graphs of all galaxies' deviations
#Creates check file to display regular/model/residual/tidal images of each galaxy

my @galaxy_fits = qw/a aa/; #model fits we are checking
my @DataRelease = qw/_DR7 _S82/;
foreach my $DataRelease (@DataRelease) {
	open my $inPositions, '<', "result$DataRelease.csv" or die "cannot open result$DataRelease.csv: $!";
	my $input_positions = Text::CSV->new({'binary'=>1});
	$input_positions->column_names($input_positions->getline($inPositions));
	my $position_inputs = $input_positions->getline_hr_all($inPositions);
	my @nyuID = map {$_->{'col0'}} @{$position_inputs};

	open my $T_plot, '>', "Tc$DataRelease.csv" or die "cannot open Tc$DataRelease.csv $!"; # Tp table
	print $T_plot "ID,Fit_Type$DataRelease,Tp$DataRelease,Tm$DataRelease,Tc$DataRelease\n";

	foreach my $posCount (0 .. scalar @nyuID - 1) {
		foreach my $galaxy_fits (@galaxy_fits) { #iterate over all fit types
			if ((-e "mp${nyuID[$posCount]}$DataRelease.model_$galaxy_fits.fits") && (-e "p${nyuID[$posCount]}$DataRelease.model_$galaxy_fits.fits")) { #Successful modelling?
				print "p${nyuID[$posCount]}$DataRelease.fits ($galaxy_fits)\n";

				my $Good_values = rfits("background.p${nyuID[$posCount]}$DataRelease.fits");
				my $average = avg($Good_values);
				print $average,"\n";

				#SCIENCE IMAGES
				my $Gimage = rfits("p${nyuID[$posCount]}$DataRelease.model_$galaxy_fits.fits[1]"); #normal
				my $Mimage = rfits("p${nyuID[$posCount]}$DataRelease.model_$galaxy_fits.fits[2]");
				my $Mask_1a = rfits("FMASK.p${nyuID[$posCount]}$DataRelease.fits");#GALFIT MASK
				my $Mask_1b = rfits("FMASK_b.p${nyuID[$posCount]}$DataRelease.fits"); #normal image mask
				my $TMask = rfits("tmask_1a.p${nyuID[$posCount]}$DataRelease.fits"); #normal image mask

				#residual images
				my $residual = $Gimage - $Mimage * $Mask_1b;
				#$residual->where($residual <= -1 ) .= 0;
				$residual -> wfits("residual.p${nyuID[$posCount]}$DataRelease"."_$galaxy_fits.fits"); #residual image

				#full mask
				my $full_mask = $Mask_1b * $TMask;
				$full_mask -> wfits("fullmask.p${nyuID[$posCount]}$DataRelease.fits"); #normal

				#GALFIT MODEL IMAGE

				#model images
				my $Gimage_1 = rfits("mp${nyuID[$posCount]}$DataRelease.model_$galaxy_fits.fits[1]"); #normal
				my $Mimage_1 = rfits("mp${nyuID[$posCount]}$DataRelease.model_$galaxy_fits.fits[2]");

				#residual images
				my $residual_M = $Gimage_1 - $Mimage_1 * $Mask_1b;
				#$residual_M->where($residual <= -1 ) .= 0;
				$residual_M -> wfits("residual.mp${nyuID[$posCount]}$DataRelease"."_$galaxy_fits.fits"); #residual image

				#-------------------------
				#T-Van Dokkum with GALFIT
				#-------------------------
				#Science frame calculations with random good sky values 
				my $Tp = avg(abs((($Gimage/($Mimage)) - 1)->where($full_mask)));
				print "Image tidal parameter using GALFIT from van Dokkum et al. 2005 Tp  = ", $Tp, "\n"; 

				#Tal's model parameter
				my $Tm = avg(abs((($Gimage_1/($Mimage_1)) - 1)->where($full_mask)));
				print "Model tidal parameter using GALFIT from van Dokkum et al. 2005 Tm  = ", $Tm, "\n"; 

				#Critical tidal parameter
				my $Tc = (($Tp)**2 -($Tm)**2 );
				if ($Tc < 0) {
					$Tc = 0; #assumes that Tc = 0 is preferable to undefined.
				}
				$Tc = (sprintf("%.6f",(($Tc)**0.5)));
				print "The critical tidal parameter for ${nyuID[$posCount]}$DataRelease ($galaxy_fits) is $Tc\n";

				print $T_plot "${nyuID[$posCount]},$galaxy_fits,$Tp,$Tm,$Tc\n";

				##Tidal image of galaxy
				my $T_image = (($Gimage - $Mimage)/($Mimage) * $full_mask);
				#$T_image->where($full_mask <= -1 ) .= 0;
				$T_image -> wfits("Timage.p${nyuID[$posCount]}$DataRelease"."_$galaxy_fits.fits"); #normal

				##Tidal image of galaxy
				my $T_image_1 = (($Gimage_1 - $Mimage_1)/($Mimage_1) * $full_mask);
				#$T_image->where($full_mask <= -1 ) .= 0;
				$T_image_1 -> wfits("Timage.mp${nyuID[$posCount]}$DataRelease"."_$galaxy_fits.fits"); #normal
			}
		}
	}
}