#------------------------------------------------- # NGC5033, Raster, Night 4, 2nd February 2008 run #------------------------------------------------- ------------------------------------------------------------------------------- INITIAL REDUCTION USING NEAREST SPREAD: makecube in="a20080*_flagspike.sdf" autogrid=true crota=280 pixsize=7.2761 sparse=false spread='nearest' specbounds=\"475.0 1285.0\" out=ngc5033_goodpoint reset # Projection parameters used: # CRPIX1 = 38.1122449040413 # CRPIX2 = 24.4489795863628 # CRVAL1 = 198.364583333333 ( RA = 13:13:27.5 ) # CRVAL2 = 36.5938888888889 ( Dec = 36:35:38 ) # CDELT1 = -0.00202113893296984 ( -7.3 arcsec ) # CDELT2 = 0.00202113893296984 ( 7.3 arcsec ) # CROTA2 = 280 # # Output cube pixel bounds: ( -36:38, -21:25, -952:950 ) # Output cube WCS bounds: # Right ascension: 13:13:09.9 -> 13:13:45.7 # Declination: 36:30:39 -> 36:40:36 # Optical velocity (USB): 474.7643 -> 1285.102 km/s mfittrend ngc5033_goodpoint ranges=\"475 620 1140 1285\" order=1 axis=3 out=ngc5033_goodpoint_base1 sub ngc5033_goodpoint ngc5033_goodpoint_base1 ngc5033_goodpoint_sub1 compave ngc5033_goodpoint_sub1 ngc5033_goodpoint_sub1_20kms compress="[1,1,47]" stats 'ngc5033_goodpoint_sub1_20kms(~15,~15,:)' | grep Standard # Standard deviation : 0.0213283 stats 'ngc5033_goodpoint_sub1_20kms(~15,~15,475.0:620.0)' | grep Standard # Standard deviation : 0.0184774 stats 'ngc5033_goodpoint_sub1_20kms(~15,~15,1140.0:1285.0)' | grep Standard # Standard deviation : 0.0155627 # We did make it to the target rms, ------------------------------------------------------------------------------- NOW SINCSINC: makecube in="a*" autogrid=true crota=280 pixsize=7.2761 sparse=false spread='sincsinc' params='[1,2]' specbounds=\"475.0 1285.0\" out=ngc5033_sincsinc reset # Projection parameters used: # CRPIX1 = 38.1122449040413 # CRPIX2 = 24.4489795863628 # CRVAL1 = 198.364583333333 ( RA = 13:13:27.5 ) # CRVAL2 = 36.5938888888889 ( Dec = 36:35:38 ) # CDELT1 = -0.00202113893296984 ( -7.3 arcsec ) # CDELT2 = 0.00202113893296984 ( 7.3 arcsec ) # CROTA2 = 280 # # Output cube pixel bounds: ( -36:38, -21:25, -952:950 ) # Output cube WCS bounds: # Right ascension: 13:13:09.9 -> 13:13:45.7 # Declination: 36:30:39 -> 36:40:36 # Optical velocity (USB): 474.7643 -> 1285.102 km/s # # # WARNING: Cannot create output Tsys values. chpix in=ngc5033_sincsinc out=ngc5033_sincsinc_spikebad section=\":,:,-440:-431\" newval=bad ndfcopy in=ngc5033_sincsinc_spikebad'(-20:25,-13:15,)' out=ngc5033_sincsinc_trim mfittrend ngc5033_sincsinc_trim ranges=\"475 620 1140 1285\" order=1 axis=3 out=ngc5033_sincsinc_trim_base1 # Fitting NDF Axis 3, using ranges in current co-ordinate Frame (pixels): # 475.189 : 619.6484 km/s (-952 : -612) # 1139.575 : 1284.675 km/s (609 : 949) sub ngc5033_sincsinc_trim ngc5033_sincsinc_trim_base1 ngc5033_sincsinc_trim_sub1 compave ngc5033_sincsinc_trim_sub1 ngc5033_sincsinc_trim_sub1_20kms compress="[1,1,47]" stats 'ngc5033_sincsinc_trim_sub1_20kms(~15,~15,:)' | grep Standard # Standard deviation : 0.0183192 stats 'ngc5033_sincsinc_trim_sub1_20kms(~15,~15,475.0:620.0)' | grep Standard # Standard deviation : 0.015357 stats 'ngc5033_sincsinc_trim_sub1_20kms(~15,~15,1140.0:1285.0)' | grep Standard # Standard deviation : 0.0129518 ------------------------------------------------------------------------------- BASELINE MASK PRODUCTION: # First produce a smoothed cube to identify the line and make masks with mfittrend block in=ngc5033_sincsinc_trim out=ngc5033_sincsinc_trim_vsmooth 'axes=[1,3] box=[1,25]' block in=ngc5033_sincsinc_trim_vsmooth out=ngc5033_sincsinc_trim_smooth 'axes=[1,2] box=[3,3]' mfittrend in=ngc5033_sincsinc_trim_smooth axis=3 order=1 out=ngc5033_sincsinc_trim_smooth_base1 auto mask=ngc5033_sincsinc_trim_smooth_basemsk1 method=single variance=false subtract=false 'clip=[2,3]' mfittrend in=ngc5033_sincsinc_trim_smooth axis=3 order=1 out=ngc5033_sincsinc_trim_smooth_base1g auto mask=ngc5033_sincsinc_trim_smooth_basemsk1g method=global variance=false subtract=false 'clip=[2,2.5,3]' add ngc5033_sincsinc_trim_smooth_basemsk1 ngc5033_sincsinc_trim_smooth_basemsk1g ngc5033_trim_basemask0 chpix in=ngc5033_trim_basemask0 out=ngc5033_trim_basemask0_end1 section=\":,:,-953:-612\" newval=0 chpix in=ngc5033_trim_basemask0_end1 out=ngc5033_trim_basemask0_end2 section=\":,:,609:950\" newval=0 cadd ngc5033_trim_basemask0_end2 1 ngc5033_trim_basemask1 mult ngc5033_sincsinc_trim ngc5033_trim_basemask1 ngc5033_sincsinc_trim_masked mfittrend ngc5033_sincsinc_trim_masked ranges=\"475 1285\" order=3 axis=3 out=ngc5033_sincsinc_trim_masked_base3 # Fitting NDF Axis 3, using ranges in current co-ordinate Frame (pixels): # 475.189 : 1284.675 km/s (-952 : 949) sub ngc5033_sincsinc_trim ngc5033_sincsinc_trim_masked_base3 ngc5033_sincsinc_trim_submask3 compave ngc5033_sincsinc_trim_submask3 ngc5033_sincsinc_trim_submask3_20kms compress="[1,1,47]" stats 'ngc5033_sincsinc_trim_submask3_20kms(~15,~15,:)' | grep Standard # Standard deviation : 0.0165594 stats 'ngc5033_sincsinc_trim_submask3_20kms(~15,~15,475.0:620.0)' | grep Standard # Standard deviation : 0.0153968 stats 'ngc5033_sincsinc_trim_submask3_20kms(~15,~15,1140.0:1285.0)' | grep Standard # Standard deviation : 0.0125104 ------------------------------------------------------------------------------- CREATE MOMENT MAPS: mkdir Moment_sincsinc cp ngc5033_sincsinc_trim_submask3.sdf Moment_sincsinc/ngc5033_sincsinc_trim_submask3_rembsl.sdf cp ngc5033_trim_basemask1.sdf Moment_sincsinc/ngc5033_sincsinc_trim_submask3_msk.sdf cp ../NGC3031/Moment_sincsinc/REDUCE_SCIENCE_GRADIENT Moment_sincsinc/ cd Moment_sincsinc *Edit RSG Script: emacs REDUCE_SCIENCE_GRADIENT & set object = "ngc5033_sincsinc_trim_submask3" set vrange = "low=620 high=1140" # Quick jumps to repeat parts of the reduction #goto STEP1a #goto STEP1b #goto STEP2 goto STEP3 foreach rmslev (2.0 2.5 3.0 3.5 4.0 4.5 5.0) **Remove trim function: # Multiply baselined cube with clump mask ${kap}/mult ${sdf} ${sdf}_findclump${rmslab} ${sdf}_clmsk${rmslab} # Trim the noisy edges # ${kap}/ndfcopy temp'(-26:26,-36:40,)' ${sdf}_clmsk${rmslab} \rm -f ${sdf}_mask_temp1.sdf ${sdf}_mask_temp2.sdf >& /dev/null ./REDUCE_SCIENCE_GRADIENT # RMS MASKED SMOOTHED CUBE(-11:16,-7:9,-894:892): 0.00786888734212696 ROTATE intvel MAPS: rotate ngc5033_sincsinc_trim_submask3_intvel20 ngc5033_sincsinc_trim_submask3_intvel20_rot angle=! rotate ngc5033_sincsinc_trim_submask3_intvel25 ngc5033_sincsinc_trim_submask3_intvel25_rot angle=! rotate ngc5033_sincsinc_trim_submask3_intvel30 ngc5033_sincsinc_trim_submask3_intvel30_rot angle=! rotate ngc5033_sincsinc_trim_submask3_intvel35 ngc5033_sincsinc_trim_submask3_intvel35_rot angle=! rotate ngc5033_sincsinc_trim_submask3_intvel40 ngc5033_sincsinc_trim_submask3_intvel40_rot angle=! rotate ngc5033_sincsinc_trim_submask3_intvel45 ngc5033_sincsinc_trim_submask3_intvel45_rot angle=! rotate ngc5033_sincsinc_trim_submask3_intvel50 ngc5033_sincsinc_trim_submask3_intvel50_rot angle=! (contoured totint maps and velocity maps then made using gaia) ------------------------------------------------------------------------------- MAKE CUBES DISPLAYING S/N RATIO: collapse in=ngc5033_sincsinc_trim_submask3.sdf low=475 high=620 axis=vopt out=sigma_low estimator=sigma reset collapse in=ngc5033_sincsinc_trim_submask3.sdf low=1140 high=1285 axis=vopt out=sigma_high estimator=sigma reset block ngc5033_sincsinc_trim_submask3_20kms.sdf ngc5033_sincsinc_trim_submask3_20kms_bin5.sdf axes="[2,3]" box="[1,5]" estimator=mean block ngc5033_sincsinc_trim_submask3_20kms.sdf ngc5033_sincsinc_trim_submask3_20kms_bin9.sdf axes="[2,3]" box="[1,9]" estimator=mean manic in=sigma_low out=sigma_low_3d axes="[1,2,0]" lbound=-19 ubound=40 reset wcscopy ndf=sigma_low_3d like=ngc5033_sincsinc_trim_submask3_20kms_bin5.sdf confirm=false reset cdiv sigma_low_3d 6.85565 sigma_low_20kms div ngc5033_sincsinc_trim_submask3_20kms_bin5.sdf sigma_low_20kms.sdf ngc5033_sincsinc_trim_submask3_20kms_bin5_SN.sdf div ngc5033_sincsinc_trim_submask3_20kms_bin9.sdf sigma_low_20kms.sdf ngc5033_sincsinc_trim_submask3_20kms_bin9_SN.sdf ------------------------------------------------------------------------------- MAKE TOTINT20 NOISE and SN MAPS: mkdir noise_maps cd noise_maps cp ../sigma_high.sdf . cp ../sigma_low.sdf . cp ../Moment_sincsinc/ngc5033_sincsinc_trim_submask3_rembsl_findclump20.sdf . cp ../Moment_sincsinc/ngc5033_sincsinc_trim_submask3_totint20.sdf . add sigma_high sigma_low out=sigma_sum cdiv sigma_sum.sdf 2 sigma_avg collapse in= ngc5033_sincsinc_trim_submask3_rembsl_findclump20.sdf out=test0 axis=vopt estimator=sum wlim=0.0 (must make mask to multiply by collapsed image so values are real, not integer, otherwise sqrt function below will round to nearest integer) cmult sigma_avg 0 test1 cadd test1 1.0 test2 mult test2 test0 test3 (now have same collapsed image with real, not integer values) maths exp="sqrt(IA)" out=test4 IA=test3 cmult test4 0.42 test5 mult sigma_avg test5 ngc5033_totint20_noise div ngc5033_sincsinc_trim_submask3_totint20.sdf ngc5033_totint20_noise ngc5033_totint20_SN (contoured SN maps then made using gaia) ------------------------------------------------------------------------------- TRIM OUT NOISE FROM TOTINT20 MAP: *Try trimming regions with SN < 2.0: thresh ngc5033_totint20_SN.sdf thrlo=2 newlo=bad thrhi=500 newhi=bad out=ngc5033_totint20_SN_thresh2 # There were 808 elements changed in the DATA array below the threshold. # There were 0 elements changed in the DATA array above the threshold. cmult ngc5033_totint20_SN_thresh2.sdf 0 ngc5033_zeroall_2 cadd ngc5033_zeroall_2 1 ngc5033_msk_2 mult ngc5033_msk_2.sdf ngc5033_sincsinc_trim_submask3_totint20.sdf ngc5033_totint20_noisetrim2 *Try trimming regions with SN < 1.5: thresh ngc5033_totint20_SN.sdf thrlo=1.5 newlo=bad thrhi=500 newhi=bad out=ngc5033_totint20_SN_thresh15 # There were 691 elements changed in the DATA array below the threshold. # There were 0 elements changed in the DATA array above the threshold. cmult ngc5033_totint20_SN_thresh15.sdf 0 ngc5033_zeroall_15 cadd ngc5033_zeroall_15.sdf 1 ngc5033_msk_15 mult ngc5033_msk_15.sdf ngc5033_sincsinc_trim_submask3_totint20.sdf ngc5033_totint20_noisetrim_15 ------------------------------------------------------------------------------- MAKE TOTINT30 NOISE and SN MAPS: cp ../Moment_sincsinc/ngc5033_sincsinc_trim_submask3_rembsl_findclump30.sdf . cp ../Moment_sincsinc/ngc5033_sincsinc_trim_submask3_totint30.sdf . collapse in= ngc5033_sincsinc_trim_submask3_rembsl_findclump30.sdf out=test6 axis=vopt estimator=sum wlim=0.0 mult test2 test6 test7 maths exp="sqrt(IA)" out=test8 IA=test7 cmult test8 0.42 test9 mult sigma_avg test9 ngc5033_totint30_noise div ngc5033_sincsinc_trim_submask3_totint30.sdf ngc5033_totint30_noise ngc5033_totint30_SN (contoured SN maps then made using gaia)