#-------------------------------------------------------------------- # NGC0628, Raster, Combining all "good" data - Nov 07 to Jan 08 runs #-------------------------------------------------------------------- ------------------------------------------------------------------------------- INITIAL REDUCTION USING NEAREST SPREAD: makecube in="a200*.sdf" autogrid=true crota=335 pixsize=7.2761 sparse=false spread='nearest' specbounds=\"250 1050\" out=ngc0628_combined reset # Projection parameters used: # CRPIX1 = 37.4489795863628 # CRPIX2 = 37.8428571373224 # CRVAL1 = 24.1741666666667 ( RA = 1:36:41.8 ) # CRVAL2 = 15.7833333333333 ( Dec = 15:47:00 ) # CDELT1 = -0.00202113893296984 ( -7.3 arcsec ) # CDELT2 = 0.00202113893296984 ( 7.3 arcsec ) # CROTA2 = 335 # # Output cube pixel bounds: ( -34:37, -36:38, -941:940 ) # Output cube WCS bounds: # Right ascension: 1:36:17.4 -> 1:37:06.3 # Declination: 15:41:03 -> 15:52:59 # Optical velocity (USB): 249.9677 -> 1050.074 km/s # # WARNING: Tsys conversion factor has changed from 3.09875713805845e-06 to # 3.09903642888747e-06 (0.00901299510021115 %) in file a20080107_00016_flagspike mfittrend ngc0628_combined ranges=\"250 600 700 1050\" order=3 axis=3 out=ngc0628_combined_base3 sub ngc0628_combined ngc0628_combined_base3 ngc0628_combined_sub3 compave ngc0628_combined_sub3 ngc0628_combined_sub3_20kms compress="[1,1,47]" stats 'ngc0628_combined_sub3_20kms(~35,~35,:)' | grep Standard # Standard deviation : 0.0155678 stats 'ngc0628_combined_sub3_20kms(~35,~35,250.0:600.0)' | grep Standard # Standard deviation : 0.0156033 stats 'ngc0628_combined_sub3_20kms(~35,~35,700.0:1050.0)' | grep Standard # Standard deviation : 0.0135971 # Better than previous reduction, a little noiser even with the extra MSBs, but a lot of receptors were lost. We still meet the RMS. See what sincsinc can do. ------------------------------------------------------------------------------- NOW SINCSINC: makecube in="a200*.sdf" autogrid=true crota=335 pixsize=7.2761 sparse=false spread='sincsinc' params='[1,2]' badmask='AND' specbounds=\"250.0 1050.0\" out=ngc0628_sincsinc reset # Projection parameters used: # CRPIX1 = 37.4489795863628 # CRPIX2 = 37.8428571373224 # CRVAL1 = 24.1741666666667 ( RA = 1:36:41.8 ) # CRVAL2 = 15.7833333333333 ( Dec = 15:47:00 ) # CDELT1 = -0.00202113893296984 ( -7.3 arcsec ) # CDELT2 = 0.00202113893296984 ( 7.3 arcsec ) # CROTA2 = 335 # Output cube pixel bounds: ( -34:37, -36:38, -941:940 ) # Output cube WCS bounds: # Right ascension: 1:36:17.4 -> 1:37:06.3 # Declination: 15:41:03 -> 15:52:59 # Optical velocity (USB): 249.9677 -> 1050.074 km/s # WARNING: Tsys conversion factor has changed from 3.09875713805845e-06 to # 3.09903642888747e-06 (0.00901299510021115 %) in file a20080107_00016_flagspike # WARNING: Cannot create output Tsys values. # SincSinc is strongly affected by the spike regions. With two of them it has a harder time. Flagging both in the final cube, then trimming. chpix in=ngc0628_sincsinc out=ngc0628_sincsinc_spikebad_temp section=\":,:,-464:-456\" newval=bad chpix in=ngc0628_sincsinc_spikebad_temp out=ngc0628_sincsinc_spikebad section=\":,:,-428:-421\" newval=bad ndfcopy in=ngc0628_sincsinc_spikebad'(-22:28,-24:28,)' out=ngc0628_sincsinc_trim mfittrend ngc0628_sincsinc_trim ranges=\"250 600 700 1050\" order=3 axis=3 out=ngc0628_sincsinc_trim_base3 sub ngc0628_sincsinc_trim ngc0628_sincsinc_trim_base3 ngc0628_sincsinc_trim_sub3 compave ngc0628_sincsinc_trim_sub3 ngc0628_sincsinc_trim_sub3_20kms compress="[1,1,47]" stats 'ngc0628_sincsinc_trim_sub3_20kms(~35,~35,:)' | grep Standard # Standard deviation : 0.0142069 stats 'ngc0628_sincsinc_trim_sub3_20kms(~35,~35,250.0:600.0)' | grep Standard # Standard deviation : 0.014133 stats 'ngc0628_sincsinc_trim_sub3_20kms(~35,~35,700.0:1050.0)' | grep Standard # Standard deviation : 0.0123307 # Getting there, cube is much cleaner than previous versions ------------------------------------------------------------------------------- BASELINE MASK PRODUCTION: # First produce a smoothed cube to identify the line and make masks with mfittrend block in=ngc0628_sincsinc_trim out=ngc0628_sincsinc_trim_vsmooth 'axes=[1,3] box=[1,25]' block in=ngc0628_sincsinc_trim_vsmooth out=ngc0628_sincsinc_trim_smooth 'axes=[1,2] box=[3,3]' mfittrend in=ngc0628_sincsinc_trim_smooth axis=3 order=1 out=ngc0628_sincsinc_trim_smooth_base1 auto mask=ngc0628_sincsinc_trim_smooth_basemsk1 method=single variance=false subtract=false 'clip=[2,3]' mfittrend in=ngc0628_sincsinc_trim_smooth axis=3 order=1 out=ngc0628_sincsinc_trim_smooth_base1g auto mask=ngc0628_sincsinc_trim_smooth_basemsk1g method=global variance=false subtract=false 'clip=[2,2.5,3]' add ngc0628_sincsinc_trim_smooth_basemsk1 ngc0628_sincsinc_trim_smooth_basemsk1g ngc0628_trim_basemask0 chpix in=ngc0628_trim_basemask0 out=ngc0628_trim_basemask0_end1 section=\":,:,-942:-118\" newval=0 chpix in=ngc0628_trim_basemask0_end1 out=ngc0628_trim_basemask0_end2 section=\":,:,117:940\" newval=0 cadd ngc0628_trim_basemask0_end2 1 ngc0628_trim_basemask1 mult ngc0628_sincsinc_trim ngc0628_trim_basemask1 ngc0628_sincsinc_trim_masked mfittrend ngc0628_sincsinc_trim_masked ranges=\"300 1000\" order=3 axis=3 out=ngc0628_sincsinc_trim_masked_base3 sub ngc0628_sincsinc_trim ngc0628_sincsinc_trim_masked_base3 ngc0628_sincsinc_trim_submask3 compave ngc0628_sincsinc_trim_submask3 ngc0628_sincsinc_trim_submask3_20kms compress="[1,1,47]" stats 'ngc0628_sincsinc_trim_submask3_20kms(~35,~35,:)' | grep Standard # Standard deviation : 0.0150736 stats 'ngc0628_sincsinc_trim_submask3_20kms(~35,~35,250.0:600.0)' | grep Standard # Standard deviation : 0.0154738 stats 'ngc0628_sincsinc_trim_submask3_20kms(~35,~35,700.0:1050.0)' | grep Standard # Standard deviation : 0.0140238 ------------------------------------------------------------------------------- CREATE MOMENT MAPS: mkdir Moment_sincsinc cp ngc0628_sincsinc_trim_submask3.sdf Moment_sincsinc/ngc0628_sincsinc_trim_submask3_rembsl.sdf cp ngc0628_trim_basemask1.sdf Moment_sincsinc/ngc0628_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 = "ngc0628_sincsinc_trim_submask3" set vrange = "low=600 high=700" # 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(-13:19,-14:18,-884:883): 0.00749190379765508 Rotate intvel maps: rotate ngc0628_sincsinc_trim_submask3_intvel20 ngc0628_sincsinc_trim_submask3_intvel20_rot angle=! rotate ngc0628_sincsinc_trim_submask3_intvel25 ngc0628_sincsinc_trim_submask3_intvel25_rot angle=! rotate ngc0628_sincsinc_trim_submask3_intvel30 ngc0628_sincsinc_trim_submask3_intvel30_rot angle=! rotate ngc0628_sincsinc_trim_submask3_intvel35 ngc0628_sincsinc_trim_submask3_intvel35_rot angle=! rotate ngc0628_sincsinc_trim_submask3_intvel40 ngc0628_sincsinc_trim_submask3_intvel40_rot angle=! rotate ngc0628_sincsinc_trim_submask3_intvel45 ngc0628_sincsinc_trim_submask3_intvel45_rot angle=! rotate ngc0628_sincsinc_trim_submask3_intvel50 ngc0628_sincsinc_trim_submask3_intvel50_rot angle=! (contoured totint maps and velocity maps then made using gaia) ------------------------------------------------------------------------------- MAKE CUBES DISPLAYING S/N RATIO: collapse in=ngc0628_sincsinc_trim_submask3.sdf low=250 high=600 axis=vopt out=sigma_low estimator=sigma reset collapse in=ngc0628_sincsinc_trim_submask3.sdf low=700 high=1050 axis=vopt out=sigma_high estimator=sigma reset block ngc0628_sincsinc_trim_submask3_20kms.sdf ngc0628_sincsinc_trim_submask3_20kms_bin5.sdf axes="[2,3]" box="[1,5]" estimator=mean block ngc0628_sincsinc_trim_submask3_20kms.sdf ngc0628_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=ngc0628_sincsinc_trim_submask3_20kms_bin5.sdf confirm=false reset cdiv sigma_low_3d 6.85565 sigma_low_20kms div ngc0628_sincsinc_trim_submask3_20kms_bin5.sdf sigma_low_20kms.sdf ngc0628_sincsinc_trim_submask3_20kms_bin5_SN.sdf div ngc0628_sincsinc_trim_submask3_20kms_bin9.sdf sigma_low_20kms.sdf ngc0628_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/ngc0628_sincsinc_trim_submask3_rembsl_findclump20.sdf . cp ../Moment_sincsinc/ngc0628_sincsinc_trim_submask3_totint20.sdf . add sigma_high sigma_low out=sigma_sum cdiv sigma_sum.sdf 2 sigma_avg collapse in= ngc0628_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 ngc0628_totint20_noise div ngc0628_sincsinc_trim_submask3_totint20.sdf ngc0628_totint20_noise ngc0628_totint20_SN (contoured SN maps then made using gaia) ------------------------------------------------------------------------------- TRIM OUT NOISE FROM TOTINT20 MAP: *Try trimming regions with SN < 2.0: thresh ngc0628_totint20_SN.sdf thrlo=2 newlo=bad thrhi=500 newhi=bad out=ngc0628_totint20_SN_thresh2 # There were 887 elements changed in the DATA array below the threshold. # There were 0 elements changed in the DATA array above the threshold. cmult ngc0628_totint20_SN_thresh2.sdf 0 ngc0628_zeroall_2 cadd ngc0628_zeroall_2 1 ngc0628_msk_2 mult ngc0628_msk_2.sdf ngc0628_sincsinc_trim_submask3_totint20.sdf ngc0628_totint20_noisetrim2 *Try trimming regions with SN < 1.5: thresh ngc0628_totint20_SN.sdf thrlo=1.5 newlo=bad thrhi=500 newhi=bad out=ngc0628_totint20_SN_thresh15 # There were 751 elements changed in the DATA array below the threshold. # There were 0 elements changed in the DATA array above the threshold. cmult ngc0628_totint20_SN_thresh15.sdf 0 ngc0628_zeroall_15 cadd ngc0628_zeroall_15.sdf 1 ngc0628_msk_15 mult ngc0628_msk_15.sdf ngc0628_sincsinc_trim_submask3_totint20.sdf ngc0628_totint20_noisetrim_15 (contoured noisetrimmed maps then made using gaia) ------------------------------------------------------------------------------- MAKE TOTINT30 NOISE MAP: cp ../Moment_sincsinc/ngc0628_sincsinc_trim_submask3_rembsl_findclump30.sdf . cp ../Moment_sincsinc/ngc0628_sincsinc_trim_submask3_totint30.sdf . collapse in= ngc0628_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 ngc0628_totint30_noise div ngc0628_sincsinc_trim_submask3_totint30.sdf ngc0628_totint30_noise ngc0628_totint30_SN