2001.05.16 D.Huenemoerder Test new QE ARD - w/ adjusted filter, as per HLM. ARD: acisD1997-04-17qeN0004.fits Made with: acis_qbar_ard.pro Test gARFs made w/ mkgarf and new QE, for obsid 1198: acisf01198_001N001LEG_-1_garf.fits acisf01198_001N001LEG_1_garf.fits acisf01198_002N001LEG_-1_garf.fits acisf01198_002N001LEG_1_garf.fits Requires psets to ardlib.par for mkgarf: #--------------------------------------------------------------------------- # AXAF ACIS Mean QE Files. These MUST include the FILTER transmission QE. #--------------------------------------------------------------------------- AXAF_ACIS0_QE_FILE,f,a,"./Ard/acisD1997-04-17qeN0004.fits[AXAF_QE1]",,,"Enter ACIS-0 Mean QE File" AXAF_ACIS1_QE_FILE,f,a,"./Ard/acisD1997-04-17qeN0004.fits[AXAF_QE2]",,,"Enter ACIS-1 Mean QE File" AXAF_ACIS2_QE_FILE,f,a,"./Ard/acisD1997-04-17qeN0004.fits[AXAF_QE3]",,,"Enter ACIS-2 Mean QE File" AXAF_ACIS3_QE_FILE,f,a,"./Ard/acisD1997-04-17qeN0004.fits[AXAF_QE4]",,,"Enter ACIS-3 Mean QE File" AXAF_ACIS4_QE_FILE,f,a,"./Ard/acisD1997-04-17qeN0004.fits[AXAF_QE5]",,,"Enter ACIS-4 Mean QE File" AXAF_ACIS5_QE_FILE,f,a,"./Ard/acisD1997-04-17qeN0004.fits[AXAF_QE6]",,,"Enter ACIS-5 Mean QE File" AXAF_ACIS6_QE_FILE,f,a,"./Ard/acisD1997-04-17qeN0004.fits[AXAF_QE7]",,,"Enter ACIS-6 Mean QE File" AXAF_ACIS7_QE_FILE,f,a,"./Ard/acisD1997-04-17qeN0004.fits[AXAF_QE8]",,,"Enter ACIS-7 Mean QE File" AXAF_ACIS8_QE_FILE,f,a,"./Ard/acisD1997-04-17qeN0004.fits[AXAF_QE9]",,,"Enter ACIS-8 Mean QE File" AXAF_ACIS9_QE_FILE,f,a,"./Ard/acisD1997-04-17qeN0004.fits[AXAF_QE10]",,,"Enter ACIS-9 Mean QE File" ISIS/Slang script to apply to spectrum is Cmp_arf_fits.sl Ps files: Obs_1198_p1_oldqe.ps Obs_1198_m1_oldqe.ps Obs_1198_p1_newqe.ps Obs_1198_m1_newqe.ps Garf_aciss_letg-qeN0004.ps Garf_aciss_letg-qeN0004.png First 4 show fits in ISIS of wabs*powerlaw (using xspec module for wabs) +/-1 fit simultaneously (made w/ ISIS Slang script) Last 2 (same figure) are comparison of old and new ARFs. (made w/ IDL Plt_newqe.pro) (quality/accuracy requires cal review) Fit results: % New QE fit: isis> fit_counts; Parameters[Variable] = 3[3] Data bins = 2060 Best fit chi-square = 1744 Reduced chi-square = 0.848 isis> list_par; wabs(1)*powerlaw(1) idx param tie-to freeze value min max 1 wabs[1].NH_22 0 0 0.01230491 0 1 2 powerlaw[1].norm 0 0 0.02296741 0 1 3 powerlaw[1].alpha 0 0 -1.718404 -10 0 isis> conf(1,1); % 90% limits 0.0134436 0.011494 isis> conf(2,1)(2,1); 0.0231878 0.022773 isis> conf(3,1); -1.70709 -1.73111 % Old QE fit: isis> fit_counts; Parameters[Variable] = 3[3] Data bins = 2060 Best fit chi-square = 1389 Reduced chi-square = 0.6752 isis> list_par; wabs(1)*powerlaw(1) idx param tie-to freeze value min max 1 wabs[1].NH_22 0 0 0.01238499 0 1 2 powerlaw[1].norm 0 0 0.02200437 0 1 3 powerlaw[1].alpha 0 0 -1.662157 -10 0 isis> conf(1,1); % 90% limits 0.0134581 0.0113228 isis> conf(2,1); 0.0222007 0.0218083 isis> conf(3,1); -1.65073 -1.67333