SlideShare a Scribd company logo
1 of 44
Download to read offline
PACKAGE = images.immatch
TASK = imcombine
input = bi*.fit List of images to combine
output = zero.fit List of output images
(rejmask= ) List of rejection masks (optional)
(plfile = ) List of pixel list files (optional)
(sigma = ) List of sigma images (optional)
(logfile= STDOUT) Log file
(combine= median) Type of combine operation
(reject = none) Type of rejection
(project= no) Project highest dimension of input
images?
(outtype= real) Output image pixel datatype
(outlimi= ) Output limits (x1 x2 y1 y2 ...)
(offsets= none) Input image offsets
(masktyp= none) Mask type
(maskval= 0.) Mask value
(blank = 0.) Value if there are no pixels
(scale = median) Image scaling
(zero = none) Image zero point offset
(weight = none) Image weights
(statsec= ) Image section for computing statistics
(expname= ) Image header exposure time keyword
Combine Bias
(lthresh= INDEF) Lower threshold
(hthresh= INDEF) Upper threshold
(nlow = 1) minmax: Number of low pixels to reject
(nhigh = 1) minmax: Number of high pixels to reject
(nkeep = 1) Minimum to keep (pos) or maximum to
reject (neg)
(mclip = yes) Use median in sigma clipping
algorithms?
(lsigma = 3.) Lower sigma clipping factor
(hsigma = 3.) Upper sigma clipping factor
(rdnoise= 0.) ccdclip: CCD readout noise (electrons)
(gain = 1.) ccdclip: CCD gain (electrons/DN)
(snoise = 0.) ccdclip: Sensitivity noise (fraction)
(sigscal= 0.1) Tolerance for sigma clipping scaling
corrections
(pclip = -0.5) pclip: Percentile clipping parameter
(grow = 0.) Radius (pixels) for neighbor rejection
(mode = ql)
Combined bias (zero.fits)
files *.fits > lista
Remove bi*.fits from lista
PACKAGE = images.imutil
TASK = imarith
operand1= @lista Operand image or numerical constant
op = - Operator
operand2= zero.fits Operand image or numerical constant
result = @lista Resultant image
(title = ) Title for resultant image
(divzero= 0.) Replacement value for division by zero
(hparams= ) List of header parameters
(pixtype= ) Pixel type for resultant image
(calctyp= ) Calculation data type
(verbose= yes) Print operations?
(noact = no) Print operations without performing them?
(mode = ql)
Images should have (close to) zero counts
Bias remotion
PACKAGE = immatch
TASK = imcombine
input = ff*.fits List of images to combine
output = flat.fits List of output images
(rejmask= ) List of rejection masks (optional)
(plfile = ) List of pixel list files (optional)
(sigma = ) List of sigma images (optional)
(logfile= STDOUT) Log file
(combine= median) Type of combine operation
(reject = none) Type of rejection
(project= no) Project highest dimension of input
images?
(outtype= real) Output image pixel datatype
(offsets= none) Input image offsets
(masktyp= none) Mask type
(maskval= 0.) Mask value
(blank = 0.) Value if there are no pixels
(scale = median) Image scaling
(zero = none) Image zero point offset
(weight = none) Image weights
(statsec= ) Image section for computing statistics
(expname= ) Image header exposure time keyword
Combine Flats
(lthresh= INDEF) Lower threshold
(hthresh= INDEF) Upper threshold
(nlow = 1) minmax: Number of low pixels to reject
(nhigh = 1) minmax: Number of high pixels to reject
(nkeep = 1) Minimum to keep (pos) or maximum to
reject (neg)
(mclip = yes) Use median in sigma clipping
algorithms?
(lsigma = 3.) Lower sigma clipping factor
(hsigma = 3.) Upper sigma clipping factor
(rdnoise= 0.) ccdclip: CCD readout noise (electrons)
(gain = 1.) ccdclip: CCD gain (electrons/DN)
(snoise = 0.) ccdclip: Sensitivity noise (fraction)
(sigscal= 0.1) Tolerance for sigma clipping scaling
corrections
(pclip = -0.5) pclip: Percentile clipping parameter
(grow = 0.) Radius (pixels) for neighbor rejection
(mode = ql)
Combined Flat (flat.fits)
Make a good fit in response function changing the order of fitting function
PACKAGE = noao.twodspec.longslit
TASK = response
calibrat= flat.fits Longslit calibration images
normaliz= flat.fits Normalization spectrum images
response= flatfin.fits Response function images
(interac= yes) Fit normalization spectrum interactively?
(thresho= INDEF) Response threshold
(sample = *) Sample of points to use in fit
(naverag= 1) Number of points in sample averaging
(functio= spline3) Fitting function
(order = 20) Order of fitting function
(low_rej= 0.) Low rejection in sigma of fit
(high_re= 0.) High rejection in sigma of fit
(niterat= 1) Number of rejection iterations
(grow = 0.) Rejection growing radius
(graphic= stdgraph) Graphics output device
(cursor = ) Graphics cursor input
(mode = ql)
Fit the normalization spectrum for flat.fits interactively (yes): y
Dispersion axis (1=along lines, 2=along columns, 3=along z) (1:3) (1): 1
Response function of Flats
Interactive fitting: try to make a good fit
increasing the order with
o: # where # is the order of the function
f to fit
h x vs. y fiting
l x vs. n (non linear part)
j x vs. r (residuals)
q quit once a good fit is made
Final flat field
Remove Flat field
Delete ff*.fits from lista
PACKAGE = imutil
TASK = imarith
operand1= @lista Operand image or numerical constant
op = / Operator
operand2= flatfin.fits Operand image or numerical constant
result = @lista Resultant image
(title = ) Title for resultant image
(divzero= 0.) Replacement value for division by zero
(hparams= ) List of header parameters
(pixtype= ) Pixel type for resultant image
(calctyp= ) Calculation data type
(verbose= yes) Print operations?
(noact = no) Print operations without performing them?
(mode = ql)
PACKAGE = noao.imred.crutil
TASK = cosmicrays
input = n4151.fits List of images in which to detect cosmic rays
output = n4151nc.fits List of cosmic ray replaced output images (optio
(badpix = ) List of bad pixel files (optional)
(thresho= 20.) Detection threshold above mean
(fluxrat= 10.) Flux ratio threshold (in percent)
(npasses= 5) Number of detection passes
(window = 5) Size of detection window
(interac= no) Examine parameters interactively?
answer = no) Examine parameters interactively?
(train = no) Use training objects?
(objects= ) Cursor list of training objects
(savefil= ) File to save train objects
(verbose= yes) Print log information to the standard output?
(logfile= ) Text log file
(plotfil= ) Log metacode plot file
(graphic= stdgraph) Interactive graphics output device
(cursor = ) Graphics cursor input
(ccdtype= )
(instrum= )
(mode = ql)
Review parameters for a particular image? (no|yes|NO|YES) (yes): N
Repeat for standard star bd75325
Remove cosmic rays
Image with cosmic rays
Remove remnant cosmic rays
PACKAGE = images.tv
TASK = imedit
input = n4151nc.fits Images to be edited
output = n4151ncc.fits Output images
(cursor = y) Cursor input
(logfile= ) Logfile for record of cursor commands
(display= yes) Display images?
(autodis= yes) Automatic image display?
(autosur= yes) Automatic surface plots?
(apertur= circular) Aperture type
(radius = 2.) Substitution radius
(search = 2.) Search radius
(buffer = 1.) Background buffer width
(width = 2.) Background width
(xorder = 2) Background x order
(yorder = 2) Background y order
(value = 0.) Constant value substitution
(sigma = INDEF) Added noise sigma
(angh = -33.) Horizontal viewing angle (degrees)
(angv = 25.) Vertical viewing angle (degrees)
(command= display $image 1 erase=$erase fill=yes order=0 >&
dev$null) Display co
(graphic= stdgraph) Graphics device
(default= b) Default option for x-y input
(fixpix = no) Fixpix style input?
(mode = ql)
Interactive remotion keystrokes:
b background replacement (aperture)
+ increase radius
- decrease radius
Q quit without save
q quit and save
Repeat for standard star
Removing cosmic rays
Image without cosmic rays
Sky lines
Calibration HeAr lamp
PACKAGE = noao.twodspec.longslit
TASK = identify
images = lamp.fits Images containing features to be identified
(section= middle line) Section to apply to two dimensional images
(databas= database) Database in which to record feature data
(coordli= linelists$idhear_br.dat) User coordinate list
(units = ) Coordinate units
(nsum = 10) Number of lines/columns/bands to sum in 2D image
(match = -3.) Coordinate list matching limit
(maxfeat= 50) Maximum number of features for automatic identif
(zwidth = 100.) Zoom graph width in user units
(ftype = emission) Feature type
(fwidth = 4.) Feature width in pixels
(cradius= 5.) Centering radius in pixels
(thresho= 0.) Feature threshold for centering
(minsep = 2.) Minimum pixel separation
(functio= spline3) Coordinate function
(order = 1) Order of coordinate function
(sample = *) Coordinate sample regions
(niterat= 0) Rejection iterations
(low_rej= 3.) Lower rejection sigma
(high_re= 3.) Upper rejection sigma
(grow = 0.) Rejection growing radius
(autowri= no) Automatically write to database
(graphic= stdgraph) Graphics output device
Write feature data to the database (yes)? y
Identify lamp lines
keystrokes:
m mark a line and identify it
f make a fit
q quit
Mark and identify some lines
Make a good fit
PACKAGE = longslit
TASK = reidentify
referenc= lamp Reference image
images = lamp Images to be reidentified
(interac= no) Interactive fitting?
(section= middle line) Section to apply to two dimensional images
(newaps = yes) Reidentify apertures in images not in
reference?
(overrid= no) Override previous solutions?
(refit = yes) Refit coordinate function?
(trace = yes) Trace reference image?
(step = 5) Step in lines/columns/bands for tracing an
image
(nsum = 10) Number of lines/columns/bands to sum
(shift = 0.) Shift to add to reference features (INDEF to sea
(search = 0.) Search radius
(nlost = 0) Maximum number of features which may be lost
(cradius= 5.) Centering radius
(thresho= 0.) Feature threshold for centering
(addfeat= no) Add features from a line list?
(coordli= linelists$idhear_br.dat) User coordinate list
(match = -3.) Coordinate list matching limit
(maxfeat= 50) Maximum number of features for automatic
identif
(minsep = 2.) Minimum pixel separation
Reidentify lamp lines
Put header
PACKAGE = images.imutil
TASK = hedit
images = n4151ncc.fits,bd75325ncc.fits images to be edited
fields = REFSPEC1 fields to be edited
value = lamp value expression
(add = yes) add rather than edit fields
(delete = no) delete rather than edit fields
(verify = yes) verify each edit operation
(show = yes) print record of each edit operation
(update = yes) enable updating of the image header
(mode = )
add n4151ncc.fits,REFSPEC1 = lamp
update n4151ncc.fits ? (yes): y
add bd75325ncc.fits,REFSPEC1 = lamp
update bd75325ncc.fits ? (yes):
bd75325ncc.fits updated
PACKAGE = longslit
TASK = fitcoords
images = lamp Images whose coordinates
are to be fit
(fitname= lamp) Name for coordinate fit in the
database
(interac= yes) Fit coordinates interactively?
(combine= no) Combine input coordinates
for a single fit?
(databas= database) Database
(deletio= deletions.db) Deletion list file (not used if
null)
(functio= chebyshev) Type of fitting function
(xorder = 4) X order of fitting function
(yorder = 1) Y order of fitting function
(logfile= STDOUT,logfile) Log files
(plotfil= plotfile) Plot log file
(graphic= stdgraph) Graphics output device
(cursor = ) Graphics cursor input
(mode = ql)
Fit lamp interactively (yes): y
Fit coordinates
Fit coordinates
keystrokes:
xo,yo change x,y orders of fitting
d p delete points
f fit
q quit
PACKAGE = longslit
TASK = transform
input = n4151ncc.fits,bd75325ncc.fits Input images
output = n4151t.fits,bd75325t.fits Output images
fitnames= lamplamp Names of coordinate fits in the database
(databas= database) Identify database
(interpt= spline3) Interpolation type
(x1 = INDEF) Output starting x coordinate
(x2 = INDEF) Output ending x coordinate
(dx = INDEF) Output X pixel interval
(nx = INDEF) Number of output x pixels
(xlog = no) Logarithmic x coordinate?
(y1 = INDEF) Output starting y coordinate
(y2 = INDEF) Output ending y coordinate
(dy = INDEF) Output Y pixel interval
(ny = INDEF) Number of output y pixels
(ylog = no) Logarithmic y coordinate?
(flux = yes) Conserve flux per pixel?
(logfile= STDOUT,logfile) List of log files
(mode = ql)
Dispersion axis (1=along lines, 2=along columns, 3=along z) (1:3) (1): 1
Transform pixels to wavelength
Object calibrated in wavelength
PACKAGE = longslit
TASK = background
input = n4151t.fits Input images to be background subtracted
output = n4151b.fits Output background subtracted images
(axis = 2) Axis along which background is fit and subtracte
(interac= yes) Set fitting parameters interactively?
(sample = *) Sample of points to use in fit
(naverag= 1) Number of points in sample averaging
(functio= chebyshev) Fitting function
(order = 3) Order of fitting function
(low_rej= 0.) Low rejection in sigma of fit
(high_re= 0.) High rejection in sigma of fit
(niterat= 1) Number of rejection iterations
(grow = 0.) Rejection growing radius
(graphic= stdgraph) Graphics output device
(cursor = ) Graphics cursor input
(mode = ql)
Fit Column= 512
Repeat for standard
Remove background
Keystrokes:
s to mark level to substract
q quit
s s s
s
Image without background should not have sky lines
PACKAGE = noao.twodspec.apextract
TASK = apall
input = n4151b.fits List of input images
(output = NGC4151.fits) List of output spectra
(apertur= 1) Apertures
(format = multispec) Extracted spectra format
(referen= ) List of aperture reference images
(profile= ) List of aperture profile images
(interac= yes) Run task interactively?
(find = yes) Find apertures?
(recente= yes) Recenter apertures?
(resize = yes) Resize apertures?
(edit = yes) Edit apertures?
(trace = yes) Trace apertures?
(fittrac= yes) Fit the traced points interactively?
(extract= yes) Extract spectra?
(extras = yes) Extract sky, sigma, etc.?
(review = yes) Review extractions?
(line = INDEF) Dispersion line
(nsum = 10) Number of dispersion lines to sum or
median
# DEFAULT APERTURE PARAMETERS
(lower = -5.) Lower aperture limit relative to center
(upper = 5.) Upper aperture limit relative to center
(apidtab= ) Aperture ID table (optional)
Extract spectrum
# DEFAULT BACKGROUND PARAMETERS
(b_funct= chebyshev) Background function
(b_order= 1) Background function order
(b_sampl= -10:-6,6:10) Background sample regions
(b_naver= -3) Background average or median
(b_niter= 0) Background rejection iterations
(b_low_r= 3.) Background lower rejection sigma
(b_high_= 3.) Background upper rejection sigma
(b_grow = 0.) Background rejection growing radius
# APERTURE CENTERING PARAMETERS
(width = 5.) Profile centering width
(radius = 10.) Profile centering radius
(thresho= 0.) Detection threshold for profile centering
# AUTOMATIC FINDING AND ORDERING PARAMETERS
nfind = 1 Number of apertures to be found
automatically
(minsep = 5.) Minimum separation between spectra
(maxsep = 1000.) Maximum separation between
spectra
(order = increasing) Order of apertures
# RECENTERING PARAMETERS
(aprecen= ) Apertures for recentering calculation
(npeaks = INDEF) Select brightest peaks
(shift = yes) Use average shift instead of recentering?
Extract spectrum (cont…)
# RECENTERING PARAMETERS
(aprecen= ) Apertures for recentering calculation
(npeaks = INDEF) Select brightest peaks
(shift = yes) Use average shift instead of recentering?
# RESIZING PARAMETERS
(llimit = INDEF) Lower aperture limit relative to center
(ulimit = INDEF) Upper aperture limit relative to center
(ylevel = 0.1) Fraction of peak or intensity for
automatic widt
(peak = yes) Is ylevel a fraction of the peak?
(bkg = yes) Subtract background in automatic
width?
(r_grow = 0.) Grow limits by this factor
(avglimi= no) Average limits over all apertures?
# TRACING PARAMETERS
(t_nsum = 10) Number of dispersion lines to sum
(t_step = 10) Tracing step
(t_nlost= 3) Number of consecutive times profile is
lost befo
(t_funct= spline3) Trace fitting function
(t_order= 2) Trace fitting function order
(t_sampl= *) Trace sample regions
(t_naver= 1) Trace average or median
(t_niter= 0) Trace rejection iterations
(t_low_r= 3.) Trace lower rejection sigma
(t_high_= 3.) Trace upper rejection sigma
(t_grow = 0.) Trace rejection growing radius
# EXTRACTION PARAMETERS
(backgro= none) Background to subtract
(skybox = 1) Box car smoothing length for sky
(weights= none) Extraction weights (none|variance)
(pfit = fit1d) Profile fitting type (fit1d|fit2d)
(clean = no) Detect and replace bad pixels?
(saturat= INDEF) Saturation level
(readnoi= 0.) Read out noise sigma (photons)
(gain = 1.) Photon gain (photons/data number)
(lsigma = 4.) Lower rejection threshold
(usigma = 4.) Upper rejection threshold
(nsubaps= 1) Number of subapertures per aperture
(mode = ql)
Find apertures for n4151b.fits ? (yes): y
Number of apertures to be found automatically (1): 1
Resize apertures for n4151b.fits ? (yes): y
Edit apertures for n4151b.fits ? (yes): y
Keystrokes:
l lower limit of aperture
u upper limit
q quit
d p delete a point
f fit
Resize apertures with keystrokes u & l
Spectrum aperture fitting
Delete departing points
Extracted spectrum
Verify with splot NGC4151.fits
should be calibrated in wavelength
Repeat for Standard star
Resize standard apertures with keystrokes u & l
Standard spectrum aperture fitting
Standard Spectrum extracted
Standard Spectrum calibrated in wavelength
Extract one-dimensional spectrum
of standard star
PACKAGE = noao.onedspec
TASK = standard
input = BD+75325.fits Input image file root name
output = std Output flux file (used by
SENSFUNC)
(samesta= yes) Same star in all apertures?
(beam_sw= no) Beam switch spectra?
(apertur= ) Aperture selection list
(bandwid= INDEF) Bandpass widths
(bandsep= INDEF) Bandpass separation
(fnuzero= 3.6800000000000E-20) Absolute flux zero point
(extinct= onedstds$kpnoextinct.dat) Extinction file
(caldir = onedstds$local/) Directory containing calibration
(observa= oagh) Observatory for data
(interac= yes) Graphic interaction to define new
bandpasses
(graphic= stdgraph) Graphics output device
(cursor = ) Graphics cursor input
star_nam= bd75d325 Star name in calibration list
airmass = 1.4 Airmass
exptime = 600 Exposure time (seconds)
answer = y (no|yes|NO|YES|NO!|YES!)
(mode = ql)
Edit absorption lines
Keystrokes:
d delete features
shift x resolution
r redraw
q quit
PACKAGE = onedspec
TASK = sensfunc
standard= std Input standard star data file (from STANDARD)
sensitiv= sens Output root sensitivity function imagename
(apertur= ) Aperture selection list
(ignorea= no) Ignore apertures and make one sensitivity functi
(logfile= logfile) Output log for statistics information
(extinct= onedstds$kpnoextinct.dat) Extinction file
(newexti= extinct.dat) Output revised extinction file
(observa= oagh) Observatory of data
(functio= spline3) Fitting function
(order = 6) Order of fit
(interac= yes) Determine sensitivity function interactively?
(graphs = sri) Graphs per frame
(marks = plus cross box) Data mark types (marks deleted added)
(colors = 2 1 3 4) Colors (lines marks deleted added)
(cursor = sri) Graphics cursor input
(device = stdgraph) Graphics output device
answer = yes (no|yes|NO|YES)
(mode = ql)
No extinction correction applied
Fit aperture 1 interactively? (no|yes|NO|YES): Y
Sensitivity function
Keystrokes:
d p delete point
r redraw-fit
o change order of funct.
Sensitivity function fitting
Flux calibration of standard
PACKAGE = onedspec
TASK = calibrate
input = BD+75325.fits Input spectra to calibrate
output = BD+75325C.fits Output calibrated spectra
(extinct= yes) Apply extinction correction?
(flux = yes) Apply flux calibration?
(extinct= onedstds$kpnoextinct.dat) Extinction file
(observa= oagh) Observatory of observation
(ignorea= no) Ignore aperture numbers in
flux calibration?
(sensiti= sens) Image root name for
sensitivity spectra
(fnu = no) Create spectra having units of
FNU?
airmass = 1.4 Airmass
exptime = 1800 Exposure time (seconds)
(mode = ql)
BD+75325C.fits:
Extinction correction applied
Flux calibration applied
Standard calibrated in flux
Flux calibration of object
PACKAGE = onedspec
TASK = calibrate
input = NGC4151.fits Input spectra to calibrate
output = NGC4151C.fits Output calibrated spectra
(extinct= yes) Apply extinction correction?
(flux = yes) Apply flux calibration?
(extinct= onedstds$kpnoextinct.dat) Extinction file
(observa= oagh) Observatory of observation
(ignorea= no) Ignore aperture numbers in
flux calibration?
(sensiti= sens) Image root name for
sensitivity spectra
(fnu = no) Create spectra having units of
FNU?
airmass = 1.1 Airmass
exptime = 1800 Exposure time (seconds)
(mode = ql)
NGC4151C.fits:
Extinction correction applied
Flux calibration applied
Object calibrated in flux

More Related Content

Similar to Pasos para la reducción de datos en Cananea. Data_reduction_cananea

ECCV2010: feature learning for image classification, part 2
ECCV2010: feature learning for image classification, part 2ECCV2010: feature learning for image classification, part 2
ECCV2010: feature learning for image classification, part 2
zukun
 
RedisConf18 - Lower Latency Graph Queries in Cypher with Redis Graph
RedisConf18 - Lower Latency Graph Queries in Cypher with Redis GraphRedisConf18 - Lower Latency Graph Queries in Cypher with Redis Graph
RedisConf18 - Lower Latency Graph Queries in Cypher with Redis Graph
Redis Labs
 
Pointcuts and Analysis
Pointcuts and AnalysisPointcuts and Analysis
Pointcuts and Analysis
Wiwat Ruengmee
 

Similar to Pasos para la reducción de datos en Cananea. Data_reduction_cananea (20)

Python High Level Functions_Ch 11.ppt
Python High Level Functions_Ch 11.pptPython High Level Functions_Ch 11.ppt
Python High Level Functions_Ch 11.ppt
 
R Language Introduction
R Language IntroductionR Language Introduction
R Language Introduction
 
Matlab
MatlabMatlab
Matlab
 
ggtimeseries-->ggplot2 extensions
ggtimeseries-->ggplot2 extensions ggtimeseries-->ggplot2 extensions
ggtimeseries-->ggplot2 extensions
 
Digital signal Processing all matlab code with Lab report
Digital signal Processing all matlab code with Lab report Digital signal Processing all matlab code with Lab report
Digital signal Processing all matlab code with Lab report
 
ECCV2010: feature learning for image classification, part 2
ECCV2010: feature learning for image classification, part 2ECCV2010: feature learning for image classification, part 2
ECCV2010: feature learning for image classification, part 2
 
BUilt in Functions and Simple programs in R.pdf
BUilt in Functions and Simple programs in R.pdfBUilt in Functions and Simple programs in R.pdf
BUilt in Functions and Simple programs in R.pdf
 
RedisConf18 - Lower Latency Graph Queries in Cypher with Redis Graph
RedisConf18 - Lower Latency Graph Queries in Cypher with Redis GraphRedisConf18 - Lower Latency Graph Queries in Cypher with Redis Graph
RedisConf18 - Lower Latency Graph Queries in Cypher with Redis Graph
 
Programs in array using SWIFT
Programs in array using SWIFTPrograms in array using SWIFT
Programs in array using SWIFT
 
decision tree regression
decision tree regressiondecision tree regression
decision tree regression
 
Pointcuts and Analysis
Pointcuts and AnalysisPointcuts and Analysis
Pointcuts and Analysis
 
XIX PUG-PE - Pygame game development
XIX PUG-PE - Pygame game developmentXIX PUG-PE - Pygame game development
XIX PUG-PE - Pygame game development
 
Computer Graphics in Java and Scala - Part 1b
Computer Graphics in Java and Scala - Part 1bComputer Graphics in Java and Scala - Part 1b
Computer Graphics in Java and Scala - Part 1b
 
raster algorithm.pdf
raster algorithm.pdfraster algorithm.pdf
raster algorithm.pdf
 
Python grass
Python grassPython grass
Python grass
 
Introduction to MATLAB
Introduction to MATLABIntroduction to MATLAB
Introduction to MATLAB
 
Learn Matlab
Learn MatlabLearn Matlab
Learn Matlab
 
chapter1.ppt
chapter1.pptchapter1.ppt
chapter1.ppt
 
chapter1.ppt
chapter1.pptchapter1.ppt
chapter1.ppt
 
Introduction to Artificial Neural Networks
Introduction to Artificial Neural NetworksIntroduction to Artificial Neural Networks
Introduction to Artificial Neural Networks
 

Recently uploaded

Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptx
negromaestrong
 
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please Practise
AnaAcapella
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
heathfieldcps1
 

Recently uploaded (20)

Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and Modifications
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptx
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
 
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentation
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptxSKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docx
 
Dyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptxDyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptx
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
 
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please Practise
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
 
Magic bus Group work1and 2 (Team 3).pptx
Magic bus Group work1and 2 (Team 3).pptxMagic bus Group work1and 2 (Team 3).pptx
Magic bus Group work1and 2 (Team 3).pptx
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 

Pasos para la reducción de datos en Cananea. Data_reduction_cananea

  • 1. PACKAGE = images.immatch TASK = imcombine input = bi*.fit List of images to combine output = zero.fit List of output images (rejmask= ) List of rejection masks (optional) (plfile = ) List of pixel list files (optional) (sigma = ) List of sigma images (optional) (logfile= STDOUT) Log file (combine= median) Type of combine operation (reject = none) Type of rejection (project= no) Project highest dimension of input images? (outtype= real) Output image pixel datatype (outlimi= ) Output limits (x1 x2 y1 y2 ...) (offsets= none) Input image offsets (masktyp= none) Mask type (maskval= 0.) Mask value (blank = 0.) Value if there are no pixels (scale = median) Image scaling (zero = none) Image zero point offset (weight = none) Image weights (statsec= ) Image section for computing statistics (expname= ) Image header exposure time keyword Combine Bias (lthresh= INDEF) Lower threshold (hthresh= INDEF) Upper threshold (nlow = 1) minmax: Number of low pixels to reject (nhigh = 1) minmax: Number of high pixels to reject (nkeep = 1) Minimum to keep (pos) or maximum to reject (neg) (mclip = yes) Use median in sigma clipping algorithms? (lsigma = 3.) Lower sigma clipping factor (hsigma = 3.) Upper sigma clipping factor (rdnoise= 0.) ccdclip: CCD readout noise (electrons) (gain = 1.) ccdclip: CCD gain (electrons/DN) (snoise = 0.) ccdclip: Sensitivity noise (fraction) (sigscal= 0.1) Tolerance for sigma clipping scaling corrections (pclip = -0.5) pclip: Percentile clipping parameter (grow = 0.) Radius (pixels) for neighbor rejection (mode = ql)
  • 3. files *.fits > lista Remove bi*.fits from lista PACKAGE = images.imutil TASK = imarith operand1= @lista Operand image or numerical constant op = - Operator operand2= zero.fits Operand image or numerical constant result = @lista Resultant image (title = ) Title for resultant image (divzero= 0.) Replacement value for division by zero (hparams= ) List of header parameters (pixtype= ) Pixel type for resultant image (calctyp= ) Calculation data type (verbose= yes) Print operations? (noact = no) Print operations without performing them? (mode = ql) Images should have (close to) zero counts Bias remotion
  • 4. PACKAGE = immatch TASK = imcombine input = ff*.fits List of images to combine output = flat.fits List of output images (rejmask= ) List of rejection masks (optional) (plfile = ) List of pixel list files (optional) (sigma = ) List of sigma images (optional) (logfile= STDOUT) Log file (combine= median) Type of combine operation (reject = none) Type of rejection (project= no) Project highest dimension of input images? (outtype= real) Output image pixel datatype (offsets= none) Input image offsets (masktyp= none) Mask type (maskval= 0.) Mask value (blank = 0.) Value if there are no pixels (scale = median) Image scaling (zero = none) Image zero point offset (weight = none) Image weights (statsec= ) Image section for computing statistics (expname= ) Image header exposure time keyword Combine Flats (lthresh= INDEF) Lower threshold (hthresh= INDEF) Upper threshold (nlow = 1) minmax: Number of low pixels to reject (nhigh = 1) minmax: Number of high pixels to reject (nkeep = 1) Minimum to keep (pos) or maximum to reject (neg) (mclip = yes) Use median in sigma clipping algorithms? (lsigma = 3.) Lower sigma clipping factor (hsigma = 3.) Upper sigma clipping factor (rdnoise= 0.) ccdclip: CCD readout noise (electrons) (gain = 1.) ccdclip: CCD gain (electrons/DN) (snoise = 0.) ccdclip: Sensitivity noise (fraction) (sigscal= 0.1) Tolerance for sigma clipping scaling corrections (pclip = -0.5) pclip: Percentile clipping parameter (grow = 0.) Radius (pixels) for neighbor rejection (mode = ql)
  • 6. Make a good fit in response function changing the order of fitting function PACKAGE = noao.twodspec.longslit TASK = response calibrat= flat.fits Longslit calibration images normaliz= flat.fits Normalization spectrum images response= flatfin.fits Response function images (interac= yes) Fit normalization spectrum interactively? (thresho= INDEF) Response threshold (sample = *) Sample of points to use in fit (naverag= 1) Number of points in sample averaging (functio= spline3) Fitting function (order = 20) Order of fitting function (low_rej= 0.) Low rejection in sigma of fit (high_re= 0.) High rejection in sigma of fit (niterat= 1) Number of rejection iterations (grow = 0.) Rejection growing radius (graphic= stdgraph) Graphics output device (cursor = ) Graphics cursor input (mode = ql) Fit the normalization spectrum for flat.fits interactively (yes): y Dispersion axis (1=along lines, 2=along columns, 3=along z) (1:3) (1): 1 Response function of Flats Interactive fitting: try to make a good fit increasing the order with o: # where # is the order of the function f to fit h x vs. y fiting l x vs. n (non linear part) j x vs. r (residuals) q quit once a good fit is made
  • 8. Remove Flat field Delete ff*.fits from lista PACKAGE = imutil TASK = imarith operand1= @lista Operand image or numerical constant op = / Operator operand2= flatfin.fits Operand image or numerical constant result = @lista Resultant image (title = ) Title for resultant image (divzero= 0.) Replacement value for division by zero (hparams= ) List of header parameters (pixtype= ) Pixel type for resultant image (calctyp= ) Calculation data type (verbose= yes) Print operations? (noact = no) Print operations without performing them? (mode = ql)
  • 9. PACKAGE = noao.imred.crutil TASK = cosmicrays input = n4151.fits List of images in which to detect cosmic rays output = n4151nc.fits List of cosmic ray replaced output images (optio (badpix = ) List of bad pixel files (optional) (thresho= 20.) Detection threshold above mean (fluxrat= 10.) Flux ratio threshold (in percent) (npasses= 5) Number of detection passes (window = 5) Size of detection window (interac= no) Examine parameters interactively? answer = no) Examine parameters interactively? (train = no) Use training objects? (objects= ) Cursor list of training objects (savefil= ) File to save train objects (verbose= yes) Print log information to the standard output? (logfile= ) Text log file (plotfil= ) Log metacode plot file (graphic= stdgraph) Interactive graphics output device (cursor = ) Graphics cursor input (ccdtype= ) (instrum= ) (mode = ql) Review parameters for a particular image? (no|yes|NO|YES) (yes): N Repeat for standard star bd75325 Remove cosmic rays
  • 11. Remove remnant cosmic rays PACKAGE = images.tv TASK = imedit input = n4151nc.fits Images to be edited output = n4151ncc.fits Output images (cursor = y) Cursor input (logfile= ) Logfile for record of cursor commands (display= yes) Display images? (autodis= yes) Automatic image display? (autosur= yes) Automatic surface plots? (apertur= circular) Aperture type (radius = 2.) Substitution radius (search = 2.) Search radius (buffer = 1.) Background buffer width (width = 2.) Background width (xorder = 2) Background x order (yorder = 2) Background y order (value = 0.) Constant value substitution (sigma = INDEF) Added noise sigma (angh = -33.) Horizontal viewing angle (degrees) (angv = 25.) Vertical viewing angle (degrees) (command= display $image 1 erase=$erase fill=yes order=0 >& dev$null) Display co (graphic= stdgraph) Graphics device (default= b) Default option for x-y input (fixpix = no) Fixpix style input? (mode = ql) Interactive remotion keystrokes: b background replacement (aperture) + increase radius - decrease radius Q quit without save q quit and save Repeat for standard star
  • 13. Image without cosmic rays Sky lines
  • 15. PACKAGE = noao.twodspec.longslit TASK = identify images = lamp.fits Images containing features to be identified (section= middle line) Section to apply to two dimensional images (databas= database) Database in which to record feature data (coordli= linelists$idhear_br.dat) User coordinate list (units = ) Coordinate units (nsum = 10) Number of lines/columns/bands to sum in 2D image (match = -3.) Coordinate list matching limit (maxfeat= 50) Maximum number of features for automatic identif (zwidth = 100.) Zoom graph width in user units (ftype = emission) Feature type (fwidth = 4.) Feature width in pixels (cradius= 5.) Centering radius in pixels (thresho= 0.) Feature threshold for centering (minsep = 2.) Minimum pixel separation (functio= spline3) Coordinate function (order = 1) Order of coordinate function (sample = *) Coordinate sample regions (niterat= 0) Rejection iterations (low_rej= 3.) Lower rejection sigma (high_re= 3.) Upper rejection sigma (grow = 0.) Rejection growing radius (autowri= no) Automatically write to database (graphic= stdgraph) Graphics output device Write feature data to the database (yes)? y Identify lamp lines keystrokes: m mark a line and identify it f make a fit q quit
  • 16. Mark and identify some lines
  • 17. Make a good fit
  • 18. PACKAGE = longslit TASK = reidentify referenc= lamp Reference image images = lamp Images to be reidentified (interac= no) Interactive fitting? (section= middle line) Section to apply to two dimensional images (newaps = yes) Reidentify apertures in images not in reference? (overrid= no) Override previous solutions? (refit = yes) Refit coordinate function? (trace = yes) Trace reference image? (step = 5) Step in lines/columns/bands for tracing an image (nsum = 10) Number of lines/columns/bands to sum (shift = 0.) Shift to add to reference features (INDEF to sea (search = 0.) Search radius (nlost = 0) Maximum number of features which may be lost (cradius= 5.) Centering radius (thresho= 0.) Feature threshold for centering (addfeat= no) Add features from a line list? (coordli= linelists$idhear_br.dat) User coordinate list (match = -3.) Coordinate list matching limit (maxfeat= 50) Maximum number of features for automatic identif (minsep = 2.) Minimum pixel separation Reidentify lamp lines
  • 19. Put header PACKAGE = images.imutil TASK = hedit images = n4151ncc.fits,bd75325ncc.fits images to be edited fields = REFSPEC1 fields to be edited value = lamp value expression (add = yes) add rather than edit fields (delete = no) delete rather than edit fields (verify = yes) verify each edit operation (show = yes) print record of each edit operation (update = yes) enable updating of the image header (mode = ) add n4151ncc.fits,REFSPEC1 = lamp update n4151ncc.fits ? (yes): y add bd75325ncc.fits,REFSPEC1 = lamp update bd75325ncc.fits ? (yes): bd75325ncc.fits updated
  • 20. PACKAGE = longslit TASK = fitcoords images = lamp Images whose coordinates are to be fit (fitname= lamp) Name for coordinate fit in the database (interac= yes) Fit coordinates interactively? (combine= no) Combine input coordinates for a single fit? (databas= database) Database (deletio= deletions.db) Deletion list file (not used if null) (functio= chebyshev) Type of fitting function (xorder = 4) X order of fitting function (yorder = 1) Y order of fitting function (logfile= STDOUT,logfile) Log files (plotfil= plotfile) Plot log file (graphic= stdgraph) Graphics output device (cursor = ) Graphics cursor input (mode = ql) Fit lamp interactively (yes): y Fit coordinates
  • 21. Fit coordinates keystrokes: xo,yo change x,y orders of fitting d p delete points f fit q quit
  • 22. PACKAGE = longslit TASK = transform input = n4151ncc.fits,bd75325ncc.fits Input images output = n4151t.fits,bd75325t.fits Output images fitnames= lamplamp Names of coordinate fits in the database (databas= database) Identify database (interpt= spline3) Interpolation type (x1 = INDEF) Output starting x coordinate (x2 = INDEF) Output ending x coordinate (dx = INDEF) Output X pixel interval (nx = INDEF) Number of output x pixels (xlog = no) Logarithmic x coordinate? (y1 = INDEF) Output starting y coordinate (y2 = INDEF) Output ending y coordinate (dy = INDEF) Output Y pixel interval (ny = INDEF) Number of output y pixels (ylog = no) Logarithmic y coordinate? (flux = yes) Conserve flux per pixel? (logfile= STDOUT,logfile) List of log files (mode = ql) Dispersion axis (1=along lines, 2=along columns, 3=along z) (1:3) (1): 1 Transform pixels to wavelength
  • 23. Object calibrated in wavelength
  • 24. PACKAGE = longslit TASK = background input = n4151t.fits Input images to be background subtracted output = n4151b.fits Output background subtracted images (axis = 2) Axis along which background is fit and subtracte (interac= yes) Set fitting parameters interactively? (sample = *) Sample of points to use in fit (naverag= 1) Number of points in sample averaging (functio= chebyshev) Fitting function (order = 3) Order of fitting function (low_rej= 0.) Low rejection in sigma of fit (high_re= 0.) High rejection in sigma of fit (niterat= 1) Number of rejection iterations (grow = 0.) Rejection growing radius (graphic= stdgraph) Graphics output device (cursor = ) Graphics cursor input (mode = ql) Fit Column= 512 Repeat for standard Remove background Keystrokes: s to mark level to substract q quit
  • 26. Image without background should not have sky lines
  • 27. PACKAGE = noao.twodspec.apextract TASK = apall input = n4151b.fits List of input images (output = NGC4151.fits) List of output spectra (apertur= 1) Apertures (format = multispec) Extracted spectra format (referen= ) List of aperture reference images (profile= ) List of aperture profile images (interac= yes) Run task interactively? (find = yes) Find apertures? (recente= yes) Recenter apertures? (resize = yes) Resize apertures? (edit = yes) Edit apertures? (trace = yes) Trace apertures? (fittrac= yes) Fit the traced points interactively? (extract= yes) Extract spectra? (extras = yes) Extract sky, sigma, etc.? (review = yes) Review extractions? (line = INDEF) Dispersion line (nsum = 10) Number of dispersion lines to sum or median # DEFAULT APERTURE PARAMETERS (lower = -5.) Lower aperture limit relative to center (upper = 5.) Upper aperture limit relative to center (apidtab= ) Aperture ID table (optional) Extract spectrum # DEFAULT BACKGROUND PARAMETERS (b_funct= chebyshev) Background function (b_order= 1) Background function order (b_sampl= -10:-6,6:10) Background sample regions (b_naver= -3) Background average or median (b_niter= 0) Background rejection iterations (b_low_r= 3.) Background lower rejection sigma (b_high_= 3.) Background upper rejection sigma (b_grow = 0.) Background rejection growing radius # APERTURE CENTERING PARAMETERS (width = 5.) Profile centering width (radius = 10.) Profile centering radius (thresho= 0.) Detection threshold for profile centering # AUTOMATIC FINDING AND ORDERING PARAMETERS nfind = 1 Number of apertures to be found automatically (minsep = 5.) Minimum separation between spectra (maxsep = 1000.) Maximum separation between spectra (order = increasing) Order of apertures # RECENTERING PARAMETERS (aprecen= ) Apertures for recentering calculation (npeaks = INDEF) Select brightest peaks (shift = yes) Use average shift instead of recentering?
  • 28. Extract spectrum (cont…) # RECENTERING PARAMETERS (aprecen= ) Apertures for recentering calculation (npeaks = INDEF) Select brightest peaks (shift = yes) Use average shift instead of recentering? # RESIZING PARAMETERS (llimit = INDEF) Lower aperture limit relative to center (ulimit = INDEF) Upper aperture limit relative to center (ylevel = 0.1) Fraction of peak or intensity for automatic widt (peak = yes) Is ylevel a fraction of the peak? (bkg = yes) Subtract background in automatic width? (r_grow = 0.) Grow limits by this factor (avglimi= no) Average limits over all apertures? # TRACING PARAMETERS (t_nsum = 10) Number of dispersion lines to sum (t_step = 10) Tracing step (t_nlost= 3) Number of consecutive times profile is lost befo (t_funct= spline3) Trace fitting function (t_order= 2) Trace fitting function order (t_sampl= *) Trace sample regions (t_naver= 1) Trace average or median (t_niter= 0) Trace rejection iterations (t_low_r= 3.) Trace lower rejection sigma (t_high_= 3.) Trace upper rejection sigma (t_grow = 0.) Trace rejection growing radius # EXTRACTION PARAMETERS (backgro= none) Background to subtract (skybox = 1) Box car smoothing length for sky (weights= none) Extraction weights (none|variance) (pfit = fit1d) Profile fitting type (fit1d|fit2d) (clean = no) Detect and replace bad pixels? (saturat= INDEF) Saturation level (readnoi= 0.) Read out noise sigma (photons) (gain = 1.) Photon gain (photons/data number) (lsigma = 4.) Lower rejection threshold (usigma = 4.) Upper rejection threshold (nsubaps= 1) Number of subapertures per aperture (mode = ql) Find apertures for n4151b.fits ? (yes): y Number of apertures to be found automatically (1): 1 Resize apertures for n4151b.fits ? (yes): y Edit apertures for n4151b.fits ? (yes): y Keystrokes: l lower limit of aperture u upper limit q quit d p delete a point f fit
  • 29. Resize apertures with keystrokes u & l
  • 32. Verify with splot NGC4151.fits should be calibrated in wavelength Repeat for Standard star
  • 33. Resize standard apertures with keystrokes u & l
  • 37. Extract one-dimensional spectrum of standard star PACKAGE = noao.onedspec TASK = standard input = BD+75325.fits Input image file root name output = std Output flux file (used by SENSFUNC) (samesta= yes) Same star in all apertures? (beam_sw= no) Beam switch spectra? (apertur= ) Aperture selection list (bandwid= INDEF) Bandpass widths (bandsep= INDEF) Bandpass separation (fnuzero= 3.6800000000000E-20) Absolute flux zero point (extinct= onedstds$kpnoextinct.dat) Extinction file (caldir = onedstds$local/) Directory containing calibration (observa= oagh) Observatory for data (interac= yes) Graphic interaction to define new bandpasses (graphic= stdgraph) Graphics output device (cursor = ) Graphics cursor input star_nam= bd75d325 Star name in calibration list airmass = 1.4 Airmass exptime = 600 Exposure time (seconds) answer = y (no|yes|NO|YES|NO!|YES!) (mode = ql)
  • 38. Edit absorption lines Keystrokes: d delete features shift x resolution r redraw q quit
  • 39. PACKAGE = onedspec TASK = sensfunc standard= std Input standard star data file (from STANDARD) sensitiv= sens Output root sensitivity function imagename (apertur= ) Aperture selection list (ignorea= no) Ignore apertures and make one sensitivity functi (logfile= logfile) Output log for statistics information (extinct= onedstds$kpnoextinct.dat) Extinction file (newexti= extinct.dat) Output revised extinction file (observa= oagh) Observatory of data (functio= spline3) Fitting function (order = 6) Order of fit (interac= yes) Determine sensitivity function interactively? (graphs = sri) Graphs per frame (marks = plus cross box) Data mark types (marks deleted added) (colors = 2 1 3 4) Colors (lines marks deleted added) (cursor = sri) Graphics cursor input (device = stdgraph) Graphics output device answer = yes (no|yes|NO|YES) (mode = ql) No extinction correction applied Fit aperture 1 interactively? (no|yes|NO|YES): Y Sensitivity function
  • 40. Keystrokes: d p delete point r redraw-fit o change order of funct. Sensitivity function fitting
  • 41. Flux calibration of standard PACKAGE = onedspec TASK = calibrate input = BD+75325.fits Input spectra to calibrate output = BD+75325C.fits Output calibrated spectra (extinct= yes) Apply extinction correction? (flux = yes) Apply flux calibration? (extinct= onedstds$kpnoextinct.dat) Extinction file (observa= oagh) Observatory of observation (ignorea= no) Ignore aperture numbers in flux calibration? (sensiti= sens) Image root name for sensitivity spectra (fnu = no) Create spectra having units of FNU? airmass = 1.4 Airmass exptime = 1800 Exposure time (seconds) (mode = ql) BD+75325C.fits: Extinction correction applied Flux calibration applied
  • 43. Flux calibration of object PACKAGE = onedspec TASK = calibrate input = NGC4151.fits Input spectra to calibrate output = NGC4151C.fits Output calibrated spectra (extinct= yes) Apply extinction correction? (flux = yes) Apply flux calibration? (extinct= onedstds$kpnoextinct.dat) Extinction file (observa= oagh) Observatory of observation (ignorea= no) Ignore aperture numbers in flux calibration? (sensiti= sens) Image root name for sensitivity spectra (fnu = no) Create spectra having units of FNU? airmass = 1.1 Airmass exptime = 1800 Exposure time (seconds) (mode = ql) NGC4151C.fits: Extinction correction applied Flux calibration applied