| A |
acisreadcorr |
tools |
Flag and relocate out-of-time CCD events |
| acisspec |
tools |
Coadd ACIS spectra and build weighted ARFs and RMFs. |
| acis_bkgrnd_lookup |
tools |
Find the matching ACIS "blank-sky" dataset for an observation |
| acis_build_badpix |
tools |
Create an observation-specific bad-pixel file |
| acis_classify_hotpix |
tools |
Determine whether a suspicious pixel is hot or affected by an afterglow. |
| acis_detect_afterglow |
tools |
Identify and flag cosmic ray afterglows |
| acis_fef_lookup |
tools |
Find the FITS Embedded Function file for use by mkrmf |
| acis_find_hotpix |
tools |
Identify pixels that have an unusually large (or small) number of events. |
| acis_process_events |
tools |
Produce or update TIME, coordinates, PI, GRADE, and STATUS information in ACIS event files |
| acis_run_hotpix |
tools |
Identify and flag "hot" pixels and cosmic-ray "afterglows." |
| acis_set_ardlib |
tools |
Sets the bad pixel parameters of the ardlib file to the given file |
| acis_streak_map |
tools |
Generate high frequency background maps (streakmaps) which identify ACIS streaks caused when bright source photons are applied to the wrong pixel during readout. |
| aconvolve |
tools |
Convolve an N-dimensional image with a kernel |
| acrosscorr |
tools |
Cross-correlate two N-dimensional images or autocorrelate an image |
| add_col |
py.crates |
Add a column to a crate. |
| add_col |
sl.crates |
Add a column to a crate. |
| add_fov_region |
py.chips_contrib |
Display a Chandra FOV (field-of-view) file as a region. |
| add_fov_region |
sl.chips_contrib |
Display a Chandra FOV (field-of-view) file as a region. |
| add_grating_orders |
tools |
Add positive and negative diffraction orders of a grating PHA spectra and the corresponding ARFs |
| add_grating_spectra |
tools |
Add two, source and background, grating PHA spectra, averages the corresponding ARFs, and group the coadded spectrum. |
| add_key |
py.crates |
Add a keyword to a crate. |
| add_key |
sl.crates |
Add a keyword to a crate. |
| add_piximg |
py.crates |
Add an image to a crate. |
| add_piximg |
sl.crates |
Add an image to a crate. |
| ahelp |
ahelp |
Access the CIAO help documentation. |
| analysis-menu |
gui |
Run commands from the "Analysis" menu in CIAO GUIs |
| apowerspectrum |
tools |
Compute the power spectrum of an N-dimensional input array, or from two columns (independent/dependent variable) in an input file |
| apply_transform |
py.transform |
Apply a transform to the given data. |
| apply_transform |
sl.transform |
Apply a transform to the given data. |
| aprates |
tools |
Compute net counts, rate, and/or flux, plus confidence regions, for a point source, using data obtained from source and background apertures in event lists, images, and exposure maps. |
| ardlib |
calibration |
Analysis Reference Data Library |
| arestore |
tools |
Restore image resolution using deconvolution techniques |
| asphist |
tools |
Bin the aspect solution into a 3D histogram of duration vs pointing offset and roll offset. |
| autoname |
concept |
Autonaming is a feature available in various tools for automatically naming an output file based upon the name of an input file. |
| axbary |
tools |
Apply barycentric corrections to event times, GTIs, and header values. |
|
| C |
caldb |
calibration |
CALibration DataBase (CALDB) |
| calindex |
tools |
Create index file of calibration database (CALDB) products. |
| calquiz |
tools |
Find calibration files in the CALDB |
| calvalid |
tools |
Validate index file of calibration database (CALDB) products. |
| celldetect |
tools |
Use a "sliding cell" to search for sources |
| check_ciao_caldb |
tools |
A tool to test the installation of the CIAO Calibration Database (CALDB) |
| chips_regions |
py.chips_contrib |
Region routines for ChIPS (CIAO contributed package) |
| chips_regions |
sl.chips_contrib |
Region routines for ChIPS (CIAO contributed package) |
| chips_utils |
py.chips_contrib |
Utility routines for ChIPS (CIAO contributed package) |
| chips_utils |
sl.chips_contrib |
Utility routines for ChIPS (CIAO contributed package) |
| ciaorc |
concept |
The .ciaorc file provides user-configuration options for CIAO |
| ciao_contrib |
py.ciao_contrib |
Contributed Crates, ChIPS, and Sherpa routines for CIAO. |
| ciao_contrib |
sl.ciao_contrib |
Contributed Crates, ChIPS, and Sherpa routines for CIAO. |
| ciao_utils |
py.ciao_contrib |
Utility routines for CIAO (CIAO contributed package). |
| ciao_utils |
sl.ciao_contrib |
Utility routines for CIAO (CIAO contributed package). |
| ciao |
concept |
Chandra Interactive Analysis of Observations |
| colden |
proposaltools |
COLDEN is an interactive program to evaluate the neutral hydrogen column density at a given direction on the sky |
| col_exists |
py.crates |
Determine if a column exists in a crate. |
| col_exists |
sl.crates |
Determine if a column exists in a crate. |
| coords |
chandra |
Coordinate systems used in Chandra analysis |
| copy_colvals |
py.crates |
Copy the column values from a crate. |
| copy_colvals |
sl.crates |
Copy the column values from a crate. |
| copy_piximgvals |
py.crates |
Copy the image values from a crate. |
| copy_piximgvals |
sl.crates |
Copy the image values from a crate. |
| copy_transform |
py.transform |
Copy the transform. |
| copy_transform |
sl.transform |
Copy the transform. |
| cratedata |
py.crates |
CrateData object types in the CRATES library. |
| cratedata |
sl.crates |
CrateData object types in the CRATES library. |
| crates_contrib |
py.crates_contrib |
Contributed CIAO routines for Crates. |
| crates_contrib |
sl.crates_contrib |
Contributed CIAO routines for Crates. |
| crates_utils |
py.crates_contrib |
Utility routines for Crates (CIAO contributed package) |
| crates_utils |
sl.crates_contrib |
Utility routines for Crates (CIAO contributed package) |
| crates |
py.crates |
CRATES - A high-level I/O interface for Python |
| crates |
sl.crates |
CRATES - A high-level I/O interface for S-Lang |
| create_bkg_map |
tools |
Create a background map for ACIS and HRC from the event files. |
| csmooth |
tools |
Adaptively smooth a 2-D image |
|
| D |
dates |
proposaltools |
DATES is an interactive calendar and time conversion tool. |
| dax |
tools |
Run CIAO tasks from DS9's Analysis menu |
| deflare |
py.contrib |
deflare - choose either the lc_clean() or lc_sigma_clip() routine from the lightcurves.py module to remove flares from light curves. |
| delete_col |
py.crates |
Delete a column from a crate. |
| delete_col |
sl.crates |
Delete a column from a crate. |
| delete_key |
py.crates |
Delete a keyword from a crate. |
| delete_key |
sl.crates |
Delete a keyword from a crate. |
| delete_piximg |
py.crates |
Delete an image from a crate. |
| delete_piximg |
sl.crates |
Delete an image from a crate. |
| destreak |
tools |
Remove streak events from ACIS data |
| dither_region |
tools |
Compute fraction of region area that covers chips |
| dmappend |
tools |
Append multiple blocks/extensions to an existing output file. |
| dmarfadd |
tools |
Add multiple ARF files together, weighting by exposure. |
| dmascii |
dm |
Using the Data Model with text files |
| dmbinning |
dm |
The CIAO binning syntax |
| dmcontour |
tools |
Make contour regions from a 2-D image |
| dmcoords |
tools |
Convert between Chandra coordinate systems |
| dmcopy |
tools |
Filter and bin tables and images. |
| dmdiff |
tools |
Compare values in two files. |
| dmellipse |
tools |
finds best fit ellipse for specified fraction |
| dmextract |
tools |
Make a histogram table file (e.g. PHA file, lightcurve file) from a table column. Generate count histogram on supplied regions for a spatial table or image file. |
| dmfiltering |
dm |
Filtering tables and images with the Data Model |
| dmfilth |
tools |
Replace pixel values in source regions of an image with values interpolated from surrounding background regions |
| dmgroupreg |
tools |
Translates DS9 regions and groups to CIAO format. |
| dmgroup |
tools |
Group a specified column in a table with various options |
| dmgti |
tools |
Create a Good Time Interval from limits placed on time-based files (event and Mission Time Line files). |
| dmhedit |
tools |
Edit datamodel file headers |
| dmhistory |
tools |
Extracts the tool history from the file header |
| dmimg2jpg |
tools |
Make a color JPEG image (or EPS) from three image files |
| dmimgadapt |
tools |
Adaptively smoothes an image based on number of counts |
| dmimgblob |
tools |
Identifies groups of pixels above/below threshold |
| dmimgcalc |
tools |
Perform arithmetic on images |
| dmimgfilt |
tools |
Performs various non-linear image filtering techniques. |
| dmimghist |
tools |
Create a histogram of the pixel values in a 2-D image |
| dmimglasso |
tools |
Draw region around point with similar values |
| dmimgpick |
tools |
Maps image values to rows in a table |
| dmimgpm |
tools |
Compute a low frequency spatial (modified poisson mean) background map |
| dmimgproject |
tools |
Project image along axis |
| dmimgreproject |
tools |
Replicates table value along axis of image |
| dmimgthresh |
tools |
Set low (or high) intensity or exposure regions of an image to a constant value. |
| dmjoin |
tools |
Join two files whose sampling is different. |
| dmkeypar |
tools |
Retrieve information about a keyword from an input file |
| dmlist |
tools |
List contents or structure of a file. |
| dmmakepar |
tools |
Write header keywords to a parameter file |
| dmmakereg |
tools |
Convert a region string to a CXC FITS region file |
| dmmaskbin |
tools |
Bins an image based on input mask |
| dmmaskfill |
tools |
Replaces mask values with those found in lookup table |
| dmmath |
tools |
Syntax used for writing mathematical operations in dmtcalc, dmimgcalc, and dmgti |
| dmmerge |
tools |
Merge two or more compatible tables (e.g. event files) into one. |
| dmnautilus |
tools |
performs a quad-tree adaptive binning on 2D images |
| dmopt |
dm |
Controlling Data Model internal options |
| dmpaste |
tools |
Add new columns to a table. |
| dmreadpar |
tools |
Create header keywords from a parameter file |
| dmregions |
dm |
CIAO region filtering syntax |
| dmregrid2 |
tools |
shift, rotate, scale images |
| dmregrid |
tools |
Rebin a stack of 2-dimensional images. |
| dmsort |
tools |
Sort a table. |
| dmstat |
tools |
Compute statistics for images and columns in tables. |
| dmtcalc |
tools |
Modify and create columns in a table |
| dmtype2split |
tools |
Create a type 1 PHA output file for specified rows of a type 2 PHA file. |
| dm |
dm |
CIAO Data Model: syntax for filtering and binning files |
|
| E |
eff2evt |
tools |
Compute the flux and look up the QE & effective area for event positions |
| evalpos |
tools |
Get image values at a specified (RA,DEC) |
| eventdef |
chandra |
Column definition in Chandra event files |
|
| F |
fit_primini |
py.sherpa_contrib |
Fit the model to the data using the Primini iterative-fitting scheme |
| fit_primini |
sl.sherpa_contrib |
Fit the model to the data using the Primini iterative-fitting scheme |
| fullgarf |
tools |
Create a grating ARF for a particular order and grating for a given observation. |
|
| G |
get_axis_transform |
py.crates |
Return the axis transform from an IMAGECrate. |
| get_axis_transform |
sl.crates |
Return the axis transform from an IMAGECrate. |
| get_chart_spectrum |
py.sherpa_contrib |
Return the model spectrum in the form required by ChaRT |
| get_chart_spectrum |
sl.sherpa_contrib |
Return the model spectrum in the form required by ChaRT |
| get_colvals |
py.crates |
Get the column values from a crate. |
| get_colvals |
sl.crates |
Get the column values from a crate. |
| get_col_names |
py.crates |
Return an array of the column names in a crate. |
| get_col_names |
sl.crates |
Return an array of the column names in a crate. |
| get_col |
py.crates |
Return a CrateData object of a column from a crate. |
| get_col |
sl.crates |
Return a CrateData object of a column from a crate. |
| get_crate_item_type |
py.crates |
Return the type of the crate item as a string. |
| get_crate_item_type |
sl.crates |
Return the type of the crate item as a string. |
| get_crate_type |
py.crates |
Return the type of the crate as a string. |
| get_crate_type |
sl.crates |
Return the type of the crate as a string. |
| get_data_prof_prefs |
py.sherpa_contrib |
The plot preferences for radial or elliptical profiles of imaging data. |
| get_data_prof_prefs |
sl.sherpa_contrib |
The plot preferences for radial or elliptical profiles of imaging data. |
| get_data_prof |
py.sherpa_contrib |
Return the data used to create the radial or elliptical profile of imaging data. |
| get_data_prof |
sl.sherpa_contrib |
Return the data used to create the radial or elliptical profile of imaging data. |
| get_delchi_prof_prefs |
py.sherpa_contrib |
The plot preferences for radial or elliptical profiles of the residuals (data - model)/error to imaging data. |
| get_delchi_prof_prefs |
sl.sherpa_contrib |
The plot preferences for radial or elliptical profiles of the residuals (data - model)/error to imaging data. |
| get_delchi_prof |
py.sherpa_contrib |
Return the data used to create the radial or elliptical profile of the residuals (data - model)/error to imaging data. |
| get_delchi_prof |
sl.sherpa_contrib |
Return the data used to create the radial or elliptical profile of the residuals (data - model)/error to imaging data. |
| get_fit_prof |
py.sherpa_contrib |
Return the data used to create the radial or elliptical profile of fits to imaging data. |
| get_fit_prof |
sl.sherpa_contrib |
Return the data used to create the radial or elliptical profile of fits to imaging data. |
| get_instmap_weights |
py.sherpa_contrib |
Return the model spectrum in the form required by mkinstmap |
| get_instmap_weights |
sl.sherpa_contrib |
Return the model spectrum in the form required by mkinstmap |
| get_keyval |
py.crates |
Return the value of a keyword in a crate. |
| get_keyval |
sl.crates |
Return the value of a keyword in a crate. |
| get_key_names |
py.crates |
Return an array of the keywords in a crate. |
| get_key_names |
sl.crates |
Return an array of the keywords in a crate. |
| get_key |
py.crates |
Return a CrateKey object of a keyword from a crate. |
| get_key |
sl.crates |
Return a CrateKey object of a keyword from a crate. |
| get_model_prof_prefs |
py.sherpa_contrib |
The plot preferences for radial or elliptical profiles of the model (after any PSF convolution) for imaging data. |
| get_model_prof_prefs |
sl.sherpa_contrib |
The plot preferences for radial or elliptical profiles of the model (after any PSF convolution) for imaging data. |
| get_model_prof |
py.sherpa_contrib |
Return the data used to create the radial or elliptical profile of the source model (after any PSF convolution) for imaging data. |
| get_model_prof |
sl.sherpa_contrib |
Return the data used to create the radial or elliptical profile of the source model (after any PSF convolution) for imaging data. |
| get_number_cols |
py.crates |
Return the number of columns in a crate. |
| get_number_cols |
sl.crates |
Return the number of columns in a crate. |
| get_number_rows |
py.crates |
Return the number of rows in a crate. |
| get_number_rows |
sl.crates |
Return the number of rows in a crate. |
| get_piximgvals |
py.crates |
Return the values from an image crate. |
| get_piximgvals |
sl.crates |
Return the values from an image crate. |
| get_piximg_shape |
py.crates |
Return the dimension array describing the image shape. |
| get_piximg_shape |
sl.crates |
Return the dimension array describing the image shape. |
| get_piximg |
py.crates |
Return a CrateData object of an image from a crate. |
| get_piximg |
sl.crates |
Return a CrateData object of an image from a crate. |
| get_resid_prof_prefs |
py.sherpa_contrib |
The plot preferences for radial or elliptical profiles of the residuals (data - model) to imaging data. |
| get_resid_prof_prefs |
sl.sherpa_contrib |
The plot preferences for radial or elliptical profiles of the residuals (data - model) to imaging data. |
| get_resid_prof |
py.sherpa_contrib |
Return the data used to create the radial or elliptical profile of the residuals (data - model) to imaging data. |
| get_resid_prof |
sl.sherpa_contrib |
Return the data used to create the radial or elliptical profile of the residuals (data - model) to imaging data. |
| get_sky_limits |
tools |
Find the region covered by an image in sky coordinates |
| get_source_prof_prefs |
py.sherpa_contrib |
The plot preferences for radial or elliptical profiles of the source model for imaging data. |
| get_source_prof_prefs |
sl.sherpa_contrib |
The plot preferences for radial or elliptical profiles of the source model for imaging data. |
| get_source_prof |
py.sherpa_contrib |
Return the data used to create the radial or elliptical profile of the source model (before any PSF convolution) for imaging data. |
| get_source_prof |
sl.sherpa_contrib |
Return the data used to create the radial or elliptical profile of the source model (before any PSF convolution) for imaging data. |
| get_src_region |
tools |
Outputs regions that have counts higher than background |
| get_transform_matrix |
py.crates |
Extract the transform matrix from a crate. |
| get_transform_matrix |
sl.crates |
Extract the transform matrix from a crate. |
| get_transform_type |
py.transform |
Return the flavor of the input Transform object. |
| get_transform_type |
sl.transform |
Return the flavor of the input Transform object. |
| get_transform |
py.crates |
Extract the transform from a crate. |
| get_transform |
sl.crates |
Extract the transform from a crate. |
| glvary |
tools |
Search for variability using Gregory-Loredo algorithm. |
| group_slang |
modules |
The S-Lang interface to the CXC grouping library |
| grpAdaptiveSnr |
group |
Adaptively group an array by signal to noise. |
| grpAdaptive |
group |
Group an array by the number of counts per group using an adaptive scheme. |
| grpBinFile |
group |
Group an array using the grouping applied to another dataset. |
| grpBinWidth |
group |
Group an array into a set of equal-width groups (by group width). |
| grpBin |
group |
Group an array using low and high boundaries. |
| grpGetChansPerGroup |
group |
Calculate the number of channels (elements) in each group. |
| grpGetGroupSum |
group |
Apply the supplied grouping to an array. |
| grpGetGrpNum |
group |
Calculate the group number for each element in the array. |
| grpMaxSlope |
group |
Group an array so that its absolute gradient is above a user-defined limit. |
| grpMinSlope |
group |
Group an array so that its absolute gradient is below a user-defined limit. |
| grpNumBins |
group |
Group an array into a set of equal-width groups (by number of groups). |
| grpNumCounts |
group |
Group an array by the number of counts per group. |
| grpSnr |
group |
Group an array by signal to noise. |
| gui |
gui |
Graphical User Interface (GUI) |
|
| H |
hrc_build_badpix |
tools |
Create observation-specific bad pixel file for HRC |
| hrc_dtfstats |
tools |
Calculate statistics from hrc_calc_dead_time and a GTI |
| hrc_process_events |
tools |
Correct HRC event positions, times, PHA, etc. |
|
| I |
is_arf |
py.crates |
Determine if the crate contains an ARF. |
| is_arf |
sl.crates |
Determine if the crate contains an ARF. |
| is_pha |
py.crates |
Determine if the crate contains a PHA file. |
| is_pha |
sl.crates |
Determine if the crate contains a PHA file. |
| is_rmf |
py.crates |
Determine if the crate contains an RMF. |
| is_rmf |
sl.crates |
Determine if the crate contains an RMF. |
| is_virtual |
py.crates |
Determine if the input column from the crate is a virtual column. |
| is_virtual |
sl.crates |
Determine if the input column from the crate is a virtual column. |
|
| K |
key_exists |
py.crates |
Determine if the keyword exists in the crate. |
| key_exists |
sl.crates |
Determine if the keyword exists in the crate. |
|
| L |
lc_clean |
py.contrib |
lc_clean - remove periods of high (or low) count rates using the same technique as the ACIS background files |
| lc_clean |
sl.contrib |
lc_clean - remove periods of high (or low) count rates using the same technique as the ACIS background files |
| lc_sigma_clip |
py.contrib |
lc_sigma_clip - remove flares from a light curve using an iterative sigma-clipping algorithm (used to be called analyze_ltcrv) |
| lc_sigma_clip |
sl.contrib |
lc_sigma_clip - remove flares from a light curve using an iterative sigma-clipping algorithm (used to be called analyze_ltcrv) |
| level |
chandra |
Describes the amount of processing performed to create a given product. |
| lightcurves |
py.contrib |
lightcurves - routines to remove periods of anomalously high (or low) count rates in a lightcurve |
| lightcurves |
sl.contrib |
lightcurves - routines to remove periods of anomalously high (or low) count rates in a lightcurve |
| lim_sens |
tools |
Create an output limiting sensitivity map with the same blocking factor, dimensions and WCS |
|
| M |
make_table_crate |
py.crates_contrib |
Create a TABLE Crate from a set of arrays (columns). |
| make_table_crate |
sl.crates_contrib |
Create a TABLE Crate from a set of arrays (columns). |
| merge_all |
tools |
Combine any number of observations. If desired, create corresponding exposure maps and exposure-corrected images. |
| merging_rules |
concept |
A description of the merging rules used when combining header information. |
| mkacisrmf |
tools |
Generate an RMF for Chandra imaging data |
| mkarf |
tools |
Generate an ARF for Chandra imaging data (and grating 0-th order) |
| mkbgreg |
tools |
Creates a stack of background regions for a given source list |
| mkexpmap |
tools |
Generate a Chandra imaging exposure map (effective area vs. sky position) |
| mkgarf |
tools |
Generate a Chandra Grating ARF for one detector element. |
| mkgrmf |
tools |
Generate an RMF for Chandra grating data |
| mkinstmap |
tools |
Generate a Chandra instrument map (effective area vs. detector position) |
| mkpsfmap |
tools |
Look up the PSF-size for each pixel in an image |
| mkpsf |
tools |
Extract a point spread function (PSF) from the PSF library. |
| mkrmf |
tools |
Generate an RMF for Chandra imaging data |
| mksubbgreg |
tools |
Subtracts source regions from background regions |
| mkwarf |
tools |
Generate a weighted ARF for Chandra ACIS data |
| modelflux |
sherpa_tools |
Calculate model flux or count rate |
| mtl_build_gti |
tools |
Create Good Time Interval from Mission Time Line and limits |
| mtl |
chandra |
A description of the Mission Time Line (MTL) |
|
| O |
obsvis |
proposaltools |
ObsVis is the Observation Visualizer created at the Chandra Science Center in Cambridge Massachusetts, USA. |
|
| P |
paccess |
paramio |
Returns the path to the specified parameter file. |
| paccess |
tools |
Gives the location of a tool's parameter file |
| paramclose |
paramio |
Close a parameter file opened by paramopen. |
| parameter |
concept |
Describes the parameter interface used by CIAO. |
| paramio |
modules |
The S-Lang interface to the CXC parameter system |
| paramopen |
paramio |
Open a parameter file. |
| pdump |
tools |
Dumps the values of the parameters, with one parameter per line. |
| peg |
gui |
PEG: the parameter editor GUI (for CXCDS parameter interface) |
| pgets |
paramio |
Read/write individual parameter values from S-Lang. |
| pget |
paramio |
Get a parameter value within S-Lang. |
| pget |
tools |
Get parameter values |
| pileup_map |
tools |
Compute image that gives indication of pileup. |
| pileup |
chandra |
An overview of pileup in the Chandra ACIS detector. |
| pimms |
proposaltools |
PIMMS (Portable, Interactive Multi-Mission Simulator) converts source fluxes and count rates between missions. |
| pixlib |
modules |
The S-Lang interface to the CXC pixlib library |
| pix_apply_aspect |
pixlib |
Convert from FPC to Sky tangent coordinates by applying an aspect solution. |
| pix_chip_to_fpc |
pixlib |
Convert from the Chip to Focal Plane coordinate (FPC) system. |
| pix_chip_to_gdp |
pixlib |
Convert from the Chip to Grating Dispersion Plane (GDP) coordinate system. |
| pix_chip_to_tdet |
pixlib |
Convert from the Chip to Tiled Detector (TDET) coordinate system. |
| pix_close_pixlib |
pixlib |
Convert between different Chandra coordinate systems in S-Lang |
| pix_deapply_aspect |
pixlib |
Convert from Sky tangent coordinates to FPC by reversing the aspect solution. |
| pix_disp_config |
pixlib |
Display the current settings of the pixlib module. |
| pix_dmTanPixToWorld |
pixlib |
Convert from FPC to World (celestial) coordinates by applying an aspect solution. |
| pix_dmTanWorldToPix |
pixlib |
Convert from World (celestial) to FPC coordinates by applying an aspect solution. |
| pix_fpc_to_chip |
pixlib |
Convert from the Focal Plane (FPC) to Chip coordinate system. |
| pix_fpc_to_gdp |
pixlib |
Convert from the Focal Plane (FPC) to Grating Dispersion Plane (GDP) coordinate system. |
| pix_fpc_to_msc |
pixlib |
Convert from the Focal Plane (FPC) to Mirror Spherical (MSC) coordinate system. |
| pix_gac_to_gdp |
pixlib |
Convert from the Grating diffracted Angular coordinates (GAC) to Grating Dispersion Plane (GDP) coordinate system. |
| pix_gdp_to_gac |
pixlib |
Convert from the Grating Dispersion Plane (GDP) to Grating diffracted Angular coordinates (GAC) system. |
| pix_get_energy |
pixlib |
Return the photon energy corresponding to a given grating dispersion (GAC) value. |
| pix_get_flength |
pixlib |
Return the value of the telescope focal length used by the pixlib module. |
| pix_get_fp_scale_in_asec |
pixlib |
Returns the pixel size in arcsec for the current detector |
| pix_get_grating_angle |
pixlib |
Return the grating angle of the currently-selected grating arm. |
| pix_get_grating_period |
pixlib |
Return the grating period of the currently-selected grating arm. |
| pix_get_grating_wavelength |
pixlib |
Return the photon wavelength corresponding to a given grating dispersion (GAC) value. |
| pix_get_rowland |
pixlib |
Return the value of the Rowland Circle diameter used by the pixlib module. |
| pix_init_pixlib |
pixlib |
Initialize the pixlib library. |
| pix_set_aimpoint |
pixlib |
Set the aim point to be used by the pixlib module. |
| pix_set_detector |
pixlib |
Set the detector to use in the pixlib routines. |
| pix_set_fpsys |
pixlib |
Set the focal plane system for the pixlib module. |
| pix_set_gdpsys |
pixlib |
Set the grating dispersion plane (GDP) system for the pixlib module. |
| pix_set_grating |
pixlib |
Set the grating arm and order to use in the pixlib module. |
| pix_set_gzo |
pixlib |
Set the grating zero-order position for the pixlib module. |
| pix_set_simoffset |
pixlib |
Set the stage position for the pixlib module. |
| pix_set_tdetsys |
pixlib |
Set the tiled detector plane system for the pixlib module. |
| pix_tdet_to_chip |
pixlib |
Convert from the Tiled Detector (TDET) to Chip coordinate system. |
| pline |
tools |
Display the parameter values, with all parameters on a single line |
| plist_names |
paramio |
List parameter names for a single tool from S-Lang. |
| plist |
tools |
List the contents of a parameter file. |
| plot_chart_spectrum |
py.sherpa_contrib |
Plot up the model spectrum in the form required by ChaRT |
| plot_chart_spectrum |
sl.sherpa_contrib |
Plot up the model spectrum in the form required by ChaRT |
| plot_instmap_weights |
py.sherpa_contrib |
Plot up the model spectrum in the form required by mkinstmap |
| plot_instmap_weights |
sl.sherpa_contrib |
Plot up the model spectrum in the form required by mkinstmap |
| pquery |
paramio |
Query a parameter value from S-Lang. |
| pquery |
tools |
Query whether a parameter exists and, if so, get and return its value. |
| precess |
proposaltools |
PRECESS is an interactive astronomical coordinate conversion program. It provides precession of equatorial coordinates and conversion between equatorial, ecliptic, galactic, and supergalactic coordinates. |
| print_axis_names |
py.crates |
Display the names of the axes in an image. |
| print_axis_names |
sl.crates |
Display the names of the axes in an image. |
| print_col_names |
py.crates |
Display the names of the columns in a crate. |
| print_col_names |
sl.crates |
Display the names of the columns in a crate. |
| print_key_names |
py.crates |
Display the names of the keywords in a crate. |
| print_key_names |
sl.crates |
Display the names of the keywords in a crate. |
| prism |
gui |
Format-independent file browsing GUI |
| prof_data |
py.sherpa_contrib |
Plot a radial or elliptical profile of imaging data. |
| prof_data |
sl.sherpa_contrib |
Plot a radial or elliptical profile of imaging data. |
| prof_delchi |
py.sherpa_contrib |
Plot a radial or elliptical profile of the residuals (data - model)/error to imaging data. |
| prof_delchi |
sl.sherpa_contrib |
Plot a radial or elliptical profile of the residuals (data - model)/error to imaging data. |
| prof_fit_delchi |
py.sherpa_contrib |
Plot a radial or elliptical profile of the fit (data and model) and residuals (data-model)/error to imaging data. |
| prof_fit_delchi |
sl.sherpa_contrib |
Plot a radial or elliptical profile of the fit (data and model) and residuals (data-model)/error to imaging data. |
| prof_fit_resid |
py.sherpa_contrib |
Plot a radial or elliptical profile of the fit (data and model) and residuals (data-model) to imaging data. |
| prof_fit_resid |
sl.sherpa_contrib |
Plot a radial or elliptical profile of the fit (data and model) and residuals (data-model) to imaging data. |
| prof_fit |
py.sherpa_contrib |
Plot a radial or elliptical profile of the fit (data and model) to imaging data. |
| prof_fit |
sl.sherpa_contrib |
Plot a radial or elliptical profile of the fit (data and model) to imaging data. |
| prof_model |
py.sherpa_contrib |
Plot a radial or elliptical profile of the model (after any PSF convolution) for imaging data. |
| prof_model |
sl.sherpa_contrib |
Plot a radial or elliptical profile of the model (after any PSF convolution) for imaging data. |
| prof_resid |
py.sherpa_contrib |
Plot a radial or elliptical profile of the residuals (data - model) to imaging data. |
| prof_resid |
sl.sherpa_contrib |
Plot a radial or elliptical profile of the residuals (data - model) to imaging data. |
| prof_source |
py.sherpa_contrib |
Plot a radial or elliptical profile of the source model for imaging data. |
| prof_source |
sl.sherpa_contrib |
Plot a radial or elliptical profile of the source model for imaging data. |
| prop-coords |
proposaltools |
Defines available coordinate systems for Chandra Proposal Tools |
| prop-time |
proposaltools |
Defines available calendars and timescales for command line versions of Chandra Proposal Tools |
| prop-tools |
proposaltools |
Tools that aid in the preparation and submission of Chandra proposals |
| pset |
paramio |
Set a parameter value within S-Lang. |
| pset |
tools |
Set parameter values on the command line |
| psextract |
tools |
Extract source and background ACIS spectra for point-like sources and build associated ARFs and RMFs. |
| psf_project_ray |
tools |
Project rays generated by ChaRT onto a semi-infinite detector plane. |
| punlearn |
paramio |
Restore the system defaults for a parameter file from S-Lang. |
| punlearn |
tools |
Restore system default parameter values |
| python |
scripting |
Python is a dynamic object-oriented programming language |
|
| R |
read_arf |
py.crates |
Load an ARF file into an ARFCrate. |
| read_arf |
sl.crates |
Load an ARF file into an ARFCrate. |
| read_file |
py.crates |
Read FITS or ASCII data into a crate. |
| read_file |
sl.crates |
Read FITS or ASCII data into a crate. |
| read_pha |
py.crates |
Load a PHA file into a PHACrate. |
| read_pha |
sl.crates |
Load a PHA file into a PHACrate. |
| read_rmf |
py.crates |
Load an RMF file into an RMFCrate. |
| read_rmf |
sl.crates |
Load an RMF file into an RMFCrate. |
| regArea |
region |
Calculate the area enclosed by a region. |
| regExtent |
region |
Calculate the bounding box of a region. |
| regInsideRegion |
region |
Is a point (or set of points) inside a region? |
| region |
modules |
The S-Lang interface to the CXC region library |
| regParse |
region |
Parse a region for use by the routines in the region library |
| regPrintRegion |
region |
Print out details about a region. |
| regRegionString |
region |
Print out details about a region. |
| reproject_aspect |
tools |
Modify aspect solution file RA, Dec, and roll or updfile WCS to minimize position differences between two source lists. |
| reproject_events |
tools |
Regrid an event file to a different tangent point |
| reproject_image_grid |
tools |
Projects image from one WCS to another |
| reproject_image |
tools |
Projects image from one WCS to another |
| rmfimg |
tools |
Create a simple image of an RMF or ARF file |
|
| S |
save_chart_spectrum |
py.sherpa_contrib |
Write out the model spectrum in the form required by ChaRT |
| save_chart_spectrum |
sl.sherpa_contrib |
Write out the model spectrum in the form required by ChaRT |
| save_instmap_weights |
py.sherpa_contrib |
Write out the model spectrum in the form required by mkinstmap |
| save_instmap_weights |
sl.sherpa_contrib |
Write out the model spectrum in the form required by mkinstmap |
| set_colvals |
py.crates |
Set the values of a column in a crate. |
| set_colvals |
sl.crates |
Set the values of a column in a crate. |
| set_keyval |
py.crates |
Set the keyword value in a crate. |
| set_keyval |
sl.crates |
Set the keyword value in a crate. |
| set_param_limits_from_image |
py.sherpa_contrib |
Set the limits for positional parameters (xpos,ypos) to match the image coordinate range (*DEPRECATED*) |
| set_param_limits_from_image |
sl.sherpa_contrib |
Set the limits for positional parameters (xpos,ypos) to match the image coordinate range (*DEPRECATED*) |
| set_piximgvals |
py.crates |
Set the image values in a data array. |
| set_piximgvals |
sl.crates |
Set the image values in a data array. |
| sherpa_chart |
py.sherpa_contrib |
Create and view spectral files for ChaRT (CIAO contributed package) |
| sherpa_chart |
sl.sherpa_contrib |
Create and view spectral files for ChaRT (CIAO contributed package) |
| sherpa_contrib |
py.sherpa_contrib |
Contributed CIAO routines for Sherpa. |
| sherpa_contrib |
sl.sherpa_contrib |
Contributed CIAO routines for Sherpa. |
| sherpa_flux_dist |
py.sherpa_contrib |
Create and plot the flux distributions of Sherpa models (DEPRECATED CIAO contributed package) |
| sherpa_flux_dist |
sl.sherpa_contrib |
Create and plot the flux distributions of Sherpa models (DEPRECATED CIAO contributed package) |
| sherpa_primini |
py.sherpa_contrib |
Fit data using the Primini iterative-fitting scheme (CIAO contributed package) |
| sherpa_primini |
sl.sherpa_contrib |
Fit data using the Primini iterative-fitting scheme (CIAO contributed package) |
| sherpa_profiles |
py.sherpa_contrib |
Radial profiles of imaging data in Sherpa (CIAO contributed package) |
| sherpa_profiles |
sl.sherpa_contrib |
Radial profiles of imaging data in Sherpa (CIAO contributed package) |
| sherpa_utils |
py.sherpa_contrib |
Utility routines for Sherpa (CIAO contributed package) |
| sherpa_utils |
sl.sherpa_contrib |
Utility routines for Sherpa (CIAO contributed package) |
| simple_hist |
py.ciao_contrib |
Create a one-dimensional histogram of a data array |
| simple_hist |
sl.ciao_contrib |
Create a one-dimensional histogram of a data array |
| simple_stats |
py.ciao_contrib |
Calculate several basic statistic values for a data array |
| simple_stats |
sl.ciao_contrib |
Calculate several basic statistic values for a data array |
| skyfov |
tools |
Make a field-of-view region in sky coordinates |
| slang |
slang |
The S-Lang programing language |
| slsh |
slang |
Evaluate and run S-Lang code. |
| specextract |
tools |
Extract source and background ACIS spectra for point-like and extended sources and build associated WMAPs, ARFs and RMFs. |
| srcextent |
sherpa_tools |
Determine if a source is extended within a confidence interval. |
| sso_freeze |
tools |
Reproject sky x and y coordinates into a Solar System Object centered reference frame. |
| stackio |
modules |
The S-Lang interface to the CXC stack library |
| stack |
concept |
How to set a parameter to more than one value using a stack. |
| stk_append |
stackio |
Add an item (or items) to a stack. |
| stk_build |
stackio |
Build a stack from text input (file name or regular expression). |
| stk_build |
tools |
stk_build is used to build a stack from a user-defined string. The output is to stdout, stderr, or a file. |
| stk_change_current |
stackio |
Change the current element of a stack. |
| stk_change_num |
stackio |
Change the given element of a stack. |
| stk_close |
stackio |
Close a stack. |
| stk_count |
stackio |
Returns the number of elements in a stack. |
| stk_count |
tools |
stk_count is used to count the number of items in a stack. The output is to the stk_count parameter file. |
| stk_current |
stackio |
Returns the current position of the stack. |
| stk_delete_current |
stackio |
Deletes the current element from the stack. |
| stk_delete_num |
stackio |
Deletes the specified element from the stack. |
| stk_disp |
stackio |
Display the contents of a stack. |
| stk_expand_n |
stackio |
Create a numbered stack of N elements. |
| stk_read_next |
stackio |
Returns the next element from a stack. |
| stk_read_num |
stackio |
Returns the selected element from a stack. |
| stk_read_num |
tools |
stk_read_num is used to read one element of a user-defined stack. The output is to the outelement field of the stk_read_num parameter file. |
| stk_rewind |
stackio |
Rewind the stack to its starting position. |
| stk_set_current |
stackio |
Sets the current position of the stack. |
| stk_where |
tools |
stk_where finds the location of an item in a stack |
| subspace |
concept |
Describes the filtering applied to a file |
|
| T |
taskmonitor |
gui |
GUI to run a task as a background process and display the output |
| tgdetect |
tools |
Detect and centroid the zero order image in a spatial sub-region of a grating event list. |
| tgextract2 |
tools |
Bin event list grating wavelengths column into a one-dimensional counts histogram, by source, grating part, and diffraction order. Optionally bin background spectrum. |
| tgextract |
tools |
Bin event list grating wavelengths column into a one-dimensional counts histogram, by source, grating part, and diffraction order. |
| tgidselectsrc |
tools |
Filter an input source list based upon a SNR threshold. |
| tgmatchsrc |
tools |
Match sources between two source lists by their 2-D separation files. |
| tg_bkg |
tools |
Creates a PHA background file for use in XSPEC |
| tg_create_mask |
tools |
Create a region file to define spectrum sky boundaries |
| tg_resolve_events |
tools |
Assign grating events to spectral orders; use detector energy resolution for order separation, if available. |
| times |
chandra |
"Times" used in Chandra datasets and Chandra data analysis |
| transform |
py.transform |
TRANSFORMS - A high-level interface for the Transform library |
| transform |
sl.transform |
TRANSFORMS - A high-level interface for the Transform library |
|
| V |
vtpdetect |
tools |
Voronoi Tessellation and Percolation (VTP) source detection |
|
| W |
wavdetect |
tools |
Mexican-Hat Wavelet source detection (wtransform+wrecon) |
| wcs_match |
tools |
Create a frame transformation to minimize the aspect difference between data from the same sky region. |
| wcs_update |
tools |
Modify aspect solution file RA, Dec, and roll or infile WCS based on a transformation matrix. |
| wrecon |
tools |
Combine wavelet transform coefficients into sources |
| write_arf |
py.crates |
Write an ARFCrate to an output file. |
| write_arf |
sl.crates |
Write an ARFCrate to an output file. |
| write_arrays |
py.crates_contrib |
Write arrays to an ASCII file |
| write_arrays |
sl.crates_contrib |
Write arrays to an ASCII file |
| write_columns |
py.crates_contrib |
Write out arrays (columns) to a file as a table (ASCII or FITS format). |
| write_columns |
sl.crates_contrib |
Write out arrays (columns) to a file as a table (ASCII or FITS format). |
| write_file |
py.crates |
Write a crate to an output file. |
| write_file |
sl.crates |
Write a crate to an output file. |
| write_pha |
py.crates |
Write a PHACrate to an output file. |
| write_pha |
sl.crates |
Write a PHACrate to an output file. |
| write_rmf |
py.crates |
Write an RMFCrate to an output file. |
| write_rmf |
sl.crates |
Write an RMFCrate to an output file. |
| wtransform |
tools |
Obtain wavelet transform coefficients for poisson image data |