Provided by: stilts_3.4.7-4_all 
NAME
stilts-tskymap - Calculates sky density maps
SYNOPSIS
stilts tskymap [ifmt=<in-format>] [istream=true|false] [in=<table>] [icmd=<cmds>]
[ocmd=<cmds>]
[omode=out|meta|stats|count|checksum|cgi|discard|topcat|samp|tosql|gui]
[out=<out-table>] [ofmt=<out-format>] [lon=<expr/deg>] [lat=<expr/deg>]
[tiling=hpx<K>|healpixnest<K>|healpixring<K>|htm<K>] [count=true|false]
[cols=<expr>[;<combiner>[;<name>]] ...] [combine=sum|sum-per-
unit|count|count-per-unit|mean|median|Q1|Q3|min|max|stdev|hit]
[perunit=steradian|degree2|arcmin2|arcsec2|mas2|uas2] [complete=true|false]
[runner=sequential|parallel|parallel<n>|partest]
DESCRIPTION
tskymap calculates a weighted density map (or, to put it another way, a histogram) on the
sky from columns of an input table. The sky is divided up into some discrete set of tiles
according to a specified tessellation scheme (currently HEALPix or HTM are supported), and
the required quantities are aggregated into bins corresponding to these tiles. The output
table has a column giving the pixel index identifying each tile, plus one or more columns
each representing an aggregation of a quantity from the input table.
By default the number of rows from the input table falling within each tile is included as
the first column in the output table. But by specifying the cols and combine parameters
you can add more columns giving the sum, mean, median or other statistics of input table
columns or expressions as well.
The output table can then, for instance, be plotted using plot2sky's healpix layer type
(though an alternative is to do that plot directly using a skydensity layer).
In the case of HEALPix tiling, the result can also be output in a FITS file suitable for
use by external applications that understand the semi-standard FITS-Healpix convention.
Note in this case, for maximum compatibility, the fits-healpix output format should in
general be used.
See also tgridmap, which does the same thing for N-dimensional grid geometry.
OPTIONS
ifmt=<in-format>
Specifies the format of the input table as specified by parameter in. The known
formats are listed in SUN/256. This flag can be used if you know what format your
table is in. If it has the special value (auto) (the default), then an attempt will
be made to detect the format of the table automatically. This cannot always be done
correctly however, in which case the program will exit with an error explaining
which formats were attempted. This parameter is ignored for scheme-specified
tables.
istream=true|false
If set true, the input table specified by the in parameter will be read as a
stream. It is necessary to give the ifmt parameter in this case. Depending on the
required operations and processing mode, this may cause the read to fail (sometimes
it is necessary to read the table more than once). It is not normally necessary to
set this flag; in most cases the data will be streamed automatically if that is the
best thing to do. However it can sometimes result in less resource usage when
processing large files in certain formats (such as VOTable). This parameter is
ignored for scheme-specified tables.
in=<table>
The location of the input table. This may take one of the following forms:
* A filename.
* A URL.
* The special value "-", meaning standard input. In this case the input format
must be given explicitly using the ifmt parameter. Note that not all formats
can be streamed in this way.
* A scheme specification of the form :<scheme-name>:<scheme-args>.
* A system command line with either a "<" character at the start, or a "|"
character at the end ("<syscmd" or "syscmd|"). This executes the given pipeline
and reads from its standard output. This will probably only work on unix-like
systems.
In any case, compressed data in one of the supported compression formats (gzip,
Unix compress or bzip2) will be decompressed transparently.
icmd=<cmds>
Specifies processing to be performed on the input table as specified by parameter
in, before any other processing has taken place. The value of this parameter is one
or more of the filter commands described in SUN/256. If more than one is given,
they must be separated by semicolon characters (";"). This parameter can be
repeated multiple times on the same command line to build up a list of processing
steps. The sequence of commands given in this way defines the processing pipeline
which is performed on the table.
Commands may alteratively be supplied in an external file, by using the indirection
character '@'. Thus a value of "@filename" causes the file filename to be read for
a list of filter commands to execute. The commands in the file may be separated by
newline characters and/or semicolons, and lines which are blank or which start with
a '#' character are ignored.
ocmd=<cmds>
Specifies processing to be performed on the output table, after all other
processing has taken place. The value of this parameter is one or more of the
filter commands described in SUN/256. If more than one is given, they must be
separated by semicolon characters (";"). This parameter can be repeated multiple
times on the same command line to build up a list of processing steps. The sequence
of commands given in this way defines the processing pipeline which is performed on
the table.
Commands may alteratively be supplied in an external file, by using the indirection
character '@'. Thus a value of "@filename" causes the file filename to be read for
a list of filter commands to execute. The commands in the file may be separated by
newline characters and/or semicolons, and lines which are blank or which start with
a '#' character are ignored.
omode=out|meta|stats|count|checksum|cgi|discard|topcat|samp|tosql|gui
The mode in which the result table will be output. The default mode is out, which
means that the result will be written as a new table to disk or elsewhere, as
determined by the out and ofmt parameters. However, there are other possibilities,
which correspond to uses to which a table can be put other than outputting it, such
as displaying metadata, calculating statistics, or populating a table in an SQL
database. For some values of this parameter, additional parameters (<mode-args>)
are required to determine the exact behaviour.
Possible values are
* out
* meta
* stats
* count
* checksum
* cgi
* discard
* topcat
* samp
* tosql
* gui
Use the help=omode flag or see SUN/256 for more information.
out=<out-table>
The location of the output table. This is usually a filename to write to. If it is
equal to the special value "-" (the default) the output table will be written to
standard output.
This parameter must only be given if omode has its default value of "out".
ofmt=<out-format>
Specifies the format in which the output table will be written (one of the ones in
SUN/256 - matching is case-insensitive and you can use just the first few letters).
If it has the special value "(auto)" (the default), then the output filename will
be examined to try to guess what sort of file is required usually by looking at the
extension. If it's not obvious from the filename what output format is intended, an
error will result.
This parameter must only be given if omode has its default value of "out".
lon=<expr/deg>
Longitude in degrees for the position of each row in the input table. This may
simply be a column name, or it may be an algebraic expression as explained in
SUN/256. The sky system used here will determine the grid on which the output map
is built.
lat=<expr/deg>
Latitude in degrees for the position of each row in the input table. This may
simply be a column name, or it may be an algebraic expression as explained in
SUN/256. The sky system used here will determine the grid on which the output map
is built.
tiling=hpx<K>|healpixnest<K>|healpixring<K>|htm<K>
Describes the sky tiling scheme that is in use. One of the following values may be
used:
* hpxK: alias for healpixnestK
* healpixnestK: HEALPix using the Nest scheme at order K
* healpixringK: HEALPix using the Ring scheme at order K
* htmK: Hierarchical Triangular Mesh at level K
So for instance hpx5 or healpixnest5 would both indicate the HEALPix NEST tiling
scheme at order 5.
At level K, there are 12*4^K HEALPix pixels, or 8*4^K HTM pixels on the sky. More
information about these tiling schemes can be found at the HEALPix and HTM web
sites.
count=true|false
Controls whether a COUNT column is added to the output table along with any other
columns that may have been requested. If included, this reports the number of rows
from the input table that fell within the corresponding bin.
cols=<expr>[;<combiner>[;<name>]] ...
Defines the quantities to be calculated. The value is a space-separated list of
items, one for each aggregated column in the output table.
Each item is composed of one, two or three tokens, separated by semicolon (";")
characters:
* <expr>: (required) column name or expression using the expression language for
the quantity to be aggregated.
* <combiner>: (optional) combination method, using the same options as for the
combine parameter. If omitted, the value specified for that parameter will be
used.
* <name>: (optional) name of output column; if omitted, the <expr> value (perhaps
somewhat sanitised) will be used.
It is often sufficient just to supply a space-separated list of input table column
names for this parameter, but the additional syntax may be required for instance if
it's required to calculate both a sum and mean of the same input column.
combine=sum|sum-per-unit|count|count-per-unit|mean|median|Q1|Q3|min|max|stdev|hit
Defines the default way that values contributing to the same density map bin are
combined together to produce the value assigned to that bin. Possible values are:
* sum: the sum of all the combined values per bin
* sum-per-unit: the sum of all the combined values per unit of bin size
* count: the number of non-blank values per bin (weight is ignored)
* count-per-unit: the number of non-blank values per unit of bin size (weight is
ignored)
* mean: the mean of the combined values
* median: the median
* Q1: first quartile
* Q3: third quartile
* min: the minimum of all the combined values
* max: the maximum of all the combined values
* stdev: the sample standard deviation of the combined values
* hit: 1 if any values present, NaN otherwise (weight is ignored)
For density-like values (count-per-unit, sum-per-unit) the scaling is additionally
influenced by the perunit parameter.
Note this value may be overridden on a per-column basis by the cols parameter.
perunit=steradian|degree2|arcmin2|arcsec2|mas2|uas2
Defines the unit of sky area used for scaling density-like combinations (e.g.
combine=count-per-unit or sum-per-unit). If the combination mode is calculating
values per unit area this configures the area scale in question. For non-density-
like combination modes (e.g. combine=sum or mean) it has no effect.
Possible values are:
* steradian: steradian
* degree2: square degree
* arcmin2: square arcminute
* arcsec2: square arcsecond
* mas2: square milliarcsec
* uas2: square microarcsec
complete=true|false
Determines whether the output table contains a row for every pixel in the tiling,
or only the rows for pixels in which some of the input data fell.
The value of this parameter may affect performance as well as output. If you know
that most pixels on the sky will be covered, it's probably a good idea to set this
true, and if you know that only a small patch of sky will be covered, it's better
to set it false.
runner=sequential|parallel|parallel<n>|partest
Selects the threading implementation, i.e. to what extent processing is done in
parallel. The options are currently:
* sequential: runs using only a single thread
* parallel: runs using multiple threads for large tables, with parallelism given
by the number of available processors
* parallel<n>: runs using multiple threads for large tables, with parallelism
given by the supplied value <n>
* partest: runs using multiple threads even when tables are small (only intended
for testing purposes)
Using parallel processing can speed up execution considerably; however, depending
on the I/O operations required, it can also slow it down by disrupting patterns of
disk access. If the content of a file is on a solid state disk, or is already in
cache for instance because a similar command has been run recently, then parallel
will probably be faster. However, if the data is being read directly from a
spinning disk, for instance because the file is too large to fit in RAM, then
sequential or parallel<n> with a small <n> may be faster.
The value of this parameter should make only very tiny differences to the output
table. If you notice significant discrepancies please report them.
SEE ALSO
stilts(1)
If the package stilts-doc is installed, the full documentation SUN/256 is available in
HTML format:
file:///usr/share/doc/stilts/sun256/index.html
VERSION
STILTS version 3.4.7-debian
This is the Debian version of Stilts, which lack the support of some file formats and
network protocols. For differences see
file:///usr/share/doc/stilts/README.Debian
AUTHOR
Mark Taylor (Bristol University)
Mar 2017 STILTS-TSKYMAP(1)