Command-line to create and manipulate HEALPix Multi-Order Coverages maps (MOCs)
Project description
moc-cli
A command-line to create and manipulate HEALPix Multi-Order Coverage maps (MOCs), , see this IVOA standard.
About
This Command Line Interface (CLI) is made from the Rust MOC library. It implements the v2.0 of the MOC standard, including (S-)MOCs, T-MOCs and ST-MOCs.
For tools able to display MOCs, see:
- the Aladin Desktop sky atlas in Java (also supports MOC operations)
- the Aladin Lite, "a lightweight version of the Aladin Sky Atlas running in the browser".
- MOCPy, a python wrapper using the very same Rust MOC library.
Install
From pypi for python users
MOC cli is available in pypi,
you can thus install the moc
executable using pip
:
pip install -U moc-cli
moc --help
Debian package
Download the last moc-cli_vxx_yyy.deb
corresponding to your architecture
(x86_64_musl
has the most chances to fit your needs)
from the github release page.
Install the .deb
by clicking on it or using the command line:
sudo dpkg -i moc-cli_vxx_yyy.deb
sudo apt-get install -f
Then you can use the tool:
moc-cli
man moc-cli
You can uninstall using, e.g.:
sudo dpkg -r $(dpkg -f moc-cli_vxx_yyy.deb Package)
WARNING: using this method, the command line name is moc-cli
instead of moc
due to a conflict with an existing debian moc
package.
Pre-compile binaries for MacOS, Linux and Windows
Download the last moc-vxx_yyy.tar.gz
corresponding to your architecture
from the github release page.
You probably want ot use:
- Linux:
moc-vxx-x86_64-unknown-linux-musl.tar.gz
- MacOS:
moc-vxx-x86_64-apple-darwin.tar.gz
- Windows:
moc-vxx-.zip
WARNING: for linux, use musl
instead of gnu
(high chances of uncompatibility in the latter case)
The tar contains a single executable binary file.
tar xzvf moc-vxx-yyy.tar.gz
./moc
Compile from source code
Install rust
(and check that ~/.cargo/bin/
is in your path),
or update the Rust compiler with:
rustup update
Clone the moc lib rust project:
git clone https://github.com/cds-astro/cds-moc-rust
Install from using cargo
:
cargo install --path crates/cli
(due to a heavy use of monomorphization, the compilation time may be very long, i.e. more than a minute).
Command line help
Once installed, you can get help messages using moc [SUBCOMMAND [SUBSUBCOMMAND [...]]] --help
.
A the root level moc --help
:
Create, manipulate and filter files using HEALPix Multi-Order Coverage maps (MOCs).
USAGE:
moc <SUBCOMMAND>
[...]
SUBCOMMANDS:
convert Converts an input format to the (most recent versions of) an output format
filter Filter file rows using a MOC
from Create a MOC from given parameters
help Prints this message or the help of the given subcommand(s)
info Prints information on the given MOC
op Perform operations on MOCs
table Prints MOC constants
moc from --help
:
USAGE:
moc from <SUBCOMMAND>
[...]
SUBCOMMANDS:
box Create a Spatial MOC from the given box
cone Create a Spatial MOC from the given cone
cones Create a Spatial MOC from a list of cones with centers and radius in decimal degrees (one pair
per line, format: longitude_deg,latitude_deg,radius_deg)
ellipse Create a Spatial MOC from the given elliptical cone
help Prints this message or the help of the given subcommand(s)
multi Create a Spatial MOC from regions in a CSV input. One region per input line. Format: *
cone,center_lon_deg,center_lat_deg,radius_deg *
ellipse,center_lon_deg,center_lat_deg,semi_maj_axis_deg,semi_min_axis_deg,position_angle_deg *
ring,center_lon_deg,center_lat_deg,internal_radius_deg,external_radius_deg *
box,center_lon_deg,center_lat_deg,semi_maj_axis_deg,semi_min_axis_deg,position_angle_deg *
zone,lon_min_deg,lat_min_deg,lon_max_deg,lat_max_deg *
polygon(,complement),vertex_lon_deg_1,vertex_lat_deg_1,vertex_lon_deg_2,vertex_lat_deg_2,...,vertex_lon_deg_n,vertex_lat_deg_n
polygon Create a Spatial MOC from the given polygon
pos Create a Spatial MOC from a list of positions in decimal degrees (one pair per line, longitude
first, then latitude)
ring Create a Spatial MOC from the given ring
stcs Create a Spatial MOC from a STC-S input
timerange Create a Time MOC from a list of time range (one range per line, lower bound first, then upper
bound)
timerangepos Create a Space-Time MOC from a list of time range and positions in decimal degrees (tmin first,
then tmax, then longitude, and latitude)..
timestamp Create a Time MOC from a list of timestamp (one per line)
timestamppos Create a Space-Time MOC from a list of timestamp and positions in decimal degrees (timestamp
first, then longitude, then latitude)..
vcells Multi-order map input file format
zone Create a Spatial MOC from the given zone
moc op --help
:
USAGE:
moc op <SUBCOMMAND>
[...]
SUBCOMMANDS:
complement Performs a logical 'NOT' on the input MOC (= MOC complement)
contract Remove an the internal border made of cells having the MOC depth, SMOC only
degrade Degrade the input MOC (= MOC complement)
diff Performs a logical 'XOR' between 2 MOCs (= MOC difference)
extborder Returns the MOC external border (made of cell of depth the MOC depth), SMOC only
extend Add an extra border of cells having the MOC depth, SMOC only
help Prints this message or the help of the given subcommand(s)
intborder Returns the MOC internal border (made of cell of depth the MOC depth), SMOC only
inter Performs a logical 'AND' between 2 MOCs (= MOC intersection)
minus Performs the logical operation 'AND(left, NOT(right))' between 2 MOCs (= left minus right)
sfold Returns the union of the T-MOCs associated to S-MOCs intersecting the given S-MOC. Left: S-MOC,
right: ST-MOC, res: T-MOC
split Split the disjoint parts of the MOC into distinct MOCs, SMOC only. WARNING: this may create a lot
of files, use first option `--count`
tfold Returns the union of the S-MOCs associated to T-MOCs intersecting the given T-MOC. Left: T-MOC,
right: ST-MOC, res: S-MOC
union Performs a logical 'OR' between 2 MOCs (= MOC union)
and so on (e.g moc op degrade --help
).
Examples
moc table space
moc info resources/V_147_sdss12.moc.fits
moc info resources/CDS-I-125A-catalog_MOC.fits
moc op inter resources/V_147_sdss12.moc.fits resources/CDS-I-125A-catalog_MOC.fits fits my_res.fits
moc info my_res.fits
moc from cone 11 0.0 +0.0 0.1 ascii --fold 50 my_cone.ascii
moc convert -t smoc my_cone.ascii fits -f my_cone.fits
moc from ring 10 13.158329 -72.80028 5.64323 10.0 ascii --fold 80
## Frequency MOCs
echo "0/0 8/" | moc hprint --type fmoc --format ascii -
echo "0/0-1 8/" | moc convert --type smoc --format ascii - fits moc.d8.allfreq.fits
moc info moc.d8.allfreq.fits
moc hprint moc.d8.allfreq.fits
for f in {0..63}; do echo "5/$f" | moc hprint --type fmoc --format ascii - --no-header; done
for f in {0..511}; do echo "8/$f" | moc hprint --type fmoc --format ascii - --no-header; done
for f in {0..1023}; do echo "9/$f" | moc hprint --type fmoc --format ascii - --no-header; done
for f in {0..8191}; do echo "12/$f" | moc hprint --type fmoc --format ascii - --no-header; done
for f in {0..65536}; do echo "15/$f" | moc hprint --type fmoc --format ascii - --no-header; done
echo "0.125
0.2569
0.1478
0.9985
1.5983
20.256
3500" | \
moc from freqval 9 - ascii | \
moc hprint --type fmoc --format ascii -
Building a MOC from the Hipparcos positions:
egrep "^ *[0-9]" hip.psv | cut -d '|' -f 2-3 | tr -d ' ' | moc from pos 5 - --separator '|' ascii
Build a MOC from XMM observation list
Build a raw MOC from the list of XMM observations, considering a radius of 17 arcmin around
each observation center.
The xmmdr11_obs_center.17arcmin.csv
file contains 12210 RA_CENTER,DEC_CENTER,17arcmin
rows.
Excerpt of the xmmdr11_obs_center.17arcmin.csv
file:
> head -10 xmmdr11_obs_center.17arcmin.csv
64.89763,56.02272,0.283333333
263.65793,-32.556,0.283333333
99.36542,6.1115,0.283333333
193.49612,10.215167,0.283333333
58.45729,23.414083,0.283333333
187.05229,-15.758583,0.283333333
167.09784,-77.61408,0.283333333
196.76967,-23.647583,0.283333333
121.03321,5.086472,0.283333333
17.898624,-38.09336,0.283333333
...
Create the MOC
> time moc from cones -s , 12 ../../resources/xmmdr11_obs_center.17arcmin.csv fits --force-u64 xmm.moc.fits
real 0m2,852s
user 0m2,812s
sys 0m0,028s
> moc info xmm.moc.fits
MOC type: SPACE
MOC index type: u64
MOC depth: 12
MOC coverage: 3.962597748 %
# Count the number of disjoint regions from the 12210 FOVs
> time moc op split --count /home/pineau/Eclipse/ARCHES/scriptsNoSync/xmm.moc.fits ascii
4414
real 0m2,617s
user 0m2,604s
sys 0m0,005s
Build a S-MOC from a STC-S string
Example from the STC-S document:
echo "Circle ICRS 147.6 69.9 0.4" | moc from stcs 14 - fits stcs.moc.fits --force-u64
moc view stcs.moc.fits moc.png auto 200
Gives:
Union of polygons extracted from the ObsCore table in the ESO TAP service
echo "UNION ICRS (
POLYGON 97.910103 -68.229734 98.035349 -68.420531 97.511326 -68.464218 97.391307 -68.272593
POLYGON J2000 97.188217 -68.288771 97.305736 -68.48057 96.776416 -68.522768 96.664513 -68.330377
POLYGON J2000 96.460678 -68.346375 96.570253 -68.53902 96.038308 -68.579466 95.934565 -68.386491
POLYGON J2000 95.729059 -68.401779 95.830709 -68.594846 95.299598 -68.633367 95.203792 -68.440235
POLYGON J2000 98.143037 -68.584332 98.270871 -68.777025 97.738257 -68.822153 97.614955 -68.628624
POLYGON J2000 97.40776 -68.64555 97.529291 -68.839407 96.99076 -68.882535 96.874102 -68.688121
POLYGON J2000 96.665259 -68.704476 96.77987 -68.899046 96.23834 -68.939924 96.12885 -68.745102
POLYGON J2000 95.919684 -68.760503 96.027183 -68.955344 95.486003 -68.993812 95.383753 -68.799015
POLYGON J2000 98.380832 -68.941608 98.510226 -69.134393 97.970196 -69.180998 97.844529 -68.987451
POLYGON J2000 97.634 -69.005104 97.757563 -69.198965 97.211008 -69.242868 97.091422 -69.048526
POLYGON J2000 96.879196 -69.06502 96.997918 -69.25945 96.448228 -69.300719 96.333728 -69.1061
POLYGON J2000 96.120984 -69.121688 96.233684 -69.316281 95.683977 -69.354548 95.575734 -69.160047
POLYGON J2000 98.620662 -69.29853 98.74967 -69.489628 98.203593 -69.537139 98.077564 -69.345424
POLYGON J2000 97.864897 -69.363161 97.991114 -69.554985 97.438647 -69.599924 97.315514 -69.407714
POLYGON J2000 97.100269 -69.424445 97.22188 -69.616836 96.665842 -69.65841 96.54754 -69.46587
POLYGON J2000 96.332041 -69.481439 96.448747 -69.674048 95.891855 -69.712065 95.778776 -69.519528
)" | sed -r 's/J2000//g' | \
moc from stcs 16 - fits stcs.fits --force-u64
moc view stcs.fits moc.png auto 600
Gives:
Remarks:
- we so far support only
ICRS
so we replace the firtsJ2000
in the original string byICRS
- the STC-S is not standard (with respect to the STC-S draft) so we remove the
J2000
usingsed
.
Complex polygon
echo "Polygon ICRS 259.779020 -36.182932 259.776702 -36.186804 259.771638 -36.185890
259.772903 -36.170965 259.770948 -36.168452 259.766725 -36.170651 259.762834 -36.167880
259.763731 -36.165062 259.767126 -36.163827 259.768464 -36.153306 259.775446 -36.148788
259.769596 -36.135517 259.764601 -36.133574 259.763255 -36.126446 259.755778 -36.124821
259.753657 -36.122446 259.752091 -36.125717 259.748402 -36.126581 259.744966 -36.123224
259.749312 -36.114598 259.762948 -36.106041 259.759436 -36.103058 259.760376 -36.099663
259.765016 -36.098826 259.767684 -36.102082 259.773773 -36.098700 259.768227 -36.092652
259.769796 -36.079719 259.774018 -36.074916 259.779750 -36.073295 259.774669 -36.062560
259.770285 -36.062490 259.768332 -36.059390 259.770514 -36.056611 259.777253 -36.055429
259.792567 -36.057523 259.795238 -36.060699 259.791804 -36.064056 259.782410 -36.062939
259.789399 -36.075403 259.787283 -36.077757 259.778147 -36.080762 259.776591 -36.091715
259.784863 -36.095193 259.786494 -36.102683 259.794458 -36.104560 259.797513 -36.103525
259.800137 -36.102101 259.802003 -36.094898 259.795104 -36.098376 259.791948 -36.096974
259.791273 -36.094116 259.796555 -36.089885 259.800794 -36.089963 259.800636 -36.078803
259.805260 -36.076262 259.808825 -36.078801 259.807830 -36.084885 259.810448 -36.094643
259.808066 -36.103578 259.799912 -36.109740 259.801174 -36.113477 259.805956 -36.115134
259.805673 -36.118789 259.801985 -36.120191 259.794028 -36.118194 259.779591 -36.127983
259.780279 -36.132041 259.776522 -36.134755 259.785372 -36.148741 259.791126 -36.148934
259.793243 -36.143417 259.796550 -36.141837 259.805073 -36.147755 259.803338 -36.150735
259.794941 -36.152696 259.792043 -36.155585 259.779929 -36.153563 259.776332 -36.155577
259.774520 -36.160554 259.780315 -36.168504" | \
moc from stcs 18 - fits stcs_alma1.moc.fits --force-u64
moc view stcs_alma1.moc.fits stcs_alma1.moc.png auto 600
Gives:
Complex polygon with holes
Either
echo "Difference ICRS (
Polygon 272.536719 -19.461249 272.542612 -19.476380 272.537389 -19.491509 272.540192 -19.499823
272.535455 -19.505218 272.528024 -19.505216 272.523437 -19.500298 272.514082 -19.503376
272.502271 -19.500966 272.488647 -19.490390 272.481932 -19.490913 272.476737 -19.486589
272.487633 -19.455645 272.500386 -19.444996 272.503003 -19.437557 272.512303 -19.432436
272.514132 -19.423973 272.522103 -19.421523 272.524511 -19.413250 272.541021 -19.400024
272.566264 -19.397500 272.564202 -19.389111 272.569055 -19.383210 272.588186 -19.386539
272.593376 -19.381832 272.596327 -19.370541 272.624911 -19.358915 272.629256 -19.347842
272.642277 -19.341020 272.651322 -19.330424 272.653174 -19.325079 272.648903 -19.313708
272.639616 -19.311098 272.638128 -19.303083 272.632705 -19.299839 272.627971 -19.289408
272.628226 -19.276293 272.633750 -19.270590 272.615109 -19.241810 272.614704 -19.221196
272.618224 -19.215572 272.630809 -19.209945 272.633540 -19.198681 272.640711 -19.195292
272.643028 -19.186751 272.651477 -19.182729 272.649821 -19.174859 272.656782 -19.169272
272.658933 -19.161883 272.678012 -19.159481 272.689173 -19.176982 272.689395 -19.183512
272.678006 -19.204016 272.671112 -19.206598 272.664854 -19.203523 272.662760 -19.211156
272.654435 -19.214434 272.652969 -19.222085 272.656724 -19.242136 272.650071 -19.265092
272.652868 -19.274296 272.660871 -19.249462 272.670041 -19.247807 272.675533 -19.254935
272.673291 -19.273917 272.668710 -19.279245 272.671460 -19.287043 272.667507 -19.293933
272.669261 -19.300601 272.663969 -19.307130 272.672626 -19.308954 272.675225 -19.316490
272.657188 -19.349105 272.657638 -19.367455 272.662447 -19.372035 272.662232 -19.378566
272.652479 -19.386871 272.645819 -19.387933 272.642279 -19.398277 272.629282 -19.402739
272.621487 -19.398197 272.611782 -19.405716 272.603367 -19.404667 272.586162 -19.422703
272.561792 -19.420008 272.555815 -19.413012 272.546500 -19.415611 272.537427 -19.424213
272.533081 -19.441402
Union (
Polygon 272.511081 -19.487278 272.515300 -19.486595 272.517029 -19.471442
272.511714 -19.458837 272.506430 -19.459001 272.496401 -19.474322 272.504821 -19.484924
Polygon 272.630446 -19.234210 272.637274 -19.248542 272.638942 -19.231476 272.630868 -19.226364
)
)"
or
echo "Intersection ICRS (
Polygon 272.536719 -19.461249 272.542612 -19.476380 272.537389 -19.491509 272.540192 -19.499823
272.535455 -19.505218 272.528024 -19.505216 272.523437 -19.500298 272.514082 -19.503376
272.502271 -19.500966 272.488647 -19.490390 272.481932 -19.490913 272.476737 -19.486589
272.487633 -19.455645 272.500386 -19.444996 272.503003 -19.437557 272.512303 -19.432436
272.514132 -19.423973 272.522103 -19.421523 272.524511 -19.413250 272.541021 -19.400024
272.566264 -19.397500 272.564202 -19.389111 272.569055 -19.383210 272.588186 -19.386539
272.593376 -19.381832 272.596327 -19.370541 272.624911 -19.358915 272.629256 -19.347842
272.642277 -19.341020 272.651322 -19.330424 272.653174 -19.325079 272.648903 -19.313708
272.639616 -19.311098 272.638128 -19.303083 272.632705 -19.299839 272.627971 -19.289408
272.628226 -19.276293 272.633750 -19.270590 272.615109 -19.241810 272.614704 -19.221196
272.618224 -19.215572 272.630809 -19.209945 272.633540 -19.198681 272.640711 -19.195292
272.643028 -19.186751 272.651477 -19.182729 272.649821 -19.174859 272.656782 -19.169272
272.658933 -19.161883 272.678012 -19.159481 272.689173 -19.176982 272.689395 -19.183512
272.678006 -19.204016 272.671112 -19.206598 272.664854 -19.203523 272.662760 -19.211156
272.654435 -19.214434 272.652969 -19.222085 272.656724 -19.242136 272.650071 -19.265092
272.652868 -19.274296 272.660871 -19.249462 272.670041 -19.247807 272.675533 -19.254935
272.673291 -19.273917 272.668710 -19.279245 272.671460 -19.287043 272.667507 -19.293933
272.669261 -19.300601 272.663969 -19.307130 272.672626 -19.308954 272.675225 -19.316490
272.657188 -19.349105 272.657638 -19.367455 272.662447 -19.372035 272.662232 -19.378566
272.652479 -19.386871 272.645819 -19.387933 272.642279 -19.398277 272.629282 -19.402739
272.621487 -19.398197 272.611782 -19.405716 272.603367 -19.404667 272.586162 -19.422703
272.561792 -19.420008 272.555815 -19.413012 272.546500 -19.415611 272.537427 -19.424213
272.533081 -19.441402
Not (Polygon 272.511081 -19.487278 272.515300 -19.486595 272.517029 -19.471442
272.511714 -19.458837 272.506430 -19.459001 272.496401 -19.474322 272.504821 -19.484924)
Not (Polygon 272.630446 -19.234210 272.637274 -19.248542 272.638942 -19.231476 272.630868 -19.226364)
)" | \
moc from stcs 16 - fits stcs_alma2.moc.fits --force-u64
moc view stcs_alma2.moc.fits stcs_alma2.moc.png auto 600
Gives:
Build a MOC from a (non STC-S) multi-region file
Remark: this has been done before the S-MOC from STC-S features, you can use both methods.
Build a raw MOC from a list of polygon.
The polygon_list.txt
file contains 1787 POLYGON lon1_deg lat1_deg lon2_deg lat2_deg lon3_deg lat3_deg lon4_deg lat4_deg
rows.
Excerpt of the polygon_list.txt
file:
> head -10 polygon_list.txt
POLYGON 132.27592361897194 -85.50776984199415 227.28213604169053 -85.52848858549962 317.3696636049649 -85.13473097310337 42.70728242909465 -85.11295896964907
POLYGON 60.13229923319004 -86.16765734057081 300.83194062732554 -86.17690658712614 339.2709854792048 -80.83619292300155 21.676880345899917 -80.83215524499103
POLYGON 95.08276649945338 -86.21643167152601 335.2202213021057 -86.150123609087 13.974112489662907 -80.8408533466873 56.47368697052322 -80.86811225215042
POLYGON 131.43710822387513 -86.39620351676153 8.178879432043509 -86.09619481394972 48.49769627242518 -80.91228518381683 91.58845924785103 -81.03726056953703
POLYGON 169.54242332201397 -86.41549363302556 41.96380368178154 -86.22055148573337 83.93923381023212 -81.07936822440465 127.76955702379145 -81.16012444797337
POLYGON 209.38441456079454 -86.4385049405928 76.79919106658016 -86.34575852902184 120.7627522443793 -81.26318262561986 165.44708425571173 -81.30186091232301
POLYGON 247.79227731086206 -86.41524470836133 113.93143603491714 -86.4038508557833 158.42057918850884 -81.32131955955516 203.32586412458323 -81.32529595069136
POLYGON 284.61617428938314 -86.30625319728074 151.35533186836295 -86.4968774518728 195.56600175472337 -81.34533854250965 240.3724573793694 -81.26497727688265
POLYGON 319.9366584543485 -86.20323016702716 191.02944591530553 -86.47600995359106 233.34166080086834 -81.22312388507225 277.40115124704073 -81.10906373841831
POLYGON 352.72112816815314 -86.11070694641083 229.39278681105083 -86.38518393742109 269.2801464003224 -81.03542860454485 312.382448010481 -80.92171074918758
...
time moc from multi 12 ../../resources/polygon_list.txt fits --force-u64 test.moc.fits
> time moc from multi 12 resources/polygon_list.txt fits --force-u64 test.moc.fits
real 0m5,891s
user 0m5,852s
sys 0m0,008s
> moc info test.moc.fits
MOC type: SPACE
MOC index type: u64
MOC depth: 12
MOC coverage: 99.697673817 %
In the example, all regions are polygons, but it is also possible to mix regions in a single file usong the syntax:
CONE lon_deg lat_deg radius_deg
ELLIPSE lon_deg lat_deg a_deg b_deg pa_deg
RING lon_deg lat_deg internal_radius_deg external_radius_deg
BOX lon_deg lat_deg a_deg b_deg pa_deg
ZONE lon_min_deg lat_min_deg lon_max_deg lat_max_deg
POLYGON lon1_deg lat1_deg lon2_deg lat2_deg ... lonn_deg latn_deg
POLYGON complement lon1_deg lat1_deg lon2_deg lat2_deg ... lonn_deg latn_deg
Example of Stream MOC
The input list must be sorted according to the HEALPix NESTED Z-order curve.
echo "qty=HPX
depth=6
29/210191438858682368-210261807602860032
29/1207809125065424896-1207879493809602560
29/1386193891555803136-1386264260299980800
29/1436648281131188224-1436718649875365888
29/1437703812293853184-1437774181038030848
29/1440025980851716096-1440096349595893760
29/1440237087084249088-1440307455828426752
29/2488801744075620352-2488872112819798016
" | moc convert - -f stream -t smoc fits mutlicone.moc.fits
View a MOC
moc view CDS-I-125A-catalog_MOC.fits toto.png allsky 800
moc view CDS-I-125A-catalog_MOC.fits toto.png auto 800
moc view CDS-I-125A-catalog_MOC.fits toto.png custom -l 180.0 -b -45.0 sfl 1600 800
Performances hint
Build MOC from positions
On a regular desktop, it takes 3.7s to build the MOC at order 7 of the 16,622,442 positions of the KIDS DR2 table:
time moc from pos 7 kids_dr2.csv -s , ascii --fold 80 > kids_dr2.moc.ascii
> 3.7s on 16_622_442 position in a file of 552 MB
Filter file using a MOC
On a classical HDD (~130 MB/s), the disk is the limiting factor when filtering a file. Tests performed on a 25 GB file containing 16_622_443 rows (KIDS DR2):
HDD | SSD | |
---|---|---|
wc -l |
3m21s = 127 MB/s | 19s = 1347 MB/s |
moc filter |
3m21s = 127 MB/s | 31s = 825 MB/s |
We get the same results with or without multithreading.
Now we select only 3 fields. We get a ~1 GB (961 MB) file. Since the results are the same for HDD and SSD, we deduce that the full file is in the disk cache:
HDD | SSD | |
---|---|---|
wc -l |
0.3s = 3200 MB/s | 0.3s = 3200 MB/s |
moc filter |
4s = 240 MB/s | 4s = 240 MB/s |
moc filter 4T |
2s = 480 MB/s | 2s = 480 MB/s |
Commands used:
time moc filter position SMOC_GLIMPSE_u32.fits kids_dr2.csv --has-header --lon RAJ2000 --lat DECJ2000 > /dev/null
time moc filter position SMOC_GLIMPSE_u32.fits kids_dr2.csv --has-header --lon RAJ2000 --lat DECJ2000 --n-threads 4 > /dev/null
(no rows in output)
To-do list
- Remove
structop
and replace byclap v3
- MOC from cells (simpler than MOC from pos)
- SMOC from ranges (simpler than MOC from pos)
- MOC from vcells with a simple constraint?
- Contact gnuastro ?
- Add filter on ST-MOCs
- Add ST-MOC 'intersection' and 'folds' in streaming mode (for a low memory footprint)
- Add an option
overlapping (default), fully inside, partially inside, center inside
for cone, polygon, ... - Support valued MOCs (<=> Multi-Order Maps)?
License
Like most projects in Rust, this project is licensed under either of
- Apache License, Version 2.0, (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
- MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)
at your option.
Contribution
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in this project by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.
Acknowledgements
This work has been supported by the ESCAPE project.
ESCAPE - The European Science Cluster of Astronomy & Particle Physics ESFRI Research Infrastructures -
has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement no. 824064.
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