6. Hydro: Projections
Load The Data
using Mera
info = getinfo(300, "/Volumes/FASTStorage/Simulations/Mera-Tests/mw_L10");
gas = gethydro(info, lmax=10);
[Mera]: 2025-06-30T11:34:59.304
Code: RAMSES
output [300] summary:
mtime: 2023-04-09T05:34:09
ctime: 2025-06-21T18:31:24.020
=======================================================
simulation time: 445.89 [Myr]
boxlen: 48.0 [kpc]
ncpu: 640
ndim: 3
-------------------------------------------------------
amr: true
level(s): 6 - 10 --> cellsize(s): 750.0 [pc] - 46.88 [pc]
-------------------------------------------------------
hydro: true
hydro-variables: 7 --> (:rho, :vx, :vy, :vz, :p, :var6, :var7)
hydro-descriptor: (:density, :velocity_x, :velocity_y, :velocity_z, :pressure, :scalar_00, :scalar_01)
γ: 1.6667
-------------------------------------------------------
gravity: true
gravity-variables: (:epot, :ax, :ay, :az)
-------------------------------------------------------
particles: true
- Nstars: 5.445150e+05
particle-variables: 7 --> (:vx, :vy, :vz, :mass, :family, :tag, :birth)
particle-descriptor: (:position_x, :position_y, :position_z, :velocity_x, :velocity_y, :velocity_z, :mass, :identity, :levelp, :family, :tag, :birth_time)
-------------------------------------------------------
rt: false
clumps: false
-------------------------------------------------------
namelist-file: ("&COOLING_PARAMS", "&SF_PARAMS", "&AMR_PARAMS", "&BOUNDARY_PARAMS", "&OUTPUT_PARAMS", "&POISSON_PARAMS", "&RUN_PARAMS", "&FEEDBACK_PARAMS", "&HYDRO_PARAMS", "&INIT_PARAMS", "&REFINE_PARAMS")
-------------------------------------------------------
timer-file: true
compilation-file: false
makefile: true
patchfile: true
=======================================================
[Mera]: Get hydro data: 2025-06-30T11:35:00.460
Key vars=(:level, :cx, :cy, :cz)
Using var(s)=(1, 2, 3, 4, 5, 6, 7) = (:rho, :vx, :vy, :vz, :p, :var6, :var7)
domain:
xmin::xmax: 0.0 :: 1.0 ==> 0.0 [kpc] :: 48.0 [kpc]
ymin::ymax: 0.0 :: 1.0 ==> 0.0 [kpc] :: 48.0 [kpc]
zmin::zmax: 0.0 :: 1.0 ==> 0.0 [kpc] :: 48.0 [kpc]
Reading data...
Progress: 100%|█████████████████████████████████████████| Time: 0:01:00
Memory used for data table :2.321086215786636 GB
-------------------------------------------------------
gas.data
Table with 28320979 rows, 11 columns:
Columns:
# colname type
────────────────────
1 level Int64
2 cx Int64
3 cy Int64
4 cz Int64
5 rho Float64
6 vx Float64
7 vy Float64
8 vz Float64
9 p Float64
10 var6 Float64
11 var7 Float64
Projection of Predefined Quantities
See the possible variables:
projection()
Predefined vars for projections:
------------------------------------------------
=====================[gas]:=====================
-all the non derived hydro vars-
:cpu, :level, :rho, :cx, :cy, :cz, :vx, :vy, :vz, :p, var6,...
further possibilities: :rho, :density, :ρ
-derived hydro vars-
:x, :y, :z
:sd or :Σ or :surfacedensity
:mass, :cellsize, :freefall_time
:cs, :mach, :machx, :machy, :machz, :jeanslength, :jeansnumber
:t, :Temp, :Temperature with p/rho
==================[particles]:==================
all the non derived vars:
:cpu, :level, :id, :family, :tag
:x, :y, :z, :vx, :vy, :vz, :mass, :birth, :metal....
-derived particle vars-
:age
==============[gas or particles]:===============
:v, :ekin
squared => :vx2, :vy2, :vz2
velocity dispersion => σx, σy, σz, σ
related to a given center:
---------------------------
:vr_cylinder, vr_sphere (radial components)
:vϕ_cylinder, :vθ
squared => :vr_cylinder2, :vϕ_cylinder2
velocity dispersion => σr_cylinder, σϕ_cylinder
2d maps (not projected) => :r_cylinder, :ϕ
------------------------------------------------
Projection of a Single Quantity in Different Directions (z,y,x)
Here we project the surface density in the z-direction of the data within a particular vertical range (domain=[0:1]
) onto a grid corresponding to the maximum loaded level. Pass any object of HydroDataType
(here: "gas") to the projection
-function and select a variable by a Symbol (here: :sd = :surfacedensity = :Σ in Msol/pc^3)
proj_z = projection(gas, :sd, unit=:Msol_pc2, zrange=[0.45,0.55])
proj_z = projection(gas, :sd, :Msol_pc2, zrange=[0.45,0.55], verbose=false) # The keyword "unit" (singular) can be omit if the following order is preserved: data-object, quantity, unit.
proj_x = projection(gas, :sd, :Msol_pc2, direction = :x, zrange=[0.45,0.55], verbose=false); # Project the surface density in x-direction
[Mera]: 2025-06-30T11:36:07.788
domain:
xmin::xmax: 0.0 :: 1.0 ==> 0.0 [kpc] :: 48.0 [kpc]
ymin::ymax: 0.0 :: 1.0 ==> 0.0 [kpc] :: 48.0 [kpc]
zmin::zmax: 0.45 :: 0.55 ==> 21.6 [kpc] :: 26.4 [kpc]
Selected var(s)=(:sd,)
Weighting = :mass
Effective resolution: 1024^2
Map size: 1024 x 1024
Pixel size: 46.875 [pc]
Simulation min.: 46.875 [pc]
Select a Range Related to a Center
See also in the documentation for: load data by selection
cv = (gas.boxlen / 2.) * gas.scale.kpc # provide the box-center in kpc
proj_z = projection(gas, :sd, :Msol_pc2,
xrange=[-10.,10.], yrange=[-10.,10.], zrange=[-2.,2.],
center=[cv,cv,cv], range_unit=:kpc);
[Mera]: 2025-06-30T11:36:14.260
center: [0.5, 0.5, 0.5] ==> [24.0 [kpc] :: 24.0 [kpc] :: 24.0 [kpc]]
domain:
xmin::xmax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
ymin::ymax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
zmin::zmax: 0.4583333 :: 0.5416667 ==> 22.0 [kpc] :: 26.0 [kpc]
Selected var(s)=(:sd,)
Weighting = :mass
Effective resolution: 1024^2
Map size: 428 x 428
Pixel size: 46.875 [pc]
Simulation min.: 46.875 [pc]
Use the short notation for the box center :bc or :boxcenter for all dimensions (x,y,z):
proj_z = projection(gas, :sd, :Msol_pc2,
xrange=[-10.,10.], yrange=[-10.,10.], zrange=[-2.,2.],
center=[:boxcenter], range_unit=:kpc);
[Mera]: 2025-06-30T11:36:16.030
center: [0.5, 0.5, 0.5] ==> [24.0 [kpc] :: 24.0 [kpc] :: 24.0 [kpc]]
domain:
xmin::xmax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
ymin::ymax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
zmin::zmax: 0.4583333 :: 0.5416667 ==> 22.0 [kpc] :: 26.0 [kpc]
Selected var(s)=(:sd,)
Weighting = :mass
Effective resolution: 1024^2
Map size: 428 x 428
Pixel size: 46.875 [pc]
Simulation min.: 46.875 [pc]
proj_z = projection(gas, :sd, :Msol_pc2,
xrange=[-10.,10.], yrange=[-10.,10.], zrange=[-2.,2.],
center=[:bc], range_unit=:kpc);
[Mera]: 2025-06-30T11:36:17.768
center: [0.5, 0.5, 0.5] ==> [24.0 [kpc] :: 24.0 [kpc] :: 24.0 [kpc]]
domain:
xmin::xmax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
ymin::ymax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
zmin::zmax: 0.4583333 :: 0.5416667 ==> 22.0 [kpc] :: 26.0 [kpc]
Selected var(s)=(:sd,)
Weighting = :mass
Effective resolution: 1024^2
Map size: 428 x 428
Pixel size: 46.875 [pc]
Simulation min.: 46.875 [pc]
Use the box center notation for individual dimensions, here x,z:
proj_z = projection(gas, :sd, :Msol_pc2,
xrange=[-10.,10.], yrange=[-10.,10.], zrange=[-2.,2.],
center=[:bc, 24., :bc], range_unit=:kpc);
[Mera]: 2025-06-30T11:36:20.157
center: [0.5, 0.5, 0.5] ==> [24.0 [kpc] :: 24.0 [kpc] :: 24.0 [kpc]]
domain:
xmin::xmax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
ymin::ymax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
zmin::zmax: 0.4583333 :: 0.5416667 ==> 22.0 [kpc] :: 26.0 [kpc]
Selected var(s)=(:sd,)
Weighting = :mass
Effective resolution: 1024^2
Map size: 428 x 428
Pixel size: 46.875 [pc]
Simulation min.: 46.875 [pc]
Get Multiple Quantities
Get several quantities with one function call by passing an array containing the selected variables (at least one entry). The keyword name for the units is now in plural.
proj1_x = projection(gas, [:sd], units=[:Msol_pc2],
direction = :x,
xrange=[-10.,10.],
yrange=[-10.,10.],
zrange=[-2.,2.],
center=[24.,24.,24.],
range_unit=:kpc);
[Mera]: 2025-06-30T11:36:21.883
center: [0.5, 0.5, 0.5] ==> [24.0 [kpc] :: 24.0 [kpc] :: 24.0 [kpc]]
domain:
xmin::xmax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
ymin::ymax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
zmin::zmax: 0.4583333 :: 0.5416667 ==> 22.0 [kpc] :: 26.0 [kpc]
Selected var(s)=(:sd,)
Weighting = :mass
Effective resolution: 1024^2
Map size: 428 x 86
Pixel size: 46.875 [pc]
Simulation min.: 46.875 [pc]
Pass an array containing several quantities to process and their corresponding units:
proj1_z = projection(gas, [:sd, :vx], units=[:Msol_pc2, :km_s],
direction = :x,
xrange=[-10.,10.],
yrange=[-10.,10.],
zrange=[-2.,2.],
center=[24.,24.,24.],
range_unit=:kpc);
[Mera]: 2025-06-30T11:36:24.320
center: [0.5, 0.5, 0.5] ==> [24.0 [kpc] :: 24.0 [kpc] :: 24.0 [kpc]]
domain:
xmin::xmax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
ymin::ymax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
zmin::zmax: 0.4583333 :: 0.5416667 ==> 22.0 [kpc] :: 26.0 [kpc]
Selected var(s)=(:sd, :vx)
Weighting = :mass
Effective resolution: 1024^2
Map size: 428 x 86
Pixel size: 46.875 [pc]
Simulation min.: 46.875 [pc]
The function can be called without any keywords by preserving the following order: dataobject, variables, units
proj1_z = projection(gas, [:sd , :vx], [:Msol_pc2, :km_s],
direction = :x,
xrange=[-10.,10.],
yrange=[-10.,10.],
zrange=[-2.,2.],
center=[24.,24.,24.],
range_unit=:kpc);
[Mera]: 2025-06-30T11:36:26.941
center: [0.5, 0.5, 0.5] ==> [24.0 [kpc] :: 24.0 [kpc] :: 24.0 [kpc]]
domain:
xmin::xmax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
ymin::ymax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
zmin::zmax: 0.4583333 :: 0.5416667 ==> 22.0 [kpc] :: 26.0 [kpc]
Selected var(s)=(:sd, :vx)
Weighting = :mass
Effective resolution: 1024^2
Map size: 428 x 86
Pixel size: 46.875 [pc]
Simulation min.: 46.875 [pc]
If all selected variables should be of the same unit use the following arguments: dataobject, array of quantities, unit (no array needed)
projvel_z = projection(gas, [:vx, :vy, :vz], :km_s,
xrange=[-10.,10.],
yrange=[-10.,10.],
zrange=[-2.,2.],
center=[24.,24.,24.],
range_unit=:kpc);
[Mera]: 2025-06-30T11:36:29.503
center: [0.5, 0.5, 0.5] ==> [24.0 [kpc] :: 24.0 [kpc] :: 24.0 [kpc]]
domain:
xmin::xmax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
ymin::ymax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
zmin::zmax: 0.4583333 :: 0.5416667 ==> 22.0 [kpc] :: 26.0 [kpc]
Selected var(s)=(:vx, :vy, :vz, :sd)
Weighting = :mass
Effective resolution: 1024^2
Map size: 428 x 428
Pixel size: 46.875 [pc]
Simulation min.: 46.875 [pc]
Function Output
List the fields of the assigned object:
propertynames(proj1_z)
(:maps, :maps_unit, :maps_lmax, :maps_weight, :maps_mode, :lmax_projected, :lmin, :lmax, :ranges, :extent, :cextent, :ratio, :effres, :pixsize, :boxlen, :smallr, :smallc, :scale, :info)
The projected 2D maps are stored in a dictionary:
proj1_z.maps
DataStructures.SortedDict{Any, Any, Base.Order.ForwardOrdering} with 2 entries:
:sd => [0.140277 0.140277 … 0.101278 0.101278; 0.140277 0.140277 … 0.101278 0…
:vx => [77.1704 77.1704 … 129.681 129.681; 77.1704 77.1704 … 129.681 129.681;…
The maps can be accessed by giving the name of the dictionary:
proj1_z.maps[:sd]
428×86 Matrix{Float64}:
0.140277 0.140277 0.129794 … 0.343855 0.101278 0.101278
0.140277 0.140277 0.129794 0.343855 0.101278 0.101278
0.137395 0.137395 0.136911 0.281761 0.0723861 0.0723861
0.137395 0.137395 0.136911 0.281761 0.0723861 0.0723861
0.111983 0.111983 0.136992 0.202348 0.051991 0.051991
0.111983 0.111983 0.136992 … 0.202348 0.051991 0.051991
0.0716589 0.0716589 0.122821 0.124959 0.0443155 0.0443155
0.0716589 0.0716589 0.122821 0.124959 0.0443155 0.0443155
0.0542019 0.0542019 0.0880136 0.0762129 0.0425661 0.0425661
0.0542019 0.0542019 0.0880136 0.0762129 0.0425661 0.0425661
0.0525677 0.0525677 0.0667757 … 0.0554828 0.0435821 0.0435821
0.0525677 0.0525677 0.0667757 0.0554828 0.0435821 0.0435821
0.0550184 0.0550184 0.0604652 0.0506024 0.0440759 0.0440759
⋮ ⋱ ⋮
0.34605 0.34605 0.436999 0.640066 0.634126 0.634126
0.34605 0.34605 0.436999 0.640066 0.634126 0.634126
0.286503 0.286503 0.39705 0.658142 0.639295 0.639295
0.286503 0.286503 0.39705 0.658142 0.639295 0.639295
0.199275 0.199275 0.302888 … 0.667026 0.640109 0.640109
0.199275 0.199275 0.302888 0.667026 0.640109 0.640109
0.128232 0.128232 0.211891 0.656377 0.612723 0.612723
0.128232 0.128232 0.211891 0.656377 0.612723 0.612723
0.0817203 0.0817203 0.132222 0.631934 0.558517 0.558517
0.0817203 0.0817203 0.132222 … 0.631934 0.558517 0.558517
0.056342 0.056342 0.0796691 0.567965 0.484554 0.484554
0.056342 0.056342 0.0796691 0.567965 0.484554 0.484554
The units of the maps are stored in:
proj1_z.maps_unit
DataStructures.SortedDict{Any, Any, Base.Order.ForwardOrdering} with 2 entries:
:sd => :Msol_pc2
:vx => :km_s
Projections on a different grid size (see subject below):
proj1_z.maps_lmax
DataStructures.SortedDict{Any, Any, Base.Order.ForwardOrdering}()
The following fields are helpful for further calculations or plots.
proj1_z.ranges # normalized to the domain=`[0:1]`
6-element Vector{Float64}:
0.29166666666647767
0.7083333333328743
0.29166666666647767
0.7083333333328743
0.4583333333330363
0.5416666666663156
proj1_z.extent # ranges in code units
4-element Vector{Float64}:
13.96875
34.03125
21.984375
26.015625
proj1_z.cextent # ranges in code units relative to a given center (by default: box center)
4-element Vector{Float64}:
-10.031250000015556
10.031249999984444
-2.0156250000155556
2.0156249999844444
proj1_z.ratio # the ratio between the two ranges
4.976744186046512
Plot Maps with Python
proj_z = projection(gas, :sd, :Msol_pc2,
zrange=[-2.,2.], center=[:boxcenter], range_unit=:kpc,
verbose=false)
proj_x = projection(gas, :sd, :Msol_pc2,
zrange=[-2.,2.], center=[:boxcenter], range_unit=:kpc,
verbose=false,
direction = :x);
Python functions can be directly called in Julia, which gives the opportunity, e.g. to use the Matplotlib library.
using PyPlot
using ColorSchemes
cmap3 = ColorMap(ColorSchemes.Blues.colors)
cmap = ColorMap(ColorSchemes.lajolla.colors) # See http://www.fabiocrameri.ch/colourmaps.php
cmap2 = ColorMap(reverse(ColorSchemes.romaO.colors))
figure(figsize=(10, 3.5))
subplot(1,2,1)
im = imshow( log10.( permutedims(proj_z.maps[:sd])), cmap=cmap, aspect=proj_z.ratio, origin="lower", extent=proj_z.cextent, vmin=0, vmax=3)
xlabel("x [kpc]")
ylabel("y [kpc]")
cb = colorbar(im, label=L"\mathrm{log10(\Sigma) \ [M_{\odot} pc^{-2}]}")
subplot(1,2,2)
im = imshow( log10.( permutedims(proj_x.maps[:sd])), cmap=cmap, origin="lower", extent=proj_x.cextent, vmin=0, vmax=3)
xlabel("x [kpc]")
ylabel("z [kpc]")
cb = colorbar(im, label=L"\mathrm{log10(\Sigma) \ [M_{\odot} pc^{-2}]}",orientation="horizontal", pad=0.2);
Project a specific spatial range and plot the axes of the map relative to the box-center (given by keyword: data_center):
proj_z = projection(gas, :sd, :Msol_pc2,
xrange=[-10.,0.], yrange=[-10.,0.], zrange=[-2.,2.], center=[:boxcenter], range_unit=:kpc,
verbose=false,
data_center=[24.,24.,24.], data_center_unit=:kpc)
proj_x = projection(gas, :sd, :Msol_pc2,
xrange=[-10.,0.], yrange=[-10.,0.], zrange=[-2.,2.], center=[:boxcenter], range_unit=:kpc,
verbose=false,
data_center=[24.,24.,24.], data_center_unit=:kpc,
direction = :x);
figure(figsize=(10, 3.5))
subplot(1,2,1)
im = imshow( log10.( permutedims(proj_z.maps[:sd])), cmap=cmap, aspect=proj_z.ratio, origin="lower", extent=proj_z.cextent, vmin=0, vmax=3)
xlabel("x [kpc]")
ylabel("y [kpc]")
cb = colorbar(im, label=L"\mathrm{log10(\Sigma) \ [M_{\odot} pc^{-2}]}")
subplot(1,2,2)
im = imshow( log10.( permutedims(proj_x.maps[:sd])), cmap=cmap, origin="lower", extent=proj_x.cextent, vmin=0, vmax=3)
xlabel("x [kpc]")
ylabel("z [kpc]")
cb = colorbar(im, label=L"\mathrm{log10(\Sigma) \ [M_{\odot} pc^{-2}]}",orientation="horizontal", pad=0.2);
Plot the axes of the map relative to the map-center (given by keyword: data_center):
proj_z = projection(gas, :sd, :Msol_pc2,
xrange=[-10.,0.], yrange=[-10.,0.], zrange=[-2.,2.], center=[:boxcenter], range_unit=:kpc,
verbose=false,
data_center=[19.,19.,24.], data_center_unit=:kpc)
proj_x = projection(gas, :sd, :Msol_pc2,
xrange=[-10.,0.], yrange=[-10.,0.], zrange=[-2.,2.], center=[:boxcenter], range_unit=:kpc,
verbose=false,
data_center=[19.,19.,24.], data_center_unit=:kpc,
direction = :x);
figure(figsize=(10, 3.5))
subplot(1,2,1)
im = imshow( log10.( permutedims(proj_z.maps[:sd])), cmap=cmap, aspect=proj_z.ratio, origin="lower", extent=proj_z.cextent, vmin=0, vmax=3)
xlabel("x [kpc]")
ylabel("y [kpc]")
cb = colorbar(im, label=L"\mathrm{log10(\Sigma) \ [M_{\odot} pc^{-2}]}")
subplot(1,2,2)
im = imshow( log10.( permutedims(proj_x.maps[:sd])), cmap=cmap, origin="lower", extent=proj_x.cextent, vmin=0, vmax=3)
xlabel("x [kpc]")
ylabel("z [kpc]")
cb = colorbar(im, label=L"\mathrm{log10(\Sigma) \ [M_{\odot} pc^{-2}]}",orientation="horizontal", pad=0.2);
Projections of Derived Kinematic Data
Use quantities in cartesian coordinates:
Project the following derived data (mass weighted by default): The absolute value of the velocity :v, the velocity dispersion :σ in different directions. The Julia language supports Unicode characters and can be inserted by e.g. "\sigma + tab-key" leading to: σ.
proj_z = projection(gas, [:v, :σ, :σx, :σy, :σz], :km_s,
xrange=[-10.,10.], yrange=[-10.,10.], zrange=[-2.,2.],
center=[24.,24.,24.], range_unit=:kpc);
[Mera]: 2025-06-30T11:36:44.533
center: [0.5, 0.5, 0.5] ==> [24.0 [kpc] :: 24.0 [kpc] :: 24.0 [kpc]]
domain:
xmin::xmax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
ymin::ymax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
zmin::zmax: 0.4583333 :: 0.5416667 ==> 22.0 [kpc] :: 26.0 [kpc]
Selected var(s)=(:v, :σ, :σx, :σy, :σz, :vx, :vx2, :vy, :vy2, :vz, :vz2, :v2, :sd)
Weighting = :mass
Effective resolution: 1024^2
Map size: 428 x 428
Pixel size: 46.875 [pc]
Simulation min.: 46.875 [pc]
For the velocity dispersion additional maps are created to created the mass-weighted quantity: E. g.: σx = sqrt( <vx^2> - < vx >^2 )
proj_z.maps
DataStructures.SortedDict{Any, Any, Base.Order.ForwardOrdering} with 13 entries:
:sd => [6.72622e-5 6.72622e-5 … 0.000160722 0.000160722; 6.72622e-5 6.72622e…
:v => [199.636 199.636 … 206.345 206.345; 199.636 199.636 … 206.345 206.345…
:v2 => [9.49526 9.49526 … 9.94811 9.94811; 9.49526 9.49526 … 9.94811 9.94811…
:vx => [2.19766 2.19766 … -2.43625 -2.43625; 2.19766 2.19766 … -2.43625 -2.4…
:vx2 => [4.96452 4.96452 … 6.02999 6.02999; 4.96452 4.96452 … 6.02999 6.02999…
:vy => [-2.08913 -2.08913 … -1.95508 -1.95508; -2.08913 -2.08913 … -1.95508 …
:vy2 => [4.50785 4.50785 … 3.87093 3.87093; 4.50785 4.50785 … 3.87093 3.87093…
:vz => [-0.00773906 -0.00773906 … 0.139107 0.139107; -0.00773906 -0.00773906…
:vz2 => [0.0228872 0.0228872 … 0.0472034 0.0472034; 0.0228872 0.0228872 … 0.0…
:σ => [31.244 31.244 … 14.1307 14.1307; 31.244 31.244 … 14.1307 14.1307; … …
:σx => [24.078 24.078 … 20.1775 20.1775; 24.078 24.078 … 20.1775 20.1775; … …
:σy => [24.8311 24.8311 … 14.4541 14.4541; 24.8311 24.8311 … 14.4541 14.4541…
:σz => [9.90758 9.90758 … 10.9439 10.9439; 9.90758 9.90758 … 10.9439 10.9439…
proj_z.maps_unit
DataStructures.SortedDict{Any, Any, Base.Order.ForwardOrdering} with 13 entries:
:sd => :standard
:v => :km_s
:v2 => :standard
:vx => :standard
:vx2 => :standard
:vy => :standard
:vy2 => :standard
:vz => :standard
:vz2 => :standard
:σ => :km_s
:σx => :km_s
:σy => :km_s
:σz => :km_s
usedmemory(proj_z);
Memory used: 19.595 MB
figure(figsize=(10, 5.5))
subplot(2, 3, 1)
title("v [km/s]")
imshow( (permutedims(proj_z.maps[:v]) ), cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar()
subplot(2, 3, 2)
title("σ [km/s]")
imshow( (permutedims(proj_z.maps[:σ]) ), cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar()
subplot(2, 3, 4)
title("σx [km/s]")
imshow( (permutedims(proj_z.maps[:σx]) ), cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar()
subplot(2, 3, 5)
title("σy [km/s]")
imshow( permutedims(proj_z.maps[:σy]) , cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar()
subplot(2, 3, 6)
title("σz [km/s]")
imshow( permutedims(proj_z.maps[:σz]) , cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar();
Use quantities in cylindrical coordinates:
Face-on disc (z-direction)
For the cylindrical or spherical components of a quantity, the center of the coordinate system is used (keywords: datacenter = center default) and can be given with the keyword "datacenter" and its units with "datacenterunit". Additionally, the quantities that are based on cartesian coordinates can be given.
proj_z = projection(gas, [:v, :σ, :σx, :σy, :ϕ, :r_cylinder, :vr_cylinder, :vϕ_cylinder, :σr_cylinder, :σϕ_cylinder],
units=[:km_s,:km_s,:km_s, :km_s, :standard, :kpc, :km_s, :km_s, :km_s, :km_s],
xrange=[-10.,10.], yrange=[-10.,10.], zrange=[-2.,2.],
center=[:boxcenter], range_unit=:kpc,
data_center=[24.,24.,24.],
data_center_unit=:kpc);
[Mera]: 2025-06-30T11:36:47.734
center: [0.5, 0.5, 0.5] ==> [24.0 [kpc] :: 24.0 [kpc] :: 24.0 [kpc]]
domain:
xmin::xmax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
ymin::ymax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
zmin::zmax: 0.4583333 :: 0.5416667 ==> 22.0 [kpc] :: 26.0 [kpc]
Selected var(s)=(:v, :σ, :σx, :σy, :ϕ, :r_cylinder, :vr_cylinder, :vϕ_cylinder, :σr_cylinder, :σϕ_cylinder, :vx, :vx2, :vy, :vy2, :v2, :vr_cylinder2, :vϕ_cylinder2, :sd)
Weighting = :mass
Effective resolution: 1024^2
Map size: 428 x 428
Pixel size: 46.875 [pc]
Simulation min.: 46.875 [pc]
proj_z.maps
DataStructures.SortedDict{Any, Any, Base.Order.ForwardOrdering} with 18 entries:
:r_cylinder => [14.0758 14.0427 … 14.1201 14.1534; 14.0427 14.0096 … 14.087…
:sd => [6.72622e-5 6.72622e-5 … 0.000160722 0.000160722; 6.72622e-5…
:v => [199.636 199.636 … 206.345 206.345; 199.636 199.636 … 206.34…
:v2 => [9.49526 9.49526 … 9.94811 9.94811; 9.49526 9.49526 … 9.9481…
:vr_cylinder => [-5.03238 -5.03238 … 21.3971 21.3971; -5.03238 -5.03238 … 21…
:vr_cylinder2 => [0.0148288 0.0148288 … 0.163113 0.163113; 0.0148288 0.014828…
:vx => [2.19766 2.19766 … -2.43625 -2.43625; 2.19766 2.19766 … -2.4…
:vx2 => [4.96452 4.96452 … 6.02999 6.02999; 4.96452 4.96452 … 6.0299…
:vy => [-2.08913 -2.08913 … -1.95508 -1.95508; -2.08913 -2.08913 … …
:vy2 => [4.50785 4.50785 … 3.87093 3.87093; 4.50785 4.50785 … 3.8709…
:vϕ_cylinder => [198.773 198.773 … 203.718 203.718; 198.773 198.773 … 203.71…
:vϕ_cylinder2 => [9.45754 9.45754 … 9.7378 9.7378; 9.45754 9.45754 … 9.7378 9…
:σ => [31.244 31.244 … 14.1307 14.1307; 31.244 31.244 … 14.1307 14…
:σr_cylinder => [6.20005 6.20005 … 15.6067 15.6067; 6.20005 6.20005 … 15.606…
:σx => [24.078 24.078 … 20.1775 20.1775; 24.078 24.078 … 20.1775 20…
:σy => [24.8311 24.8311 … 14.4541 14.4541; 24.8311 24.8311 … 14.454…
:σϕ_cylinder => [34.0278 34.0278 … 19.3093 19.3093; 34.0278 34.0278 … 19.309…
:ϕ => [3.92699 3.92463 … 2.35306 2.35073; 3.92935 3.92699 … 2.3507…
proj_z.maps_unit
DataStructures.SortedDict{Any, Any, Base.Order.ForwardOrdering} with 18 entries:
:r_cylinder => :kpc
:sd => :standard
:v => :km_s
:v2 => :standard
:vr_cylinder => :km_s
:vr_cylinder2 => :standard
:vx => :standard
:vx2 => :standard
:vy => :standard
:vy2 => :standard
:vϕ_cylinder => :km_s
:vϕ_cylinder2 => :standard
:σ => :km_s
:σr_cylinder => :km_s
:σx => :km_s
:σy => :km_s
:σϕ_cylinder => :km_s
:ϕ => :radian
figure(figsize=(10, 8.5))
subplot(3, 3, 1)
title("Radius [kpc]")
imshow( permutedims(proj_z.maps[:r_cylinder] ), cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar()
subplot(3, 3, 2)
title("vr [km/s]")
imshow( permutedims(proj_z.maps[:vr_cylinder] ), cmap="seismic", origin="lower", extent=proj_z.cextent, vmin=-20.,vmax=20.)
colorbar()
subplot(3, 3, 3)
title("vϕ [km/s]")
imshow( permutedims(proj_z.maps[:vϕ_cylinder] ), cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar()
subplot(3, 3, 4)
title("ϕ-angle ")
imshow( permutedims(proj_z.maps[:ϕ]) , cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar()
subplot(3, 3, 5)
title("σr [km/s]")
imshow( permutedims(proj_z.maps[:σr_cylinder] ), cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar()
subplot(3, 3, 6)
title("σϕ [km/s]")
imshow( permutedims(proj_z.maps[:σϕ_cylinder] ), cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar()
subplot(3, 3, 7)
title("σ [km/s]")
imshow( permutedims(proj_z.maps[:σ]) , cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar()
subplot(3, 3, 8)
title("σx [km/s]")
imshow( permutedims(proj_z.maps[:σx] ), cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar()
subplot(3, 3, 9)
title("σy [km/s]")
imshow( permutedims(proj_z.maps[:σy] ), cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar();
Project on a Coarser Grid
lmax
The default is the projection on the maximum loaded grid level (always provided in the output). Choose a smaller/larger level with the keyword lmax
(independend on the maximum level of the simulation) to project on a coarser/finer grid. By default, the data is assumed to be in the center of the simulation box.
proj_z = projection(gas, [:v, :σ, :σx, :σy, :σz, :vr_cylinder, :vϕ_cylinder, :σr_cylinder, :σϕ_cylinder],
:km_s,
xrange=[-10.,10.], yrange=[-10.,10.], zrange=[-2.,2.],
center=[:boxcenter], range_unit=:kpc,
lmax=6);
[Mera]: 2025-06-30T11:37:04.163
center: [0.5, 0.5, 0.5] ==> [24.0 [kpc] :: 24.0 [kpc] :: 24.0 [kpc]]
domain:
xmin::xmax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
ymin::ymax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
zmin::zmax: 0.4583333 :: 0.5416667 ==> 22.0 [kpc] :: 26.0 [kpc]
Selected var(s)=(:v, :σ, :σx, :σy, :σz, :vr_cylinder, :vϕ_cylinder, :σr_cylinder, :σϕ_cylinder, :vx, :vx2, :vy, :vy2, :vz, :vz2, :v2, :vr_cylinder2, :vϕ_cylinder2, :sd)
Weighting = :mass
Effective resolution: 64^2
Map size: 28 x 28
Pixel size: 750.0 [pc]
Simulation min.: 46.875 [pc]
# this corresponds to an effective resolution of:
proj_z.effres
64
figure(figsize=(10, 8.5))
subplot(3, 3, 1)
title("v [km/s]")
imshow( permutedims(proj_z.maps[:v] ), cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar()
subplot(3, 3, 2)
title("vr [km/s]")
imshow( permutedims(proj_z.maps[:vr_cylinder] ), cmap="seismic", origin="lower", extent=proj_z.cextent, vmin=-20.,vmax=20.)
colorbar()
subplot(3, 3, 3)
title("vϕ [km/s]")
imshow( permutedims(proj_z.maps[:vϕ_cylinder] ), cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar()
subplot(3, 3, 4)
title("σz [km/s]")
imshow( permutedims(proj_z.maps[:σz] ), cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar()
subplot(3, 3, 5)
title("σr [km/s]")
imshow( permutedims(proj_z.maps[:σr_cylinder] ), cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar()
subplot(3, 3, 6)
title("σϕ [km/s]")
imshow( permutedims(proj_z.maps[:σϕ_cylinder] ), cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar()
subplot(3, 3, 7)
title("σ [km/s]")
imshow( permutedims(proj_z.maps[:σ]) , cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar()
subplot(3, 3, 8)
title("σx [km/s]")
imshow( permutedims(proj_z.maps[:σx] ), cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar()
subplot(3, 3, 9)
title("σy [km/s]")
imshow( permutedims(proj_z.maps[:σy] ), cmap=cmap2, origin="lower", extent=proj_z.cextent)
colorbar();
res
Choose the effective resolution (related to the full box) of the projected grid:
proj_z = projection(gas, [:v, :σ, :σx, :σy, :σz, :vr_cylinder, :vϕ_cylinder, :σr_cylinder, :σϕ_cylinder],
:km_s,
xrange=[-10.,10.], yrange=[-10.,10.], zrange=[-2.,2.],
center=[:boxcenter], range_unit=:kpc,
res=100);
[Mera]: 2025-06-30T11:37:20.496
center: [0.5, 0.5, 0.5] ==> [24.0 [kpc] :: 24.0 [kpc] :: 24.0 [kpc]]
domain:
xmin::xmax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
ymin::ymax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
zmin::zmax: 0.4583333 :: 0.5416667 ==> 22.0 [kpc] :: 26.0 [kpc]
Selected var(s)=(:v, :σ, :σx, :σy, :σz, :vr_cylinder, :vϕ_cylinder, :σr_cylinder, :σϕ_cylinder, :vx, :vx2, :vy, :vy2, :vz, :vz2, :v2, :vr_cylinder2, :vϕ_cylinder2, :sd)
Weighting = :mass
Effective resolution: 100^2
Map size: 42 x 42
Pixel size: 480.0 [pc]
Simulation min.: 46.875 [pc]
pxsize
Choose the pixel size in a physical unit, e.g. pixel-size=100 pc. The data is projected to a grid with a pixel-size that is closest to the given number, but not larger:
proj_z = projection(gas, [:v, :σ, :σx, :σy, :σz, :vr_cylinder, :vϕ_cylinder, :σr_cylinder, :σϕ_cylinder],
:km_s,
xrange=[-10.,10.], yrange=[-10.,10.], zrange=[-2.,2.],
center=[:boxcenter], range_unit=:kpc,
pxsize=[100., :pc]);
[Mera]: 2025-06-30T11:37:35.957
center: [0.5, 0.5, 0.5] ==> [24.0 [kpc] :: 24.0 [kpc] :: 24.0 [kpc]]
domain:
xmin::xmax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
ymin::ymax: 0.2916667 :: 0.7083333 ==> 14.0 [kpc] :: 34.0 [kpc]
zmin::zmax: 0.4583333 :: 0.5416667 ==> 22.0 [kpc] :: 26.0 [kpc]
Selected var(s)=(:v, :σ, :σx, :σy, :σz, :vr_cylinder, :vϕ_cylinder, :σr_cylinder, :σϕ_cylinder, :vx, :vx2, :vy, :vy2, :vz, :vz2, :v2, :vr_cylinder2, :vϕ_cylinder2, :sd)
Weighting = :mass
Effective resolution: 481^2
Map size: 201 x 201
Pixel size: 99.792 [pc]
Simulation min.: 46.875 [pc]
Projection of Thermal Data
The the sound speed is calculated from the loaded adiabatic index (from the hydro files):
proj_z = projection(gas, :cs, :km_s, zrange=[0.45,0.55], xrange=[0.4, 0.6], yrange=[0.4, 0.6])
proj_x = projection(gas, :cs, :km_s, zrange=[0.45,0.55], xrange=[0.4, 0.6], yrange=[0.4, 0.6], direction=:x);
[Mera]: 2025-06-30T11:37:51.385
domain:
xmin::xmax: 0.4 :: 0.6 ==> 19.2 [kpc] :: 28.8 [kpc]
ymin::ymax: 0.4 :: 0.6 ==> 19.2 [kpc] :: 28.8 [kpc]
zmin::zmax: 0.45 :: 0.55 ==> 21.6 [kpc] :: 26.4 [kpc]
Selected var(s)=(:cs, :sd)
Weighting = :mass
Effective resolution: 1024^2
Map size: 206 x 206
Pixel size: 46.875 [pc]
Simulation min.: 46.875 [pc]
[Mera]: 2025-06-30T11:37:53.419
domain:
xmin::xmax: 0.4 :: 0.6 ==> 19.2 [kpc] :: 28.8 [kpc]
ymin::ymax: 0.4 :: 0.6 ==> 19.2 [kpc] :: 28.8 [kpc]
zmin::zmax: 0.45 :: 0.55 ==> 21.6 [kpc] :: 26.4 [kpc]
Selected var(s)=(:cs, :sd)
Weighting = :mass
Effective resolution: 1024^2
Map size: 206 x 104
Pixel size: 46.875 [pc]
Simulation min.: 46.875 [pc]
figure(figsize=(10, 3.5))
subplot(1, 2, 1)
im = imshow( log10.(permutedims(proj_z.maps[:cs]) ), cmap=cmap2, origin="lower", extent=proj_z.cextent)
xlabel("x [kpc]")
ylabel("z [kpc]")
cb = colorbar(im, label=L"\mathrm{log10(c_s) \ [km \ s^{-1}]}")
subplot(1, 2, 2)
im = imshow( log10.(permutedims(proj_x.maps[:cs]) ), cmap=cmap2, origin="lower", extent=proj_x.cextent)
xlabel("x [kpc]")
ylabel("z [kpc]")
cb = colorbar(im, label=L"\mathrm{log10(c_s) \ [km \ s^{-1}]}",orientation="horizontal", pad=0.2);
Change the adiabatic index in the field gas.info.gamma
to use a different value in the projection calculation.
Projection of Masked Data
Mask higher densities by creating a Bool-array where the lower density cells correspond to false entries:
#density = 4e-3 / gas.scale.Msol_pc3
#mask = map(row->row.rho < density, gas.data);
mask_nH = getvar(gas, :rho, :nH) .< 1. # cm-3
mask_T = getvar(gas, :Temperature, :K) .< 1e4 # K
mask_tot = mask_nH .* mask_T;
Pass the mask to the projection function:
proj_z = projection(gas, :sd, :Msol_pc2, zrange=[0.45,0.55], mask=mask_tot)
proj_x = projection(gas, :sd, :Msol_pc2, zrange=[0.45,0.55], mask=mask_tot, direction=:x);
[Mera]: 2025-06-30T11:37:56.328
domain:
xmin::xmax: 0.0 :: 1.0 ==> 0.0 [kpc] :: 48.0 [kpc]
ymin::ymax: 0.0 :: 1.0 ==> 0.0 [kpc] :: 48.0 [kpc]
zmin::zmax: 0.45 :: 0.55 ==> 21.6 [kpc] :: 26.4 [kpc]
Selected var(s)=(:sd,)
Weighting = :mass
Effective resolution: 1024^2
Map size: 1024 x 1024
Pixel size: 46.875 [pc]
Simulation min.: 46.875 [pc]
:mask provided by function
[Mera]: 2025-06-30T11:37:57.947
domain:
xmin::xmax: 0.0 :: 1.0 ==> 0.0 [kpc] :: 48.0 [kpc]
ymin::ymax: 0.0 :: 1.0 ==> 0.0 [kpc] :: 48.0 [kpc]
zmin::zmax: 0.45 :: 0.55 ==> 21.6 [kpc] :: 26.4 [kpc]
Selected var(s)=(:sd,)
Weighting = :mass
Effective resolution: 1024^2
Map size: 1024 x 104
Pixel size: 46.875 [pc]
Simulation min.: 46.875 [pc]
:mask provided by function
figure(figsize=(10, 3.5))
subplot(1,2,1)
im = imshow( log10.( permutedims(proj_z.maps[:sd])), cmap=cmap, aspect=proj_z.ratio, origin="lower", extent=proj_z.cextent, vmin=0, vmax=3)
xlabel("x [kpc]")
ylabel("y [kpc]")
cb = colorbar(im, label=L"\mathrm{log10(\Sigma) \ [M_{\odot} pc^{-2}]}")
subplot(1,2,2)
im = imshow( log10.( permutedims(proj_x.maps[:sd])), cmap=cmap, origin="lower", extent=proj_x.cextent, vmin=0, vmax=3)
xlabel("x [kpc]")
ylabel("z [kpc]")
cb = colorbar(im, label=L"\mathrm{log10(\Sigma) \ [M_{\odot} pc^{-2}]}",orientation="horizontal", pad=0.2);
tight_layout()
Weighting - Integration
By default, the data is weighted by mass, except for the surface density. Choose different weightings, e.g., volume:
proj_z = projection(gas, :cs, :km_s, weighting=[:volume]);
[Mera]: 2025-06-30T11:37:58.999
domain:
xmin::xmax: 0.0 :: 1.0 ==> 0.0 [kpc] :: 48.0 [kpc]
ymin::ymax: 0.0 :: 1.0 ==> 0.0 [kpc] :: 48.0 [kpc]
zmin::zmax: 0.0 :: 1.0 ==> 0.0 [kpc] :: 48.0 [kpc]
Selected var(s)=(:cs,)
Weighting = :volume
Effective resolution: 1024^2
Map size: 1024 x 1024
Pixel size: 46.875 [pc]
Simulation min.: 46.875 [pc]
Any quantity that is predefined (see: projection(), getvar()) or is part of the data-table can be selected. Furthermore, a unit can be given, e.g., for volume with cm3:
proj_z = projection(gas, :cs, :km_s, weighting=[:volume, :cm3]);
[Mera]: 2025-06-30T11:38:03.015
domain:
xmin::xmax: 0.0 :: 1.0 ==> 0.0 [kpc] :: 48.0 [kpc]
ymin::ymax: 0.0 :: 1.0 ==> 0.0 [kpc] :: 48.0 [kpc]
zmin::zmax: 0.0 :: 1.0 ==> 0.0 [kpc] :: 48.0 [kpc]
Selected var(s)=(:cs,)
Weighting = :volume
Effective resolution: 1024^2
Map size: 1024 x 1024
Pixel size: 46.875 [pc]
Simulation min.: 46.875 [pc]