Simulating observations with MUSTANG-2¶
MUSTANG-2 is a bolometric array on the Green Bank Telescope. In this notebook we simulate an observation of the Crab Nebula (M1).
[1]:
import maria
input_map = maria.map.get("maps/m1.h5")
input_map.plot(nu_index=[0, 1, 2])
print(input_map)
2026-05-13 12:08:58.104 INFO: Fetching https://github.com/thomaswmorris/maria-data/raw/master/maps/m1.h5
Downloading: 100%|██████████| 4.54M/4.54M [00:00<00:00, 132MB/s]
ProjectionMap:
data(1, 3, 805, 787):
min: -2.429e-02
max: 3.824e-01
units: K_RJ
quantity: rayleigh_jeans_temperature
stokes(1):
components: I
nu(3):
values: [149.8962 214.1375 272.5386] GHz
y(805):
height: 13.42’
res: 1”
x(787):
width: 13.12’
res: 1”
frame: ra/dec
center:
ra: 05ʰ34ᵐ31.95ˢ
dec: 22°00’52.16”
beam(maj, min, psi): (0 rad, 0 rad, 0 rad)
memory: 15.2 MB
[2]:
from maria import Planner
planner = Planner(target=input_map, site="green_bank", constraints={"el": (60, 90)})
plans = planner.generate_plans(total_duration=900, sample_rate=100)
plans[0].plot()
print(plans)
PlanList(1 plans, 900 s):
start_time duration target(ra,dec) center(az,el)
chunk
0 2026-05-13 17:33:24.182 +00:00 900 s (83.63°, 22.01°) (117.3°, 61.56°)
[3]:
instrument = maria.get_instrument("MUSTANG-2")
print(instrument)
instrument.plot()
Instrument(1 array)
├ arrays:
│ n FOV baseline bands polarized
│ array1 217 4.2’ 0 m [m2/f093] False
│
└ bands:
name center width η NEP NET_RJ NET_CMB FWHM
0 m2/f093 86.21 GHz 20.98 GHz 0.1 15 aW√s 571.1 uK_RJ√s 690.5 uK_CMB√s 9.133”
[4]:
sim = maria.Simulation(
instrument,
plans=plans,
site="green_bank",
map=input_map,
atmosphere="2d",
)
print(sim)
2026-05-13 12:09:10.481 INFO: Fetching https://github.com/thomaswmorris/maria-data/raw/master/atmosphere/spectra/am/v3/green_bank.h5
Downloading: 100%|██████████| 22.0M/22.0M [00:00<00:00, 184MB/s]
2026-05-13 12:09:11.316 INFO: Fetching https://github.com/thomaswmorris/maria-data/raw/master/atmosphere/weather/era5/green_bank.h5
Downloading: 100%|██████████| 12.0M/12.0M [00:00<00:00, 155MB/s]
Simulation
├ Instrument(1 array)
│ ├ arrays:
│ │ n FOV baseline bands polarized
│ │ array1 217 4.2’ 0 m [m2/f093] False
│ │
│ └ bands:
│ name center width η NEP NET_RJ NET_CMB FWHM
│ 0 m2/f093 86.21 GHz 20.98 GHz 0.1 15 aW√s 571.1 uK_RJ√s 690.5 uK_CMB√s 9.133”
├ Site:
│ region: green_bank
│ timezone: America/New_York
│ location:
│ longitude: 79°50’23.28” W
│ latitude: 38°25’59.16” N
│ altitude: 825 m
│ seasonal: True
│ diurnal: True
├ PlanList(1 plans, 900 s):
│ start_time duration target(ra,dec) center(az,el)
│ chunk
│ 0 2026-05-13 17:33:24.182 +00:00 900 s (83.63°, 22.01°) (117.3°, 61.56°)
├ '2d'
└ ProjectionMap:
data(1, 3, 1, 805, 787):
min: -2.429e-02
max: 3.824e-01
units: K_RJ
quantity: rayleigh_jeans_temperature
stokes(1):
components: I
nu(3):
values: [149.8962 214.1375 272.5386] GHz
t(1):
values: [1.77867414e+09] s
y(805):
height: 13.42’
res: 1”
x(787):
width: 13.12’
res: 1”
frame: ra/dec
center:
ra: 05ʰ34ᵐ31.95ˢ
dec: 22°00’52.16”
beam(maj, min, psi): (0 rad, 0 rad, 0 rad)
memory: 15.2 MB
[5]:
tods = sim.run()
tods[0].plot()
2026-05-13 12:09:12.086 INFO: Simulating observation 1 of 1
Constructing atmosphere: 100%|██████████| 8/8 [00:00<00:00, 8.50it/s]
Generating turbulence: 100%|██████████| 8/8 [00:00<00:00, 28.73it/s]
Sampling turbulence: 100%|██████████| 8/8 [00:03<00:00, 2.07it/s]
Computing atmospheric emission: 100%|██████████| 1/1 [00:00<00:00, 1.20it/s, band=m2/f093]
Sampling map: 100%|██████████| 1/1 [00:09<00:00, 9.81s/it, band=m2/f093, channel=(0 Hz, 182 GHz)]
Generating noise: 100%|██████████| 1/1 [00:00<00:00, 1.13it/s, band=m2/f093]
2026-05-13 12:09:41.265 INFO: Simulated observation 1 of 1 in 29.16 s
[6]:
from maria.mappers import BinMapper
mapper = BinMapper(
tod_preprocessing={
# "remove_modes": {"modes_to_remove": 1},
"remove_spline": {"knot_spacing": 30, "remove_el_gradient": True},
},
units="uK_RJ",
tods=tods,
resolution=2 * input_map.resolution,
)
output_map = mapper.run()
2026-05-13 12:09:48.513 INFO: Inferring center {'ra': '05ʰ34ᵐ31.97ˢ', 'dec': '22°00’52.23”'} for mapper.
2026-05-13 12:09:48.527 INFO: Inferring mapper width 16.95’ for mapper from observation patch.
2026-05-13 12:09:48.528 INFO: Inferring mapper height 16.95’ to match supplied width.
2026-05-13 12:09:48.532 INFO: Inferring mapper stokes parameters 'I' for mapper.
Preprocessing TODs: 100%|██████████| 1/1 [00:07<00:00, 7.31s/it]
Mapping: 100%|██████████| 1/1 [00:01<00:00, 1.71s/it, tod=1/1]
[7]:
output_map.plot()