Eureka
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Published
20 hours ago •
kevin218
kevin218
Stage 3 optical spectrum extraction and obtaining 2-D Spectrum plot with a linear wavelength x-axis for NIRSpec G395H
Instrument
NIRSpec (Stages 1-3)
What happened?
I am currently Running Stage 3 of Eureka! Pipeline, specifically in generating 2-D spectrum plot with linear wavelength x-axis. It seems that the normalized flux from integration number 0 to 155 only has a value in the wavelength around 2.8 μm (x-axis is from 2.8 ~ 3.8 μm) shown in the given png file. However, it must have some flux in all the region across x-axis (wavelength). I thought that the results from optimal spectrum extraction contributes to this error and so I would like to also provide my results for optimal spectrum extraction below.
I will also provide some details of the code below during optimal spectrum extraction.
Performing optimal spectral extraction...
0%| | 0/155 [00:00<?, ?it/s]
Figure(800x400)
...
1%|▎ | 1/155 [00:32<1:22:12, 32.03s/it]Figure(800x400)
...
100%|█████████████████████████████████████████| 155/155 [20:02<00:00, 7.76s/it]
Creating figures for optimal spectral extraction
0%| | 0/5 [00:00<?, ?it/s]Figure(640x480)
20%|█████████ | 1/5 [00:00<00:03, 1.16it/s]Figure(640x480)
40%|██████████████████ | 2/5 [00:01<00:02, 1.21it/s]Figure(640x480)
60%|███████████████████████████ | 3/5 [00:02<00:01, 1.22it/s]Figure(640x480)
80%|████████████████████████████████████ | 4/5 [00:03<00:00, 1.16it/s]Figure(640x480)
100%|█████████████████████████████████████████████| 5/5 [00:04<00:00, 1.19it/s]
Figure(800x400)
Error traceback output
No response
What operating system are you using?
macOS Sonoma 14.5
What version of Python are you running?
Python 3.11.9
What Python packages do you have installed?
# Name Version Build Channel
alabaster 0.7.16 pypi_0 pypi
anyio 4.4.0 pyhd8ed1ab_0 conda-forge
appnope 0.1.4 pyhd8ed1ab_0 conda-forge
argon2-cffi 23.1.0 pyhd8ed1ab_0 conda-forge
argon2-cffi-bindings 21.2.0 py311h2725bcf_4 conda-forge
arrow 1.3.0 pyhd8ed1ab_0 conda-forge
asciitree 0.3.3 pypi_0 pypi
asdf 3.2.0 pypi_0 pypi
asdf-astropy 0.6.1 pypi_0 pypi
asdf-coordinates-schemas 0.3.0 pypi_0 pypi
asdf-standard 1.1.1 pypi_0 pypi
asdf-transform-schemas 0.5.0 pypi_0 pypi
asdf-wcs-schemas 0.4.0 pypi_0 pypi
asteval 0.9.33 pypi_0 pypi
astraeus 0.3 pypi_0 pypi
astropy 6.1.1 pypi_0 pypi
astropy-healpix 1.0.3 pypi_0 pypi
astropy-iers-data 0.2024.6.17.0.31.35 pypi_0 pypi
astroquery 0.4.7 pypi_0 pypi
astroscrappy 1.2.0 pypi_0 pypi
asttokens 2.4.1 pyhd8ed1ab_0 conda-forge
async-lru 2.0.4 pyhd8ed1ab_0 conda-forge
attrs 23.2.0 pyh71513ae_0 conda-forge
babel 2.14.0 pyhd8ed1ab_0 conda-forge
backports-tarfile 1.2.0 pypi_0 pypi
batman-package 2.4.9 pypi_0 pypi
bayesicfitting 3.2.1 pypi_0 pypi
beautifulsoup4 4.12.3 pyha770c72_0 conda-forge
bleach 6.1.0 pyhd8ed1ab_0 conda-forge
bokeh 2.4.3 pypi_0 pypi
bottleneck 1.4.0 pypi_0 pypi
brotli-python 1.1.0 py311hdf8f085_1 conda-forge
bzip2 1.0.8 h10d778d_5 conda-forge
ca-certificates 2024.6.2 h8857fd0_0 conda-forge
cached-property 1.5.2 hd8ed1ab_1 conda-forge
cached_property 1.5.2 pyha770c72_1 conda-forge
ccdproc 2.4.2 pypi_0 pypi
celerite 0.4.2 pypi_0 pypi
certifi 2024.6.2 pyhd8ed1ab_0 conda-forge
cffi 1.16.0 py311hc0b63fd_0 conda-forge
cftime 1.6.4 pypi_0 pypi
charset-normalizer 3.3.2 pyhd8ed1ab_0 conda-forge
click 8.1.7 pypi_0 pypi
cloudpickle 3.0.0 pypi_0 pypi
comm 0.2.2 pyhd8ed1ab_0 conda-forge
contourpy 1.2.1 pypi_0 pypi
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crds 11.17.25 pypi_0 pypi
cycler 0.12.1 pypi_0 pypi
dask 2024.6.2 pypi_0 pypi
debugpy 1.8.1 py311hdd0406b_0 conda-forge
decorator 5.1.1 pyhd8ed1ab_0 conda-forge
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fsspec 2024.6.0 pypi_0 pypi
future 1.0.0 pypi_0 pypi
george 0.4.1 pypi_0 pypi
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h11 0.14.0 pyhd8ed1ab_0 conda-forge
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hpack 4.0.0 pyh9f0ad1d_0 conda-forge
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imageio 2.34.1 pypi_0 pypi
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jaraco-functools 4.0.1 pypi_0 pypi
jedi 0.19.1 pyhd8ed1ab_0 conda-forge
jinja2 3.1.4 pyhd8ed1ab_0 conda-forge
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jsonschema 4.22.0 pyhd8ed1ab_0 conda-forge
jsonschema-specifications 2023.12.1 pyhd8ed1ab_0 conda-forge
jsonschema-with-format-nongpl 4.22.0 pyhd8ed1ab_0 conda-forge
jupyter-lsp 2.2.5 pyhd8ed1ab_0 conda-forge
jupyter_client 8.6.2 pyhd8ed1ab_0 conda-forge
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jupyter_events 0.10.0 pyhd8ed1ab_0 conda-forge
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matplotlib 3.9.0 pypi_0 pypi
matplotlib-inline 0.1.7 pyhd8ed1ab_0 conda-forge
mistune 3.0.2 pyhd8ed1ab_0 conda-forge
more-itertools 10.3.0 pypi_0 pypi
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nbconvert-core 7.16.4 pyhd8ed1ab_1 conda-forge
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nest-asyncio 1.6.0 pyhd8ed1ab_0 conda-forge
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numpy 1.24.4 pypi_0 pypi
numpydoc 1.7.0 pypi_0 pypi
opencv-python-headless 4.10.0.84 pypi_0 pypi
openssl 3.3.1 h87427d6_0 conda-forge
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packaging 24.1 pyhd8ed1ab_0 conda-forge
pandas 2.2.2 pypi_0 pypi
pandocfilters 1.5.0 pyhd8ed1ab_0 conda-forge
parsley 1.3 pypi_0 pypi
parso 0.8.4 pyhd8ed1ab_0 conda-forge
partd 1.4.2 pypi_0 pypi
pexpect 4.9.0 pyhd8ed1ab_0 conda-forge
photutils 1.12.0 pypi_0 pypi
pickleshare 0.7.5 py_1003 conda-forge
pillow 10.3.0 pypi_0 pypi
pip 24.0 pyhd8ed1ab_0 conda-forge
pkgutil-resolve-name 1.3.10 pyhd8ed1ab_1 conda-forge
platformdirs 4.2.2 pyhd8ed1ab_0 conda-forge
pluggy 1.5.0 pypi_0 pypi
poppy 1.1.1 pypi_0 pypi
prometheus_client 0.20.0 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.47 pyha770c72_0 conda-forge
psutil 5.9.8 py311he705e18_0 conda-forge
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python 3.11.9 h657bba9_0_cpython conda-forge
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setuptools 70.1.0 pyhd8ed1ab_0 conda-forge
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six 1.16.0 pyh6c4a22f_0 conda-forge
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stack_data 0.6.2 pyhd8ed1ab_0 conda-forge
stcal 1.4.4 pypi_0 pypi
stdatamodels 1.7.2 pypi_0 pypi
stpipe 0.5.2 pypi_0 pypi
stsci-image 2.3.9 pypi_0 pypi
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