Installing the Hubble Advanced Spectral Products Script#
This Notebook is designed to walk you through downloading, installing, and using the Hubble Advanced Spectral Products (HASP) co-add script.#
Learning Goals:#
By the end of this tutorial, you will:
Download
condaand create acondaenvironmentDownload and install the co-add script
Learn how to run the script
Understand the naming conventions of the co-added output files
Table of Contents#
0. Introduction
1. Downloading and Installing conda
- 1.1 Installing conda
- 1.2 Creating a conda Environment
2. Downloading and Installing the HASP Script
3. Running the Co-add Script
- 3.1 Running the Script
- 3.2 Understanding the Output Files
0. Introduction#
The Hubble Advanced Spectral Products (HASP) code is a script that co-adds spectra of the same target within programs. This software is able to co-add data taken with the spectrographs onboard the Hubble Space Telescope (HST); the Space Telescope Imaging Spectrograph (STIS) and the Cosmic Origins Spectrograph (COS). The Hubble Spectroscopic Legacy Archive (HSLA) uses this script to co-add these instruments’ data from the MAST archive to create high-quality spectra with a broad wavelength coverate (whenever possible from the ultraviolet to the near-infrared) that is publicly available for the scientific community. These custom co-addition notebooks will instruct users on how to produce their own co-adds in cases where the MAST archive data needs special processing or is rejected by the default filters used in the co-add script.
The script first co-adds the observations for each grating for a given program, then it combines all gratings for the observation set. Finally, it co-adds the spectra of each observation set in the program to produce a fully co-added spectra for each target in a program.
This notebook focuses primarily on the installation of the co-add code, and provides a quick overview on its usage. To see an example of downloading COS and STIS datasets, running the script, and analyzing the output, please check out our notebook CoaddTutorial.ipynb.
1. Downloading and Installing conda#
1.1 Installing conda#
Conda is a package, dependency, and environment manager that runs on Windows, Mac, and Linux. Conda allows us to easily install Python packages and create isolated conda environments, each with their own packages and dependencies. By switching between conda environments, we avoid conflicts between different versions of packages.
We will create a conda environment to install the packages needed for the HASP script. We can first check if you have conda already installed by running the command in the terminal:
!conda --version
conda 24.1.2
Running the command should print out the version of conda that you have installed (e.g. conda 23.7.2). If the command returns a statement saying that the package is unknown, then you do not have conda installed on your machine. You will need to download one of the conda distributions.
There are a few different distributions of conda that you can install, depending on your preferences. Anaconda is one distribution that carries a lot of pre-installed packages, some of which you won’t use. Miniconda is another distribution of conda that contains only the minimum packages. Finally, the Mamba disctribution of conda is similar to Miniconda, but uses different parallelization and cache algorithms to increase speed and optimize memory.
Once you have installed one of these clients, try running the above cell again to confirm that conda is installed.
1.2 Creating a Conda Environment#
Once you’ve installed conda, we can create a conda environment. We will download all of the packages needed to run the HASP script in a new environment that we will create, called hasp-env. We will use this environment for all of the tutorial notebooks.
The first step is to add the conda-forge channel to the list of avaible conda channels. Channels are where conda packages are stored and downloaded from, and conda-forge allows us to download additional packages for the code that the default conda channel may not have available. We can add this channel by running the following command in the terminal:
!conda config --add channels conda-forge
We can now create the conda environment, hasp-env. Note that this can take several minutes to run:
!yes | conda create --name hasp-env python=3.11 notebook jupyterlab numpy astropy astroquery matplotlib
Channels:
- conda-forge
- defaults
Platform: linux-64
Collecting package metadata (repodata.json): -
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done
Solving environment: /
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done
## Package Plan ##
environment location: /usr/share/miniconda/envs/hasp-env
added / updated specs:
- astropy
- astroquery
- jupyterlab
- matplotlib
- notebook
- numpy
- python=3.11
The following packages will be downloaded:
package | build
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_libgcc_mutex-0.1 | conda_forge 3 KB conda-forge
_openmp_mutex-4.5 | 2_gnu 23 KB conda-forge
alsa-lib-1.2.11 | hd590300_1 542 KB conda-forge
anyio-4.3.0 | pyhd8ed1ab_0 100 KB conda-forge
argon2-cffi-23.1.0 | pyhd8ed1ab_0 18 KB conda-forge
argon2-cffi-bindings-21.2.0| py311h459d7ec_4 34 KB conda-forge
arrow-1.3.0 | pyhd8ed1ab_0 98 KB conda-forge
astropy-6.0.1 | py311h1f0f07a_0 9.1 MB conda-forge
astropy-iers-data-0.2024.4.15.2.45.49| pyhd8ed1ab_0 1.2 MB conda-forge
astroquery-0.4.7 | pyhd8ed1ab_0 3.8 MB conda-forge
asttokens-2.4.1 | pyhd8ed1ab_0 28 KB conda-forge
async-lru-2.0.4 | pyhd8ed1ab_0 15 KB conda-forge
attr-2.5.1 | h166bdaf_1 69 KB conda-forge
attrs-23.2.0 | pyh71513ae_0 53 KB conda-forge
babel-2.14.0 | pyhd8ed1ab_0 7.3 MB conda-forge
beautifulsoup4-4.12.3 | pyha770c72_0 115 KB conda-forge
bleach-6.1.0 | pyhd8ed1ab_0 128 KB conda-forge
brotli-1.1.0 | hd590300_1 19 KB conda-forge
brotli-bin-1.1.0 | hd590300_1 19 KB conda-forge
brotli-python-1.1.0 | py311hb755f60_1 343 KB conda-forge
bzip2-1.0.8
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ca-certificates-2024.2.2 | hbcca054_0 152 KB conda-forge
cached-property-1.5.2 | hd8ed1ab_1 4 KB conda-forge
cached_property-1.5.2 | pyha770c72_1 11 KB conda-forge
cairo-1.18.0 | h3faef2a_0 959 KB conda-forge
certifi-2024.2.2 | pyhd8ed1ab_0 157 KB conda-forge
cffi-1.16.0 | py311hb3a22ac_0 293 KB conda-forge
charset-normalizer-3.3.2 | pyhd8ed1ab_0 46 KB conda-forge
comm-0.2.2 | pyhd8ed1ab_0 12 KB conda-forge
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fonttools-4.51.0 | py311h459d7ec_0 2.7 MB conda-forge
fqdn-1.5.1 | pyhd8ed1ab_0 14 KB conda-forge
freetype-2.12.1 | h267a509_2 620 KB conda-forge
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glib-2.80.0 | hf2295e7_5 585 KB conda-forge
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graphite2-1.3.13 | h59595ed_1003 95 KB conda-forge
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importlib_resources-6.4.0 | pyhd8ed1ab_0 32 KB conda-forge
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libuuid-2.38.1 | h0b41bf4_0 33 KB conda-forge
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libwebp-base-1.4.0 | hd590300_0 429 KB conda-forge
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libxcrypt-4.4.36 | hd590300_1 98 KB conda-forge
libxkbcommon-1.7.0 | h662e7e4_0 580 KB conda-forge
libxml2-2.12.6 | h232c23b_2 688 KB conda-forge
libzlib-1.2.13 | hd590300_5 60 KB conda-forge
lz4-c-1.9.4 | hcb278e6_0 140 KB conda-forge
markupsafe-2.1.5 | py311h459d7ec_0 27 KB conda-forge
matplotlib-3.8.4 | py311h38be061_0 8 KB conda-forge
matplotlib-base-3.8.4 | py311h54ef318_0 7.4 MB conda-forge
matplotlib-inline-0.1.7 | pyhd8ed1ab_0 14 KB conda-forge
mistune-3.0.2 | pyhd8ed1ab_0 64 KB conda-forge
more-itertools-10.2.0 | pyhd8ed1ab_0 53 KB conda-forge
mpg123-1.32.6 | h59595ed_0 480 KB conda-forge
munkres-1.1.4 | pyh9f0ad1d_0 12 KB conda-forge
mysql-common-8.3.0 | hf1915f5_4 766 KB conda-forge
mysql-libs-8.3.0 | hca2cd23_4 1.5 MB conda-forge
nbclient-0.10.0 | pyhd8ed1ab_0 27 KB conda-forge
nbconvert-core-7.16.3 | pyhd8ed1ab_1 184 KB conda-forge
nbformat-5.10.4 | pyhd8ed1ab_0 99 KB conda-forge
ncurses-6.4.20240210 | h59595ed_0 875 KB conda-forge
nest-asyncio-1.6.0 | pyhd8ed1ab_0 11 KB conda-forge
notebook-7.1.3 | pyhd8ed1ab_0 3.8 MB conda-forge
notebook-shim-0.2.4 | pyhd8ed1ab_0 16 KB conda-forge
nspr-4.35 | h27087fc_0 222 KB conda-forge
nss-3.98 | h1d7d5a4_0 1.9 MB conda-forge
numpy-1.26.4 | py311h64a7726_0 7.7 MB conda-forge
openjpeg-2.5.2 | h488ebb8_0 334 KB conda-forge
openssl-3.2.1 | hd590300_1 2.7 MB conda-forge
overrides-7.7.0 | pyhd8ed1ab_0 30 KB conda-forge
packaging-24.0 | pyhd8ed1ab_0 49 KB conda-forge
pandocfilters-1.5.0 | pyhd8ed1ab_0 11 KB conda-forge
parso-0.8.4 | pyhd8ed1ab_0 73 KB conda-forge
pcre2-10.43 | hcad00b1_0 929 KB conda-forge
pexpect-4.9.0 | pyhd8ed1ab_0 52 KB conda-forge
pickleshare-0.7.5 | py_1003 9 KB conda-forge
pillow-10.3.0 | py311h18e6fac_0 40.6 MB conda-forge
pip-24.0 | pyhd8ed1ab_0 1.3 MB conda-forge
pixman-0.43.2 | h59595ed_0 378 KB conda-forge
pkgutil-resolve-name-1.3.10| pyhd8ed1ab_1 11 KB conda-forge
platformdirs-4.2.0 | pyhd8ed1ab_0 20 KB conda-forge
ply-3.11 | pyhd8ed1ab_2 48 KB conda-forge
prometheus_client-0.20.0 | pyhd8ed1ab_0 48 KB conda-forge
prompt-toolkit-3.0.42 | pyha770c72_0 264 KB conda-forge
psutil-5.9.8 | py311h459d7ec_0 494 KB conda-forge
pthread-stubs-0.4 | h36c2ea0_1001 5 KB conda-forge
ptyprocess-0.7.0 | pyhd3deb0d_0 16 KB conda-forge
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pure_eval-0.2.2 | pyhd8ed1ab_0 14 KB conda-forge
pycparser-2.22 | pyhd8ed1ab_0 103 KB conda-forge
pyerfa-2.0.1.4 | py311h1f0f07a_0 365 KB conda-forge
pygments-2.17.2 | pyhd8ed1ab_0 840 KB conda-forge
pyparsing-3.1.2 | pyhd8ed1ab_0 87 KB conda-forge
pyqt-5.15.9 | py311hf0fb5b6_5 5.1 MB conda-forge
pyqt5-sip-12.12.2 | py311hb755f60_5 83 KB conda-forge
pysocks-1.7.1 | pyha2e5f31_6 19 KB conda-forge
python-3.11.8 |hab00c5b_0_cpython 29.3 MB conda-forge
python-dateutil-2.9.0 | pyhd8ed1ab_0 218 KB conda-forge
python-fastjsonschema-2.19.1| pyhd8ed1ab_0 220 KB conda-forge
python-json-logger-2.0.7 | pyhd8ed1ab_0 13 KB conda-forge
python_abi-3.11 | 4_cp311 6 KB conda-forge
pytz-2024.1 | pyhd8ed1ab_0 184 KB conda-forge
pyvo-1.5.1 | pyhd8ed1ab_0 773 KB conda-forge
pyyaml-6.0.1 | py311h459d7ec_1 196 KB conda-forge
pyzmq-26.0.0 | py311h34ded2d_0 464 KB conda-forge
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xorg-xf86vidmodeproto-2.3.1| h7f98852_1002 23 KB conda-forge
xorg-xproto-7.0.31 | h7f98852_1007 73 KB conda-forge
xz-5.2.6 | h166bdaf_0 409 KB conda-forge
yaml-0.2.5 | h7f98852_2 87 KB conda-forge
zeromq-4.3.5 | h59595ed_1 335 KB conda-forge
zipp-3.17.0 | pyhd8ed1ab_0 19 KB conda-forge
zlib-1.2.13 | hd590300_5 91 KB conda-forge
zstd-1.5.5 | hfc55251_0 532 KB conda-forge
------------------------------------------------------------
Total: 378.1 MB
The following NEW packages will be INSTALLED:
_libgcc_mutex conda-forge/linux-64::_libgcc_mutex-0.1-conda_forge
_openmp_mutex conda-forge/linux-64::_openmp_mutex-4.5-2_gnu
alsa-lib conda-forge/linux-64::alsa-lib-1.2.11-hd590300_1
anyio conda-forge/noarch::anyio-4.3.0-pyhd8ed1ab_0
argon2-cffi conda-forge/noarch::argon2-cffi-23.1.0-pyhd8ed1ab_0
argon2-cffi-bindi~ conda-forge/linux-64::argon2-cffi-bindings-21.2.0-py311h459d7ec_4
arrow conda-forge/noarch::arrow-1.3.0-pyhd8ed1ab_0
astropy conda-forge/linux-64::astropy-6.0.1-py311h1f0f07a_0
astropy-iers-data conda-forge/noarch::astropy-iers-data-0.2024.4.15.2.45.49-pyhd8ed1ab_0
astroquery conda-forge/noarch::astroquery-0.4.7-pyhd8ed1ab_0
asttokens conda-forge/noarch::asttokens-2.4.1-pyhd8ed1ab_0
async-lru conda-forge/noarch::async-lru-2.0.4-pyhd8ed1ab_0
attr conda-forge/linux-64::attr-2.5.1-h166bdaf_1
attrs conda-forge/noarch::attrs-23.2.0-pyh71513ae_0
babel conda-forge/noarch::babel-2.14.0-pyhd8ed1ab_0
beautifulsoup4 conda-forge/noarch::beautifulsoup4-4.12.3-pyha770c72_0
bleach conda-forge/noarch::bleach-6.1.0-pyhd8ed1ab_0
brotli conda-forge/linux-64::brotli-1.1.0-hd590300_1
brotli-bin conda-forge/linux-64::brotli-bin-1.1.0-hd590300_1
brotli-python conda-forge/linux-64::brotli-python-1.1.0-py311hb755f60_1
bzip2 conda-forge/linux-64::bzip2-1.0.8-hd590300_5
ca-certificates conda-forge/linux-64::ca-certificates-2024.2.2-hbcca054_0
cached-property conda-forge/noarch::cached-property-1.5.2-hd8ed1ab_1
cached_property conda-forge/noarch::cached_property-1.5.2-pyha770c72_1
cairo conda-forge/linux-64::cairo-1.18.0-h3faef2a_0
certifi conda-forge/noarch::certifi-2024.2.2-pyhd8ed1ab_0
cffi conda-forge/linux-64::cffi-1.16.0-py311hb3a22ac_0
charset-normalizer conda-forge/noarch::charset-normalizer-3.3.2-pyhd8ed1ab_0
comm conda-forge/noarch::comm-0.2.2-pyhd8ed1ab_0
contourpy conda-forge/linux-64::contourpy-1.2.1-py311h9547e67_0
cryptography conda-forge/linux-64::cryptography-42.0.5-py311h63ff55d_0
cycler conda-forge/noarch::cycler-0.12.1-pyhd8ed1ab_0
dbus conda-forge/linux-64::dbus-1.13.6-h5008d03_3
debugpy conda-forge/linux-64::debugpy-1.8.1-py311hb755f60_0
decorator conda-forge/noarch::decorator-5.1.1-pyhd8ed1ab_0
defusedxml conda-forge/noarch::defusedxml-0.7.1-pyhd8ed1ab_0
entrypoints conda-forge/noarch::entrypoints-0.4-pyhd8ed1ab_0
exceptiongroup conda-forge/noarch::exceptiongroup-1.2.0-pyhd8ed1ab_2
executing conda-forge/noarch::executing-2.0.1-pyhd8ed1ab_0
expat conda-forge/linux-64::expat-2.6.2-h59595ed_0
font-ttf-dejavu-s~ conda-forge/noarch::font-ttf-dejavu-sans-mono-2.37-hab24e00_0
font-ttf-inconsol~ conda-forge/noarch::font-ttf-inconsolata-3.000-h77eed37_0
font-ttf-source-c~ conda-forge/noarch::font-ttf-source-code-pro-2.038-h77eed37_0
font-ttf-ubuntu conda-forge/noarch::font-ttf-ubuntu-0.83-h77eed37_1
fontconfig conda-forge/linux-64::fontconfig-2.14.2-h14ed4e7_0
fonts-conda-ecosy~ conda-forge/noarch::fonts-conda-ecosystem-1-0
fonts-conda-forge conda-forge/noarch::fonts-conda-forge-1-0
fonttools conda-forge/linux-64::fonttools-4.51.0-py311h459d7ec_0
fqdn conda-forge/noarch::fqdn-1.5.1-pyhd8ed1ab_0
freetype conda-forge/linux-64::freetype-2.12.1-h267a509_2
gettext conda-forge/linux-64::gettext-0.22.5-h59595ed_2
gettext-tools conda-forge/linux-64::gettext-tools-0.22.5-h59595ed_2
glib conda-forge/linux-64::glib-2.80.0-hf2295e7_5
glib-tools conda-forge/linux-64::glib-tools-2.80.0-hde27a5a_5
graphite2 conda-forge/linux-64::graphite2-1.3.13-h59595ed_1003
gst-plugins-base conda-forge/linux-64::gst-plugins-base-1.24.1-hfa15dee_1
gstreamer conda-forge/linux-64::gstreamer-1.24.1-h98fc4e7_1
h11 conda-forge/noarch::h11-0.14.0-pyhd8ed1ab_0
h2 conda-forge/noarch::h2-4.1.0-pyhd8ed1ab_0
harfbuzz conda-forge/linux-64::harfbuzz-8.3.0-h3d44ed6_0
hpack conda-forge/noarch::hpack-4.0.0-pyh9f0ad1d_0
html5lib conda-forge/noarch::html5lib-1.1-pyh9f0ad1d_0
httpcore conda-forge/noarch::httpcore-1.0.5-pyhd8ed1ab_0
httpx conda-forge/noarch::httpx-0.27.0-pyhd8ed1ab_0
hyperframe conda-forge/noarch::hyperframe-6.0.1-pyhd8ed1ab_0
icu conda-forge/linux-64::icu-73.2-h59595ed_0
idna conda-forge/noarch::idna-3.7-pyhd8ed1ab_0
importlib-metadata conda-forge/noarch::importlib-metadata-7.1.0-pyha770c72_0
importlib_metadata conda-forge/noarch::importlib_metadata-7.1.0-hd8ed1ab_0
importlib_resourc~ conda-forge/noarch::importlib_resources-6.4.0-pyhd8ed1ab_0
ipykernel conda-forge/noarch::ipykernel-6.29.3-pyhd33586a_0
ipython conda-forge/noarch::ipython-8.22.2-pyh707e725_0
isoduration conda-forge/noarch::isoduration-20.11.0-pyhd8ed1ab_0
jaraco.classes conda-forge/noarch::jaraco.classes-3.4.0-pyhd8ed1ab_0
jaraco.context conda-forge/noarch::jaraco.context-4.3.0-pyhd8ed1ab_0
jaraco.functools conda-forge/noarch::jaraco.functools-4.0.0-pyhd8ed1ab_0
jedi conda-forge/noarch::jedi-0.19.1-pyhd8ed1ab_0
jeepney conda-forge/noarch::jeepney-0.8.0-pyhd8ed1ab_0
jinja2 conda-forge/noarch::jinja2-3.1.3-pyhd8ed1ab_0
json5 conda-forge/noarch::json5-0.9.25-pyhd8ed1ab_0
jsonpointer conda-forge/linux-64::jsonpointer-2.4-py311h38be061_3
jsonschema conda-forge/noarch::jsonschema-4.21.1-pyhd8ed1ab_0
jsonschema-specif~ conda-forge/noarch::jsonschema-specifications-2023.12.1-pyhd8ed1ab_0
jsonschema-with-f~ conda-forge/noarch::jsonschema-with-format-nongpl-4.21.1-pyhd8ed1ab_0
jupyter-lsp conda-forge/noarch::jupyter-lsp-2.2.5-pyhd8ed1ab_0
jupyter_client conda-forge/noarch::jupyter_client-8.6.1-pyhd8ed1ab_0
jupyter_core conda-forge/linux-64::jupyter_core-5.7.2-py311h38be061_0
jupyter_events conda-forge/noarch::jupyter_events-0.10.0-pyhd8ed1ab_0
jupyter_server conda-forge/noarch::jupyter_server-2.14.0-pyhd8ed1ab_0
jupyter_server_te~ conda-forge/noarch::jupyter_server_terminals-0.5.3-pyhd8ed1ab_0
jupyterlab conda-forge/noarch::jupyterlab-4.1.6-pyhd8ed1ab_0
jupyterlab_pygmen~ conda-forge/noarch::jupyterlab_pygments-0.3.0-pyhd8ed1ab_1
jupyterlab_server conda-forge/noarch::jupyterlab_server-2.26.0-pyhd8ed1ab_0
keyring conda-forge/noarch::keyring-25.1.0-pyha804496_0
keyutils conda-forge/linux-64::keyutils-1.6.1-h166bdaf_0
kiwisolver conda-forge/linux-64::kiwisolver-1.4.5-py311h9547e67_1
krb5 conda-forge/linux-64::krb5-1.21.2-h659d440_0
lame conda-forge/linux-64::lame-3.100-h166bdaf_1003
lcms2 conda-forge/linux-64::lcms2-2.16-hb7c19ff_0
ld_impl_linux-64 conda-forge/linux-64::ld_impl_linux-64-2.40-h41732ed_0
lerc conda-forge/linux-64::lerc-4.0.0-h27087fc_0
libasprintf conda-forge/linux-64::libasprintf-0.22.5-h661eb56_2
libasprintf-devel conda-forge/linux-64::libasprintf-devel-0.22.5-h661eb56_2
libblas conda-forge/linux-64::libblas-3.9.0-22_linux64_openblas
libbrotlicommon conda-forge/linux-64::libbrotlicommon-1.1.0-hd590300_1
libbrotlidec conda-forge/linux-64::libbrotlidec-1.1.0-hd590300_1
libbrotlienc conda-forge/linux-64::libbrotlienc-1.1.0-hd590300_1
libcap conda-forge/linux-64::libcap-2.69-h0f662aa_0
libcblas conda-forge/linux-64::libcblas-3.9.0-22_linux64_openblas
libclang-cpp15 conda-forge/linux-64::libclang-cpp15-15.0.7-default_h127d8a8_5
libclang13 conda-forge/linux-64::libclang13-18.1.3-default_h5d6823c_0
libcups conda-forge/linux-64::libcups-2.3.3-h4637d8d_4
libdeflate conda-forge/linux-64::libdeflate-1.20-hd590300_0
libedit conda-forge/linux-64::libedit-3.1.20191231-he28a2e2_2
libevent conda-forge/linux-64::libevent-2.1.12-hf998b51_1
libexpat conda-forge/linux-64::libexpat-2.6.2-h59595ed_0
libffi conda-forge/linux-64::libffi-3.4.2-h7f98852_5
libflac conda-forge/linux-64::libflac-1.4.3-h59595ed_0
libgcc-ng conda-forge/linux-64::libgcc-ng-13.2.0-h807b86a_5
libgcrypt conda-forge/linux-64::libgcrypt-1.10.3-hd590300_0
libgettextpo conda-forge/linux-64::libgettextpo-0.22.5-h59595ed_2
libgettextpo-devel conda-forge/linux-64::libgettextpo-devel-0.22.5-h59595ed_2
libgfortran-ng conda-forge/linux-64::libgfortran-ng-13.2.0-h69a702a_5
libgfortran5 conda-forge/linux-64::libgfortran5-13.2.0-ha4646dd_5
libglib conda-forge/linux-64::libglib-2.80.0-hf2295e7_5
libgomp conda-forge/linux-64::libgomp-13.2.0-h807b86a_5
libgpg-error conda-forge/linux-64::libgpg-error-1.48-h71f35ed_0
libiconv conda-forge/linux-64::libiconv-1.17-hd590300_2
libjpeg-turbo conda-forge/linux-64::libjpeg-turbo-3.0.0-hd590300_1
liblapack conda-forge/linux-64::liblapack-3.9.0-22_linux64_openblas
libllvm15 conda-forge/linux-64::libllvm15-15.0.7-hb3ce162_4
libllvm18 conda-forge/linux-64::libllvm18-18.1.3-h2448989_0
libnsl conda-forge/linux-64::libnsl-2.0.1-hd590300_0
libogg conda-forge/linux-64::libogg-1.3.4-h7f98852_1
libopenblas conda-forge/linux-64::libopenblas-0.3.27-pthreads_h413a1c8_0
libopus conda-forge/linux-64::libopus-1.3.1-h7f98852_1
libpng conda-forge/linux-64::libpng-1.6.43-h2797004_0
libpq conda-forge/linux-64::libpq-16.2-h33b98f1_1
libsndfile conda-forge/linux-64::libsndfile-1.2.2-hc60ed4a_1
libsodium conda-forge/linux-64::libsodium-1.0.18-h36c2ea0_1
libsqlite conda-forge/linux-64::libsqlite-3.45.3-h2797004_0
libstdcxx-ng conda-forge/linux-64::libstdcxx-ng-13.2.0-h7e041cc_5
libsystemd0 conda-forge/linux-64::libsystemd0-255-h3516f8a_1
libtiff conda-forge/linux-64::libtiff-4.6.0-h1dd3fc0_3
libuuid conda-forge/linux-64::libuuid-2.38.1-h0b41bf4_0
libvorbis conda-forge/linux-64::libvorbis-1.3.7-h9c3ff4c_0
libwebp-base conda-forge/linux-64::libwebp-base-1.4.0-hd590300_0
libxcb conda-forge/linux-64::libxcb-1.15-h0b41bf4_0
libxcrypt conda-forge/linux-64::libxcrypt-4.4.36-hd590300_1
libxkbcommon conda-forge/linux-64::libxkbcommon-1.7.0-h662e7e4_0
libxml2 conda-forge/linux-64::libxml2-2.12.6-h232c23b_2
libzlib conda-forge/linux-64::libzlib-1.2.13-hd590300_5
lz4-c conda-forge/linux-64::lz4-c-1.9.4-hcb278e6_0
markupsafe conda-forge/linux-64::markupsafe-2.1.5-py311h459d7ec_0
matplotlib conda-forge/linux-64::matplotlib-3.8.4-py311h38be061_0
matplotlib-base conda-forge/linux-64::matplotlib-base-3.8.4-py311h54ef318_0
matplotlib-inline conda-forge/noarch::matplotlib-inline-0.1.7-pyhd8ed1ab_0
mistune conda-forge/noarch::mistune-3.0.2-pyhd8ed1ab_0
more-itertools conda-forge/noarch::more-itertools-10.2.0-pyhd8ed1ab_0
mpg123 conda-forge/linux-64::mpg123-1.32.6-h59595ed_0
munkres conda-forge/noarch::munkres-1.1.4-pyh9f0ad1d_0
mysql-common conda-forge/linux-64::mysql-common-8.3.0-hf1915f5_4
mysql-libs conda-forge/linux-64::mysql-libs-8.3.0-hca2cd23_4
nbclient conda-forge/noarch::nbclient-0.10.0-pyhd8ed1ab_0
nbconvert-core conda-forge/noarch::nbconvert-core-7.16.3-pyhd8ed1ab_1
nbformat conda-forge/noarch::nbformat-5.10.4-pyhd8ed1ab_0
ncurses conda-forge/linux-64::ncurses-6.4.20240210-h59595ed_0
nest-asyncio conda-forge/noarch::nest-asyncio-1.6.0-pyhd8ed1ab_0
notebook conda-forge/noarch::notebook-7.1.3-pyhd8ed1ab_0
notebook-shim conda-forge/noarch::notebook-shim-0.2.4-pyhd8ed1ab_0
nspr conda-forge/linux-64::nspr-4.35-h27087fc_0
nss conda-forge/linux-64::nss-3.98-h1d7d5a4_0
numpy conda-forge/linux-64::numpy-1.26.4-py311h64a7726_0
openjpeg conda-forge/linux-64::openjpeg-2.5.2-h488ebb8_0
openssl conda-forge/linux-64::openssl-3.2.1-hd590300_1
overrides conda-forge/noarch::overrides-7.7.0-pyhd8ed1ab_0
packaging conda-forge/noarch::packaging-24.0-pyhd8ed1ab_0
pandocfilters conda-forge/noarch::pandocfilters-1.5.0-pyhd8ed1ab_0
parso conda-forge/noarch::parso-0.8.4-pyhd8ed1ab_0
pcre2 conda-forge/linux-64::pcre2-10.43-hcad00b1_0
pexpect conda-forge/noarch::pexpect-4.9.0-pyhd8ed1ab_0
pickleshare conda-forge/noarch::pickleshare-0.7.5-py_1003
pillow conda-forge/linux-64::pillow-10.3.0-py311h18e6fac_0
pip conda-forge/noarch::pip-24.0-pyhd8ed1ab_0
pixman conda-forge/linux-64::pixman-0.43.2-h59595ed_0
pkgutil-resolve-n~ conda-forge/noarch::pkgutil-resolve-name-1.3.10-pyhd8ed1ab_1
platformdirs conda-forge/noarch::platformdirs-4.2.0-pyhd8ed1ab_0
ply conda-forge/noarch::ply-3.11-pyhd8ed1ab_2
prometheus_client conda-forge/noarch::prometheus_client-0.20.0-pyhd8ed1ab_0
prompt-toolkit conda-forge/noarch::prompt-toolkit-3.0.42-pyha770c72_0
psutil conda-forge/linux-64::psutil-5.9.8-py311h459d7ec_0
pthread-stubs conda-forge/linux-64::pthread-stubs-0.4-h36c2ea0_1001
ptyprocess conda-forge/noarch::ptyprocess-0.7.0-pyhd3deb0d_0
pulseaudio-client conda-forge/linux-64::pulseaudio-client-17.0-hb77b528_0
pure_eval conda-forge/noarch::pure_eval-0.2.2-pyhd8ed1ab_0
pycparser conda-forge/noarch::pycparser-2.22-pyhd8ed1ab_0
pyerfa conda-forge/linux-64::pyerfa-2.0.1.4-py311h1f0f07a_0
pygments conda-forge/noarch::pygments-2.17.2-pyhd8ed1ab_0
pyparsing conda-forge/noarch::pyparsing-3.1.2-pyhd8ed1ab_0
pyqt conda-forge/linux-64::pyqt-5.15.9-py311hf0fb5b6_5
pyqt5-sip conda-forge/linux-64::pyqt5-sip-12.12.2-py311hb755f60_5
pysocks conda-forge/noarch::pysocks-1.7.1-pyha2e5f31_6
python conda-forge/linux-64::python-3.11.8-hab00c5b_0_cpython
python-dateutil conda-forge/noarch::python-dateutil-2.9.0-pyhd8ed1ab_0
python-fastjsonsc~ conda-forge/noarch::python-fastjsonschema-2.19.1-pyhd8ed1ab_0
python-json-logger conda-forge/noarch::python-json-logger-2.0.7-pyhd8ed1ab_0
python_abi conda-forge/linux-64::python_abi-3.11-4_cp311
pytz conda-forge/noarch::pytz-2024.1-pyhd8ed1ab_0
pyvo conda-forge/noarch::pyvo-1.5.1-pyhd8ed1ab_0
pyyaml conda-forge/linux-64::pyyaml-6.0.1-py311h459d7ec_1
pyzmq conda-forge/linux-64::pyzmq-26.0.0-py311h34ded2d_0
qt-main conda-forge/linux-64::qt-main-5.15.8-hc9dc06e_21
readline conda-forge/linux-64::readline-8.2-h8228510_1
referencing conda-forge/noarch::referencing-0.34.0-pyhd8ed1ab_0
requests conda-forge/noarch::requests-2.31.0-pyhd8ed1ab_0
rfc3339-validator conda-forge/noarch::rfc3339-validator-0.1.4-pyhd8ed1ab_0
rfc3986-validator conda-forge/noarch::rfc3986-validator-0.1.1-pyh9f0ad1d_0
rpds-py conda-forge/linux-64::rpds-py-0.18.0-py311h46250e7_0
secretstorage conda-forge/linux-64::secretstorage-3.3.3-py311h38be061_2
send2trash conda-forge/noarch::send2trash-1.8.3-pyh0d859eb_0
setuptools conda-forge/noarch::setuptools-69.5.1-pyhd8ed1ab_0
sip conda-forge/linux-64::sip-6.7.12-py311hb755f60_0
six conda-forge/noarch::six-1.16.0-pyh6c4a22f_0
sniffio conda-forge/noarch::sniffio-1.3.1-pyhd8ed1ab_0
soupsieve conda-forge/noarch::soupsieve-2.5-pyhd8ed1ab_1
stack_data conda-forge/noarch::stack_data-0.6.2-pyhd8ed1ab_0
terminado conda-forge/noarch::terminado-0.18.1-pyh0d859eb_0
tinycss2 conda-forge/noarch::tinycss2-1.2.1-pyhd8ed1ab_0
tk conda-forge/linux-64::tk-8.6.13-noxft_h4845f30_101
toml conda-forge/noarch::toml-0.10.2-pyhd8ed1ab_0
tomli conda-forge/noarch::tomli-2.0.1-pyhd8ed1ab_0
tornado conda-forge/linux-64::tornado-6.4-py311h459d7ec_0
traitlets conda-forge/noarch::traitlets-5.14.3-pyhd8ed1ab_0
types-python-date~ conda-forge/noarch::types-python-dateutil-2.9.0.20240316-pyhd8ed1ab_0
typing-extensions conda-forge/noarch::typing-extensions-4.11.0-hd8ed1ab_0
typing_extensions conda-forge/noarch::typing_extensions-4.11.0-pyha770c72_0
typing_utils conda-forge/noarch::typing_utils-0.1.0-pyhd8ed1ab_0
tzdata conda-forge/noarch::tzdata-2024a-h0c530f3_0
uri-template conda-forge/noarch::uri-template-1.3.0-pyhd8ed1ab_0
urllib3 conda-forge/noarch::urllib3-2.2.1-pyhd8ed1ab_0
wcwidth conda-forge/noarch::wcwidth-0.2.13-pyhd8ed1ab_0
webcolors conda-forge/noarch::webcolors-1.13-pyhd8ed1ab_0
webencodings conda-forge/noarch::webencodings-0.5.1-pyhd8ed1ab_2
websocket-client conda-forge/noarch::websocket-client-1.7.0-pyhd8ed1ab_0
wheel conda-forge/noarch::wheel-0.43.0-pyhd8ed1ab_1
xcb-util conda-forge/linux-64::xcb-util-0.4.0-hd590300_1
xcb-util-image conda-forge/linux-64::xcb-util-image-0.4.0-h8ee46fc_1
xcb-util-keysyms conda-forge/linux-64::xcb-util-keysyms-0.4.0-h8ee46fc_1
xcb-util-renderut~ conda-forge/linux-64::xcb-util-renderutil-0.3.9-hd590300_1
xcb-util-wm conda-forge/linux-64::xcb-util-wm-0.4.1-h8ee46fc_1
xkeyboard-config conda-forge/linux-64::xkeyboard-config-2.41-hd590300_0
xorg-kbproto conda-forge/linux-64::xorg-kbproto-1.0.7-h7f98852_1002
xorg-libice conda-forge/linux-64::xorg-libice-1.1.1-hd590300_0
xorg-libsm conda-forge/linux-64::xorg-libsm-1.2.4-h7391055_0
xorg-libx11 conda-forge/linux-64::xorg-libx11-1.8.9-h8ee46fc_0
xorg-libxau conda-forge/linux-64::xorg-libxau-1.0.11-hd590300_0
xorg-libxdmcp conda-forge/linux-64::xorg-libxdmcp-1.1.3-h7f98852_0
xorg-libxext conda-forge/linux-64::xorg-libxext-1.3.4-h0b41bf4_2
xorg-libxrender conda-forge/linux-64::xorg-libxrender-0.9.11-hd590300_0
xorg-renderproto conda-forge/linux-64::xorg-renderproto-0.11.1-h7f98852_1002
xorg-xextproto conda-forge/linux-64::xorg-xextproto-7.3.0-h0b41bf4_1003
xorg-xf86vidmodep~ conda-forge/linux-64::xorg-xf86vidmodeproto-2.3.1-h7f98852_1002
xorg-xproto conda-forge/linux-64::xorg-xproto-7.0.31-h7f98852_1007
xz conda-forge/linux-64::xz-5.2.6-h166bdaf_0
yaml conda-forge/linux-64::yaml-0.2.5-h7f98852_2
zeromq conda-forge/linux-64::zeromq-4.3.5-h59595ed_1
zipp conda-forge/noarch::zipp-3.17.0-pyhd8ed1ab_0
zlib conda-forge/linux-64::zlib-1.2.13-hd590300_5
zstd conda-forge/linux-64::zstd-1.5.5-hfc55251_0
Proceed ([y]/n)?
Downloading and Extracting Packages:
qt-main-5.15.8 | 58.5 MB | | 0%
pillow-10.3.0 | 40.6 MB | | 0%
libllvm18-18.1.3 | 36.6 MB | | 0%
libllvm15-15.0.7 | 31.8 MB | | 0%
python-3.11.8 | 29.3 MB | | 0%
libclang-cpp15-15.0. | 16.4 MB | | 0%
icu-73.2 | 11.5 MB | | 0%
libclang13-18.1.3 | 10.5 MB | | 0%
astropy-6.0.1 | 9.1 MB | | 0%
numpy-1.26.4 | 7.7 MB | | 0%
matplotlib-base-3.8. | 7.4 MB | | 0%
jupyterlab-4.1.6 | 7.3 MB | | 0%
babel-2.14.0 | 7.3 MB | | 0%
libopenblas-0.3.27 | 5.3 MB | | 0%
pyqt-5.15.9 | 5.1 MB | | 0%
libcups-2.3.3 | 4.3 MB | | 0%
notebook-7.1.3 | 3.8 MB | | 0%
astroquery-0.4.7 | 3.8 MB | | 0%
libglib-2.80.0 | 3.7 MB | | 0%
libstdcxx-ng-13.2.0 | 3.7 MB | | 0%
tk-8.6.13 | 3.2 MB | | 0%
openssl-3.2.1 | 2.7 MB | | 0%
fonttools-4.51.0 | 2.7 MB | | 0%
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qt-main-5.15.8 | 58.5 MB | | 0%
pillow-10.3.0 | 40.6 MB | | 0%
libllvm18-18.1.3 | 36.6 MB | | 0%
python-3.11.8 | 29.3 MB | | 0%
libllvm15-15.0.7 | 31.8 MB | | 0%
qt-main-5.15.8 | 58.5 MB | ##6 | 7%
pillow-10.3.0 | 40.6 MB | ####4 | 12%
libllvm18-18.1.3 | 36.6 MB | ###1 | 9%
python-3.11.8 | 29.3 MB | ##### | 14%
libllvm15-15.0.7 | 31.8 MB | ####8 | 13%
qt-main-5.15.8 | 58.5 MB | #####4 | 15%
pillow-10.3.0 | 40.6 MB | ########2 | 22%
libllvm18-18.1.3 | 36.6 MB | #######6 | 21%
python-3.11.8 | 29.3 MB | ##########2 | 28%
libllvm15-15.0.7 | 31.8 MB | #########7 | 26%
qt-main-5.15.8 | 58.5 MB | ########1 | 22%
pillow-10.3.0 | 40.6 MB | ############3 | 33%
libllvm18-18.1.3 | 36.6 MB | ###########2 | 30%
python-3.11.8 | 29.3 MB | ###############6 | 42%
libllvm15-15.0.7 | 31.8 MB | ##############8 | 40%
qt-main-5.15.8 | 58.5 MB | ##########6 | 29%
pillow-10.3.0 | 40.6 MB | ################1 | 44%
libllvm18-18.1.3 | 36.6 MB | ###############7 | 43%
python-3.11.8 | 29.3 MB | #####################4 | 58%
libllvm15-15.0.7 | 31.8 MB | ###################5 | 53%
qt-main-5.15.8 | 58.5 MB | #############4 | 36%
pillow-10.3.0 | 40.6 MB | #################### | 54%
libllvm18-18.1.3 | 36.6 MB | ####################3 | 55%
python-3.11.8 | 29.3 MB | ########################### | 73%
libllvm15-15.0.7 | 31.8 MB | ########################4 | 66%
qt-main-5.15.8 | 58.5 MB | ################1 | 44%
pillow-10.3.0 | 40.6 MB | ######################## | 65%
libllvm18-18.1.3 | 36.6 MB | ########################7 | 67%
python-3.11.8 | 29.3 MB | ################################6 | 88%
libllvm15-15.0.7 | 31.8 MB | #############################5 | 80%
qt-main-5.15.8 | 58.5 MB | ##################8 | 51%
pillow-10.3.0 | 40.6 MB | ###########################9 | 75%
libllvm18-18.1.3 | 36.6 MB | #############################1 | 79%
libllvm15-15.0.7 | 31.8 MB | ##################################8 | 94%
qt-main-5.15.8 | 58.5 MB | ######################2 | 60%
pillow-10.3.0 | 40.6 MB | ################################5 | 88%
libllvm18-18.1.3 | 36.6 MB | ##################################1 | 92%
qt-main-5.15.8 | 58.5 MB | ##########################1 | 71%
qt-main-5.15.8 | 58.5 MB | ###############################4 | 85%
libclang-cpp15-15.0. | 16.4 MB | | 0%
qt-main-5.15.8 | 58.5 MB | ####################################9 | 100%
libclang-cpp15-15.0. | 16.4 MB | ########### | 30%
icu-73.2 | 11.5 MB | | 0%
libclang-cpp15-15.0. | 16.4 MB | ####################8 | 56%
icu-73.2 | 11.5 MB | ##############4 | 39%
libclang13-18.1.3 | 10.5 MB | | 0%
libclang-cpp15-15.0. | 16.4 MB | ############################8 | 78%
icu-73.2 | 11.5 MB | ########################7 | 67%
libclang13-18.1.3 | 10.5 MB | ###########1 | 30%
icu-73.2 | 11.5 MB | ##################################5 | 94%
libclang-cpp15-15.0. | 16.4 MB | ####################################6 | 99%
astropy-6.0.1 | 9.1 MB | | 0%
libclang13-18.1.3 | 10.5 MB | ######################5 | 61%
astropy-6.0.1 | 9.1 MB | ################4 | 44%
libclang13-18.1.3 | 10.5 MB | ###################################1 | 95%
astropy-6.0.1 | 9.1 MB | #################################1 | 90%
numpy-1.26.4 | 7.7 MB | | 0%
jupyterlab-4.1.6 | 7.3 MB | | 0%
matplotlib-base-3.8. | 7.4 MB | | 0%
babel-2.14.0 | 7.3 MB | | 0%
numpy-1.26.4 | 7.7 MB | ###################8 | 54%
jupyterlab-4.1.6 | 7.3 MB | ################6 | 45%
matplotlib-base-3.8. | 7.4 MB | ################7 | 45%
babel-2.14.0 | 7.3 MB | ###################2 | 52%
numpy-1.26.4 | 7.7 MB | ###################################3 | 95%
jupyterlab-4.1.6 | 7.3 MB | #################################1 | 89%
matplotlib-base-3.8. | 7.4 MB | ################################# | 89%
libopenblas-0.3.27 | 5.3 MB | 1 | 0%
pyqt-5.15.9 | 5.1 MB | 1 | 0%
libcups-2.3.3 | 4.3 MB | 1 | 0%
notebook-7.1.3 | 3.8 MB | 1 | 0%
astroquery-0.4.7 | 3.8 MB | 1 | 0%
libopenblas-0.3.27 | 5.3 MB | ####################1 | 54%
pyqt-5.15.9 | 5.1 MB | ####################5 | 55%
libcups-2.3.3 | 4.3 MB | #########################4 | 69%
notebook-7.1.3 | 3.8 MB | ############################# | 78%
astroquery-0.4.7 | 3.8 MB | ############################4 | 77%
libglib-2.80.0 | 3.7 MB | 1 | 0%
libstdcxx-ng-13.2.0 | 3.7 MB | 1 | 0%
tk-8.6.13 | 3.2 MB | 1 | 0%
fonttools-4.51.0 | 2.7 MB | 2 | 1%
openssl-3.2.1 | 2.7 MB | 2 | 1%
libglib-2.80.0 | 3.7 MB | #############################4 | 80%
libstdcxx-ng-13.2.0 | 3.7 MB | ##################################3 | 93%
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libllvm15-15.0.7 | 31.8 MB | ##################################### | 100%
libllvm18-18.1.3 | 36.6 MB | ##################################### | 100%
icu-73.2 | 11.5 MB | ##################################### | 100%
python-3.11.8 | 29.3 MB | ##################################### | 100%
libclang13-18.1.3 | 10.5 MB | ##################################### | 100%
pillow-10.3.0 | 40.6 MB | ##################################### | 100%
pillow-10.3.0 | 40.6 MB | ##################################### | 100%
libclang-cpp15-15.0. | 16.4 MB | ##################################### | 100%
numpy-1.26.4 | 7.7 MB | ##################################### | 100%
astropy-6.0.1 | 9.1 MB | ##################################### | 100%
matplotlib-base-3.8. | 7.4 MB | ##################################### | 100%
jupyterlab-4.1.6 | 7.3 MB | ##################################### | 100%
notebook-7.1.3 | 3.8 MB | ##################################### | 100%
babel-2.14.0 | 7.3 MB | ##################################### | 100%
babel-2.14.0 | 7.3 MB | ##################################### | 100%
libcups-2.3.3 | 4.3 MB | ##################################### | 100%
astroquery-0.4.7 | 3.8 MB | ##################################### | 100%
libopenblas-0.3.27 | 5.3 MB | ##################################### | 100%
libopenblas-0.3.27 | 5.3 MB | ##################################### | 100%
pyqt-5.15.9 | 5.1 MB | ##################################### | 100%
pyqt-5.15.9 | 5.1 MB | ##################################### | 100%
openssl-3.2.1 | 2.7 MB | ##################################### | 100%
openssl-3.2.1 | 2.7 MB | ##################################### | 100%
fonttools-4.51.0 | 2.7 MB | ##################################### | 100%
fonttools-4.51.0 | 2.7 MB | ##################################### | 100%
libstdcxx-ng-13.2.0 | 3.7 MB | ##################################### | 100%
tk-8.6.13 | 3.2 MB | ##################################### | 100%
tk-8.6.13 | 3.2 MB | ##################################### | 100%
libglib-2.80.0 | 3.7 MB | ##################################### | 100%
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#
# To activate this environment, use
#
# $ conda activate hasp-env
#
# To deactivate an active environment, use
#
# $ conda deactivate
yes: standard output: Broken pipe
We also downloaded some additional packages that we will need outside of the HASP script to analyze the data. Once we activate the conda environment, as seen below, we can download the HASP script and run it. Note that you should run this in a terminal rather than in the cell below. Depending on your shell and operating system settings, you may need to restart your Jupyter notebook application in order for your environment to be fully activated in your notebook.
!conda activate hasp-env
CondaError: Run 'conda init' before 'conda activate'
Now that we created and activated a conda environment, we can now begin to download the HASP code.
2. Downloading and Installing the HASP Script#
We will download the HASP wrapper script from the HASP Github repository. Downloading this script will create a hasp directory, which will contain all of the required code.
You will only have to run one of the two options below, depending on your computer and Git settings.
Option A, using pip:#
pip install clones the reposoitory and install the packages according to the setup configuration of the repository. You may need to create a Personal Access Token (PAT) to use instead of your Github account’s password, since support for password authentication was removed in 2021. You can learn how to create a PAT here.
pip install git+https://github.com/spacetelescope/hasp.git
Option B, using git clone:#
While git clone still downloads the repository, it differs from pip in that it also downloads all of the history and files of the repository. If you have a password-protected SSH key, rather than a PAT, you can clone the repo by running the following code in your terminal. If you want to setup a SSH key, you can learn how to do so here.
git clone git@github.com:spacetelescope/hasp.git
After you’ve downloaded the code using Options A or B, run the command below to download the script’s dependencies:#
!pip install ./hasp/.
ERROR: Invalid requirement: './hasp/.'
Hint: It looks like a path. File './hasp/.' does not exist.
This will install additional dependencies using the pyproject.toml file.
To run the wrapper, We only need to download the following COS and/or STIS files:
X1D - the one-dimensional extracted product spectra.
SX1 - the one-dimensional extracted spectra from combined or cosmic-ray rejected images. This file is only produced with STIS data.
Make sure that all of these files, for every spectra you wish to abut, are in the same directory. The script will only co-add the files within this directory.
3. Running the Co-add Script#
3.1 Running the Script#
Now that we have the wrapper installed, we can now run the co-add script.
Command-line Option |
Value |
|---|---|
|
The path to the directory that contains the data to be co-added (required) |
|
The path to the directory that will contain the newly co-added products** (required) |
|
The threshold for flux-based filtering (optional) |
|
The maximum SNR for flux-based filtering (optional) |
|
Disable keyword based filtering (except for STIS PRISM data, which is always filtered) (optional) |
**Note: If you wish to exclude certain data files from the co-add, you can just remove them from your input directory before you run the script.
To finally run the script, open your terminal, activate your conda environment, and run:
swrapper -i <YOUR_DATA_DIR> -o <YOUR_PRODUCT_DIR>
You should now have created the co-added spectra for your desired program.
3.2 Understanding the Output Files#
The script produces multiple different files with abutted spectra. Currently, the script outputs abutted products for a single program. It first creates co-added spectra for each grating of a single observation set:
hst_programID_instrument_targetname_grating_obset_cspec.fits
It then co-adds the spectra of all gratings for a single observation set:
hst_programID_instrument_targetname_allGratings_obset_cspec.fits
Finally, it co-adds all abutted observation sets’ spectra to create a final co-added product for a single target:
hst_programID_instrument_targetname_allGratings_cspec.fits
An example of this will be below. These filenames are the output files for a STIS GD71 dataset that is co-added in the CoaddTutorial.ipynb notebook example. Here, the programID is 7656, the instrument is STIS, and the targetname is gd71.
Step |
Filename |
Description |
|---|---|---|
1 |
|
Co-adding all |
2 |
|
Co-adding all observations taken at every grating for the observation set, |
3 |
|
Co-adding all GD71 observations at each grating for this program, |
Note: HST file naming conventions use a combination of three letters and/or numbers to have a unique association between a PI’s proposal ID and program ID, meaning that o4a5 at the end of hst_7656_stis_gd71_g140l-g230l-g430l-g750l_o4a5_cspec.fits is essentially the program ID for our example. Check out more information on the MAST HST file naming convention page
About this Notebook#
Author: Sierra Gomez (sigomez@stsci.edu)
Updated on: 12/04/2023
This tutorial was generated to be in compliance with the STScI style guides and would like to cite the Jupyter guide in particular.
