I have been looking for a rough number for the time spent in on-sky observations by each of the ugrizy filters. I had a look at the simulation “baseline_v4.0_10yrs.db” but found only 100 rows in the file with half of them being on the r filter and half on the g filter. It took a long time to download the db file, so I was not expecting it to be so small. I noticed that there was a place to enter a password and thought that maybe I did not have access to the full db file. I’m not looking for a precise number which I suspect will change over time, but at least an order of magnitude for the average.
Hi @sdcorle1, thank you for your post. As a clarification, would you mind indicating where you obtained that file and where a password was requested?
In addition, are you asking for the planned exposure time per filter per exposure, or for the total aggregated time per filter at the end of the 10-year survey?
Thank you!
Andres,
- I got the sim from https://s3df.slac.stanford.edu/data/rubin/sim-data/sims_featureScheduler_runs4.0/baseline/baseline_v4.0_10yrs.db. I displayed it using Visual Table, which may be the answer to the password prompt. I was able to see the 100 rows in the table without entering a password, so maybe that is just a part of the Visual Table application.
- I’m not looking for specific planning information, so the aggregated time per filter would be great.
Thanks,
Suber
Hi Suber,
We have lots of plots and stats for all survey simulations at: https://usdf-maf.slac.stanford.edu/
To answer your specific question, the median number of visits for a point inside the survey area in ugrizy goes 52, 63, 168, 170, 152, 151 respectively. Those are for 2x15 second snaps in grizy, and 1x39 second in u.
1 Like
FWIW, it’s likely that Visual Table was the source for the password prompt (there shouldn’t have been anything on the USDF download).
Occasionally downloading from USDF does seem to take exceedingly long; at other times, it’s much quicker. We haven’t been able to determine the source of the problem, although we’ve asked USDF IT support about it.
There ought to be on the order of 2M row in the “observations” table of that database file however, so either Visual Table truncated it for you or the download was corrupted somehow.
Peter’s link to https://usdf-maf.slac.stanford.edu does have quite a few plots that may be relevant to some of your recent questions, and I also know there is quite a lot of content there so it can be easy to miss, so i’ll highlight a couple of particular metrics (from the v4.0 simulation):
- Total number of visits on-sky 2038634 (although with a variety of exposure times on-sky, depending on filter and occasionally on survey-type)
- Number of visits per filter per point on the sky including some summary values across the sky (such as the 52, 63, 168, 170, 152, 151 values Peter included above)
- Coadded depth per filter per point on the sky
- Individual image depth per filter per point on the sky including the max/median/min values at each point
- Saturation magnitude estimates per filter per point on the sky including the max/median/min values at each point, the variance primarily comes from the variation in seeing and airmass in each visit
Given some previous questions you’ve asked in the forum, I am wondering if more information about the framework that we use to produce those plots above would be helpful? It’s an extensible tool called MAF that is intended to allow users to more easily write new metrics to evaluate how their science area might be represented with Rubin survey data – the user only has to write the metric evaluating “provided the visits and information about those visits that overlap a given point on the sky, what would I find?”, while the framework takes care of determining what visits would overlap that particular point and delivering the information about those visits such as airmass, depth, seeing, filter, etc. More documentation on MAF is available in the rubin-sim.lsst.io MAF module docs online.
1 Like
Peter @yoachim , Lynne @ljones , thanks very much for this information and for your analysis of the likely reasons for my results.
@ljones @yoachim I have attached my console log as I have attempted to load Rubin_sim onto my Mac M1. I have been through the Installation and Data Download instructions many times this week-end and I end up at the same place each time. For this most recent run, I downloaded and reloaded miniconda from scratch.
The penultimate line in the console log is : ModuleNotFoundError: No module named ‘rubin_scheduler’
This is where I have always ended up. Rubin_sim is in my base directory along with the “data” sub-folder which contains rs_download_data but there is no trace anywhere of “rubin_scheduler”. I have chatted with ChatGPT over the issue and followed several suggestions, but the end-results have not changed so far.
I know that it is not your job to hold my hand on this, but I’m hoping that you might have run across this issue before.
Thanks, in any case.
Suber
Last login: Sun Feb 9 15:21:32 on ttys000
The default interactive shell is now zsh.
To update your account to use zsh, please run chsh -s /bin/zsh.
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(base) iMac:~ subercorley$ git clone git@github.com:lsst/rubin_sim.git
fatal: destination path ‘rubin_sim’ already exists and is not an empty directory.
(base) iMac:~ subercorley$ cd rubin_sim
(base) iMac:rubin_sim subercorley$ conda create --channel conda-forge --name rubin-sim --file requirements.txt python=3.11
Channels:
- conda-forge
- defaults
Platform: osx-arm64
Collecting package metadata (repodata.json): done
Solving environment: done
Package Plan
environment location: /Users/subercorley/miniconda3/envs/rubin-sim
added / updated specs:
- astroplan
- astropy
- colorcet
- cycler
- george
- h5py
- healpy
- jinja2
- matplotlib
- numexpr
- numpy
- pandas
- pyarrow
- pytables
- python=3.11
- rubin-scheduler
- scikit-learn
- scipy
- setuptools_scm
- setuptools_scm_git_archive
- shapely
- skyfield
- skyproj
- sqlalchemy
- tornado
- tqdm
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simdjson-3.11.6 | ha393de7_0 202 KB conda-forge
six-1.17.0 | pyhd8ed1ab_0 16 KB conda-forge
skyfield-1.49 | pyhff2d567_0 289 KB conda-forge
skyproj-2.0.0 | pyh2cfa8aa_0 3.2 MB conda-forge
smmap-5.0.0 | pyhd8ed1ab_0 22 KB conda-forge
snappy-1.2.1 | h98b9ce2_1 35 KB conda-forge
sortedcontainers-2.4.0 | pyhd8ed1ab_1 28 KB conda-forge
soupsieve-2.5 | pyhd8ed1ab_1 36 KB conda-forge
spdlog-1.15.1 | hed1c2b2_0 159 KB conda-forge
sqlalchemy-2.0.38 | py311h917b07b_0 3.4 MB conda-forge
sqlite-3.48.0 | hd7222ec_1 838 KB conda-forge
stack_data-0.6.3 | pyhd8ed1ab_1 26 KB conda-forge
threadpoolctl-3.5.0 | pyhc1e730c_0 23 KB conda-forge
tk-8.6.13 | h5083fa2_1 3.0 MB conda-forge
tomli-2.2.1 | pyhd8ed1ab_1 19 KB conda-forge
toolz-1.0.0 | pyhd8ed1ab_1 51 KB conda-forge
tornado-6.4.2 | py311h917b07b_0 839 KB conda-forge
tqdm-4.67.1 | pyhd8ed1ab_1 87 KB conda-forge
traitlets-5.14.3 | pyhd8ed1ab_1 107 KB conda-forge
traittypes-0.2.1 | pyh9f0ad1d_2 10 KB conda-forge
truststore-0.10.1 | pyh29332c3_0 23 KB conda-forge
typing-extensions-4.12.2 | hd8ed1ab_1 10 KB conda-forge
typing_extensions-4.12.2 | pyha770c72_1 39 KB conda-forge
tzdata-2025a | h78e105d_0 120 KB conda-forge
unicodedata2-16.0.0 | py311h917b07b_0 402 KB conda-forge
urllib3-2.3.0 | pyhd8ed1ab_0 98 KB conda-forge
wcwidth-0.2.13 | pyhd8ed1ab_1 32 KB conda-forge
webencodings-0.5.1 | pyhd8ed1ab_3 15 KB conda-forge
wheel-0.45.1 | pyhd8ed1ab_1 61 KB conda-forge
widgetsnbextension-4.0.13 | pyhd8ed1ab_1 877 KB conda-forge
wrapt-1.17.2 | py311h917b07b_0 61 KB conda-forge
xorg-libxau-1.0.12 | h5505292_0 13 KB conda-forge
xorg-libxdmcp-1.1.5 | hd74edd7_0 18 KB conda-forge
yaml-0.2.5 | h3422bc3_2 86 KB conda-forge
yaml-cpp-0.8.0 | h13dd4ca_0 127 KB conda-forge
yarl-1.18.3 | py311h4921393_1 142 KB conda-forge
zeromq-4.3.5 | hc1bb282_7 275 KB conda-forge
zipp-3.21.0 | pyhd8ed1ab_1 21 KB conda-forge
zlib-1.3.1 | h8359307_2 76 KB conda-forge
zlib-ng-2.2.3 | h13dfb9a_0 85 KB conda-forge
zstandard-0.23.0 | py311ha60cc69_1 324 KB conda-forge
zstd-1.5.6 | hb46c0d2_0 396 KB conda-forge
------------------------------------------------------------
Total: 241.6 MB
The following NEW packages will be INSTALLED:
aiobotocore conda-forge/noarch::aiobotocore-2.19.0-pyhd8ed1ab_1
aiohappyeyeballs conda-forge/noarch::aiohappyeyeballs-2.4.4-pyhd8ed1ab_1
aiohttp conda-forge/osx-arm64::aiohttp-3.11.12-py311h4921393_0
aioitertools conda-forge/noarch::aioitertools-0.12.0-pyhd8ed1ab_1
aiosignal conda-forge/noarch::aiosignal-1.3.2-pyhd8ed1ab_0
appnope conda-forge/noarch::appnope-0.1.4-pyhd8ed1ab_1
archspec conda-forge/noarch::archspec-0.2.5-pyhd8ed1ab_0
astroplan conda-forge/noarch::astroplan-0.10.1-pyhd8ed1ab_2
astropy conda-forge/noarch::astropy-7.0.1-pyhd8ed1ab_0
astropy-base conda-forge/osx-arm64::astropy-base-7.0.1-py311h5e5ef3f_0
astropy-iers-data conda-forge/noarch::astropy-iers-data-0.2025.2.3.0.32.42-pyhd8ed1ab_0
asttokens conda-forge/noarch::asttokens-3.0.0-pyhd8ed1ab_1
attrs conda-forge/noarch::attrs-25.1.0-pyh71513ae_0
aws-c-auth conda-forge/osx-arm64::aws-c-auth-0.8.1-hfc2798a_0
aws-c-cal conda-forge/osx-arm64::aws-c-cal-0.8.1-hc8a0bd2_3
aws-c-common conda-forge/osx-arm64::aws-c-common-0.10.6-h5505292_0
aws-c-compression conda-forge/osx-arm64::aws-c-compression-0.3.0-hc8a0bd2_5
aws-c-event-stream conda-forge/osx-arm64::aws-c-event-stream-0.5.0-h54f970a_11
aws-c-http conda-forge/osx-arm64::aws-c-http-0.9.2-h96aa502_4
aws-c-io conda-forge/osx-arm64::aws-c-io-0.15.3-haba67d1_6
aws-c-mqtt conda-forge/osx-arm64::aws-c-mqtt-0.11.0-h24f418c_12
aws-c-s3 conda-forge/osx-arm64::aws-c-s3-0.7.9-hf37e03c_1
aws-c-sdkutils conda-forge/osx-arm64::aws-c-sdkutils-0.2.2-hc8a0bd2_0
aws-checksums conda-forge/osx-arm64::aws-checksums-0.2.2-hc8a0bd2_4
aws-crt-cpp conda-forge/osx-arm64::aws-crt-cpp-0.29.9-ha81f72f_2
aws-sdk-cpp conda-forge/osx-arm64::aws-sdk-cpp-1.11.489-h0e5014b_0
azure-core-cpp conda-forge/osx-arm64::azure-core-cpp-1.14.0-hd50102c_0
azure-identity-cpp conda-forge/osx-arm64::azure-identity-cpp-1.10.0-hc602bab_0
azure-storage-blo~ conda-forge/osx-arm64::azure-storage-blobs-cpp-12.13.0-h7585a09_1
azure-storage-com~ conda-forge/osx-arm64::azure-storage-common-cpp-12.8.0-h9ca1f76_1
azure-storage-fil~ conda-forge/osx-arm64::azure-storage-files-datalake-cpp-12.12.0-hcdd55da_1
beautifulsoup4 conda-forge/noarch::beautifulsoup4-4.13.3-pyha770c72_0
bleach conda-forge/noarch::bleach-6.2.0-pyh29332c3_4
blosc conda-forge/osx-arm64::blosc-1.21.6-h7dd00d9_1
boltons conda-forge/noarch::boltons-24.0.0-pyhd8ed1ab_1
botocore conda-forge/noarch::botocore-1.36.3-pyge310_1234567_0
bottleneck conda-forge/osx-arm64::bottleneck-1.4.2-py311ha7f2236_0
bqplot conda-forge/noarch::bqplot-0.12.43-pyhd8ed1ab_1
brotli conda-forge/osx-arm64::brotli-1.1.0-hd74edd7_2
brotli-bin conda-forge/osx-arm64::brotli-bin-1.1.0-hd74edd7_2
brotli-python conda-forge/osx-arm64::brotli-python-1.1.0-py311h3f08180_2
bzip2 conda-forge/osx-arm64::bzip2-1.0.8-h99b78c6_7
c-ares conda-forge/osx-arm64::c-ares-1.34.4-h5505292_0
c-blosc2 conda-forge/osx-arm64::c-blosc2-2.15.2-h9cbb436_1
ca-certificates conda-forge/osx-arm64::ca-certificates-2025.1.31-hf0a4a13_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
certifi conda-forge/noarch::certifi-2024.12.14-pyhd8ed1ab_0
cffi conda-forge/osx-arm64::cffi-1.17.1-py311h3a79f62_0
cfitsio conda-forge/osx-arm64::cfitsio-4.5.0-hc017baa_0
charset-normalizer conda-forge/noarch::charset-normalizer-3.4.1-pyhd8ed1ab_0
click conda-forge/noarch::click-8.1.8-pyh707e725_0
cloudpickle conda-forge/noarch::cloudpickle-3.1.1-pyhd8ed1ab_0
colorama conda-forge/noarch::colorama-0.4.6-pyhd8ed1ab_1
colorcet conda-forge/noarch::colorcet-3.1.0-pyhd8ed1ab_1
comm conda-forge/noarch::comm-0.2.2-pyhd8ed1ab_1
conda conda-forge/osx-arm64::conda-25.1.1-py311h267d04e_0
conda-libmamba-so~ conda-forge/noarch::conda-libmamba-solver-25.1.1-pyhd8ed1ab_0
conda-package-han~ conda-forge/noarch::conda-package-handling-2.4.0-pyh7900ff3_2
conda-package-str~ conda-forge/noarch::conda-package-streaming-0.11.0-pyhd8ed1ab_0
contourpy conda-forge/osx-arm64::contourpy-1.3.1-py311h210dab8_0
cpp-expected conda-forge/osx-arm64::cpp-expected-1.1.0-hffc8910_0
cycler conda-forge/noarch::cycler-0.12.1-pyhd8ed1ab_1
dask-core conda-forge/noarch::dask-core-2025.1.0-pyhd8ed1ab_0
debugpy conda-forge/osx-arm64::debugpy-1.8.12-py311h155a34a_0
decorator conda-forge/noarch::decorator-5.1.1-pyhd8ed1ab_1
distro conda-forge/noarch::distro-1.9.0-pyhd8ed1ab_1
exceptiongroup conda-forge/noarch::exceptiongroup-1.2.2-pyhd8ed1ab_1
executing conda-forge/noarch::executing-2.1.0-pyhd8ed1ab_1
fmt conda-forge/osx-arm64::fmt-11.0.2-h420ef59_0
fonttools conda-forge/osx-arm64::fonttools-4.56.0-py311h4921393_0
freetype conda-forge/osx-arm64::freetype-2.12.1-hadb7bae_2
frozendict conda-forge/osx-arm64::frozendict-2.4.6-py311hae2e1ce_0
frozenlist conda-forge/osx-arm64::frozenlist-1.5.0-py311h4921393_1
fsspec conda-forge/noarch::fsspec-2025.2.0-pyhd8ed1ab_0
gast conda-forge/noarch::gast-0.4.0-pyh9f0ad1d_0
george conda-forge/osx-arm64::george-0.4.3-py311h2c37856_1
geos conda-forge/osx-arm64::geos-3.13.0-hf9b8971_0
gflags conda-forge/osx-arm64::gflags-2.2.2-hf9b8971_1005
gitdb conda-forge/noarch::gitdb-4.0.12-pyhd8ed1ab_0
gitpython conda-forge/noarch::gitpython-3.1.44-pyhff2d567_0
glog conda-forge/osx-arm64::glog-0.7.1-heb240a5_0
greenlet conda-forge/osx-arm64::greenlet-3.1.1-py311h155a34a_1
h2 conda-forge/noarch::h2-4.2.0-pyhd8ed1ab_0
h5py conda-forge/osx-arm64::h5py-3.12.1-nompi_py311h5dd25b7_103
hdf5 conda-forge/osx-arm64::hdf5-1.14.4-nompi_ha698983_105
healpy conda-forge/osx-arm64::healpy-1.18.0-py311heb8ac0d_2
healsparse conda-forge/noarch::healsparse-1.10.1-pyhd8ed1ab_1
hpack conda-forge/noarch::hpack-4.1.0-pyhd8ed1ab_0
hpgeom conda-forge/osx-arm64::hpgeom-1.4.0-py311h0f07fe1_0
html5lib conda-forge/noarch::html5lib-1.1-pyhd8ed1ab_2
hyperframe conda-forge/noarch::hyperframe-6.1.0-pyhd8ed1ab_0
icu conda-forge/osx-arm64::icu-75.1-hfee45f7_0
idna conda-forge/noarch::idna-3.10-pyhd8ed1ab_1
importlib-metadata conda-forge/noarch::importlib-metadata-8.6.1-pyha770c72_0
ipydatagrid conda-forge/noarch::ipydatagrid-1.4.0-pyhd8ed1ab_1
ipykernel conda-forge/noarch::ipykernel-6.29.5-pyh57ce528_0
ipython conda-forge/noarch::ipython-8.32.0-pyh907856f_0
ipywidgets conda-forge/noarch::ipywidgets-8.1.5-pyhd8ed1ab_1
jedi conda-forge/noarch::jedi-0.19.2-pyhd8ed1ab_1
jinja2 conda-forge/noarch::jinja2-3.1.5-pyhd8ed1ab_0
jmespath conda-forge/noarch::jmespath-1.0.1-pyhd8ed1ab_1
joblib conda-forge/noarch::joblib-1.4.2-pyhd8ed1ab_1
jplephem conda-forge/noarch::jplephem-2.21-pyh9b8db34_1
jsonpatch conda-forge/noarch::jsonpatch-1.33-pyhd8ed1ab_1
jsonpointer conda-forge/osx-arm64::jsonpointer-3.0.0-py311h267d04e_1
jupyter_client conda-forge/noarch::jupyter_client-8.6.3-pyhd8ed1ab_1
jupyter_core conda-forge/noarch::jupyter_core-5.7.2-pyh31011fe_1
jupyterlab_widgets conda-forge/noarch::jupyterlab_widgets-3.0.13-pyhd8ed1ab_1
kiwisolver conda-forge/osx-arm64::kiwisolver-1.4.7-py311h2c37856_0
krb5 conda-forge/osx-arm64::krb5-1.21.3-h237132a_0
lcms2 conda-forge/osx-arm64::lcms2-2.16-ha0e7c42_0
lerc conda-forge/osx-arm64::lerc-4.0.0-h9a09cb3_0
libabseil conda-forge/osx-arm64::libabseil-20240722.0-cxx17_h07bc746_4
libaec conda-forge/osx-arm64::libaec-1.1.3-hebf3989_0
libarchive conda-forge/osx-arm64::libarchive-3.7.7-h3b16cec_3
libarrow conda-forge/osx-arm64::libarrow-19.0.0-h819e3af_8_cpu
libarrow-acero conda-forge/osx-arm64::libarrow-acero-19.0.0-hf07054f_8_cpu
libarrow-dataset conda-forge/osx-arm64::libarrow-dataset-19.0.0-hf07054f_8_cpu
libarrow-substrait conda-forge/osx-arm64::libarrow-substrait-19.0.0-h4239455_8_cpu
libblas conda-forge/osx-arm64::libblas-3.9.0-28_h10e41b3_openblas
libbrotlicommon conda-forge/osx-arm64::libbrotlicommon-1.1.0-hd74edd7_2
libbrotlidec conda-forge/osx-arm64::libbrotlidec-1.1.0-hd74edd7_2
libbrotlienc conda-forge/osx-arm64::libbrotlienc-1.1.0-hd74edd7_2
libcblas conda-forge/osx-arm64::libcblas-3.9.0-28_hb3479ef_openblas
libcrc32c conda-forge/osx-arm64::libcrc32c-1.1.2-hbdafb3b_0
libcurl conda-forge/osx-arm64::libcurl-8.11.1-h73640d1_0
libcxx conda-forge/osx-arm64::libcxx-19.1.7-ha82da77_0
libdeflate conda-forge/osx-arm64::libdeflate-1.23-hec38601_0
libedit conda-forge/osx-arm64::libedit-3.1.20250104-pl5321hafb1f1b_0
libev conda-forge/osx-arm64::libev-4.33-h93a5062_2
libevent conda-forge/osx-arm64::libevent-2.1.12-h2757513_1
libexpat conda-forge/osx-arm64::libexpat-2.6.4-h286801f_0
libffi conda-forge/osx-arm64::libffi-3.4.2-h3422bc3_5
libgfortran conda-forge/osx-arm64::libgfortran-5.0.0-13_2_0_hd922786_3
libgfortran5 conda-forge/osx-arm64::libgfortran5-13.2.0-hf226fd6_3
libgoogle-cloud conda-forge/osx-arm64::libgoogle-cloud-2.34.0-hdbe95d5_0
libgoogle-cloud-s~ conda-forge/osx-arm64::libgoogle-cloud-storage-2.34.0-h7081f7f_0
libgrpc conda-forge/osx-arm64::libgrpc-1.67.1-h0a426d6_1
libiconv conda-forge/osx-arm64::libiconv-1.17-h0d3ecfb_2
libjpeg-turbo conda-forge/osx-arm64::libjpeg-turbo-3.0.0-hb547adb_1
liblapack conda-forge/osx-arm64::liblapack-3.9.0-28_hc9a63f6_openblas
liblzma conda-forge/osx-arm64::liblzma-5.6.4-h39f12f2_0
libmamba conda-forge/osx-arm64::libmamba-2.0.5-hdf44a08_1
libmambapy conda-forge/osx-arm64::libmambapy-2.0.5-py311hf36a740_1
libnghttp2 conda-forge/osx-arm64::libnghttp2-1.64.0-h6d7220d_0
libopenblas conda-forge/osx-arm64::libopenblas-0.3.28-openmp_hf332438_1
libopentelemetry-~ conda-forge/osx-arm64::libopentelemetry-cpp-1.18.0-h0c05b2d_1
libopentelemetry-~ conda-forge/osx-arm64::libopentelemetry-cpp-headers-1.18.0-hce30654_1
libparquet conda-forge/osx-arm64::libparquet-19.0.0-h636d7b7_8_cpu
libpng conda-forge/osx-arm64::libpng-1.6.46-h3783ad8_0
libprotobuf conda-forge/osx-arm64::libprotobuf-5.28.3-h3bd63a1_1
libre2-11 conda-forge/osx-arm64::libre2-11-2024.07.02-h07bc746_2
libsodium conda-forge/osx-arm64::libsodium-1.0.20-h99b78c6_0
libsolv conda-forge/osx-arm64::libsolv-0.7.30-h6c9b7f8_0
libsqlite conda-forge/osx-arm64::libsqlite-3.48.0-h3f77e49_1
libssh2 conda-forge/osx-arm64::libssh2-1.11.1-h9cc3647_0
libthrift conda-forge/osx-arm64::libthrift-0.21.0-h64651cc_0
libtiff conda-forge/osx-arm64::libtiff-4.7.0-h551f018_3
libutf8proc conda-forge/osx-arm64::libutf8proc-2.10.0-hda25de7_0
libwebp-base conda-forge/osx-arm64::libwebp-base-1.5.0-h2471fea_0
libxcb conda-forge/osx-arm64::libxcb-1.17.0-hdb1d25a_0
libxml2 conda-forge/osx-arm64::libxml2-2.13.5-h178c5d8_1
libzlib conda-forge/osx-arm64::libzlib-1.3.1-h8359307_2
llvm-openmp conda-forge/osx-arm64::llvm-openmp-19.1.7-hdb05f8b_0
locket conda-forge/noarch::locket-1.0.0-pyhd8ed1ab_0
lz4-c conda-forge/osx-arm64::lz4-c-1.10.0-h286801f_1
lzo conda-forge/osx-arm64::lzo-2.10-h93a5062_1001
markupsafe conda-forge/osx-arm64::markupsafe-3.0.2-py311h4921393_1
matplotlib conda-forge/osx-arm64::matplotlib-3.10.0-py311ha1ab1f8_0
matplotlib-base conda-forge/osx-arm64::matplotlib-base-3.10.0-py311h031da69_0
matplotlib-inline conda-forge/noarch::matplotlib-inline-0.1.7-pyhd8ed1ab_1
menuinst conda-forge/osx-arm64::menuinst-2.2.0-py311h267d04e_0
mpmath conda-forge/noarch::mpmath-1.3.0-pyhd8ed1ab_1
multidict conda-forge/osx-arm64::multidict-6.1.0-py311h30e7462_1
munkres conda-forge/noarch::munkres-1.1.4-pyh9f0ad1d_0
ncurses conda-forge/osx-arm64::ncurses-6.5-h5e97a16_3
nest-asyncio conda-forge/noarch::nest-asyncio-1.6.0-pyhd8ed1ab_1
nlohmann_json conda-forge/osx-arm64::nlohmann_json-3.11.3-h00cdb27_1
numexpr conda-forge/osx-arm64::numexpr-2.10.2-py311h7469182_0
numpy conda-forge/osx-arm64::numpy-2.2.2-py311h762c074_0
openjpeg conda-forge/osx-arm64::openjpeg-2.5.3-h8a3d83b_0
openssl conda-forge/osx-arm64::openssl-3.4.0-h81ee809_1
orc conda-forge/osx-arm64::orc-2.0.3-h0ff2369_2
packaging conda-forge/noarch::packaging-24.2-pyhd8ed1ab_2
pandas conda-forge/osx-arm64::pandas-2.2.3-py311h9cb3ce9_1
parso conda-forge/noarch::parso-0.8.4-pyhd8ed1ab_1
partd conda-forge/noarch::partd-1.4.2-pyhd8ed1ab_0
pexpect conda-forge/noarch::pexpect-4.9.0-pyhd8ed1ab_1
pickleshare conda-forge/noarch::pickleshare-0.7.5-pyhd8ed1ab_1004
pillow conda-forge/osx-arm64::pillow-11.1.0-py311hb9ba9e9_0
pip conda-forge/noarch::pip-25.0-pyh8b19718_0
platformdirs conda-forge/noarch::platformdirs-4.3.6-pyhd8ed1ab_1
pluggy conda-forge/noarch::pluggy-1.5.0-pyhd8ed1ab_1
proj conda-forge/osx-arm64::proj-9.5.1-h1318a7e_0
prometheus-cpp conda-forge/osx-arm64::prometheus-cpp-1.3.0-h0967b3e_0
prompt-toolkit conda-forge/noarch::prompt-toolkit-3.0.50-pyha770c72_0
propcache conda-forge/osx-arm64::propcache-0.2.1-py311h4921393_1
psutil conda-forge/osx-arm64::psutil-6.1.1-py311h917b07b_0
pthread-stubs conda-forge/osx-arm64::pthread-stubs-0.4-hd74edd7_1002
ptyprocess conda-forge/noarch::ptyprocess-0.7.0-pyhd8ed1ab_1
pure_eval conda-forge/noarch::pure_eval-0.2.3-pyhd8ed1ab_1
py-cpuinfo conda-forge/noarch::py-cpuinfo-9.0.0-pyhd8ed1ab_1
py2vega conda-forge/noarch::py2vega-0.6.1-pyhd8ed1ab_0
pyarrow conda-forge/osx-arm64::pyarrow-19.0.0-py311ha1ab1f8_0
pyarrow-core conda-forge/osx-arm64::pyarrow-core-19.0.0-py311he04fa90_0_cpu
pybind11-abi conda-forge/noarch::pybind11-abi-4-hd8ed1ab_3
pycosat conda-forge/osx-arm64::pycosat-0.6.6-py311h917b07b_2
pycparser conda-forge/noarch::pycparser-2.22-pyh29332c3_1
pyerfa conda-forge/osx-arm64::pyerfa-2.0.1.5-py311h18599de_0
pygments conda-forge/noarch::pygments-2.19.1-pyhd8ed1ab_0
pyparsing conda-forge/noarch::pyparsing-3.2.1-pyhd8ed1ab_0
pyproj conda-forge/osx-arm64::pyproj-3.7.0-py311hb4b81e0_0
pysocks conda-forge/noarch::pysocks-1.7.1-pyha55dd90_7
pytables conda-forge/osx-arm64::pytables-3.10.2-py311h623b4cc_0
python conda-forge/osx-arm64::python-3.11.11-hc22306f_1_cpython
python-dateutil conda-forge/noarch::python-dateutil-2.9.0.post0-pyhff2d567_1
python-tzdata conda-forge/noarch::python-tzdata-2025.1-pyhd8ed1ab_0
python_abi conda-forge/osx-arm64::python_abi-3.11-5_cp311
pytz conda-forge/noarch::pytz-2024.1-pyhd8ed1ab_0
pyyaml conda-forge/osx-arm64::pyyaml-6.0.2-py311h4921393_2
pyzmq conda-forge/osx-arm64::pyzmq-26.2.1-py311h01f2145_0
qhull conda-forge/osx-arm64::qhull-2020.2-h420ef59_5
re2 conda-forge/osx-arm64::re2-2024.07.02-h6589ca4_2
readline conda-forge/osx-arm64::readline-8.2-h92ec313_1
reproc conda-forge/osx-arm64::reproc-14.2.5.post0-h5505292_0
reproc-cpp conda-forge/osx-arm64::reproc-cpp-14.2.5.post0-h286801f_0
requests conda-forge/noarch::requests-2.32.3-pyhd8ed1ab_1
ruamel.yaml conda-forge/osx-arm64::ruamel.yaml-0.18.10-py311h917b07b_0
ruamel.yaml.clib conda-forge/osx-arm64::ruamel.yaml.clib-0.2.8-py311hae2e1ce_1
rubin-scheduler conda-forge/noarch::rubin-scheduler-3.4.0-pyhd8ed1ab_1
s3fs conda-forge/noarch::s3fs-2025.2.0-pyhd8ed1ab_0
scikit-learn conda-forge/osx-arm64::scikit-learn-1.6.1-py311h47fa2fb_0
scipy conda-forge/osx-arm64::scipy-1.15.1-py311h809cfb5_0
setuptools conda-forge/noarch::setuptools-75.8.0-pyhff2d567_0
setuptools-scm conda-forge/noarch::setuptools-scm-7.1.0-pyhd8ed1ab_0
setuptools_scm conda-forge/noarch::setuptools_scm-7.1.0-hd8ed1ab_0
setuptools_scm_gi~ conda-forge/noarch::setuptools_scm_git_archive-1.4.1-pyhd8ed1ab_1
sgp4 conda-forge/osx-arm64::sgp4-2.22-py311hddbb800_0
shapely conda-forge/osx-arm64::shapely-2.0.7-py311h50ea49b_0
simdjson conda-forge/osx-arm64::simdjson-3.11.6-ha393de7_0
six conda-forge/noarch::six-1.17.0-pyhd8ed1ab_0
skyfield conda-forge/noarch::skyfield-1.49-pyhff2d567_0
skyproj conda-forge/noarch::skyproj-2.0.0-pyh2cfa8aa_0
smmap conda-forge/noarch::smmap-5.0.0-pyhd8ed1ab_0
snappy conda-forge/osx-arm64::snappy-1.2.1-h98b9ce2_1
sortedcontainers conda-forge/noarch::sortedcontainers-2.4.0-pyhd8ed1ab_1
soupsieve conda-forge/noarch::soupsieve-2.5-pyhd8ed1ab_1
spdlog conda-forge/osx-arm64::spdlog-1.15.1-hed1c2b2_0
sqlalchemy conda-forge/osx-arm64::sqlalchemy-2.0.38-py311h917b07b_0
sqlite conda-forge/osx-arm64::sqlite-3.48.0-hd7222ec_1
stack_data conda-forge/noarch::stack_data-0.6.3-pyhd8ed1ab_1
threadpoolctl conda-forge/noarch::threadpoolctl-3.5.0-pyhc1e730c_0
tk conda-forge/osx-arm64::tk-8.6.13-h5083fa2_1
tomli conda-forge/noarch::tomli-2.2.1-pyhd8ed1ab_1
toolz conda-forge/noarch::toolz-1.0.0-pyhd8ed1ab_1
tornado conda-forge/osx-arm64::tornado-6.4.2-py311h917b07b_0
tqdm conda-forge/noarch::tqdm-4.67.1-pyhd8ed1ab_1
traitlets conda-forge/noarch::traitlets-5.14.3-pyhd8ed1ab_1
traittypes conda-forge/noarch::traittypes-0.2.1-pyh9f0ad1d_2
truststore conda-forge/noarch::truststore-0.10.1-pyh29332c3_0
typing-extensions conda-forge/noarch::typing-extensions-4.12.2-hd8ed1ab_1
typing_extensions conda-forge/noarch::typing_extensions-4.12.2-pyha770c72_1
tzdata conda-forge/noarch::tzdata-2025a-h78e105d_0
unicodedata2 conda-forge/osx-arm64::unicodedata2-16.0.0-py311h917b07b_0
urllib3 conda-forge/noarch::urllib3-2.3.0-pyhd8ed1ab_0
wcwidth conda-forge/noarch::wcwidth-0.2.13-pyhd8ed1ab_1
webencodings conda-forge/noarch::webencodings-0.5.1-pyhd8ed1ab_3
wheel conda-forge/noarch::wheel-0.45.1-pyhd8ed1ab_1
widgetsnbextension conda-forge/noarch::widgetsnbextension-4.0.13-pyhd8ed1ab_1
wrapt conda-forge/osx-arm64::wrapt-1.17.2-py311h917b07b_0
xorg-libxau conda-forge/osx-arm64::xorg-libxau-1.0.12-h5505292_0
xorg-libxdmcp conda-forge/osx-arm64::xorg-libxdmcp-1.1.5-hd74edd7_0
yaml conda-forge/osx-arm64::yaml-0.2.5-h3422bc3_2
yaml-cpp conda-forge/osx-arm64::yaml-cpp-0.8.0-h13dd4ca_0
yarl conda-forge/osx-arm64::yarl-1.18.3-py311h4921393_1
zeromq conda-forge/osx-arm64::zeromq-4.3.5-hc1bb282_7
zipp conda-forge/noarch::zipp-3.21.0-pyhd8ed1ab_1
zlib conda-forge/osx-arm64::zlib-1.3.1-h8359307_2
zlib-ng conda-forge/osx-arm64::zlib-ng-2.2.3-h13dfb9a_0
zstandard conda-forge/osx-arm64::zstandard-0.23.0-py311ha60cc69_1
zstd conda-forge/osx-arm64::zstd-1.5.6-hb46c0d2_0
Proceed ([y]/n)? y
Downloading and Extracting Packages:
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
To activate this environment, use
$ conda activate rubin-sim
To deactivate an active environment, use
$ conda deactivate
(base) iMac:rubin_sim subercorley$ pip install -e . --no-deps
Obtaining file:///Users/subercorley/rubin_sim
Installing build dependencies … done
Checking if build backend supports build_editable … done
Getting requirements to build editable … done
Preparing editable metadata (pyproject.toml) … done
Building wheels for collected packages: rubin-sim
Building editable for rubin-sim (pyproject.toml) … done
Created wheel for rubin-sim: filename=rubin_sim-2.2.1-0.editable-py3-none-any.whl size=17220 sha256=23053e29a177f942ef0ce3d37efb7aa508ef8758ff19467aef6c3f850ee73377
Stored in directory: /private/var/folders/9h/5lgfqp251l77mtmnc156qlf00000gn/T/pip-ephem-wheel-cache-okx3m2_9/wheels/53/da/c2/dac4382df06fa128bd3d3f17a873d7764e8f09dae3446cf4fa
Successfully built rubin-sim
Installing collected packages: rubin-sim
Successfully installed rubin-sim-2.2.1
(base) iMac:rubin_sim subercorley$ scheduler_download_data
-bash: scheduler_download_data: command not found
(base) iMac:rubin_sim subercorley$ rs_download_data
Traceback (most recent call last):
File “/Users/subercorley/miniconda3/bin/rs_download_data”, line 5, in
from rubin_sim.data.rs_download_data import rs_download_data
File “/Users/subercorley/rubin_sim/rubin_sim/data/init.py”, line 1, in
from .rs_download_data import * # noqa: F403
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File “/Users/subercorley/rubin_sim/rubin_sim/data/rs_download_data.py”, line 7, in
from rubin_scheduler.data import DEFAULT_DATA_URL, download_rubin_data
ModuleNotFoundError: No module named ‘rubin_scheduler’
(base) iMac:rubin_sim subercorley$
You created a new conda environment called rubin_sim and installed the requirements, but then failed to activate the environment with conda activate rubin-sim (or we have poorly worded instructions, so you ended up deactivating the env when you shouldn’t have).
Peter, Thanks for the quick response. The instruction that I mis-interpreted was this “If you want to run tests (please do), install the test requirements as well:” I took the “if” to mean that the execution of those two lines of commands was optional. I had executed them the very first time that I attempted the installation, but, of course, that was many attempts before I realized that my conda was corrupted. I re-started and followed all of the steps in the installation and my system is now happily downloading a lot of sim data. I’m anxious to get into it. Thanks to you and Lynne again for everything .
I see – the spacing of that part of the installation instructions is poor.
The “conda activate” line should indeed be in the cell preceding the instructions to install the test requirements.
To use conda environments (or install additional packages into a particular environment), you always do need to activate the environment for each new shell. However, creating a channel and then failing to activate it prior to running pip to install additional packages … is something I have done many times. It’s a super-easy failure mode.