diff --git a/content/intro.md b/content/intro.md index 7f9d62f..915d6ab 100644 --- a/content/intro.md +++ b/content/intro.md @@ -10,7 +10,7 @@ or use the links below to learn more. [What is the RSP?](../markdown/what-is-rsp.md) - [Roman Science Workflows and Notebook Tutorials](../markdown/tutorials.md) + [Roman Science Workflows](../markdown/workflows.md) and [Notebook Tutorials](../markdown/tutorials.md) [What data are available?](../markdown/simulated-data.md) diff --git a/images/wfi-data-analysis.png b/images/wfi-data-analysis.png index a92ac87..b087d36 100644 Binary files a/images/wfi-data-analysis.png and b/images/wfi-data-analysis.png differ diff --git a/images/wfi-data-sim.png b/images/wfi-data-sim.png index 8b5ce36..8ba6c8a 100644 Binary files a/images/wfi-data-sim.png and b/images/wfi-data-sim.png differ diff --git a/images/wfi-obs-planning.png b/images/wfi-obs-planning.png index 290e695..3930617 100644 Binary files a/images/wfi-obs-planning.png and b/images/wfi-obs-planning.png differ diff --git a/markdown/tutorials.md b/markdown/tutorials.md index 5bc8e23..9556f7d 100644 --- a/markdown/tutorials.md +++ b/markdown/tutorials.md @@ -1,40 +1,29 @@ # RSP Jupyter Notebooks Tutorials -Jupyter Notebooks offer an efficient and powerful way to interact with Roman datasets. Always save and shut down all notebooks, and log out of JupyterLab when you have finished your work. This is important to preserve resources for other users and to ensure you enter the RSP in a known state every time. +## What are Notebook Tutorials? +In the Roman Science Platform (RSP) framework, a notebook tutorial refers to a Jupyter notebook demonstrating how to use a specific piece of code or tool. A set of predefined Jupyter notebook tutorials is available to demonstrate how to use tools and software for accessing, simulating, processing, visualizing, and analyzing Roman Wide Field Instrument (WFI) data within the science platform. Although the current content primarily focuses on WFI imaging mode, Jupyter notebook tutorials for spectroscopic products will be available by Winter 2024. -## How to Use the Notebook Tutorials -A set of predefined Jupyter Notebook tutorials is available to demonstrate how to use tools and software to access, simulate, process, visualize, and analyze Roman Wide Field Instrument (WFI) data within the science platform. Each tutorial is self-contained, well-documented, and guides users through each step. - -Each notebook can also be seen as an individual component or module within a larger science workflow, offering users a complete end-to-end experience. While many different workflows are possible, the current documentation focuses on three main use cases: WFI observation planning, WFI data simulations, and WFI data analysis. - -### Summary -- Tutorial: A notebook demonstrating how to use specific code or tools. -- Science Workflow: A combination of documentation and notebook tutorials demonstrating how to achieve a specific science-focused use case. +Each tutorial is self-contained, well-documented, and guides users through every step. While Jupyter notebook tutorials can be used as standalone tools, they also function as individual components or modules within larger science workflows, offering users a complete end-to-end experience. -### Workflows -While users can choose to run any single Jupyter Notebook tutorial as a standalone tool, Science Workflows are designed to offer a complete end-to-end experience. Here, we consider three common workflows focused on the Roman Wide Field Instrument (WFI): -- [WFI Observation Planning](workflows/wfi-obs-plan.md) -- [WFI Data Simulation](workflows/wfi-data-sim.md) -- [WFI Data Analysis](workflows/wfi-data-analysis.md) - -There are many potential workflows not covered in this outline; even if you don't see it here, the RSP can likely support your workflow! While the current content primarily focuses on the WFI imaging mode, Jupyter Notebook tutorials and Science Workflows for spectroscopic products will be available by Winter 2024. +## How to Use the Notebook Tutorials +Jupyter notebooks provide an efficient and powerful way to interact with Roman datasets. Always remember to [save and shut down all notebooks and log out](./jupyter.md) of JupyterLab when you finish your work. This is important to preserve resources for other users and to ensure that you enter the Roman Science Platform (RSP) in a known state every time. ## All Notebooks -Below is an outline of the content covered in each notebook and the Science Workflows they are part of. While the current content primarily focuses on the WFI imaging mode, Jupyter Notebook tutorials for spectroscopic products will be available by Winter 2024. +Below is an outline of the content covered in each notebook and the Science Workflows they are part of. While the current content primarily focuses on the WFI imaging mode, Jupyter notebook tutorials for spectroscopic products will be available by Winter 2024. | Jupyter Notebook Tutorial | Content and Scope | Science Workflow(s) | |-------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------|------------------------------------------| -| [Data Discovery and Access](../content/notebooks/data_discovery_and_access/data_discovery_and_access.ipynb) | Access data in the cloud archive ("S3 bucket") | WFI Data Analysis | -| [Working with ASDF](../content/notebooks/working_with_asdf/working_with_asdf.ipynb) | Open ASDF files with roman_datamodels, access metadata, manipulate arrays, and save changes to disk | WFI Data Simulation
WFI Data Analysis | -| [Data Visualization](../content/notebooks/data_visualization/data_visualization.ipynb) | Use Imviz to display a preview of Roman Level 2 products. | WFI Data Simulation
WFI Data Analysis | +| [Data Discovery and Access](../content/notebooks/data_discovery_and_access/data_discovery_and_access.ipynb) | Retrieve data from MAST or access simulated Roman data in the cloud archive ("S3 bucket"). | WFI Data Analysis | +| [Working with ASDF](../content/notebooks/working_with_asdf/working_with_asdf.ipynb) | Open ASDF files with roman_datamodels, access metadata, manipulate arrays, and save changes to disk. | WFI Data Simulation
WFI Data Analysis | +| [Data Visualization](../content/notebooks/data_visualization/data_visualization.ipynb) | Use Imviz to display a preview of Roman Level 2 products and run quick analysis tools. | WFI Data Simulation
WFI Data Analysis | | [Roman I-sim](../content/notebooks/romanisim/romanisim.ipynb) | Generate Level 1 and Level 2 WFI imaging products. | WFI Data Simulation | | [RomanCal](..content/notebooks/romancal/romancal.ipynb) | Process WFI L1 imaging raw data to obtain exposure level products. | WFI Data Simulation
WFI Data Analysis | | [Aperture Photometry](../content/notebooks/aperture_photometry/aperture_photometry.ipynb) | Perform forced aperture photometry on a simulated WFI image. | WFI Data Analysis | | [Galaxy Shapes](../content/notebooks/measuring_galaxy_shapes/measuring_galaxy_shapes.ipynb) | Perform shape measurements of galaxies on a simulated WFI image. | WFI Data Analysis | | [Pandeia](../content/notebooks/pandeia/pandeia.ipynb) | Estimate the exposure parameters needed to reach a given SNR for simulated sources in a small area of one WFI detector. | WFI Observations Planning | -| [RIST](../content/notebooks/rist/rist.ipynb) | Simplified, interactive version of Pandeia. Estimate the SNR for a variety of target brightnesses and filters. | WFI Observations Planning | +| [RIST](../content/notebooks/rist/rist.ipynb) | Roman Interactive Sensitivity Tool. Simplified, interactive version of Pandeia. Estimate the SNR for a variety of target brightnesses and filters. | WFI Observations Planning | | [STIPS](../content/notebooks/stips/stips.ipynb) | Simulate large astronomical scenes with WFI full field-of-view. | WFI Observations Planning | | [Synphot](../content/notebooks/romanisim_romancal/romanisim_romancal.ipynb) | Synthetic photometry software, estimate the brightness of sources observed with Roman WFI. | WFI Observations Planning | | [WebbPSF](../content/notebooks/webbpsf/webbpsf.ipynb) | Generate WFI simulated Point Spread Functions using WebbPSF. | WFI Observations Planning | \ No newline at end of file diff --git a/markdown/workflows.md b/markdown/workflows.md new file mode 100644 index 0000000..d7234f8 --- /dev/null +++ b/markdown/workflows.md @@ -0,0 +1,13 @@ +# Science Workflows +In the Roman Science Platform (RSP) framework, a Notebook Tutorial refers to a Jupyter Notebook that demonstrates the use of a specific piece of code or tool. A Science Workflow is a combination of multiple Notebook Tutorials, along with accompanying documentation, that guides users through a specific science use case. + +Users can run the Jupyter Notebook Tutorials in any order or modify them to suit specific data or science goals. However, following the sequence outlined in the Science Workflows ensures a complete, end-to-end experience. Science Workflows are particularly beneficial for new users unfamiliar with Roman data, tools, and infrastructure, but they also offer a valuable starting point for experienced users aiming to apply them to their own datasets. + +We currently support three Science Workflows focused on the Roman Wide Field Instrument (WFI): +- [WFI Data Simulation](./workflows/wfi-data-sim.md) +- [WFI Data Analysis](./workflows/wfi-data-analysis.md) +- [WFI Observation Planning](./workflows/wfi-obs-plan.md) + +There are many potential workflows beyond these. Even if yours isn't listed, the RSP can likely support your specific workflow! + +Although the current content primarily focuses on WFI imaging mode, Jupyter Notebook Tutorials and Science Workflows for spectroscopic products will be available by Winter 2024. \ No newline at end of file diff --git a/markdown/workflows/wfi-data-analysis.md b/markdown/workflows/wfi-data-analysis.md index be17558..f8df840 100644 --- a/markdown/workflows/wfi-data-analysis.md +++ b/markdown/workflows/wfi-data-analysis.md @@ -1,27 +1,24 @@ # RSP Science Workflows: WFI Data Analysis -This workflow is designed for users that want to analyze their WFI data products for scientific purposes. -![wfi-analysis-flow](../../images/wfi-data-analysis.png) +This science workflow guides users through the discovery and access of data while working in the cloud, as well as the manipulation, visualization, and analysis of simulated Roman WFI imaging data products. + + ## Workflow Description -- [Access data on the RSP](../../content/notebooks/data_discovery_and_access/data_discovery_and_access.ipynb) -> Stream data from the cloud directly into memory, bypassing the need to download data locally. Learn how to download data from the STScI MAST server, which hosts data for in-flight telescopes including Hubble, TESS, and JWST, or access simulated Roman WFI data stored in AWS cloud containers. -- [Explore Roman WFI Data Files](../../content/notebooks/working_with_asdf/working_with_asdf.ipynb) -> Explore Roman WFI data products by understanding the ASDF format (Advanced Scientific Data Format). Roman WFI data products, including those generated by Roman I-sim, are saved in ASDF format. Learn how to manage ASDF files, read metadata, and access data arrays. -- [Process Roman WFI Raw Data](../../content/notebooks/romancal/romancal.ipynb) -> Process your data in RomanCal, the Roman calibration pipeline. Learn how to use RomanCal to generate L2 data from L1 raw data. -- [Visualize Roman WFI L2 Data Products](../../content/notebooks/data_visualization/data_visualization.ipynb) -> Visualize your L2 data products using Matplotlib and Imviz, a tool for visualization and analysis of 2D astronomical images based on the Jupyter platform with built-in Astropy functionality. +- [Data Discovery and Access](../../content/notebooks/data_discovery_and_access/data_discovery_and_access.ipynb): Access data from MAST or retrieve WFI simulated images +> Stream data directly into memory from the cloud, eliminating the need to download it locally. Access data from the STScI MAST server, which hosts datasets from active missions such as Hubble, TESS, and JWST, or retrieve simulated Roman WFI data stored in AWS. +- [Working with ASDF](../../content/notebooks/working_with_asdf/working_with_asdf.ipynb): Explore Roman WFI Data Files +> Explore WFI data products by understanding the Advanced Scientific Data Format (ASDF). Roman WFI data products, including those generated by Roman-I-Sim, are saved in ASDF format. Learn how to manage ASDF files, read metadata, and access data arrays. To learn more about Roman WFI data levels and products, visit the [RDox pages on the WFI data format](https://roman-docs.stsci.edu/data-handbook-home/wfi-data-format). +- [Data Visualization](../../content/notebooks/data_visualization/data_visualization.ipynb): Visualize Roman WFI L2 Data Products +> Visualize your L2 data products using Matplotlib and Imviz, a tool for visualizing and quickly analyzing 2D astronomical images. Imviz is based on the Jupyter platform and includes built-in Astropy functionality. For additional background, consult the Imviz documentation on ReadTheDocs. - Analyze Roman WFI images - - > Perform [forced aperture photometry](../../content/notebooks/aperture_photometry/aperture_photometry.ipynb) on a WFI image simulated with Roman I-sim. Learn how to measure the integrated fluxes for a set of specified source positions and aperture sizes. - - > Perform [shape measurements](../../content/notebooks/measuring_galaxy_shapes/measuring_galaxy_shapes.ipynb) of astronomical sources on a WFI image simulated with Roman I-sim. Use galsim to perform ellipticity measurements, and learn how to fit a Sérsic model to a galaxy coutout. + - > [Aperture photometry](../../content/notebooks/aperture_photometry/aperture_photometry.ipynb): Perform forced aperture photometry on a WFI image simulated with Roman I-sim. Learn how to measure the integrated fluxes for a set of specified source positions and aperture sizes. + - > [Galaxy Shapes](../../content/notebooks/measuring_galaxy_shapes/measuring_galaxy_shapes.ipynb): Perform shape measurements of astronomical sources on a WFI image simulated with Roman-I-Sim. Use Galsim to perform ellipticity measurements, and learn how to fit a Sérsic model to a galaxy cutout. + +![wfi-analysis-flow](../../images/wfi-data-analysis.png) -## Additional Background Information -Additional documentation is available at the links below: -- [Roman I-Sim on readthedocs](https://romanisim.readthedocs.io/en/latest/) -- [RomanCal on readthedocs](https://roman-pipeline.readthedocs.io/en/latest/) -- [Imviz on readthedocs](https://roman-pipeline.readthedocs.io/en/latest/) ## Caveat and limitations -While the current content primarily focuses on the WFI imaging mode, Jupyter Notebook tutorials and Science Workflows for spectroscopic products will be available by Winter 2024. \ No newline at end of file +- The current content focuses on WFI imaging mode. Jupyter notebook tutorials and Science Workflows for spectroscopic products will be available by winter 2024. +- Content on Level 3 products, including mosaicked images, will be available by Winter 2024. diff --git a/markdown/workflows/wfi-data-sim.md b/markdown/workflows/wfi-data-sim.md index 0e82bbb..e701aec 100644 --- a/markdown/workflows/wfi-data-sim.md +++ b/markdown/workflows/wfi-data-sim.md @@ -1,25 +1,20 @@ # RSP Science Workflows: WFI Data Simulations -This workflow is designed for users who want to simulate the data products associated with their WFI observations. +This science workflow guides the user through the simulation, processing, manipulation, and visualization of WFI imaging data products. -![wfi-im](../../images/wfi-data-sim.png) - -## Workflow Description -- [Simulate Roman WFI Data Products](../../content/notebooks/romanisim/romanisim.ipynb) -> Create L1 and L2 simulated data products of your field using Roman I-sim, a Galsim-based simulator for WFI imaging data. Roman I-sim uses Galsim to render astronomical scenes, WebbPSF to model the point spread function, and CRDS to access the calibration information needed to produce realistic WFI images. Use Roman I-sim to simulate L1 and L2 data using synthetic catalogs or the GAIA catalog. Roman I-sim generates outputs in the standard Roman ASDF format. -- [Process Roman WFI Raw Data](../../content/notebooks/romancal/romancal.ipynb) -> Process your data in RomanCal, the Roman calibration pipeline. Learn how to use RomanCal to generate L2 data from L1 raw data obtained with Roman I-sim. -- [Explore Roman WFI Data Files](../../content/notebooks/working_with_asdf/working_with_asdf.ipynb) -> Explore your WFI data products by understanding the ASDF format (Advanced Scientific Data Format). Roman WFI data products, including those generated by Roman I-sim, will be saved in ASDF format. Learn how to manage ASDF files, read the metadata, and access the data arrays. -- [Visualize Roman WFI L2 Data Products](../../content/notebooks/data_visualization/data_visualization.ipynb) -> Visualize your L2 data products using Matplotlib and Imviz, a tool for visualization and analysis of 2D astronomical images based on the Jupyter platform with built-in Astropy functionality. +## Workflow +- [Roman-I-Sim](../../content/notebooks/romanisim/romanisim.ipynb): Simulate Roman WFI Data Products +> Simulate L1 and L2 data products for your field using Roman-I-Sim, a Galsim-based simulator designed for WFI imaging data. Roman-I-Sim leverages Galsim to render astronomical scenes, WebbPSF to model the point spread function, and CRDS to access the necessary calibration information for producing realistic WFI images. You can simulate L1 and L2 data using either synthetic catalogs or the GAIA catalog. Roman-I-Sim generates outputs in the standard Roman ASDF format. To learn more about this SOC-developed and maintained software, consult [Roman-I-Sim on ReadTheDocs](https://romanisim.readthedocs.io/en/latest/). +- [Working with ASDF](../../content/notebooks/working_with_asdf/working_with_asdf.ipynb): Explore Roman WFI Data Files +> Explore your WFI data products by understanding the Advanced Scientific Data Format (ASDF). Roman WFI data products, including those generated by Roman-I-Sim, are saved in ASDF format. Learn how to manage ASDF files, read metadata, and access the data arrays. To learn more about Roman WFI data levels and products, visit the [RDox pages on the WFI data format](https://roman-docs.stsci.edu/data-handbook-home/wfi-data-format) +- [RomanCal](../../content/notebooks/romancal/romancal.ipynb): Process Roman WFI Data +> Use RomanCal, the Roman calibration pipeline, to process your data. Learn how to generate L2 data from L1 raw data obtained with Roman-I-Sim using RomanCal. To learn more about the calibration pipeline, access [RomanCal on ReadTheDocs](https://roman-pipeline.readthedocs.io/en/latest/). +- [Data Visualization](../../content/notebooks/data_visualization/data_visualization.ipynb): Visualize Roman WFI L2 Data Products +> Visualize your L2 data products using Matplotlib and Imviz, a tool for visualizing and quickly analyzing 2D astronomical images. Imviz is based on the Jupyter platform and includes built-in Astropy functionality. For additional background information, consult [Imviz documentation on ReadTheDocs](https://jdaviz.readthedocs.io/en/latest/imviz/index.html). +![wfi-im](../../images/wfi-data-sim.png) -## Additional Background Information -- [Roman I-sim on readthedocs](https://romanisim.readthedocs.io/en/latest/) -- [RomanCal on readthedocs](https://roman-pipeline.readthedocs.io/en/latest/) -- [Imviz on readthedocs](https://jdaviz.readthedocs.io/en/latest/imviz/index.html) - -## Caveat and limitations -While the current content primarily focuses on the WFI imaging mode, Jupyter Notebook tutorials and Science Workflows for spectroscopic products will be available by Winter 2024. \ No newline at end of file +## Caveats and limitations +- While the current content focuses on the WFI imaging mode, Jupyter Notebook tutorials and Science Workflows for spectroscopic products will be available by Winter 2024. +- Content on Level 3 products, including mosaicked images, will be available by Winter 2024. diff --git a/markdown/workflows/wfi-obs-plan.md b/markdown/workflows/wfi-obs-plan.md index 944a428..1ec5199 100644 --- a/markdown/workflows/wfi-obs-plan.md +++ b/markdown/workflows/wfi-obs-plan.md @@ -1,28 +1,19 @@ # RSP Science Workflows: WFI Observations Planning -This workflow is designed for users aiming to plan their surveys and observations by considering a number of design elements. -![wfi-obs-flowchart](../../images/wfi-obs-planning.png) +This workflow is designed for users aiming to plan WFI surveys and observations by taking into account a number of design elements. -## Workflow description -- [Quick Characterization of Roman WFI Exposure Capabilities](../../content/notebooks/rist/rist.ipynb) -> Get a quick idea of your exposure parameters using RIST (the Roman Imager Simulation Tool). Use RIST to get an initial understanding of the expected SNR for a point source with a flat spectrum and given magnitude as a function of filter and exposure time. -- [Define the Exposure Parameters of Your WFI Observation](../../content/notebooks/pandeia/pandeia.ipynb) -> Refine your exposure parameters with Pandeia, the official exposure time calculator for the Roman Space Telescope. Simulate multiple representative sources with given characteristics (e.g., SED, extension) over a small area of a representative WFI detector and optimize your observing parameters to reach the needed SNR. -- [Simulate a Full FOV Observation with WFI](../../content/notebooks/stips/stips.ipynb) -> Create realistic simulations of your observations using STIPS (the Space Telescope Imaging Product Simulator). STIPS outputs are within 10% agreement of Pandeia simulations and use point spread functions (PSFs) generated with WebbPSF. Use STIPS to simulate a complete observation with the WFI using the observing parameters derived with Pandeia. Create a realistic astronomical scene, generate input catalogs, consider multiple pointings, and understand the effect of noise residuals. -- Detailed Characterization of WFI’s PSFs and Throughput Curves - - > Understand the WFI performance using WebbPSF, a Python package that [simulates PSFs for the Roman Space Telescope](../../content/notebooks/webbpsf/webbpsf.ipynb) (as well as the James Webb Space Telescope). - - > Use the synthetic photometry software, synphot, to [estimate the brightness of both empirical and model sources](../../content/notebooks/synphot/synphot.ipynb) as they would be measured by the WFI. -## Additional Background Information -User-facing documentation and code documentation are available at the links below: +## Workflow description +- [RIST (Roman Interactive Sensitivity Tool)](../../content/notebooks/rist/rist.ipynb): Quick Characterization of Roman WFI Exposure Capabilities +> Get a quick idea of your exposure parameters using RIST. RIST helps users characterize the Signal-to-Noise Ratio (SNR) for one on-axis point source with a flat spectrum and a given magnitude as a function of filter and exposure time. For more information, please refer to the [Roman Interactive Sensitivity Tool documentation in RDox](https://roman-docs.stsci.edu/simulation-tools-handbook-home/simulation-development-utilities/roman-interactive-sensitivity-tool). +- [WebbPSF](../../content/notebooks/webbpsf/webbpsf.ipynb): Simulate Roman Point Spread Functions (PSFs) +> Use WebbPSF to gain a detailed understanding of WFI PSFs. The tool simulates PSFs for various instrument configurations using a set of pre-computed Optical Path Difference (OPD) maps. It also includes field- and wavelength-dependent aberrations. Visit the [WebbPSF for Roman in RDox](https://roman-docs.stsci.edu/simulation-tools-handbook-home/webbpsf-for-roman) to learn more about the software. +- [Synphot](../../content/notebooks/synphot/synphot.ipynb): Perform Synthetic Photometry +> Estimate the brightness of both empirical and model sources as they would be measured by the WFI. To learn more, refer to the [stsynphot for Roman documentation in RDox](https://roman-docs.stsci.edu/simulation-tools-handbook-home/simulation-development-utilities/synphot-for-roman). +- [Pandeia](../../content/notebooks/pandeia/pandeia.ipynb): Define the Exposure Parameters of Your WFI Observation +> Refine your exposure parameters with Pandeia, the official Exposure Time Calculator for the Roman Space Telescope. Simulate multiple representative sources with given characteristics (e.g., Spectral Energy Distribution [SED], extension) over a small area of a representative WFI detector. Optimize your observing parameters to achieve the SNR needed to meet your science goals. For more information, please refer to the [Pandeia for Roman documentation in RDox](https://roman-docs.stsci.edu/simulation-tools-handbook-home/pandeia-for-roman). +- [STIPS (Space Telescope Image Product Simulator)](../../content/notebooks/stips/stips.ipynb): Simulate an Astronomical Scene Over the Full WFI Field of View (FOV) +> STIPS is designed to quickly produce image simulations similar to WFI exposure-level L2 data products. This tool is especially useful when Pandeia does not provide a sufficiently large simulation area. STIPS can simulate astronomical scenes as observed with the WFI over a full detector or multiple detectors. The software retrieves instrument and filter parameters for the WFI directly from Pandeia and approximates Point Spread Functions (PSFs) at any pixel location by interpolating over a grid of detector-specific PSFs generated with WebbPSF. The resulting flux measurements are within ~10% of those generated by Pandeia. STIPS allows you to create realistic astronomical scenes, generate input catalogs, account for multiple pointings, and understand the effects of noise residuals. User documentation is available at [STIPS in RDox](https://roman-docs.stsci.edu/simulation-tools-handbook-home/stips-space-telescope-imaging-product-simulator) if you would like to learn more. -| Simulation Tool | User Documentation | Code Documentation | -|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------| -| RIST | | | -| Pandeia | [Pandeia for Roman in RDox](https://roman-docs.stsci.edu/simulation-tools-handbook-home/pandeia-for-roman) | [Pandeia on STScI Outerspace](https://outerspace.stsci.edu/display/PEN/) | -| STIPS | [STIPS in RDox](https://roman-docs.stsci.edu/simulation-tools-handbook-home/stips-space-telescope-imaging-product-simulator) | [STIPS on readthedocs](https://stsci-stips.readthedocs.io/en/stable/) | -| WebbPSF | [WebbPSF for Roman in RDox](https://roman-docs.stsci.edu/simulation-tools-handbook-home/webbpsf-for-roman) | [WebbPSF on readthedocs](https://webbpsf.readthedocs.io/en/latest/index.html) | -| Synphot | [stsynphot for Roman in RDox](https://roman-docs.stsci.edu/simulation-tools-handbook-home/simulation-development-utilities/synphot-for-roman) | [stsynphot on readthedocs](https://synphot.readthedocs.io/en/latest/) | ## Caveats and Limitations -While the current content primarily focuses on the WFI imaging mode, Jupyter Notebook tutorials and Science Workflows for spectroscopic products will be available by Winter 2024. \ No newline at end of file +While the current content primarily focuses on the WFI imaging mode, Jupyter Notebook tutorials and science workflows for spectroscopic products will be available by winter 2024. \ No newline at end of file