Skip to main content

Tool to predict the spectral traces for any NIRISS/SOSS observation

Project description

Predicting Accurate Spectral Traces in Astrophysical SOSS Spectra (PASTASOSS)

Author: Tyler Baines

Affiliation: Science Support Analyst, NIRISS/SOSS Team, Space Telescope Science Institute (STScI)

Email: tbaines@stsci.edu


Overview

When JWST operates in the NIRISS/SOSS mode, the rotation of the pupil wheel, responsible for positioning the GR700XD grism into the optical path, does not consistently align with its expected position (i.e., there is a slight rotational offset). This variability, with shifts of just a few fractions of a degree from the commanded position, leads to noticeable changes in the positions of spectral traces (with the greatest changes observed at redder wavelength) for NIRISS/SOSS observations from one visit to another. These variations can result in differences in the wavelength solutions between visits, potentially impacting data accuracy.

To address these challenges and ensure accurate data analysis and spectral extraction, we introduce PASTASOSS, a robust tool to designed to predict the positions and associated wavelength values of the GR700XD spectral traces with sub-pixel precision. Currently, the tools supports spectral orders 1 and 2, with plans to extend support to order 3 in the future. PASTASOSS provides trace position models for both Order 1 and Order 2, which accurately represent the positions when the GR700XD is located in its commanded positions. Additionally, it offers a global wavelength solution based on the pupil wheel position, ensuring precise spectral calibration. It's worth noting that the reference files included in this package are not apart of the official JWST reference files system at this time. However, they serve as essential resources for achieving precise spectral trace predictions in the face of instrument variatation.

As more NIRISS/SOSS observations become increasingly available, we are commited to continually updating the tool and reference data models to ensure its accuracy and relevance.

  • Note: Please be aware that the spectral trace positions provided are based on the SUBSTRIP256 subarray configuration. We have not conducted accuracy tests using the SUBSTRIP96 subarray or analyzed/compared trace positions with the F277W filter. While we believe that the tool should function adequately with these configurations, we advise users to proceed with caution and use them at their own discretion, as thorough testing has not yet been completed.

Supported Spectral Trace Ranges

Spectral Order Trace Position Model (Pixels) Wavelength Solution Model ($\mu m$) PWCPOS (deg)
Order 1 [4, 2043] [0.85, 2.83] [245.656, 245.923]
Order 2 [0, 1750+] [0.60, 1.42] [245.656, 245.923]
Order 3 Unsupported Unsupported Unsupported

Installation

To install the package via pip, use the following command:

pip install pastasoss

Alternatively, you can clone the repository and navigate to directory:

git clone https://github.com/spacetelescope/pastasoss.git
cd pastasoss
pip install .

Usage

To use the package:

import pastasoss

# predict gr700xd traces position for order 1
pastasoss.get_soss_traces(245.84, order='1')

# predict gr700xd traces position for order 2
pastasoss.get_soss_traces(245.84, order='2')

# predict gr700xd traces position for orders 1 and 2
pastasoss.get_soss_traces(245.84, order='12')

Demo

A concise demonstration notebook is included with the package. We encourage users to explore it for a quick introduction to PASTASOSS.

Get Involved

We welcome community feedback to improve and expand PASTASOSS.

If you make use of this code, please cite:

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pastasoss-1.2.2.tar.gz (3.0 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pastasoss-1.2.2-py3-none-any.whl (57.9 kB view details)

Uploaded Python 3

File details

Details for the file pastasoss-1.2.2.tar.gz.

File metadata

  • Download URL: pastasoss-1.2.2.tar.gz
  • Upload date:
  • Size: 3.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for pastasoss-1.2.2.tar.gz
Algorithm Hash digest
SHA256 8eb664791148b83e083169c5f28232528a82f64b9cf3bd4486cabefc095af626
MD5 255e7b65fb16d4ebe71e416593c6200a
BLAKE2b-256 56f5fba02780e2601b7c1b5d55bfea80f1683e92340b5eeb9257cd20afaa0f96

See more details on using hashes here.

File details

Details for the file pastasoss-1.2.2-py3-none-any.whl.

File metadata

  • Download URL: pastasoss-1.2.2-py3-none-any.whl
  • Upload date:
  • Size: 57.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for pastasoss-1.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 81b4900c4033904b424ccb0cb2d185e9645b309f80e5d6ddd90c7287a7018b24
MD5 314c06e78a1538027a729205343750cb
BLAKE2b-256 45e06a03e8af03b0930dd548da8bbcac616e5dd4fcf4fb15476ffb1e85dc1c81

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page