pypeit/PypeIt
Dec 2023 – Dec 2025
9 Months active
Languages Used
Python
Technical Skills
Python programmingastronomy software developmentcalibrationdata analysisdata calibrationdata processing
Eric Jeschke
PROFILE
Eric Jeschke
Eric developed and maintained core features for the pypeit/PypeIt repository, focusing on calibration, data reduction, and visualization tools for astronomical spectroscopy. He delivered interactive 1D spectral viewers using Python and Ginga, enabling dynamic analysis of FITS data and spectral line lists. Eric enhanced Subaru FOCAS instrument support by refining calibration logic, improving overscan and dark current handling, and modernizing file path management with pathlib for cross-platform reliability. His work included targeted bug fixes, dependency upgrades, and UI improvements, resulting in more reproducible workflows and robust data quality. The depth of his contributions reflects strong scientific computing and software engineering skills.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
23Total
Bugs
4
Commits
23
Features
10
Lines of code
4,821
Activity Months9
Your Network
20 peopleSame Organization
@naoj.org1
Shared Repositories
19
Brad HoldenMember
Brad HoldenMember
Brad HoldenMember
Brad HoldenMember
Frederick DaviesMember
Debora PellicciaMember
Dusty ReichweinMember
feigeMember
Frank VerdiMember
Work History
December 2025
7 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for pypeit/PypeIt focusing on delivering key features, major bug fixes, business impact, and technical skills demonstrated.
7 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for pypeit/PypeIt focusing on delivering key features, major bug fixes, business impact, and technical skills demonstrated.
December 2025
August 2025
4 Commits • 3 Features
Aug 1, 2025Monthly summary for 2025-08 focused on delivering core features, stability improvements, and cross-platform reliability for pypeit/PypeIt. Highlights include Ginga integration enhancements, an upgraded 1D spectrum viewer UX, modernized file path handling for portability, and a robust plot rendering fix that improves reliability in visualization pipelines.
August 2025
4 Commits • 3 Features
Aug 1, 2025Monthly summary for 2025-08 focused on delivering core features, stability improvements, and cross-platform reliability for pypeit/PypeIt. Highlights include Ginga integration enhancements, an upgraded 1D spectrum viewer UX, modernized file path handling for portability, and a robust plot rendering fix that improves reliability in visualization pipelines.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for pypeit/PypeIt focusing on Subaru FOCAS calibration enhancements and wavecal compatibility fixes. Delivered a new wavelength solution for the SCFCGRHD85 grism, updated the spectrograph script to reference it, and fixed XX1 bit type handling in LinesBitMask to restore wavecal compatibility and reduce calibration errors.
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for pypeit/PypeIt focusing on Subaru FOCAS calibration enhancements and wavecal compatibility fixes. Delivered a new wavelength solution for the SCFCGRHD85 grism, updated the spectrograph script to reference it, and fixed XX1 bit type handling in LinesBitMask to restore wavecal compatibility and reduce calibration errors.
June 2025
May 2025
1 Commits
May 1, 2025May 2025: In pypeit/PypeIt, delivered a critical bug fix for spectral calibration involving Subaru FOCAS grisms. Restored and refined conditional logic across multiple grisms, re-enabled and configured wavelength calibration files for different grism IDs, and updated configuration comments to reflect supported grisms. Adjusted arc and standard frame expression ranges to ensure accurate calibration, improving data quality and pipeline reliability for Subaru FOCAS spectra.
May 2025
1 Commits
May 1, 2025May 2025: In pypeit/PypeIt, delivered a critical bug fix for spectral calibration involving Subaru FOCAS grisms. Restored and refined conditional logic across multiple grisms, re-enabled and configured wavelength calibration files for different grism IDs, and updated configuration comments to reflect supported grisms. Adjusted arc and standard frame expression ranges to ensure accurate calibration, improving data quality and pipeline reliability for Subaru FOCAS spectra.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for pypeit/PypeIt highlighting SubaruFOCASSpectrograph improvements and overall delivery. Expanded instrument coverage and improved data quality for Subaru observations through enabling instrument support, adding arc line calibration data, code cleanup, and overscan enhancements.
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for pypeit/PypeIt highlighting SubaruFOCASSpectrograph improvements and overall delivery. Expanded instrument coverage and improved data quality for Subaru observations through enabling instrument support, adding arc line calibration data, code cleanup, and overscan enhancements.
April 2025
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025: Line List Data Integration and Visualization delivered for spectral analysis in PypeIt. Implemented dynamic loading of astronomical line lists in the visualization module (spec1dview.py) and centralized line list path resolution via the PypeItDataPath utility. Data-path infrastructure updated to include a line_tools folder for reliable access. These changes are captured in two commits: f6d494586e17b5979d0e5f92278fc95510252403 and a21ccb6b65996e363016fff3117c72e292e5addd. Business value includes improved accuracy and speed of spectral line identification, streamlined dataset onboarding, and better data provenance and reproducibility.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025: Line List Data Integration and Visualization delivered for spectral analysis in PypeIt. Implemented dynamic loading of astronomical line lists in the visualization module (spec1dview.py) and centralized line list path resolution via the PypeItDataPath utility. Data-path infrastructure updated to include a line_tools folder for reliable access. These changes are captured in two commits: f6d494586e17b5979d0e5f92278fc95510252403 and a21ccb6b65996e363016fff3117c72e292e5addd. Business value includes improved accuracy and speed of spectral line identification, streamlined dataset onboarding, and better data provenance and reproducibility.
November 2024
1 Commits • 1 Features
Nov 1, 2024Month 2024-11: Delivered a new visualization capability for 1D spectral data in PypeIt by adding a Ginga-based Spec1dView plugin, integrated with pypeit_show_1dspec. This enables interactive viewing of 1D spectra from FITS files and supports line-list plotting with customizable display options, streamlining spectral data analysis workflows.
1 Commits • 1 Features
Nov 1, 2024Month 2024-11: Delivered a new visualization capability for 1D spectral data in PypeIt by adding a Ginga-based Spec1dView plugin, integrated with pypeit_show_1dspec. This enables interactive viewing of 1D spectra from FITS files and supports line-list plotting with customizable display options, streamlining spectral data analysis workflows.
November 2024
June 2024
4 Commits • 1 Features
Jun 1, 2024June 2024 monthly summary for pypeit/PypeIt: Focused on Subaru FOCAS calibration and data processing enhancements to improve data quality and processing reliability for Subaru observations. Delivered a cohesive set of calibration and processing improvements across wavelength calibration, grid file management, overscan handling, dark current adjustments, and exposure/sequence definitions for standard and science frames. These changes reduce manual tuning, improve reproducibility, and enable more accurate spectrograph calibrations across datasets.
June 2024
4 Commits • 1 Features
Jun 1, 2024June 2024 monthly summary for pypeit/PypeIt: Focused on Subaru FOCAS calibration and data processing enhancements to improve data quality and processing reliability for Subaru observations. Delivered a cohesive set of calibration and processing improvements across wavelength calibration, grid file management, overscan handling, dark current adjustments, and exposure/sequence definitions for standard and science frames. These changes reduce manual tuning, improve reproducibility, and enable more accurate spectrograph calibrations across datasets.
December 2023
1 Commits
Dec 1, 2023December 2023: No new features released. Major bug fix delivered: Subaru Telescope location lookup accuracy, ensuring calculations use correct geographic coordinates. Commit: 3cca5018d03680bc78ab9d87d87fbb57c92f8df2. Impact: Restored data integrity for Subaru observations, reducing downstream errors in calibration, analysis, and planning. Skills demonstrated: geospatial calculations, coordinate normalization, debugging, and Git-based traceability. Business value: higher data quality and reliability improve instrument calibration, observation planning, and analytics accuracy.
1 Commits
Dec 1, 2023December 2023: No new features released. Major bug fix delivered: Subaru Telescope location lookup accuracy, ensuring calculations use correct geographic coordinates. Commit: 3cca5018d03680bc78ab9d87d87fbb57c92f8df2. Impact: Restored data integrity for Subaru observations, reducing downstream errors in calibration, analysis, and planning. Skills demonstrated: geospatial calculations, coordinate normalization, debugging, and Git-based traceability. Business value: higher data quality and reliability improve instrument calibration, observation planning, and analytics accuracy.
December 2023
Activity
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Quality Metrics
Correctness91.4%
Maintainability87.4%
Architecture87.4%
Performance83.6%
AI Usage21.8%
Skills & Technologies
Programming Languages
Python
Technical Skills
AstronomyAstronomy SoftwareBug FixingConfigurationConfiguration ManagementData ConfigurationData ManagementData ReductionData VisualizationDependency ManagementFITS File HandlingFile I/OFile Path HandlingFile System OperationsGinga
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