aiatresp

aiatresp is a pure Python replacement for SolarSoft's aia_get_response() routine.

It computes the SDO/AIA temperature response functions for all coronal channels without requiring IDL or SolarSoft while remaining numerically consistent with the official AIA calibration files.

Workflow Translation

IDL (SolarSoft)
-------------------------------------------------------------
aia_get_response, '2014-03-29', channels, logt, tr, /chianti

                     ↓

Python (aiatresp)
-------------------------------------------------------------
from aiatresp import aia_response

response = aia_response(obstime="2014-03-29")
channels = response.channels
logt = response.logt
tr = response.response  # Array shape: (6, 101) -> (channels, temperature)

Features

• Pure Python Replacement for aia_get_response: Computes time-dependent AIA temperature responses without any IDL or SolarSoft installation.
• Dynamic SSW Catalog Tracking: Automatically fetches live SolarSoft calibration indices (https://hesperia.gsfc.nasa.gov/ssw/sdo/aia/response/) to auto-discover active calibration versions (V1–V10, preflight, and future releases like V11) without hardcoded lookup tables.
• Time-Dependent Degradation & Crosstalk: Full support for time-dependent EVE degradation corrections and channel crosstalk.
• On-Demand Storage Discipline: Downloads only the specific single calibration version files needed into cross-platform cache locations (platformdirs).
• Parallel Downloader & Calculator: Multi-part parallel chunk downloader for maximum speed and vectorized NumPy integration.
• scipy.io.readsav Drop-in Compatibility: Includes read_aia_response helper exposing .channels, .logt, .tr, and .units.

Installation

Via PyPI (Recommended)

pip install aiatresp

Via Conda-Forge

conda install -c conda-forge aiatresp

From Source

git clone https://github.com/Jagathesh04/aiatresp.git && cd aiatresp
pip install -e .

Usage

1. By Observation Date

You can calculate temperature response functions by passing an ISO date string:

from aiatresp import aia_response

response = aia_response(obstime="2017-01-01T00:00:00")
print("Channels:", response.channels)
print("Response shape:", response.response.shape)  # (6, 101) -> (channels, temperature)

2. By Auto-Parsing FITS Directories

Pass obstime="auto" and supply the directory containing AIA FITS files:

from aiatresp import aia_response

response = aia_response(obstime="auto", fits_dir="/path/to/my/fits/directory")

3. Command-Line Interface (CLI)

# Output text and .npz response files from observation time
aia-response --observation-time "2019-01-01T00:00:00" --output resp.npz --text-output resp.dat

# Display environment & cache diagnostics
aia-response info

# Clear cached calibration files
aia-response --clear-cache

Scientific Validation

Full side-by-side comparison plots, error matrices, and numerical validation against SolarSoft IDL aia_get_response across all 13 official calibration releases (preflight, V2 to V10c) are available in COMPARISON.md.

Verification & Testing

Run the automated test suite with pytest:

pytest -v

Run the scientific verification script against SolarSoft reference standards:

python examples/compare_with_ssw.py

Authors & Contributors

Made by Jagatheshwaran R and Aparna G R.

License

Distributed under the terms of the MIT License.