Solar Soft X-ray Irradiance with Hinode/XRT
Anne Monroe (Gustavus Adolphus College) with Aki Takeda & Rhiannon Fleming
as a MSU solar/space REU 2023 project.
Project descriptions
Montana State University (MSU) is home of Hinode/XRT Synoptic Composite Image
Archive ( SCIA ), which is the archive of soft X-ray full-Sun images obtained
with the X-Ray Telescope aboard the Hinode satellite. Our images are posted
daily to the SolarMonitor, a popular site for solar researchers to check the
current solar condition.
With this archive, we can study solar activities in terms of the Sun's radiation
in soft X-ray wavelengths. In this project, we will process the XRT/SCIA images
taken from 2006 to present to derive the soft X-ray irradiance during this period.
We will learn how to process Hinode/XRT FITS data for quantitative analysis using
the data analysis software IDL(Interactive Data Language): data selection,
derivation of temperature and emission measure, calculation of the XRT irradiance
in the physical unit (W/m^2), etc. This project is continued from 2021.
This year, we will put emphasis on the data calibration to correct characteristic
change of the instrument over 15 years of operation, and comparison with the
observations by other instruments measuring the solar cycle variation.
As a bonus, the student will have a few opportunities to watch and learn how
an international satellite project like Hinode is operated. As one of US
institutes participating the Hinode satellite operation, we have a duty week in
July, in which we take control of the XRT observation.
Weekly goals
- Week 1 (5/30 -- 6/2) :
- attend Python and IDL tutorials.
- Read "Encyclopedia of the Sun" to study background of the project
(sections 8.4, 8.5.).
- Week 2 (6/5 -- 6/9) :
- Discuss "Encyclopedia of the Sun", sections 8.4, 8.5.
- Introduction to Hinode project and XRT instruments.
- Introduction to XRT data handling with IDL.
- read XRT level0 data (sample_read.pro)
- calibrate XRT data (sample_prep.pro)
- make a composite image(sample_comp.pro)
- Get to know about SCIA data.
- Preparation for the short presentation on Friday 2pm.
- Week 3 (6/12 -- 6/16) :
- Understand the project goal and steps to get there.
- step 1: data selection
(find usable image pairs of Al_mesh and Al_poly)
- step 2: collect total intensity within 1.1 Rs.
- step 3: derive averaged temperature(Te) and Emisison Measure(EM)
for each pair.
- step 4: convert Te and EM to solar irradiance in the unit of W/m^2.
- Finish Step 1 and 2.
- Learn how to connect monthly files.
- Week 4 (6/19 -- 6/23) :
- Learn about Filter Ratio Method and finish Step 3.
- Learn how to make IDL procedures and process in a sequence
- Present at the bi-weekly group meeting.
- Week 5 (6/26 -- 6/30) :
- Learn about coronal emission mechanism
- Learn how to calculate irradiance.
- Finish Step 4
- Week 6 (7/3 -- 7/7) :
- Expand data period from 2015 to date
(use file pairs found by the past analysis).
- Prepare for the mid-term presentation (well done!).
- Week 7 (7/10 -- 7/14) :
- Expand data period from 2015 to date (continued).
- Start independent project (sharing motivation).
- Mask image consideration.
- Week 8 (7/17 -- 7/21) :
- independent study : latitude dependence of X-ray irradiance.
- mask shape determination
- program modification
- Week 9 (7/24 -- 7/28) :
- Week 10 (7/31-- 8/4) :
Resources
* Image created by S. Boland, 2022.
memo for the 6/13 meeting
memo for the 6/14 meeting
- Performed image pair selection with Anne and Rhiannon independently
(2022/03---2023/04).
Removal list by
Anne and by
Rhiannon and
final .
- Weird images found in 2022.
20220505 06:28:09
: noisy square with bright bar
20220702 06:24:28
: noisy square with bright bar
20220721 23:12:06
: telescope moved while taking synoptic image set
(program started too early)
memo for the 6/26 meeting
memo for the 7/21 meeting
Anne's irradiance sample plots
Aki Takeda (Research Scientist, Dept. of Physics at MSU)