Summer final results¶

Stage 1: Creating Colored JPGs of Panstarrs Data for Planck's Unconfirmed Clusters

All information is located in /data1/users/hhead/CLUSTER_CANDIDATE_JPEGS/

Included in this directory is the main_script.sh that makes the jpegs, an automator_script.sh which takes in a list of cluster IDs to mass-produce jpegs, a chart with information on each cluster (ex. if a cluster is visible or if photometric issues are present within the image), three directories named for the types of classification (NOT_CLUSTERS, POTENTIAL_CLUSTERS, and UNCERTAIN_CANDIDATES), and a README.txt to explain how to work the codes.

Stage 2: Source Extraction Code

The code for making the SExtractor catalog files can be found at /home/moon/hhead/nextstage.sh

This code goes through the whole process of finding the images of the cluster, unpacking them, running the SExtractor script, and putting these files into a new directory.

Stage 3: Data Ingestion

Before the unfortunate crash of the database, the next step before SLR could be run was using a data ingestion process. This was done using /home/moon/hhead/ingestclusterdata.sh.

Stage 4: SLR

Part 1:
Originally, SLR was completed using the script at /home/moon/hhead/PHOT_CAL/runslr.sh
A slight mistype in one of the options meant that many had to be redone, but shortly after beginning this process, the database crashed. Therefore, a new method had to be found to continue with the SLR process.

Part 2:
A Python code was eventually found for the purposes of this project. The code is located at /home/moon/hhead/PHOT_CAL/SDSS_SLR/big-macs-calibrate/fit_locus.py. And example of how to run this code can be found in example 3 of the README file within this same directory. In order to run this code, we had to make a columns file, a filters file (available at /home/moon/hhead/PHOT_CAL/SDSS_SLR/big-macs-calibrate/FILTERS/SDSS-?.res) , and test the boostrap option to get the best results.
Before this code can be run though, the script /home/moon/hhead/PHOT_CAL/SDSS_SLR/big-macs-calibrate/SDSS_makingplotinfo.sh must be run on the cluster. And after the SLR code is successful, the script in the same directory called createinputforredsequencer.sh must also be run for the next step.

Stage 5: Red-sequencer code

This code was developed by Christina Hennig and Jiayi Liu.

(WIP. WILL FINISH SOON.)