Central repository to host AMPEL code to search for and analyze nuclear transients. At the moment, this is exclusively code from the ZTFbh science working group.

You need to export environment variables for the AMPEL ZTF archive (tokens are available here), for Fritz, and for the dropbox API (ask Sjoert).

Furthermore, you need a running instance of MongoDB. On macOS, make sure you have the command line tools installed (in doubt, run xcode-select –install).

Create a fresh Python 3.10 conda env

conda create -n tde_filter_upgrade python=3.10
conda activate tde_filter_upgrade

Install is done via poetry:

pip install poetry 
git clone https://github.com/AmpelProject/ampel-nuclear
cd Ampel-nuclear
poetry install

Now we have to build the ampel config and install it in the conda env. Issue

ampel config install

Note: this will throw some import errors, but you can ignore these because those packages are not needed locally.

Now you need to export the following tokens

export AMPEL_ARCHIVE_TOKEN='' 
export DROPBOX_TOKEN=''
export FRITZ_TOKEN=''

To run the test, start your local MongoDB. And then issue

./run_tde_scan.py -i

If you cannot execute the file, issue chmod +x run_tde_scan.py.

Note: To push the result of a run to the dropbox, add -p.

The -i initiates (and saves) a new archive API stream token. To request one day, use -d YYYY-MM-DD for a certain day. The script will request alerts for the 24 hours after this date.

Your can also use --daysago n to scan the last n days.

Note: When requesting a full day with -d or the last n days with --daysago n from the archive, the first run will probably fail, as the archive database has not fully ramped up yet (URL is locked). In this case, just rerun ./run_tde_scan.py, without any parameters except for -p if you want to enable dropbox-push to prevent requesting a new stream token and overwriting the current one until the archive starts serving alerts (you will see them getting ingested).

To check the output, go to the temp directory that gets created when script is run without -p (push to dropbox), or check the dropbox.

To see all available commands of the test script, run ./run_tde_scan.py -h.

./run_tde_scan.py -i --daysago 4 -p

This will perform a search for the last 4 days and push the results to the dropbox.

./run_tde_scan.py -i -d 2022-10-06

This will perform a search for October 6, 2022 and save the result in a local directory.

Create a long-lived screen or tmux session on the DESY working group server, everything we will do from here will live in that session.

Think of a good channel name, we will use this later to extract statistics and the ZTF-IDs

Change this accordingly in the nuclearfilter.yml (name, prefix in the mongo section, and channel)

notebooks/run_nuclearfilter.py is the script you need.

Enter the desired date range in this script (under date_start and date_end near the bottom of the script).

Then run notebooks/run_nuclearfilter.py --initiate to obtain a new stream token for this date range. This will end in an error (423 Client Error: Locked for url) but do not fret. This is expected, the archive needs to ramp up the query.

We are only interested in the new stream token generated, which can be found in the resume_token.json. Copy this token, and enter it in nuclearfilter.yml at line 27 (there will be an old token there, change it).

For some time (~ 15 minutes)

ampel job --schema nuclearfilter.yml  --config ampel_conf.yaml 2>&1 | mail -s "Nuclear filter archival run: Job finished" "simeon.reusch@desy.de"

Change the mail address in the command above accordingly.

If you immediately receive a mail, the archive has not yet ramped up. Wait for a bit and try again.

Finally, it will start receiving alerts from the archive. Now there is nothing left to do except to wait until you get an email that your job has finished.

The list of all transients that pass the nuclear filter is now stored in TransientTable.csv

The log data can be inspected in the MongoDB under channelname (insert yours here) - log The code to evaluate that is located under ampel-nuclear/get_statistics.py