196 views
# `NOT` Guidelines Version: 2023-08-05 ## General Notes Soft ToO (submit at latest 2 PM Stockholm time) and hard ToO (override, can also override visitor, but that *rarely* happens) Every Monday a observing time reminder is sent via the `#pypeit` channel on the `ztftransient` Slack -> that is already the cleaned version (compared to [here](https://www.not.iac.es/observing/schedules/schedule.php?period=67&output=html)) - if half night available is shown; it is not clear which half (the part with the Spanish time I did not get) ## Standard stars The standard stars can be found [here](https://www.not.iac.es/instruments/alfosc/fluxstandard.html), but choose only the ESO/HST standards (they are well behaved and are included in `pypeit`), with a preference for the blue ones. One standard per night is enough. If you schedule two obs ore more, add the standard only to your most important observation. ## Visibility Use [betterNOT](https://github.com/simeonreusch/betterNOT) It can also plot the standard stars. Minimum moon separation: 30 deg ## Triggering Choose the current program: (at the moment: 68-001) Submission is done using this amazing frontend [here](https://www.not.iac.es/observing/forms/ob/login.php) - Usually we observe with ALFOSC (no time at NOTCam) - Priority: 1 (highest) - 5 (lowest) - Nevr submit an Observing Block (OB) that is valid for multiple nights - NOTE: One can import OBs from previous proposals, but these will be auto-flagged as "Monitoring". Always make sure that the correct observing mode is selected (Hard or soft ToO) - For a given spec target, always submit 2 OBs: One for good seeing, one for bad seeing. Name format: `DATE_ZTFID_seeing_i_i` (e.g. `20230615_ztfabacdfd_1_0`). - Cloud conditions: "Thin" is usually fine. "Moon" select "Any", but check yourself with the visibility plot - Details of the OB: - If it is red, it is not marked as "verified" yet. Submit block to make them green. - Change date of OB ### Notes on the sequence - Always import the finding chart first, or "Save Draft" first (otherwise, everything will be overwritten after import) - Finding chart: Fritz/ALERCE works fine - they are also saved to a DB, so you can get them from that for multiple obs of the same target - Fritz: Change to 5 arcmin when creating the chart, and remove the reference stars. Print as `.pdf` and convert to `.png` or `.jpg` - Press "Unlink" first when doing shenanigans in the finding chart DB - in general: There is a **high chance** of the finding chart disappearing! Always check it is there and the correct version before submitting. - For each of the OB, no matter if standard or sci image, **always** obtain arcs and flats. - Arcs: Do Helium/Neon **plus** Thorium/Argon - Flat: Use the Halogen Flat - The exposures for both are hard coded to 14 s, you don't have to change that - The standard exp time is documented on the [standards page](https://www.not.iac.es/instruments/alfosc/fluxstandard.html) ### Notes on Exposure - **Minimal exposure time: 600 s** - **Maximum integrated exp time: 1.5 hours** for total execution time of the highest priority targets - Not much fainter than 20-20.5 mag - Prioritize S/N - Exposure time calculator is [here](https://www.not.iac.es/observing/forms/signal/index.php) ### ADC Atmospheric Dispersion Corrector: If you observe with a position angle that is not the parallactic angle, use the ADC; but **only** in that case. ### Imaging - Put imaging requests in a separate OB (do not include it in the spec OB) - Do not worry about calibration except triggering lamps, the rest is done automatically on a nightly basis ## Data reduction ### Data access Go [here](https://data.not.iac.es:5001/sharing/fGsCYVWU5) to download the observations. ### Install instructions: - [`pypeit`](https://pypeit.readthedocs.io/en/release/installing.html), and for this a custom [NOT environment](https://gitlab.com/steveschulze/pypeit_alfosc_env) Or, alternatively, use - [`PyNOT`](https://github.com/steveschulze/PyNOT) ### Custom `pypeit` environment `pypeit` is a multi-instrument spectroscopy framework, and it has all the instrument settings to do deal with ALFOSC data. Danger with out of the box usage is that you lose S/N (because of overzealous sky-subtraction in the IR). Usage is nicely explained [here](https://gitlab.com/steveschulze/pypeit_alfosc_env). Do everything within the `pypeit_alfosc_env` directory. First, we define a date variable and one for the standard star we want to use in the flux calibration: ```bash DATE="2023-07-24" STANDARD="SP1550+330" ``` Copy all the files in a flat `2023-07-24` directory in `raw`. ```bash cp /Users/simeon/Downloads/${DATE}.zip /Users/simeon/not/pypeit_alfosc_env/raw/ unzip /Users/simeon/not/pypeit_alfosc_env/raw/${DATE}.zip -d /Users/simeon/not/pypeit_alfosc_env/raw mv /Users/simeon/not/pypeit_alfosc_env/raw/${DATE}/alfosc/*.fits /Users/simeon/not/pypeit_alfosc_env/raw/${DATE}/ mv /Users/simeon/not/pypeit_alfosc_env/raw/${DATE}/alfosc/calib/*.fits /Users/simeon/not/pypeit_alfosc_env/raw/${DATE}/ rm -rf /Users/simeon/not/pypeit_alfosc_env/raw/${DATE}/alfosc/calib /Users/simeon/not/pypeit_alfosc_env/raw/${DATE}/alfosc rm /Users/simeon/not/pypeit_alfosc_env/raw/${DATE}.zip ``` Then, create `.pypeit` instruction files by issuing ``` bash scripts/create_datasets.py $DATE ``` Then, do the **actual reduction**: ``` bash ls datasets/$DATE*pypeit | grep "ZTF\|$STANDARD" | xargs -n 1 -P 4 run_pypeit ``` This grabs everything in the folder, creates 1 output (-n 1), uses 4 parallel session (`-P 4`) and executes `run_pypeit`. Now we create a **sensitivity function**: ```bash scripts/create_sensfunc.py $DATE ``` Finally, for **flux calibration** issue ``` bash ls sci/$DATE-ZTF${DATE:2:2}a*/spec1d*.fits | grep ZTF | xargs -n 1 -P 1 scripts/apply_fluxcal.py ``` This grabs all the 1D spectra, generates 1 output (`-n 1`), uses 1 session (`-P 1`) and runs `scripts/apply_fluxcal.py` (we can only use 1 session, otherwise the processes talk to each other and make a mess). Now, in case we have multiple exposures, we **combine the spectra**: ```bash OBJ="ZTF23aatekmu" scripts/combine_spectra.py -o sci/${DATE}-${OBJ}/${OBJ}_combined.fits sci/${DATE}-${OBJ}/spec1d_*.fits ``` Now we can produced ascii and previews: ```bash scripts/convert_spec1d.py sci/${DATE}-${OBJ}/${OBJ}_combined.fits datasets/${DATE}-${OBJ}.pypeit --obs-name "Simeon Reusch" --red-name "Simeon Reusch" ``` Note: `check the .pypeit` files to see if there are calibrations missing. NOTE: PUT EVERYTHING ON FRITZ AND WISEREP ### `PyNOT` `PyNOT` is more tied to ALFOSC, and it can also do imaging. ## Bookkeeping Please protocol everything [here](https://docs.google.com/spreadsheets/d/1daAm0Jae3mu89YakgY5321Du6HtLYe1-eWkyQ8GlMRw/edit#gid=0)