From d7e54aebef04db2a660e04bded2c1d645566754a Mon Sep 17 00:00:00 2001 From: pcubillos Date: Thu, 8 Aug 2024 11:03:56 +0200 Subject: [PATCH] Added tutorials_tso_post_processing.qmd docs. This completes the basic for the docs. --- docs/get_started.qmd | 2 +- .../WASP80b_nirspec_transit_tutorial.png | Bin 0 -> 311116 bytes docs/tutorials.qmd | 7 +- docs/tutorials_tso_post_processing.qmd | 167 ++++++++++++++++++ docs/tutorials_tso_run.qmd | 14 +- 5 files changed, 181 insertions(+), 9 deletions(-) create mode 100644 docs/images/WASP80b_nirspec_transit_tutorial.png create mode 100644 docs/tutorials_tso_post_processing.qmd diff --git a/docs/get_started.qmd b/docs/get_started.qmd index afd8b17..0c7d8ec 100644 --- a/docs/get_started.qmd +++ b/docs/get_started.qmd @@ -67,7 +67,7 @@ Once a Pandeia simulation has finished: - The TSO tab shows [interactive displays](run_pandeia.qmd#figures) of the transit/eclipse depth, S/N, and more - The *Results* panel shows a [text summary](run_pandeia.qmd#text-outputs) of the simulation, as seen in the official ETC - The warnings tab alerts users of potential risks -- Finally, [TSO runs can be saved](run_pandeia.qmd#collecting-outputs) into Python pickle files for later use +- Finally, [TSO runs can be saved](run_pandeia.qmd#collecting-outputs) into Python pickle files for [later use](tutorials_tso_post_processing.qmd) --- diff --git a/docs/images/WASP80b_nirspec_transit_tutorial.png b/docs/images/WASP80b_nirspec_transit_tutorial.png new file mode 100644 index 0000000000000000000000000000000000000000..3d5c0bb7942b664e17772528ba0bce3380b06929 GIT binary patch literal 311116 zcmeFZXHb<{*9C}eYHgIa%_zYDC`ynh85I+fluHIdB}tYj5^cN1L{Oq+QMhmcK`uGd zq97okY@}_(j~|w3Y+K#>C;q6+2@Fr7I5CEo~eu&93fsGPbif zv#}Q96XO%)*?Y~w;kvy9Kfl%gynxTf&Xj-e{L*WD$cF3ZwCx!f_zsZ&RyoJXIx(zb zV30p`Ld`j1sN;q+rDu70Oj9D}_l)# zvGnK~eEmN^Z^xwQ694`IzuvNV#6X_(pPyqVe%bZ!?->|AuGw(;zkj;EmE#sh{LfE` z(*M5k^1qY8!0^A5^S?Xie^1AM&%^(Qj{o0<$6GwYR&BzqmZJ5;vt!-btUFd#^KDGQ z&xEn};5{Fo#wcmm49{hc(`U{c78F#qwY9AbIOsS2tvbn{Q{k|fnAYEa|2;l6RXuP$ zJt+K`%|Nv0(udEbcegV$)B5_Z_0&Y_{_)2jhqdXk15GcIep$QGsAYC+Y;3MK+B3s- z#`^TBQ+?CJ?UmujQY(Xblkyw~6OAhTnMFlEr7)Jh|6}!f@}f(*cBdadew=6D>$|Y9 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z&42a3fAGJzd{e~#M~}Jn|L8Gq`5(Q(dH>liKliHt_lEOFf-Hu2#5iBvDesM8H?3;O P*NVqgkEP4~{m*{@vam=u literal 0 HcmV?d00001 diff --git a/docs/tutorials.qmd b/docs/tutorials.qmd index 81c1cc9..279aa63 100644 --- a/docs/tutorials.qmd +++ b/docs/tutorials.qmd @@ -5,6 +5,11 @@ page-navigation: true ## A few tutorials to play at home +**Time series observation simulations:** + - [Set up and run a Pandeia TSO calculation](tutorials_tso_run.qmd) -- [Compute simulated spectra from a saved TSO file](tutorials_tso_run.qmd) +- [Compute simulated spectra from a saved TSO file](tutorials_tso_post_processing.qmd) + +**Databases:** + - [Display and parse existing JWST programs](tutorials_jwst_programs.qmd) diff --git a/docs/tutorials_tso_post_processing.qmd b/docs/tutorials_tso_post_processing.qmd new file mode 100644 index 0000000..cd80319 --- /dev/null +++ b/docs/tutorials_tso_post_processing.qmd @@ -0,0 +1,167 @@ +--- +title: Picking up a TSO run +page-navigation: true +--- + +## Simulated transit/eclipse spectra + +Say you [ran and saved a TSO simulation](get_started.qmd) for your favorite planet.
+Lets pickup that pickle file and generate some simulated transit depth spectra: + +```python +import pickle +import gen_tso.pandeia_io as jwst + +import matplotlib.pyplot as plt +import pyratbay.constants as pc +plt.ion() + +with open('tso_transit_WASP-80b_nirspec_bots_g395h.pickle', 'rb') as f: + tso = pickle.load(f) + +# Draw a simulated transit spectrum at selected resolution +# - Set n_obs to simulate repeated observations to improve the S/N +# - Set noiseless=True to simulate spectra with no scatter noise +obs_wl, obs_depth, obs_error, band_widths = jwst.simulate_tso( + tso, resolution=250.0, n_obs=1, +) + + +# Plot the results: +plt.figure(4) +plt.clf() +plt.plot( +tso['wl'], tso['depth_spectrum']/pc.percent, + c='salmon', label='depth at instrumental resolution', +) +plt.errorbar( + obs_wl, obs_depth/pc.percent, yerr=obs_error/pc.percent, + fmt='o', ms=5, color='xkcd:blue', mfc=(1,1,1,0.85), + label='simulated (noised up) transit spectrum', +) +plt.legend(loc='best') +plt.xlim(2.8, 5.25) +plt.ylim(2.89, 3.02) +plt.xlabel('Wavelength (um)') +plt.ylabel('Transit depth (%)') +plt.title('WASP-80 b / NIRSpec G395H') +``` + +![](images/WASP80b_nirspec_transit_tutorial.png){width=600px} + + +## The TSO pickle file content + + +```python +# This is the content of the pickle file: +print(*list(tso), sep='\n') +``` + +```bash +wl +depth_spectrum +time_in +flux_in +var_in +time_out +flux_out +var_out +report_in +report_out +``` + +That is, the true-model spectrum (the user input model): + +- **wl**: Wavelenght array (um) over the simulated detector at instrumental resolution +- **depth_spectrum**: Transit/eclipse depth spectrum at instrumental resolution + +Timings: + +- **time_in**: Time spent collecting flux (s) during transit/eclipse +- **time_out**: Time spent collecting flux (s) out of transit/eclipse + +Flux rates and noise spectra: + +- **flux_in**: Flux rate of source (e-/s) during transit/eclipse +- **flux_out**: Flux rate of source (e-/s) out of transit/eclipse +- **var_in**: Last-minus-first (LMF) variance of flux rate during transit/eclipse +- **var_out**: Last-minus-first (LMF) variance of flux rate out of transit/eclipse + +Pandeia reports: + +- **report_in**: Pandeia report during transit/eclipse +- **report_out**: Pandeia report out of transit/eclipse + +Inside the Pandeia reports you can find all the important info, e.g., for the APT or ETC: + +```python +print(*list(tso['report_in']), sep='\n') +``` + +```bash +sub_reports +input +1d +2d +3d +scalar +information +transform +warnings +web_report +``` + +The input instrumental configuration: +```python +tso['report_in']['input']['configuration'] +``` + +```bash +{'detector': {'nexp': 1, + 'ngroup': 12, + 'nint': 654, + 'readout_pattern': 'nrsrapid', + 'subarray': 'sub2048', + 'max_total_groups': 7848}, + 'instrument': {'aperture': 's1600a1', + 'disperser': 'g395h', + 'filter': 'f290lp', + 'instrument': 'nirspec', + 'mode': 'bots'}} +``` + +Output info and stats: +```python +tso['report_in']['scalar'] +``` + +```bash +{'total_exposure_time': 7682.1979200000005, + 'all_dithers_time': 7682.1979200000005, + 'exposure_time': 7682.1979200000005, + 'measurement_time': 6488.988, + 'saturation_time': 10.824, + 'total_integrations': 654, + 'duty_cycle': 0.921467537509109, + 'cr_ramp_rate': 0.0025249442969293733, + 'extraction_area': 6.60377358490566, + 'background_area': 15.09433962264151, + 'fraction_saturation': 0.6423806, + 'sat_ngroups': 18, + 'brightest_pixel': 3857.607, + 'filter': 'f290lp', + 'disperser': 'g395h', + 'x_offset': 0, + 'y_offset': 0, + 'aperture_size': 0.7, + 'sn': 5852.06580539357, + 'extracted_flux': 5999.726482570287, + 'extracted_noise': 1.0252322311619642, + 'background_total': 14.10125780745106, + 'background_sky': 0.07178441201334484, + 'contamination': 0.9949093610659743, + 'reference_wavelength': 2.9502564180027684, + 'background': 0.14797295413227118} +``` + diff --git a/docs/tutorials_tso_run.qmd b/docs/tutorials_tso_run.qmd index c8a1475..57fc754 100644 --- a/docs/tutorials_tso_run.qmd +++ b/docs/tutorials_tso_run.qmd @@ -152,6 +152,11 @@ tso = pando.tso_calculation( ) ``` +::: {.callout-note} +At the moment is best to use [the `Gen TSO` application](get_started.qmd) to check for the optimal number of groups. +::: + + Thats it, now we can generate some transit-depth simulated spectra: ```python @@ -210,13 +215,8 @@ plt.tight_layout() The latest TSO run for a given Pandeia object can be saved with this method: ```python -pando.save_tso(filename='tso_WASP-80b_nircam_lw_f444w.picke') +pando.save_tso(filename='tso_transit_WASP-80b_nircam_lw_f444w.picke') ``` -Later you can open the saved TSO with `pickle`: +See [this tutorial](tutorials_tso_post_processing.qmd) to load that pickle file and simulate some spectra. -```python -import pickle -with open('tso_WASP-80b_nircam_lw_f444w.picke', 'rb') as f: - tso = pickle.load(f) -```