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Incorporating the Gammapy wrapper in agnpy #119

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Aug 10, 2022
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d0b5864
added first instance of Gammapy wrapper for agnpy
cosimoNigro Apr 26, 2022
5785b32
added also EC model
cosimoNigro Apr 27, 2022
a146a9a
started working on Quentin suggestions
cosimoNigro May 5, 2022
170ed5a
added Gammapy installation to test configuration
cosimoNigro May 5, 2022
7008f75
properly added separation of parameters and setting of ranges and scales
cosimoNigro May 9, 2022
90cf385
re-ordered the Gammapy wrapper, set parameters and scaling for all th…
cosimoNigro May 10, 2022
5f3402d
added some tests, quite some discrepancy between agnpy and the Gammap…
cosimoNigro May 10, 2022
e226518
added norm as the last of the parameters, will explain in the docs no…
cosimoNigro May 10, 2022
6ada321
fix failing test in PR #119
cosimoNigro May 10, 2022
73bf2a2
install dev version of Gammapy in the test workflow
cosimoNigro May 10, 2022
4956918
inverted order of installation Gammapy / agnpy to check if the astrop…
cosimoNigro May 11, 2022
dda1618
removed python 3.7 from the tests
cosimoNigro May 20, 2022
1d3bab2
Merge branch 'gammapy_model' of github.com:cosimoNigro/agnpy into gam…
cosimoNigro May 20, 2022
5427032
added a cleverer parameter separation, modified the ExternalComptonSp…
cosimoNigro May 31, 2022
f41d5db
added tests for the new ExternalComptonSpectralModel class
cosimoNigro May 31, 2022
60b69a9
increased minimum required python version to 3.8, for compatibility w…
cosimoNigro May 31, 2022
5de674a
modified workflow config
cosimoNigro May 31, 2022
c13fca7
added tests for EC on different targets
cosimoNigro Jun 3, 2022
99ee722
updated Mrk421 2011 data with proper provenance
cosimoNigro Jun 3, 2022
5e01dee
re-generate Mrk421 and PKS1510-089 SED data
cosimoNigro Jun 3, 2022
7b18716
improved Gammapy wrapper tests with numerical check
cosimoNigro Jun 3, 2022
0a1c8f6
solved failing test by reducing the comparison range for Synch and SS…
cosimoNigro Jun 4, 2022
75af26b
produced standardised MWL SED data
cosimoNigro Jun 20, 2022
fc6342a
started to update the SSC notebook
cosimoNigro Jun 20, 2022
e1764cf
added small script to check the speed of the fit with Gammapy
cosimoNigro Jun 20, 2022
8d564e7
added t_var among the parameters and function to add systematics to f…
cosimoNigro Jul 9, 2022
512a359
corrected EC model not to use agnpy.targets for initialisation
cosimoNigro Jul 11, 2022
aa2c88f
updated EC and SSC tutorials to new Gammapy version and added tutoria…
cosimoNigro Jul 11, 2022
8d2583f
removed experiments/check_gammapy_fit.py
cosimoNigro Jul 11, 2022
5c445d1
try to improve the fit
cosimoNigro Jul 12, 2022
a01c8a9
updated tests, something off in the thermal components of the EC scen…
cosimoNigro Jul 15, 2022
12b840b
updated notebook
cosimoNigro Jul 15, 2022
3b40038
modified Gammapy wrapper to use log10
cosimoNigro Jul 16, 2022
06f8101
re-run notebooks, EC fit still not converging
cosimoNigro Jul 16, 2022
056b259
updated the notebooks, notebook with Gammapy fit definitive [ci skip]
cosimoNigro Jul 18, 2022
fbf1e04
imporved description of Mrk421 notebooks both for simple fitting and …
cosimoNigro Jul 18, 2022
42f9e1b
final version od the SSC Gammapy fit tutorial
cosimoNigro Jul 18, 2022
bc09504
finsihed and polished MCMC tutorial
cosimoNigro Jul 19, 2022
1d369f3
discrepancy left in the EC computation
cosimoNigro Jul 19, 2022
1f9f407
corrected improper multiplication of frequency in BB spectrum computa…
cosimoNigro Jul 22, 2022
82968a0
finally got matching EC models for agnpy and Gammapy wrappers
cosimoNigro Jul 22, 2022
552cd39
re-run notebooks, EC fit of PKS1510-089 failing, to be checked
cosimoNigro Jul 22, 2022
a56e8fb
fix failing test
cosimoNigro Jul 22, 2022
d9ff1ca
minor fix in nuFnu expression of DT BB radiation
cosimoNigro Jul 26, 2022
b322308
increased the Lorenz factor grid in the wrapper tests
cosimoNigro Jul 26, 2022
d7a9a87
added SSA option in EC wrapper model
cosimoNigro Jul 26, 2022
a843494
corrected normalisation of BB spectra
cosimoNigro Jul 27, 2022
167d734
change the boundary of log10_k_e
cosimoNigro Jul 28, 2022
6251a7f
started to modify the docs to better include the new notebooks [ci skip]
cosimoNigro Jul 28, 2022
e048c2e
corrected small error in the emission region params for EC [ci skip]
cosimoNigro Jul 29, 2022
e9b1dda
re-formatted notebook, gammapy fit of PKS1510-089 still not convergin…
cosimoNigro Jul 29, 2022
c702462
started refactoring of class for fitting, removed wrapper sub-module
cosimoNigro Aug 1, 2022
7727b06
refactoring of the sub-module for fitting, added core class handling …
cosimoNigro Aug 1, 2022
6c03ff5
redefined gammapy wrapper to use the parameters defined in agnpy/fit/…
cosimoNigro Aug 1, 2022
cbfd01b
added sherpa wrapper using functions and parameters in core, evaluati…
cosimoNigro Aug 1, 2022
a48a623
added fit/models to handle the gammapy or sherpa backends
cosimoNigro Aug 1, 2022
706f0ad
changed submodule name from wrapper to fit in agnpy/__init__.py
cosimoNigro Aug 1, 2022
1957d85
make the wrapper work for the SSC scenario
cosimoNigro Aug 1, 2022
d67538f
improved general parameters handling for Gammapy wrapper, completed E…
cosimoNigro Aug 2, 2022
6670956
minor bug in functions to sort disk parameters fixed
cosimoNigro Aug 2, 2022
903a3a7
small fixes in EC parameters
cosimoNigro Aug 3, 2022
c179345
added sherpa wrappers for SSC and EC scenarios
cosimoNigro Aug 3, 2022
fe8fd63
set the L_disk as a log-scaled parameters, to allow adjustment during…
cosimoNigro Aug 3, 2022
22a3a25
fixed tests for gammapy wrapper
cosimoNigro Aug 3, 2022
c624147
added option to raise an error in case of unavailable backend
cosimoNigro Aug 3, 2022
869983e
added functionalities, to sherpa and Gammapy wrappers, to initialise …
cosimoNigro Aug 3, 2022
d677b4c
all tests for agnpy and sherpa wrappers passing, missing tests on fit…
cosimoNigro Aug 3, 2022
b2e49e5
added pip install sherpa to github CI workflow
cosimoNigro Aug 3, 2022
6f3b026
removing incomplete function accidentally left incomplete in agnpy/te…
cosimoNigro Aug 3, 2022
ea10a75
added separated test sub-module to perform the Mrk421 and PKS1501-089…
cosimoNigro Aug 4, 2022
0d728f4
added functions to directly load flux points through sherpa and gammapy
cosimoNigro Aug 5, 2022
5108af9
moved function to add systematics to gammapy FluxPoints to agnpy.fit.…
cosimoNigro Aug 5, 2022
b8dd4e8
made also the sherpa wrapper use energy as dependent variable (was us…
cosimoNigro Aug 5, 2022
9bafdce
added utilities to compute flux points to the tests
cosimoNigro Aug 5, 2022
7b9289a
modified the two SSC fit tutorials to use the new wrappers
cosimoNigro Aug 5, 2022
5228546
tried to fix the normalisation of the DT and disk black bodies. Adopt…
cosimoNigro Aug 10, 2022
f107995
finally got the same results with sherpa and gammapy for the fit of P…
cosimoNigro Aug 10, 2022
5bf39b2
re-run all the notebooks
cosimoNigro Aug 10, 2022
61638be
adapted the docs to include the new notebook tutorials
cosimoNigro Aug 10, 2022
98dbda4
added the final version of the page of the docs gathering all the fit…
cosimoNigro Aug 10, 2022
d9e3a79
changed agnpy.fit.utils to agnpy.utils.data, to avoid import conflicts
cosimoNigro Aug 10, 2022
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4 changes: 3 additions & 1 deletion .github/workflows/test.yml
Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,7 @@ jobs:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: [3.7, 3.8, 3.9]
python-version: [3.8, 3.9, 3.10.0]

steps:
- uses: actions/checkout@v2
Expand All @@ -25,6 +25,8 @@ jobs:
python -m pip install --upgrade pip
pip install flake8 pytest pytest-cov
python -m pip install .
python -m pip install gammapy
python -m pip install sherpa
- name: Lint with flake8
run: |
# stop the build if there are Python syntax errors or undefined names
Expand Down
1 change: 1 addition & 0 deletions agnpy/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -6,3 +6,4 @@
from .absorption import *
from .constraints import *
from .utils import *
from .fit import *
216 changes: 109 additions & 107 deletions agnpy/data/mwl_seds/Mrk421_2011.ecsv
Original file line number Diff line number Diff line change
Expand Up @@ -3,117 +3,119 @@
# datatype:
# - {name: e_ref, unit: eV, datatype: float64}
# - {name: e2dnde, unit: erg / (cm2 s), datatype: float64}
# - {name: e2dnde_err, unit: erg / (cm2 s), datatype: float64}
# - {name: e2dnde_errn, unit: erg / (cm2 s), datatype: float64}
# - {name: e2dnde_errp, unit: erg / (cm2 s), datatype: float64}
# - {name: instrument, datatype: string}
# meta: !!omap
# - {SED_TYPE: e2dnde}
# - {source: Mrk421}
# - {period: '2009'}
# - {reference: 'https://ui.adsabs.harvard.edu/abs/2011ApJ...736..131A/abstract'}
# - {redshift: 0.03}
# schema: astropy-2.0
e_ref e2dnde e2dnde_err
9.51013329578429e-06 1.3409e-14 3.91e-16
1.9847234704245474e-05 2.3136e-14 2.4e-16
1.987204457475932e-05 1.773414e-14 1.773414e-15
3.183827233806045e-05 3.696e-14 4.62e-16
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6.172405459972617e-05 6.368235e-14 1.621386e-16
6.20336506835179e-05 3.855e-14 2.709359e-15
6.20336506835179e-05 4.8375e-14 3.395769e-15
6.3533905497254e-05 4.978422e-14 4.978422e-15
9.09837381287546e-05 1.122e-13 4.943885e-14
9.179346050713533e-05 6.7932e-14 6.216e-15
9.842781591318663e-05 7.117545e-14 7.117546e-15
0.0001530197047861828 1.462923e-13 8.140199e-15
0.00017869748652290545 1.153907e-13 1.153907e-14
0.00017871026573608892 7.199119e-14 7.216404e-15
0.00017871026573608892 9.096126e-14 9.117732e-15
0.0009512035702924876 5.681e-13 4.753333e-14
0.5809785980638636 6.062274e-11 5.669552e-13
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0.9970383482439553 6.163756e-11 7.916657e-13
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1.7947081502555324 6.649275e-11 1.165315e-13
1.7947081502555324 7.199342e-11 2.468092e-13
1.8989244948173956 9.270129e-11 8.574353e-13
1.949387084921721 7.753473e-11 1.600079e-13
1.949387084921721 9.794059e-11 2.883171e-13
2.152200642345637 7.893424e-11 1.446908e-13
2.2590286610581076 9.097549e-11 1.656096e-13
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2.597251836647934 9.460537e-11 6.613772e-13
2.7478079241870597 8.150921e-11 2.025489e-13
2.836247937185467 8.796137e-11 2.840166e-13
4.966266925838653 1.19939e-10 6.50751e-13
5.720587899751383 1.375669e-10 5.290993e-13
6.742317011279513 1.42996e-10 6.075196e-13
345.39173519229 2.9752e-10 1.061128e-12
415.25122714534297 3.038032e-10 9.43548e-13
499.24084813509086 3.016012e-10 9.226051e-13
600.2177241899535 3.08321e-10 9.560387e-13
721.6190087328443 3.106028e-10 8.797329e-13
867.5749930926812 3.017214e-10 7.934078e-13
1043.0522006067 2.91174e-10 7.512085e-13
1254.0217082957192 2.773099e-10 7.288943e-13
2530.725899641987 2.189431e-10 1.096225e-12
3024.3323141067885 2.026132e-10 1.12251e-12
3456.6270413979246 2.275909e-10 5.963279e-13
3614.2150047221294 1.815045e-10 1.134076e-12
3858.8091450542183 2.137195e-10 5.745879e-13
4261.462301261192 2.034302e-10 5.78577e-13
4319.150729965583 1.599814e-10 1.161699e-12
4664.619595360421 1.92766e-10 5.965604e-13
5068.285576586371 1.831281e-10 6.300546e-13
5161.582104161276 1.371831e-10 1.268533e-12
5472.472651942134 1.714314e-10 6.651987e-13
5877.1932284307995 1.650449e-10 6.97588e-13
6168.323555955753 1.182152e-10 1.516473e-12
6282.447306052368 1.584728e-10 7.223261e-13
6688.239020474536 1.506239e-10 7.457634e-13
7094.560100361912 1.455495e-10 7.819029e-13
7371.430645667873 9.858767e-11 2.038083e-12
7501.422952717584 1.374508e-10 8.202885e-13
7908.81930620616 1.319425e-10 8.654677e-13
8316.745025159942 1.293873e-10 9.133146e-13
8725.200109578931 1.236334e-10 9.587381e-13
8809.191384835756 8.460679e-11 3.45022e-12
9134.180423795427 1.184789e-10 1.011287e-12
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10348.491037298514 1.076853e-10 7.17767e-13
11584.790995946145 9.785241e-11 9.049351e-13
13214.740348657775 8.746557e-11 9.949986e-13
14966.629863413207 5.219438e-11 7.539957e-12
15296.90015002185 7.450991e-11 1.552041e-12
16970.563510289965 5.2567e-11 7.685355e-12
17389.324678609686 6.377387e-11 2.580904e-12
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397971125.450609 2.778789e-11 2.101036e-12
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6309515251.128735 4.949722e-11 6.866338e-12
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100000114058.20316 9.754259e-11 3.560456e-11
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997634711525.8517 3.66834e-11 4.682033e-12
1581145578920.5417 2.247871e-11 4.343216e-12
2505951182303.5645 1.972081e-11 4.407365e-12
3971660763767.2583 7.994215e-12 3.469109e-12
e_ref e2dnde e2dnde_errn e2dnde_errp instrument
9.51013329578429e-06 1.3409e-14 3.91e-16 3.91e-16 RATAN
1.9847234704245474e-05 2.3136e-14 2.4e-16 2.4e-16 RATAN
1.9872048710427018e-05 1.77341e-14 1.77341e-15 1.77341e-15 VLBA(BK150)
3.183827233806045e-05 3.696e-14 4.62e-16 4.62e-16 RATAN
3.419101233416347e-05 2.83627e-14 2.83627e-15 2.83627e-15 VLBA(BK150)
3.46927101824773e-05 3.16345e-14 1.93149e-15 1.93149e-15 Medicina
3.4739567297483445e-05 4.0005e-14 5.04109e-15 5.04109e-15 Noto
4.58968129669216e-05 4.6176e-14 6.66e-16 6.66e-16 RATAN
6.17240132430492e-05 6.36824e-14 1.62139e-16 1.62139e-16 OVRO
6.203377475354881e-05 4.8375e-14 3.39577e-15 3.39577e-15 VLBA(MOJAVE)
6.203377475354881e-05 3.855e-14 2.70936e-15 2.70936e-15 VLBA_core(MOJAVE)
6.353378142722309e-05 4.97842e-14 4.97842e-15 4.97842e-15 VLBA(BK150)
9.09838621987855e-05 1.122e-13 4.94389e-14 4.94389e-14 Noto
9.17936259338432e-05 6.7932e-14 6.216e-15 6.216e-15 RATAN
9.842765048647877e-05 7.11755e-14 7.11755e-15 7.11755e-15 VLBA(BK150)
0.0001530197047861828 1.46292e-13 8.1402e-15 8.1402e-15 Metsahovi
0.00017869765194961331 1.15391e-13 1.15391e-14 1.15391e-14 VLBA(BK150)
0.0001787104725194738 9.09613e-14 9.11773e-15 9.11773e-15 VLBA(BP143)
0.0001787104725194738 7.19912e-14 7.2164e-15 7.2164e-15 VLBA_core(BP143)
0.0009512035702924876 5.681e-13 4.75333e-14 4.75333e-14 SMA
0.5809785980638636 6.06227e-11 5.66955e-13 5.66955e-13 WIRO
0.5871200645937956 4.28893e-11 4.94862e-13 4.94862e-13 OAGH
0.7623524405801565 6.16879e-11 7.27751e-13 7.27751e-13 OAGH
0.9939126105986202 9.56282e-11 5.80879e-13 5.80879e-13 WIRO
0.9970391753774948 6.16376e-11 7.91666e-13 7.91666e-13 OAGH
1.369898567929059 6.08952e-11 1.33452e-13 1.33452e-13 GRT
1.545987027128683 7.56882e-11 3.9855e-13 3.9855e-13 MITSuME
1.794710218089381 7.19934e-11 2.46809e-13 2.46809e-13 GASP
1.794710218089381 6.64927e-11 1.16531e-13 1.16531e-13 GRT
1.8989249083841653 9.27013e-11 8.57435e-13 8.57435e-13 MITSuME
1.9493883256220301 7.75347e-11 1.60008e-13 1.60008e-13 ROVOR
1.9493883256220301 9.79406e-11 2.88317e-13 2.88317e-13 NewMexicoSkies
2.1522014694791762 7.89342e-11 1.44691e-13 1.44691e-13 GRT
2.2590299017584163 9.09755e-11 1.6561e-13 1.6561e-13 ROVOR
2.2590299017584163 1.09529e-10 3.32759e-13 3.32759e-13 NewMexicoSkies
2.597253077348243 9.46054e-11 6.61377e-13 6.61377e-13 MITSuME
2.7478079241870597 8.15092e-11 2.02549e-13 2.02549e-13 GRT
2.8362491778857764 8.79614e-11 2.84017e-13 2.84017e-13 ROVOR
4.966275197174046 1.19939e-10 6.50751e-13 6.50751e-13 Swift/UVOT
5.72057962841599 1.37567e-10 5.29099e-13 5.29099e-13 Swift/UVOT
6.742296332941029 1.42996e-10 6.0752e-13 6.0752e-13 Swift/UVOT
345.3915284089052 2.9752e-10 1.06113e-12 1.06113e-12 Swift/XRT
415.2499864450339 3.03803e-10 9.43548e-13 9.43548e-13 Swift/XRT
499.24126170186054 3.01601e-10 9.22605e-13 9.22605e-13 Swift/XRT
600.2177241899535 3.08321e-10 9.56039e-13 9.56039e-13 Swift/XRT
721.6202494331534 3.10603e-10 8.79733e-13 8.79733e-13 Swift/XRT
867.5762337929901 3.01721e-10 7.93408e-13 7.93408e-13 Swift/XRT
1043.0526141734695 2.91174e-10 7.51209e-13 7.51209e-13 Swift/XRT
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3024.33107340648 2.02613e-10 1.12251e-12 1.12251e-12 Swift/XRT
3456.6282820982337 2.27591e-10 5.96328e-13 5.96328e-13 RXTE/PCA
3614.21376402182 1.81505e-10 1.13408e-12 1.13408e-12 Swift/XRT
3858.809558620988 2.13719e-10 5.74588e-13 5.74588e-13 RXTE/PCA
4261.4747082642825 2.0343e-10 5.78577e-13 5.78577e-13 RXTE/PCA
4319.16727263637 1.59981e-10 1.1617e-12 1.1617e-12 Swift/XRT
4664.619595360421 1.92766e-10 5.9656e-13 5.9656e-13 RXTE/PCA
5068.302119257159 1.83128e-10 6.30055e-13 6.30055e-13 RXTE/PCA
5161.602782499761 1.37183e-10 1.26853e-12 1.26853e-12 Swift/XRT
5472.480923277527 1.71431e-10 6.65199e-13 6.65199e-13 RXTE/PCA
5877.197364098496 1.65045e-10 6.97588e-13 6.97588e-13 RXTE/PCA
6168.307013284966 1.18215e-10 1.51647e-12 1.51647e-12 Swift/XRT
6282.451441720064 1.58473e-10 7.22326e-13 7.22326e-13 RXTE/PCA
6688.243156142234 1.50624e-10 7.45763e-13 7.45763e-13 RXTE/PCA
7094.572507365003 1.4555e-10 7.81903e-13 7.81903e-13 RXTE/PCA
7371.414102997086 9.85877e-11 2.03808e-12 2.03808e-12 Swift/XRT
7501.439495388372 1.37451e-10 8.20289e-13 8.20289e-13 RXTE/PCA
7908.802763535373 1.31943e-10 8.65468e-13 8.65468e-13 RXTE/PCA
8316.745025159942 1.29387e-10 9.13315e-13 9.13315e-13 RXTE/PCA
8725.183566908141 1.23633e-10 9.58738e-13 9.58738e-13 RXTE/PCA
8809.178977832666 8.46068e-11 3.45022e-12 3.45022e-12 Swift/XRT
9134.201102133913 1.18479e-10 1.01129e-12 1.01129e-12 RXTE/PCA
9543.673560806343 1.15023e-10 1.0812e-12 1.0812e-12 RXTE/PCA
10348.474494627726 1.07685e-10 7.17767e-13 7.17767e-13 RXTE/PCA
11584.790995946145 9.78524e-11 9.04935e-13 9.04935e-13 RXTE/PCA
13214.740348657775 8.74656e-11 9.94999e-13 9.94999e-13 RXTE/PCA
14966.650541751691 5.21944e-11 7.53996e-12 7.53996e-12 Swift/BAT
15296.883607351063 7.45099e-11 1.55204e-12 1.55204e-12 RXTE/PCA
16970.54696761918 5.2567e-11 7.68535e-12 7.68535e-12 Swift/BAT
17389.324678609686 6.37739e-11 2.5809e-12 2.5809e-12 RXTE/PCA
19899.75768399641 4.49181e-11 5.87701e-12 5.87701e-12 Swift/BAT
20659.02491647466 5.15965e-11 3.15793e-12 3.15793e-12 RXTE/PCA
24819.341192872187 3.52174e-11 5.7238e-12 5.7238e-12 Swift/BAT
27045.81925418811 4.17094e-11 8.50054e-12 8.50054e-12 RXTE/PCA
35338.37062332105 1.78574e-11 4.78368e-12 4.78368e-12 Swift/BAT
57989.91887949666 2.00831e-11 6.31683e-12 6.31683e-12 Swift/BAT
121224.69153223214 1.74981e-11 1.26157e-11 1.26157e-11 Swift/BAT
158429985.26729855 2.1695e-11 2.95828e-12 2.95828e-12 Fermi
397971166.80728596 2.77879e-11 2.10104e-12 2.10104e-12 Fermi
1000066484.1316428 2.82562e-11 2.3323e-12 2.3323e-12 Fermi
2511946659.763795 4.08539e-11 3.97698e-12 3.97698e-12 Fermi
6309498708.457947 4.94972e-11 6.86634e-12 6.86634e-12 Fermi
15848995244.890396 6.51299e-11 1.15832e-11 1.15832e-11 Fermi
39810929810.83633 5.38696e-11 1.6369e-11 1.6369e-11 Fermi
99763471152.58517 7.49107e-11 1.1223e-11 1.1223e-11 MAGIC
100000031344.84921 9.75426e-11 3.56046e-11 3.56046e-11 Fermi
158114433822.02325 8.19921e-11 7.05066e-12 7.05066e-12 MAGIC
250594994160.32553 5.61433e-11 5.79397e-12 5.79397e-12 MAGIC
251188462474.83414 1.14705e-10 6.5737e-11 6.5737e-11 Fermi
397165952306.69495 4.66222e-11 5.09791e-12 5.09791e-12 MAGIC
629465166142.599 5.22158e-11 4.89063e-12 4.89063e-12 MAGIC
997634711525.8517 3.66834e-11 4.68203e-12 4.68203e-12 MAGIC
1581144338220.2327 2.24787e-11 4.34322e-12 4.34322e-12 MAGIC
2505949941603.2554 1.97208e-11 4.40736e-12 4.40736e-12 MAGIC
3971659523066.9497 7.99422e-12 3.46911e-12 3.46911e-12 MAGIC
84 changes: 42 additions & 42 deletions agnpy/data/mwl_seds/PKS1510-089_2015b.ecsv
Original file line number Diff line number Diff line change
Expand Up @@ -14,45 +14,45 @@
# - {redshift: 0.361}
# schema: astropy-2.0
e_ref e2dnde e2dnde_errn e2dnde_errp instrument
0.000153032 1.1199903607612619e-12 3.2562e-14 3.2562e-14 Metsahovi
1.01705 3.3704028543477595e-11 9.68761e-14 9.68761e-14 NICS1
0.761227 3.38786657965836e-11 1.86966e-12 1.86966e-12 NICS1
0.761227 3.01944606267006e-11 3.47154e-14 3.47154e-14 NICS2
0.566575 2.8389127995509397e-11 4.73277e-13 4.73277e-13 NICS2
2.87689 2.5257513546692996e-11 1.0131e-13 1.01966e-13 SMART1
2.24627 2.5322401700369998e-11 1.01571e-13 1.02228e-13 SMART1
1.90175 2.6919130933814395e-11 1.54038e-13 1.55464e-13 SMART1
0.993543 2.8322477447534995e-11 1.62068e-13 1.63567e-13 SMART1
0.566183 4.904070415477919e-11 2.52677e-13 2.5478e-13 SMART1
1.01746 2.9016380147720397e-11 4.33206e-13 4.33206e-13 TCS1
1.01746 2.8776854740937398e-11 6.11396e-13 6.11396e-13 TCS2
0.761024 2.7135264561741e-11 5.60938e-13 5.60938e-13 TCS3
0.761024 2.8969115937017397e-11 6.82019e-13 6.82019e-13 TCS4
0.566632 2.99461232484306e-11 8.59783e-13 8.59783e-13 TCS5
0.566632 2.98360537136748e-11 5.48237e-13 5.48237e-13 TCS6
1.93565 1.77662162590992e-11 1.73611e-13 1.73611e-13 KVA1
1.93565 2.4819959107947597e-11 2.28269e-13 2.28269e-13 KVA2
2.28719 2.6545983995755797e-11 5.25596e-13 5.82262e-13 UVOT
2.85176 2.8707800928011997e-11 4.07864e-13 3.75194e-13 UVOT
3.57785 2.9648278612169995e-11 4.62817e-13 4.31037e-13 UVOT
4.79814 2.7289714389258595e-11 3.87717e-13 3.96748e-13 UVOT
5.51957 2.6853441691820398e-11 4.19189e-13 3.90405e-13 UVOT
6.02623 2.48885322678828e-11 3.53602e-13 3.61839e-13 UVOT
435.0 2.83372174725678e-12 5.6252e-13 5.6252e-13 Swift-XRT
680.0 3.57748418429226e-12 3.91068e-13 3.91068e-13 Swift-XRT
885.0 3.3682399158918595e-12 2.68017e-13 2.68017e-13 Swift-XRT
1095.0 2.8408354115117397e-12 2.2218e-13 2.2218e-13 Swift-XRT
1320.0 3.4168980202664397e-12 2.31034e-13 2.31034e-13 Swift-XRT
1600.0 3.3201105298065e-12 2.61614e-13 2.61614e-13 Swift-XRT
1995.0 4.493176195922279e-12 3.70419e-13 3.70419e-13 Swift-XRT
2665.0 4.694345494087319e-12 5.29552e-13 5.29552e-13 Swift-XRT
3925.0 4.81023093002454e-12 6.57167e-13 6.57167e-13 Swift-XRT
136673000.0 5.430209200317179e-10 5.28275e-11 5.28275e-11 Fermi-LAT
304365000.0 6.89767482293046e-10 6.1813e-11 6.1813e-11 Fermi-LAT
677807000.0 6.86976490596618e-10 7.49836e-11 7.49836e-11 Fermi-LAT
1509450000.0 2.47034808666558e-10 6.24507e-11 6.24507e-11 Fermi-LAT
3361480000.0 3.05044818053796e-10 9.50969e-11 9.50969e-11 Fermi-LAT
7485880000.0 3.4221691813923e-10 1.50767e-10 1.50767e-10 Fermi-LAT
88649700000.0 5.27010368928156e-11 1.36366e-11 1.36366e-11 MAGIC
123079000000.0 1.2646236520423438e-11 3.39887e-12 3.39887e-12 MAGIC
170854000000.0 1.0843307154183239e-11 2.34705e-12 2.34705e-12 MAGIC
0.000153032 1.1199903607612619e-12 5.2170075556308e-14 5.2170075556308e-14 Metsahovi
0.566183 4.904070415477919e-11 4.04833185349218e-13 4.0820256281051997e-13 SMART1
0.566575 2.8389127995509397e-11 7.582733508096178e-13 7.582733508096178e-13 NICS2
0.566632 2.98360537136748e-11 8.783725112942579e-13 8.783725112942579e-13 TCS6
0.566632 2.99461232484306e-11 1.3775242329104219e-12 1.3775242329104219e-12 TCS5
0.761024 2.8969115937017397e-11 1.0927149057440459e-12 1.0927149057440459e-12 TCS4
0.761024 2.7135264561741e-11 8.98721756722692e-13 8.98721756722692e-13 TCS3
0.761227 3.38786657965836e-11 2.99552556552444e-12 2.99552556552444e-12 NICS1
0.761227 3.01944606267006e-11 5.5620202719963594e-14 5.5620202719963594e-14 NICS2
0.993543 2.8322477447534995e-11 2.5966156271911195e-13 2.6206322549347795e-13 SMART1
1.01705 3.3704028543477595e-11 1.5521262381304737e-13 1.5521262381304737e-13 NICS1
1.01746 2.9016380147720397e-11 6.94072530908604e-13 6.94072530908604e-13 TCS1
1.01746 2.8776854740937398e-11 9.79564385321064e-13 9.79564385321064e-13 TCS2
1.90175 2.6919130933814395e-11 2.4679608434809197e-13 2.4908078822817595e-13 SMART1
1.93565 1.77662162590992e-11 2.7815548760537396e-13 2.7815548760537396e-13 KVA1
1.93565 2.4819959107947597e-11 3.65727258066546e-13 3.65727258066546e-13 KVA2
2.24627 2.5322401700369998e-11 1.6273468289201398e-13 1.63787312940552e-13 SMART1
2.28719 2.6545983995755797e-11 8.420976301238639e-13 9.32886571266108e-13 UVOT
2.85176 2.8707800928011997e-11 6.534701706497759e-13 6.01127060016996e-13 UVOT
2.87689 2.5257513546692996e-11 1.6231651479054e-13 1.6336754266244398e-13 SMART1
3.57785 2.9648278612169995e-11 7.415145832179779e-13 6.905974097894579e-13 UVOT
4.79814 2.7289714389258595e-11 6.21191118004578e-13 6.356603751862319e-13 UVOT
5.51957 2.6853441691820398e-11 6.716148210298259e-13 6.2549776879677e-13 UVOT
6.02623 2.48885322678828e-11 5.66532862135668e-13 5.797299910699259e-13 UVOT
435.0 2.83372174725678e-12 9.0125640015768e-13 9.0125640015768e-13 Swift-XRT
680.0 3.57748418429226e-12 6.26560011905112e-13 6.26560011905112e-13 Swift-XRT
885.0 3.3682399158918595e-12 4.2941057491477794e-13 4.2941057491477794e-13 Swift-XRT
1095.0 2.8408354115117397e-12 3.5597160454211994e-13 3.5597160454211994e-13 Swift-XRT
1320.0 3.4168980202664397e-12 3.70157276459556e-13 3.70157276459556e-13 Swift-XRT
1600.0 3.3201105298065e-12 4.19151837927276e-13 4.19151837927276e-13 Swift-XRT
1995.0 4.493176195922279e-12 5.934766665896459e-13 5.934766665896459e-13 Swift-XRT
2665.0 4.694345494087319e-12 8.48435840887968e-13 8.48435840887968e-13 Swift-XRT
3925.0 4.81023093002454e-12 1.0528976120358779e-12 1.0528976120358779e-12 Swift-XRT
136673000.0 5.430209200317179e-10 8.463898613263499e-11 8.463898613263499e-11 Fermi-LAT
304365000.0 6.89767482293046e-10 9.9035344277442e-11 9.9035344277442e-11 Fermi-LAT
677807000.0 6.86976490596618e-10 1.201369718532024e-10 1.201369718532024e-10 Fermi-LAT
1509450000.0 2.47034808666558e-10 1.000570523169438e-10 1.000570523169438e-10 Fermi-LAT
3361480000.0 3.05044818053796e-10 1.5236203114583457e-10 1.5236203114583457e-10 Fermi-LAT
7485880000.0 3.4221691813923e-10 2.4155536457827796e-10 2.4155536457827796e-10 Fermi-LAT
88649700000.0 5.27010368928156e-11 2.18482418872044e-11 2.18482418872044e-11 MAGIC
123079000000.0 1.2646236520423438e-11 5.4455900960035795e-12 5.4455900960035795e-12 MAGIC
170854000000.0 1.0843307154183239e-11 3.7603886688297e-12 3.7603886688297e-12 MAGIC
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