From 5a87ff2529e93853f9bb9942cd3525d6ef4a90b6 Mon Sep 17 00:00:00 2001 From: Francisco Jimenez Forteza <francisco.jimenez@condor1.atlas.local> Date: Fri, 30 Apr 2021 05:29:01 +0000 Subject: [PATCH] commit results --- .../best_values_305_w-tau_nmax_0.csv | 45 +++++++ .../summary305_w-tau_nmax_0.csv | 12 ++ .../best_values_305_w-tau_nmax_1.csv | 117 ++++++++++++++++++ .../summary305_w-tau_nmax_1.csv | 30 +++++ .../best_values_305_w-tau_nmax_1.csv | 21 ++++ .../summary305_w-tau_nmax_1.csv | 6 + .../best_values_305_w-tau_nmax_2.csv | 9 ++ .../summary305_w-tau_nmax_2.csv | 3 + .../best_values_305_w-tau_nmax_3.csv | 9 ++ .../summary305_w-tau_nmax_3.csv | 3 + .../best_values_305_w-tau_nmax_4.csv | 5 + .../summary305_w-tau_nmax_4.csv | 2 + .../best_values_305_w-tau_nmax_5.csv | 5 + .../summary305_w-tau_nmax_5.csv | 2 + .../best_values_305_w-tau_nmax_6.csv | 5 + .../summary305_w-tau_nmax_6.csv | 2 + .../best_values_305_w-tau_nmax_7.csv | 5 + .../summary305_w-tau_nmax_7.csv | 2 + 18 files changed, 283 insertions(+) create mode 100644 results_new/0305/NR_Model_Noise/w-tau-nmax0_True__fitnoise_True/best_values_305_w-tau_nmax_0.csv create mode 100644 results_new/0305/NR_Model_Noise/w-tau-nmax0_True__fitnoise_True/summary305_w-tau_nmax_0.csv create mode 100644 results_new/0305/NR_Model_Noise/w-tau-nmax1_True_0.002_fitnoise_False/best_values_305_w-tau_nmax_1.csv create mode 100644 results_new/0305/NR_Model_Noise/w-tau-nmax1_True_0.002_fitnoise_False/summary305_w-tau_nmax_1.csv create mode 100644 results_new/0305/NR_Model_Noise/w-tau-nmax1_True__fitnoise_True/best_values_305_w-tau_nmax_1.csv create mode 100644 results_new/0305/NR_Model_Noise/w-tau-nmax1_True__fitnoise_True/summary305_w-tau_nmax_1.csv create mode 100644 results_new/0305/NR_Model_Noise/w-tau-nmax2_True__fitnoise_True/best_values_305_w-tau_nmax_2.csv create mode 100644 results_new/0305/NR_Model_Noise/w-tau-nmax2_True__fitnoise_True/summary305_w-tau_nmax_2.csv create mode 100644 results_new/0305/NR_Model_Noise/w-tau-nmax3_True__fitnoise_True/best_values_305_w-tau_nmax_3.csv create mode 100644 results_new/0305/NR_Model_Noise/w-tau-nmax3_True__fitnoise_True/summary305_w-tau_nmax_3.csv create mode 100644 results_new/0305/NR_Model_Noise/w-tau-nmax4_True__fitnoise_True/best_values_305_w-tau_nmax_4.csv create mode 100644 results_new/0305/NR_Model_Noise/w-tau-nmax4_True__fitnoise_True/summary305_w-tau_nmax_4.csv create mode 100644 results_new/0305/NR_Model_Noise/w-tau-nmax5_True__fitnoise_True/best_values_305_w-tau_nmax_5.csv create mode 100644 results_new/0305/NR_Model_Noise/w-tau-nmax5_True__fitnoise_True/summary305_w-tau_nmax_5.csv create mode 100644 results_new/0305/NR_Model_Noise/w-tau-nmax6_True__fitnoise_True/best_values_305_w-tau_nmax_6.csv create mode 100644 results_new/0305/NR_Model_Noise/w-tau-nmax6_True__fitnoise_True/summary305_w-tau_nmax_6.csv create mode 100644 results_new/0305/NR_Model_Noise/w-tau-nmax7_True__fitnoise_True/best_values_305_w-tau_nmax_7.csv create mode 100644 results_new/0305/NR_Model_Noise/w-tau-nmax7_True__fitnoise_True/summary305_w-tau_nmax_7.csv diff --git a/results_new/0305/NR_Model_Noise/w-tau-nmax0_True__fitnoise_True/best_values_305_w-tau_nmax_0.csv b/results_new/0305/NR_Model_Noise/w-tau-nmax0_True__fitnoise_True/best_values_305_w-tau_nmax_0.csv new file mode 100644 index 0000000..d7f6c8a --- /dev/null +++ b/results_new/0305/NR_Model_Noise/w-tau-nmax0_True__fitnoise_True/best_values_305_w-tau_nmax_0.csv @@ -0,0 +1,45 @@ +,tshift,$\omega_0$,$\tau_0$,$A_0$,$\phi_0$,noise +max val,0.0,0.5486333061979481,11.975660707441293,0.809378864936477,0.9654245840188576,-1.618880326515459 +max val ml,0.0,0.548637242898382,11.974509128888018,0.8096591685785512,0.9657561483441829,-1.6199299462036052 +lower bound,0.0,0.5481860123264395,11.912759866100616,0.7910764583499714,0.9415317640240911,-1.6481744687804136 +higher bound,0.0,0.5490838798917865,12.037517228518157,0.8286308795920565,0.9893812934532076,-1.5890184760027353 +max val,0.2,0.5487606427526106,11.974939432645897,0.8121184831131139,0.9731625754162104,-1.6456178799857533 +max val ml,0.2,0.5487646942915795,11.975714576075285,0.8123012841634534,0.9735501116769876,-1.647172987434864 +lower bound,0.2,0.5483169927872781,11.915617761121537,0.7940314196287729,0.9498816053730537,-1.6749368120454726 +higher bound,0.2,0.5492051482603589,12.035699431395159,0.8304554288224275,0.9964460288039325,-1.6159082556084527 +max val,0.4,0.548852573973234,11.974109577234696,0.8138904951503293,0.9784138158282766,-1.6635777474633073 +max val ml,0.4,0.5488380508974912,11.976818952033145,0.8134656015387233,0.9775136264170132,-1.6649983094520913 +lower bound,0.4,0.5484170313648226,11.91503555404273,0.7961682821738325,0.9556734657801403,-1.6927999496930681 +higher bound,0.4,0.5492833780675812,12.03378244797349,0.8322858825768853,1.0014361485435255,-1.6339663175170642 +max val,0.8,0.5490271900735539,11.973399533707722,0.817541901793825,0.9889567475465881,-1.7004805371358884 +max val ml,0.8,0.5490210381225014,11.976052160978229,0.8172833635816144,0.9885319389027625,-1.7011790699529037 +lower bound,0.8,0.5486047580395439,11.915541894502255,0.8001206444983922,0.9668171859526408,-1.72946431286244 +higher bound,0.8,0.5494456414760693,12.031855030742701,0.8354567422197258,1.0109841033600728,-1.6709522266742702 +max val,1.2,0.549203558649377,11.971585392787214,0.8212862223848124,0.9995861187662104,-1.7381165753699257 +max val ml,1.2,0.5492084023427235,11.97361780404801,0.8209443784032454,1.0001012614678928,-1.7391279212994348 +lower bound,1.2,0.5488012948889818,11.91549675212512,0.8041355949543683,0.9782054482310438,-1.7671921724827584 +higher bound,1.2,0.549608354093486,12.02858311413367,0.8388842680984198,1.0208701468220753,-1.7086370201284256 +max val,2.0,0.5495674465855404,11.967161771210593,0.8286668371679422,1.0215330811693988,-1.8160752445521453 +max val ml,2.0,0.5495696130348814,11.9687017269328,0.827939573468368,1.0216533084663708,-1.8177870587769078 +lower bound,2.0,0.5491930381969432,11.914122998085144,0.8125854960744574,1.0015434562438272,-1.8446662136697825 +higher bound,2.0,0.5499497451818577,12.020479124435678,0.8454877924112225,1.0419732194073654,-1.7862854598224658 +max val,2.5,0.5497959152885781,11.963650929428841,0.8333926870229265,1.035419218985198,-1.8666905610577373 +max val ml,2.5,0.5498200888910258,11.964165601761865,0.8332320290967752,1.0363695666310286,-1.868540740923148 +lower bound,2.5,0.54943893598422,11.913094576728284,0.8173137400921764,1.0160966404219405,-1.8958158459749264 +higher bound,2.5,0.5501633854104869,12.015662418909901,0.8494339127047367,1.0546225499347235,-1.837007724030034 +max val,5.0,0.5509388815145124,11.93900989914534,0.8561824863710625,1.104763038038521,-2.1403527933700026 +max val ml,5.0,0.5509238680714046,11.940141042250016,0.8560249411550775,1.1040107188217934,-2.1425745212525236 +lower bound,5.0,0.5506567638032731,11.898353345222656,0.8432411072095414,1.0894465841529295,-2.1691640230660028 +higher bound,5.0,0.551222141759854,11.979521519595036,0.8694628983735653,1.1199455000779364,-2.1110906720894143 +max val,7.5,0.5519953898430576,11.9050628801175,0.8782054048528565,1.169704306833504,-2.4476421947256313 +max val ml,7.5,0.5519834214939686,11.906440800636808,0.877782528935356,1.169010608099736,-2.4493437394563955 +lower bound,7.5,0.5517804485681622,11.874706538703007,0.8679094528407276,1.1581630439371144,-2.4771347369570336 +higher bound,7.5,0.5522069505009881,11.93602443358012,0.8884693289443432,1.1812590884596712,-2.417521754949649 +max val,10.0,0.5528943427206621,11.869468259295957,0.8977357811395853,1.2259403743457045,-2.7883052324666053 +max val ml,10.0,0.5528981465691084,11.86959631773397,0.8979635289919434,1.2260199359404567,-2.7896067754459395 +lower bound,10.0,0.552731679240986,11.846300865710418,0.8896787931613999,1.2170020261001981,-2.8184907395334236 +higher bound,10.0,0.5530544399211084,11.892192821393088,0.9058696830724215,1.2348672944252101,-2.7577104283748923 +max val,12.0,0.5534895335438734,11.842724476338836,0.9111965106858909,1.2636871756975072,-3.086027888340155 +max val ml,12.0,0.5534820476075075,11.84313754191307,0.9109484873555269,1.263369648834489,-3.0866333733136457 +lower bound,12.0,0.553364691882583,11.824911054172427,0.9048132930803592,1.256646995452696,-3.1171748567610464 +higher bound,12.0,0.5536167272406909,11.860589119580174,0.9176255649547478,1.2707523964796943,-3.0539926961066106 diff --git a/results_new/0305/NR_Model_Noise/w-tau-nmax0_True__fitnoise_True/summary305_w-tau_nmax_0.csv b/results_new/0305/NR_Model_Noise/w-tau-nmax0_True__fitnoise_True/summary305_w-tau_nmax_0.csv new file mode 100644 index 0000000..00da927 --- /dev/null +++ b/results_new/0305/NR_Model_Noise/w-tau-nmax0_True__fitnoise_True/summary305_w-tau_nmax_0.csv @@ -0,0 +1,12 @@ +n,id,t_shift,dlogz,dlogz_err +0,305,0.0,-73657.28334704057,0.11416724470971225 +0.0,305.0,0.2,-73347.73374019159,0.11426838703185814 +0.0,305.0,0.4,-73141.35436323597,0.11500944056444025 +0.0,305.0,0.8,-72726.97445411024,0.1147361113181395 +0.0,305.0,1.2,-72311.8944614014,0.11518110645489928 +0.0,305.0,2.0,-71478.5096829721,0.11544892098128734 +0.0,305.0,2.5,-70955.9328115705,0.11611437642646553 +0.0,305.0,5.0,-68322.3408296478,0.11783695823476235 +0.0,305.0,7.5,-65663.7711416689,0.11977433329613972 +0.0,305.0,10.0,-62993.81119069,0.12235894401300011 +0.0,305.0,12.0,-60859.84625107824,0.12445084980918936 diff --git a/results_new/0305/NR_Model_Noise/w-tau-nmax1_True_0.002_fitnoise_False/best_values_305_w-tau_nmax_1.csv b/results_new/0305/NR_Model_Noise/w-tau-nmax1_True_0.002_fitnoise_False/best_values_305_w-tau_nmax_1.csv new file mode 100644 index 0000000..ad3f24c --- /dev/null +++ b/results_new/0305/NR_Model_Noise/w-tau-nmax1_True_0.002_fitnoise_False/best_values_305_w-tau_nmax_1.csv @@ -0,0 +1,117 @@ +,tshift,$\omega_0$,$\omega_1$,$\tau_0$,$\tau_1$,$A_0$,$A_1$,$\phi_0$,$\phi_1$ +max val,0.0,0.49717338844956893,0.4707279598157796,12.04639793035032,5.529882435106229,1.4828414784019182,7.571390054992002,3.0941012799089647,3.145833881309254 +max val ml,0.0,0.6404973690715112,0.7800960654344063,14.821256597688864,7.3989437623854375,2.05917827983979,8.747871672791133,4.0832965083556045,0.792381642718611 +lower bound,0.0,0.22927979359487488,0.18250002255691894,8.424426881960363,3.6965715128145007,0.13884968921205132,0.7483504277416669,0.2855739024538819,0.32293009020311186 +higher bound,0.0,0.7685860438248708,0.7670220637939948,15.63511874866656,7.475027641927989,2.8396396945928792,14.258821151929585,5.978765382423078,5.9718064982902455 +max val,0.2,0.49854217487413194,0.4832028022906123,12.00539018579001,5.614969713005678,1.5133468934914052,7.499505272871837,3.038523780511408,3.1290471764534535 +max val ml,0.2,0.6811578975851199,0.777378574434615,14.407147386165787,5.954898938607892,0.712857368631156,3.005796397626881,5.94961309286584,2.3641926080854687 +lower bound,0.2,0.22929494435041908,0.18332569836298784,8.407469557800118,3.7366727427929405,0.15110118729286903,0.7761125427050413,0.3041695622093946,0.29960170932090907 +higher bound,0.2,0.7694817276516903,0.7666205245893303,15.577062965694846,7.4952032567577005,2.8453088526936066,14.21398686794844,5.963105234172173,5.9783769280340575 +max val,0.4,0.49574780506163524,0.4716909191462979,11.975080695970188,5.594329893808348,1.4947377446432744,7.603247666549763,3.1687551553644937,3.1944308841360938 +max val ml,0.4,0.22859206897016426,0.693984197939173,9.579861975729987,6.6147383958365555,1.4382576780457645,10.547089811144884,5.729652004040978,6.194268864330167 +lower bound,0.4,0.2292881451207816,0.1832457932089814,8.402386643424652,3.7084312851889862,0.1487345550505762,0.7957177429378641,0.30369092805241105,0.3416449498743216 +higher bound,0.4,0.7698517195775574,0.7683429182886093,15.605870207549362,7.474773667963645,2.852451900445445,14.246481609024336,5.978303915144174,5.981389338299174 +max val,0.8,0.5020947743287334,0.47543393129159084,11.994682541842876,5.571109553841298,1.5051095358304765,7.329398187566451,3.1425143011296512,3.196912159128451 +max val ml,0.8,0.38099486261155424,0.5284623167741364,9.318585507046276,7.327552159357791,2.2943470612987684,10.045091900095636,4.334811130086923,2.0167251495781353 +lower bound,0.8,0.230672287035692,0.1798791608261656,8.384753375757779,3.7150094477441016,0.14351759284450305,0.7461139403921342,0.2874399202458386,0.33939078471176126 +higher bound,0.8,0.7701838361675242,0.7682559460009394,15.561150575858843,7.476999001972929,2.856810266574098,14.285526874752296,5.965543909305902,5.966368279343074 +max val,1.2,0.499652392682301,0.472794202705519,12.034730386737191,5.604996281329845,1.4655631902275128,7.484391858822132,3.1767606723516426,3.1567448928158157 +max val ml,1.2,0.4599971065529581,0.20841711231701676,15.739990917783558,6.10314848951177,0.9528885574173013,5.844371783623297,1.2732277498572606,4.833317593690894 +lower bound,1.2,0.230241150034035,0.18320286957271,8.37982378824046,3.7138800653462347,0.1447956438495466,0.7527237790909713,0.31438928784375697,0.2965434979886294 +higher bound,1.2,0.770714024168015,0.7655376608928753,15.627666099699205,7.484382144131544,2.8524159173600534,14.258512576039081,5.958620057438029,5.963257736911439 +max val,2.0,0.5043655046861849,0.4734618525322801,12.109807727112848,5.589504689600562,1.4926125804511812,7.658763022454667,3.1207474379508833,3.1578551038320866 +max val ml,2.0,0.2356618978901831,0.5494819340021474,14.584038630420558,6.09468154305544,2.57708564982511,4.5207594273028215,4.660888834579772,0.967801484478807 +lower bound,2.0,0.23008263957355868,0.18399665332582044,8.447054853810101,3.711143601138772,0.13863571481614123,0.6930485799284386,0.3390369900710593,0.31308185724683457 +higher bound,2.0,0.7717826756000639,0.7653717562906341,15.629424079385418,7.483843240538901,2.8500211667631845,14.240612655280463,5.991591211543971,5.929901864336374 +max val,2.5,0.4983597355505159,0.4739249112778462,12.016626215015943,5.573556649569838,1.5062786786768616,7.423220798231947,3.1215125061007805,3.175780714601717 +max val ml,2.5,0.21765428131933506,0.6431349882512665,14.657200452190072,7.547444387816312,0.4889750976809,6.696339283430001,2.114629266083741,3.425573423860523 +lower bound,2.5,0.23046828527809948,0.18198682386529075,8.411246086852051,3.710956484420654,0.14933223902841175,0.7498697342291905,0.2881168439110487,0.32429988660878817 +higher bound,2.5,0.7713591608468483,0.7683389932448964,15.619833263191202,7.492052563595152,2.8520152199072433,14.226146155287061,5.944586810547316,5.944564872257118 +max val,5.0,0.4982256915796383,0.47579073885360534,11.94189600061511,5.597794920510298,1.4841579820326252,7.426242446673189,3.2060641630489854,3.1667410304802885 +max val ml,5.0,0.25883134359387344,0.1960409553328702,10.687592787595104,4.761886528369917,2.324464305128786,2.7042127534049487,0.4860494897097521,0.55721377466632 +lower bound,5.0,0.22704295797269003,0.18218264891127375,8.407209603250617,3.7158271664041873,0.15100449599763588,0.7316287007259051,0.3135167392173058,0.3434219433206057 +higher bound,5.0,0.7706989432648871,0.7651923207742978,15.61740959191435,7.489558935028518,2.8430368132658117,14.263202508629774,5.983750569637899,5.983283554698277 +max val,7.5,0.5003297136345881,0.4688221263181426,11.967378485083506,5.60788683859958,1.4916728502730967,7.45315048888303,3.160438060816717,3.1134542988921723 +max val ml,7.5,0.38254815000701065,0.6901374907903788,8.294497298252928,4.3880596238438265,2.606307950107685,1.9304927651678871,0.5984372530285805,4.419202790408772 +lower bound,7.5,0.2281753254704124,0.183195783333944,8.407436727982109,3.721447210292229,0.15264766878850633,0.7686169334276991,0.32645918908158383,0.3147492942833737 +higher bound,7.5,0.7702403010420683,0.7638327139844203,15.603288109813729,7.4808584151022375,2.858958251363084,14.224127833160143,5.9747226884816245,5.953240423075606 +max val,10.0,0.504345728301873,0.4714597470700679,12.028145602573979,5.596110488726705,1.5090784072652683,7.404768866085469,3.1551303993349653,3.0826307749105077 +max val ml,10.0,0.4281126845004912,0.22470679346364686,14.577802572451436,4.774915095966339,2.329828954309529,5.0510267906263175,1.5982698761059786,3.9900510213157565 +lower bound,10.0,0.23316138269546102,0.18206355154876405,8.414965963314957,3.717291314831143,0.15981980824199638,0.742953042434194,0.3087417445290074,0.314770163090782 +higher bound,10.0,0.7692052097518811,0.7659912264390297,15.59388101820834,7.494000893545073,2.862720637378345,14.238308076377074,5.971127623575581,5.976910980030973 +max val,12.0,0.4998708365778328,0.4687219097534116,12.113445998102176,5.590890443987027,1.5031141938778116,7.337281901810313,3.1157606476907542,3.193457100152862 +max val ml,12.0,0.2848225505640888,0.32500002669977,10.337074248704202,4.010843294019591,2.3429910688983244,11.111688731859271,3.156224577265165,0.5676574724759534 +lower bound,12.0,0.2294436672296086,0.18132927229447346,8.446012950171955,3.7051130493480158,0.14329329806558308,0.7253919289597399,0.32923410442093143,0.3151802264602818 +higher bound,12.0,0.7685410650644362,0.7682175578784822,15.639846811880142,7.492698988424613,2.8625546668290993,14.183569337377616,5.962000461080489,5.985023008137492 +max val,15.0,0.5008611792204217,0.47606684131852706,12.01412963420752,5.6107525796965145,1.4967911467734085,7.490541520407833,3.1516221461592693,3.1291861109516312 +max val ml,15.0,0.22234069835374826,0.3762698160868651,15.057167888056746,5.6723323841061895,1.1211927663374652,11.345229837718072,4.1328252889913015,4.551443019883084 +lower bound,15.0,0.2270746099077839,0.1861232032860443,8.38006537530963,3.704911246879187,0.14915831586848305,0.7411874985428717,0.3333266008005768,0.2999101713567109 +higher bound,15.0,0.7681575477119518,0.7683493457399884,15.602536203996767,7.487021468054897,2.853848294518976,14.233317293070455,5.977821825483832,5.982501802312955 +max val,18.0,0.49754961316782614,0.47189153069089596,11.928439001595867,5.635171775297971,1.5124581286364025,7.558061929693196,3.072814993301019,3.1794178195889113 +max val ml,18.0,0.6916848920800123,0.189533879366663,14.387841720323477,4.926707079556281,2.7538545780939137,0.6867042618379632,2.4136893921651263,4.044779749489559 +lower bound,18.0,0.2309727897543849,0.180334575263768,8.384718237924588,3.7080407144214966,0.1535655258085204,0.7700453061338863,0.2988234141576078,0.33249655586615523 +higher bound,18.0,0.7715907994430986,0.7698294710191611,15.591319910846725,7.4981810941208735,2.843719825070889,14.225155216336063,5.965856060675463,5.957207099999781 +max val,20.0,0.5011634148509867,0.47506552636330196,11.992240986513542,5.586774521482576,1.4970461146696863,7.497945117825908,3.154244836989846,3.1775290821015236 +max val ml,20.0,0.5058884387534588,0.7811545930123477,15.55877810782755,5.948599555813231,1.4270569251338714,14.855388659101239,3.6810695034574454,0.06576832253342019 +lower bound,20.0,0.22999074930425745,0.18195135397380813,8.34292770469974,3.7156190772952202,0.14740752468631957,0.7808790836749896,0.31881034928748936,0.32900130002391215 +higher bound,20.0,0.7722639329677535,0.7679837226984745,15.59625075880545,7.504381847159446,2.8382054965566823,14.287080310554568,5.955971795972582,5.999731165962854 +max val,0.0,0.4990746136788479,0.47330806121478675,12.024508012186285,5.619341745189903,1.4735837661371347,7.421888710556298,3.1319637845487853,3.2121325848445696 +max val ml,0.0,0.7013522101288501,0.5423475583805277,9.631825233230703,6.896397514776719,1.466135399551081,10.236084989596229,5.669595228625694,5.120260975281112 +lower bound,0.0,0.22785821061258926,0.1814733410091401,8.397934024411846,3.7180550429885013,0.1480605518650071,0.6955674219347818,0.31704134417231467,0.31477539369858165 +higher bound,0.0,0.7708976938737049,0.7659035729617255,15.612962330183178,7.482065185253841,2.8412278591592033,14.22233788215052,5.959903634858975,5.9766344281159345 +max val,0.0,0.5377546929377119,0.6462959758658413,15.328792649694869,6.622909348723759,0.45585699187240614,0.8314047173078577,5.758920323487627,2.1940025667544023 +max val ml,0.0,0.5377691741033147,0.6463197799943465,15.324216056413935,6.62001131371301,0.4560954310686378,0.8315173509789663,5.759351866433838,2.194490446122303 +lower bound,0.0,0.5373784648011481,0.6455939613478396,15.25585742327199,6.594389940598799,0.45235708612017855,0.8269006037929629,5.748504592163528,2.187991604497042 +higher bound,0.0,0.5381368669724733,0.6470018636881562,15.402674362215496,6.651073832958234,0.45941661175321036,0.8358751410760907,5.769407492872455,2.200076659857166 +max val,0.2,0.5358210592359798,0.6387331938991755,14.756702626893283,6.5994277029206305,0.4868637968721091,0.8920998108094098,5.684099755947862,2.161855861245072 +max val ml,0.2,0.5358242134695902,0.6386773849837618,14.751138957157217,6.598019987759643,0.4873610751050884,0.8926550675454257,5.683976689944379,2.1620044632150948 +lower bound,0.2,0.5354092016279624,0.6380222133477048,14.680655519461187,6.569814818282521,0.4826402823962225,0.8868428135192361,5.67244453199253,2.1551939724415545 +higher bound,0.2,0.5362235100097132,0.6394436997224887,14.83232603586708,6.629460575945578,0.4912349244707215,0.8974536070479514,5.6954235376816635,2.168398445887416 +max val,0.4,0.5344569088926121,0.6319536279189708,14.216058946424589,6.561424993942631,0.5230804498636661,0.954825710732312,5.624182415879107,2.1382386145627876 +max val ml,0.4,0.5344884375668328,0.6318696462869494,14.207906484068799,6.560025176300093,0.5238171331283861,0.9555782587649019,5.624472254822156,2.1387437672572216 +lower bound,0.4,0.534029713947048,0.6312048856892096,14.137436037165372,6.530355694560603,0.5179296325679141,0.9485343832192179,5.611913426638155,2.1311418888977967 +higher bound,0.4,0.534883176635081,0.6327036411008994,14.294571227849993,6.592487508425614,0.5283781572431463,0.9612615007484389,5.636481176716602,2.1453962396058364 +max val,0.8,0.5332274382062592,0.62004307093124,13.268287467090286,6.454060043592159,0.6101110821019453,1.0868213837500647,5.546369253992836,2.1136545966056475 +max val ml,0.8,0.5332599220535583,0.6200379472887337,13.271497821671993,6.451309050416193,0.610143493799935,1.0866725905322017,5.547624503151627,2.1144367437221367 +lower bound,0.8,0.5327433694499879,0.6191835354282851,13.184217130703718,6.419365424412943,0.6024579290676956,1.0778451141576626,5.531644587167378,2.1049425257981276 +higher bound,0.8,0.533703195458431,0.6208686454035366,13.35018431912778,6.488698369872349,0.6181079916204328,1.0961631037718396,5.561029638002126,2.12228645792963 +max val,1.2,0.5336143949746313,0.6095847951127289,12.513799158540944,6.319598775471563,0.714423201985797,1.2265669095328426,5.520187742040876,2.1164525966039047 +max val ml,1.2,0.5336850647908433,0.6096089182114928,12.525135508800403,6.314701708310337,0.7137791929454367,1.2256040466505733,5.522611342387028,2.1177090785808006 +lower bound,1.2,0.5330806743985188,0.6086053313141655,12.42798292470594,6.28072363132209,0.7029621454042756,1.2137582046987294,5.503020383112107,2.1059795444768414 +higher bound,1.2,0.5341524914108642,0.6105517376997939,12.601438889081848,6.357800408692373,0.7262286956966153,1.239814819092706,5.53740732192649,2.126941986513561 +max val,2.0,0.5375140835943073,0.5913898910776095,11.556579799085796,5.998430575558481,0.9447475481136659,1.4981506962492641,5.601688552092335,2.196122283862892 +max val ml,2.0,0.5374243900127922,0.5914673623473236,11.552822601666293,6.00573581819589,0.9446563060997423,1.498437386398925,5.598240181545542,2.194093246187595 +lower bound,2.0,0.5368630073161487,0.590079068522147,11.465995112016255,5.952150916882303,0.9225320189266111,1.4746846071617206,5.578598124264776,2.181498415608142 +higher bound,2.0,0.5381614085843875,0.5927188693120111,11.652481419619631,6.046871878174879,0.9671899507433124,1.5215800496393657,5.624122595655049,2.2105238831775185 +max val,2.5,0.5408228974874002,0.5817867696798188,11.282084697176213,5.7740614650032285,1.0571711066201597,1.614640841875581,5.715376806418398,2.2786436964327055 +max val ml,2.5,0.5408825434582272,0.5816228574795198,11.279408684332259,5.772081758931995,1.0586578492720806,1.615911086702599,5.717098433496936,2.2798273708192176 +lower bound,2.5,0.5401315028628816,0.5801853066787295,11.192930829815655,5.722920330081534,1.029435609162653,1.5868448093610783,5.690327797544686,2.262311152706447 +higher bound,2.5,0.5415192319085916,0.5833705161048243,11.37726673249681,5.82558895633238,1.0848168875541457,1.6423283126466874,5.74015573673765,2.2949115202799604 +max val,5.0,0.550390387076512,0.5552354610064706,11.347157052272859,4.85350039323261,1.077219746943788,1.6586954349532061,6.107792318818482,2.474164637836226 +max val ml,5.0,0.5504029282010396,0.555216496397446,11.341314905405875,4.859271747655731,1.0793460623285316,1.6595878930522179,6.107740172937815,2.475240472893862 +lower bound,5.0,0.5497073841276856,0.5522073857707992,11.261180231740415,4.790044253829934,1.0526412311582147,1.6420810709380047,6.083785556271602,2.46370086895627 +higher bound,5.0,0.551071868031342,0.5581253518390632,11.433104999330403,4.919069820514812,1.1029065652203633,1.6766313729507087,6.131535734492825,2.48496298679927 +max val,7.5,0.552559537101061,0.5463904006077737,11.55462910395638,4.409271899331566,1.0114123101059689,1.7244670814414271,6.194175684426258,2.458028528238466 +max val ml,7.5,0.5525127134092214,0.546738854640866,11.555509798283746,4.418966958473658,1.0120538640402035,1.7215956386735831,6.19210921109548,2.4590094061826457 +lower bound,7.5,0.5518520774701854,0.5412580813301112,11.462713428641,4.3169236413356735,0.9881359642996049,1.7005028714288544,6.169742402477234,2.4432645952433685 +higher bound,7.5,0.5532690186834088,0.551369452480905,11.646049386735964,4.503263201775788,1.03560109521375,1.7496012969423027,6.218560628519576,2.472044447366302 +max val,10.0,0.5531479456489108,0.5430440390472568,11.64839989705016,4.177604634203304,0.9832836613677747,1.8440612888124248,6.217308802033848,2.4318836996086013 +max val ml,10.0,0.5530678499618371,0.5432334314415878,11.636588213876163,4.197099872673502,0.9870459046807308,1.8410879957956567,6.2145605317343104,2.433744167715181 +lower bound,10.0,0.5523603152782561,0.5341337571939467,11.54163342236781,4.031141707894762,0.9580064822382582,1.7584732807787686,6.189436431582362,2.3811078699768133 +higher bound,10.0,0.5539074091030173,0.5518281434204545,11.751152354318585,4.3362451630457155,1.0117917640887808,1.9405620868505749,6.2440381153724065,2.4810819216932503 +max val,12.0,0.5532983182988078,0.5419672213449825,11.678201117556048,4.073764326881432,0.9739614179753209,1.940409453541926,6.223444529908151,2.4197284249212543 +max val ml,12.0,0.5533111576296746,0.5406404820187497,11.681764081042726,4.071392254587773,0.9739435812768285,1.9394083038924872,6.224543489016914,2.4059424864215355 +lower bound,12.0,0.5524293458724374,0.5281305906890805,11.556866999271788,3.8481334389743673,0.9442263028463582,1.742127418628981,6.191110884745435,2.308983375575737 +higher bound,12.0,0.5541120308673131,0.5562344910930027,11.798102156098482,4.321109068099768,1.0071769148195622,2.1798818716506045,6.252929252009979,2.529865259470635 +max val,15.0,0.5534124843045423,0.5424530693081256,11.720419410801828,3.925363862559517,0.9612693600090967,2.1378621214364832,6.227855556301478,2.421099315229931 +max val ml,15.0,0.5532262984393369,0.5437937591103914,11.70775372009456,3.971937409443929,0.9657926536971245,2.095194282586582,6.221219030323107,2.4278615215617565 +lower bound,15.0,0.5523115511064486,0.51314219928059,11.560861594098089,3.4773070703406925,0.9262230919794376,1.553560592382262,6.182375952897417,2.078633155045689 +higher bound,15.0,0.5543704159781331,0.573241702439316,11.858441726423486,4.450198280414067,1.007455160328798,3.1573967398398537,6.26363769623849,2.7654557987328205 +max val,18.0,0.5534100940875661,0.5471313625918468,11.74457180011688,3.8553731127486834,0.9535708350788974,2.2373031041312585,6.226969142196192,2.502293091190357 +max val ml,18.0,0.553507394718971,0.5347218054937928,11.677510014781198,3.993237319389361,0.9732331505154257,2.0464187520046218,6.232025094536224,2.318738701308295 +lower bound,18.0,0.5519385226627134,0.48596444636865704,11.509467912206786,2.8597401514174186,0.9116035297815799,0.9921754323984311,6.148948696269989,1.5593855985660354 +higher bound,18.0,0.5545147453070791,0.6100078899205139,11.906894971810038,5.11390222119564,1.0301890825092201,9.204419427830825,6.266610420485506,3.4192688549708947 +max val,20.0,0.5534306420026455,0.5578760156762826,11.772641785195466,3.58000577892664,0.9439192575195954,2.972851437051086,6.228040739964496,2.6908824364635726 +max val ml,20.0,0.55329862223979,0.5482865504799787,11.718821792528868,3.7562603247857953,0.9612383493811638,2.6718413934662735,6.223880633098088,2.509459270299829 +lower bound,20.0,0.5519352514949407,0.4505764774361153,11.555384994140773,2.774594879839442,0.9080549616627323,0.7190786423325003,6.14894989587075,0.9340773247415253 +higher bound,20.0,0.5544975121690991,0.6477827562938325,11.918143130444939,5.392530595680423,1.0126905548030738,12.914345486933748,6.267648412697565,4.523082243441299 diff --git a/results_new/0305/NR_Model_Noise/w-tau-nmax1_True_0.002_fitnoise_False/summary305_w-tau_nmax_1.csv b/results_new/0305/NR_Model_Noise/w-tau-nmax1_True_0.002_fitnoise_False/summary305_w-tau_nmax_1.csv new file mode 100644 index 0000000..7d12613 --- /dev/null +++ b/results_new/0305/NR_Model_Noise/w-tau-nmax1_True_0.002_fitnoise_False/summary305_w-tau_nmax_1.csv @@ -0,0 +1,30 @@ +n,id,t_shift,dlogz,dlogz_err +1,305,0.0,-0.00012746315988046165,nan +1.0,305.0,0.2,-0.00012746315988046165,nan +1.0,305.0,0.4,-0.00012746315988046165,nan +1.0,305.0,0.8,-0.00012746315988046165,nan +1.0,305.0,1.2,-0.00012746315988046165,nan +1.0,305.0,2.0,-0.00012746315988046165,nan +1.0,305.0,2.5,-0.00012746315988046165,nan +1.0,305.0,5.0,-0.00012746315988046165,nan +1.0,305.0,7.5,-0.00012746315988046165,nan +1.0,305.0,10.0,-0.00012746315988046165,nan +1.0,305.0,12.0,-0.00012746315988046165,nan +1.0,305.0,15.0,-0.00012746315988046165,nan +1.0,305.0,18.0,-0.00012746315988046165,nan +1.0,305.0,20.0,-0.00012746315988046165,nan +1.0,305.0,0.0,-0.00012746315988046165,nan +1.0,305.0,0.0,-14807.407206990574,0.1642521305848403 +1.0,305.0,0.2,-11796.374346985169,0.16386944912621632 +1.0,305.0,0.4,-9394.140537420573,0.16410100649746626 +1.0,305.0,0.8,-5965.58665924411,0.16231647317006795 +1.0,305.0,1.2,-3808.3035800820267,0.16118766180727315 +1.0,305.0,2.0,-1594.1593798532872,0.1611679728631828 +1.0,305.0,2.5,-946.4171061469376,0.15856245657033105 +1.0,305.0,5.0,-118.84139552678691,0.15522702035240804 +1.0,305.0,7.5,-55.22513244699801,0.15094928036648145 +1.0,305.0,10.0,-46.08224369749142,0.1444977620885472 +1.0,305.0,12.0,-43.414235538656534,0.14078076427232078 +1.0,305.0,15.0,-39.285098395346814,0.13332947658243646 +1.0,305.0,18.0,-34.898801935885594,0.12486316269119963 +1.0,305.0,20.0,-32.46158434807385,0.12048058969643384 diff --git a/results_new/0305/NR_Model_Noise/w-tau-nmax1_True__fitnoise_True/best_values_305_w-tau_nmax_1.csv b/results_new/0305/NR_Model_Noise/w-tau-nmax1_True__fitnoise_True/best_values_305_w-tau_nmax_1.csv new file mode 100644 index 0000000..b318dcf --- /dev/null +++ b/results_new/0305/NR_Model_Noise/w-tau-nmax1_True__fitnoise_True/best_values_305_w-tau_nmax_1.csv @@ -0,0 +1,21 @@ +,tshift,$\omega_0$,$\omega_1$,$\tau_0$,$\tau_1$,$A_0$,$A_1$,$\phi_0$,$\phi_1$,noise +max val,0.0,0.5564285269234441,0.4876554016843744,11.985190191701651,5.806858924339183,0.8472634026225401,1.1742239117011632,1.4592137079040852,4.951905688735766,-3.504407334548276 +max val ml,0.0,0.5564195547338697,0.48754708707165983,11.983766668636992,5.804442221442035,0.8475810755208077,1.1739620207258687,1.4588835323267113,4.951396102577797,-3.505506882872389 +lower bound,0.0,0.5563076644437724,0.4863140054712336,11.966849217486528,5.76907261490237,0.8408260963539134,1.1640741547039573,1.451725824015133,4.9439446371380456,-3.5343132254707967 +higher bound,0.0,0.5565501032744278,0.4889811890095025,12.003409314127907,5.844467136362284,0.8538979027578062,1.1844497370694411,1.4667856176826104,4.960048703849435,-3.4737598994468826 +max val,0.2,0.5564194570074642,0.48854948974430057,11.970655322199718,5.749147924069561,0.8532693899992243,1.1957061373468758,1.4589344206812933,4.951239620132692,-3.560841769510251 +max val ml,0.2,0.5564319242925385,0.48859335586732466,11.969874075958902,5.746692534638409,0.8535267712689166,1.1958333306449174,1.4595064060553347,4.95159237733932,-3.563091119796681 +lower bound,0.2,0.5563026019405827,0.4872067012055903,11.952983362462339,5.712321170133966,0.8469804625748583,1.1856716804468797,1.4516936234527966,4.943121549997272,-3.5914321460822443 +higher bound,0.2,0.556537567702517,0.4898900395860043,11.98810350645902,5.786536054145288,0.8597645729656629,1.2059983585836647,1.466226678834637,4.959295414457894,-3.529815905243268 +max val,0.4,0.5564141722573046,0.48914623215712416,11.961280062088377,5.7116000121776676,0.8571790724386044,1.2104432483171064,1.458766758200618,4.950956137492468,-3.5984100502241745 +max val ml,0.4,0.5564053373816007,0.4892225480972965,11.962031809972114,5.7165496613949704,0.8569237381273962,1.2096379080213586,1.4584682693684632,4.951275028845446,-3.60217938113934 +lower bound,0.4,0.5562980378182014,0.4878030933479256,11.944138127389168,5.675333244069605,0.8509470778747664,1.2001366557945794,1.4516497587848565,4.942852261911932,-3.629216542906203 +higher bound,0.4,0.556527145281247,0.49047244953659197,11.978359823233244,5.747501027915162,0.8634775348934629,1.2206132284705025,1.4657693955222422,4.958980687608612,-3.5670872847689807 +max val,0.8,0.5563961722697133,0.49037603077636616,11.943149853825382,5.636632290106023,0.8647598809345313,1.240402776432482,1.4579139456480261,4.950530971182095,-3.675118374823107 +max val ml,0.8,0.5563892287602442,0.49024005196860965,11.943211028214192,5.635055040234489,0.8649586110576977,1.2402756974222233,1.457633618744063,4.949891456668536,-3.678913396510417 +lower bound,0.8,0.5562882240302999,0.48905936316902776,11.927013364108962,5.601553852215324,0.8587741978116799,1.2303283556994444,1.4512263422880347,4.942725510954751,-3.706697573457003 +higher bound,0.8,0.5565038683434966,0.49169592817768737,11.959295408300743,5.672498219040652,0.8708351417757236,1.2506814874169312,1.4646075051269427,4.958512662921833,-3.6433385021885734 +max val,1.2,0.5563743795540432,0.49161491212271347,11.9262340377326,5.563774015307618,0.8719845135749231,1.27140620739163,1.4568229137454278,4.950623584590456,-3.7531008421212952 +max val ml,1.2,0.5563627064213438,0.4914642580759573,11.928336920805272,5.56193507023303,0.8714632488021594,1.2706570299662958,1.4560815208315756,4.949739888465217,-3.760062792519477 +lower bound,1.2,0.5562722021856547,0.490291460943134,11.910852983625343,5.5291752812190555,0.866194878075395,1.261237572832254,1.450490437343501,4.942855918419027,-3.7858563829209437 +higher bound,1.2,0.5564772603674271,0.49292104724871477,11.941601001172199,5.598453193568517,0.8778058818791987,1.2815756698879435,1.4632356339888208,4.958498914748177,-3.7204268198686625 diff --git a/results_new/0305/NR_Model_Noise/w-tau-nmax1_True__fitnoise_True/summary305_w-tau_nmax_1.csv b/results_new/0305/NR_Model_Noise/w-tau-nmax1_True__fitnoise_True/summary305_w-tau_nmax_1.csv new file mode 100644 index 0000000..a42c0a0 --- /dev/null +++ b/results_new/0305/NR_Model_Noise/w-tau-nmax1_True__fitnoise_True/summary305_w-tau_nmax_1.csv @@ -0,0 +1,6 @@ +n,id,t_shift,dlogz,dlogz_err +1,305,0.0,-70410.95864318493,0.1671239975679702 +1.0,305.0,0.2,-70069.898953373,0.16797573395551857 +1.0,305.0,0.4,-69842.66288093939,0.1680767459475936 +1.0,305.0,0.8,-69389.21022158946,0.16777828828092967 +1.0,305.0,1.2,-68938.61066386348,0.1683386097143218 diff --git a/results_new/0305/NR_Model_Noise/w-tau-nmax2_True__fitnoise_True/best_values_305_w-tau_nmax_2.csv b/results_new/0305/NR_Model_Noise/w-tau-nmax2_True__fitnoise_True/best_values_305_w-tau_nmax_2.csv new file mode 100644 index 0000000..41a4678 --- /dev/null +++ b/results_new/0305/NR_Model_Noise/w-tau-nmax2_True__fitnoise_True/best_values_305_w-tau_nmax_2.csv @@ -0,0 +1,9 @@ +,tshift,$\omega_0$,$\omega_1$,$\omega_2$,$\tau_0$,$\tau_1$,$\tau_2$,$A_0$,$A_1$,$A_2$,$\phi_0$,$\phi_1$,$\phi_2$,noise +max val,0.0,0.5557517232431293,0.5616901563386887,0.40377588192274905,11.685096337299386,5.110924942658973,3.997541933982639,0.9855548556658742,1.189484433983533,0.8127841019431582,1.4179676093954634,5.570128677676153,3.634987210621627,-5.5380280196166645 +max val ml,0.0,0.5557737324972097,0.5612190178944432,0.40215156076406705,11.681873908670699,5.139131302355634,3.9997591059005657,0.98715220834083,1.1872197447879276,0.7975739327866674,1.4194865825386853,5.557282043483317,3.6336541786268364,-5.543602578892305 +lower bound,0.0,0.5556831879312557,0.5600183798703938,0.40020377895826026,11.67507228359224,5.052811593993439,3.990780366233993,0.9806881680922833,1.1792098520008736,0.7818100411223201,1.4133183399583795,5.543263171585639,3.621838181430173,-5.639878354438558 +higher bound,0.0,0.5558207706392299,0.5633653178751676,0.4073900610693719,11.69496629764856,5.167117794776907,3.999738786896717,0.9904530325080434,1.2005430495474056,0.8459245919632414,1.4226938355533107,5.598602286524239,3.647810806055359,-5.440830337030974 +max val,0.2,0.5557095860949938,0.563337839712675,0.4044538532144649,11.68379822860344,5.090941909249646,3.997340378184777,0.9860903037905635,1.1846113407959882,0.8289181993578483,1.4149191251067912,5.5837566043375055,3.64223942560586,-5.6933045214832525 +max val ml,0.2,0.5557188601716607,0.5634831488884972,0.40383481466411664,11.67852402622359,5.110535830809937,3.999693617547764,0.9883787738434182,1.1811892947818947,0.8221609533995341,1.4154954583997557,5.577743524684435,3.6449560145666493,-5.692297394596146 +lower bound,0.2,0.5556415421524266,0.5615768000801711,0.4009107461337504,11.673777509147698,5.02754086416484,3.9898018367066204,0.9812118967505303,1.1738542627667001,0.797691818873626,1.4102370183732882,5.556435734444274,3.6282472312277165,-5.812484873881355 +higher bound,0.2,0.5557787505192686,0.5651739901399325,0.408354051359859,11.693647685746406,5.14632804457346,3.999711038038689,0.991031173779543,1.1959652589208456,0.8664044467235839,1.419669739067415,5.616391563422744,3.6562275919390728,-5.580116764345284 diff --git a/results_new/0305/NR_Model_Noise/w-tau-nmax2_True__fitnoise_True/summary305_w-tau_nmax_2.csv b/results_new/0305/NR_Model_Noise/w-tau-nmax2_True__fitnoise_True/summary305_w-tau_nmax_2.csv new file mode 100644 index 0000000..844cf09 --- /dev/null +++ b/results_new/0305/NR_Model_Noise/w-tau-nmax2_True__fitnoise_True/summary305_w-tau_nmax_2.csv @@ -0,0 +1,3 @@ +n,id,t_shift,dlogz,dlogz_err +2,305,0.0,-68462.27605193615,0.207602967053194 +2.0,305.0,0.2,-68180.42354454755,0.20681406797537608 diff --git a/results_new/0305/NR_Model_Noise/w-tau-nmax3_True__fitnoise_True/best_values_305_w-tau_nmax_3.csv b/results_new/0305/NR_Model_Noise/w-tau-nmax3_True__fitnoise_True/best_values_305_w-tau_nmax_3.csv new file mode 100644 index 0000000..0617bf2 --- /dev/null +++ b/results_new/0305/NR_Model_Noise/w-tau-nmax3_True__fitnoise_True/best_values_305_w-tau_nmax_3.csv @@ -0,0 +1,9 @@ +,tshift,$\omega_0$,$\omega_1$,$\omega_2$,$\omega_3$,$\tau_0$,$\tau_1$,$\tau_2$,$\tau_3$,$A_0$,$A_1$,$A_2$,$A_3$,$\phi_0$,$\phi_1$,$\phi_2$,$\phi_3$,noise +max val,0.0,0.5553805261500543,0.5836103950704314,0.411383140351455,0.49729607417090327,11.686189739930343,4.892504063828092,3.978293022971797,1.8078353444006932,0.9841742513130721,1.105017199013693,1.0603235379293703,0.13957910145660524,1.3905020052281776,5.809319823814607,3.685963315299383,5.372081131109008,-8.412197808093438 +max val ml,0.0,0.5553502832500176,0.5860867492946027,0.4113335190115106,0.49041036613147937,11.686127607560483,4.928894861832051,3.9906130167395393,1.924392271666481,0.9842758621540978,1.06758154127709,1.0718913735225735,0.1636889575591275,1.3882165068175218,5.825106285906366,3.701617665850005,5.440258902729076,-9.239644776139329 +lower bound,0.0,0.5553257142279591,0.580540863121772,0.40712293647590625,0.47547023727574245,11.678482712918495,4.840094819016199,3.945718403701915,1.7078020027986436,0.9803550679824776,1.0755553168043768,1.0065973662951344,0.11982746160188443,1.3868202366801576,5.769837729016949,3.6457646366674537,5.036053034069461,-9.0299889892746 +higher bound,0.0,0.5554347941410916,0.5861545600895983,0.415477901690516,0.5557986803728583,11.6940602919864,4.943686414612569,3.9965486676710995,1.8819112742027624,0.9879297516206837,1.1450706677170686,1.1068227215983384,0.1555671156758572,1.3942401927954942,5.849000860301288,3.722693731903482,5.522320473859601,-7.887872353896036 +max val,0.2,0.5553578498900823,0.6046330165216027,0.45191805135912255,0.3887797974394166,11.71425344932338,4.490769978887552,3.760366499433934,2.3843413323836042,0.9688713678291057,1.0354773884147348,1.9162597393280612,0.46988707776425226,1.388703433861752,0.032135022288045205,4.003544924345238,0.6168389162123008,-7.960326326244505 +max val ml,0.2,0.5553205447268917,0.6064457216148282,0.4477321435208706,0.3960159689886338,11.713067537355467,4.572871035760652,3.7781818358995554,2.4438716130348,0.9693783803168197,0.9710264856649219,1.8887586607786506,0.5057638692990212,1.3862056329259753,0.0020202390960279135,4.0012607100480375,0.586385751729972,-9.38894802611538 +lower bound,0.2,0.5553092818050764,0.6010228345388994,0.4494165681324298,0.3731106998368048,11.707621415920254,4.381214519124234,3.6871284551223917,2.3101277416412485,0.9654452795682141,0.9791228489195044,1.834881417524466,0.39669766529638134,1.3855303310603817,0.003619815860405935,3.9583258636064156,0.5305088379362749,-8.735699920966262 +higher bound,0.2,0.5554086682495876,0.6097794287521024,0.45752363229820936,0.4093634187690314,11.721404662630775,4.548134953267576,3.8116237618194675,2.4864454817233255,0.9720061205801069,1.1046168958718616,2.221534857785882,0.6663550672388918,1.3920870152351326,0.1769355271860906,4.053923698157967,0.694686316317728,-7.42846738225176 diff --git a/results_new/0305/NR_Model_Noise/w-tau-nmax3_True__fitnoise_True/summary305_w-tau_nmax_3.csv b/results_new/0305/NR_Model_Noise/w-tau-nmax3_True__fitnoise_True/summary305_w-tau_nmax_3.csv new file mode 100644 index 0000000..ebd3800 --- /dev/null +++ b/results_new/0305/NR_Model_Noise/w-tau-nmax3_True__fitnoise_True/summary305_w-tau_nmax_3.csv @@ -0,0 +1,3 @@ +n,id,t_shift,dlogz,dlogz_err +3,305,0.0,-68203.92261472954,0.2566831874207426 +3.0,305.0,0.2,-67971.66493481748,0.252224104357256 diff --git a/results_new/0305/NR_Model_Noise/w-tau-nmax4_True__fitnoise_True/best_values_305_w-tau_nmax_4.csv b/results_new/0305/NR_Model_Noise/w-tau-nmax4_True__fitnoise_True/best_values_305_w-tau_nmax_4.csv new file mode 100644 index 0000000..fb3451f --- /dev/null +++ b/results_new/0305/NR_Model_Noise/w-tau-nmax4_True__fitnoise_True/best_values_305_w-tau_nmax_4.csv @@ -0,0 +1,5 @@ +,tshift,$\omega_0$,$\omega_1$,$\omega_2$,$\omega_3$,$\omega_4$,$\tau_0$,$\tau_1$,$\tau_2$,$\tau_3$,$\tau_4$,$A_0$,$A_1$,$A_2$,$A_3$,$A_4$,$\phi_0$,$\phi_1$,$\phi_2$,$\phi_3$,$\phi_4$,noise +max val,0.0,0.5555690512640635,0.5693129580289732,0.41979660421331844,0.5627311723370865,0.37220204594280526,11.699299934268424,4.53154751557522,3.39547235058759,1.075350828116473,1.482815283809455,0.9764350416813873,1.593655209336668,1.4778526321694507,0.12847001035197492,0.345089402716979,1.4045587266239798,5.8383201118659125,3.325433957735871,1.0943065950138275,5.115400688608147,-7.695836851788865 +max val ml,0.0,0.5555245059686527,0.571637479426976,0.4215038385694281,0.5574636762337224,0.3792939645402689,11.700621127340181,4.509142006120018,3.4143814758931654,1.106276196464457,1.5434184717200885,0.9761508535250525,1.5754068993068375,1.5208676520898945,0.12127096301963251,0.3555175519565454,1.4012932456445317,5.873274833474024,3.3551824042635148,1.1233414642811002,5.182842763211943,-8.26507006908233 +lower bound,0.0,0.5555209997663415,0.5670997821865164,0.4140378704921687,0.5509799327314899,0.3629585565832457,11.692688588039207,4.466999157423805,3.3637878758516315,1.0158656610812424,1.425952136337131,0.9732300094577098,1.5426810902697796,1.4012218106216978,0.10773634552426489,0.3184615377984123,1.401382055355154,5.798081773376337,3.2811043315121133,0.9387717419256978,5.029423010355263,-8.008456344187906 +higher bound,0.0,0.5556252280423517,0.5716041690243882,0.42590285871038586,0.5753453331612985,0.38045379176837757,11.705964002215527,4.594877590287215,3.4274021600341125,1.1353100683409743,1.5521253430723487,0.9797136478324046,1.6416676583917806,1.5752324118833623,0.14606716742587245,0.36797773124998817,1.4081575683003988,5.887964234298404,3.369564143585594,1.2205963417290107,5.202807612943043,-7.379218742916219 diff --git a/results_new/0305/NR_Model_Noise/w-tau-nmax4_True__fitnoise_True/summary305_w-tau_nmax_4.csv b/results_new/0305/NR_Model_Noise/w-tau-nmax4_True__fitnoise_True/summary305_w-tau_nmax_4.csv new file mode 100644 index 0000000..83b1ccc --- /dev/null +++ b/results_new/0305/NR_Model_Noise/w-tau-nmax4_True__fitnoise_True/summary305_w-tau_nmax_4.csv @@ -0,0 +1,2 @@ +n,id,t_shift,dlogz,dlogz_err +4,305,0.0,-68280.46164636467,0.3112232260609119 diff --git a/results_new/0305/NR_Model_Noise/w-tau-nmax5_True__fitnoise_True/best_values_305_w-tau_nmax_5.csv b/results_new/0305/NR_Model_Noise/w-tau-nmax5_True__fitnoise_True/best_values_305_w-tau_nmax_5.csv new file mode 100644 index 0000000..3d54785 --- /dev/null +++ b/results_new/0305/NR_Model_Noise/w-tau-nmax5_True__fitnoise_True/best_values_305_w-tau_nmax_5.csv @@ -0,0 +1,5 @@ +,tshift,$\omega_0$,$\omega_1$,$\omega_2$,$\omega_3$,$\omega_4$,$\omega_5$,$\tau_0$,$\tau_1$,$\tau_2$,$\tau_3$,$\tau_4$,$\tau_5$,$A_0$,$A_1$,$A_2$,$A_3$,$A_4$,$A_5$,$\phi_0$,$\phi_1$,$\phi_2$,$\phi_3$,$\phi_4$,$\phi_5$,noise +max val,0.0,0.5554258484883278,0.4817839925454236,0.6543765966007721,0.41473065323549324,0.4194738883203567,0.39212065099886034,11.741748735884283,4.059272682388893,3.9405756952417823,1.2818259436253436,1.4558332115045685,1.6859694904787488,0.9541701353059766,2.218348193917571,0.7509923664340021,0.43606031149496616,0.06541995922737452,0.8553970089736795,1.3935055349311773,4.431259147764434,1.004937823602698,3.29431311617442,0.11208851971406279,0.5140566971947803,-6.342239970528347 +max val ml,0.0,0.555446919606809,0.47692739089750813,0.6435950611572839,0.4067011456247236,0.41026689377025427,0.40094808405440563,11.742027537903883,4.017475567249748,3.9732888951879137,1.2835253719647324,1.3766009777032875,1.6963321572315229,0.9541598635730351,2.200807931640131,0.8459644089725586,0.3438511028106841,0.02173423740596886,0.7899305249668843,1.3947224095686952,4.3463254643077915,0.8510063158309563,3.2762886910880766,0.08108279274281988,0.4282951444611759,-7.255356216745994 +lower bound,0.0,0.555380655518367,0.47910654648780915,0.6481458944992091,0.39888446999126315,0.40160964984130176,0.37672369164030883,11.73591855235526,4.028730179919849,3.869804872639836,1.221621141872796,1.3520112919045484,1.6628542234445738,0.9516423840564845,2.1718197115292166,0.6944702889499058,0.33757708295623745,0.014816048516261006,0.7578174388980371,1.3905970407914026,4.392637262888432,0.9293685420830409,3.1795188906246254,0.02065541150690116,0.43491714903692785,-6.459453121732945 +higher bound,0.0,0.5554690413618195,0.48503322484851197,0.6616677146577132,0.4282932190439357,0.4520476534958553,0.40759711779661045,11.74770683891457,4.091082095555632,3.9900999878348262,1.331312417815034,1.5645325315555743,1.6978812974329736,0.9566638117293295,2.2698497530295434,0.8095134999732171,0.5486560642375558,0.12112009234043455,0.9593701134627403,1.3963575400984145,4.482664397666411,1.112664438458196,3.393690329592853,0.2348804990307078,0.5889747592911612,-6.215348973620291 diff --git a/results_new/0305/NR_Model_Noise/w-tau-nmax5_True__fitnoise_True/summary305_w-tau_nmax_5.csv b/results_new/0305/NR_Model_Noise/w-tau-nmax5_True__fitnoise_True/summary305_w-tau_nmax_5.csv new file mode 100644 index 0000000..ea91d38 --- /dev/null +++ b/results_new/0305/NR_Model_Noise/w-tau-nmax5_True__fitnoise_True/summary305_w-tau_nmax_5.csv @@ -0,0 +1,2 @@ +n,id,t_shift,dlogz,dlogz_err +5,305,0.0,-68409.61804053547,0.36259378166161804 diff --git a/results_new/0305/NR_Model_Noise/w-tau-nmax6_True__fitnoise_True/best_values_305_w-tau_nmax_6.csv b/results_new/0305/NR_Model_Noise/w-tau-nmax6_True__fitnoise_True/best_values_305_w-tau_nmax_6.csv new file mode 100644 index 0000000..90cd9b3 --- /dev/null +++ b/results_new/0305/NR_Model_Noise/w-tau-nmax6_True__fitnoise_True/best_values_305_w-tau_nmax_6.csv @@ -0,0 +1,5 @@ +,tshift,$\omega_0$,$\omega_1$,$\omega_2$,$\omega_3$,$\omega_4$,$\omega_5$,$\omega_6$,$\tau_0$,$\tau_1$,$\tau_2$,$\tau_3$,$\tau_4$,$\tau_5$,$\tau_6$,$A_0$,$A_1$,$A_2$,$A_3$,$A_4$,$A_5$,$A_6$,$\phi_0$,$\phi_1$,$\phi_2$,$\phi_3$,$\phi_4$,$\phi_5$,$\phi_6$,noise +max val,0.0,0.555784399979739,0.5502000417176788,0.43018808183990875,0.3548458535213675,0.32638368437574933,0.3759414888634999,0.3169706347202318,11.746063478157378,4.572306341403819,3.624581790021879,0.00656019747611067,0.0060961527060602524,0.010667606685389804,0.0035311764811361236,0.9553309438007775,1.627697217179615,1.1986603403582268,12.997596894657736,33.04827151641895,64.32852058474867,82.49609566319025,1.4189064015276895,5.7069742732888225,3.3409444829380117,1.7293797838727818,5.573404505238957,5.062214361096718,2.1427363703103097,-4.4055937794695375 +max val ml,0.0,0.5558487668240246,0.5471303623484177,0.42787418998308424,0.3687196798971637,0.2652983050980263,0.3369466377832868,0.29527628394718997,11.755524520008036,4.595065281427835,3.6299617362097116,0.0003790391460551576,0.012424800882924502,0.0010435421425802928,0.0059631756154150785,0.9508813242012355,1.6280816604327033,1.1640815606152672,12.175187577471153,36.06822507561701,63.89018735477089,85.89281932051375,1.4234331601278774,5.6811487200083235,3.31393710982253,0.866035533369761,4.819681487452409,4.279139888735783,1.3943081850346626,-4.4785199862070115 +lower bound,0.0,0.555729975256888,0.5477128796772979,0.4252481557448252,0.2777354527381159,0.26679152731428457,0.298969912013133,0.21690262434616303,11.738116080793917,4.480205120564936,3.579221765984526,0.0010654705646226995,0.0006823961538631338,0.0009032397425672283,0.0004537362664543712,0.9513785358889449,1.5809752363463478,1.124115615677844,9.514315147055564,28.516551908786802,56.316190698735866,74.8744258604789,1.4152256697908685,5.654758434774244,3.2914270290877656,0.9066259751004647,4.795921744293756,4.281330338650034,1.3771460496814147,-4.447648939656528 +higher bound,0.0,0.5558420154075383,0.5529286718294604,0.43766495094004454,0.46277570576730875,0.37893962217952487,0.4706124716144964,0.43166934206597957,11.754808686842026,4.636841537288358,3.6734924599223153,0.012249264618471043,0.013138163241793583,0.012412468111443444,0.008535352796155714,0.9589718733267807,1.6926439373434823,1.327514615501287,16.962846099215174,37.0271218579534,74.43912627650218,91.79819100156767,1.4228027997009747,5.780696903421412,3.395492469723135,2.31199111193116,6.155248456542649,5.633571231284533,2.7260263068531514,-4.381960921325128 diff --git a/results_new/0305/NR_Model_Noise/w-tau-nmax6_True__fitnoise_True/summary305_w-tau_nmax_6.csv b/results_new/0305/NR_Model_Noise/w-tau-nmax6_True__fitnoise_True/summary305_w-tau_nmax_6.csv new file mode 100644 index 0000000..223bfcb --- /dev/null +++ b/results_new/0305/NR_Model_Noise/w-tau-nmax6_True__fitnoise_True/summary305_w-tau_nmax_6.csv @@ -0,0 +1,2 @@ +n,id,t_shift,dlogz,dlogz_err +6,305,0.0,-69051.14673087213,0.4079652108722449 diff --git a/results_new/0305/NR_Model_Noise/w-tau-nmax7_True__fitnoise_True/best_values_305_w-tau_nmax_7.csv b/results_new/0305/NR_Model_Noise/w-tau-nmax7_True__fitnoise_True/best_values_305_w-tau_nmax_7.csv new file mode 100644 index 0000000..ef72d7a --- /dev/null +++ b/results_new/0305/NR_Model_Noise/w-tau-nmax7_True__fitnoise_True/best_values_305_w-tau_nmax_7.csv @@ -0,0 +1,5 @@ +,tshift,$\omega_0$,$\omega_1$,$\omega_2$,$\omega_3$,$\omega_4$,$\omega_5$,$\omega_6$,$\omega_7$,$\tau_0$,$\tau_1$,$\tau_2$,$\tau_3$,$\tau_4$,$\tau_5$,$\tau_6$,$\tau_7$,$A_0$,$A_1$,$A_2$,$A_3$,$A_4$,$A_5$,$A_6$,$A_7$,$\phi_0$,$\phi_1$,$\phi_2$,$\phi_3$,$\phi_4$,$\phi_5$,$\phi_6$,$\phi_7$,noise +max val,0.0,0.5567502294793368,0.5056870335419803,0.4101406487290105,0.3949812158191464,0.29760020910296986,0.23931745143209568,0.21269711052020607,0.22978301471565465,11.811925252965118,5.142363159649213,1.1057092635098678,0.6584883337796281,0.551690366010491,0.5668846175888224,0.49760387988196336,0.5685936230781103,0.9217790842763517,1.584101822996127,2.426864245147899,8.537175374273767,27.435809413557326,39.13650402876574,7.032259200345339,17.057114674082765,1.4801222385734945,5.024774687425458,2.0151450518370777,5.941851760703746,5.87806553819001,2.145460397676268,4.362750570108911,4.151549722787168,-2.975530489487003 +max val ml,0.0,0.556571707189605,0.5048310074374014,0.4144993903914462,0.4093860897775591,0.28403759168974896,0.20017852829367433,0.23885021343658866,0.2577581267645813,11.798134711004995,5.094685515129518,1.1890202682919853,0.6317689644020676,0.5601806135540768,0.5659641276845491,0.5445407725318179,0.522217839036575,0.9254521330524312,1.596586732361115,1.9179913208155783,9.666945679095335,25.867340303107067,39.54246409475735,7.019078748767934,16.81163010032141,1.4684974448628514,5.0020568278579445,1.8576646306539737,5.8243820697791895,5.778821492500978,2.0457224519677926,4.330776391307642,4.0542373073152955,-2.9906692790421587 +lower bound,0.0,0.5565860826491307,0.5026522233726288,0.3610931671122701,0.36103930484590024,0.24487851659477217,0.20642409840647977,0.20176740999635584,0.20430536711819353,11.786228341668341,5.033731709668384,1.0292671837278766,0.5976702461941108,0.4834296066173669,0.5066473092024059,0.42805055312024365,0.5110209966017619,0.9123339797333934,1.5284034812711347,1.9945766659034239,5.79136855119647,24.91596111489714,34.77582549620863,5.598014177797204,14.165670586056567,1.469518558702603,4.997772444708088,1.747453035544125,5.612556009097234,5.551723098814052,1.7979129129940663,4.0520580222062,3.772584901895036,-2.9842934653126783 +higher bound,0.0,0.5569106111657176,0.5088723636062982,0.4772731751201324,0.46745996584958094,0.3520140584966081,0.3158076932292764,0.2634614146125176,0.2692347583143369,11.836747916981182,5.248690407092599,1.1968292209665785,0.7312527996454259,0.6216319151155104,0.637422001152936,0.6023678481526281,0.6452579323367532,0.9320275746690831,1.648137406827829,2.9395974467222494,10.763869982106222,30.138319965030725,42.26752428271106,8.659974096911851,19.055137602072218,1.4908080325652175,5.049815180793738,2.2887615253618883,6.216983064241062,6.162240258612728,2.411202721960261,4.6316614385750805,4.495791355805644,-2.967167991216183 diff --git a/results_new/0305/NR_Model_Noise/w-tau-nmax7_True__fitnoise_True/summary305_w-tau_nmax_7.csv b/results_new/0305/NR_Model_Noise/w-tau-nmax7_True__fitnoise_True/summary305_w-tau_nmax_7.csv new file mode 100644 index 0000000..270274e --- /dev/null +++ b/results_new/0305/NR_Model_Noise/w-tau-nmax7_True__fitnoise_True/summary305_w-tau_nmax_7.csv @@ -0,0 +1,2 @@ +n,id,t_shift,dlogz,dlogz_err +7,305,0.0,-70775.09133354263,0.4030347653337349 -- GitLab