TDI Format 2.0	index	value	stage	curve_fit:Ic	curve_fit:Ic_err	curve_fit:Rn	curve_fit:Rn_err	counter:Value
alert.type{str}='command'	0.0	0.0	0.0	0.0005010446218763267	1.1349509511734175e-06	0.004996268920274883	5.789727333179094e-06	0.0
alert.class{str}='stoner_measurement.plugins.command.alert:AlertCommand'	1.0	0.025	0.0	0.0005044817774652973	9.423324181256915e-07	0.004999922003784528	5.822876181480765e-06	0.025
alert.instance_name{str}='alert'	2.0	0.05	0.0	0.0005030171508776611	1.069392495403707e-06	0.004995617311110104	5.963714015273283e-06	0.05
alert.message_expr{str}="'Alert'"	3.0	0.07500000000000001	0.0	0.0004978057158119221	1.3187768504543439e-06	0.005005438627239867	6.128398979559385e-06	0.07500000000000001
counter.type{str}='state_scan'	4.0	0.1	0.0	0.0004900881978056501	7.304887184151307e-07	0.005013065444735017	5.426145139726575e-06	0.1
counter.class{str}='stoner_measurement.plugins.state_scan.counter:CounterPlugin'	5.0	0.125	0.0	0.00048824951435991567	1.0410389698016232e-06	0.0050108955464399745	6.20098177990196e-06	0.125
counter.instance_name{str}='counter'	6.0	0.15000000000000002	0.0	0.000481409632115813	1.3685012369310293e-06	0.004998335692863796	6.174558317413077e-06	0.15000000000000002
counter.collect_data{bool}=True	7.0	0.17500000000000002	0.0	0.000474705980094918	7.233273889792047e-07	0.004996239677378146	5.658378175717344e-06	0.17500000000000002
counter.clear_on_start{bool}=True	8.0	0.2	0.0	0.0004669195670611505	1.2565015165473086e-06	0.004997717964133306	5.7359594440208434e-06	0.2
counter.collect_filter{str}='counter.meas_flag'	9.0	0.225	0.0	0.0004574325431057525	1.0030648775851583e-06	0.005001422339117573	5.942752190861259e-06	0.225
counter.clear_filter{str}='True'	10.0	0.25	0.0	0.00045457685075892977	1.2040428494424734e-06	0.005008452343896381	5.994257195288267e-06	0.25
counter.collect_outputs{NoneType}=None	11.0	0.275	0.0	0.0004414722191402669	1.049456309965393e-06	0.005003129345889716	5.751670380588692e-06	0.275
counter.scan_generator.type{str}='SteppedScanGenerator'	12.0	0.30000000000000004	0.0	0.00043347905717071924	1.4523128066218727e-06	0.00499933734514696	6.004180329569332e-06	0.30000000000000004
counter.scan_generator.start{float}=0.0	13.0	0.325	0.0	0.0004162467905326191	1.5409711929712392e-06	0.005001848440869462	6.002549117278804e-06	0.325
counter.scan_generator.stages[0][0]{float}=2.5	14.0	0.35000000000000003	0.0	0.000407303568207484	1.3165415529169049e-06	0.005004982327775528	5.703425835298861e-06	0.35000000000000003
counter.scan_generator.stages[0][1]{float}=0.025	15.0	0.375	0.0	0.0003917088746077214	1.4874196490082672e-06	0.004994365166901602	6.1186890814746485e-06	0.375
counter.scan_generator.stages[0][2]{int}=100	16.0	0.4	0.0	0.00038060025117703515	1.3285728945737727e-06	0.0049960777180695784	5.905842119532051e-06	0.4
counter.scan_generator.stages[0][3]{bool}=True	17.0	0.42500000000000004	0.0	0.00036678650044174915	1.3808779401748543e-06	0.005008327572430892	6.068393696080066e-06	0.42500000000000004
counter.scan_generator.stages[1][0]{float}=-2.5	18.0	0.45	0.0	0.0003497777411822553	1.4675223210283401e-06	0.005008224291787418	5.701362093383444e-06	0.45
counter.scan_generator.stages[1][1]{float}=0.025	19.0	0.47500000000000003	0.0	0.0003349576312702478	1.4833464347755725e-06	0.004998016989372012	5.459724119875395e-06	0.47500000000000003
counter.scan_generator.stages[1][2]{int}=200	20.0	0.5	0.0	0.00031857839998191686	8.138262512562254e-07	0.005002306607358466	5.2806428107878024e-06	0.5
counter.scan_generator.stages[1][3]{bool}=True	21.0	0.525	0.0	0.00030224970763551544	1.3553327104210917e-06	0.004998951832591746	5.737256967299932e-06	0.525
counter.scan_generator.stages[2][0]{float}=0.0	22.0	0.55	0.0	0.0002858795238098648	1.5601859961144618e-06	0.005006045486559802	5.586405030681251e-06	0.55
counter.scan_generator.stages[2][1]{float}=0.025	23.0	0.5750000000000001	0.0	0.00026729700616905973	1.1779600069954892e-06	0.0050000060805516075	5.179678725601706e-06	0.5750000000000001
counter.scan_generator.stages[2][2]{int}=100	24.0	0.6000000000000001	0.0	0.00025395701140405144	1.42213374322229e-06	0.005004338351941086	5.495598863766699e-06	0.6000000000000001
counter.scan_generator.stages[2][3]{bool}=True	25.0	0.625	0.0	0.00023320189478440224	1.3682839568916232e-06	0.0049960161472607945	5.668580195586859e-06	0.625
counter.scan_generator.units{str}=''	26.0	0.65	0.0	0.00022104333543800312	1.3874525293464874e-06	0.005007298391388844	5.158488236179667e-06	0.65
curve_fit.type{str}='transform'	27.0	0.675	0.0	0.00020851456414005	1.5848197136048144e-06	0.004999102661062487	5.256197342559129e-06	0.675
curve_fit.class{str}='stoner_measurement.plugins.transform.curve_fit:CurveFitPlugin'	28.0	0.7000000000000001	0.0	0.00018277789076327425	1.202777894478523e-06	0.004996041089565273	5.211321833238062e-06	0.7000000000000001
curve_fit.instance_name{str}='curve_fit'	29.0	0.7250000000000001	0.0	0.00017011996954973947	1.6842178573074033e-06	0.005001798729129333	5.439991621318519e-06	0.7250000000000001
curve_fit.trace_key{str}='dummy:Dummy'	30.0	0.75	0.0	0.0001495490949034708	1.9338500401247153e-06	0.004999172998822198	5.3937203021365085e-06	0.75
curve_fit.column_key{str}=''	31.0	0.775	0.0	0.00013542761944416494	1.7214307690528988e-06	0.0050151720298389005	5.377988305687134e-06	0.775
curve_fit.advanced_mode{bool}=False	32.0	0.8	0.0	0.000121436853445742	1.268490479008511e-06	0.005000828377084091	4.962354205480265e-06	0.8
curve_fit.x_expr{str}="dummy.data['Dummy'].x"	33.0	0.8250000000000001	0.0	0.00010270534680367994	1.8655861403197292e-06	0.004996525648837048	4.833625115448766e-06	0.8250000000000001
curve_fit.y_expr{str}="dummy.data['Dummy'].x"	34.0	0.8500000000000001	0.0	8.991988694205629e-05	2.041507253463055e-06	0.004992518367984107	5.50974642844345e-06	0.8500000000000001
curve_fit.y_error_expr{str}=''	35.0	0.875	0.0	7.70749800523259e-05	2.0240469681512734e-06	0.004998251052213505	5.316949563397304e-06	0.875
curve_fit.fit_code{str}='def fit(I,Ic,Rn):\n    """RSJ Model function."""\n    RSJ=Rn*np.sign(I)*np.sqrt(np.abs(I**2-Ic**2))\n    return np.where(np.abs(I)<Ic,0,RSJ)\n\n\n# Optional: define p0(x, y) to compute initial parameter estimates.\ndef p0(I, V):\n    II=np.where(np.isclose(I,0),1E-12,I)\n    R=V/II\n    Rn=R[np.abs(V)>V.max()/2]\n    Rn=Rn.mean()\n    Ic=II[np.abs(V)<V.max()/20]\n    Ic=(Ic.max()-Ic.min())/2\n    return (Ic,Rn)\n'	36.0	0.9	0.0	6.325117280514871e-05	2.4077600942194357e-06	0.004995248379489101	5.137236534881505e-06	0.9
curve_fit.param_names[0]{str}='Ic'	37.0	0.925	0.0	4.492996854346296e-05	1.8394142635573033e-06	0.004995487731453761	4.888929120646902e-06	0.925
curve_fit.param_names[1]{str}='Rn'	38.0	0.9500000000000001	0.0	3.2768090626154044e-05	3.212944069047894e-06	0.004990988705237426	5.0898332755540236e-06	0.9500000000000001
curve_fit.param_settings.Ic.min{NoneType}=None	39.0	0.9750000000000001	0.0	1.8432274400187653e-05	3.992506900235914e-06	0.004995171810001743	5.176808574581713e-06	0.9750000000000001
curve_fit.param_settings.Ic.initial{NoneType}=None	40.0	1.0	0.0	3.2046045094961596e-06	7.480689787785594e-06	0.005002905322777526	5.059536315274282e-06	1.0
curve_fit.param_settings.Ic.max{NoneType}=None	41.0	1.0250000000000001	0.0	2.9353173564927836e-05	3.2055132839506137e-06	0.004993497920322553	5.133701070899294e-06	1.0250000000000001
curve_fit.param_settings.Rn.min{NoneType}=None	42.0	1.05	0.0	3.1358560741231226e-05	2.4146703069195335e-06	0.005003751757695373	5.263524955426888e-06	1.05
curve_fit.param_settings.Rn.initial{NoneType}=None	43.0	1.075	0.0	3.705866999719874e-05	3.077113870000263e-06	0.005007357249082006	5.1267489304533666e-06	1.075
curve_fit.param_settings.Rn.max{NoneType}=None	44.0	1.1	0.0	4.3160317840291474e-05	2.4554242251099245e-06	0.0050006101220353765	4.8933253733428525e-06	1.1
curve_fit.show_initial_trace{bool}=True	45.0	1.125	0.0	5.930558124746879e-05	2.0789116004504257e-06	0.005001050121230543	4.994977571510311e-06	1.125
curve_fit.show_best_fit_trace{bool}=True	46.0	1.1500000000000001	0.0	6.892548591128204e-05	2.2757958275091457e-06	0.005002340790720372	4.957598651525735e-06	1.1500000000000001
details.type{str}='command'	47.0	1.175	0.0	7.259921536210182e-05	1.5295582866185202e-06	0.00499658893286305	5.288338089230146e-06	1.175
details.class{str}='stoner_measurement.plugins.command.details:DetailsCommand'	48.0	1.2000000000000002	0.0	8.500282604914098e-05	1.504454551243012e-06	0.004998832165008061	5.045352477642112e-06	1.2000000000000002
details.instance_name{str}='details'	49.0	1.225	0.0	8.907317069479655e-05	1.945922407746206e-06	0.005001609558991634	4.929462181110681e-06	1.225
details.user{str}='Gavin'	50.0	1.25	0.0	9.527641660031985e-05	2.0007206795162402e-06	0.004994836733632914	4.974093341042707e-06	1.25
details.sample{str}='Dummy_JJ_1'	51.0	1.2750000000000001	0.0	9.584213364153486e-05	2.120069658643428e-06	0.004992964164682088	5.451551163673942e-06	1.2750000000000001
details.project{str}='Testing Code'	52.0	1.3	0.0	9.537990268921722e-05	2.1345495272779427e-06	0.004998816882581059	5.342373211549533e-06	1.3
details.notes{str}='This routine tests generating RSK data, fitting it, plotting it and the fits and the xtracted parameters and then saving the data.'	53.0	1.3250000000000002	0.0	0.00010379786462252396	1.7764155716451294e-06	0.00500473206093633	4.9526470082436415e-06	1.3250000000000002
dummy.type{str}='trace'	54.0	1.35	0.0	0.00011085743493496417	1.8155841084763203e-06	0.005007668640783902	5.050957189927277e-06	1.35
dummy.class{str}='stoner_measurement.plugins.trace.dummy:DummyPlugin'	55.0	1.375	0.0	0.00010731673095605251	7.451117383252622e-07	0.005000300334679388	5.076185921658181e-06	1.375
dummy.instance_name{str}='dummy'	56.0	1.4000000000000001	0.0	0.00010853059567917895	1.950149819921922e-06	0.004995861883841018	4.794796722951256e-06	1.4000000000000001
dummy.scan_generator.type{str}='FunctionScanGenerator'	57.0	1.425	0.0	0.00010941839819147845	1.966466088327635e-06	0.005004602897797269	5.041617970079515e-06	1.425
dummy.scan_generator.waveform{str}='Triangle'	58.0	1.4500000000000002	0.0	0.00011289420334897501	1.5680458279936566e-06	0.005003031258299721	5.2564603912662694e-06	1.4500000000000002
dummy.scan_generator.amplitude{float}=0.002	59.0	1.475	0.0	0.00010838648960769042	2.1136965881244983e-06	0.00500348600045792	5.1729715413696395e-06	1.475
dummy.scan_generator.offset{float}=0.0	60.0	1.5	0.0	0.00010528108512234478	1.748224643491564e-06	0.0049960364136176485	5.623589684398027e-06	1.5
dummy.scan_generator.phase{float}=0.0	61.0	1.5250000000000001	0.0	0.00010549136593538793	1.4908804544806362e-06	0.004999598932339632	4.9425015071744636e-06	1.5250000000000001
dummy.scan_generator.exponent{float}=2.0	62.0	1.55	0.0	0.00010235789774790669	2.1928444735791506e-06	0.004988730519731496	5.564989238236849e-06	1.55
dummy.scan_generator.periods{float}=1.0	63.0	1.5750000000000002	0.0	0.00010163640065967037	2.2251267129369514e-06	0.004998594422178466	5.456233384770625e-06	1.5750000000000002
dummy.scan_generator.num_points{int}=501	64.0	1.6	0.0	0.0001022824745138644	2.0444045564577344e-06	0.005002266510109427	5.181295152529679e-06	1.6
dummy.scan_generator.units{str}='A'	65.0	1.625	0.0	9.368695453074937e-05	2.1490147055940924e-06	0.004994157925317193	4.937927572317213e-06	1.625
dummy.report_channel_statistics{bool}=False	66.0	1.6500000000000001	0.0	8.866891440556228e-05	2.0174780621978648e-06	0.005000792577608355	4.976759697225813e-06	1.6500000000000001
dummy.critical_current{str}='0.5E-3*np.abs(np.sinc(counter.value))'	67.0	1.675	0.0	8.16713064419173e-05	2.216222928120261e-06	0.005004802986453701	5.2086821928624544e-06	1.675
dummy.normal_resistance{str}='5.0E-3'	68.0	1.7000000000000002	0.0	8.088822332812502e-05	2.3737385336961376e-06	0.005001838547812066	5.333029805520036e-06	1.7000000000000002
dummy.noise_level{str}='1.0E-7'	69.0	1.725	0.0	7.414656745365342e-05	2.2437875841682854e-06	0.004991140435991824	4.78415522088049e-06	1.725
dummy.rounding_level{str}='2.0'	70.0	1.75	0.0	6.609161556245222e-05	1.7588997677436192e-06	0.005004553801900975	5.1609428591085665e-06	1.75
k6221_dc_iv.type{str}='trace'	71.0	1.7750000000000001	0.0	6.771200611736869e-05	2.6487690835183496e-06	0.005001491751517637	5.384407079427559e-06	1.7750000000000001
k6221_dc_iv.class{str}='stoner_measurement.plugins.trace.k6221_2182a:Keithley6221_2182APlugin'	72.0	1.8	0.0	5.298351786393775e-05	2.3941489735265853e-06	0.005003057966436593	5.058242379774656e-06	1.8
k6221_dc_iv.instance_name{str}='k6221_dc_iv'	73.0	1.8250000000000002	0.0	5.272423858216995e-05	2.361191191063132e-06	0.005005657967950383	4.880485534685326e-06	1.8250000000000002
k6221_dc_iv.scan_generator.type{str}='FunctionScanGenerator'	74.0	1.85	0.0	4.470796665065146e-05	2.0919404706807285e-06	0.005001956561266897	5.2646305249890665e-06	1.85
k6221_dc_iv.scan_generator.waveform{str}='Sine'	75.0	1.875	0.0	4.052038180482488e-05	1.7801497177752854e-06	0.005000389490475637	4.99231798171313e-06	1.875
k6221_dc_iv.scan_generator.amplitude{float}=1.0	76.0	1.9000000000000001	0.0	2.9709219019585457e-05	2.861538016040639e-06	0.004996816253072509	4.770296114306855e-06	1.9000000000000001
k6221_dc_iv.scan_generator.offset{float}=0.0	77.0	1.925	0.0	2.6866266256626715e-05	2.8844886609640726e-06	0.00499713814117249	5.276291085706184e-06	1.925
k6221_dc_iv.scan_generator.phase{float}=0.0	78.0	1.9500000000000002	0.0	1.6057554901287797e-05	3.838289559390694e-06	0.005001962843445858	5.126194990572503e-06	1.9500000000000002
k6221_dc_iv.scan_generator.exponent{float}=1.0	79.0	1.975	0.0	1.6078404210888554e-05	3.580388965993697e-06	0.0050025013554094305	4.792163149085925e-06	1.975
k6221_dc_iv.scan_generator.periods{float}=1.0	80.0	2.0	0.0	1.2800125455392688e-05	4.574090661545242e-06	0.004999666129286228	5.209514598309848e-06	2.0
k6221_dc_iv.scan_generator.num_points{int}=100	81.0	2.025	0.0	1.6810124416027543e-05	3.266294817192925e-06	0.004995426143194677	5.045344819726929e-06	2.025
k6221_dc_iv.scan_generator.units{str}='A'	82.0	2.0500000000000003	0.0	1.8432027779384427e-05	4.201258896851642e-06	0.0049904370323052985	5.441982902132633e-06	2.0500000000000003
k6221_dc_iv.report_channel_statistics{bool}=False	83.0	2.075	0.0	2.2328737086984957e-05	3.181380880242822e-06	0.004999559923662499	4.767864135032929e-06	2.075
k6221_dc_iv.resource_6221{str}='GPIB0::22::INSTR'	84.0	2.1	0.0	2.8819504385005858e-05	3.395145762544621e-06	0.005005870321368454	5.1719182248295074e-06	2.1
k6221_dc_iv.resource_2182a{str}='GPIB0::7::INSTR'	85.0	2.125	0.0	3.062367777984112e-05	2.682316383899652e-06	0.005003368902317449	5.0642842185699525e-06	2.125
k6221_dc_iv.connection_mode{str}='via_6221_serial'	86.0	2.15	0.0	3.766043179187183e-05	2.781301884788661e-06	0.004993837474890369	4.862383337854264e-06	2.15
k6221_dc_iv.compliance_mode{str}='voltage'	87.0	2.1750000000000003	0.0	4.722644550959056e-05	2.6131751678181077e-06	0.00499652452559891	5.027660548640889e-06	2.1750000000000003
k6221_dc_iv.compliance{float}=10.0	88.0	2.2	0.0	5.120001986211642e-05	2.70912533951113e-06	0.0050036846420098745	5.012465056665898e-06	2.2
k6221_dc_iv.compliance_resistance{float}=1000.0	89.0	2.225	0.0	5.9674448814768104e-05	2.01472691811648e-06	0.005002146057543506	5.076779084054872e-06	2.225
k6221_dc_iv.source_delay{float}=0.001	90.0	2.25	0.0	5.202609324764883e-05	2.6503600825522743e-06	0.004993774842803573	5.174287231176354e-06	2.25
k6221_dc_iv.source_range_mode{str}='BEST'	91.0	2.275	0.0	5.5897868247648274e-05	1.2920386198622697e-06	0.005004293171510627	5.192104542204042e-06	2.275
k6221_dc_iv.source_range{float}=0.001	92.0	2.3000000000000003	0.0	5.733176425938483e-05	2.499493591544288e-06	0.004998340974817968	5.050863801443921e-06	2.3000000000000003
k6221_dc_iv.nplc{float}=1.0	93.0	2.325	0.0	6.11465804153033e-05	1.3906792959477077e-06	0.005004721866696388	5.021537401675771e-06	2.325
k6221_dc_iv.voltage_range{float}=0.0	94.0	2.35	0.0	6.645528270167309e-05	1.5989330861357876e-06	0.0050013294577866	5.121694164882726e-06	2.35
k6221_dc_iv.filter_enabled{bool}=False	95.0	2.375	0.0	6.28286936313848e-05	2.4417974982767003e-06	0.0049935702753590265	5.066590931097536e-06	2.375
k6221_dc_iv.filter_count{int}=10	96.0	2.4000000000000004	0.0	6.988023811566435e-05	2.196536863021885e-06	0.00500704720987406	5.121560198279947e-06	2.4000000000000004
k6221_dc_iv.analog_filter{bool}=False	97.0	2.4250000000000003	0.0	5.8678462796958826e-05	2.345859260888854e-06	0.004997307747090887	5.2748981731735555e-06	2.4250000000000003
k6221_dc_iv.relative_enabled{bool}=False	98.0	2.45	0.0	6.778894386786074e-05	2.5517895327209843e-06	0.005006313192105721	5.2138407850261996e-06	2.45
k6221_dc_iv.digits{int}=6	99.0	2.475	0.0	6.78782469959688e-05	2.4822376836615125e-06	0.00499456249974041	5.082369789672918e-06	2.475
k6221_dc_iv.output_tlink{int}=1	100.0	2.5	0.0	6.78833581918411e-05	2.5271140423956036e-06	0.00500226645869272	5.184387093082698e-06	2.5
k6221_dc_iv.input_tlink{int}=2	101.0	2.475	1.0	7.00577950113783e-05	2.0445321449840437e-06	0.004998820952039405	4.827939252493137e-06	2.475
plot_clear.type{str}='command'	102.0	2.45	1.0	6.536779350102158e-05	1.8938207352251516e-06	0.004990210452685407	4.920737969456683e-06	2.45
plot_clear.class{str}='stoner_measurement.plugins.command.plot_clear:PlotClearCommand'	103.0	2.425	1.0	6.629285665410496e-05	1.6033909661867994e-06	0.005003937910700135	4.922808459662899e-06	2.425
plot_clear.instance_name{str}='plot_clear'	104.0	2.4	1.0	6.804784250752072e-05	2.6269398598676993e-06	0.005005332900389293	5.4410871683746794e-06	2.4
plot_points.type{str}='command'	105.0	2.375	1.0	6.45532846962405e-05	2.0081381257847273e-06	0.004995213298883643	4.761154183120454e-06	2.375
plot_points.class{str}='stoner_measurement.plugins.command.plot_points:PlotPointsCommand'	106.0	2.35	1.0	6.0540887961081515e-05	1.6504167729114472e-06	0.005003016713572413	4.867074673479127e-06	2.35
plot_points.instance_name{str}='plot_points'	107.0	2.325	1.0	6.195201140273133e-05	2.6295036578740643e-06	0.004995547934358214	5.1811089033544046e-06	2.325
plot_points.x_key{str}='counter:Value'	108.0	2.3	1.0	5.44041617621406e-05	1.8979114154767155e-06	0.004995106780097925	4.731773503776646e-06	2.3
plot_points.x_axis_name{str}='top'	109.0	2.275	1.0	5.4261354391100566e-05	2.055443888129163e-06	0.005003593913707806	5.026078251118077e-06	2.275
plot_points.y_entries[0].key{str}='curve_fit:Ic'	110.0	2.25	1.0	5.15608931710403e-05	2.624169849752927e-06	0.005001487049602884	4.968605820424967e-06	2.25
plot_points.y_entries[0].label{str}='Ic'	111.0	2.225	1.0	4.2945715488861697e-05	2.6084669595523936e-06	0.004995902364173042	5.079717954283739e-06	2.225
plot_points.y_entries[0].y_axis{str}='left'	112.0	2.2	1.0	3.941419396850381e-05	2.2708119690407982e-06	0.0050009386566813785	4.879190811234852e-06	2.2
plot_points.y_entries[1].key{str}='curve_fit:Rn'	113.0	2.175	1.0	3.665946958461642e-05	1.2695677305742012e-06	0.005005065637480888	5.118660498189344e-06	2.175
plot_points.y_entries[1].label{str}='Rn'	114.0	2.15	1.0	4.061955609402665e-05	1.7596726756436861e-06	0.005001741449019182	5.1382707974247415e-06	2.15
plot_points.y_entries[1].y_axis{str}='right'	115.0	2.125	1.0	3.413112258889801e-05	2.744129275006699e-06	0.005002886252487434	4.989792759478316e-06	2.125
plot_trace.type{str}='command'	116.0	2.1	1.0	2.1632010969828567e-05	3.569130594241696e-06	0.00499539866182243	4.896920834037593e-06	2.1
plot_trace.class{str}='stoner_measurement.plugins.command.plot_trace:PlotTraceCommand'	117.0	2.075	1.0	1.779079403976007e-05	2.2372994148646376e-06	0.005008460757025723	4.930939487262592e-06	2.075
plot_trace.instance_name{str}='plot_trace'	118.0	2.05	1.0	2.6088817179700682e-05	3.05508720586971e-06	0.004998542931580058	4.963401154196023e-06	2.05
plot_trace.trace_key{str}='dummy:Dummy'	119.0	2.025	1.0	-2.84051003206495e-06	3.0423580009429535e-06	0.00499244684337048	4.991373282381777e-06	2.025
plot_trace.column_key{str}=''	120.0	2.0	1.0	1.2790797194408105e-05	3.839401748193401e-07	0.004993312252190404	4.909874417216642e-06	2.0
plot_trace.transpose{bool}=True	121.0	1.975	1.0	8.192039372857968e-06	5.162142137847076e-06	0.004995972653052759	4.9885540063902884e-06	1.975
plot_trace.advanced_mode{bool}=False	122.0	1.95	1.0	2.1632046028199883e-05	3.6503784467945887e-06	0.005000725327553406	5.013728517847271e-06	1.95
plot_trace.x_expr{str}="dummy.data['Dummy'].x"	123.0	1.9249999999999998	1.0	2.625365557171175e-05	3.1551767899132056e-06	0.0049934426070589845	5.2382138422950505e-06	1.9249999999999998
plot_trace.y_expr{str}="dummy.data['Dummy'].x"	124.0	1.9	1.0	2.7333265211202494e-05	2.557991717066525e-06	0.004994771405195705	5.1561724571052415e-06	1.9
plot_trace.title_expr{str}="'plot'"	125.0	1.875	1.0	3.999379125374291e-05	2.221896416034338e-06	0.0050084034153588045	5.341179334443108e-06	1.875
plot_trace.x_axis_name{str}='bottom'	126.0	1.85	1.0	4.230049898469835e-05	3.0047792332916177e-06	0.004999953531181627	5.51643358001916e-06	1.85
plot_trace.y_axis_name{str}='left'	127.0	1.825	1.0	5.0548474212370026e-05	1.4482325170453043e-06	0.004995332718696328	5.181421283928842e-06	1.825
save.type{str}='command'	128.0	1.7999999999999998	1.0	5.7618322052399346e-05	2.380992272649851e-06	0.005001028782667936	4.907957279298993e-06	1.7999999999999998
save.class{str}='stoner_measurement.plugins.command.save:SaveCommand'	129.0	1.775	1.0	6.516033209247699e-05	1.992587378438295e-06	0.005002122618002236	5.053148337203982e-06	1.775
save.instance_name{str}='save'	130.0	1.75	1.0	6.373399524189863e-05	2.2902900118489563e-06	0.00499094428264153	5.058882145704589e-06	1.75
save.path_expr{str}="'TDI_2.0_Format.txt'"	131.0	1.725	1.0	7.650496272910397e-05	2.115328007635821e-06	0.005005317188066109	5.276712558941667e-06	1.725
save.save_mode{str}='data'	132.0	1.7	1.0	7.477974853918479e-05	2.3632843966930907e-06	0.004990014082822294	5.215228112247232e-06	1.7
save.data_source{str}='counter'	133.0	1.6749999999999998	1.0	8.935330288748112e-05	1.9716744344308746e-06	0.0050064477280330425	5.09919363154287e-06	1.6749999999999998
save.no_overwrite{bool}=True	134.0	1.65	1.0	9.011706978637373e-05	1.7828254880433247e-06	0.004998074265940317	4.903551538621379e-06	1.65
status.type{str}='command'	135.0	1.625	1.0	9.368964710841089e-05	2.3396873594549103e-06	0.004996563824882541	5.379145576153897e-06	1.625
status.class{str}='stoner_measurement.plugins.command.status:StatusCommand'	136.0	1.6	1.0	9.608987069449977e-05	1.9657129707010137e-06	0.005007246497614785	5.151504554465212e-06	1.6
status.instance_name{str}='status'	137.0	1.575	1.0	9.966065021276715e-05	1.0358403086085578e-06	0.0049899986254601245	4.981844096066345e-06	1.575
status.status_expr{str}="'Ready'"	138.0	1.5499999999999998	1.0	0.00010350772540272703	1.942300860521661e-06	0.004991677223833784	5.288626353177175e-06	1.5499999999999998
sweep_time.type{str}='state_sweep'	139.0	1.525	1.0	0.00010447969763375885	1.6707717139376275e-06	0.0049878958080095395	4.913899838306435e-06	1.525
sweep_time.class{str}='stoner_measurement.plugins.state_sweep.sweep_time:SweepTimePlugin'	140.0	1.5	1.0	0.0001078597218734211	2.1847091834582694e-06	0.0050004127037407845	5.232843774271292e-06	1.5
sweep_time.instance_name{str}='sweep_time'	141.0	1.4749999999999999	1.0	0.0001044500077430748	1.6993957068881107e-06	0.004996095648403101	4.991777927742864e-06	1.4749999999999999
sweep_time.collect_data{bool}=False	142.0	1.45	1.0	0.00010967197810865282	1.8917971564363097e-06	0.004996548842094492	4.9050571366735625e-06	1.45
sweep_time.clear_on_start{bool}=True	143.0	1.425	1.0	0.00011698634204938184	1.9974867662587724e-06	0.005008552275420033	5.2298401857814725e-06	1.425
sweep_time.collect_filter{str}='sweep_time.meas_flag'	144.0	1.4	1.0	0.00011142757237756737	1.7186577675915218e-06	0.00499786553859876	4.966897838712904e-06	1.4
sweep_time.clear_filter{str}='True'	145.0	1.375	1.0	0.00011119601309075623	1.8651719224012242e-06	0.004998187193993272	5.300399305845108e-06	1.375
sweep_time.collect_outputs{NoneType}=None	146.0	1.3499999999999999	1.0	0.00010808338675937686	2.1857639234812845e-06	0.005000411756135203	5.281181835796664e-06	1.3499999999999999
sweep_time.sweep_generator.type{str}='MonitorAndFilterSweepGenerator'	147.0	1.325	1.0	0.0001038401525706025	1.8599724461631817e-06	0.005003322353981822	5.199734813669747e-06	1.325
sweep_time.sweep_generator.rows[0][0]{str}=''	148.0	1.2999999999999998	1.0	0.00010305441155327336	1.8127055462751415e-06	0.00500533284356677	4.805263195232927e-06	1.2999999999999998
sweep_time.sweep_generator.rows[0][1]{bool}=False	149.0	1.275	1.0	9.578801950761376e-05	2.012375590112838e-06	0.005005987979933404	5.170776223935981e-06	1.275
sweep_time.sweep_generator.rows[0][2]{float}=0.0	150.0	1.25	1.0	8.962968620059684e-05	1.918498810023816e-06	0.004999119859961022	5.060051608442794e-06	1.25
sweep_time.sweep_generator.timeout{float}=1.0	151.0	1.2249999999999999	1.0	8.926661510469116e-05	2.0057829427733585e-06	0.0049997211750249515	5.147750148712773e-06	1.2249999999999999
sweep_time.sweep_generator.termination_condition{str}=''	152.0	1.2	1.0	8.68134888959812e-05	2.3284797001055397e-06	0.005001809187432901	5.2069114933079635e-06	1.2
sweep_time.sweep_generator.poll_seconds{float}=0.05	153.0	1.1749999999999998	1.0	7.288803435385773e-05	1.3088815683704235e-06	0.004997990511300182	5.049721831057932e-06	1.1749999999999998
sweep_time.sweep_timeout_factor{float}=2.0	154.0	1.15	1.0	6.403365170971174e-05	2.2474410747268127e-06	0.004995405285049161	5.087989035929783e-06	1.15
wait.type{str}='command'	155.0	1.125	1.0	5.81619872980597e-05	2.3478889212150608e-06	0.005001485710981633	5.048756508147364e-06	1.125
wait.class{str}='stoner_measurement.plugins.command.wait:WaitCommand'	156.0	1.0999999999999999	1.0	4.6826343445314196e-05	2.537321273217856e-06	0.005001894379435314	4.7363176150690365e-06	1.0999999999999999
wait.instance_name{str}='wait'	157.0	1.075	1.0	4.336054671569056e-05	2.357722270461109e-06	0.0050073452678244985	4.807750873611543e-06	1.075
wait.delay_expr{str}='1.0'	158.0	1.0499999999999998	1.0	2.839766974387879e-05	1.5287603687903913e-06	0.004987342304527947	5.01523641780968e-06	1.0499999999999998
plot_trace_2.type{str}='command'	159.0	1.025	1.0	2.9674734409407397e-05	3.019620979618947e-06	0.005014034131268212	5.029032998264832e-06	1.025
plot_trace_2.class{str}='stoner_measurement.plugins.command.plot_trace:PlotTraceCommand'	160.0	1.0	1.0	1.5645068143062675e-05	4.061319621897506e-06	0.005002122926170531	5.067353470110245e-06	1.0
plot_trace_2.instance_name{str}='plot_trace_2'	161.0	0.9749999999999999	1.0	1.778547752015769e-05	2.287973551390607e-06	0.004995240308434502	5.016608747523532e-06	0.9749999999999999
plot_trace_2.trace_key{str}='curve_fit:initial_fit'	162.0	0.95	1.0	2.9157527374266008e-05	3.2808991265756163e-06	0.005000808114014023	5.158780178179635e-06	0.95
plot_trace_2.column_key{str}=''	163.0	0.9249999999999998	1.0	5.125034804734553e-05	2.7500216396982132e-06	0.004994944699125408	5.096557715739545e-06	0.9249999999999998
plot_trace_2.transpose{bool}=True	164.0	0.8999999999999999	1.0	6.287615059838073e-05	2.539041781857455e-06	0.005003726632790075	5.294570753132264e-06	0.8999999999999999
plot_trace_2.advanced_mode{bool}=False	165.0	0.875	1.0	6.47317180081359e-05	2.0173753426518296e-06	0.004990725053142779	4.8637035883526965e-06	0.875
plot_trace_2.x_expr{str}="dummy.data['Dummy'].x"	166.0	0.8499999999999999	1.0	8.72557249007076e-05	2.2585513304170215e-06	0.005003241555693615	5.157697711008288e-06	0.8499999999999999
plot_trace_2.y_expr{str}="dummy.data['Dummy'].x"	167.0	0.825	1.0	9.917076848572293e-05	1.294247808205354e-06	0.005000917483825649	5.0906543801831306e-06	0.825
plot_trace_2.title_expr{str}="'plot'"	168.0	0.7999999999999998	1.0	0.0001180914494233769	1.941516714053515e-06	0.004998910070337689	5.368844453038645e-06	0.7999999999999998
plot_trace_2.x_axis_name{str}='bottom'	169.0	0.7749999999999999	1.0	0.0001331050105179883	1.8612929777566974e-06	0.0049968499641956845	5.0993056129026085e-06	0.7749999999999999
plot_trace_2.y_axis_name{str}='left'	170.0	0.75	1.0	0.00015271304054010593	1.5457926710113268e-06	0.005001351267359734	5.042622394212075e-06	0.75
plot_trace_3.type{str}='command'	171.0	0.7249999999999999	1.0	0.00016674285258225376	1.8046714409149834e-06	0.005006440257709905	5.097684368679242e-06	0.7249999999999999
plot_trace_3.class{str}='stoner_measurement.plugins.command.plot_trace:PlotTraceCommand'	172.0	0.7	1.0	0.00018587716550176543	1.8616966827980454e-06	0.004992684593125491	5.464583917394668e-06	0.7
plot_trace_3.instance_name{str}='plot_trace_3'	173.0	0.6749999999999998	1.0	0.00019952660988061698	1.5221220329353487e-06	0.005000741350126431	5.245224598756828e-06	0.6749999999999998
plot_trace_3.trace_key{str}='curve_fit:best_fit'	174.0	0.6499999999999999	1.0	0.00022292688906351928	1.3063826790119998e-06	0.005002140808699798	5.609032418159627e-06	0.6499999999999999
plot_trace_3.column_key{str}=''	175.0	0.625	1.0	0.00024020442975138134	1.487598393287556e-06	0.0050091430292149635	5.11123400032613e-06	0.625
plot_trace_3.transpose{bool}=True	176.0	0.5999999999999999	1.0	0.0002531088834093918	1.450639619929261e-06	0.005007213193466626	5.391422631699991e-06	0.5999999999999999
plot_trace_3.advanced_mode{bool}=False	177.0	0.575	1.0	0.0002674100315405584	1.201372490427691e-06	0.004992329527831675	5.324882389319309e-06	0.575
plot_trace_3.x_expr{str}="dummy.data['Dummy'].x"	178.0	0.5499999999999998	1.0	0.00028825452214757967	1.3915763009419251e-06	0.00500142944365279	5.376687056330899e-06	0.5499999999999998
plot_trace_3.y_expr{str}="dummy.data['Dummy'].x"	179.0	0.5249999999999999	1.0	0.0003018653027447241	1.3136311389460516e-06	0.0049917311977288855	5.445140091030738e-06	0.5249999999999999
plot_trace_3.title_expr{str}="'plot'"	180.0	0.5	1.0	0.0003207926387535081	1.6498250883476668e-06	0.0049879407552469775	5.818777645327823e-06	0.5
plot_trace_3.x_axis_name{str}='bottom'	181.0	0.4750000000000001	1.0	0.00033583040420337077	1.5308748476089006e-06	0.004993191287396658	5.742495814505849e-06	0.4750000000000001
plot_trace_3.y_axis_name{str}='left'	182.0	0.44999999999999973	1.0	0.0003532978737898359	1.1978303472604602e-06	0.005003860525948242	5.201691193609915e-06	0.44999999999999973
curve_fit:Ic{float}=0.0005036620091485465	183.0	0.4249999999999998	1.0	0.00036344193685425264	1.4197550929772229e-06	0.005002339527622758	5.6136572146481845e-06	0.4249999999999998
curve_fit:Ic_err{float}=1.0484908777824332e-06	184.0	0.3999999999999999	1.0	0.00038147196649691503	1.2286445968902498e-06	0.004992410982825593	5.663958124026841e-06	0.3999999999999999
curve_fit:Rn{float}=0.005004098117082209	185.0	0.375	1.0	0.0003919607239629543	1.4361904264264545e-06	0.0050016188098332475	5.955145451161779e-06	0.375
curve_fit:Rn_err{float}=6.091794646936155e-06	186.0	0.3500000000000001	1.0	0.0004071798934852718	1.288251273055807e-06	0.005003042496671088	5.558903735232923e-06	0.3500000000000001
counter:Value{float}=0.0	187.0	0.32499999999999973	1.0	0.00041773749118466087	1.542871162801587e-06	0.0050141307766985626	6.185778361593784e-06	0.32499999999999973
	188.0	0.2999999999999998	1.0	0.0004261558118548356	1.076269004799292e-06	0.0049986768339879036	5.6475307052043395e-06	0.2999999999999998
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	300.0	-2.5	1.0	6.898337080504936e-05	2.132297253577932e-06	0.0050036443548715686	4.662818324095186e-06	-2.5
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	302.0	-2.45	2.0	6.452676756463365e-05	2.1970325428630063e-06	0.004995268794110714	5.195917463367347e-06	-2.45
	303.0	-2.425	2.0	6.099595186473461e-05	1.5393068682501313e-06	0.0050029191852299275	5.2176974333385755e-06	-2.425
	304.0	-2.4	2.0	7.000353021175174e-05	2.09665132720199e-06	0.004991086502728386	4.921941042646062e-06	-2.4
	305.0	-2.375	2.0	6.367937512439446e-05	2.2854561141401456e-06	0.004999736101003995	5.034259057401344e-06	-2.375
	306.0	-2.35	2.0	6.783174163847984e-05	2.5378122928237164e-06	0.005001005720255241	5.190762278010286e-06	-2.35
	307.0	-2.325	2.0	6.0845403745745324e-05	1.6143552353318792e-06	0.0049993625049996274	5.1764462555672045e-06	-2.325
	308.0	-2.3	2.0	5.7801571860874915e-05	2.3254123319472947e-06	0.004992746515385863	4.85263873860941e-06	-2.3
	309.0	-2.275	2.0	5.312310043094005e-05	2.4413990921357067e-06	0.004998978449229947	5.2203923412816e-06	-2.275
	310.0	-2.25	2.0	4.908062200796641e-05	2.086328650533187e-06	0.004996966224101697	4.9058376373643925e-06	-2.25
	311.0	-2.225	2.0	5.4150383880358045e-05	2.14237664410349e-06	0.005005144088388213	5.152300105424626e-06	-2.225
	312.0	-2.2	2.0	4.345812295586622e-05	2.4911653599809033e-06	0.005000971456380185	5.131475430767082e-06	-2.2
	313.0	-2.175	2.0	4.75828035886571e-05	2.4879357916893186e-06	0.005003435398762132	4.940021143679379e-06	-2.175
	314.0	-2.15	2.0	3.297130593016885e-05	3.21239588381169e-06	0.0049964488309381105	5.184512999307088e-06	-2.15
	315.0	-2.125	2.0	3.907183446628333e-05	2.534160829707049e-06	0.005003846679718589	5.181168193639974e-06	-2.125
	316.0	-2.1	2.0	3.901305767185169e-05	2.6200522797164797e-06	0.0050023567821869475	5.309334822005594e-06	-2.1
	317.0	-2.075	2.0	2.378408422198945e-05	2.520570111706037e-06	0.005004896305474234	4.964603880418898e-06	-2.075
	318.0	-2.05	2.0	1.8432041360447113e-05	3.7805433607881496e-06	0.004996152299424929	4.9026629454478986e-06	-2.05
	319.0	-2.025	2.0	1.548800986163761e-05	4.11430220276643e-06	0.004995451376398106	5.014091981663474e-06	-2.025
	320.0	-2.0	2.0	3.201942912609596e-06	7.082081353726527e-06	0.005004461015055819	4.784411862224692e-06	-2.0
	321.0	-1.975	2.0	2.332577571629169e-05	2.916403440410677e-06	0.005002299791337649	5.1505785444981345e-06	-1.975
	322.0	-1.95	2.0	2.508801777212677e-05	3.542764241928869e-06	0.005004551755930818	5.129265723821084e-06	-1.95
	323.0	-1.9249999999999998	2.0	2.2435447918823608e-05	3.5131037645014337e-06	0.005002285774578583	5.342241319462538e-06	-1.9249999999999998
	324.0	-1.9	2.0	2.0522363604335366e-05	2.5409764191395593e-06	0.004998413239135167	4.9042562574339416e-06	-1.9
	325.0	-1.875	2.0	3.285696209160779e-05	3.010754323395001e-06	0.004989203244955487	4.806046694062047e-06	-1.875
	326.0	-1.85	2.0	4.270004207225272e-05	2.6160801229690107e-06	0.004993441535861277	4.972419293285705e-06	-1.85
	327.0	-1.825	2.0	4.777069921516675e-05	2.4371877453464073e-06	0.0050008692439815405	4.9194010806981165e-06	-1.825
	328.0	-1.7999999999999998	2.0	5.706732826162204e-05	2.4648571165554175e-06	0.005006796357885136	4.9016192007232475e-06	-1.7999999999999998
	329.0	-1.775	2.0	6.34456414454431e-05	2.2352367288217474e-06	0.005004109343746741	4.842021390084954e-06	-1.775
	330.0	-1.75	2.0	7.107081286842941e-05	1.932406700670736e-06	0.0049975640446467485	5.033969995770218e-06	-1.75
	331.0	-1.725	2.0	7.492462885961094e-05	2.350759998298255e-06	0.0050064860004843635	5.2505217699513066e-06	-1.725
	332.0	-1.7	2.0	7.505757561578546e-05	2.2822265974307503e-06	0.00499847820759091	5.127669378811198e-06	-1.7
	333.0	-1.6749999999999998	2.0	8.652800647598415e-05	2.3280201412718757e-06	0.005007354024564301	5.145471712073749e-06	-1.6749999999999998
	334.0	-1.65	2.0	8.292028620129668e-05	2.0146817688952087e-06	0.004996044303120911	5.157187026326476e-06	-1.65
	335.0	-1.625	2.0	9.534445127202788e-05	2.02115794293849e-06	0.004998336590911682	5.048200720726343e-06	-1.625
	336.0	-1.6	2.0	9.572707754760935e-05	1.9290993724199485e-06	0.004993926213341453	4.924869235858977e-06	-1.6
	337.0	-1.575	2.0	0.00010277506446610698	2.003062227344226e-06	0.004996768244958267	5.212883114950864e-06	-1.575
	338.0	-1.5499999999999998	2.0	9.88498910590348e-05	1.406497666514833e-06	0.00500090111952959	5.081790174323632e-06	-1.5499999999999998
	339.0	-1.525	2.0	0.00010284651773711071	1.9283360537890625e-06	0.004999874324335914	5.042052322381109e-06	-1.525
	340.0	-1.5	2.0	0.00010510906721409261	1.5951003242774902e-06	0.005002921115216201	5.0283307572709e-06	-1.5
	341.0	-1.4749999999999999	2.0	0.0001088381143948054	2.123197755541706e-06	0.00499868268960387	5.294271812587285e-06	-1.4749999999999999
	342.0	-1.45	2.0	0.00011168200655634418	1.8442595526176089e-06	0.005001064116114068	5.441071650502785e-06	-1.45
	343.0	-1.425	2.0	0.00011190143531450838	1.7040892812185162e-06	0.004993425524809366	5.115645124170061e-06	-1.425
	344.0	-1.4	2.0	0.00011028611234753321	1.9040187961899117e-06	0.004997260339852173	5.1035131975259616e-06	-1.4
	345.0	-1.375	2.0	0.00010761669815271134	2.4244670646609467e-07	0.00499238365777659	5.049952317007871e-06	-1.375
	346.0	-1.3499999999999999	2.0	0.00011280275034854596	1.5979542122232289e-06	0.004996028612060666	5.284234562272853e-06	-1.3499999999999999
	347.0	-1.325	2.0	0.0001063084697576698	1.306510648126834e-06	0.004999275931829622	5.0726283740096335e-06	-1.325
	348.0	-1.2999999999999998	2.0	0.00010304131894675395	2.021765377824376e-06	0.005009351082235412	5.358678795401743e-06	-1.2999999999999998
	349.0	-1.275	2.0	9.495043041333963e-05	2.1550793054167365e-06	0.0049918638371101755	5.260020778127836e-06	-1.275
	350.0	-1.25	2.0	9.556276477235646e-05	2.0363215545677653e-06	0.00500183389703936	5.155090150459623e-06	-1.25
	351.0	-1.2249999999999999	2.0	8.399710610430065e-05	1.7571498112583724e-06	0.004999780673877267	5.0075722346761364e-06	-1.2249999999999999
	352.0	-1.2	2.0	8.157859271692248e-05	2.1803724782105337e-06	0.0049985602142267275	5.088166304261125e-06	-1.2
	353.0	-1.1749999999999998	2.0	7.112455667764645e-05	1.9346660611552115e-06	0.004997833497721272	5.072194744488087e-06	-1.1749999999999998
	354.0	-1.15	2.0	6.998970424611514e-05	2.2234562231557254e-06	0.004997096482091545	5.219158766665096e-06	-1.15
	355.0	-1.125	2.0	5.648372740165264e-05	2.7053540780361523e-06	0.004999809265325381	5.179407995075681e-06	-1.125
	356.0	-1.0999999999999999	2.0	5.1406853002742715e-05	2.8507354357495593e-06	0.005010957871324261	5.352330649980767e-06	-1.0999999999999999
	357.0	-1.075	2.0	4.45669692426675e-05	2.072134460913304e-06	0.005001315513238282	5.061107220450022e-06	-1.075
	358.0	-1.0499999999999998	2.0	3.1298528339612394e-05	2.349873600642472e-06	0.004999520398957349	5.043382959024895e-06	-1.0499999999999998
	359.0	-1.025	2.0	1.8839643838805678e-05	3.52670056138619e-06	0.004999305575800679	4.839419328560749e-06	-1.025
	360.0	-1.0	2.0	1.093344178639917e-05	4.315634612236649e-06	0.0049994724443987795	5.149113902536082e-06	-1.0
	361.0	-0.9749999999999999	2.0	1.915699898233477e-05	3.488832354923051e-06	0.005010875902799835	5.022896575655484e-06	-0.9749999999999999
	362.0	-0.95	2.0	3.801846534113285e-05	2.747167996082866e-06	0.005001706661426255	4.974996045014629e-06	-0.95
	363.0	-0.9249999999999998	2.0	2.982739564292311e-05	2.9403490813959376e-06	0.004997198475725628	4.967443906427196e-06	-0.9249999999999998
	364.0	-0.8999999999999999	2.0	5.726306016687525e-05	2.542511978375037e-06	0.00499705325533221	5.110651208208189e-06	-0.8999999999999999
	365.0	-0.875	2.0	6.768406944778345e-05	2.870773189825414e-07	0.0050033981094391175	5.068200382883816e-06	-0.875
	366.0	-0.8499999999999999	2.0	8.734197379581336e-05	2.3350549447285812e-06	0.005004590301201926	5.357367823720791e-06	-0.8499999999999999
	367.0	-0.825	2.0	0.00010601871831482166	1.4813798129807e-06	0.004999914390380468	5.381343045088566e-06	-0.825
	368.0	-0.7999999999999998	2.0	0.00011730776787049838	1.9419706162411582e-06	0.004998667157165326	5.152994244060794e-06	-0.7999999999999998
	369.0	-0.7749999999999999	2.0	0.00013647925611973404	1.521834158275771e-06	0.0050081683998707315	5.192022170696967e-06	-0.7749999999999999
	370.0	-0.75	2.0	0.00015351445158399323	1.5106359456410587e-06	0.004998734696759021	5.242705204354143e-06	-0.75
	371.0	-0.7249999999999999	2.0	0.0001679060771078581	1.6975109351179896e-06	0.004995287960887447	4.97456023034463e-06	-0.7249999999999999
	372.0	-0.7	2.0	0.00018606926495991574	1.8330428967539826e-06	0.005014464765510461	5.435429960830568e-06	-0.7
	373.0	-0.6749999999999998	2.0	0.0001991391698409717	1.6176955332868034e-06	0.0049932550873993285	5.461972001030857e-06	-0.6749999999999998
	374.0	-0.6499999999999999	2.0	0.00021683670715088059	1.7226299585249748e-06	0.0050029072787999155	5.419840602763351e-06	-0.6499999999999999
	375.0	-0.625	2.0	0.0002394674466497846	1.6711004184144755e-06	0.004999249679043373	5.597186589692528e-06	-0.625
	376.0	-0.5999999999999999	2.0	0.000253002916028037	1.4686740970110281e-06	0.0049937422176352655	5.4195368356042e-06	-0.5999999999999999
	377.0	-0.575	2.0	0.0002679919498957487	1.1320150166094182e-06	0.004991819335969876	5.307104731493132e-06	-0.575
	378.0	-0.5499999999999998	2.0	0.00028570975883814866	1.5170292915107728e-06	0.004994684502426415	5.394832162506135e-06	-0.5499999999999998
	379.0	-0.5249999999999999	2.0	0.0002992113303217667	1.5502707911323868e-06	0.004997260429937895	5.810253639988535e-06	-0.5249999999999999
	380.0	-0.5	2.0	0.00032319403622696897	1.4630895939458068e-06	0.005006224562303752	5.4668613710536696e-06	-0.5
	381.0	-0.4750000000000001	2.0	0.0003370534178785037	1.4485130654467544e-06	0.005005887375252757	5.6198284575401234e-06	-0.4750000000000001
	382.0	-0.44999999999999973	2.0	0.0003520204248582257	1.3274938979563563e-06	0.005005380697889803	5.498655449855806e-06	-0.44999999999999973
	383.0	-0.4249999999999998	2.0	0.00036849596858005783	1.1611882075111235e-06	0.005009716604333497	5.542537473510518e-06	-0.4249999999999998
	384.0	-0.3999999999999999	2.0	0.00037965479731426273	1.36985876305456e-06	0.004998067336479675	5.887355238629398e-06	-0.3999999999999999
	385.0	-0.375	2.0	0.00039292645026427377	1.4146183703531762e-06	0.0050092365937715105	6.03297225809398e-06	-0.375
	386.0	-0.3500000000000001	2.0	0.0004016697693310557	1.6220175849221454e-06	0.004998879273761889	6.209448712816991e-06	-0.3500000000000001
	387.0	-0.32499999999999973	2.0	0.0004191329962580295	1.4044946502192692e-06	0.005012803414378257	5.786748306256284e-06	-0.32499999999999973
	388.0	-0.2999999999999998	2.0	0.00042574685755831533	1.16958135438968e-06	0.005002070092819921	5.990502954825611e-06	-0.2999999999999998
	389.0	-0.2749999999999999	2.0	0.0004432677165023099	8.48656388708433e-07	0.005000797387861837	5.581433371988581e-06	-0.2749999999999999
	390.0	-0.25	2.0	0.00045017822298910756	1.3708108047627768e-06	0.00499680904117901	5.955021554989606e-06	-0.25
	391.0	-0.2250000000000001	2.0	0.0004623994248583524	1.4482483188049152e-06	0.005003788351064237	6.02096371703149e-06	-0.2250000000000001
	392.0	-0.19999999999999973	2.0	0.0004695945718382419	1.2250580006815787e-06	0.005009285978899385	6.100112562097568e-06	-0.19999999999999973
	393.0	-0.17499999999999982	2.0	0.0004772432051222382	1.5225465540006517e-06	0.004996864863883776	6.3463282563018806e-06	-0.17499999999999982
	394.0	-0.1499999999999999	2.0	0.0004874926651716059	1.0159270705909245e-06	0.0050109314478496625	5.734124722349684e-06	-0.1499999999999999
	395.0	-0.125	2.0	0.00048747104307087576	1.034273481400543e-06	0.00499315015803721	5.8094806984678105e-06	-0.125
	396.0	-0.09999999999999964	2.0	0.0004891359395466	8.858826180117968e-07	0.004988464876826375	5.712183796341767e-06	-0.09999999999999964
	397.0	-0.07499999999999973	2.0	0.0004956394058188762	1.4286418091793367e-06	0.005002437743884704	6.335969749804219e-06	-0.07499999999999973
	398.0	-0.04999999999999982	2.0	0.0004993244744227	1.3090955384373689e-06	0.004988945804565915	6.307094527701551e-06	-0.04999999999999982
	399.0	-0.02499999999999991	2.0	0.0004995728427242864	1.2981957324516366e-06	0.004993900944391689	6.305869448711095e-06	-0.02499999999999991
	400.0	0.0	2.0	0.0005036620091485465	1.0484908777824332e-06	0.005004098117082209	6.091794646936155e-06	0.0
