# Fig. 3(a) capture probability vs exit gate voltage (mV) for various temperatures
VD_T=1.5K	[-63.92264 -64.91428 -65.90592 -66.89756 -67.8892  -68.88084 -69.87248 -70.86412 -71.85576 -72.8474  -73.83904 -74.83068 -75.82232 -76.81396 -77.8056  -78.79724 -79.78888 -80.78052]
AvgN_T=1.5K	[9.99154511e-01 9.98384262e-01 9.96897296e-01 9.94194697e-01 9.90342639e-01 9.82984106e-01 9.69610695e-01 9.49472006e-01 9.14067730e-01 8.56263800e-01 7.62281856e-01 6.27592634e-01 4.53706995e-01 2.72068445e-01 1.09544086e-01 2.64985179e-02 3.50278287e-03 6.30288973e-05]
VD_T=2.0K	[-63.92264 -64.91428 -65.90592 -66.89756 -67.8892  -68.88084 -69.87248 -70.86412 -71.85576 -72.8474  -73.83904]
AvgN_T=2.0K	[0.99908471 0.99807603 0.99660256 0.99409544 0.98988002 0.98300607 0.96930932 0.94820461 0.90868225 0.84926132 0.75635299]
VD_T=2.5K	[-62.85472 -63.84636 -64.838   -65.82964 -66.82128 -67.81292 -68.80456 -69.7962  -70.78784 -71.77948 -72.77112 -73.76276 -74.7544  -75.74604 -76.73768 -77.72932 -78.72096 -79.7126  -80.70424]
AvgN_T=2.5K	[9.99295057e-01 9.98882498e-01 9.98097593e-01 9.96675207e-01 9.94173370e-01 9.90263382e-01 9.82977968e-01 9.71643721e-01 9.51783228e-01 9.18170480e-01 8.63619685e-01 7.84429846e-01 6.59331304e-01 4.88473106e-01 2.98003777e-01 1.35096159e-01 4.30832469e-02 6.31343609e-03 3.58981614e-04]
VD_T=3.0K	[-60.87144 -61.86308 -62.85472 -63.84636 -64.838   -65.82964 -66.82128 -67.81292 -68.80456 -69.7962  -70.78784 -71.77948 -72.77112 -73.76276 -74.7544  -75.74604 -76.73768 -77.72932 -78.72096 -79.7126  -80.70424]
AvgN_T=3.0K	[9.99403341e-01 9.99174476e-01 9.98659072e-01 9.97925165e-01 9.96993561e-01 9.95328746e-01 9.92592019e-01 9.88041083e-01 9.79785235e-01 9.68111454e-01 9.45372142e-01 9.08925594e-01 8.53533029e-01 7.64199292e-01 6.45999041e-01 4.84310019e-01 2.87821312e-01 1.35295641e-01 3.35025481e-02 5.55651123e-03 4.49684441e-04]
VD_T=3.5K	[-60.87144 -61.86308 -62.85472 -63.84636 -64.838   -65.82964 -66.82128 -67.81292 -68.80456 -69.7962  -70.78784 -71.77948 -72.77112 -73.76276 -74.7544  -75.74604 -76.73768 -77.72932 -78.72096 -79.7126  -80.70424]
AvgN_T=3.5K	[9.99274627e-01 9.98612551e-01 9.97838273e-01 9.97094644e-01 9.96020565e-01 9.93457648e-01 9.88752979e-01 9.82863300e-01 9.73841378e-01 9.60253745e-01 9.35848061e-01 8.93700356e-01 8.27754971e-01 7.37235751e-01 6.15465374e-01 4.59009116e-01 2.92999345e-01 1.35396482e-01 3.84300638e-02 6.54550553e-03 5.20608727e-04]
VD_T=4.0K	[-57.99187 -58.98351 -59.97515 -60.96679 -61.95843 -62.95007 -63.94171 -64.93335 -65.92499 -66.91663 -67.90827 -68.89991 -69.89155 -70.88319 -71.87483 -72.86647 -73.85811 -74.84975 -75.84139 -76.83303 -77.82467 -78.81631 -79.80795 -80.79959]
AvgN_T=4.0K	[9.99416499e-01 9.98855148e-01 9.98006060e-01 9.97094307e-01 9.95774157e-01 9.94321350e-01 9.92719924e-01 9.90748699e-01 9.87172098e-01 9.82319236e-01 9.74781899e-01 9.63075129e-01 9.43391637e-01 9.11748699e-01 8.67527453e-01 7.97310969e-01 7.01733468e-01 5.70085930e-01 4.01275932e-01 2.51847497e-01 1.17263439e-01 3.61672416e-02 5.19912584e-03 5.49033532e-04]
VD_T=4.5K	[-56.98116 -57.9728  -58.96444 -59.95608 -60.94772 -61.93936 -62.931   -63.92264 -64.91428 -65.90592 -66.89756 -67.8892  -68.88084 -69.87248 -70.86412 -71.85576 -72.8474  -73.83904 -74.83068 -75.82232 -76.81396 -77.8056  -78.79724 -79.78888 -80.78052]
AvgN_T=4.5K	[9.99112032e-01 9.98315198e-01 9.97467339e-01 9.96142446e-01 9.94479904e-01 9.93862108e-01 9.91262857e-01 9.87628923e-01 9.84909497e-01 9.80380477e-01 9.73481493e-01 9.63501639e-01 9.48176006e-01 9.27378797e-01 8.95946463e-01 8.45010999e-01 7.71245705e-01 6.75894547e-01 5.41787750e-01 4.06157028e-01 2.46638920e-01 1.09496167e-01 3.22741680e-02 4.93341849e-03 3.39598903e-04]
VD_T=5.0K	[-55.98952 -56.98116 -57.9728  -58.96444 -59.95608 -60.94772 -61.93936 -62.931   -63.92264 -64.91428 -65.90592 -66.89756 -67.8892  -68.88084 -69.87248 -70.86412 -71.85576 -72.8474  -73.83904 -74.83068 -75.82232 -76.81396 -77.8056  -78.79724 -79.78888 -80.78052]
AvgN_T=5.0K	[9.99092875e-01 9.98289290e-01 9.96981009e-01 9.95376181e-01 9.93357571e-01 9.90752750e-01 9.87382717e-01 9.83910909e-01 9.80833192e-01 9.76925501e-01 9.70602084e-01 9.62506515e-01 9.49780798e-01 9.32132438e-01 9.04588825e-01 8.64414268e-01 8.16023713e-01 7.38595407e-01 6.41194809e-01 5.12665072e-01 3.71896119e-01 2.22405451e-01 9.55188965e-02 2.58795087e-02 4.49385621e-03 2.72067619e-04]
VD_T=5.5K	[-55.98952 -56.98116 -57.9728  -58.96444 -59.95608 -60.94772 -61.93936 -62.931   -63.92264 -64.91428 -65.90592 -66.89756 -67.8892  -68.88084 -69.87248 -70.86412 -71.85576 -72.8474  -73.83904 -74.83068 -75.82232 -76.81396 -77.8056  -78.79724 -79.78888 -80.78052]
AvgN_T=5.5K	[9.98251437e-01 9.96765027e-01 9.94960183e-01 9.92549648e-01 9.89656303e-01 9.86038768e-01 9.81305959e-01 9.76358110e-01 9.72049373e-01 9.67037663e-01 9.59339066e-01 9.48679001e-01 9.33821563e-01 9.12872488e-01 8.84194243e-01 8.43446253e-01 7.84321376e-01 7.09388765e-01 6.09797457e-01 4.97147055e-01 3.60219007e-01 2.04701012e-01 9.50491654e-02 3.04103664e-02 5.92288138e-03 8.23333370e-04]
VD_T=6.0K	[-55.98952 -56.98116 -57.9728  -58.96444 -59.95608 -60.94772 -61.93936 -62.931   -63.92264 -64.91428 -65.90592 -66.89756 -67.8892  -68.88084 -69.87248 -70.86412 -71.85576 -72.8474  -73.83904 -74.83068 -75.82232 -76.81396 -77.8056  -78.79724 -79.78888 -80.78052]
AvgN_T=6.0K	[9.96984666e-01 9.94526171e-01 9.91982110e-01 9.88560224e-01 9.84712307e-01 9.79839068e-01 9.73805921e-01 9.67620587e-01 9.61925997e-01 9.55105000e-01 9.45964149e-01 9.33534075e-01 9.17099118e-01 8.92222466e-01 8.57676062e-01 8.13048131e-01 7.55874951e-01 6.72671847e-01 5.66839784e-01 4.62872681e-01 3.31210651e-01 1.98135957e-01 8.69870484e-02 2.82737201e-02 5.04264477e-03 4.81599017e-04]
