saving work again, refining and benchmarking energy loss and deposition

2026-06-18 15:40:15 -04:00 · 2026-06-18 15:40:15 -04:00 · 3a0c04b1c0
parent 4db59641cd
commit 3a0c04b1c0
17 changed files with 2685 additions and 1630 deletions
--- a/ELoss/E_vs_x_alpha.dat
+++ b/ELoss/E_vs_x_alpha.dat
@ -1,501 +0,0 @@
 Distance_cm	Energy_MeV
 -0.0	20.0
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 395.0388598615758	3.2148096192384763
 395.4112947221054	3.1747494989979956
 395.78057905637036	3.1346893787575145
 396.14670506282346	3.094629258517034
 396.50966495126	3.0545691382765527
 396.8694509560114	3.0145090180360716
 397.2260553504584	2.974448897795591
 397.57947046297727	2.93438877755511
 397.9296886944442	2.8943286573146287
 398.2767025374333	2.854268537074148
 398.6205045972552	2.814208416833667
 398.96108761499767	2.774148296593186
 399.2984444927423	2.734088176352705
 399.6325683211489	2.694028056112224
 399.9634524096145	2.653967935871743
 400.29109031923457	2.6139078156312623
 400.61547589881366	2.573847695390781
 400.9366033241955	2.5337875751503
 401.2544671412085	2.4937274549098194
 401.5690623125488	2.4536673346693383
 401.8803842689548	2.413607214428857
 402.18842896505953	2.3735470941883765
 402.4931929403446	2.3334869739478954
 402.7946733856608	2.2934268537074143
 403.0928682158252	2.2533667334669336
 403.38777614885544	2.2133066132264525
 403.67939679245796	2.1732464929859714
 403.96773073844946	2.1331863727454907
 404.2527796658612	2.0931262525050096
 404.53454645355384	2.0530661322645285
 404.8130353032589	2.013006012024048
 405.08825187406336	1.972945891783567
 405.3602034294654	1.932885771543086
 405.62889899825893	1.8928256513026052
 405.89434955064934	1.852765531062124
 406.1565681911722	1.8127054108216432
 406.4155703701773	1.7726452905811623
 406.6713741158654	1.7325851703406812
 406.924000289121	1.6925250501002003
 407.1734728636895	1.6524649298597194
 407.4198192345959	1.6124048096192383
 407.66307055812337	1.5723446893787574
 407.9032621271591	1.5322845691382765
 408.14043378630186	1.4922244488977956
 408.3746303918269	1.4521643286573145
 408.6059023224433	1.4121042084168336
 408.83430604779534	1.3720440881763527
 409.05990476288963	1.3319839679358716
 409.2827690981314	1.2919238476953907
 409.50297791649007	1.2518637274549098
 409.720619211578	1.2118036072144287
 409.93579112322465	1.1717434869739478
 410.14860309061146	1.131683366733467
 410.3591771673906	1.0916232464929858
 410.56764952869133	1.051563126252505
 410.7741722068665	1.011503006012024
 410.9789151016897	0.971442885771543
 411.18206832210495	0.931382765531062
 411.3838449314019	0.8913226452905811
 411.5844841870308	0.8512625250501001
 411.7842553918776	0.8112024048096191
 411.9834625081482	0.7711422845691382
 412.1824497316971	0.7310821643286572
 412.3816082891861	0.6910220440881764
 412.5813848114198	0.6509619238476954
 412.78229176721885	0.6109018036072144
 412.98492063570444	0.5708416833667335
 413.1899587890607	0.5307815631262525
 413.39821152006766	0.4907214428857715
 413.6106314026251	0.4506613226452906
 413.82835845643757	0.4106012024048096
 414.0527768775214	0.37054108216432863
 414.28559841515596	0.3304809619238477
 414.52899115012417	0.29042084168336674
 414.7857912004694	0.25036072144288574
 415.05987939580547	0.2103006012024048
 415.3569237107298	0.17024048096192385
 415.6860604172147	0.13018036072144287
 416.0629522674034	0.09012024048096191
 416.51813973247766	0.05006012024048096
 417.2439311693907	0.01
--- a/ELoss/E_vs_x_deuteron.dat
+++ b/ELoss/E_vs_x_deuteron.dat
@ -1,501 +0,0 @@
 Distance_cm	Energy_MeV
 -0.0	80.0
 88.94145560084779	79.83969939879759
 177.73811376114617	79.6793987975952
 266.38990738632776	79.51909819639279
 354.89676927821733	79.35879759519038
 443.25863213464766	79.19849699398797
 531.4754285490258	79.03819639278558
 619.5470910099426	78.87789579158317
 707.4735519007024	78.71759519038076
 795.2547434989275	78.55729458917835
 882.8905979761211	78.39699398797595
 970.3810473972279	78.23669338677355
 1057.72602372023	78.07639278557114
 1144.925458795662	77.91609218436874
 1231.9792843662026	77.75579158316633
 1318.8874320662153	77.59549098196393
 1405.6498334213331	77.43519038076153
 1492.2664198479627	77.27488977955912
 1578.737122652863	77.11458917835671
 1665.0618750414878	76.95428857715432
 1751.2406104727224	76.79398797595191
 1837.2732602787971	76.6336873747495
 1923.1597553096826	76.47338677354709
 2008.9000263033672	76.3130861723447
 2094.494003885416	76.15278557114229
 2179.9416185684527	75.99248496993988
 2265.242800751712	75.83218436873747
 2350.3974807205454	75.67188376753508
 2435.4055886459696	75.51158316633267
 2520.267054584132	75.35128256513026
 2604.9818084758526	75.19098196392785
 2689.549780146124	75.03068136272545
 2773.9708993036065	74.87038076152305
 2858.2450955401596	74.71008016032064
 2942.372298330293	74.54977955911824
 3026.35243703069	74.38947895791583
 3110.185440879683	74.22917835671343
 3193.87123899677	74.06887775551102
 3277.4097603820524	73.90857715430862
 3360.8009339157447	73.74827655310621
 3444.0446883576356	73.58797595190381
 3527.140952346588	73.4276753507014
 3610.0896543999665	73.267374749499
 3692.8907229131287	73.10707414829659
 3775.544086158874	72.9467735470942
 3858.049672286929	72.78647294589179
 3940.4074093233567	72.62617234468938
 4022.6172251700373	72.46587174348697
 4104.679047604098	72.30557114228458
 4186.592804277384	72.14527054108217
 4268.358422715854	71.98496993987976
 4349.975830319044	71.82466933867735
 4431.4449543594865	71.66436873747494
 4512.765721982134	71.50406813627255
 4593.938060203806	71.34376753507014
 4674.961895912566	71.18346693386773
 4755.837156951992	71.02316633266533
 4836.563772475164	70.86286573146293
 4917.141670412023	70.70256513026052
 4997.57077711412	70.54226452905812
 5077.851018801288	70.38196392785571
 5157.982321561019	70.22166332665331
 5237.964611347876	70.0613627254509
 5317.797813982838	69.9010621242485
 5397.481855152708	69.74076152304609
 5477.016660409467	69.5804609218437
 5556.402155169678	69.42016032064129
 5635.638264713804	69.25985971943888
 5714.724914185601	69.09955911823647
 5793.662028591454	68.93925851703408
 5872.44953279976	68.77895791583167
 5951.08735154023	68.61865731462926
 6029.575409403259	68.45835671342685
 6107.913630839253	68.29805611222444
 6186.101940157955	68.13775551102205
 6264.140261527799	67.97745490981964
 6342.028518975188	67.81715430861723
 6419.766636383837	67.65685370741483
 6497.354537494074	67.49655310621243
 6574.792145902167	67.33625250501002
 6652.079385059587	67.17595190380761
 6729.21617827233	67.0156513026052
 6806.202448700188	66.85535070140281
 6883.03811935607	66.6950501002004
 6959.723113105229	66.534749498998
 7036.2573526645665	66.37444889779559
 7112.64076060189	66.2141482965932
 7188.873259335194	66.05384769539079
 7264.954771131882	65.89354709418838
 7340.885218108038	65.73324649298597
 7416.664522227663	65.57294589178358
 7492.292607772306	65.41264529058117
 7567.769399063696	65.25234468937876
 7643.094817789836	65.09204408817635
 7718.268785280763	64.93174348697394
 7793.291222710537	64.77144288577155
 7868.162051096477	64.61114228456914
 7942.88119129832	64.45084168336673
 8017.448564017446	64.29054108216432
 8091.864089796049	64.13024048096193
 8166.127689016349	63.969939879759515
 8240.23928189972	63.80963927855711
 8314.198788505895	63.649338677354706
 8388.006128732124	63.4890380761523
 8461.661222312308	63.3287374749499
 8535.163988816179	63.16843687374749
 8608.514347648405	63.00813627254509
 8681.71221804776	62.84783567134268
 8754.75751908622	62.68753507014028
 8827.650169668112	62.52723446893787
 8900.390088529193	62.36693386773547
 8972.977194235795	62.20663326653306
 9045.411405183882	62.04633266533066
 9117.692639598179	61.88603206412825
 9189.820815531219	61.72573146292585
 9261.795850862447	61.56543086172344
 9333.617663297271	61.405130260521034
 9405.28617036612	61.24482965931863
 9476.801289423514	61.084529058116225
 9548.162937647083	60.92422845691382
 9619.371032036623	60.763927855711415
 9690.4254894131	60.603627254509014
 9761.326226726673	60.443326653306606
 9832.07814167799	60.283026052104205
 9902.686777207335	60.1227254509018
 9973.152615507579	59.962424849699396
 10043.475413403903	59.80212424849699
 10113.654927897724	59.641823647294586
 10183.690916168698	59.48152304609218
 10253.583135576691	59.32122244488978
 10323.33134366378	59.16092184368737
 10392.935298156212	59.00062124248497
 10462.394756966409	58.84032064128256
 10531.709478194929	58.68002004008016
 10600.879220132467	58.51971943887775
 10669.903741261809	58.35941883767535
 10738.782800259836	58.19911823647294
 10807.516155999478	58.03881763527053
 10876.103567551692	57.87851703406813
 10944.544794187457	57.718216432865724
 11012.839595379712	57.55791583166332
 11080.987730805355	57.397615230460914
 11148.988960347187	57.23731462925851
 11216.843044095905	57.077014028056105
 11284.549742352037	56.916713426853704
 11352.108815627931	56.756412825651296
 11419.52002464969	56.596112224448895
 11486.783130359152	56.43581162324649
 11553.897893915826	56.275511022044086
 11620.864076698866	56.11521042084168
 11687.681440309	55.954909819639276
 11754.349746570493	55.79460921843687
 11820.868759616935	55.63430861723447
 11887.23824443768	55.47400801603206
 11953.457964133342	55.31370741482966
 12019.52768137335	55.15340681362725
 12085.447159060515	54.99310621242485
 12151.216160332975	54.83280561122244
 12216.834448566113	54.67250501002003
 12282.301787374483	54.51220440881763
 12347.617940613743	54.35190380761522
 12412.782672382551	54.19160320641282
 12477.795747024496	54.03130260521041
 12542.65692912999	53.87100200400801
 12607.36598353819	53.710701402805604
 12671.92267533888	53.5504008016032
 12736.326769874388	53.390100200400795
 12800.578032741456	53.229799599198394
 12864.676229793145	53.069498997995986
 12928.621127140701	52.909198396793585
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 13056.050088470643	52.588597194388775
 13119.533685983364	52.42829659318637
 13182.863050856347	52.267995991983966
 13246.037950519867	52.10769539078156
 13309.058152673564	51.94739478957916
 13371.923425288314	51.78709418837675
 13434.633536608044	51.62679358717435
 13497.188255151585	51.46649298597194
 13559.587351555727	51.30619238476954
 13621.830597498376	51.14589178356713
 13683.917763059015	50.98559118236472
 13745.848617799324	50.82529058116232
 13807.622931565193	50.66498997995991
 13869.240474488495	50.50468937875751
 13930.7010169889	50.3443887775551
 13992.004329775633	50.1840881763527
 14053.150183849271	50.023787575150294
 14114.138350503492	49.86348697394789
 14174.968601326851	49.703186372745485
 14235.640708204515	49.542885771543084
 14296.154443320025	49.382585170340676
 14356.509579157013	49.222284569138274
 14416.705888500946	49.061983967935866
 14476.743144440832	48.901683366733465
 14536.621120370943	48.74138276553106
 14596.3395899925	48.581082164328656
 14655.898327315384	48.42078156312625
 14715.297106659802	48.26048096192385
 14774.535702657975	48.10018036072144
 14833.613890255787	47.93987975951904
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 14951.288141612165	47.61927855711422
 15009.883756845704	47.45897795591182
 15068.318068481985	47.29867735470941
 15126.590855515253	47.13837675350701
 15184.701895372782	46.9780761523046
 15242.650965161007	46.8177755511022
 15300.437842313295	46.65747494989979
 15358.062304591504	46.49717434869739
 15415.52413008756	46.336873747494984
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 15529.958984760464	46.016272545090175
 15586.931571785317	45.85597194388777
 15643.740637727069	45.695671342685365
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 15813.18450840288	45.214769539078155
 15869.337291063082	45.05446893787575
 15925.325454872405	44.894168336673346
 15981.14878130644	44.73386773547094
 16036.807052187156	44.57356713426854
 16092.300049684323	44.41326653306613
 16147.627556316882	44.25296593186372
 16202.789354954324	44.09266533066132
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 16367.278338572121	43.6117635270541
 16421.775146659926	43.4514629258517
 16476.10517093916	43.29116232464929
 16530.26819632399	43.13086172344689
 16584.264008088703	42.97056112224448
 16638.092391868966	42.81026052104208
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 16745.24601983302	42.48965931863727
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 16904.715413701313	42.008757515030055
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 17010.185164610113	41.688156312625246
 17062.66645116089	41.527855711422845
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 17167.12079116207	41.207254509018036
 17219.093423614337	41.04695390781563
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 17425.282142293363	40.40575150300601
 17476.40282530431	40.2454509018036
 17527.352495789673	40.0851503006012
 17578.13094707866	39.92484969939879
 17628.737971791452	39.76454909819639
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 17729.43691388378	39.44394789579158
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 17829.447670697547	39.12334669338677
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 17928.76859702525	38.80274549098196
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 18027.39805384422	38.48214428857715
 18076.452970689865	38.321843687374745
 18125.33440833822	38.161543086172344
 18174.042163660266	38.001242484969936
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 18270.93581676125	37.68064128256513
 18319.1213102356	37.52034068136272
 18367.13231277541	37.36004008016032
 18414.96862320797	37.19973947895791
 18462.630042597983	37.03943887775551
 18510.1163724889	36.8791382765531
 18557.427412922993	36.7188376753507
 18604.56296420102	36.55853707414829
 18651.522827018238	36.39823647294589
 18698.30680246465	36.23793587174348
 18744.91469202519	36.07763527054108
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 18837.60142140418	35.75703406813627
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 18929.581434939315	35.43643286573146
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 19020.85315874116	35.11583166332665
 19066.222921881657	34.955531062124244
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 19334.703842236628	33.993727454909816
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 19422.768974853712	33.67312625250501
 19466.5328295514	33.5128256513026
 19510.11728716576	33.3525250501002
 19553.522156181112	33.19222444889779
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 19725.341929661827	32.55102204408817
 19767.845996661086	32.39072144288577
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 19894.273066072717	31.909819639278556
 19936.053084029518	31.74951903807615
 19977.65162007975	31.589218436873747
 20019.068488540142	31.428917835671342
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 20101.35647890562	31.108316633266533
 20142.227228021817	30.948016032064128
 20182.915565203002	30.787715430861724
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 20921.091389293622	27.742004008016032
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 21031.537536075986	27.261102204408818
 21067.979989083153	27.100801603206413
 21104.235681657952	26.94050100200401
 21140.304437616338	26.780200400801604
 21176.186081343603	26.6198997995992
 21211.88043668886	26.459599198396795
 21247.387327522483	26.29929859719439
 21282.706578036294	26.138997995991986
 21317.83801274053	25.97869739478958
 21352.78145646074	25.818396793587176
 21387.53673433464	25.65809619238477
 21422.103671808913	25.497795591182363
 21456.482094635943	25.33749498997996
 21490.671828870523	25.177194388777554
 21524.672700866493	25.01689378757515
 21558.484537273347	24.856593186372745
 21592.10716558754	24.69629258517034
 21625.540413804978	24.535991983967936
 21658.784109587246	24.37569138276553
 21691.838080602916	24.215390781563126
 21724.702154800354	24.05509018036072
 21757.37616040413	23.894789579158317
 21789.859925911405	23.734488977955913
 21822.15328008834	23.574188376753508
 21854.256051966448	23.413887775551103
 21886.168070838994	23.2535871743487
 21917.889166257373	23.093286573146294
 21949.419168027533	22.93298597194389
 21980.757906537732	22.772685370741485
 22011.905212556205	22.61238476953908
 22042.860916696147	22.452084168336675
 22073.6248496121	22.29178356713427
 22104.196842197834	22.131482965931863
 22134.576725583083	21.971182364729458
 22164.76433113039	21.810881763527053
 22194.75949043207	21.65058116232465
 22224.5620353073	21.490280561122244
 22254.171797799383	21.32997995991984
 22283.588610173167	21.169679358717435
 22312.812305012092	21.00937875751503
 22341.84271514907	20.849078156312626
 22370.679673463346	20.68877755511022
 22399.323012947043	20.528476953907816
 22427.77256680687	20.36817635270541
 22456.028168463177	20.207875751503007
 22484.090377353667	20.047575150300602
 22511.960285171917	19.887274549098198
 22539.638273459033	19.726973947895793
 22567.12420655802	19.56667334669339
 22594.417947397782	19.406372745490984
 22621.519357466397	19.24607214428858
 22648.42829678365	19.085771543086175
 22675.1446238728	18.92547094188377
 22701.668195731527	18.76517034068136
 22727.998867802104	18.604869739478957
 22754.136493940645	18.444569138276552
 22780.080926385515	18.284268537074148
 22805.83201572478	18.123967935871743
 22831.389610862698	17.96366733466934
 22856.753558985223	17.803366733466934
 22881.92370552446	17.64306613226453
 22906.899894122027	17.482765531062125
 22931.681966591306	17.32246492985972
 22956.26976287851	17.162164328657315
 22980.66312102252	17.00186372745491
 23004.86187711347	16.841563126252506
 23028.865865249976	16.6812625250501
 23052.674917494995	16.520961923847697
 23076.288863830232	16.360661322645292
 23099.70753210905	16.200360721442888
 23122.930748007773	16.040060120240483
 23145.958334975374	15.879759519038075
 23168.790114181415	15.71945891783567
 23191.4259044622	15.559158316633265
 23213.865522265034	15.39885771543086
 23236.108781590498	15.238557114228456
 23258.155493932674	15.078256513026052
 23280.005468217187	14.917955911823647
 23301.65851073696	14.757655310621242
 23323.114425085612	14.597354709418838
 23344.3730120883	14.437054108216431
 23365.43406972997	14.276753507014027
 23386.2973930808	14.116452905811622
 23406.96277421875	13.956152304609217
 23427.430002149023	13.795851703406813
 23447.69886272029	13.635551102204408
 23467.76913853752	13.475250501002003
 23487.64060887116	13.314949899799599
 23507.313049562577	13.154649298597194
 23526.786232925428	12.99434869739479
 23546.059927642793	12.834048096192385
 23565.133898659817	12.673747494989978
 23584.007907071562	12.513446893787574
 23602.681710005818	12.35314629258517
 23621.155060500536	12.192845691382765
 23639.427707375573	12.03254509018036
 23657.499395098344	11.872244488977955
 23675.369863643053	11.71194388777555
 23693.038848343025	11.551643286573146
 23710.506079735707	11.391342685370741
 23727.771283399834	11.231042084168337
 23744.83417978423	11.07074148296593
 23761.69448402763	10.910440881763526
 23778.351905768915	10.750140280561121
 23794.806148947035	10.589839679358716
 23811.056911589865	10.429539078156312
 23827.103885591154	10.269238476953907
 23842.94675647465	10.108937875751502
 23858.585203144383	9.948637274549098
 23874.018897620022	9.788336673346693
 23889.247504756044	9.628036072144289
 23904.270681943366	9.467735470941884
 23919.08807879199	9.307434869739478
 23933.699336792928	9.147134268537073
 23948.104088957632	8.986833667334668
 23962.3019594328	8.826533066132264
 23976.29256308832	8.666232464929859
 23990.07550507575	8.505931863727454
 24003.650380354502	8.34563126252505
 24017.01677318239	8.185330661322645
 24030.17425656702	8.02503006012024
 24043.122391673813	7.864729458917835
 24055.860727185976	7.70442885771543
 24068.38879861121	7.544128256513026
 24080.706127528967	7.383827655310621
 24092.812220771455	7.2235270541082155
 24104.70656953037	7.063226452905811
 24116.3886483803	6.902925851703406
 24127.857914208187	6.742625250501002
 24139.11380503674	6.582324649298597
 24150.155738727517	6.422024048096192
 24160.983111547208	6.261723446893787
 24171.5952965777	6.101422845691382
 24181.991641947126	5.9411222444889775
 24192.171468855046	5.780821643286573
 24202.134069359803	5.620521042084168
 24211.878703890125	5.460220440881763
 24221.40459843549	5.299919839679358
 24230.710941360743	5.1396192384769535
 24239.796879778994	4.979318637274549
 24248.661515402888	4.819018036072144
 24257.30389977678	4.658717434869739
 24265.723028770444	4.498416833667334
 24273.91783618728	4.338116232464929
 24281.887186305154	4.177815631262525
 24289.629865123665	4.01751503006012
 24297.14457003535	3.857214428857715
 24304.429897566297	3.6969138276553104
 24311.484328739774	3.5366132264529053
 24318.306211499017	3.3763126252505007
 24324.89373947591	3.216012024048096
 24331.24492620372	3.055711422845691
 24337.357573637837	2.8954108216432863
 24343.22923356628	2.7351102204408813
 24348.857160170617	2.5748096192384766
 24354.238251675895	2.414509018036072
 24359.368978806957	2.254208416833667
 24364.245297891404	2.0939078156312623
 24368.8625474592	1.9336072144288576
 24373.21533026121	1.7733066132264528
 24377.297390255782	1.6130060120240481
 24381.10151147707	1.4527054108216433
 24384.619503339545	1.2924048096192384
 24387.842415530587	1.1321042084168336
 24390.761283551856	0.9718036072144288
 24393.36900895547	0.8115030060120241
 24395.664536365563	0.6512024048096192
 24397.661578266343	0.4909018036072144
 24399.407357268974	0.3306012024048096
 24401.03758108511	0.1703006012024048
 24403.491135119653	0.01
--- a/ELoss/E_vs_x_proton.dat
+++ b/ELoss/E_vs_x_proton.dat
@ -1,501 +0,0 @@
 Distance_cm	Energy_MeV
 -0.0	7.0
 2.7278193718149195	6.985991983967936
 5.451054351494548	6.971983967935872
 8.169704079537016	6.957975951903808
 10.883767694205085	6.943967935871743
 13.593244331515523	6.929959919839679
 16.29813312522841	6.915951903807615
 18.998433206836367	6.901943887775551
 21.694143705553707	6.887935871743487
 24.385263748305512	6.873927855711423
 27.07179245971663	6.859919839679359
 29.753728962100595	6.8459118236472944
 32.43107237544847	6.83190380761523
 35.10382181741762	6.817895791583166
 37.77197640332035	6.803887775551102
 40.435535246112565	6.789879759519038
 43.09449745638223	6.775871743486974
 45.74886214233785	6.76186372745491
 48.3986284097968	6.7478557114228455
 51.04379536217358	6.733847695390781
 53.684362100468036	6.719839679358717
 56.3203277232534	6.705831663326653
 58.951691326664346	6.691823647294589
 61.57845200438488	6.677815631262525
 64.20060884763602	6.6638076152304615
 66.81816094516421	6.649799599198397
 69.43110738322794	6.635791583166333
 72.03944724558602	6.621783567134269
 74.64317961348485	6.607775551102205
 77.2423035656458	6.593767535070141
 79.83681817825249	6.579759519038077
 82.42672252493797	6.5657515030060125
 85.01201567677185	6.551743486973948
 87.59269670224722	6.537735470941884
 90.16876466726762	6.52372745490982
 92.7402186351338	6.509719438877756
 95.30705766653038	6.495711422845692
 97.86928081951254	6.481703406813628
 100.42688714949243	6.4676953907815635
 102.97987570922558	6.453687374749499
 105.52824554879722	6.439679358717435
 108.07199571560841	6.425671342685371
 110.61112525436216	6.411663326653307
 113.14563320704937	6.397655310621243
 115.6755186129347	6.383647294589179
 118.20078050854232	6.3696392785571145
 120.72141792764155	6.35563126252505
 123.23742990123237	6.341623246492986
 125.74881545753088	6.327615230460922
 128.25557362195454	6.313607214428858
 130.7577034171074	6.299599198396794
 133.25520386276514	6.28559118236473
 135.74807397586005	6.2715831663326655
 138.23631277046584	6.257575150300601
 140.71991925778235	6.243567134268537
 143.19889244612017	6.229559118236473
 145.67323134088505	6.215551102204409
 148.14293494456228	6.201543086172345
 150.60800225670096	6.187535070140281
 153.06843227389794	6.173527054108217
 155.52422398978192	6.159519038076152
 157.97537639499726	6.145511022044088
 160.42188847718762	6.131503006012024
 162.86375922097957	6.11749498997996
 165.30098760796605	6.103486973947896
 167.7335726166896	6.089478957915832
 170.1615132226256	6.075470941883768
 172.58480839816517	6.061462925851703
 175.00345711259826	6.047454909819639
 177.4174583320962	6.033446893787575
 179.8268110196944	6.019438877755511
 182.23151413527472	6.005430861723447
 184.6315666355479	5.991422845691383
 187.0269674740356	5.977414829659319
 189.4177156010525	5.963406813627254
 191.80380996368808	5.94939879759519
 194.18524950578845	5.935390781563126
 196.56203316793773	5.921382765531062
 198.9341598874396	5.907374749498998
 201.30162859829844	5.893366733466934
 203.66443823120045	5.87935871743487
 206.02258771349454	5.8653507014028055
 208.37607596917312	5.851342685370741
 210.72490191885265	5.837334669338677
 213.06906447975408	5.823326653306613
 215.40856256568304	5.809318637274549
 217.74339508701004	5.795310621242485
 220.07356095065026	5.781302605210421
 222.39905906004327	5.7672945891783565
 224.7198883151327	5.753286573146292
 227.0360476123455	5.739278557114228
 229.34753584457115	5.725270541082164
 231.65435190114073	5.7112625250501
 233.9564946678056	5.697254509018036
 236.2539630267162	5.683246492985972
 238.54675585640035	5.6692384769539075
 240.83487203174158	5.655230460921843
 243.11831042395698	5.64122244488978
 245.39706990057573	5.627214428857716
 247.6711493254157	5.613206412825652
 249.94054755856172	5.599198396793588
 252.20526345634244	5.5851903807615235
 254.46529587130755	5.571182364729459
 256.7206436522045	5.557174348697395
 258.97130564395525	5.543166332665331
 261.21728068763247	5.529158316633267
 263.4585676204359	5.515150300601203
 265.6951652756681	5.501142284569139
 267.92707248271057	5.4871342685370745
 270.1542880669989	5.47312625250501
 272.37681084999815	5.459118236472946
 274.5946396491779	5.445110220440882
 276.8077732779872	5.431102204408818
 279.01621054582904	5.417094188376754
 281.2199502580346	5.40308617234469
 283.41899121583754	5.3890781563126255
 285.61333221634766	5.375070140280561
 287.80297205252464	5.361062124248497
 289.98790951315135	5.347054108216433
 292.1681433828068	5.333046092184369
 294.34367244183926	5.319038076152305
 296.5144954663385	5.305030060120241
 298.6806112281082	5.291022044088177
 300.8420184946382	5.277014028056112
 302.9987160290759	5.263006012024048
 305.150702590198	5.248997995991984
 307.29797693238163	5.23498997995992
 309.44053780557505	5.220981963927856
 311.5783839552686	5.206973947895792
 313.7115141224648	5.192965931863728
 315.8399270436485	5.178957915831663
 317.9636214507566	5.164949899799599
 320.08259607114735	5.150941883767535
 322.1968496275697	5.136933867735471
 324.3063808381318	5.122925851703407
 326.4111884162699	5.108917835671343
 328.5112710707161	5.094909819639279
 330.60662750546635	5.080901803607214
 332.69725641974816	5.06689378757515
 334.7831565079875	5.052885771543086
 336.86432645977567	5.038877755511022
 338.94076495983603	5.024869739478958
 341.01247068798983	5.010861723446894
 343.0794423191222	4.99685370741483
 345.1416785231476	4.9828456913827655
 347.1991779649748	4.968837675350701
 349.2519393044715	4.954829659318637
 351.29996119642874	4.940821643286573
 353.34324229052504	4.926813627254509
 355.38178123128966	4.912805611222445
 357.41557665806585	4.898797595190381
 359.44462720497376	4.8847895791583165
 361.4689315008726	4.870781563126252
 363.48848816932275	4.856773547094188
 365.5032958285473	4.842765531062124
 367.51335309139324	4.82875751503006
 369.51865856529184	4.814749498997996
 371.5192108522193	4.800741482965932
 373.5150085486565	4.7867334669338675
 375.5060502455482	4.772725450901803
 377.49233452826206	4.758717434869739
 379.4738599765474	4.744709418837675
 381.45062516449264	4.730701402805611
 383.4226286604834	4.716693386773547
 385.3898690271592	4.702685370741483
 387.35234482137025	4.6886773547094185
 389.31005459413336	4.674669338677354
 391.26299689058754	4.66066132264529
 393.21117024994925	4.646653306613226
 395.1545732054667	4.632645290581162
 397.0932042843739	4.618637274549099
 399.02706200784456	4.6046292585170345
 400.9561448909444	4.59062124248497
 402.88045144258393	4.576613226452906
 404.79998016547023	4.562605210420842
 406.7147295560582	4.548597194388778
 408.6246981045013	4.534589178356714
 410.5298842946015	4.52058116232465
 412.43028660375904	4.5065731462925855
 414.32590350292105	4.492565130260521
 416.21673345653005	4.478557114228457
 418.1027749224716	4.464549098196393
 419.98402635202126	4.450541082164329
 421.860486189791	4.436533066132265
 423.7321528736749	4.422525050100201
 425.5990248347943	4.4085170340681366
 427.4611004974421	4.394509018036072
 429.3183782790265	4.380501002004008
 431.170856590014	4.366492985971944
 433.01853383387174	4.35248496993988
 434.8614084070089	4.338476953907816
 436.69947869871777	4.324468937875752
 438.5327430911135	4.310460921843688
 440.36119995907376	4.296452905811623
 442.1848476701771	4.282444889779559
 444.00368458464067	4.268436873747495
 445.8177090552574	4.254428857715431
 447.6269194273319	4.240420841683367
 449.43131403861594	4.226412825651303
 451.2308912192428	4.212404809619239
 453.02564929166084	4.198396793587174
 454.8155865705666	4.18438877755511
 456.6007013628362	4.170380761523046
 458.3809919674566	4.156372745490982
 460.15645667545544	4.142364729458918
 461.9270937698303	4.128356713426854
 463.69290152547677	4.11434869739479
 465.45387820911554	4.1003406813627254
 467.21002207921873	4.086332665330661
 468.96133138593507	4.072324649298597
 470.70780437101394	4.058316633266533
 472.4494392677286	4.044308617234469
 474.1862343007983	4.030300601202405
 475.91818768630895	4.016292585170341
 477.6452976316334	4.0022845691382765
 479.36756233535	3.9882765531062123
 481.0849799871601	3.974268537074148
 482.79754876780487	3.960260521042084
 484.5052668489801	3.94625250501002
 486.20813239325065	3.9322444889779558
 487.9061435539631	3.9182364729458916
 489.5992984751573	3.9042284569138275
 491.2875952914768	3.8902204408817633
 492.97103212807775	3.876212424849699
 494.6496071005367	3.862204408817635
 496.3233183147566	3.8481963927855714
 497.9921638668722	3.834188376753507
 499.65614184315325	3.820180360721443
 501.3152503199067	3.806172344689379
 502.9694873633773	3.792164328657315
 504.61885102964686	3.7781563126252506
 506.26333936453176	3.7641482965931865
 507.9029504034791	3.7501402805611224
 509.5376821714612	3.7361322645290582
 511.16753268286834	3.722124248496994
 512.7924999414001	3.70811623246493
 514.4125819399551	3.694108216432866
 516.0277766605185	3.6801002004008017
 517.6380820740482	3.6660921843687375
 519.2434961403593	3.6520841683366734
 520.8440168080065	3.6380761523046092
 522.4396420141644	3.624068136272545
 524.0303696845069	3.610060120240481
 525.6161977330834	3.596052104208417
 527.1971240621936	3.5820440881763527
 528.7731465622608	3.5680360721442885
 530.344263111702	3.5540280561122244
 531.910471576797	3.5400200400801602
 533.4717698115545	3.526012024048096
 535.0281556575763	3.512004008016032
 536.5796269439198	3.497995991983968
 538.1261814869571	3.4839879759519037
 539.6678170902326	3.4699799599198395
 541.204531544318	3.4559719438877754
 542.7363226266648	3.4419639278557113
 544.263188101454	3.427955911823647
 545.7851257194441	3.413947895791583
 547.3021332178149	3.399939879759519
 548.814208320011	3.3859318637274547
 550.3213487355796	3.3719238476953906
 551.8235521600086	3.3579158316633264
 553.3208162745591	3.3439078156312623
 554.8131387460968	3.3298997995991986
 556.3005172269196	3.3158917835671344
 557.7829493545823	3.3018837675350703
 559.2604327517181	3.287875751503006
 560.732965025857	3.273867735470942
 562.2005437692407	3.259859719438878
 563.6631665586343	3.2458517034068137
 565.1208309551349	3.2318436873747496
 566.5735345039757	3.2178356713426854
 568.0212747343273	3.2038276553106213
 569.4640491590953	3.189819639278557
 570.9018552747135	3.175811623246493
 572.3346905609336	3.161803607214429
 573.7625524806112	3.1477955911823647
 575.1854384794872	3.1337875751503006
 576.6033459859651	3.1197795591182365
 578.0162724108845	3.1057715430861723
 579.4242151472896	3.091763527054108
 580.8271715701933	3.077755511022044
 582.2251390363372	3.06374749498998
 583.6181148839463	3.0497394789579158
 585.0060964324791	3.0357314629258516
 586.3890809823727	3.0217234468937875
 587.7670658147825	3.0077154308617233
 589.1400481913173	2.993707414829659
 590.5080253537684	2.979699398797595
 591.8709945238336	2.965691382765531
 593.2289529028351	2.9516833667334668
 594.5818976714321	2.9376753507014026
 595.9298259893272	2.9236673346693385
 597.2727349949669	2.9096593186372743
 598.6106218052347	2.89565130260521
 599.9434835151397	2.881643286573146
 601.2713171974972	2.867635270541082
 602.5941199026023	2.8536272545090178
 603.9118886578977	2.8396192384769536
 605.2246204676331	2.82561122244489
 606.5323123125181	2.811603206412826
 607.8349611493668	2.7975951903807617
 609.1325639107353	2.7835871743486975
 610.4251175045505	2.7695791583166334
 611.7126188137311	2.7555711422845692
 612.9950646958	2.741563126252505
 614.2724519824881	2.727555110220441
 615.5447774793284	2.713547094188377
 616.8120379652423	2.6995390781563127
 618.074230192115	2.6855310621242485
 619.3313508843618	2.6715230460921844
 620.5833967384841	2.6575150300601202
 621.8303644226155	2.643507014028056
 623.0722505760567	2.629498997995992
 624.3090518087996	2.615490981963928
 625.5407647010401	2.6014829659318637
 626.7673858026793	2.5874749498997995
 627.9889116328129	2.5734669338677354
 629.2053386792077	2.5594589178356713
 630.4166633977659	2.545450901803607
 631.6228822119759	2.531442885771543
 632.82399151235	2.517434869739479
 634.0199876558474	2.5034268537074147
 635.2108669652841	2.4894188376753505
 636.3966257287263	2.4754108216432864
 637.57726019887	2.4614028056112223
 638.7527665924039	2.447394789579158
 639.9231410893564	2.433386773547094
 641.0883798324259	2.41937875751503
 642.2484789262933	2.4053707414829657
 643.403434436917	2.3913627254509016
 644.5532423908096	2.3773547094188374
 645.6978987742947	2.3633466933867733
 646.837399532745	2.349338677354709
 647.9717405697995	2.335330661322645
 649.1009177465595	2.321322645290581
 650.2249268807634	2.307314629258517
 651.343763745939	2.293306613226453
 652.4574240705318	2.279298597194389
 653.5659035370106	2.2652905811623247
 654.6691977809472	2.2512825651302606
 655.7673023900711	2.2372745490981965
 656.8602129032973	2.2232665330661323
 657.947924809727	2.209258517034068
 659.0304335476199	2.195250501002004
 660.1077345033364	2.18124248496994
 661.1798230102507	2.1672344689378757
 662.2466943476319	2.1532264529058116
 663.3083437394913	2.1392184368737475
 664.3647663533984	2.1252104208416833
 665.4159572992597	2.111202404809619
 666.461911628063	2.097194388777555
 667.502624330583	2.083186372745491
 668.5380903360488	2.0691783567134268
 669.5683045107711	2.0551703406813626
 670.5932616567277	2.0411623246492985
 671.6129565101053	2.0271543086172343
 672.6273837397972	2.01314629258517
 673.6365379458541	1.9991382765531063
 674.6404136578868	1.9851302605210421
 675.6390053334192	1.971122244488978
 676.6323073561887	1.9571142284569139
 677.6203140343941	1.9431062124248497
 678.6030195988864	1.9290981963927858
 679.5804182013019	1.9150901803607217
 680.5525039121362	1.9010821643286575
 681.5192707187546	1.8870741482965934
 682.4807125233378	1.8730661322645292
 683.4368231407614	1.859058116232465
 684.3875962964037	1.845050100200401
 685.3330256238826	1.8310420841683368
 686.2731046627162	1.8170340681362727
 687.207826855905	1.8030260521042085
 688.1371855474328	1.7890180360721444
 689.0611739796833	1.7750100200400802
 689.9797852907685	1.761002004008016
 690.8930125117654	1.746993987975952
 691.8008485638582	1.7329859719438878
 692.7032862553813	1.7189779559118237
 693.6003182787601	1.7049699398797595
 694.4919372073449	1.6909619238476954
 695.3781354921331	1.6769539078156313
 696.258905458377	1.6629458917835673
 697.134239302071	1.6489378757515032
 698.0041290863143	1.634929859719439
 698.8685667375433	1.620921843687375
 699.7275440416299	1.6069138276553108
 700.5810526398385	1.5929058116232466
 701.429084024638	1.5788977955911825
 702.2716295353612	1.5648897795591183
 703.1086803537073	1.5508817635270542
 703.9402274990803	1.53687374749499
 704.7662618237558	1.522865731462926
 705.5867740078728	1.5088577154308618
 706.4017545542392	1.4948496993987976
 707.2111937829476	1.4808416833667335
 708.0150818257918	1.4668336673346694
 708.8134086204772	1.4528256513026052
 709.6061639046171	1.438817635270541
 710.3933372095069	1.424809619238477
 711.1749178536672	1.410801603206413
 711.950894936149	1.3967935871743489
 712.7212573295901	1.3827855711422847
 713.485993673016	1.3687775551102206
 714.2450923643743	1.3547695390781564
 714.9985415527954	1.3407615230460923
 715.7463291305688	1.3267535070140282
 716.4884427248264	1.312745490981964
 717.2248696889238	1.2987374749498999
 717.9555970935098	1.2847294589178357
 718.6806117172756	1.2707214428857716
 719.3999000373748	1.2567134268537075
 720.1134482195056	1.2427054108216433
 720.8212421076471	1.2286973947895792
 721.5232672134425	1.214689378757515
 722.219508705222	1.200681362725451
 722.9099513966596	1.1866733466933868
 723.59457973506	1.1726653306613226
 724.2733777892703	1.1586573146292587
 724.9463292372159	1.1446492985971946
 725.6134173530609	1.1306412825651304
 726.2746249939943	1.1166332665330663
 726.9299345866477	1.1026252505010021
 727.5793281131529	1.088617234468938
 728.2227870968503	1.0746092184368738
 728.8602925876662	1.0606012024048097
 729.4918251471778	1.0465931863727456
 730.1173648333956	1.0325851703406814
 730.7368911852956	1.0185771543086173
 731.3503832071427	1.0045691382765531
 731.9578193526588	0.990561122244489
 732.5591775090936	0.9765531062124249
 733.1544349812738	0.9625450901803608
 733.7435684757171	0.9485370741482967
 734.3265540849143	0.9345290581162325
 734.9033672719002	0.9205210420841684
 735.4739828552564	0.9065130260521043
 736.0383749947113	0.8925050100200401
 736.5965171775294	0.878496993987976
 737.1483822059166	0.8644889779559118
 737.6939421856978	0.8504809619238477
 738.233168516569	0.8364729458917837
 738.7660318842684	0.8224649298597195
 739.2925022550648	0.8084569138276554
 739.8125488730191	0.7944488977955912
 740.326140260544	0.7804408817635271
 740.8332442228618	0.766432865731463
 741.3338278570459	0.7524248496993988
 741.827857566429	0.7384168336673347
 742.3152990812727	0.7244088176352705
 742.7961174867132	0.7104008016032065
 743.2702772591421	0.6963927855711424
 743.7377423123319	0.6823847695390782
 744.1984760547988	0.6683767535070141
 744.6524414600849	0.65436873747495
 745.0996011518689	0.6403607214428858
 745.539917506055	0.6263527054108217
 745.9733527722675	0.6123446893787575
 746.3998692174815	0.5983366733466934
 746.8194292948573	0.5843286573146294
 747.2319958412235	0.5703206412825652
 747.6375323070641	0.5563126252505011
 748.0360030233255	0.5423046092184369
 748.4273735098587	0.5282965931863728
 748.8116108308706	0.5142885771543086
 749.1886840033662	0.5002805611222445
 749.5585644652407	0.4862725450901804
 749.921226610421	0.4722645290581163
 750.2766483992913	0.45825651302605214
 750.6248120535602	0.444248496993988
 750.9657048457805	0.43024048096192385
 751.2993199949399	0.41623246492985977
 751.6256576809496	0.40222444889779563
 751.9447261925424	0.3882164328657315
 752.2565432251473	0.37420841683366735
 752.561137347883	0.36020040080160326
 752.8585496621077	0.3461923847695391
 753.1488356782934	0.332184368737475
 753.4320674437788	0.31817635270541084
 753.7083359618387	0.3041683366733467
 753.9777539534064	0.2901603206412826
 754.2404590280589	0.27615230460921847
 754.4966173525295	0.2621442885771543
 754.7464279360931	0.24813627254509021
 754.9901276973127	0.23412825651302607
 755.2279975431011	0.22012024048096193
 755.4603697904361	0.20611222444889782
 755.6876374123866	0.19210420841683368
 755.9102658255209	0.17809619238476956
 756.128808311484	0.16408817635270542
 756.3439267836754	0.1500801603206413
 756.5564206643254	0.13607214428857717
 756.7672685147285	0.12206412825651303
 756.9776905815385	0.1080561122244489
 757.1892474491435	0.09404809619238477
 757.4040051495384	0.08004008016032065
 757.6248332005713	0.06603206412825652
 757.8560002111896	0.05202404809619239
 758.1045532333136	0.038016032064128256
 758.3838375161048	0.02400801603206413
 758.7192695486754	0.01
--- a/ELoss/HeLoss/E_vs_x_Al-27.dat
+++ b/ELoss/HeLoss/E_vs_x_Al-27.dat
--- a/ELoss/HeLoss/E_vs_x_Co-60.dat
+++ b/ELoss/HeLoss/E_vs_x_Co-60.dat
--- a/ELoss/HeLoss/E_vs_x_N-14.dat
+++ b/ELoss/HeLoss/E_vs_x_N-14.dat
--- a/ELoss/HeLoss/E_vs_x_N-17.dat
+++ b/ELoss/HeLoss/E_vs_x_N-17.dat
--- a/ELoss/HeLoss/E_vs_x_Ne-18.dat
+++ b/ELoss/HeLoss/E_vs_x_Ne-18.dat
--- a/ELoss/HeLoss/E_vs_x_O-17.dat
+++ b/ELoss/HeLoss/E_vs_x_O-17.dat
--- a/ELoss/HeLoss/E_vs_x_U-232.dat
+++ b/ELoss/HeLoss/E_vs_x_U-232.dat
--- a/ELoss/HeLoss/E_vs_x_alpha.dat
+++ b/ELoss/HeLoss/E_vs_x_alpha.dat
@ -0,0 +1,501 @@
 Distance_cm	Energy_MeV
 11879.008507650315	0.1
 11878.481648916826	0.30020040080160326
 11877.889358084234	0.5004008016032064
 11877.14419152254	0.7006012024048097
 11876.243093566243	0.9008016032064129
 11875.192552168632	1.1010020040080162
 11873.998732460594	1.3012024048096196
 11872.666252291932	1.5014028056112227
 11871.198430895727	1.701603206412826
 11869.597681789839	1.901803607214429
 11867.865818560009	2.1020040080160323
 11866.004262243572	2.3022044088176354
 11864.014175857343	2.502404809619239
 11861.896550367532	2.7026052104208422
 11859.652259434426	2.9028056112224454
 11857.282094315713	3.1030060120240486
 11854.786786194802	3.3032064128256517
 11852.167020532901	3.503406813627255
 11849.423446354382	3.703607214428858
 11846.556682311282	3.9038076152304613
 11843.567320701984	4.104008016032064
 11840.455930193983	4.304208416833667
 11837.223057729954	4.50440881763527
 11833.869229923002	4.7046092184368735
 11830.394954135576	4.904809619238478
 11826.800719364885	5.105010020040081
 11823.086997011427	5.305210420841684
 11819.254241577584	5.505410821643287
 11815.302891324269	5.70561122244489
 11811.233368901621	5.9058116232464934
 11807.046081962239	6.106012024048097
 11802.741423760875	6.3062124248497
 11798.319773741876	6.506412825651303
 11793.781498114078	6.706613226452906
 11789.126950412241	6.906813627254509
 11784.356472043744	7.1070140280561125
 11779.470392819298	7.307214428857716
 11774.469031466571	7.507414829659319
 11769.352696125843	7.707615230460922
 11764.121684827027	7.907815631262525
 11758.776285947675	8.108016032064128
 11753.316778651762	8.308216432865732
 11747.743433309288	8.508416833667335
 11742.056511896846	8.708617234468939
 11736.256268379522	8.908817635270541
 11730.34294907451	9.109018036072145
 11724.316792996991	9.309218436873747
 11718.17803218887	9.509418837675351
 11711.926892030951	9.709619238476956
 11705.563591539289	9.909819639278558
 11699.08792480424	10.110020040080162
 11692.499360888267	10.310220440881764
 11685.797815429769	10.510420841683368
 11678.983553312324	10.71062124248497
 11672.056839135257	10.910821643286575
 11665.017937814386	11.111022044088177
 11657.867114418383	11.311222444889781
 11650.604633226	11.511422845691383
 11643.230758170645	11.711623246492987
 11635.745754182148	11.91182364729459
 11628.149886879517	12.112024048096194
 11620.443422383125	12.312224448897796
 11612.626625408711	12.5124248496994
 11604.699760909443	12.712625250501002
 11596.663096137214	12.912825651302606
 11588.516899120712	13.11302605210421
 11580.261438695687	13.313226452905813
 11571.896982534096	13.513426853707417
 11563.423798383497	13.713627254509019
 11554.842156628112	13.913827655310623
 11546.152329142464	14.114028056112225
 11537.354588845574	14.31422845691383
 11528.449209249662	14.514428857715432
 11519.436462321988	14.714629258517036
 11510.316621353259	14.914829659318638
 11501.089963162327	15.115030060120242
 11491.756765783051	15.315230460921844
 11482.317308493957	15.515430861723448
 11472.771871627308	15.71563126252505
 11463.120733434325	15.915831663326655
 11453.36417339151	16.11603206412826
 11443.502475374968	16.316232464929865
 11433.535924607782	16.516432865731467
 11423.46480767708	16.71663326653307
 11413.289412549286	16.91683366733467
 11403.010026836706	17.117034068136277
 11392.626937178957	17.31723446893788
 11382.140433083243	17.517434869739482
 11371.550807558444	17.717635270541084
 11360.858355034263	17.91783567134269
 11350.063371367278	18.118036072144292
 11339.166153845685	18.318236472945895
 11328.167000037185	18.518436873747497
 11317.066205661768	18.718637274549103
 11305.864068760882	18.918837675350705
 11294.560891822915	19.119038076152307
 11283.156978765737	19.319238476953913
 11271.652634934855	19.519438877755515
 11260.048167100615	19.719639278557118
 11248.343883454518	19.91983967935872
 11236.540091334495	20.120040080160326
 11224.637096937477	20.320240480961928
 11212.635209882597	20.52044088176353
 11200.534743483153	20.720641282565133
 11188.336012436679	20.92084168336674
 11176.039332816792	21.12104208416834
 11163.64502206439	21.321242484969943
 11151.153398978238	21.521442885771545
 11138.564783449614	21.72164328657315
 11125.879491955431	21.921843687374754
 11113.09784232221	22.122044088176356
 11100.220158208296	22.322244488977958
 11087.246764569665	22.522444889779564
 11074.177987647496	22.722645290581166
 11061.01415495531	22.92284569138277
 11047.75559526571	23.123046092184374
 11034.402638596706	23.323246492985977
 11020.955616197694	23.52344689378758
 11007.4148558008	23.72364729458918
 10993.780685629672	23.923847695390787
 10980.053439615012	24.12404809619239
 10966.233453353856	24.32424849699399
 10952.321063595764	24.524448897795594
 10938.316608226995	24.7246492985972
 10924.220426254416	24.924849699398802
 10910.032857789169	25.125050100200404
 10895.7542440301	25.325250501002007
 10881.384927246983	25.525450901803612
 10866.925245387496	25.725651302605215
 10852.375537144546	25.925851703406817
 10837.736147411073	26.126052104208423
 10823.007422176644	26.326252505010025
 10808.189708412297	26.526452905811627
 10793.283354052766	26.72665330661323
 10778.288707978556	26.926853707414836
 10763.206119997896	27.127054108216438
 10748.03594082856	27.32725450901804
 10732.778522079585	27.527454909819642
 10717.434214980147	27.727655310621248
 10702.003367159703	27.92785571142285
 10686.486328160114	28.128056112224453
 10670.883452617401	28.328256513026055
 10655.19509596412	28.52845691382766
 10639.421614410616	28.728657314629263
 10623.563364926233	28.928857715430865
 10607.620705220463	29.12905811623247
 10591.59399372405	29.329258517034074
 10575.483589570053	29.529458917835676
 10559.289852574886	29.729659318637278
 10543.013143219317	29.929859719438884
 10526.651563037221	30.130060120240486
 10510.20189586913	30.33026052104209
 10493.663065258415	30.53046092184369
 10477.03519254507	30.730661322645297
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 5560.068500619999	70.37034068136273
 5527.5832893744655	70.57054108216433
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 4063.367037265837	79.17915831663326
 4027.769508423686	79.37935871743487
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 3595.205155904929	81.78176352705411
 3558.7104029108796	81.98196392785572
 3522.147041265891	82.18216432865732
 3485.515128859204	82.38236472945893
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 3412.0458828230016	82.78276553106213
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 3338.30312594298	83.18316633266534
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 3264.2873177946217	83.58356713426853
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 3115.438378243557	84.38436873747496
 3078.056200111348	84.58456913827656
 3040.6061582774328	84.78476953907816
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 2965.5027099402882	85.18517034068137
 2927.849416420282	85.38537074148297
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 2738.569498704741	86.38637274549099
 2700.511209914036	86.5865731462926
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 2624.1927687800967	86.98697394789579
 2585.932727734064	87.1871743486974
 2547.6055470830493	87.387374749499
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 2393.626535559586	88.18817635270541
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 2082.4625753746736	89.78977955911824
 2043.267591173604	89.98997995991985
 2004.0062352776124	90.19018036072144
 1964.6785618877702	90.39038076152305
 1925.2846251202113	90.59058116232465
 1885.824479006426	90.79078156312626
 1846.2981774935668	90.99098196392787
 1806.7057744447532	91.19118236472946
 1767.0473236393586	91.39138276553106
 1727.322878773325	91.59158316633267
 1687.5324934594476	91.79178356713427
 1647.6762212276694	91.99198396793588
 1607.7541155253748	92.19218436873749
 1567.7662297176812	92.39238476953908
 1527.712617087716	92.59258517034068
 1487.593330836919	92.79278557114229
 1447.4084240853167	92.9929859719439
 1407.1579498718065	93.1931863727455
 1366.8419600001707	93.39338677354709
 1326.4605050402083	93.5935871743487
 1286.0136366293173	93.7937875751503
 1245.501407471903	93.99398797595191
 1204.9238701926479	94.19418837675352
 1164.2810773367846	94.39438877755512
 1123.5730813703683	94.59458917835671
 1082.7999346805339	94.79478957915832
 1041.9616895757808	94.99498997995993
 1001.0583982862274	95.19519038076153
 960.0901129638768	95.39539078156314
 919.0568856828825	95.59559118236473
 877.9587684397974	95.79579158316633
 836.7958131538503	95.99599198396794
 795.5680716671917	96.19619238476955
 754.2755957451527	96.39639278557115
 712.9184370764995	96.59659318637276
 671.4966472736891	96.79679358717435
 630.010277873109	96.99699398797596
 588.4593803353448	97.19719438877756
 546.8440060454168	97.39739478957917
 505.16420631302947	97.59759519038077
 463.42003237282046	97.79779559118236
 421.61153538459234	97.99799599198397
 379.738766433573	98.19819639278558
 337.80177653064504	98.39839679358718
 295.8006166125883	98.59859719438879
 253.7353375423214	98.79879759519038
 211.6059901091263	98.99899799599199
 169.41262502890226	99.19919839679359
 127.15529294438761	99.3993987975952
 84.83404442539577	99.5995991983968
 42.4489299690467	99.79979959919841
 -0.0	100.0
--- a/ELoss/HeLoss/E_vs_x_deuterium.dat
+++ b/ELoss/HeLoss/E_vs_x_deuterium.dat
--- a/ELoss/HeLoss/E_vs_x_deuteron.dat
+++ b/ELoss/HeLoss/E_vs_x_deuteron.dat
@ -0,0 +1,501 @@
 Distance_cm	Energy_MeV
 415.12027017063957	0.1
 414.9745497743671	0.10981963927855712
 414.82926800812766	0.11963927855711423
 414.6838815279147	0.12945891783567134
 414.53793446410515	0.13927855711422846
 414.3910392082459	0.14909819639278557
 414.24286262701526	0.1589178356713427
 414.09311591452206	0.16873747494989982
 413.9415469525039	0.17855711422845694
 413.7879344412185	0.18837675350701405
 413.63208330703776	0.19819639278557116
 413.473821047838	0.20801603206412828
 413.3129947788348	0.2178356713426854
 413.14946880960855	0.2276553106212425
 412.9831226296827	0.23747494989979961
 412.81384921253454	0.24729458917835673
 412.6415535709642	0.25711422845691384
 412.466151513335	0.26693386773547095
 412.287568562277	0.27675350701402807
 412.10573900635603	0.2865731462925852
 411.92060506183765	0.2963927855711423
 411.732116126658	0.3062124248496994
 411.5402281124841	0.3160320641282565
 411.34490284361993	0.32585170340681363
 411.14610751372254	0.3356713426853708
 410.9438141929932	0.3454909819639279
 410.7379993798316	0.355310621242485
 410.5286435919723	0.36513026052104214
 410.3157309929328	0.37494989979959925
 410.0992490502412	0.38476953907815636
 409.87918822242113	0.3945891783567135
 409.6555416721174	0.4044088176352706
 409.42830500307554	0.4142284569138277
 409.19747601895557	0.4240480961923848
 408.9630545021806	0.43386773547094193
 408.72504201120523	0.44368737474949904
 408.48344169474194	0.45350701402805615
 408.23825812161687	0.46332665330661327
 407.98949712503855	0.4731462925851704
 407.7371656601643	0.4829659318637275
 407.48127167393517	0.4927855711422846
 407.2218239862306	0.5026052104208417
 406.95883218146383	0.5124248496993988
 406.69230650980336	0.522244488977956
 406.42225779726664	0.5320641282565131
 406.1486973639843	0.5418837675350702
 405.87163694998566	0.5517034068136273
 405.5910886479022	0.5615230460921844
 405.30706484202943	0.5713426853707415
 405.01957815322845	0.5811623246492986
 404.72864138918646	0.5909819639278557
 404.4342674995914	0.6008016032064128
 404.13646953580826	0.61062124248497
 403.83526061467654	0.6204408817635271
 403.5306538860765	0.6302605210420842
 403.22266250393994	0.6400801603206413
 402.91129960040513	0.6498997995991984
 402.59657826283996	0.6597194388777555
 402.27851151347903	0.6695390781563126
 401.95711229144047	0.6793587174348698
 401.6323934369073	0.6891783567134269
 401.30436767727576	0.698997995991984
 400.97304761508883	0.7088176352705411
 400.63844571758915	0.7186372745490982
 400.3005743077377	0.7284569138276553
 399.9594455565597	0.7382765531062124
 399.6150714766888	0.7480961923847695
 399.26746391699345	0.7579158316633267
 398.91663455817763	0.7677354709418838
 398.56259490925936	0.7775551102204409
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 14.415531909901079	4.901803607214429
 12.984541644846235	4.911623246492986
 11.551202830616717	4.921442885771543
 10.1155159314843	4.9312625250501
 8.677481410479157	4.941082164328657
 7.2370997293969515	4.9509018036072145
 5.794371348804583	4.960721442885771
 4.349296728045881	4.9705410821643286
 2.9018763252484305	4.980360721442886
 1.4521105973291792	4.9901803607214426
 -0.0	5.0
--- a/ELoss/HeLoss/E_vs_x_proton.dat
+++ b/ELoss/HeLoss/E_vs_x_proton.dat
@ -0,0 +1,501 @@
 Distance_cm	Energy_MeV
 97453.31750051567	0.1
 97449.91050165569	0.30020040080160326
 97445.33801715527	0.5004008016032064
 97439.31685598179	0.7006012024048097
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 97362.38728340289	2.1020040080160323
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 97294.13165848835	2.9028056112224454
 97274.46170977002	3.1030060120240486
 97253.76682293994	3.3032064128256517
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 97185.60175719918	3.9038076152304613
 97160.87357319005	4.104008016032064
 97135.15118203398	4.304208416833667
 97108.43946125945	4.50440881763527
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 97022.41274178887	5.105010020040081
 96991.78688409664	5.305210420841684
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 96927.63196226943	5.70561122244489
 96894.10967723644	5.9058116232464934
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 96787.80105202956	6.506412825651303
 96750.46057789579	6.706613226452906
 96712.17251000495	6.906813627254509
 96672.93941513002	7.1070140280561125
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 96506.60491670566	7.907815631262525
 96462.68208253375	8.108016032064128
 96417.82783288446	8.308216432865732
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 96325.33309070821	8.708617234468939
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 94498.71435405467	14.714629258517036
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 93020.32282016693	18.318236472945895
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 29794.821212570067	81.5815631262525
 29495.9800632824	81.78176352705411
 29196.575396258893	81.98196392785572
 28896.60768628456	82.18216432865732
 28596.077407330453	82.38236472945893
 28294.985032557008	82.58256513026052
 27993.331034317234	82.78276553106213
 27691.115884160106	82.98296593186373
 27388.340052833715	83.18316633266534
 27085.004010288503	83.38336673346694
 26781.108225680484	83.58356713426853
 26476.653167374316	83.78376753507014
 26171.639302946583	83.98396793587175
 25866.06709918884	84.18416833667335
 25559.93702211072	84.38436873747496
 25253.24953694303	84.58456913827656
 24946.00510814082	84.78476953907816
 24638.204199386346	84.98496993987976
 24329.847273592204	85.18517034068137
 24020.93479290425	85.38537074148297
 23711.467218704584	85.58557114228458
 23401.445011614538	85.78577154308617
 23090.868631497517	85.98597194388778
 22779.738531840892	86.18617234468938
 22468.055163554553	86.38637274549099
 22155.818982397814	86.5865731462926
 21843.030445186545	86.7867735470942
 21529.690007993224	86.98697394789579
 21215.798126149653	87.1871743486974
 20901.35525424989	87.387374749499
 20586.361846152944	87.58757515030061
 20270.818354985546	87.78777555110221
 19954.725233144916	87.9879759519038
 19638.082932301397	88.18817635270541
 19320.891903401287	88.38837675350702
 19003.152596669443	88.58857715430862
 18684.865461611964	88.78877755511023
 18366.030947018866	88.98897795591182
 18046.64950096663	89.18917835671343
 17726.721570820933	89.38937875751503
 17406.24760323919	89.58957915831664
 17085.228044173116	89.78977955911824
 16763.663338871327	89.98997995991985
 16441.55393188189	90.19018036072144
 16118.900267054756	90.39038076152305
 15795.702787544433	90.59058116232465
 15471.961935812378	90.79078156312626
 15147.678153629504	90.99098196392787
 14822.851882078668	91.19118236472946
 14497.483561557034	91.39138276553106
 14171.57363177864	91.59158316633267
 13845.122531776726	91.79178356713427
 13518.130699906162	91.99198396793588
 13190.598573845835	92.19218436873749
 12862.526590601045	92.39238476953908
 12533.91518650577	92.59258517034068
 12204.764797225149	92.79278557114229
 11875.075857757713	92.9929859719439
 11544.848802437731	93.1931863727455
 11214.084061304686	93.39338677354709
 10882.782060108175	93.5935871743487
 10550.943227553173	93.7937875751503
 10218.567995299509	93.99398797595191
 9885.656794354163	94.19418837675352
 9552.21005507349	94.39438877755512
 9218.22820716546	94.59458917835671
 8883.711679691762	94.79478957915832
 8548.660901070132	94.99498997995993
 8213.07629907644	95.19519038076153
 7876.958300846869	95.39539078156314
 7540.307332880089	95.59559118236473
 7203.123821039293	95.79579158316633
 6865.4081905544635	95.99599198396794
 6527.160866024388	96.19619238476955
 6188.382271418776	96.39639278557115
 5849.072830080345	96.59659318637276
 5509.2329647269125	96.79679358717435
 5168.863097453363	96.99699398797596
 4827.963649733833	97.19719438877756
 4486.535042423657	97.39739478957917
 4144.577695761404	97.59759519038077
 3802.09202937092	97.79779559118236
 3459.078462263223	97.99799599198397
 3115.5374128386397	98.19819639278558
 2771.469298888681	98.39839679358718
 2426.874537598029	98.59859719438879
 2081.7535455465145	98.79879759519038
 1736.1067387109595	98.99899799599199
 1389.934532467251	99.19919839679359
 1043.237341592163	99.3993987975952
 696.0155802652857	99.5995991983968
 348.2696620709229	99.79979959919841
 -0.0	100.0
--- a/ELoss/PCEnergyAnalysis.py
+++ b/ELoss/PCEnergyAnalysis.py
@ -61,14 +61,10 @@ yellow_jet = LinearSegmentedColormap.from_list(
    colors
 )
 #data = [z, mass_u, maximum MeV, name]
-alpha_data = [2, 4.0026, 40, "alpha"]
+alpha_data = [2, 4.0015, 40, "alpha"]
-proton_data = [1, 1.0078, 20, "proton"]
+proton_data = [1, 1.0073, 20, "proton"]
 deuteron_data = [1, 2.014102, 30, "deuteron"]
 dA = 3.2 #cm
 dC = 4.2 #cm
 dsx3 = 8.8 #cm
 particles = {
    "alpha": alpha_data,
    "proton": proton_data,
@ -77,86 +73,95 @@ particles = {
 interp_cache = {}
 def make_E_vs_x(z, mass_u, emax_mev, label, npoints, P_TORR, TEMP_K):
    # GAS SETUP
    R = 8.3144
    P_TORR = P_TORR
    TEMP_K = TEMP_K
-    # Gas density
+def make_E_vs_x(
    z,
    mass_u,
    emax_mev,
    medium,
    label,
    npoints,
    P_TORR,
    TEMP_K
 ):
    """
    Builds energy vs depth table using Catima stopping powers.
    Output:
        x [cm], E [MeV]
    """
    # ---------------------------
    # Physical constants
    # ---------------------------
    R = 8.3144  # J/mol/K
    # pressure conversion
    p_pa = P_TORR * 133.322
-    molar_density = p_pa / (R * TEMP_K)
+    molar_density = p_pa / (R * TEMP_K)  # mol/m^3
-    m_he = 4.0026
+    # ---------------------------
-    m_c  = 12.0000
+    # Medium definition
-    m_o  = 15.9949
+    # ---------------------------
    if medium == "He":
-    m_mix_avg = (0.96 * m_he) + (0.04 * (m_c + 2*m_o))
+        m_he = 4.0026
        m_c = 12.0000
        m_o = 15.9949
-    rho_g_cm3 = (molar_density * m_mix_avg) / 1e6
+        # FIX: do NOT double count oxygen
        material_def = [
            (m_he, 2, 0.96),
            ((m_c + 2 * m_o), 18, 0.04)  # CO2 lumped correctly
        ]
-    print(f"Gas density = {rho_g_cm3:.6e} g/cm^3")
+        #m_mix_avg = 0.96 * m_he + 0.04 * (m_c + 2 * m_o)
        m_mix_avg = m_he
-    # MATERIAL
+        #rho_g_cm3 = (molar_density * m_mix_avg) / 1e6
-    material_def = [
+        if z == 2:
-        (m_he, 2, 0.96),
+            rho_g_cm3 = 0.00017
-        (m_c,  6, 0.04),
+            #rho_g_cm3 = 8.2928e-5
-        (m_o,  8, 0.08)
+        if z == 1:
-    ]
+            rho_g_cm3 = 8.2928e-5
-    gas_mix = catima.Material(material_def)
+        gas = catima.Material(material_def)
-    gas_mix.density(rho_g_cm3)
+        gas.density(rho_g_cm3)
    elif medium == "Si":
        m_si = 28.084
        rho_g_cm3 = 2.33
        gas = catima.Material([(m_si, 14, 1.0)])
        gas.density(rho_g_cm3)
    else:
        raise ValueError("Unsupported medium")
    print(f"[INFO] density = {rho_g_cm3:.3e} g/cm^3")
    projectile = catima.Projectile(mass_u, z)
-
+    E = np.linspace(0.1, emax_mev, npoints)
    # Energy grid
    E = np.linspace(0.01, emax_mev, npoints)
    # Stopping power array
    S_mass = np.zeros_like(E)
    for i, energy in enumerate(E):
        projectile.T(energy)
        S_mass[i] = catima.dedx(projectile, gas)  # MeV/(g/cm^2)
-        projectile.T(energy / mass_u)
+    # convert to MeV/cm
        # MeV / (g/cm^2)
        S_mass[i] = catima.dedx(projectile, gas_mix)
    # Convert to MeV/cm
    S_linear = S_mass * rho_g_cm3
-
+    invS = 1.0 / np.clip(S_linear, 1e-30, None)
-    # Sort descending energy
+    x = cumulative_trapezoid(invS[::-1], E[::-1], initial=0)
-    sort_idx = np.argsort(E)[::-1]
+    x = x[::-1]
    E = E[sort_idx]
    S_linear = S_linear[sort_idx]
    # Integrate dx/dE = 1/S(E)
    invS = 1.0 / S_linear
    x = cumulative_trapezoid(
        invS,
        E,
        initial=0
    )
    x = -x
-
+    df = pd.DataFrame({
    # Output table
    output = pd.DataFrame({
        "Distance_cm": x,
        "Energy_MeV": E
    })
-    outfile = f"E_vs_x_{label}.dat"
+    outfile = f"{medium}Loss/E_vs_x_{label}.dat"
    df.to_csv(outfile, sep="\t", index=False)
-    output.to_csv(
+    print(f"[INFO] saved: {outfile}")
        outfile,
        sep='\t',
        index=False
    )
    print(f"Saved: {outfile}")
    return x, E
@ -183,12 +188,12 @@ def load_table(filename):
    return x, E
-def get_interpolators(particle):
+def get_interpolators(particle, medium):
    if particle in interp_cache:
        return interp_cache[particle]
-    filename = f"E_vs_x_{particle}.dat"
+    filename = f"{medium}Loss/E_vs_x_{particle}.dat"
    x, E = load_table(filename)
@ -210,21 +215,25 @@ def get_interpolators(particle):
    return E_of_x, x_of_E
-def energy_loss(particle, Ei, dl):
+def energy_loss(particle, medium, Ei, dl):
-    E_of_x, x_of_E = get_interpolators(particle)
+    E_of_x, x_of_E = get_interpolators(particle, medium)
    xi = x_of_E(Ei)
    xf = xi + dl
    xmax = E_of_x.x.max()  # maximum tabulated range
    Ef = E_of_x(xf)
    Ef = np.where(xf >= xmax, 0.0, Ef)
    return np.maximum(Ef, 0.0)
-def energy_reconstruction(particle, Ef, dl):
+def energy_reconstruction(particle, medium, Ef, dl):
-    E_of_x, x_of_E = get_interpolators(particle)
+    E_of_x, x_of_E = get_interpolators(particle, medium)
    xf = x_of_E(Ef)
@ -234,13 +243,13 @@ def energy_reconstruction(particle, Ef, dl):
    return np.maximum(Ei, 0.0)
-def energy_distance(particle, Ei, Ef):
+def energy_distance(particle, medium, Ei, Ef):
-    _, x_of_E = get_interpolators(particle)
+    _, x_of_E = get_interpolators(particle, medium)
    xi = x_of_E(Ei)
-    xf = x_of_E(Ef) * .686
+    xf = x_of_E(Ef)
    return np.abs(xf - xi)
@ -352,6 +361,7 @@ def prepare_tree_data(tree, treename, particle, max_events=None, z_max=34.86):
    radii = np.array([3.7, 4.3])
    dA = (radii[0] - np.sqrt((vXsx3/10)**2 + (vYsx3/10)**2))/ sin_theta
    dC = (radii[1] - np.sqrt((vXsx3/10)**2 + (vYsx3/10)**2))/ sin_theta
    lsx3 = (0.1 / sin_theta) * 10
    # Filter out unphysical distances (negative or unreasonably small)
    # These typically occur at large angles where trajectory doesn't properly intersect proportional counters
@ -372,10 +382,13 @@ def prepare_tree_data(tree, treename, particle, max_events=None, z_max=34.86):
    print(f"Computing energies for {particle} ({treename})...")
    #print(f"  Retained {np.sum(distance_mask)} / {len(distance_mask)} events after distance filter")
-    EA = energy_loss(particle, Eisx3, dA)
+    EA = energy_loss(particle, "He", Eisx3, dA)
-    EC = energy_loss(particle, Eisx3, dC)
+    EC = energy_loss(particle, "He", Eisx3, dC)
-    Esx3 = energy_loss(particle, Eisx3, dsx3)
+    Esx3 = energy_loss(particle, "He", Eisx3, dsx3)
-    Eqqq = energy_loss(particle, Eiqqq, dqqq)
+    Eqqq = energy_loss(particle, "He", Eiqqq, dqqq)
    Efinal = energy_loss(particle, "Si", Esx3, lsx3)
    Edet = np.where(Efinal <= 0, Esx3, Esx3 - Efinal)
    Elost = Eisx3 - Esx3
    Elostqqq = Eiqqq - Eqqq
@ -400,7 +413,8 @@ def prepare_tree_data(tree, treename, particle, max_events=None, z_max=34.86):
        "qqqX": qqqX,
        "qqqY": qqqY,
        "qqqZ": qqqZ,
-        "Eqqq": Eqqq
+        "Eqqq": Eqqq,
        "Edet": Edet
    }
 def process_file(filename, treename, particle=None, max_events=None):
@ -412,6 +426,8 @@ def process_file(filename, treename, particle=None, max_events=None):
            particle = "proton"
        elif "alpha" in lower:
            particle = "alpha"
        elif "deuteron" in lower:
            particle = "deuteron"
        else:
            particle = "proton"
    print(f"File {filename} particle {particle}, tree {treename}")
@ -595,6 +611,11 @@ class MyInteractiveApp(cmd.Cmd):
            else:
                emax_mev = None
            if len(args) > 2:
                medium = args[2]
            else:
                medium = "He"
            z, mass_u, default_emax, label = resolve_particle(name)
            if emax_mev is None:
@ -604,6 +625,7 @@ class MyInteractiveApp(cmd.Cmd):
                z,
                mass_u,
                emax_mev,
                medium,
                label,
                self.buckets,
                self.P,
@ -615,7 +637,7 @@ class MyInteractiveApp(cmd.Cmd):
            plt.xlabel("Distance (cm)")
            plt.ylabel("Energy (MeV)")
-            plt.title(f"Energy Loss Curve {label.capitalize()}")
+            plt.title(f"Energy Loss Curve {label.capitalize()} {medium}")
            plt.grid(True)
            textstr = f"T = {self.T:.2f} K\nP = {self.P:.2f} Torr"
@ -629,7 +651,7 @@ class MyInteractiveApp(cmd.Cmd):
            )
            plt.tight_layout()
-            filename = f"Energy_Loss_Curve_{label}.png"
+            filename = f"{medium}Loss/Energy_Loss_Curve_{label}.png"
            plt.savefig(filename, dpi=300, bbox_inches="tight")
            plt.show()
@ -647,33 +669,36 @@ class MyInteractiveApp(cmd.Cmd):
    def do_energy_loss(self, arg):
        """Find a final energy given an initial energy and distance travelled
-        Ex: >> energy loss <particle> <initial energy MeV> <distance travelled cm>"""
+        Ex: >> energy loss <particle> <medium> <initial energy MeV> <distance travelled cm>"""
        args = shlex.split(arg)
        try:
            particle = args[0]
-            Ei = float(args[1])
+            medium = args[1]
-            dl = float(args[2])
+            Ei = float(args[2])
            dl = float(args[3])
            Ei_offset = Ei * 1.1
            table_specs = f"{particle} {Ei_offset}"
            try:
                self.do_make_table(table_specs)
-                Ef = energy_loss(particle, Ei, dl)
+                Ef = energy_loss(particle, medium, Ei, dl)
                print(f"\nFinal energy: {Ef:.6f} MeV\n")
            except:
                return
        except IndexError:
            print("Please input particle, initial energy, and distance travelled")
    def do_energy_reconstruction(self, arg):
        """Find a vertex energy given an final energy and distance travelled
-        Ex: >> energy reconstruction <particle> <final energy MeV> <distance travelled cm>"""
+        Ex: >> energy reconstruction <particle> <medium> <final energy MeV> <distance travelled cm>"""
        args = shlex.split(arg)
        try:
            particle = args[0]
-            Ef = float(args[1])
+            medium = args[1]
-            dl = float(args[2])
+            Ef = float(args[2])
            dl = float(args[3])
            try:
-                Ei = energy_reconstruction(particle, Ef, dl)
+                Ei = energy_reconstruction(particle, medium, Ef, dl)
                if Ei > 0:
                    print(f"\nInitial energy: {Ei:.6f} MeV\n")
                else:
@ -685,18 +710,20 @@ class MyInteractiveApp(cmd.Cmd):
    def do_energy_distance(self, arg):
        """Find a distance travelled given an initial and final energy
-        Ex: >> energy distance <particle> <initial energy> <final energy MeV>"""
+        Ex: >> energy distance <particle> <medium> <initial energy> <final energy MeV>"""
        args = shlex.split(arg)
        try:
            particle = args[0]
-            Ei = float(args[1])
+            medium = args[1]
-            Ef = float(args[2])
+            Ei = float(args[2])
            Ef = float(args[3])
            dE = Ei - Ef
            try:
-                dl = energy_distance(particle, Ei, Ef)
+                dl = energy_distance(particle, medium, Ei, Ef)
                if dl > 0:
                    print(f"\nChange in energy: {dE:.6f} MeV")
                    print(f"Distance travelled: {dl:.6f} cm\n")
                    print(f"{(dl * 10000):.6f} microns")
                else:
                    print("Error: remake table with larger value, fallen off map")
            except:
@ -900,11 +927,11 @@ class MyInteractiveApp(cmd.Cmd):
        print("Calculating energy losses...")
        global EA
-        EA = energy_loss(particle, Ei, dA)
+        EA = energy_loss(particle, "He", Ei, dA)
        global EC
-        EC = energy_loss(particle, Ei, dC)
+        EC = energy_loss(particle, "He", Ei, dC)
        global Esx3
-        Esx3 = energy_loss(particle, Ei, dsx3)
+        Esx3 = energy_loss(particle, "He", Ei, dsx3)
        global Eprop
        Eprop = EA - EC
        global Elost
@ -1002,6 +1029,7 @@ class MyInteractiveApp(cmd.Cmd):
        qqqZ = data["qqqZ"]
        qqqE = data["Eqqq"]
        Elostqqq = data["Elostqqq"]
        Edet = data["Edet"]
        update_plot_data(f"{particle}_{treename}_Ei", Ei)
        update_plot_data(f"{particle}_{treename}_sx3Z", sx3Z)
@ -1010,6 +1038,7 @@ class MyInteractiveApp(cmd.Cmd):
        update_plot_data(f"{particle}_{treename}_Esx3", Esx3)
        update_plot_data(f"{particle}_{treename}_Elost", Elost)
        update_plot_data(f"{particle}_{treename}_Eprop", Eprop)
        update_plot_data(f"{particle}_treename_Edert", Edet)
        base = f"{particle}_{treename}_plots"
        os.makedirs(base, exist_ok=True)
@ -1078,9 +1107,6 @@ class MyInteractiveApp(cmd.Cmd):
            plt.savefig(out_file, dpi=300)
            plt.show()
        else:
            print("No valid SX3 points for 3D plot.")
        mask1 = ~np.isnan(Ei) & ~np.isnan(thetab)
        plt.figure(figsize=(7,6))
        plt.hist2d(thetab[mask1], Ei[mask1], bins=200)
@ -1107,6 +1133,7 @@ class MyInteractiveApp(cmd.Cmd):
        plt.savefig(f"{base}/Eqqq_vs_Elostxsintheta.png", dpi=300)
        plt.show()
        mask1 = (Esx3 > 0) & ~np.isnan(thetab)
        plt.figure(figsize=(7,6))
        plt.hist2d(thetab[mask1], Esx3[mask1], bins=200)
@ -1143,6 +1170,16 @@ class MyInteractiveApp(cmd.Cmd):
        plt.savefig(f"{base}/Elost_hist.png", dpi=300)
        plt.show()
        plt.figure(figsize=(7,5))
        plt.hist(Edet, bins=200)
        plt.xlabel("Energy Deposition (MeV)")
        plt.ylabel("Counts")
        plt.title(f"{particle} ({treename}) TEnergy Deposition in SX3 (MeV)")
        plt.grid(True)
        plt.tight_layout()
        plt.savefig(f"{base}/Edet_hist.png", dpi=300)
        plt.show()
        plt.figure(figsize=(7,5))
        plt.hist(Ei, bins=100, histtype='step', label='Vertex Energy')
        plt.hist(Esx3[Esx3 != 0], bins=100, histtype='step', label='SX3 Energy')
@ -1224,6 +1261,23 @@ class MyInteractiveApp(cmd.Cmd):
        except ValueError:
            print("Value error")
        try:
            mask1 = ~np.isnan(Edet) & (Edet > 0)
            plt.figure(figsize=(7,6))
            plt.hist2d(Edet[mask1], Eprop[mask1] * data["thetab"][mask1], bins=200)
            plt.ylabel("PCEnergy")
            plt.xlabel("SX3 Energy Detected (MeV)")
            plt.title(f"{particle} ({treename}) Energy Propagation Difference vs SX3 Energy Detected")
            plt.colorbar(label="Counts")
            #plt.xlim(0,30)
            #plt.ylim(0,0.45)
            plt.tight_layout()
            plt.savefig(f"{base}/Eprop_vs_Edet.png", dpi=300)
            plt.show()
        except ValueError:
            print("Value error")
        #try:
        #except ValueError:
@ -1413,10 +1467,6 @@ class MyInteractiveApp(cmd.Cmd):
            print("No valid datasets loaded.")
            return
        # --------------------------------------------------
        # Elost overlay
        # --------------------------------------------------
        plt.figure(figsize=(8, 6))
        for data in datasets:
@ -1443,10 +1493,6 @@ class MyInteractiveApp(cmd.Cmd):
        plt.show()
        # --------------------------------------------------
        # SX3 position overlay
        # --------------------------------------------------
        plt.figure(figsize=(8, 6))
        for data in datasets:
@ -1473,10 +1519,6 @@ class MyInteractiveApp(cmd.Cmd):
        plt.show()
        # --------------------------------------------------
        # Individual Elost vs SX3 plots
        # --------------------------------------------------
        n = len(datasets)
        fig, axes = plt.subplots(
@ -1518,10 +1560,6 @@ class MyInteractiveApp(cmd.Cmd):
        plt.show()
        # --------------------------------------------------
        # EA vs Esx3 overlay scatter
        # --------------------------------------------------
        plt.figure(figsize=(8, 6))
        for data in datasets:
@ -1548,12 +1586,9 @@ class MyInteractiveApp(cmd.Cmd):
        plt.show()
        # --------------------------------------------------
        # Combined PCE vs SX3
        # --------------------------------------------------
        all_Esx3 = []
        all_Eprop = []
        all_Edet =  []
        for data in datasets:
@ -1573,43 +1608,60 @@ class MyInteractiveApp(cmd.Cmd):
                * 3
            )
            all_Edet.append(
                data["Edet"][mask]
                * np.sin(thetab))
        combined_Esx3 = np.concatenate(all_Esx3)
        combined_Eprop = np.concatenate(all_Eprop)
-    
+        combined_Edet = np.concatenate(all_Edet)
        combined_Esx3 += np.random.normal(
            0,
            0.08,
            len(combined_Esx3)
        )
        mask = (
            np.isfinite(combined_Esx3)
            &
            np.isfinite(combined_Eprop)
            &
            np.isfinite(combined_Edet)
        )
        combined_Esx3 = combined_Esx3[mask]
        combined_Eprop = combined_Eprop[mask]
        combined_Edet = combined_Edet[mask]
        plt.figure(figsize=(8, 6))
        plt.hist2d(
            combined_Esx3,
            combined_Eprop,
            bins=200
        )
        plt.xlabel("SX3 Energy (MeV)")
        plt.ylabel("PCEnergy x Sin(theta)")
        plt.colorbar(label="Counts")
        plt.tight_layout()
        plt.savefig(
            f"{outdir}/Eprop_vs_Esx3.png",
            dpi=300
        )
        plt.show()
        plt.figure(figsize=(8, 6))
        plt.hist2d(
            combined_Edet,
            combined_Eprop,
            bins=200
        )
        plt.xlabel("SX3 Energy Deposition (MeV)")
        plt.ylabel("PCEnergy x Sin(theta)")
        plt.colorbar(label="Counts")
        plt.tight_layout()
        plt.savefig(
            f"{outdir}/Eprop_vs_Edet.png",
            dpi=300
        )
        plt.show()
        plt.figure(
@ -1627,6 +1679,7 @@ class MyInteractiveApp(cmd.Cmd):
        plt.xlabel("SX3 Energy (MeV)")
        plt.ylabel("PCEnergy x Sin(theta)")
        #plt.yscale("log")
        cbar = plt.colorbar()
        cbar.set_label("Counts")
--- a/ELoss/SiLoss/E_vs_x_alpha.dat
+++ b/ELoss/SiLoss/E_vs_x_alpha.dat
@ -0,0 +1,501 @@
 Distance_cm	Energy_MeV
 0.0052592906193615965	0.1
 0.005256548760366959	0.10981963927855712
 0.005253813942426374	0.11963927855711423
 0.005251076075550516	0.12945891783567134
 0.005248327436122693	0.13927855711422846
 0.005245562072251752	0.14909819639278557
 0.005242775375898601	0.1589178356713427
 0.005239963768008947	0.16873747494989982
 0.0052371244627769575	0.17855711422845694
 0.0052342552888350775	0.18837675350701405
 0.005231354552299548	0.19819639278557116
 0.005228420931128786	0.20801603206412828
 0.005225453393225606	0.2178356713426854
 0.005222451132730192	0.2276553106212425
 0.00521941352035695	0.23747494989979961
 0.005216340064634455	0.24729458917835673
 0.005213230381643349	0.25711422845691384
 0.005210084171394999	0.26693386773547095
 0.0052069011994078035	0.27675350701402807
 0.005203681282354828	0.2865731462925852
 0.0052004242769009	0.2963927855711423
 0.005197130071037272	0.3062124248496994
 0.005193798577370305	0.3160320641282565
 0.005190429727936938	0.32585170340681363
 0.005187023470211062	0.3356713426853708
 0.005183579764036811	0.3454909819639279
 0.005180098579281475	0.355310621242485
 0.005176579894045341	0.36513026052104214
 0.005173023693301013	0.37494989979959925
 0.005169429967862482	0.38476953907815636
 0.005165798713606087	0.3945891783567135
 0.005162129930882717	0.4044088176352706
 0.005158423624074152	0.4142284569138277
 0.005154679801257077	0.4240480961923848
 0.005150898473946656	0.43386773547094193
 0.005147079656898115	0.44368737474949904
 0.00514322336794987	0.45350701402805615
 0.005139329627895782	0.46332665330661327
 0.005135398460377175	0.4731462925851704
 0.0051314298917877164	0.4829659318637275
 0.005127423951186091	0.4927855711422846
 0.005123380670212857	0.5026052104208417
 0.00511930008300895	0.5124248496993988
 0.005115182226134147	0.522244488977956
 0.00511102713848443	0.5320641282565131
 0.005106834861207642	0.5418837675350702
 0.0051026054376171835	0.5517034068136273
 0.00509833891310374	0.5615230460921844
 0.005094035335045194	0.5713426853707415
 0.005089694752714996	0.5811623246492986
 0.00508531721718935	0.5909819639278557
 0.005080902781253586	0.6008016032064128
 0.005076451499308135	0.61062124248497
 0.005071963427274492	0.6204408817635271
 0.005067438622501573	0.6302605210420842
 0.005062877143672814	0.6400801603206413
 0.005058279050714358	0.6498997995991984
 0.00505364440470464	0.6597194388777555
 0.005048973267785634	0.6695390781563126
 0.005044265703076013	0.6793587174348698
 0.005039521774586427	0.6891783567134269
 0.005034741547137075	0.698997995991984
 0.005029925086277724	0.7088176352705411
 0.0050250724582102954	0.7186372745490982
 0.005020183729714108	0.7284569138276553
 0.005015258968073855	0.7382765531062124
 0.005010298241010367	0.7480961923847695
 0.00500530161661418	0.7579158316633267
 0.005000269163281941	0.7677354709418838
 0.004995200949655631	0.7775551102204409
 0.004990097044564602	0.787374749498998
 0.004984957516970395	0.7971943887775551
 0.004979782435914307	0.8070140280561122
 0.004974571870467649	0.8168336673346693
 0.004969325889684659	0.8266533066132264
 0.004964044562557995	0.8364729458917836
 0.004958727957976745	0.8462925851703407
 0.004953376144686894	0.8561122244488978
 0.00494798919125416	0.8659318637274549
 0.004942567166029134	0.875751503006012
 0.004937110137114648	0.8855711422845691
 0.0049316181723352785	0.8953907815631262
 0.00492609133920892	0.9052104208416833
 0.004920529704920346	0.9150300601202405
 0.0049149333362966665	0.9248496993987976
 0.004909302299784622	0.9346693386773547
 0.00490363666142962	0.9444889779559118
 0.004897936486856439	0.9543086172344689
 0.004892201841251538	0.964128256513026
 0.004886432789346874	0.9739478957915831
 0.00488062939540518	0.9837675350701403
 0.0048747917232066125	0.9935871743486974
 0.0048689198360367105	1.0034068136272545
 0.0048630137966756	1.0132264529058117
 0.00485707366738837	1.0230460921843687
 0.004851099509916574	1.032865731462926
 0.004845091385470772	1.0426853707414832
 0.004839049354724087	1.0525050100200402
 0.004832973477806687	1.0623246492985974
 0.00482686381430117	1.0721442885771544
 0.004820720423238764	1.0819639278557116
 0.004814543363096337	1.0917835671342686
 0.004808332691794127	1.1016032064128258
 0.0048020884666941785	1.1114228456913828
 0.004795810744599414	1.12124248496994
 0.004789499581753336	1.131062124248497
 0.00478315503384027	1.1408817635270543
 0.004776777155986167	1.1507014028056113
 0.00477036600275988	1.1605210420841685
 0.004763921628174911	1.1703406813627255
 0.004757444085691586	1.1801603206412827
 0.004750933428219624	1.1899799599198397
 0.004744389708121076	1.199799599198397
 0.004737812977213606	1.209619238476954
 0.004731203286774083	1.2194388777555112
 0.0047245606875424605	1.2292585170340682
 0.004717885229725927	1.2390781563126254
 0.0047111769630032935	1.2488977955911824
 0.004704435936529599	1.2587174348697396
 0.00469766219894093	1.2685370741482966
 0.004690855798359406	1.2783567134268539
 0.004684016782398344	1.2881763527054109
 0.0046771451981675585	1.297995991983968
 0.004670241092278802	1.307815631262525
 0.004663304510851317	1.3176352705410823
 0.004656335499517493	1.3274549098196393
 0.004649334103428611	1.3372745490981965
 0.0046423003672606674	1.3470941883767535
 0.004635234335220262	1.3569138276553108
 0.004628136051050541	1.366733466933868
 0.00462100555803718	1.376553106212425
 0.00461384289901441	1.3863727454909822
 0.004606648116371062	1.3961923847695392
 0.004599421252056631	1.4060120240480964
 0.0045921623475873525	1.4158316633266534
 0.004584871444052275	1.4256513026052107
 0.0045775485821193335	1.4354709418837677
 0.004570193802041411	1.445290581162325
 0.004562807143662382	1.455110220440882
 0.004555388646423133	1.4649298597194391
 0.004547938349367564	1.4747494989979961
 0.004540456291148543	1.4845691382765533
 0.004532942510033841	1.4943887775551103
 0.0045253970439120186	1.5042084168336676
 0.0045178199302982665	1.5140280561122246
 0.004510211206340209	1.5238476953907818
 0.004502570908823647	1.5336673346693388
 0.004494899074178258	1.543486973947896
 0.004487195738483234	1.553306613226453
 0.004479460937472864	1.5631262525050102
 0.004471694706542063	1.5729458917835673
 0.004463897080751828	1.5827655310621245
 0.004456068094834644	1.5925851703406815
 0.004448207783199819	1.6024048096192387
 0.004440316179938754	1.6122244488977957
 0.004432393318830145	1.622044088176353
 0.004424439233345127	1.63186372745491
 0.004416453956652334	1.6416833667334672
 0.004408437521622904	1.6515030060120242
 0.004400389960835409	1.6613226452905814
 0.004392311306580712	1.6711422845691384
 0.00438420159086676	1.6809619238476956
 0.0043760608454233045	1.6907815631262526
 0.004367889101706547	1.7006012024048098
 0.004359686390903719	1.7104208416833668
 0.004351452743937591	1.720240480961924
 0.00434318819147091	1.730060120240481
 0.0043348927639107636	1.7398797595190383
 0.004326566491412882	1.7496993987975953
 0.0043182094038858605	1.7595190380761525
 0.004309821530995321	1.7693386773547095
 0.004301402902167999	1.7791583166332667
 0.004292953546595768	1.7889779559118237
 0.0042844734932395885	1.798797595190381
 0.004275962770833396	1.808617234468938
 0.004267421407887918	1.8184368737474952
 0.004258849432694431	1.8282565130260522
 0.00425024687332844	1.8380761523046094
 0.004241613757653309	1.8478957915831664
 0.004232950113323814	1.8577154308617236
 0.00422425596778964	1.8675350701402806
 0.0042155313482988115	1.8773547094188379
 0.004206776281901066	1.8871743486973949
 0.0041979907954511585	1.896993987975952
 0.004189174915612116	1.906813627254509
 0.0041803286688584206	1.9166332665330663
 0.0041714520814791455	1.9264529058116233
 0.004162545179581024	1.9362725450901805
 0.004153607989091466	1.9460921843687375
 0.004144640535761517	1.9559118236472948
 0.004135642845168764	1.9657314629258518
 0.00412661494272018	1.975551102204409
 0.004117556853654925	1.9853707414829662
 0.004108468603047083	1.9951903807615232
 0.004099350215808357	2.00501002004008
 0.004090201716690703	2.0148296593186372
 0.0040810231302889225	2.0246492985971947
 0.0040718144810432	2.0344689378757517
 0.004062575793241592	2.0442885771543087
 0.004053307091022471	2.0541082164328657
 0.0040440083983769165	2.063927855711423
 0.00403467973915107	2.07374749498998
 0.004025321137048432	2.083567134268537
 0.004015932615632119	2.093386773547094
 0.004006514198327083	2.1032064128256516
 0.00399706590842228	2.1130260521042086
 0.003987587769072796	2.1228456913827656
 0.003978079803301934	2.132665330661323
 0.003968542034003265	2.14248496993988
 0.003958974483942624	2.152304609218437
 0.003949377175760086	2.162124248496994
 0.003939750131971884	2.1719438877755515
 0.003930093374972305	2.1817635270541085
 0.003920406927035538	2.1915831663326655
 0.003910690810317491	2.2014028056112225
 0.0039009450468575685	2.21122244488978
 0.0038911696585804184	2.221042084168337
 0.003881364667297638	2.230861723446894
 0.0038715300947094523	2.240681362725451
 0.0038616659624063536	2.2505010020040084
 0.003851772291870715	2.2603206412825654
 0.0038418491044783635	2.2701402805611224
 0.00383189642150013	2.2799599198396794
 0.003821914264103362	2.289779559118237
 0.0038119026533534116	2.299599198396794
 0.0038018616102150882	2.309418837675351
 0.003791791155554088	2.319238476953908
 0.00378169131013839	2.3290581162324653
 0.0037715620946396295	2.3388777555110223
 0.0037614035296344383	2.3486973947895793
 0.0037512156356057625	2.3585170340681363
 0.0037409984329441525	2.3683366733466937
 0.0037307519419490284	2.3781563126252507
 0.0037204761828299178	2.3879759519038077
 0.0037101711757076715	2.3977955911823647
 0.003699836940615653	2.407615230460922
 0.0036894734975009076	2.417434869739479
 0.0036790808662253032	2.427254509018036
 0.0036686590665666527	2.437074148296593
 0.0036582081182198116	2.4468937875751506
 0.003647728040797757	2.4567134268537076
 0.0036372188538326394	2.4665330661322646
 0.003626680576776821	2.4763527054108216
 0.0036161132290038855	2.486172344689379
 0.0036055168298096373	2.495991983967936
 0.0035948913984130697	2.505811623246493
 0.003584236953957324	2.51563126252505
 0.003573553515510623	2.5254509018036075
 0.0035628411020671917	2.5352705410821645
 0.0035520997325481527	2.5450901803607215
 0.0035413294258024104	2.5549098196392785
 0.003530530200607514	2.564729458917836
 0.003519702075670507	2.574549098196393
 0.0035088450696287555	2.58436873747495
 0.003497959201050763	2.594188376753507
 0.0034870444884369687	2.6040080160320644
 0.0034761009502205327	2.6138276553106214
 0.0034651286047680994	2.6236472945891784
 0.0034541274703805518	2.633466933867736
 0.003443097565293751	2.643286573146293
 0.003432038907679257	2.65310621242485
 0.003420951515645038	2.662925851703407
 0.0034098354072361675	2.6727454909819643
 0.0033986906004355062	2.6825651302605213
 0.0033875171131643694	2.6923847695390783
 0.003376314963283184	2.7022044088176354
 0.003365084168592131	2.712024048096193
 0.003353824746831778	2.72184368737475
 0.0033425367156836947	2.731663326653307
 0.0033312200927710627	2.741482965931864
 0.0033198748956592694	2.7513026052104212
 0.003308501141856493	2.7611222444889783
 0.0032970988488142724	2.7709418837675353
 0.003285668033928072	2.7807615230460923
 0.00327420871453783	2.7905811623246497
 0.003262720907928503	2.8004008016032067
 0.0032512046313305904	2.8102204408817637
 0.0032396599019206603	2.8200400801603207
 0.003228086736821857	2.829859719438878
 0.0032164851531044027	2.839679358717435
 0.0032048551677860897	2.849498997995992
 0.003193196797832761	2.859318637274549
 0.003181510060158784	2.8691382765531066
 0.003169794971627518	2.8789579158316636
 0.003158051549051766	2.8887775551102206
 0.0031462798091942234	2.8985971943887776
 0.0031344797687679177	2.908416833667335
 0.0031226514444366404	2.918236472945892
 0.0031107948528153674	2.928056112224449
 0.0030989100104706767	2.937875751503006
 0.0030869969339211542	2.9476953907815635
 0.0030750556396377973	2.9575150300601205
 0.003063086144044404	2.9673346693386775
 0.0030510884635179614	2.9771543086172345
 0.0030390626143890227	2.986973947895792
 0.003027008612942083	2.996793587174349
 0.003014926475415939	3.006613226452906
 0.0030028162180040533	3.016432865731463
 0.002990677856854903	3.0262525050100204
 0.0029785114080723304	3.0360721442885774
 0.0029663168877158766	3.0458917835671344
 0.002954094311801122	3.0557114228456914
 0.00294184369630001	3.065531062124249
 0.002929565057141173	3.075350701402806
 0.0029172584102102467	3.085170340681363
 0.002904923771350182	3.09498997995992
 0.00289256115636155	3.1048096192384773
 0.0028801705810028474	3.1146292585170343
 0.002867752060990785	3.1244488977955913
 0.0028553056120005815	3.1342685370741483
 0.002842831249666251	3.1440881763527058
 0.0028303289895808804	3.1539078156312628
 0.0028177988472969065	3.1637274549098198
 0.0028052408383263876	3.1735470941883768
 0.0027926549781412684	3.183366733466934
 0.002780041282173646	3.193186372745491
 0.0027673997658160233	3.203006012024048
 0.0027547304444215655	3.2128256513026052
 0.0027420333333043477	3.2226452905811627
 0.0027293084477396034	3.2324649298597197
 0.002716555802963962	3.2422845691382767
 0.0027037754141756875	3.252104208416834
 0.002690967296534915	3.261923847695391
 0.002678131465163875	3.271743486973948
 0.0026652679351471253	3.281563126252505
 0.0026523767215317685	3.2913827655310626
 0.0026394578393276764	3.3012024048096196
 0.0026265113035077	3.3110220440881766
 0.0026135371290078864	3.3208416833667336
 0.002600535330727684	3.330661322645291
 0.0025875059235301525	3.340480961923848
 0.0025744489222421607	3.350300601202405
 0.002561364341654589	3.360120240480962
 0.0025482521965225252	3.3699398797595195
 0.002535112501565458	3.3797595190380765
 0.002521945271467467	3.3895791583166335
 0.0025087505208774103	3.3993987975951905
 0.00249552826440911	3.409218436873748
 0.0024822785166415356	3.419038076152305
 0.0024690012921189802	3.428857715430862
 0.0024556966053512403	3.438677354709419
 0.0024423644708137884	3.4484969939879764
 0.002429004902947947	3.4583166332665334
 0.002415617916161056	3.4681362725450904
 0.0024022035248266395	3.4779559118236474
 0.0023887617432845716	3.487775551102205
 0.0023752925858412394	3.497595190380762
 0.002361796066769701	3.507414829659319
 0.0023482722003098444	3.517234468937876
 0.0023347210006685426	3.5270541082164333
 0.0023211424820198095	3.5368737474949903
 0.0023075366585049487	3.5466933867735473
 0.002293903544232704	3.5565130260521043
 0.0022802431532794065	3.5663326653306617
 0.002266555499689122	3.5761523046092187
 0.002252840597473792	3.5859719438877757
 0.0022390984606133774	3.5957915831663327
 0.0022253291030559963	3.60561122244489
 0.0022115325387180667	3.615430861723447
 0.0021977087814844375	3.625250501002004
 0.0021838578452085264	3.635070140280561
 0.0021699797437124517	3.6448897795591186
 0.0021560744907871657	3.6547094188376756
 0.0021421421001925813	3.6645290581162326
 0.0021281825856577026	3.6743486973947896
 0.00211419596088075	3.684168336673347
 0.0021001822395292882	3.693987975951904
 0.002086141435240346	3.703807615230461
 0.002072073561620541	3.713627254509018
 0.002057978632246199	3.7234468937875755
 0.002043856660663477	3.7332665330661325
 0.002029707660388475	3.7430861723446895
 0.002015531644907358	3.7529058116232465
 0.002001328627676468	3.762725450901804
 0.0019870986221224417	3.772545090180361
 0.0019728416416423204	3.782364729458918
 0.001958557699603662	3.792184368737475
 0.0019442468093446516	3.8020040080160324
 0.0019299089841742134	3.8118236472945894
 0.0019155442373721143	3.8216432865731464
 0.0019011525821890738	3.8314629258517034
 0.0018867340318468682	3.841282565130261
 0.0018722885995384382	3.851102204408818
 0.001857816298427989	3.860921843687375
 0.0018433171416510942	3.8707414829659323
 0.0018287911423148003	3.8805611222444893
 0.0018142383134977225	3.8903807615230463
 0.0017996586682501473	3.9002004008016034
 0.0017850522195941299	3.910020040080161
 0.0017704189805235946	3.919839679358718
 0.0017557589640044278	3.929659318637275
 0.001741072182974576	3.939478957915832
 0.0017263586503441402	3.9492985971943892
 0.0017116183789954722	3.9591182364729463
 0.001696851381783264	3.9689378757515033
 0.0016820576715346426	3.9787575150300603
 0.0016672372610492614	3.9885771543086177
 0.0016523901630993926	3.9983967935871747
 0.0016375163904300133	4.008216432865732
 0.0016226159557588987	4.018036072144288
 0.0016076888717767063	4.027855711422846
 0.0015927351511470695	4.037675350701403
 0.0015777548065066818	4.04749498997996
 0.0015627478504653782	4.057314629258517
 0.00154771429560623	4.067134268537075
 0.0015326541544856249	4.076953907815631
 0.0015175674396333471	4.086773547094189
 0.0015024541635526715	4.096593186372745
 0.0014873143387204343	4.106412825651303
 0.0014721479775871274	4.116232464929859
 0.0014569550925769685	4.126052104208417
 0.0014417356960879917	4.135871743486974
 0.0014264898004921246	4.145691382765531
 0.0014112174181352632	4.155511022044088
 0.0013959185613373597	4.1653306613226455
 0.001380593242392498	4.175150300601202
 0.0013652414735689663	4.1849699398797595
 0.0013498632671093453	4.194789579158316
 0.001334458635230574	4.2046092184368735
 0.0013190275901240364	4.214428857715431
 0.0013035701439556323	4.2242484969939875
 0.0012880863088658501	4.234068136272545
 0.0012725760969698493	4.243887775551102
 0.0012570395203575309	4.253707414829659
 0.0012414765910936075	4.263527054108216
 0.001225887321217687	4.273346693386773
 0.0012102717227443337	4.28316633266533
 0.001194629807663152	4.292985971943888
 0.0011789615879388535	4.302805611222444
 0.0011632670755113246	4.312625250501002
 0.001147546282295707	4.322444889779559
 0.0011317992201824636	4.332264529058116
 0.001116025901037446	4.342084168336673
 0.0011002263367019727	4.35190380761523
 0.0010844005389928895	4.361723446893787
 0.0010685485197026476	4.371543086172345
 0.001052670290599368	4.381362725450901
 0.001036765863426907	4.391182364729459
 0.0010208352499049317	4.401002004008016
 0.0010048784617289843	4.410821643286573
 0.000988895510570545	4.42064128256513
 0.0009728864080771096	4.430460921843687
 0.0009568511658722434	4.440280561122244
 0.0009407897955556596	4.450100200400802
 0.0009247023087032793	4.459919839679358
 0.0009085887168672941	4.469739478957916
 0.0008924490315762398	4.479559118236473
 0.0008762832643350567	4.48937875751503
 0.0008600914266251507	4.499198396793587
 0.0008438735299044659	4.509018036072145
 0.0008276295856075447	4.518837675350701
 0.0008113596051455875	4.528657314629259
 0.0007950635999065256	4.538476953907815
 0.0007787415812550738	4.548296593186373
 0.0007623935605328027	4.55811623246493
 0.0007460195490581976	4.567935871743487
 0.0007296195581267161	4.577755511022044
 0.0007131935990108595	4.5875751503006015
 0.0006967416829602295	4.597394789579158
 0.000680263821201586	4.6072144288577155
 0.0006637600249389184	4.617034068136272
 0.0006472303053534951	4.6268537074148295
 0.0006306746736039344	4.636673346693387
 0.0006140931408262603	4.6464929859719435
 0.0005974857181339592	4.656312625250501
 0.0005808524166180481	4.666132264529058
 0.0005641932473471302	4.675951903807615
 0.00054750822136745	4.685771543086172
 0.000530797349702963	4.695591182364729
 0.0005140606433553829	4.705410821643286
 0.0004972981133042507	4.715230460921844
 0.00048050977050698927	4.7250501002004
 0.00046369562589895693	4.734869739478958
 0.0004468556903935147	4.744689378757515
 0.0004299899748820798	4.754509018036072
 0.00041309849023417886	4.764328657314629
 0.00039618124729751597	4.774148296593186
 0.00037923825689801794	4.783967935871743
 0.0003622695298399022	4.793787575150301
 0.0003452750769057288	4.803607214428857
 0.0003282549088564528	4.813426853707415
 0.00031120903643149005	4.823246492985972
 0.0002941374703487686	4.833066132264529
 0.00027704022130478037	4.842885771543086
 0.00025991729997464785	4.852705410821643
 0.0002427687170121675	4.8625250501002
 0.00022559448304987605	4.872344689378758
 0.0002083946086991013	4.882164328657314
 0.00019116910455001257	4.891983967935872
 0.00017391798117168496	4.901803607214429
 0.00015664124911214964	4.911623246492986
 0.00013933891889844366	4.921442885771543
 0.0001220110010366754	4.9312625250501
 0.00010465750601206631	4.941082164328657
 8.727844428901596e-05	4.9509018036072145
 6.98738263111513e-05	4.960721442885771
 5.244366250137568e-05	4.9705410821643286
 3.498796326193187e-05	4.980360721442886
 1.7506738974450796e-05	4.9901803607214426
 -0.0	5.0
--- a/ELoss/SiLoss/E_vs_x_proton.dat
+++ b/ELoss/SiLoss/E_vs_x_proton.dat
@ -0,0 +1,501 @@
 Distance_cm	Energy_MeV
 -0.0	50.0
 0.004378786639187832	49.899819639278554
 0.00875076770652868	49.799639278557116
 0.01311593945952968	49.69945891783567
 0.017474298149756096	49.599278557114225
 0.021825840022808636	49.49909819639279
 0.026170561318300586	49.39891783567134
 0.030508458269831996	49.298737474949895
 0.03483952710496651	49.19855711422846
 0.03916376404520805	49.09837675350701
 0.04348116530597424	48.99819639278557
 0.04779172709657429	48.89801603206413
 0.052095445626067105	48.79783567134268
 0.05639231721726812	48.69765531062124
 0.06068233818060062	48.5974749498998
 0.06496550470003762	48.49729458917835
 0.06924181295331647	48.397114228456914
 0.07351125911191421	48.29693386773547
 0.07777383934101972	48.19675350701403
 0.08202954979951033	48.096573146292585
 0.08627838663992354	47.99639278557114
 0.09052034600843178	47.8962124248497
 0.09475542404481686	47.796032064128255
 0.09898361688244162	47.69585170340681
 0.10320492064822404	47.59567134268537
 0.1074193314626112	47.495490981963925
 0.11162684543955016	47.39531062124249
 0.11582745868646294	47.29513026052104
 0.12002116730421697	47.194949899799596
 0.12420796738709837	47.09476953907816
 0.12838785502278496	46.99458917835671
 0.1325608262923164	46.89440881763527
 0.13672687727006697	46.79422845691383
 0.14088600402371784	46.69404809619238
 0.1450382026142266	46.593867735470944
 0.14918346909580057	46.4936873747495
 0.153321799515866	46.39350701402805
 0.15745318991503948	46.293326653306615
 0.1615776363270996	46.19314629258517
 0.16569513477895548	46.09296593186372
 0.16980568129061785	45.992785571142285
 0.1739092718751699	45.89260521042084
 0.17800590253873505	45.7924248496994
 0.18209556928044876	45.692244488977956
 0.18617826809242588	45.59206412825651
 0.1902539949597307	45.49188376753507
 0.1943227458603466	45.391703406813626
 0.19838451676514313	45.29152304609218
 0.20243930363784532	45.19134268537074
 0.20648710243500276	45.0911623246493
 0.21052790912536126	44.99098196392786
 0.21456171978401153	44.89080160320641
 0.21858853045899374	44.79062124248497
 0.22260833707708655	44.69044088176353
 0.22662113555773017	44.59026052104208
 0.23062692181299144	44.49008016032064
 0.23462569174753137	44.3898997995992
 0.23861744125857234	44.28971943887775
 0.2426021662358626	44.18953907815631
 0.2465798625616429	44.08935871743487
 0.25055052611061324	43.989178356713424
 0.25451415274989597	43.888997995991986
 0.2584707383390034	43.78881763527054
 0.26242027872980084	43.688637274549095
 0.2663627697664718	43.588456913827656
 0.27029820728548337	43.48827655310621
 0.27422658711554876	43.388096192384765
 0.2781479050775918	43.28791583166333
 0.28206215698471143	43.18773547094188
 0.2859693386421432	43.08755511022044
 0.28986944584722424	42.987374749499
 0.2937624743893545	42.88719438877755
 0.2976484200499597	42.78701402805611
 0.30152727860245465	42.68683366733467
 0.30539904581220323	42.58665330661322
 0.30926371743648123	42.486472945891784
 0.31312128922443816	42.38629258517034
 0.31697175691705665	42.2861122244489
 0.3208151162471153	42.185931863727454
 0.3246513629391472	42.08575150300601
 0.32848049270940105	41.98557114228457
 0.3323025012658017	41.885390781563125
 0.33611738430790805	41.78521042084168
 0.3399251375268733	41.68503006012024
 0.3437257566054045	41.584849699398795
 0.34751923724505895	41.48466933867736
 0.3513055752526099	41.38448897795591
 0.3550847663984913	41.284308617234466
 0.35885680633035044	41.18412825651303
 0.3626216906871775	41.08394789579158
 0.3663794150992604	40.983767535070136
 0.3701299751881427	40.8835871743487
 0.3738733665665804	40.78340681362725
 0.377609584838496	40.683226452905814
 0.3813386255989364	40.58304609218437
 0.38506048443402624	40.48286573146292
 0.38877515692092357	40.382685370741484
 0.39248263862777516	40.28250501002004
 0.39618292511366904	40.18232464929859
 0.39987601192858924	40.082144288577155
 0.4035618946133699	39.98196392785571
 0.4072405686996464	39.88178356713427
 0.4109120297098105	39.781603206412825
 0.4145762731569603	39.68142284569138
 0.4182332945448532	39.58124248496994
 0.42188308936785834	39.481062124248496
 0.42552565311090584	39.38088176352705
 0.4291609812494385	39.28070140280561
 0.4327890692493629	39.180521042084166
 0.43640991256699724	39.08034068136273
 0.44002350664902323	38.98016032064128
 0.4436298469324332	38.87997995991984
 0.44722892884447946	38.7797995991984
 0.45082074780262343	38.67961923847695
 0.4544052992144818	38.57943887775551
 0.4579825784777747	38.47925851703407
 0.4615525809802732	38.37907815631262
 0.46511530209974455	38.27889779559118
 0.46867073734863296	38.17871743486974
 0.472218882234734	38.078537074148294
 0.4757597321104479	37.978356713426855
 0.47929328231199714	37.87817635270541
 0.48281952816532414	37.777995991983964
 0.48633846498603595	37.677815631262526
 0.48985008807934793	37.57763527054108
 0.49335439274002507	37.477454909819635
 0.4968513742523249	37.377274549098196
 0.5003410278899398	37.27709418837675
 0.5038233489159368	37.17691382765531
 0.5072983325826997	37.07673346693387
 0.5107659741318681	36.97655310621242
 0.5142262687942771	36.87637274549098
 0.5176792117898977	36.77619238476954
 0.5211247983277737	36.67601202404809
 0.5245630236059602	36.57583166332665
 0.5279938828114621	36.47565130260521
 0.5314173711201692	36.37547094188377
 0.5348334836967945	36.275290581162324
 0.5382422156948082	36.17511022044088
 0.5416435622563738	36.07492985971944
 0.545037518512283	35.974749498997994
 0.5484240795818888	35.87456913827655
 0.5518032405730393	35.77438877755511
 0.5551749965820113	35.674208416833665
 0.558539342693441	35.574028056112226
 0.561896273980257	35.47384769539078
 0.5652457855036102	35.373667334669335
 0.5685878723507413	35.2734869739479
 0.571922529719821	35.17330661322645
 0.5752497527585242	35.073126252505006
 0.5785695364790485	34.97294589178357
 0.5818818758814585	34.87276553106212
 0.5851867659536106	34.77258517034068
 0.5884842016710817	34.67240480961924
 0.5917741779970929	34.57222444889779
 0.595056689882435	34.472044088176354
 0.5983317322653937	34.37186372745491
 0.6015993000716716	34.27168336673346
 0.6048593882143114	34.171503006012024
 0.6081119915936187	34.07132264529058
 0.611357105097082	33.97114228456914
 0.6145947235992943	33.870961923847695
 0.6178248419618723	33.77078156312625
 0.6210474550333746	33.67060120240481
 0.6242625576492217	33.570420841683365
 0.6274701446316117	33.47024048096192
 0.6306702107894371	33.37006012024048
 0.6338627509182018	33.269879759519036
 0.6370477597999339	33.1696993987976
 0.6402252322031018	33.06951903807615
 0.6433951628825259	32.969338677354706
 0.6465575465792912	32.86915831663327
 0.6497123780206598	32.76897795591182
 0.6528596519199801	32.66879759519038
 0.6559993629765968	32.56861723446894
 0.6591315060182708	32.46843687374749
 0.6622560758886191	32.368256513026054
 0.6653730672738065	32.26807615230461
 0.6684824748149141	32.16789579158316
 0.6715842931385516	32.067715430861725
 0.6746785168567621	31.967535070140283
 0.6777651405669236	31.86735470941884
 0.6808441588516522	31.767174348697395
 0.6839155662787016	31.666993987975953
 0.6869793574008647	31.56681362725451
 0.690035526755871	31.46663326653307
 0.6930840688662854	31.366452905811624
 0.6961249782394039	31.26627254509018
 0.6991582493671503	31.16609218436874
 0.7021838767259699	31.065911823647298
 0.7052018547767233	30.965731462925852
 0.7082121779645777	30.86555110220441
 0.7112148407188996	30.76537074148297
 0.7142098374531433	30.665190380761526
 0.7171971625647399	30.56501002004008
 0.7201768104349849	30.46482965931864
 0.7231487754289248	30.364649298597197
 0.726113051895241	30.264468937875755
 0.7290696341661349	30.16428857715431
 0.732018516557209	30.064108216432867
 0.7349595790349305	29.963927855711425
 0.7378924994260475	29.863747494989983
 0.7408170715941045	29.763567134268538
 0.743733293237923	29.663386773547096
 0.7466411620553653	29.563206412825654
 0.7495406757431321	29.46302605210421
 0.7524318319965594	29.362845691382766
 0.7553146285094136	29.262665330661324
 0.7581890629736842	29.162484969939882
 0.7610551330793747	29.06230460921844
 0.763912836514291	28.962124248496995
 0.7667621709638281	28.861943887775553
 0.769603134110755	28.76176352705411
 0.7724357236349964	28.66158316633267
 0.7752599372134134	28.561402805611223
 0.7780757725195809	28.46122244488978
 0.7808832272235643	28.36104208416834
 0.783682298991692	28.260861723446897
 0.786472985486327	28.16068136272545
 0.7892552843656355	28.06050100200401
 0.7920291932833536	27.960320641282568
 0.7947947098885513	27.860140280561126
 0.7975518318253938	27.75995991983968
 0.8003005567735901	27.65977955911824
 0.8030408825415281	27.559599198396796
 0.8057728068883477	27.459418837675354
 0.8084963274303307	27.35923847695391
 0.8112114417776556	27.259058116232467
 0.8139181475341445	27.158877755511025
 0.8166164422970066	27.058697394789583
 0.8193063236565786	26.958517034068137
 0.8219877891960629	26.858336673346695
 0.8246608364912625	26.758156312625253
 0.8273254631103141	26.65797595190381
 0.8299816666134163	26.557795591182366
 0.8326294445525569	26.457615230460924
 0.835268794471236	26.357434869739482
 0.8378997139041863	26.25725450901804
 0.8405222003770906	26.157074148296594
 0.8431362514062954	26.056893787575152
 0.8457418644985227	25.95671342685371
 0.8483390371505769	25.85653306613227
 0.8509277668490495	25.756352705410823
 0.85350805107002	25.65617234468938
 0.8560798872787538	25.55599198396794
 0.8586432730506636	25.455811623246493
 0.8611982059916057	25.35563126252505
 0.863744683571363	25.25545090180361
 0.8662827032027395	25.155270541082167
 0.8688122622861959	25.05509018036072
 0.8713333582095261	24.95490981963928
 0.8738459883475292	24.854729458917838
 0.8763501500616785	24.754549098196396
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