Progress Update. Trevor Towstego UofT Neutrino/DM Meeting April 12, 2018

Transcription

1 Progress Update Trevor Towstego April 12, 2018

2 NC 1π Investigation 0 Looked at towall of π and reconstructed π0 mass using fitqun Took a look at towall of e as well All events are after baseline+e rec cuts 2

3 3

4 4

5 5

6 6

7 7

8 Grid Search Implementation baseline: prev. grid: baseline: prev. grid: Removed pe-pπ cut in 2Reπ sample (had minimal effect) Refined 2Reπ1de search to a smaller range 8

9 Grid Search Cut Flow Sample 2Reπ 2Reπ1de cut νμ/νμ CC intrinsic νe/νe CC osc νe/νe CC νμ/νμ NC νe/νe NC Signal Backgro und Purity FOM baseline+erec plow>50mev mπ0<80 mπ0>160 towallπ> baseline+erec <pepπ< d2se< FOM = S/sqrt(S+B) Signal = oscillated νe/νe CC events 9

10 Grid Search Breakdown: 2Reπ cut νe/νe CC1π+/- νe/νe CCQE νe/νe CCother νμ/νμ CC1π+/- νμ/νμ CCQE baseline+erec plow>50mev mπ0<80 mπ0>160 towallπ> cut cut νμ/νμ CCother NC 1π+ NC 1π- NC 1π0 NC Nπ NC 0π νe/νe CC1π+/- Other Purity baseline+erec baseline+erec plow>50mev plow>50mev mπ0<80 mπ0>160 towallπ> mπ0<80 mπ0>160 towallπ>

11 Prev. Grid Search Breakdown: 2Reπ cut νe/νe CC1π+/- νe/νe CCQE νe/νe CCother νμ/νμ CC1π+/- νμ/νμ CCQE baseline pe-pπ<700mev plow>50mev meπ<260mev >360MeV nl2reπ-nll2ree< cut cut νμ/νμ CCother NC 1π+ NC 1π- NC 1π0 NC Nπ NC 0π νe/νe CC1π+/- Other Purity baseline baseline pe-pπ<700mev pe-pπ<700mev plow>50mev plow>50mev meπ<260mev >360MeV nl2reπ-nll2ree< meπ<260mev >360MeV nl2reπ-nll2ree<

12 TMVA Troubles Found mistake in TMVA setup code factory->preparetrainingandtesttree( mycuts, mycutb,"ntrain_signal=0:ntrain_background=0: SplitMode=Random:NormMode=NumEvents:!V" ); NormMode should be set to None NumEvents normalizes the events so that the average weight is 1 per event Re-ran all previous TMVA algorithms Now getting strange (and very poor) results for 2Reπ sample For 2Reπ1de sample, BDT is better but MLP is worse 12

13 2Repi MLP BDT Cuts Notes FOM Notes p_low p_e-p_pi m_epi N MaxDepth=3 p_low p_e-p_pi m_epi N p_low p_e-p_pi m_epi N+5,N p_low p_e p_pi m_epi 2Repi1de FOM MLP BDT Cuts Notes p_e-p_pi d2se N MaxDepth= MaxDepth= p_e-p_pi d2se N MaxDepth= MaxDepth= p_e-p_pi d2se N+5,N MaxDepth= N+5,N MaxDepth= p_e p_pi d2se N+5,N MaxDepth= p_low p_e p_pi m_epi N+5,N,N MaxDepth= p_e p_pi d2se N+5,N,N MaxDepth= p_low p_e p_pi m_epi towall e towall pi N+5,N,N MaxDepth= p_e p_pi d2se towall e towall pi N+5,N,N MaxDepth= baseline: grid: FOM Notes baseline: grid: FOM 13

14 why is there a cut-off here? 14

15 15

16 2Reπ Overtraining Check 16

17 2Reπ1de Overtraining Check 17

18 Thoughts Why is efficiency of 2Reπ sample being cut off at ~0.73? Still looking at TMVA performance on pre-baseline events nll2repi, nll2rpie, nll2ree mrmom1, mrmom2 towall1, towall2 replaced direction and vertex of each ring with towall use less RAM mrpid1, mrpid2 Studies ongoing 18