C 162 poly
 

@unconnected
CADO's pick, same E/c1/Y1. Sieve just in case, could be faster.
[code]
Y0: -18623527746589320560122137997073
Y1: 244728030520968961
c0: -898460662223698858536351049141010182020
c1: -1638931728746173173452044597687793
c2: -267013628851361541451559988
c3: 66068043027303817206
c4: -2289012634180
c5: 387600
skew: 6387179.13700
# MurphyE=1.03841053e-12
[/code]I will do a CADO run. Will be ready in the morning.

Two OPNs which are just a bit smaller than the previous p^17-1. Based on past experience, would these be considered for the 14e queue? Both from the [URL=http://www.lirmm.fr/~ochem/opn/t500.txt]t500[/URL] file.

5889307277311^17-1 (C196) SNFS-231
5968930061879^17-1 (C198) SNFS-231

poly for C162 from aliquot sequence 842592
 

@unconnected
CADO's pick
[code]
skew: 13445834.38785
c0: 7889973539432590338319757861480303163342
c1: -1386187955297181359306847776038029
c2: -272938635073788106929707332
c3: -5138801211526159081
c4: 3397060679100
c5: 67680
Y0: -34830257973490639281816833143030
Y1: 814873975693312880707
# lognorm 51.83, E 44.20, alpha -7.63 (proj -1.92), 3 real roots
# MurphyE=1.04745223e-12
[/code]

poly for C162 from aliquot sequence 842592
 

@unconnected
my tweak (different alpha)
[code]
Y0: -34831391682391928141535061490213
Y1: 814873975693312880707
c0: -88222397575805084992367746274955803520
c1: 353270482381529568223124483376434
c2: -213884622752669061727977775
c3: -22733668068860945881
c4: 2926255249500
c5: 67680
skew: 7693677.00957
# lognorm 50.45, E 43.70, alpha -6.74 (proj -1.92), 5 real roots
# MurphyE=1.05110104e-12
[/code]

poly for C162 from aliquot sequence 842592
 

@unconnected
Msieve's pick
[code]
R0: -34829958535825161138599124145275
R1: 814873975693312880707
A0: 7343550345674532950650471543876825778032
A1: -1588180026426821700115930241892464
A2: -275817800354664032231221327
A3: -54208941595153081
A4: 3521410835100
A5: 67680
skew 13348906.39, size 8.616e-016, alpha -7.597, combined = 1.048e-012[/code]

Max0526, thank you, but it's almost sieved with the old poly.
BTW, can you help with this C170?
[CODE]16155374118973955813091649522779062742170185143586034082882967704389689802848431254319353182125901255550801551714585711083348904636336944688336558457044065738232253533181[/CODE]

C170
 

@unconnected
I started a CADO run. Will post a base line poly tomorrow.

C170 base line poly
 

@unconnected
[code]
Y0: -481577775502292719691222533466215
Y1: 392211303392590918613
c0: 676967562821041360271590945010038194072
c1: -558415222231268297449660083358513
c2: -826058768396258624186120634
c3: 55554649634344546624
c4: 336759873568398
c5: 13097700
skew: 2622076.914
# lognorm 53.43, E 46.57, alpha -6.86 (proj -2.56), 3 real roots
# MurphyE(Bf=1.00e+07,Bg=5.00e+06,area=1.00e+16)=3.19e-13
[/code]

a better poly for C170
 

@unconnected
[code]
Y0: -356499010538523947157269092419110
Y1: 163775572678930471897
c0: -1419966496866041669939081375489923857981
c1: -549273100465567594192894754191774
c2: 430139899851675599574155400
c3: -396728027079635269034
c4: -15914193900339
c5: 8416800
skew: 5162933.640
# alpha -6.45, 3 real roots
# MurphyE=3.37e-13
[/code]

a poly for C170
 

@unconnected
[code]
Y0: -403920761452835638309562584753452
Y1: 139734402761902162972331
c0: 15704423812350540538584439783197718518
c1: 48287137381509733962200801315009
c2: 20057458849965438898060633
c3: -770495243261323908886
c4: -1219618934494020
c5: 1307662200
skew: 561981.62560
# alpha -7.21, 3 real roots
# MurphyE=3.21639857e-13
[/code]

a better poly for C170 (#2)
 

@unconnected
[code]
Y0: -344623661964797284651302945866525
Y1: 2092245837566369065883
c0: 11364326858502652614799619552973463104
c1: 185585567921498971874548054774742
c2: -434778363686352781085550351
c3: -264918417403388724737
c4: 16623616036032
c5: 39881520
skew: 1485775.61878
# lognorm 52.44, E 45.69, alpha -6.75 (proj -2.04), 3 real roots
# MurphyE=3.85192527e-13
[/code]