Newform data - 75.16.a.j

Formats: - HTML - YAML - JSON - 2024-06-01T15:57:44.964137

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 19200, 'analytic_conductor': 107.0201288249403, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, 1]], 'atkin_lehner_string': '++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [75, 1, [26, 52], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 6, 'field_disc': 79858685355223262199605329357294813228, 'field_disc_factorization': [[2, 2], [19, 1], [131, 1], [1493, 1], [2486873, 1], [2160348688637931904379567, 1]], 'field_poly': [-19672158033999, -70310137200, 3920349703, -1279200, -140297, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-16848332439552, -196892384256, 2525034496, 21979152, -117482, -234, 1]]], 'hecke_orbit': 10, 'hecke_orbit_code': 40532396914769995, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 51840000000, 'hecke_ring_index_factorization': [[2, 13], [3, 4], [5, 7]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '75.16.a.j', 'level': 75, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'minimal_twist': '75.16.a.i', 'prim_orbit_index': 1, 'qexp_display': 'q+(39-\\beta _{1})q^{2}-3^{7}q^{3}+(15519-2^{6}\\beta _{1}+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '15.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '75.16.a', 'trace_display': [234, -13122, 0, -2590222], 'trace_hash': 1257541228797528131, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.694', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '86.235', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1930.315', 'prec': 27}], 'trace_zratio': 0, 'traces': [6, 234, -13122, 93112, 0, -511758, -2590222, 14012388, 28697814, 0, 107489124, -203635944, -109881686, -563984442, 0, 3622829560, 3573042876, 1119214746, -1602340942, 0, 5664815514, 4024661012, -6555818844, -30645092556, 0, -25715894778, -62762119218, -270752117896, 126894468996, 0, 151760841646, 385411085208, -235078714188, 1431919606684, 0, 445351809528, 616109002068, -2822785016634, 240311247282, 0, 1091281712616, 1233433974654, -2444971199030, 1413344578176, 0, -5480862370044, -8369143269660, -7923128247720, 19523846053580, 0, -7814244769812, -10261294060344, 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• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
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-2944467782465484987, -1238528389769772345], [-29106196332168631119898452, 197694849386880662677570, 835340621507825822740, 16230084995411654680, -2838797819196902706, -1591734314222937254], [12630690827246375738864357, -18436930441059906697410, 612261157169900787080, -7512531885745025572, 687505527580386690, 836465500426332726], [-25374114685781714390977908, 21161525393879695383348, 1921927473918728544, -6041542401844542312, 662236994153630028, 3534606139052592996], [-66888671483940191249097486, 170369272611637165374632, -646764126820505620916, 8046092197435570996, -7778690852102109464, -1214937913374870184], [-27341121370489364375983601, 60320439678048424145979, 314376638702596980886, -13296490411424824724, 2999057666352098589, 537929801797500495], [48015468093051391571564917, 94224240408568958346288, -960878639587784609586, -13297201174810853046, 1240819972839795096, -327875257573226136], [31928303589477602467011360, -33416467594436614346412, 302653434270925408692, 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-1717837098445782810498, -15947570969485405716, 8634465436290735401, -4099000155178248445]], 'char_orbit_index': 1, 'field_poly': [-19672158033999, -70310137200, 3920349703, -1279200, -140297, 0, 1], 'hecke_orbit_code': 40532396914769995, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1, 35456, 35456, 17728], 'hecke_ring_inverse_denominators': [1, 1, 1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0], [46766, 14, 1, 0, 0, 0], [639624, 84434, 71, -1, 1, 0], [3947554991, 4488414, 116176, 154, 30, 36], [208152225198, 8364097215, 11399040, -142542, 122950, -4604]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0], [-46766, -14, 1, 0, 0, 0], [1575300742593, 18077014855, -155293256, -1141080, 1151, 9], [1670349840065, 15118566215, -157810632, -1105624, 1151, 9], [-3333830460751, -46373480185, 340699224, 2901320, -2449, -23]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 6, 'label': '75.16.a.j', 'level': 75, 'maxp': 2999, 'weight': 16}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
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74302116419278734939920, 47507758128233928572472, 0, -135643255332650884017168, 6474775175052360158700, 14227064699499419556740, -223178242390125713143776, 0, -37699880638507047409432, -70795492467815525091840, -41449435470269174871720, -80544710402354075739544, 0, 33404272865861137511616, 54617395659894986782520, 114747341177119830619440, -19080815687616936575052, 0, -124829234218588926284952, 54696301336223140695660, -113814882732242358409440, -460280981630724517177296, 0, -157327789402647857274600, -66446344808909481441600, -113961888093036010756680, 178904796947332604594816, 0, -27793494907806932349120, 193536330339549055629960, 18002846847585733007980, -1408163175886081481748, 0, -180348721256849707641456, 35486298980908806526200, -82583726880765660288360, -96562833167309566553976, 0, 370326805772904435162948, -115775786762610615928600, 7346688173581743834840, 50397878675489529355768, 0, 189771062162965542480744, -14749902057128139815460, 288646406059256349641580, -47705647314808101074328, 0, -370461883828271267555712, 4119597423451635874380, 26146112961951102277840, 400398919652676968223732, 0, -328752012216567613355224, -14356284109173136663340, -115696753737460696620000, 23892529397083010873664, 0, 53636305654865759196636, -127629910193662250106500, 91474245250920286745880, -40202197031731074366600, 0, 461220986228773537420296, -24384245417913548822400, -266821955454877852659280, 156361713239165197946376, 0, 86988537609660824995956, -77776834380815602446840, -60545826697018636520640, -373337691576554715087792, 0, -5122655675112574362600, -17808830007686088736540, 299900414176682845981600, 23585379910837263988848, 0], 'weight': 16, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 65967
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 10, 'source_is_minimal': True, 'source_label': '75.16.a.j', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 9, 'target_is_minimal': True, 'target_label': '75.16.a.i', 'target_level': 75, 'twist_class_label': '75.16.a.i', 'twist_class_level': 75, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 16}
  • id: 65968
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 10, 'source_is_minimal': True, 'source_label': '75.16.a.j', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 10, 'target_is_minimal': True, 'target_label': '75.16.a.j', 'target_level': 75, 'twist_class_label': '75.16.a.i', 'twist_class_level': 75, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 16}
  • id: 65969
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 10, 'source_is_minimal': True, 'source_label': '75.16.a.j', 'source_level': 75, 'target_char_orbit': 2, 'target_dim': 12, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '75.16.b.h', 'target_level': 75, 'twist_class_label': '75.16.a.i', 'twist_class_level': 75, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 16}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 236850
    {'charpoly_factorization': [[[-16848332439552, -196892384256, 2525034496, 21979152, -117482, -234, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 2}
  • id: 236851
    {'charpoly_factorization': [[[2187, 1], 6]], 'hecke_orbit_code': 40532396914769995, 'p': 3}
  • id: 236852
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 40532396914769995, 'p': 5}
  • id: 236853
    {'charpoly_factorization': [[[49713972749120779802967982865197955625, 160509546729120748927744873061550, 104973372292484399576094495, -42913196080052549916, -20649982551977, 2590222, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 7}
  • id: 236854
    {'charpoly_factorization': [[[-4130002181888085538871789375219078532803504832, 47361228948306406009060925174404876224, 32987897090909965785061410396016, 844137128971537743637152, -10940124805509812, -107489124, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 11}
  • id: 236855
    {'charpoly_factorization': [[[-231146512777358774872190181656301058698213558767, -130609534656974474232922765413180262848106, 3510517242830909963945382498079151, 4239922692840360530667572, -152001080078437537, 109881686, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 13}
  • id: 236856
    {'charpoly_factorization': [[[-404620853122015917053492201780653600931137885667200704, -5544707134559349994682590370798831535921349056, -10810811364077980643301275347209161360, 24959340756441449033234986080, -5430255886308841460, -3573042876, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 17}
  • id: 236857
    {'charpoly_factorization': [[[853517530978526512454439514296552221676274818295320747625, 1457072999410371133327258386336203999864109549550, 556771414660262523054341271212723200415, -86184060704901955705157358236, -51829252578177352297, 1602340942, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 19}
  • id: 236858
    {'charpoly_factorization': [[[-403752861684597244064280007178454266183396877038516199480000, 973805704650890976225617799819003419035305306686400, 127873705468134205039229542720167651753840, -7534221927518584131579982993248, -1025770625045673147828, 6555818844, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 23}
  • id: 236859
    {'charpoly_factorization': [[[39850982013032727153556525867980964473106961932140986739585864000, -769923725713424340070680555378473287241511654619828800, -56070715327477542578702972391900893918460560, 1724925597515696099659854831640992, -8589073409562052513268, -126894468996, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 29}
  • id: 236860
    {'charpoly_factorization': [[[-2498646071728644886564793623180404780492888984352392939216870984375, -109552466480477522498311282898182672665176824453512108750, 906452692126568254741501064960627300964705375, 11455352410082167774078491506919132, -74652560590762884422153, -151760841646, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 31}
  • id: 236861
    {'charpoly_factorization': [[[3520280933950958877285793055131152345243459887564086943661111070888000, -296380614621331210462347592232082136540834953823621735675200, 472154108274984845279266598264027059065310264560, 856856732091204554536934917242972064, -1398347398652237672289732, -616109002068, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 37}
  • id: 236862
    {'charpoly_factorization': [[[-592507270602626162471989277937118072722923230010564680809283211722752000, -4283035091394686997475376874135561419619570659172163364044800, 5489780254149273209935139271362643301794657249280, 4609090179168787696859298373707919872, -4714730008872913542856928, -1091281712616, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 41}
  • id: 236863
    {'charpoly_factorization': [[[6347705222584406610057259080739081284902640840594735266855050883317644961, 25235830877081873858587862841938390420253569863800833640565430, 12972316982078959462629884405923462874436067150223, -17955384017431858535454788972484286540, -9136734046426903641422737, 2444971199030, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 43}
  • id: 236864
    {'charpoly_factorization': [[[2680984069939979429496553333122685210899912744296869388418512121305983270464, 1418106032607222402117354270113390421049132844324483563093978560, -402821796837663402592177322952921983909012082343952, -295787756260967787359561733406023978720, -19484167007614257139180388, 8369143269660, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 47}
  • id: 236865
    {'charpoly_factorization': [[[34150753950472175564534426992067636354690831359154100493375674952728629760000, 21059881335006048857205758612993481824075070835508704140949094400, -3190710564774637632739253619230783809660985075728640, -1913570069178637102876340293360014478848, -78727115369075789996844368, 16571417665824, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 53}
  • id: 236866
    {'charpoly_factorization': [[[29279306263166843231720408786057850868502990663338458105412456519480060200000, 54554847715988873248034580859549259349902774057685863932165944000, 17048514927438108753085943003735959782993353785899760, -2319431600973503261370367089237016985184, -618653007965364646326525572, -8796604455252, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 59}
  • id: 236867
    {'charpoly_factorization': [[[91941049226894120670751131287254331531274701282765531547258454573258908009781681, 15580453340932248080856790840630552718192211673711793240074890728950, 583560213394661141979797432618529505667092806194087663, -26095510660470321953844318916934572748300, -1653622495407721514628422017, 6959665405750, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 61}
  • id: 236868
    {'charpoly_factorization': [[[550190509681027682555687750580603250930155761041086761667969898734732429981468201, 189860129813938856677958072260286990790499736490983485944576099333294, 1817285444329633316765699880888159334235816255222998815, -328177962284496224158070915724183273128220, -6051823009594028780367414185, 53487461742094, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 67}
  • id: 236869
    {'charpoly_factorization': [[[6560402727522522807961791071175751312712215854966693731980905243807889884179595264, -775119010443608463896968706876655487105352527973213081689872736468992, 1721528690031999437579275353652145057717863299529123840, 574999031078806527482936610823273909808640, -4346047202781049322785603040, -104634162717912, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 71}
  • id: 236870
    {'charpoly_factorization': [[[-354538727751461636920592248165465350590092209999309972989699521045384102149357080000, -13249056826634085442836485178637325407288293266507671902315806048564800, 110343473435228738110047157175847786678822742126837372400, 3283633808159160346023174877416887047799072, -19382999665243060587079532068, -177000981923236, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 73}
  • id: 236871
    {'charpoly_factorization': [[[1891263406990637583429925406549994363777356463965703011737685992806168766156800000000, -153747465756758929768202661897918243474422352461131894005124356710400000, 734307971346553666808829016168037970538150671713072640000, 10834874132249260103889850457842754023680000, -57726293334312760147217960000, -185514024366160, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 79}
  • id: 236872
    {'charpoly_factorization': [[[10363683642150627143856027284319662134945149811756125854111358336754644201491745609792, -194011514941064109655221160462893760250187321801883778541076011020836032, -1041077966644534572762893601969305199859195853661947003664, 18186922538087018442365356068566442703745376, 109162256799534314185471932, -435827733256908, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 83}
  • id: 236873
    {'charpoly_factorization': [[[1728651483033202374977935183167830002622797177100998778178321400990768953774072397824000, -19514814959879011317489580604073405294336423815199656708219098575667200000, 23135638098665479730368853926488161348295703885338936606720, 211742457497651629020205909274179414929997824, -425281447562188756131956639232, -431517021638688, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 89}
  • id: 236874
    {'charpoly_factorization': [[[-525664860695681925491474763567770609368812295327995533847863701400379699435785859674159, -12848935866983975441933953432340262770616687281724023525076076600779982506, -108041666062407923958160891266007008773648149459131007922385, -340907213526215586916207964404132535240326220, -111435843085560454730103279585, 1013615616184854, 1], 1]], 'hecke_orbit_code': 40532396914769995, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 10, 'label': '75.16.a.j', 'level': 75, 'portrait': 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', 'weight': 16}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 53746537
    {'hecke_orbit_code': 40532396914769995, 'n': 1, 'trace_an': 6}
  • id: 53746538
    {'hecke_orbit_code': 40532396914769995, 'n': 2, 'trace_an': 234}
  • id: 53746539
    {'hecke_orbit_code': 40532396914769995, 'n': 3, 'trace_an': -13122}
  • id: 53746540
    {'hecke_orbit_code': 40532396914769995, 'n': 4, 'trace_an': 93112}
  • id: 53746541
    {'hecke_orbit_code': 40532396914769995, 'n': 5, 'trace_an': 0}
  • id: 53746542
    {'hecke_orbit_code': 40532396914769995, 'n': 6, 'trace_an': -511758}
  • id: 53746543
    {'hecke_orbit_code': 40532396914769995, 'n': 7, 'trace_an': -2590222}
  • id: 53746544
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