Embedded newform data - 2442.4.a.n.1.8

Formats: - HTML - YAML - JSON - 2025-10-03T04:41:23.703650

• 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': 39072, 'analytic_conductor': 144.08266423401858, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 1], [11, -1], [37, 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': [2442, 1, [815, 1333, 1519], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 12, 'field_disc': 2492203068330023007142137665946070297556719616, 'field_disc_factorization': [[2, 11], [2713, 1], [2553726728217341, 1], [175642357774455026624999, 1]], 'field_poly': [-37088275010, 65348896151, -15280838921, -4379648628, 1339839809, 69190668, -29936318, -397682, 248360, 1205, -849, -2, 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': [[5, [9979078784, 27173172544, -20139276152, 1072879448, 1240188084, -104932652, -25843082, 1530830, 221165, -7175, -805, 10, 1]]], 'hecke_orbit': 14, 'hecke_orbit_code': 58546795222927754, 'hecke_ring_generator_nbound': 19, 'hecke_ring_index': 80, 'hecke_ring_index_factorization': [[2, 4], [5, 1]], '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': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '2442.4.a.n', 'level': 2442, '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': True, 'level_primes': [2, 3, 11, 37], 'level_radical': 2442, 'minimal_twist': '2442.4.a.n', 'prim_orbit_index': 1, 'qexp_display': 'q-2q^{2}-3q^{3}+4q^{4}+(-1+\\beta _{1})q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2442.4.a', 'trace_display': [-24, -36, -10, -25], 'trace_hash': 1789995997677635880, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.898', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '292.892', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14090.198', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [12, -24, -36, 48, -10, 72, -25, -96, 108, 20, 132, -144, 12, 50, 30, 192, -10, -216, -9, -40, 75, -264, -201, 288, 210, -24, -324, -100, -84, -60, 10, -384, -396, 20, -565, 432, -444, 18, -36, 80, 215, -150, -434, 528, -90, 402, -256, -576, 519, -420, 30, 48, -448, 648, -110, 200, 27, 168, -588, 120, 735, -20, -225, 768, -859, 792, -288, -40, 603, 1130, 1019, -864, -309, 888, -630, -36, -275, 72, 1116, -160, 972, -430, -662, 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• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 8, 'dual_embedding_m': 8, 'embedding_index': 8, 'embedding_m': 8, 'embedding_root_imag': 0.0, 'embedding_root_real': 4.073626360457321, 'hecke_orbit': 14, 'hecke_orbit_code': 58546795222927754, 'label': '2442.4.a.n.1.8', 'level': 2442, 'weight': 4}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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

  
  {'ALdims': [10, 12, 12, 11, 11, 13, 11, 10, 10, 13, 12, 10, 13, 8, 9, 15], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 'ALdims_old': [84, 66, 68, 77, 77, 70, 72, 76, 78, 71, 66, 80, 76, 74, 71, 74], 'Nk2': 39072, 'analytic_conductor': 144.08266423401858, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2442, 1, [815, 1333, 1519], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1360, 'dim': 180, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 67111306, 'hecke_orbit_dims': [1, 1, 2, 7, 8, 9, 10, 10, 10, 11, 11, 11, 11, 12, 12, 13, 13, 13, 15], 'label': '2442.4.a', 'level': 2442, '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': True, 'level_primes': [2, 3, 11, 37], 'level_radical': 2442, 'mf_dim': 1376, 'mf_new_dim': 180, 'num_forms': 19, 'plus_dim': 98, 'prim_orbit_index': 1, 'relative_dim': 180, 'sturm_bound': 1824, 'trace_bound': 5, 'trace_display': [0, 0, 0, 0], 'traces': [180, 0, 0, 720, 0, 0, 0, 0, 1620, 0, 0, 0, 0, 0, 0, 2880, 0, 0, 0, 0, 0, 88, 856, 0, 5012, 80, 0, 0, 128, 0, -40, 0, 0, 0, -448, 6480, 148, 64, 0, 0, 840, 336, -48, 0, 0, 560, 664, 0, 9460, 0, 240, 0, -1752, 0, 0, 0, 0, -784, 2016, 0, 1344, -304, 0, 11520, -2048, 528, 1312, 0, 2064, 2976, -1096, 0, 4328, 0, 2736, 0, -704, 288, -2528, 0, 14580, 1600, 5088, 0, 9504, 0, 3840, 352, 7080, 0, 9808, 3424, 1128, 1248, 3008, 0, 3208, 4096, 0, 20048, 2632, 384, -3240, 320, -96, -160, 4992, 0, 4752, 0, 0, 0, -6648, 0, -6832, 512, 0, -4688, -608, 0, 21780, -1520, -4848, -160, 3840, 0, 4576, 0, -3312, 64, -4096, 0, -12016, 7936, 0, 0, 2448, 0, -1024, -1792, -1920, -1600, -2728, 25920, -4736, -2496, -2832, 592, -3544, -5568, -3008, 256, 0, 2464, -13408, 0, 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• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 12, 'source_embedding_index': 8, 'source_hecke_orbit_code': 58546795222927754, 'source_is_minimal': True, 'source_label': '2442.4.a.n.1.8', 'source_level': 2442, 'target_conrey_index': 1, 'target_dim': 12, 'target_embedding_index': 8, 'target_hecke_orbit_code': 58546795222927754, 'target_is_minimal': True, 'target_label': '2442.4.a.n.1.8', 'target_level': 2442, 'twist_class_label': '2442.4.a.n.1.8', 'twist_class_level': 2442, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2657600
    {'charpoly_factorization': [[[2, 1], 12]], 'hecke_orbit_code': 58546795222927754, 'p': 2}
  • id: 2657601
    {'charpoly_factorization': [[[3, 1], 12]], 'hecke_orbit_code': 58546795222927754, 'p': 3}
  • id: 2657602
    {'charpoly_factorization': [[[9979078784, 27173172544, -20139276152, 1072879448, 1240188084, -104932652, -25843082, 1530830, 221165, -7175, -805, 10, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 5}
  • id: 2657603
    {'charpoly_factorization': [[[3967804813312, 8320399059424, -2646195317344, -41122722040, 65737649680, -2813348612, -440159756, 20605486, 1351792, -43603, -2005, 25, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 7}
  • id: 2657604
    {'charpoly_factorization': [[[-11, 1], 12]], 'hecke_orbit_code': 58546795222927754, 'p': 11}
  • id: 2657605
    {'charpoly_factorization': [[[-728039154554421248, 3251451441073983488, -171452945977156096, -5907869313227904, 326641509263872, 4190754177776, -241838068144, -1424609552, 86892080, 224003, -15075, -12, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 13}
  • id: 2657606
    {'charpoly_factorization': [[[10706602209720815104, -2274394992072841216, -78126523835206144, 22289827859028608, 882864517276664, -22488914901784, -937001968806, 6346366346, 293759465, -500719, -31289, 10, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 17}
  • id: 2657607
    {'charpoly_factorization': [[[-301887857260307200000, 43033447297707715200, 9613851911642090880, 428309475762226528, 1539787370230272, -211988177972280, -2567744122328, 30634293402, 530208708, -1454263, -39705, 9, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 19}
  • id: 2657608
    {'charpoly_factorization': [[[-2450020822139805867008, 1068305660964647017984, 91894516881891177984, 848077256452794752, -58470416422255024, -1165848712719080, 3129072124468, 194195790018, 544566756, -11006383, -49077, 201, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 23}
  • id: 2657609
    {'charpoly_factorization': [[[-29127350488752890702643200, -1268345504557096010199040, 2457893719657169323008, 489236471762770181888, 3006599935038370048, -38210574546970016, -306023489209928, 1198596289150, 11169996026, -16549337, -175485, 84, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 29}
  • id: 2657610
    {'charpoly_factorization': [[[-714785849148246940452431104, -17041451195260083477822080, 27028630193749765206624, 3302220338762087537840, 17850162533465591384, -132868120529569020, -1123234675139172, 1864712063788, 26057730202, -7142607, -267419, -10, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 31}
  • id: 2657611
    {'charpoly_factorization': [[[37, 1], 12]], 'hecke_orbit_code': 58546795222927754, 'p': 37}
  • id: 2657612
    {'charpoly_factorization': [[[12872521112637276974538303232, -442528774298991611765337088, 5215342174836999789965984, -14836722565853687339504, -170421566790045028616, 1299731377618918156, -187422658523516, -22525694882280, 46272368414, 129287723, -405707, -215, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 41}
  • id: 2657613
    {'charpoly_factorization': [[[235560547830377151616488192, -8795731515738867003498624, -82343386607445306661824, 5198675139374378709792, -9879480781188097936, -601676185921545960, -276489279244244, 19896391909198, 36527356038, -171633977, -376867, 434, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 43}
  • id: 2657614
    {'charpoly_factorization': [[[10065338931848340738954346240, -79450483570777620730107392, -5270061264783115709410144, 20756587916970112818624, 326358333576606976720, -912120833553845920, -8285041164830134, 15181924845280, 99901976463, -105717473, -543771, 256, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 47}
  • id: 2657615
    {'charpoly_factorization': [[[-1013464097115393693213142653440, -7004508938532681033042932096, 76656580535360553985770752, 693201093265306278713120, -695150811547886759264, -17138941661086773592, -20287367182019760, 137311915570134, 256481159716, -429268647, -933745, 448, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 53}
  • id: 2657616
    {'charpoly_factorization': [[[2345264903613553032351255347200, -23745989064406127107267153920, -241844573305058973525407744, 1285374106728170656393216, 6036126373278792728192, -21616655053699262880, -66897954301898656, 156765751616296, 369611779876, -505625276, -980268, 588, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 59}
  • id: 2657617
    {'charpoly_factorization': [[[2711495972737093829482766950400, 18703543059652550319963873280, -473632598594331683438370816, -2141263921925142957448704, 14521616728869334099456, 38983821930049472192, -150375629080213760, -274851790706584, 652816957666, 772951373, -1295050, -735, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 61}
  • id: 2657618
    {'charpoly_factorization': [[[-44935935881886240687177341108224, 556389960345806409480927249408, -1429517128048025737978332160, -7284247314219224820533760, 34581722693758317704448, 25799408898653249104, -266316638231381584, 23883827624704, 964556217776, -258865429, -1653417, 288, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 67}
  • id: 2657619
    {'charpoly_factorization': [[[-994522460316463575737421191168, -32720729250623530464364663296, -222248503428998119872120928, 2518601562900418868077216, 34500686755629268659712, 80051669796800724992, -272051287771372238, -654695238004730, 960147382797, 1485612400, -1619339, -1019, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 71}
  • id: 2657620
    {'charpoly_factorization': [[[477704424656814761384747439405056, 8566462055992015031982204841472, 54963898182542627838393912576, 132123806741107923508888640, -70463617749793867010944, -834091825004860401040, -773527301481254576, 1595581599723420, 2465301426040, -1209570057, -2678064, 309, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 73}
  • id: 2657621
    {'charpoly_factorization': [[[-69900332610490366935592813216000, -12053158139450285289918656000, 13611038811336693202436949120, -58400838235451890515795264, -96682911719731613616960, 660203660211717494544, -104313591157888920, -2216672163956524, 1384904115589, 2774918877, -2241627, -1116, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 79}
  • id: 2657622
    {'charpoly_factorization': [[[-867645860153594013287162728448, -10780105247089612854753540096, 148239231751918567137959680, 1884059637864012399925248, -4242587273619015303424, -78132019075191882272, -73180639294333412, 712258036088536, 1131665212463, -1268470515, -2151123, 662, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 83}
  • id: 2657623
    {'charpoly_factorization': [[[-740460880719517193539875072000, -1078584102960991816232088457200, 29961083274727966649514615600, -51726773358895086463906656, -429190140986930875225976, 1084173102926623811320, 1004827289530498932, -4059479656175252, 427912899758, 4988372045, -2390706, -1603, 1], 1]], 'hecke_orbit_code': 58546795222927754, 'p': 89}
  • id: 2657624
    {'charpoly_factorization': [[[-3241755911870947177711734270464, 236477030134758526263891093248, -3866765028835063816081413120, 11571780962924791930879232, 95922159581517613906368, -168591850874282963680, -834403408937916576, 436489742201984, 2583540841342, -63255641, -2946882, -349, 1], 1]], 'hecke_orbit_code': 58546795222927754, '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': 14, 'label': '2442.4.a.n', 'level': 2442, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 59134351
    {'hecke_orbit_code': 58546795222927754, 'n': 1, 'trace_an': 12}
  • id: 59134352
    {'hecke_orbit_code': 58546795222927754, 'n': 2, 'trace_an': -24}
  • id: 59134353
    {'hecke_orbit_code': 58546795222927754, 'n': 3, 'trace_an': -36}
  • id: 59134354
    {'hecke_orbit_code': 58546795222927754, 'n': 4, 'trace_an': 48}
  • id: 59134355
    {'hecke_orbit_code': 58546795222927754, 'n': 5, 'trace_an': -10}
  • id: 59134356
    {'hecke_orbit_code': 58546795222927754, 'n': 6, 'trace_an': 72}
  • id: 59134357
    {'hecke_orbit_code': 58546795222927754, 'n': 7, 'trace_an': -25}
  • id: 59134358
    {'hecke_orbit_code': 58546795222927754, 'n': 8, 'trace_an': -96}
  • id: 59134359
    {'hecke_orbit_code': 58546795222927754, 'n': 9, 'trace_an': 108}
  • id: 59134360
    {'hecke_orbit_code': 58546795222927754, 'n': 10, 'trace_an': 20}
  • id: 59134361
    {'hecke_orbit_code': 58546795222927754, 'n': 11, 'trace_an': 132}
  • id: 59134362
    {'hecke_orbit_code': 58546795222927754, 'n': 12, 'trace_an': -144}
  • id: 59134363
    {'hecke_orbit_code': 58546795222927754, 'n': 13, 'trace_an': 12}
  • id: 59134364
    {'hecke_orbit_code': 58546795222927754, 'n': 14, 'trace_an': 50}
  • id: 59134365
    {'hecke_orbit_code': 58546795222927754, 'n': 15, 'trace_an': 30}
  • id: 59134366
    {'hecke_orbit_code': 58546795222927754, 'n': 16, 'trace_an': 192}
  • id: 59134367
    {'hecke_orbit_code': 58546795222927754, 'n': 17, 'trace_an': -10}
  • id: 59134368
    {'hecke_orbit_code': 58546795222927754, 'n': 18, 'trace_an': -216}
  • id: 59134369
    {'hecke_orbit_code': 58546795222927754, 'n': 19, 'trace_an': -9}
  • id: 59134370
    {'hecke_orbit_code': 58546795222927754, 'n': 20, 'trace_an': -40}
  • id: 59134371
    {'hecke_orbit_code': 58546795222927754, 'n': 21, 'trace_an': 75}
  • id: 59134372
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  • id: 59134471
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  • id: 59134473
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  • id: 59134475
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  • id: 59134561
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  • id: 59134562
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  • id: 59134563
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  • id: 59134564
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  • id: 59134565
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  • id: 59134566
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  • id: 59134567
    {'hecke_orbit_code': 58546795222927754, 'n': 729, 'trace_an': 8748}
  • id: 59134568
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  • id: 59134569
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  • id: 59134570
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  • id: 59134571
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  • id: 59134572
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  • id: 59134573
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  • id: 59134574
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  • id: 59134575
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  • id: 59134576
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  • id: 59134577
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  • id: 59134578
    {'hecke_orbit_code': 58546795222927754, 'n': 809, 'trace_an': 82969}
  • id: 59134579
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  • id: 59134580
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  • id: 59134581
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  • id: 59134582
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  • id: 59134583
    {'hecke_orbit_code': 58546795222927754, 'n': 829, 'trace_an': 55311}
  • id: 59134584
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  • id: 59134585
    {'hecke_orbit_code': 58546795222927754, 'n': 841, 'trace_an': 65358}
  • id: 59134586
    {'hecke_orbit_code': 58546795222927754, 'n': 853, 'trace_an': 42895}
  • id: 59134587
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  • id: 59134588
    {'hecke_orbit_code': 58546795222927754, 'n': 859, 'trace_an': 59939}
  • id: 59134589
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  • id: 59134590
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  • id: 59134591
    {'hecke_orbit_code': 58546795222927754, 'n': 881, 'trace_an': 53827}
  • id: 59134592
    {'hecke_orbit_code': 58546795222927754, 'n': 883, 'trace_an': -41858}
  • id: 59134593
    {'hecke_orbit_code': 58546795222927754, 'n': 887, 'trace_an': 31257}
  • id: 59134594
    {'hecke_orbit_code': 58546795222927754, 'n': 907, 'trace_an': 7268}
  • id: 59134595
    {'hecke_orbit_code': 58546795222927754, 'n': 911, 'trace_an': -37060}
  • id: 59134596
    {'hecke_orbit_code': 58546795222927754, 'n': 919, 'trace_an': 36028}
  • id: 59134597
    {'hecke_orbit_code': 58546795222927754, 'n': 929, 'trace_an': -99779}
  • id: 59134598
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  • id: 59134599
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  • id: 59134600
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  • id: 59134601
    {'hecke_orbit_code': 58546795222927754, 'n': 953, 'trace_an': 67533}
  • id: 59134602
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  • id: 59134603
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  • id: 59134604
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  • id: 59134605
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  • id: 59134606
    {'hecke_orbit_code': 58546795222927754, 'n': 983, 'trace_an': -1969}
  • id: 59134607
    {'hecke_orbit_code': 58546795222927754, 'n': 991, 'trace_an': -25472}
  • id: 59134608
    {'hecke_orbit_code': 58546795222927754, 'n': 997, 'trace_an': 12069}