Newform data - 64.22.a.h

Formats: - HTML - YAML - JSON - 2023-12-09T16:16:22.551141

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 30976, 'analytic_conductor': 178.86550034371973, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1]], 'atkin_lehner_string': '-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [64, 1, [63, 5], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 2, 'field_disc': 358549, 'field_disc_factorization': [[19, 1], [113, 1], [167, 1]], 'field_poly': [-89637, -1, 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': [[3, [-10438573680, 105432, 1]]], 'hecke_orbit': 8, 'hecke_orbit_code': 31525197760692288, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 384, 'hecke_ring_index_factorization': [[2, 7], [3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '64.22.a.h', 'level': 64, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'minimal_twist': '8.22.a.a', 'nf_label': '2.2.358549.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-52716-\\beta )q^{3}+(-1054070+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '21.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '64.22.a', 'trace_display': [0, -105432, -2108140, -444771792], 'trace_hash': 1657637406625605643, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.027', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.959', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.355', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.451', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.438', 'prec': 17}, {'__RealLiteral__': 0, 'data': '63.414', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [2, 0, -105432, 0, -2108140, 0, -444771792, 0, 11072347578, 0, 53806403320, 0, 490366676932, 0, 639834721680, 0, -6593864672092, 0, 19302397925320, 0, 135055584824256, 0, 409737865776272, 0, -940878149007650, 0, -2267939450073456, 0, 2404787522145060, 0, 8689907170559168, 0, -16772541164782752, 0, 2701000503537120, 0, 2186204096251860, 0, -139904623071296688, 0, 68178038573558676, 0, 264529652266004024, 0, -67413140092548540, 0, -426494411558622432, 0, -546967577640131534, 0, 1159640456555021520, 0, 3055980275589518132, 0, -335437371694825040, 0, -10702822880368260192, 0, 783424997522814424, 0, 7177279049078597092, 0, -14229493501717343376, 0, -2797969869756700760, 0, 16674123174011538088, 0, -46561318352256083136, 0, -9448263149848716368, 0, -11586140334503007532, 0, 48484754640473875800, 0, 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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

  
  {'an': [[1, 0], [0, 0], [-52716, -1], [0, 0], [-1054070, -20], [0, 0], [-222385896, -4222], [0, 0], [5536173789, 105432], [0, 0], [26903201660, 527181], [0, 0], [245183338466, 4314508], [0, 0], [319917360840, 2108390], [0, 0], [-3296932336046, -30718184], [0, 0], [9651198962660, 366379451], [0, 0], [67527792412128, 444952848], [0, 0], [204868932888136, 944258822], [0, 0], [-470439074503825, 42162800], [0, 0], [-1133969725036728, -633773898], [0, 0], [1202393761072530, -23192603812], [0, 0], [4344953585279584, 18061983176], [0, 0], [-8386270582391376, -54694075256], [0, 0], [1350500251768560, 8898001460], [0, 0], [1093102048125930, 50855746684], [0, 0], [-69952311535648344, -472626942194], [0, 0], [34089019286779338, -13526799376], [0, 0], [132264826133002012, -769879839131], [0, 0], [-33706570046274270, -221856184020], [0, 0], [-213247205779311216, 2319694970380], [0, 0], [-273483788820065767, 1877826505824], [0, 0], [579820228277510760, 4916272123790], [0, 0], [1527990137794759066, 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[283325832982944355671852331338166628, -24273575944169942671071321001957], [1795214854770162567388544700950308602, 5042457573008220002416036540856], [647239819300287224668920416382529740, -15505714873152611960505807899447], [-3784470722424277914005607976669331672, 14081362652425447471018292046894]], 'char_orbit_index': 1, 'field_poly': [-89637, -1, 1], 'hecke_orbit_code': 31525197760692288, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1], 'hecke_ring_inverse_denominators': [1, 384], 'hecke_ring_inverse_numerators': [[1, 0], [192, 1]], 'hecke_ring_numerators': [[1, 0], [-192, 384]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '64.22.a.h', 'level': 64, 'maxp': 2999, 'weight': 22}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[2, -1]], 21, 9], [[[2, 1]], 20, 8]], 'ALdims': [20, 21], 'Nk2': 30976, 'analytic_conductor': 178.86550034371973, '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': [64, 1, [63, 5], [1, 1]], 'conrey_index': 1, 'cusp_dim': 162, 'dim': 41, 'eis_dim': 12, 'eis_new_dim': 2, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 369098816, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 4, 5, 5, 6], 'label': '64.22.a', 'level': 64, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'mf_dim': 174, 'mf_new_dim': 43, 'num_forms': 17, 'plus_dim': 20, 'prim_orbit_index': 1, 'relative_dim': 41, 'sturm_bound': 176, 'trace_bound': 3, 'trace_display': [0, 0, 2, 0], 'traces': [41, 0, 0, 0, 2, 0, 0, 0, 135984591637, 0, 0, 0, -1065395863654, 0, 0, 0, 3481428994002, 0, 0, 0, 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-3818308595764947346439874080032247234, 0, 0, 0, 48374519915806617306132035278831189248, 0, 0, 0, 1625834159324066660974742829818506048, 0, 0, 0, 17045444040802933145864538911435838468, 0, 0, 0, 3359109026456680777502003571028398208, 0, 0, 0, -35586343994693586695237273134218308224, 0, 0, 0, -3731283209089314714057440520403309422, 0, 0, 0, -21924035491583599476305598445818130304, 0, 0, 0, 6090361896713885256735920290055186688, 0, 0, 0, 37888193349999142895997370057260615242, 0, 0, 0, 12519419464855815665766022896245314880, 0, 0, 0, 29048211412103863548844013163091870210, 0, 0, 0, 162754731908302156178120302757015552, 0, 0, 0, -72682267968066213486976413711358613042, 0, 0, 0, -2696650686396339224476772192916748364, 0, 0, 0, -33192656850515727361752818757991212928, 0, 0, 0, 3983150553403231072965801763888152704, 0, 0, 0, 43442492277532844194785246651022827380, 0, 0, 0, -10085627364526439204836038643485916160, 0, 0, 0, 41128599723139156544496050517964769664, 0, 0, 0, 6145185212072721989853312663478644634, 0, 0, 0, -47550436057239570512875410828027105574, 0, 0, 0, 1143768238902342447052146521437864448, 0, 0, 0, -41097003075961522567625844709202828252, 0, 0, 0, -7805419210997986435505773109289747078, 0, 0, 0, 70098863778231915791947889994786000384, 0, 0, 0, 13712244971584532313916292838454937812, 0, 0, 0, 34788411207860238834203008499370801920, 0, 0, 0, -20723866295397080861256640829899252480, 0, 0, 0, -60746335334587906979474305837504272166, 0, 0, 0, -7647429797414617680148855549619885724, 0, 0, 0, -56859529336323349088427867980810268974, 0, 0, 0], 'weight': 22, '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: 56385
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 8, 'source_is_minimal': False, 'source_label': '64.22.a.h', 'source_level': 64, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '8.22.a.a', 'target_level': 8, 'twist_class_label': '8.22.a.a', 'twist_class_level': 8, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 22}
  • id: 56386
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 8, 'source_is_minimal': False, 'source_label': '64.22.a.h', 'source_level': 64, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '16.22.a.e', 'target_level': 16, 'twist_class_label': '8.22.a.a', 'twist_class_level': 8, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 22}
  • id: 56387
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 8, 'source_is_minimal': False, 'source_label': '64.22.a.h', 'source_level': 64, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '64.22.a.h', 'target_level': 64, 'twist_class_label': '8.22.a.a', 'twist_class_level': 8, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 22}
  • id: 56388
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 8, 'source_is_minimal': False, 'source_label': '64.22.a.h', 'source_level': 64, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '64.22.a.k', 'target_level': 64, 'twist_class_label': '8.22.a.a', 'twist_class_level': 8, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 22}
  • id: 56389
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 8, 'source_is_minimal': False, 'source_label': '64.22.a.h', 'source_level': 64, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '72.22.a.b', 'target_level': 72, 'twist_class_label': '8.22.a.a', 'twist_class_level': 8, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 22}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 210225
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31525197760692288, 'p': 2}
  • id: 210226
    {'charpoly_factorization': [[[-10438573680, 105432, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 3}
  • id: 210227
    {'charpoly_factorization': [[[-4175956569500, 2108140, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 5}
  • id: 210228
    {'charpoly_factorization': [[[-186151101783772608, 444771792, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 7}
  • id: 210229
    {'charpoly_factorization': [[[-2949636775676283866096, -53806403320, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 11}
  • id: 210230
    {'charpoly_factorization': [[[-185929556202944946740348, -490366676932, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 13}
  • id: 210231
    {'charpoly_factorization': [[[-1602407921425784196525500, 6593864672092, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 17}
  • id: 210232
    {'charpoly_factorization': [[[-1681097716586671471373905136, -19302397925320, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 19}
  • id: 210233
    {'charpoly_factorization': [[[30186185006642609312893252672, -409737865776272, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 23}
  • id: 210234
    {'charpoly_factorization': [[[-5663928219024679950923335530684, -2404787522145060, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 29}
  • id: 210235
    {'charpoly_factorization': [[[14566591001721269452501850629120, -8689907170559168, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 31}
  • id: 210236
    {'charpoly_factorization': [[[-32989770483110090500242805042716, -2186204096251860, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 37}
  • id: 210237
    {'charpoly_factorization': [[[1159642763896012565482481814487908, -68178038573558676, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 41}
  • id: 210238
    {'charpoly_factorization': [[[9659744324730488991997865471884048, -264529652266004024, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 43}
  • id: 210239
    {'charpoly_factorization': [[[-25649066091790616845331352824319744, 426494411558622432, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 47}
  • id: 210240
    {'charpoly_factorization': [[[2222195850765831583916673906815086756, -3055980275589518132, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 53}
  • id: 210241
    {'charpoly_factorization': [[[-551756883532585725322258639565555312, -783424997522814424, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 59}
  • id: 210242
    {'charpoly_factorization': [[[5679690236541051054236973766791097540, -7177279049078597092, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 61}
  • id: 210243
    {'charpoly_factorization': [[[-10486428147741971428724879642139913328, -16674123174011538088, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 67}
  • id: 210244
    {'charpoly_factorization': [[[-684458150530562171163887427896820079040, 9448263149848716368, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 71}
  • id: 210245
    {'charpoly_factorization': [[[-3654811955551608188375239537342040043548, 11586140334503007532, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 73}
  • id: 210246
    {'charpoly_factorization': [[[151847467557034910477594457634623258880, -85280702218715897824, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 79}
  • id: 210247
    {'charpoly_factorization': [[[31815724933370318859011604250905718271248, 381814622040086245816, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 83}
  • id: 210248
    {'charpoly_factorization': [[[-21937925494731048892003453235942283432156, 59742932430695979660, 1], 1]], 'hecke_orbit_code': 31525197760692288, 'p': 89}
  • id: 210249
    {'charpoly_factorization': [[[153105130079120052383219207516307789455236, -783394660926711950788, 1], 1]], 'hecke_orbit_code': 31525197760692288, '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': 8, 'label': '64.22.a.h', 'level': 64, 'portrait': 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', 'weight': 22}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 192640000
    {'hecke_orbit_code': 31525197760692288, 'n': 1, 'trace_an': 2}
  • id: 192640001
    {'hecke_orbit_code': 31525197760692288, 'n': 2, 'trace_an': 0}
  • id: 192640002
    {'hecke_orbit_code': 31525197760692288, 'n': 3, 'trace_an': -105432}
  • id: 192640003
    {'hecke_orbit_code': 31525197760692288, 'n': 4, 'trace_an': 0}
  • id: 192640004
    {'hecke_orbit_code': 31525197760692288, 'n': 5, 'trace_an': -2108140}
  • id: 192640005
    {'hecke_orbit_code': 31525197760692288, 'n': 6, 'trace_an': 0}
  • id: 192640006
    {'hecke_orbit_code': 31525197760692288, 'n': 7, 'trace_an': -444771792}
  • id: 192640007
    {'hecke_orbit_code': 31525197760692288, 'n': 8, 'trace_an': 0}
  • id: 192640008
    {'hecke_orbit_code': 31525197760692288, 'n': 9, 'trace_an': 11072347578}
  • id: 192640009
    {'hecke_orbit_code': 31525197760692288, 'n': 10, 'trace_an': 0}
  • id: 192640010
    {'hecke_orbit_code': 31525197760692288, 'n': 11, 'trace_an': 53806403320}
  • id: 192640011
    {'hecke_orbit_code': 31525197760692288, 'n': 12, 'trace_an': 0}
  • id: 192640012
    {'hecke_orbit_code': 31525197760692288, 'n': 13, 'trace_an': 490366676932}
  • id: 192640013
    {'hecke_orbit_code': 31525197760692288, 'n': 14, 'trace_an': 0}
  • id: 192640014
    {'hecke_orbit_code': 31525197760692288, 'n': 15, 'trace_an': 639834721680}
  • id: 192640015
    {'hecke_orbit_code': 31525197760692288, 'n': 16, 'trace_an': 0}
  • id: 192640016
    {'hecke_orbit_code': 31525197760692288, 'n': 17, 'trace_an': -6593864672092}
  • id: 192640017
    {'hecke_orbit_code': 31525197760692288, 'n': 18, 'trace_an': 0}
  • id: 192640018
    {'hecke_orbit_code': 31525197760692288, 'n': 19, 'trace_an': 19302397925320}
  • id: 192640019
    {'hecke_orbit_code': 31525197760692288, 'n': 20, 'trace_an': 0}
  • id: 192640020
    {'hecke_orbit_code': 31525197760692288, 'n': 21, 'trace_an': 135055584824256}
  • id: 192640021
    {'hecke_orbit_code': 31525197760692288, 'n': 22, 'trace_an': 0}
  • id: 192640022
    {'hecke_orbit_code': 31525197760692288, 'n': 23, 'trace_an': 409737865776272}
  • id: 192640023
    {'hecke_orbit_code': 31525197760692288, 'n': 24, 'trace_an': 0}
  • id: 192640024
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  • id: 192640999
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