Newform data - 242.10.a.e

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• 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': 24200, 'analytic_conductor': 124.63867235165729, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [11, -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': [242, 1, [123], [1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 2, 'field_disc': 889, 'field_disc_factorization': [[7, 1], [127, 1]], 'field_poly': [-222, -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, [-17892, 21, 1]], [7, [-10178000, -7490, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18014398677254386, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], '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': '242.10.a.e', 'level': 242, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 11], 'level_radical': 22, 'minimal_twist': '22.10.a.d', 'nf_label': '2.2.889.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2^{4}q^{2}+(-6-9\\beta )q^{3}+2^{8}q^{4}+(-212+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '242.10.a', 'trace_display': [32, -21, -521, 7490], 'trace_hash': 71585833407216482, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.924', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.118', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.434', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.951', 'prec': 17}, {'__RealLiteral__': 0, 'data': '67.273', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, 32, -21, 512, -521, -336, 7490, 8192, -3141, -8336, 0, -5376, -150314, 119840, 393519, 131072, -690472, -50256, -511212, -133376, -1398810, 0, 874751, -86016, 411771, -2405024, -309771, 1917440, 2951058, 6296304, -5818705, 2097152, 0, -11047552, -16179590, -804096, 2658905, -8179392, -381948, -2134016, -13427994, -22380960, 17820762, 0, -7330788, 13996016, 56044104, -1376256, -4251114, 6588336, -18401250, -38480384, 96842752, -4956336, 0, 30679040, -141898680, 47216928, -119136183, 100740864, 90424326, -93099280, 15960420, 33554432, 18029712, 0, -295944891, -176760832, -187843215, -258873440, -322953267, -12865536, 255975514, 42542480, -206496864, -130870272, 0, -6111168, 889658, -34144256, -692205750, -214847904, 277699042, -358095360, -96595042, 285132192, -1040096232, 0, 1363672217, -117292608, -491050280, 223936256, 1530132009, 896705664, 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394548135638040, -2506860664713216], 'weight': 10, 'weight_parity': 1}
• 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], [16, 0], [-6, -9], [256, 0], [-212, -97], [-96, -144], [3580, 330], [4096, 0], [-1665, 189], [-3392, -1552], [0, 0], [-1536, -2304], [-75402, 490], [57280, 5280], [195078, 3363], [65536, 0], [-348442, 6412], [-26640, 3024], [-274012, 36812], [-54272, -24832], [-680820, -37170], [0, 0], [415046, 44659], [-24576, -36864], [180617, 50537], [-1206432, 7840], [-249534, 189297], [916480, 84480], [1349406, 252246], [3121248, 53808], [-2725746, -367213], [1048576, 0], [0, 0], [-5575072, 102592], [-7865180, -449230], [-426240, 48384], [1127664, 403577], [-4384192, 588992], [-526608, 671268], [-868352, -397312], [-6599574, -228846], [-10893120, -594720], [8349464, 1121834], [0, 0], [-3716946, 103104], [6640736, 714544], [26986464, 2071176], [-393216, -589824], [-3361407, 2471700], [2889872, 808592], [-10720524, 3039798], [-19302912, 125440], [47131774, 2579204], [-3992544, 3028752], [0, 0], [14663680, 1351680], [-71906304, 1913928], [21590496, 4035936], [-55451730, -8232723], [49939968, 860928], [50823782, -11223238], [-43611936, -5875408], [7885440, 189540], [16777216, 0], [5433564, 7162584], [0, 0], [-150652850, 5360809], [-89201152, 1641472], [-91718958, -4405299], [-125842880, -7187680], [-161279694, -393879], [-6819840, 774144], [127189170, 1597174], [18042624, 6457232], [-102056628, -2383608], [-70147072, 9423872], [0, 0], [-8425728, 10740288], [10378372, -19867086], [-13893632, -6356992], [-343946007, -4313736], [-105593184, -3661536], [158970976, -40242910], [-174289920, -9515520], [-64206304, 31817566], [133591424, 17949344], [-512083944, -15928344], [0, 0], [689154740, -14637263], [-59471136, 1649664], [-234041760, -22966760], [106251776, 11432704], [750046050, 30039909], [431783424, 33138816], [-734619064, 15204256], [-6291456, -9437184], [719083840, -39733637], [-53782512, 39547200], [0, 0], [46237952, 12937472]], 'ap': [[16, 0], [-6, -9], [-212, -97], [3580, 330], [0, 0], [-75402, 490], [-348442, 6412], [-274012, 36812], [415046, 44659], [1349406, 252246], [-2725746, -367213], [1127664, 403577], [-6599574, -228846], [8349464, 1121834], [26986464, 2071176], [47131774, 2579204], [-55451730, -8232723], [50823782, -11223238], [-150652850, 5360809], [-161279694, -393879], [127189170, 1597174], [10378372, -19867086], [158970976, -40242910], [689154740, -14637263], [719083840, -39733637], [-1422258766, 2378236], [-1714567752, 17013944], [-1011679112, -28043494], [-656947686, -125246444], [417666736, 46621163], [1649493216, 105723280], [95879608, -123730090], [1724694712, -319175005], [4444451176, -234544926], [-4131877414, -305482088], [-3183634156, 599572622], [343284740, -230885601], [-5128193756, 550579168], [-4866269232, -418889652], [-15860736838, 224078020], [-18936006098, 70170113], [8794873672, 1180197613], [-2683681470, -1050535131], [7082615834, 603209894], [-9150387062, 2160431816], [16610491160, -1082572872], [-21644450372, -765776664], [-19359106938, 122044031], [12398841072, 490418898], [-49596868696, 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[60837501881880, 272873131874280]], 'char_orbit_index': 1, 'field_poly': [-222, -1, 1], 'hecke_orbit_code': 18014398677254386, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '242.10.a.e', 'level': 242, 'maxp': 2999, 'weight': 10}
• 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], [11, 1]], 20, 3], [[[2, -1], [11, -1]], 19, 5], [[[2, 1], [11, -1]], 21, 7], [[[2, -1], [11, 1]], 22, 3]], 'ALdims': [20, 21, 22, 19], 'Nk2': 24200, 'analytic_conductor': 124.63867235165729, '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': [242, 1, [123], [1]], 'conrey_index': 1, 'cusp_dim': 285, 'dim': 82, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 167772402, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 3, 3, 4, 4, 4, 4, 8, 8, 8, 8, 10, 10], 'label': '242.10.a', 'level': 242, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 11], 'level_radical': 22, 'mf_dim': 309, 'mf_new_dim': 82, 'num_forms': 18, 'plus_dim': 39, 'prim_orbit_index': 1, 'relative_dim': 82, 'sturm_bound': 330, 'trace_bound': 3, 'trace_display': [0, -6, -1178, 1180], 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• 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: 193999
    {'conductor': 11, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '242.10.a.e', 'source_level': 242, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '22.10.a.d', 'target_level': 22, 'twist_class_label': '22.10.a.d', 'twist_class_level': 22, 'twisting_char_label': '11.b', 'twisting_char_orbit': 2, 'weight': 10}
  • id: 194000
    {'conductor': 44, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '242.10.a.e', 'source_level': 242, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '176.10.a.e', 'target_level': 176, 'twist_class_label': '22.10.a.d', 'twist_class_level': 22, 'twisting_char_label': '44.c', 'twisting_char_orbit': 3, 'weight': 10}
  • id: 194001
    {'conductor': 33, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '242.10.a.e', 'source_level': 242, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '198.10.a.n', 'target_level': 198, 'twist_class_label': '22.10.a.d', 'twist_class_level': 22, 'twisting_char_label': '33.d', 'twisting_char_orbit': 4, 'weight': 10}
  • id: 194002
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '242.10.a.e', 'source_level': 242, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '242.10.a.e', 'target_level': 242, 'twist_class_label': '22.10.a.d', 'twist_class_level': 22, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 571050
    {'charpoly_factorization': [[[-16, 1], 2]], 'hecke_orbit_code': 18014398677254386, 'p': 2}
  • id: 571051
    {'charpoly_factorization': [[[-17892, 21, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 3}
  • id: 571052
    {'charpoly_factorization': [[[-2023290, 521, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 5}
  • id: 571053
    {'charpoly_factorization': [[[-10178000, -7490, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 7}
  • id: 571054
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 18014398677254386, 'p': 11}
  • id: 571055
    {'charpoly_factorization': [[[5595212424, 150314, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 13}
  • id: 571056
    {'charpoly_factorization': [[[110050366092, 690472, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 17}
  • id: 571057
    {'charpoly_factorization': [[[-235841735968, 511212, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 19}
  • id: 571058
    {'charpoly_factorization': [[[-251963912952, -874751, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 23}
  • id: 571059
    {'charpoly_factorization': [[[-11964147063840, -2951058, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 29}
  • id: 571060
    {'charpoly_factorization': [[[-21505055373504, 5818705, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 31}
  • id: 571061
    {'charpoly_factorization': [[[-34431390323214, -2658905, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 37}
  • id: 571062
    {'charpoly_factorization': [[[33438413932128, 13427994, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 41}
  • id: 571063
    {'charpoly_factorization': [[[-200309296545160, -17820762, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 43}
  • id: 571064
    {'charpoly_factorization': [[[-168165989315712, -56044104, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 47}
  • id: 571065
    {'charpoly_factorization': [[[866157473672220, -96842752, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 53}
  • id: 571066
    {'charpoly_factorization': [[[-11515242521876148, 119136183, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 59}
  • id: 571067
    {'charpoly_factorization': [[[-25950708392093560, -90424326, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 61}
  • id: 571068
    {'charpoly_factorization': [[[15508763423112068, 295944891, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 67}
  • id: 571069
    {'charpoly_factorization': [[[26040223153332360, 322953267, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 71}
  • id: 571070
    {'charpoly_factorization': [[[15813914018141208, -255975514, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 73}
  • id: 571071
    {'charpoly_factorization': [[[-87722122964863520, -889658, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 79}
  • id: 571072
    {'charpoly_factorization': [[[-340652864238905784, -277699042, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 83}
  • id: 571073
    {'charpoly_factorization': [[[417283534562271462, -1363672217, 1], 1]], 'hecke_orbit_code': 18014398677254386, 'p': 89}
  • id: 571074
    {'charpoly_factorization': [[[138024608825014802, -1398434043, 1], 1]], 'hecke_orbit_code': 18014398677254386, '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': 5, 'label': '242.10.a.e', 'level': 242, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 156166000
    {'hecke_orbit_code': 18014398677254386, 'n': 1, 'trace_an': 2}
  • id: 156166001
    {'hecke_orbit_code': 18014398677254386, 'n': 2, 'trace_an': 32}
  • id: 156166002
    {'hecke_orbit_code': 18014398677254386, 'n': 3, 'trace_an': -21}
  • id: 156166003
    {'hecke_orbit_code': 18014398677254386, 'n': 4, 'trace_an': 512}
  • id: 156166004
    {'hecke_orbit_code': 18014398677254386, 'n': 5, 'trace_an': -521}
  • id: 156166005
    {'hecke_orbit_code': 18014398677254386, 'n': 6, 'trace_an': -336}
  • id: 156166006
    {'hecke_orbit_code': 18014398677254386, 'n': 7, 'trace_an': 7490}
  • id: 156166007
    {'hecke_orbit_code': 18014398677254386, 'n': 8, 'trace_an': 8192}
  • id: 156166008
    {'hecke_orbit_code': 18014398677254386, 'n': 9, 'trace_an': -3141}
  • id: 156166009
    {'hecke_orbit_code': 18014398677254386, 'n': 10, 'trace_an': -8336}
  • id: 156166010
    {'hecke_orbit_code': 18014398677254386, 'n': 11, 'trace_an': 0}
  • id: 156166011
    {'hecke_orbit_code': 18014398677254386, 'n': 12, 'trace_an': -5376}
  • id: 156166012
    {'hecke_orbit_code': 18014398677254386, 'n': 13, 'trace_an': -150314}
  • id: 156166013
    {'hecke_orbit_code': 18014398677254386, 'n': 14, 'trace_an': 119840}
  • id: 156166014
    {'hecke_orbit_code': 18014398677254386, 'n': 15, 'trace_an': 393519}
  • id: 156166015
    {'hecke_orbit_code': 18014398677254386, 'n': 16, 'trace_an': 131072}
  • id: 156166016
    {'hecke_orbit_code': 18014398677254386, 'n': 17, 'trace_an': -690472}
  • id: 156166017
    {'hecke_orbit_code': 18014398677254386, 'n': 18, 'trace_an': -50256}
  • id: 156166018
    {'hecke_orbit_code': 18014398677254386, 'n': 19, 'trace_an': -511212}
  • id: 156166019
    {'hecke_orbit_code': 18014398677254386, 'n': 20, 'trace_an': -133376}
  • id: 156166020
    {'hecke_orbit_code': 18014398677254386, 'n': 21, 'trace_an': -1398810}
  • id: 156166021
    {'hecke_orbit_code': 18014398677254386, 'n': 22, 'trace_an': 0}
  • id: 156166022
    {'hecke_orbit_code': 18014398677254386, 'n': 23, 'trace_an': 874751}
  • id: 156166023
    {'hecke_orbit_code': 18014398677254386, 'n': 24, 'trace_an': -86016}
  • id: 156166024
    {'hecke_orbit_code': 18014398677254386, 'n': 25, 'trace_an': 411771}
  • id: 156166025
    {'hecke_orbit_code': 18014398677254386, 'n': 26, 'trace_an': -2405024}
  • id: 156166026
    {'hecke_orbit_code': 18014398677254386, 'n': 27, 'trace_an': -309771}
  • id: 156166027
    {'hecke_orbit_code': 18014398677254386, 'n': 28, 'trace_an': 1917440}
  • id: 156166028
    {'hecke_orbit_code': 18014398677254386, 'n': 29, 'trace_an': 2951058}
  • id: 156166029
    {'hecke_orbit_code': 18014398677254386, 'n': 30, 'trace_an': 6296304}
  • id: 156166030
    {'hecke_orbit_code': 18014398677254386, 'n': 31, 'trace_an': -5818705}
  • id: 156166031
    {'hecke_orbit_code': 18014398677254386, 'n': 32, 'trace_an': 2097152}
  • id: 156166032
    {'hecke_orbit_code': 18014398677254386, 'n': 33, 'trace_an': 0}
  • id: 156166033
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