Embedded newform data - 50.26.a.b.1.1

Formats: - HTML - YAML - JSON - 2025-07-13T20:58:27.147428

• 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': 33800, 'analytic_conductor': 197.99838997612162, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -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': [50, 1, [27], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [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': [[3, [97956, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503600063578162, 'hecke_ring_generator_nbound': 1, '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_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '50.26.a.b', 'level': 50, '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': [2, 5], 'level_radical': 10, 'minimal_twist': '2.26.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2^{12}q^{2}-97956q^{3}+2^{24}q^{4}-401227776q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '25.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '50.26.a', 'trace_display': [4096, -97956, 0, 40882637368], 'trace_hash': 1746241109928744165, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.007', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.997', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.015', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.001', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.000', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 4096, -97956, 16777216, 0, -401227776, 40882637368, 68719476736, -837693231507, 0, -14506222377108, -1643428970496, -87843989537006, 167455282659328, 0, 281474976710656, 2655425868886638, -3431191476252672, -13999424704097740, 0, -4004699626019808, -59417486856634368, -85852780724035416, -6731485063151616, 0, -359808981143576576, 165054081212098200, 685896837772607488, 2080230429601526910, 0, 2663532371302675232, 1152921504606846976, 1420971519171991248, 10876624358959669248, 0, -14054160286730944512, 51379607980315436218, -57341643587984343040, 8604845839086959736, 0, 233559807284225330922, -16403249668177133568, 40133597094729613684, -243374026164774371328, 0, -351652989845649063936, -279826395037007620272, -27572162818669019136, 330321418499425066617, 0, -260114896412659511928, -1473777586764089655296, -425070456489000653526, 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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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-0.33756853878105264, -0.1567979929879613, -0.3792045111152927, -0.3169632405726845, -0.15809550268893752, -0.20089340905108255, -0.13914316732608906, -0.10019532423368517, -0.23779977209274303, -0.2781005206706956, -0.25946364936502914, -0.29934338264044247, -0.15034587454118864, -0.059513634091433634, -0.3046173113036801, -0.2664681669411849, -0.38902832302390317, -0.25073409753295983, -0.11184865869222989, -0.14077307221051125, -0.19789030473740102, -0.33826361558911344, -0.2285175158633737, -0.29566872275207556, -0.16700985304260174, -0.248531435570007, -0.2878909922080593, -0.18059304264007042, -0.2551992798667474, -0.18730750415143027, -0.26223354974206614, -0.22634412646594423, -0.10131341301820716, -0.3009218226234151, -0.20963577838398054, -0.28881726129534674, -0.28055320535069017, -0.34294724091325557, -0.24192759423289711, -0.21919487669680793, -0.20195349443696758, -0.19735094635450467, -0.08841155719081534, -0.2580838843249275, -0.09616633991690732, -0.22722001318720073, 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-0.4048011170546006, -0.2843925466718316, -0.33434716077644705, -0.19545092945114867, -0.11599604903509379, -0.11884737725027987, -0.24146460199746217, -0.26893559382280097, -0.14830655762638298, -0.24870282322724438, -0.15651898043755996, -0.2590766370920832, -0.18929170238700604, -0.21186924018918998, -0.32639974648212244, -0.28272620190762193, -0.39417058938098726, -0.3642594494916227, -0.24536207938897786, -0.2707884490942782, -0.2698470509572789, -0.1405423905960819, -0.2571702622537786, -0.22200203905781002, -0.30884706815303986], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 2, 'hecke_orbit_code': 4503600063578162, 'label': '50.26.a.b.1.1', 'level': 50, 'weight': 26}
• 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': [9, 11, 10, 10], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [3, 3, 3, 3], 'ALdims_old': [35, 35, 36, 35], 'Nk2': 33800, 'analytic_conductor': 197.99838997612162, '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': [50, 1, [27], [1]], 'conrey_index': 1, 'cusp_dim': 181, 'dim': 40, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 436207666, 'hecke_orbit_dims': [1, 1, 2, 2, 2, 2, 4, 4, 5, 5, 6, 6], 'label': '50.26.a', 'level': 50, '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': [2, 5], 'level_radical': 10, 'mf_dim': 193, 'mf_new_dim': 40, 'num_forms': 12, 'plus_dim': 19, 'prim_orbit_index': 1, 'relative_dim': 40, 'sturm_bound': 195, 'trace_bound': 3, 'trace_display': [0, -650200, 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

  
  
  • id: 34490620
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503600063578162, 'source_is_minimal': False, 'source_label': '50.26.a.b.1.1', 'source_level': 50, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503600063578162, 'target_is_minimal': False, 'target_label': '50.26.a.b.1.1', 'target_level': 50, 'twist_class_label': '2.26.a.a.1.1', 'twist_class_level': 2, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 26}
  • id: 34490621
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503600063578162, 'source_is_minimal': False, 'source_label': '50.26.a.b.1.1', 'source_level': 50, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 69155684402, 'target_is_minimal': False, 'target_label': '50.26.b.a.49.2', 'target_level': 50, 'twist_class_label': '2.26.a.a.1.1', 'twist_class_level': 2, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 26}
  • id: 34490622
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503600063578162, 'source_is_minimal': False, 'source_label': '50.26.a.b.1.1', 'source_level': 50, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 69155684402, 'target_is_minimal': False, 'target_label': '50.26.b.a.49.1', 'target_level': 50, 'twist_class_label': '2.26.a.a.1.1', 'twist_class_level': 2, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 26}
  • id: 34490623
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503600063578162, 'source_is_minimal': False, 'source_label': '50.26.a.b.1.1', 'source_level': 50, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 436207618, 'target_is_minimal': True, 'target_label': '2.26.a.a.1.1', 'target_level': 2, 'twist_class_label': '2.26.a.a.1.1', 'twist_class_level': 2, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 26}
  • id: 34490624
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503600063578162, 'source_is_minimal': False, 'source_label': '50.26.a.b.1.1', 'source_level': 50, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199690948626, 'target_is_minimal': False, 'target_label': '18.26.a.c.1.1', 'target_level': 18, 'twist_class_label': '2.26.a.a.1.1', 'twist_class_level': 2, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 26}
  • id: 34490625
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503600063578162, 'source_is_minimal': False, 'source_label': '50.26.a.b.1.1', 'source_level': 50, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 436207632, 'target_is_minimal': False, 'target_label': '16.26.a.a.1.1', 'target_level': 16, 'twist_class_label': '2.26.a.a.1.1', 'twist_class_level': 2, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 26}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 174200
    {'charpoly_factorization': [[[-4096, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 2}
  • id: 174201
    {'charpoly_factorization': [[[97956, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 3}
  • id: 174202
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 5}
  • id: 174203
    {'charpoly_factorization': [[[-40882637368, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 7}
  • id: 174204
    {'charpoly_factorization': [[[14506222377108, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 11}
  • id: 174205
    {'charpoly_factorization': [[[87843989537006, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 13}
  • id: 174206
    {'charpoly_factorization': [[[-2655425868886638, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 17}
  • id: 174207
    {'charpoly_factorization': [[[13999424704097740, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 19}
  • id: 174208
    {'charpoly_factorization': [[[85852780724035416, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 23}
  • id: 174209
    {'charpoly_factorization': [[[-2080230429601526910, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 29}
  • id: 174210
    {'charpoly_factorization': [[[-2663532371302675232, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 31}
  • id: 174211
    {'charpoly_factorization': [[[-51379607980315436218, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 37}
  • id: 174212
    {'charpoly_factorization': [[[-233559807284225330922, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 41}
  • id: 174213
    {'charpoly_factorization': [[[-40133597094729613684, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 43}
  • id: 174214
    {'charpoly_factorization': [[[279826395037007620272, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 47}
  • id: 174215
    {'charpoly_factorization': [[[425070456489000653526, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 53}
  • id: 174216
    {'charpoly_factorization': [[[8338905271550069098980, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 59}
  • id: 174217
    {'charpoly_factorization': [[[-24297948469063188136862, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 61}
  • id: 174218
    {'charpoly_factorization': [[[-124700073335102453318428, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 67}
  • id: 174219
    {'charpoly_factorization': [[[93048982696907739984888, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 71}
  • id: 174220
    {'charpoly_factorization': [[[40421798466182077528586, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 73}
  • id: 174221
    {'charpoly_factorization': [[[805270113539155989394480, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 79}
  • id: 174222
    {'charpoly_factorization': [[[8983348403447711887476, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 83}
  • id: 174223
    {'charpoly_factorization': [[[-3556004636909897335022490, 1], 1]], 'hecke_orbit_code': 4503600063578162, 'p': 89}
  • id: 174224
    {'charpoly_factorization': [[[-8660489591283862898255518, 1], 1]], 'hecke_orbit_code': 4503600063578162, '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': 2, 'label': '50.26.a.b', 'level': 50, 'portrait': 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', 'weight': 26}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 20052600
    {'hecke_orbit_code': 4503600063578162, 'n': 1, 'trace_an': 1}
  • id: 20052601
    {'hecke_orbit_code': 4503600063578162, 'n': 2, 'trace_an': 4096}
  • id: 20052602
    {'hecke_orbit_code': 4503600063578162, 'n': 3, 'trace_an': -97956}
  • id: 20052603
    {'hecke_orbit_code': 4503600063578162, 'n': 4, 'trace_an': 16777216}
  • id: 20052604
    {'hecke_orbit_code': 4503600063578162, 'n': 5, 'trace_an': 0}
  • id: 20052605
    {'hecke_orbit_code': 4503600063578162, 'n': 6, 'trace_an': -401227776}
  • id: 20052606
    {'hecke_orbit_code': 4503600063578162, 'n': 7, 'trace_an': 40882637368}
  • id: 20052607
    {'hecke_orbit_code': 4503600063578162, 'n': 8, 'trace_an': 68719476736}
  • id: 20052608
    {'hecke_orbit_code': 4503600063578162, 'n': 9, 'trace_an': -837693231507}
  • id: 20052609
    {'hecke_orbit_code': 4503600063578162, 'n': 10, 'trace_an': 0}
  • id: 20052610
    {'hecke_orbit_code': 4503600063578162, 'n': 11, 'trace_an': -14506222377108}
  • id: 20052611
    {'hecke_orbit_code': 4503600063578162, 'n': 12, 'trace_an': -1643428970496}
  • id: 20052612
    {'hecke_orbit_code': 4503600063578162, 'n': 13, 'trace_an': -87843989537006}
  • id: 20052613
    {'hecke_orbit_code': 4503600063578162, 'n': 14, 'trace_an': 167455282659328}
  • id: 20052614
    {'hecke_orbit_code': 4503600063578162, 'n': 15, 'trace_an': 0}
  • id: 20052615
    {'hecke_orbit_code': 4503600063578162, 'n': 16, 'trace_an': 281474976710656}
  • id: 20052616
    {'hecke_orbit_code': 4503600063578162, 'n': 17, 'trace_an': 2655425868886638}
  • id: 20052617
    {'hecke_orbit_code': 4503600063578162, 'n': 18, 'trace_an': -3431191476252672}
  • id: 20052618
    {'hecke_orbit_code': 4503600063578162, 'n': 19, 'trace_an': -13999424704097740}
  • id: 20052619
    {'hecke_orbit_code': 4503600063578162, 'n': 20, 'trace_an': 0}
  • id: 20052620
    {'hecke_orbit_code': 4503600063578162, 'n': 21, 'trace_an': -4004699626019808}
  • id: 20052621
    {'hecke_orbit_code': 4503600063578162, 'n': 22, 'trace_an': -59417486856634368}
  • id: 20052622
    {'hecke_orbit_code': 4503600063578162, 'n': 23, 'trace_an': -85852780724035416}
  • id: 20052623
    {'hecke_orbit_code': 4503600063578162, 'n': 24, 'trace_an': -6731485063151616}
  • id: 20052624
    {'hecke_orbit_code': 4503600063578162, 'n': 25, 'trace_an': 0}
  • id: 20052625
    {'hecke_orbit_code': 4503600063578162, 'n': 26, 'trace_an': -359808981143576576}
  • id: 20052626
    {'hecke_orbit_code': 4503600063578162, 'n': 27, 'trace_an': 165054081212098200}
  • id: 20052627
    {'hecke_orbit_code': 4503600063578162, 'n': 28, 'trace_an': 685896837772607488}
  • id: 20052628
    {'hecke_orbit_code': 4503600063578162, 'n': 29, 'trace_an': 2080230429601526910}
  • id: 20052629
    {'hecke_orbit_code': 4503600063578162, 'n': 30, 'trace_an': 0}
  • id: 20052630
    {'hecke_orbit_code': 4503600063578162, 'n': 31, 'trace_an': 2663532371302675232}
  • id: 20052631
    {'hecke_orbit_code': 4503600063578162, 'n': 32, 'trace_an': 1152921504606846976}
  • id: 20052632
    {'hecke_orbit_code': 4503600063578162, 'n': 33, 'trace_an': 1420971519171991248}
  • id: 20052633
    {'hecke_orbit_code': 4503600063578162, 'n': 34, 'trace_an': 10876624358959669248}
  • id: 20052634
    {'hecke_orbit_code': 4503600063578162, 'n': 35, 'trace_an': 0}
  • id: 20052635
    {'hecke_orbit_code': 4503600063578162, 'n': 36, 'trace_an': -14054160286730944512}
  • id: 20052636
    {'hecke_orbit_code': 4503600063578162, 'n': 37, 'trace_an': 51379607980315436218}
  • id: 20052637
    {'hecke_orbit_code': 4503600063578162, 'n': 38, 'trace_an': -57341643587984343040}
  • id: 20052638
    {'hecke_orbit_code': 4503600063578162, 'n': 39, 'trace_an': 8604845839086959736}
  • id: 20052639
    {'hecke_orbit_code': 4503600063578162, 'n': 40, 'trace_an': 0}
  • id: 20052640
    {'hecke_orbit_code': 4503600063578162, 'n': 41, 'trace_an': 233559807284225330922}
  • id: 20052641
    {'hecke_orbit_code': 4503600063578162, 'n': 42, 'trace_an': -16403249668177133568}
  • id: 20052642
    {'hecke_orbit_code': 4503600063578162, 'n': 43, 'trace_an': 40133597094729613684}
  • id: 20052643
    {'hecke_orbit_code': 4503600063578162, 'n': 44, 'trace_an': -243374026164774371328}
  • id: 20052644
    {'hecke_orbit_code': 4503600063578162, 'n': 45, 'trace_an': 0}
  • id: 20052645
    {'hecke_orbit_code': 4503600063578162, 'n': 46, 'trace_an': -351652989845649063936}
  • id: 20052646
    {'hecke_orbit_code': 4503600063578162, 'n': 47, 'trace_an': -279826395037007620272}
  • id: 20052647
    {'hecke_orbit_code': 4503600063578162, 'n': 48, 'trace_an': -27572162818669019136}
  • id: 20052648
    {'hecke_orbit_code': 4503600063578162, 'n': 49, 'trace_an': 330321418499425066617}
  • id: 20052649
    {'hecke_orbit_code': 4503600063578162, 'n': 50, 'trace_an': 0}
  • id: 20052650
    {'hecke_orbit_code': 4503600063578162, 'n': 51, 'trace_an': -260114896412659511928}
  • id: 20052651
    {'hecke_orbit_code': 4503600063578162, 'n': 52, 'trace_an': -1473777586764089655296}
  • id: 20052652
    {'hecke_orbit_code': 4503600063578162, 'n': 53, 'trace_an': -425070456489000653526}
  • id: 20052653
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  • id: 20052815
    {'hecke_orbit_code': 4503600063578162, 'n': 727, 'trace_an': 449932655634115685446322677372521448}
  • id: 20052816
    {'hecke_orbit_code': 4503600063578162, 'n': 729, 'trace_an': -567324943910674850867942702506135707}
  • id: 20052817
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  • id: 20052818
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  • id: 20052819
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  • id: 20052820
    {'hecke_orbit_code': 4503600063578162, 'n': 751, 'trace_an': 631220412777851046127166778861948272}
  • id: 20052821
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  • id: 20052822
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  • id: 20052823
    {'hecke_orbit_code': 4503600063578162, 'n': 769, 'trace_an': -1596778793757252751370509532000654590}
  • id: 20052824
    {'hecke_orbit_code': 4503600063578162, 'n': 773, 'trace_an': -1267638237568798283776524922504331046}
  • id: 20052825
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  • id: 20052826
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  • id: 20052827
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  • id: 20052828
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  • id: 20052829
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  • id: 20052830
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  • id: 20052831
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  • id: 20052832
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  • id: 20052833
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  • id: 20052834
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  • id: 20052835
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  • id: 20052836
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  • id: 20052837
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  • id: 20052838
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  • id: 20052839
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  • id: 20052840
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  • id: 20052841
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  • id: 20052842
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  • id: 20052843
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  • id: 20052844
    {'hecke_orbit_code': 4503600063578162, 'n': 911, 'trace_an': 7342680123479141994420549153031060752}
  • id: 20052845
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  • id: 20052846
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  • id: 20052847
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  • id: 20052848
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  • id: 20052849
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  • id: 20052850
    {'hecke_orbit_code': 4503600063578162, 'n': 953, 'trace_an': 1009561927219828424227956029492379654}
  • id: 20052851
    {'hecke_orbit_code': 4503600063578162, 'n': 961, 'trace_an': -12138387796954106136081831558701616927}
  • id: 20052852
    {'hecke_orbit_code': 4503600063578162, 'n': 967, 'trace_an': -5415359125053291093577016314160694152}
  • id: 20052853
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  • id: 20052854
    {'hecke_orbit_code': 4503600063578162, 'n': 977, 'trace_an': 30015470089118745302293650560629453998}
  • id: 20052855
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  • id: 20052856
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  • id: 20052857
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