Newform data - 10.22.a.c

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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
  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': 4840, 'analytic_conductor': 27.94773442870621, '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': [10, 1, [7], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 474529, 'field_disc_factorization': [[11, 1], [179, 1], [241, 1]], 'field_poly': [-118632, -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, [-18411305184, -100308, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199623839754, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 420, 'hecke_ring_index_factorization': [[2, 2], [3, 1], [5, 1], [7, 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': '10.22.a.c', 'level': 10, '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, 5], 'level_radical': 10, 'minimal_twist': '10.22.a.c', 'nf_label': '2.2.474529.1', 'prim_orbit_index': 1, 'qexp_display': 'q-2^{10}q^{2}+(50154-\\beta )q^{3}+2^{20}q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '21.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '10.22.a', 'trace_display': [-2048, 100308, 19531250, 1328895316], 'trace_hash': 1148718066319125275, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.948', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.240', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.691', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.588', 'prec': 17}, {'__RealLiteral__': 0, 'data': '67.408', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, -2048, 100308, 2097152, 19531250, -102715392, 1328895316, -2147483648, 25963598826, -20000000000, 21869194224, 105180561408, -412060138772, -1360788803584, 979570312500, 2199023255552, -11074763456364, -26586725197824, -52072861011560, 20480000000000, 153160512951264, -22394054885376, 80988875151948, -107704894881792, 190734863281250, 421949582102528, 4451157871435080, 1393447734870016, 264315081456060, -1003080000000000, 2126016880188664, -2251799813685248, 15607337679454896, 11340557779316736, 12977493320312500, 27224806602571776, -9721711577644724, 53322609675837440, 54142908513242712, -20971520000000000, 221161031209870884, -156836365262094336, -43823174002198412, 22931512202625024, 253550769785156250, -82932608155594752, 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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], [-1024, 0], [50154, -1], [1048576, 0], [9765625, 0], [-51357696, 1024], [664447658, -2067], [-1073741824, 0], [12981799413, -100308], [-10000000000, 0], [10934597112, -346698], [52590280704, -1048576], [-206030069386, -1787412], [-680394401792, 2116608], [489785156250, -9765625], [1099511627776, 0], [-5537381728182, 39959052], [-13293362598912, 102715392], [-26036430505780, 133329492], [10240000000000, 0], [76580256475632, -768115976], [-11197027442688, 355018752], [40494437575974, -1428146421], [-53852447440896, 1073741824], [95367431640625, 0], [210974791051264, 1830309888], [2225578935717540, -7552293642], [696723867435008, -2167406592], [132157540728030, 18798068664], [-501540000000000, 10000000000], [1063008440094332, 16721994774], [-1125899906842624, 0], [7803668839727448, -28322888604], [5670278889658368, -40918069248], [6488746660156250, -20185546875], [13612403301285888, -105180561408], [-4860855788822362, 60355938072], [26661304837918720, -136529399808], [27071454256621356, 116384207938], [-10485760000000000, 0], [110580515604935442, 299545931076], [-78418182631047168, 786550759424], [-21911587001099206, 104745010227], [11465756101312512, -363539202048], [126775384892578125, -979570312500], [-41466304077797376, 1462421935104], [103027038603990498, -1480395596667], [55144906179477504, -1099511627776], [-27645954830366943, -2746826618172], [-97656250000000000, 0], [-1113934091500242828, 7541488022190], [-216038186036494336, -1874237325312], [-306217685509355346, -12133963390332], [-2278992830174760960, 7733548689408], [106783174921875000, -3385722656250], [-713445240253448192, 2219424350208], [-4095981269045608920, 32723437847548], [-135329321705502720, -19249222311936], [2376104147144928060, 23957233216728], [513576960000000000, -10240000000000], [2374059519147843662, 17513788281648], [-1088520642656595968, -17123322648576], [12964603789203605154, -93482795065335], [1152921504606846976, 0], [-2012012396347656250, -17455195312500], [-7990956891880906752, 29002637930496], [11150962856541382718, 16855570323009], [-5806365583010168832, 41900102909952], [31917391003957666896, -112121693174808], [-6644476580000000000, 20670000000000], [1100517641743130772, 219721017890718], [-13939100980516749312, 107704894881792], [28074747230237326274, 30593004462588], [4977516327754098688, -61804480585728], [4783058166503906250, -95367431640625], [-27301176154028769280, 139806105403392], [22262079643349901096, -252964486363788], [-27721169158780268544, -119177428928512], [-21191353088176067320, 500094340810572], [10737418240000000000, 0], [133872280490827085121, -1555099561951884], [-113234447979453892608, -306735033421824], [667671963001586634, 1393069446977415], [80300219014192300032, -805427977650176], [-54075993439277343750, 390225117187500], [22437465089125586944, -107258890472448], [-386753857477439572980, 810640795046226], [-11740934247744012288, 372264142897152], [127869914293128750090, 617437194794760], [-129817994130000000000, 1003080000000000], [-59580710381998942388, -761777563860234], [42461495375664513024, -1497520061546496], [-296622525998223641472, -224333514199136], [-105499687530486269952, 1515925090987008], [-254262016658007812500, 1302045820312500], [-56468383927784964096, 1125899906842624], [-789711490170392618902, -1680811823313900], [28309457746295749632, 2812750457008128], [869710870544474132856, -5597591459998770], [100000000000000000000, 0]], 'ap': [[-1024, 0], [50154, -1], [9765625, 0], [664447658, -2067], [10934597112, -346698], [-206030069386, -1787412], [-5537381728182, 39959052], [-26036430505780, 133329492], [40494437575974, -1428146421], [132157540728030, 18798068664], [1063008440094332, 16721994774], [-4860855788822362, 60355938072], [110580515604935442, 299545931076], [-21911587001099206, 104745010227], [103027038603990498, -1480395596667], [-306217685509355346, -12133963390332], [2376104147144928060, 23957233216728], [2374059519147843662, 17513788281648], [11150962856541382718, 16855570323009], [1100517641743130772, 219721017890718], [28074747230237326274, 30593004462588], [-21191353088176067320, 500094340810572], [667671963001586634, 1393069446977415], [127869914293128750090, 617437194794760], [-789711490170392618902, -1680811823313900], [443471103430414848102, -9865526229654744], [70961023450470332654, 6459548783067255], [-184648705704597285042, 24002383787270229], [941346078627280651310, 10931024332100616], [-1116873070656369015486, -11986273840598136], [-6328016090966977516222, 53314558041883149], [7113198022268094979032, -91439826002551254], [14784375451106285940138, 109810628805757728], [22118677804997156604140, -133689238353180312], [105610525319257922462550, 65322192840938040], [-102666197237988620446348, 72074553402039270], [-30393848131514236581442, -469851829386196872], [-17153987866811858909086, -1873956402185930565], [-129504901351966155797982, -350448968250558231], [-391875398953847812797426, -425051097353135880], 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[850652206231086570161965046356460178, 18920832953376849402385641497565], [1647939046139140829676414178523159340, -16278021984301629565818342321840], [-907371652746339245936184176208741046, 18498810025211335460530618276944], [717267025448197064263964372205182958, -10156739767635177679229184280392], [975699039090455138581763029528831314, 28382854502450367085008419011803], [-2110775169340297876638750458097553230, -18493987529952155960245512654084], [-462169758758901524861245966576338928, 2239785222280406196787828968714], [-3003704404219984623537616289154520200, -8426939123505580995933416974224]], 'char_orbit_index': 1, 'field_poly': [-118632, -1, 1], 'hecke_orbit_code': 9007199623839754, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1], 'hecke_ring_inverse_denominators': [1, 420], 'hecke_ring_inverse_numerators': [[1, 0], [210, 1]], 'hecke_ring_numerators': [[1, 0], [-210, 420]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '10.22.a.c', 'level': 10, 'maxp': 2999, 'weight': 22}
• 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

  
  {'ALdims': [2, 2, 2, 1], 'Nk2': 4840, 'analytic_conductor': 27.94773442870621, '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': [10, 1, [7], [1]], 'conrey_index': 1, 'cusp_dim': 29, 'dim': 7, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 369098762, 'hecke_orbit_dims': [1, 2, 2, 2], 'label': '10.22.a', 'level': 10, '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, 5], 'level_radical': 10, 'mf_dim': 33, 'mf_new_dim': 7, 'num_forms': 4, 'plus_dim': 3, 'prim_orbit_index': 1, 'relative_dim': 7, 'sturm_bound': 33, 'trace_bound': 3, 'trace_display': [-1024, -17336, -9765625, -126415972], 'traces': [7, -1024, -17336, 7340032, -9765625, 36282368, -126415972, -1073741824, 41383462411, -10000000000, 135710538204, 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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: 6950
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '10.22.a.c', 'source_level': 10, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '10.22.a.c', 'target_level': 10, 'twist_class_label': '10.22.a.c', 'twist_class_level': 10, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 22}
  • id: 6951
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '10.22.a.c', 'source_level': 10, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '50.22.a.e', 'target_level': 50, 'twist_class_label': '10.22.a.c', 'twist_class_level': 10, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 22}
  • id: 6952
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '10.22.a.c', 'source_level': 10, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '50.22.b.d', 'target_level': 50, 'twist_class_label': '10.22.a.c', 'twist_class_level': 10, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 22}
  • id: 6953
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '10.22.a.c', 'source_level': 10, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '80.22.a.b', 'target_level': 80, 'twist_class_label': '10.22.a.c', 'twist_class_level': 10, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 22}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 45050
    {'charpoly_factorization': [[[1024, 1], 2]], 'hecke_orbit_code': 9007199623839754, 'p': 2}
  • id: 45051
    {'charpoly_factorization': [[[-18411305184, -100308, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 3}
  • id: 45052
    {'charpoly_factorization': [[[-9765625, 1], 2]], 'hecke_orbit_code': 9007199623839754, 'p': 5}
  • id: 45053
    {'charpoly_factorization': [[[352081471190452864, -1328895316, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 7}
  • id: 45054
    {'charpoly_factorization': [[[-2395817003463030655056, -21869194224, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 11}
  • id: 45055
    {'charpoly_factorization': [[[-24409195758835299184604, 412060138772, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 13}
  • id: 45056
    {'charpoly_factorization': [[[-2751652309452645812320476, 11074763456364, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 17}
  • id: 45057
    {'charpoly_factorization': [[[305886413584528206038558800, 52072861011560, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 19}
  • id: 45058
    {'charpoly_factorization': [[[-41042402824779966165269716224, -80988875151948, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 23}
  • id: 45059
    {'charpoly_factorization': [[[-7377357862814903156250423013500, -264315081456060, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 29}
  • id: 45060
    {'charpoly_factorization': [[[-4721651910603271628208760770176, -2126016880188664, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 31}
  • id: 45061
    {'charpoly_factorization': [[[-52604790632101447865530952158556, 9721711577644724, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 37}
  • id: 45062
    {'charpoly_factorization': [[[10350341822174637751799647204808964, -221161031209870884, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 41}
  • id: 45063
    {'charpoly_factorization': [[[250519679521726932674232634342336, 43823174002198412, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 43}
  • id: 45064
    {'charpoly_factorization': [[[-35247844064860342018240707368904096, -206054077207980996, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 47}
  • id: 45065
    {'charpoly_factorization': [[[-2987337218981212754402503930011493884, 612435371018710692, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 53}
  • id: 45066
    {'charpoly_factorization': [[[-6365004697046783485583006206648374000, -4752208294289856120, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 59}
  • id: 45067
    {'charpoly_factorization': [[[-782755130810934642752826676764855356, -4748119038295687324, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 61}
  • id: 45068
    {'charpoly_factorization': [[[118398474429379355263051603844359426624, -22301925713082765436, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 67}
  • id: 45069
    {'charpoly_factorization': [[[-1009075367922497555965282313782852127616, -2201035283486261544, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 71}
  • id: 45070
    {'charpoly_factorization': [[[768605438440165474301971981900057121476, -56149494460474652548, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 73}
  • id: 45071
    {'charpoly_factorization': [[[-4784583210111129875229828037571592435200, 42382706176352134640, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 79}
  • id: 45072
    {'charpoly_factorization': [[[-40610853370774116527077332315226876352544, -1335343926003173268, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 83}
  • id: 45073
    {'charpoly_factorization': [[[8372845546928019135043528415839830368100, -255739828586257500180, 1], 1]], 'hecke_orbit_code': 9007199623839754, 'p': 89}
  • id: 45074
    {'charpoly_factorization': [[[564523541878353262018647821028305438685604, 1579422980340785237804, 1], 1]], 'hecke_orbit_code': 9007199623839754, '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': 3, 'label': '10.22.a.c', 'level': 10, 'portrait': 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', 'weight': 22}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29408623
    {'hecke_orbit_code': 9007199623839754, 'n': 1, 'trace_an': 2}
  • id: 29408624
    {'hecke_orbit_code': 9007199623839754, 'n': 2, 'trace_an': -2048}
  • id: 29408625
    {'hecke_orbit_code': 9007199623839754, 'n': 3, 'trace_an': 100308}
  • id: 29408626
    {'hecke_orbit_code': 9007199623839754, 'n': 4, 'trace_an': 2097152}
  • id: 29408627
    {'hecke_orbit_code': 9007199623839754, 'n': 5, 'trace_an': 19531250}
  • id: 29408628
    {'hecke_orbit_code': 9007199623839754, 'n': 6, 'trace_an': -102715392}
  • id: 29408629
    {'hecke_orbit_code': 9007199623839754, 'n': 7, 'trace_an': 1328895316}
  • id: 29408630
    {'hecke_orbit_code': 9007199623839754, 'n': 8, 'trace_an': -2147483648}
  • id: 29408631
    {'hecke_orbit_code': 9007199623839754, 'n': 9, 'trace_an': 25963598826}
  • id: 29408632
    {'hecke_orbit_code': 9007199623839754, 'n': 10, 'trace_an': -20000000000}
  • id: 29408633
    {'hecke_orbit_code': 9007199623839754, 'n': 11, 'trace_an': 21869194224}
  • id: 29408634
    {'hecke_orbit_code': 9007199623839754, 'n': 12, 'trace_an': 105180561408}
  • id: 29408635
    {'hecke_orbit_code': 9007199623839754, 'n': 13, 'trace_an': -412060138772}
  • id: 29408636
    {'hecke_orbit_code': 9007199623839754, 'n': 14, 'trace_an': -1360788803584}
  • id: 29408637
    {'hecke_orbit_code': 9007199623839754, 'n': 15, 'trace_an': 979570312500}
  • id: 29408638
    {'hecke_orbit_code': 9007199623839754, 'n': 16, 'trace_an': 2199023255552}
  • id: 29408639
    {'hecke_orbit_code': 9007199623839754, 'n': 17, 'trace_an': -11074763456364}
  • id: 29408640
    {'hecke_orbit_code': 9007199623839754, 'n': 18, 'trace_an': -26586725197824}
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