Newform data - 75.14.a.a

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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': 14700, 'analytic_conductor': 80.42319671393453, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -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': [75, 1, [26, 52], [1, 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': [[2, [-12, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 234881099, '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': '75.14.a.a', 'level': 75, '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': [3, 5], 'level_radical': 15, 'minimal_twist': '3.14.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+12q^{2}+3^{6}q^{3}-8048q^{4}+8748q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '13.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '75.14.a', 'trace_display': [12, 729, 0, -235088], 'trace_hash': 1889122337075088822, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.047', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.966', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.171', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.914', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.531', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.754', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 12, 729, -8048, 0, 8748, -235088, -194880, 531441, 0, -11182908, -5866992, -8049614, -2821056, 0, 63590656, 117494622, 6377292, -214061380, 0, -171379152, -134194896, -830555544, -142067520, 0, -96595368, 387420489, 1891988224, -1252400250, 0, 6159350552, 2359544832, -8152339932, 1409935464, 0, -4277037168, 5498191402, -2568736560, -5868168606, 0, -4678687878, -2056549824, -7115013764, 90000043584, 0, -9966666528, 29528776992, 46357588224, -41622642663, 0, 85653579438, 64783293472, 204125042466, 4649045868, 0, 45813949440, -156050746020, -15028803000, -29909821020, 0, -134392006738, 73912206624, -124935401808, -492620115968, 0, -97828079184, -348518801948, -945596717856, -605474991576, 0, 1314335409192, -103567222080, 1178875922326, 65978296824, 0, 1722765986240, 2628967475904, -70418023272, -1072420659640, 0, 282429536481, -56144254536, -1124025139644, 1379259415296, 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], [12], [729], [-8048], [0], [8748], [-235088], [-194880], [531441], [0], [-11182908], [-5866992], [-8049614], [-2821056], [0], [63590656], [117494622], [6377292], [-214061380], [0], [-171379152], [-134194896], [-830555544], [-142067520], [0], [-96595368], [387420489], [1891988224], [-1252400250], [0], [6159350552], [2359544832], [-8152339932], [1409935464], [0], [-4277037168], [5498191402], [-2568736560], [-5868168606], [0], [-4678687878], [-2056549824], [-7115013764], [90000043584], [0], [-9966666528], [29528776992], [46357588224], [-41622642663], [0], [85653579438], [64783293472], [204125042466], [4649045868], [0], [45813949440], [-156050746020], [-15028803000], [-29909821020], [0], [-134392006738], [73912206624], [-124935401808], [-492620115968], [0], [-97828079184], [-348518801948], [-945596717856], [-605474991576], [0], [1314335409192], [-103567222080], [1178875922326], [65978296824], [0], [1722765986240], [2628967475904], [-70418023272], [-1072420659640], [0], [282429536481], [-56144254536], [-1124025139644], [1379259415296], [0], [-85380165168], [-912999782250], [2179325111040], [2235610909530], [0], [1892367656032], [6684311018112], [4490166552408], [354345323904], [0], [1720108182528], [14215257165502], [-499471711956], [-5943055810428], [0]], 'ap': [[12], [729], [0], [-235088], [-11182908], [-8049614], [117494622], [-214061380], [-830555544], [-1252400250], [6159350552], [5498191402], [-4678687878], [-7115013764], [29528776992], [204125042466], [-29909821020], [-134392006738], [-348518801948], [1314335409192], [1178875922326], [-1072420659640], [-1124025139644], [2235610909530], [14215257165502], [17019415289742], [-10990429870784], [19640332937772], [-9820991409010], [17026697549166], [44934655354072], [-1201824485988], [-17156152133178], [105644089827860], [-85353252521010], [-61641427803328], [118020796127122], [-154710153734924], [-376012022331288], [-373562385120294], [42334856171820], [-310446880718218], [-862273101479808], 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[1359554356372765832532], [-1193055566409573226554], [-628745729297134035948], [-2201119534861321368734], [221030324415223411350], [1125909517099114738952], [-628107705508668490014], [-1427275836783307592460], [-424200832937801553068], [2041757619793092811606], [-863495306275862631078], [1481535118782228276200], [-4289720203358079247884], [-4190673270817474168108], [101445644275070727742], [-23216951905874526948], [4223067356267369469230], [2692363244869982340120], [5654397293552676830506], [2952940196898858171216], [-1353208817348566125570], [-5875818434281971893838], [-2751374444363177424044], [899375429210247538632], [-1072089575979213279670], [3987976325050941293580], [-6326780618721480121968], [2001430457827643728126], [-1914876632002655947470], [-2243015786170871461108], [-3894031936647462520058], [-3011549636159499113658], [-4482402209449095992024], [4565288441881185541446], [-4510211344238157991918], [5186444943643620982220], [5844244119991680179116], [5408172217059743668512], 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[42998944541205057728982], [-11403184696516040944050], [19848641679871628011472], [-26828397768597803808398], [-15691338485310265507038], [33043377455466777685156], [-31228048378841231965620], [-18763849176029854257554], [51091575304913244940242], [-37694300130676173144564], [27418608397900425755852], [-2536854262575928475018], [16353871775879318703702], [52308874130047060924800], [14956821663722049372112], [-37315903088908598128578], [38177993470055834218056], [52477453573440338998230], [-623013008630071659158], [19975816013545449962832], [-24170654247656699489100], [3607795234746859165846], [-33655490725596226575798], [28191693621137053200996], [-40410720451472165458470], [13074320821397900903732], [-46610528661667172757000]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 234881099, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '75.14.a.a', 'level': 75, 'maxp': 2999, 'weight': 14}
• 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': [9, 11, 11, 10], 'Nk2': 14700, 'analytic_conductor': 80.42319671393453, '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': [75, 1, [26, 52], [1, 1]], 'conrey_index': 1, 'cusp_dim': 124, 'dim': 41, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 234881099, 'hecke_orbit_dims': [1, 1, 2, 2, 2, 3, 4, 4, 5, 5, 6, 6], 'label': '75.14.a', 'level': 75, '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': [3, 5], 'level_radical': 15, 'mf_dim': 136, 'mf_new_dim': 41, 'num_forms': 12, 'plus_dim': 19, 'prim_orbit_index': 1, 'relative_dim': 41, 'sturm_bound': 140, 'trace_bound': 2, 'trace_display': [62, 729, 0, 41032], 'traces': [41, 62, 729, 176672, 0, 30618, 41032, 1896060, 21789081, 0, -1705968, -2907252, 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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: 65725
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '75.14.a.a', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '3.14.a.a', 'target_level': 3, 'twist_class_label': '3.14.a.a', 'twist_class_level': 3, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 14}
  • id: 65726
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '75.14.a.a', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '9.14.a.a', 'target_level': 9, 'twist_class_label': '3.14.a.a', 'twist_class_level': 3, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 14}
  • id: 65727
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '75.14.a.a', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '48.14.a.c', 'target_level': 48, 'twist_class_label': '3.14.a.a', 'twist_class_level': 3, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 14}
  • id: 65728
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '75.14.a.a', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '75.14.a.a', 'target_level': 75, 'twist_class_label': '3.14.a.a', 'twist_class_level': 3, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 14}
  • id: 65729
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '75.14.a.a', 'source_level': 75, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '75.14.b.b', 'target_level': 75, 'twist_class_label': '3.14.a.a', 'twist_class_level': 3, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 14}
  • id: 65730
    {'conductor': 60, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '75.14.a.a', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '144.14.a.k', 'target_level': 144, 'twist_class_label': '3.14.a.a', 'twist_class_level': 3, 'twisting_char_label': '60.h', 'twisting_char_orbit': 8, 'weight': 14}
  • id: 65731
    {'conductor': 35, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '75.14.a.a', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '147.14.a.a', 'target_level': 147, 'twist_class_label': '3.14.a.a', 'twist_class_level': 3, 'twisting_char_label': '35.c', 'twisting_char_orbit': 3, 'weight': 14}
  • id: 65732
    {'conductor': 40, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '75.14.a.a', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '192.14.a.e', 'target_level': 192, 'twist_class_label': '3.14.a.a', 'twist_class_level': 3, 'twisting_char_label': '40.e', 'twisting_char_orbit': 5, 'weight': 14}
  • id: 65733
    {'conductor': 40, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '75.14.a.a', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '192.14.a.j', 'target_level': 192, 'twist_class_label': '3.14.a.a', 'twist_class_level': 3, 'twisting_char_label': '40.f', 'twisting_char_orbit': 6, 'weight': 14}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 235850
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 2}
  • id: 235851
    {'charpoly_factorization': [[[-729, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 3}
  • id: 235852
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 5}
  • id: 235853
    {'charpoly_factorization': [[[235088, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 7}
  • id: 235854
    {'charpoly_factorization': [[[11182908, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 11}
  • id: 235855
    {'charpoly_factorization': [[[8049614, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 13}
  • id: 235856
    {'charpoly_factorization': [[[-117494622, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 17}
  • id: 235857
    {'charpoly_factorization': [[[214061380, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 19}
  • id: 235858
    {'charpoly_factorization': [[[830555544, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 23}
  • id: 235859
    {'charpoly_factorization': [[[1252400250, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 29}
  • id: 235860
    {'charpoly_factorization': [[[-6159350552, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 31}
  • id: 235861
    {'charpoly_factorization': [[[-5498191402, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 37}
  • id: 235862
    {'charpoly_factorization': [[[4678687878, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 41}
  • id: 235863
    {'charpoly_factorization': [[[7115013764, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 43}
  • id: 235864
    {'charpoly_factorization': [[[-29528776992, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 47}
  • id: 235865
    {'charpoly_factorization': [[[-204125042466, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 53}
  • id: 235866
    {'charpoly_factorization': [[[29909821020, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 59}
  • id: 235867
    {'charpoly_factorization': [[[134392006738, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 61}
  • id: 235868
    {'charpoly_factorization': [[[348518801948, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 67}
  • id: 235869
    {'charpoly_factorization': [[[-1314335409192, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 71}
  • id: 235870
    {'charpoly_factorization': [[[-1178875922326, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 73}
  • id: 235871
    {'charpoly_factorization': [[[1072420659640, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 79}
  • id: 235872
    {'charpoly_factorization': [[[1124025139644, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 83}
  • id: 235873
    {'charpoly_factorization': [[[-2235610909530, 1], 1]], 'hecke_orbit_code': 234881099, 'p': 89}
  • id: 235874
    {'charpoly_factorization': [[[-14215257165502, 1], 1]], 'hecke_orbit_code': 234881099, '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': 1, 'label': '75.14.a.a', 'level': 75, 'portrait': 'data:image/png;base64,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', 'weight': 14}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 3858906
    {'hecke_orbit_code': 234881099, 'n': 1, 'trace_an': 1}
  • id: 3858907
    {'hecke_orbit_code': 234881099, 'n': 2, 'trace_an': 12}
  • id: 3858908
    {'hecke_orbit_code': 234881099, 'n': 3, 'trace_an': 729}
  • id: 3858909
    {'hecke_orbit_code': 234881099, 'n': 4, 'trace_an': -8048}
  • id: 3858910
    {'hecke_orbit_code': 234881099, 'n': 5, 'trace_an': 0}
  • id: 3858911
    {'hecke_orbit_code': 234881099, 'n': 6, 'trace_an': 8748}
  • id: 3858912
    {'hecke_orbit_code': 234881099, 'n': 7, 'trace_an': -235088}
  • id: 3858913
    {'hecke_orbit_code': 234881099, 'n': 8, 'trace_an': -194880}
  • id: 3858914
    {'hecke_orbit_code': 234881099, 'n': 9, 'trace_an': 531441}
  • id: 3858915
    {'hecke_orbit_code': 234881099, 'n': 10, 'trace_an': 0}
  • id: 3858916
    {'hecke_orbit_code': 234881099, 'n': 11, 'trace_an': -11182908}
  • id: 3858917
    {'hecke_orbit_code': 234881099, 'n': 12, 'trace_an': -5866992}
  • id: 3858918
    {'hecke_orbit_code': 234881099, 'n': 13, 'trace_an': -8049614}
  • id: 3858919
    {'hecke_orbit_code': 234881099, 'n': 14, 'trace_an': -2821056}
  • id: 3858920
    {'hecke_orbit_code': 234881099, 'n': 15, 'trace_an': 0}
  • id: 3858921
    {'hecke_orbit_code': 234881099, 'n': 16, 'trace_an': 63590656}
  • id: 3858922
    {'hecke_orbit_code': 234881099, 'n': 17, 'trace_an': 117494622}
  • id: 3858923
    {'hecke_orbit_code': 234881099, 'n': 18, 'trace_an': 6377292}
  • id: 3858924
    {'hecke_orbit_code': 234881099, 'n': 19, 'trace_an': -214061380}
  • id: 3858925
    {'hecke_orbit_code': 234881099, 'n': 20, 'trace_an': 0}
  • id: 3858926
    {'hecke_orbit_code': 234881099, 'n': 21, 'trace_an': -171379152}
  • id: 3858927
    {'hecke_orbit_code': 234881099, 'n': 22, 'trace_an': -134194896}
  • id: 3858928
    {'hecke_orbit_code': 234881099, 'n': 23, 'trace_an': -830555544}
  • id: 3858929
    {'hecke_orbit_code': 234881099, 'n': 24, 'trace_an': -142067520}
  • id: 3858930
    {'hecke_orbit_code': 234881099, 'n': 25, 'trace_an': 0}
  • id: 3858931
    {'hecke_orbit_code': 234881099, 'n': 26, 'trace_an': -96595368}
  • id: 3858932
    {'hecke_orbit_code': 234881099, 'n': 27, 'trace_an': 387420489}
  • id: 3858933
    {'hecke_orbit_code': 234881099, 'n': 28, 'trace_an': 1891988224}
  • id: 3858934
    {'hecke_orbit_code': 234881099, 'n': 29, 'trace_an': -1252400250}
  • id: 3858935
    {'hecke_orbit_code': 234881099, 'n': 30, 'trace_an': 0}
  • id: 3858936
    {'hecke_orbit_code': 234881099, 'n': 31, 'trace_an': 6159350552}
  • id: 3858937
    {'hecke_orbit_code': 234881099, 'n': 32, 'trace_an': 2359544832}
  • id: 3858938
    {'hecke_orbit_code': 234881099, 'n': 33, 'trace_an': -8152339932}
  • id: 3858939
    {'hecke_orbit_code': 234881099, 'n': 34, 'trace_an': 1409935464}
  • id: 3858940
    {'hecke_orbit_code': 234881099, 'n': 35, 'trace_an': 0}
  • id: 3858941
    {'hecke_orbit_code': 234881099, 'n': 36, 'trace_an': -4277037168}
  • id: 3858942
    {'hecke_orbit_code': 234881099, 'n': 37, 'trace_an': 5498191402}
  • id: 3858943
    {'hecke_orbit_code': 234881099, 'n': 38, 'trace_an': -2568736560}
  • id: 3858944
    {'hecke_orbit_code': 234881099, 'n': 39, 'trace_an': -5868168606}
  • id: 3858945
    {'hecke_orbit_code': 234881099, 'n': 40, 'trace_an': 0}
  • id: 3858946
    {'hecke_orbit_code': 234881099, 'n': 41, 'trace_an': -4678687878}
  • id: 3858947
    {'hecke_orbit_code': 234881099, 'n': 42, 'trace_an': -2056549824}
  • id: 3858948
    {'hecke_orbit_code': 234881099, 'n': 43, 'trace_an': -7115013764}
  • id: 3858949
    {'hecke_orbit_code': 234881099, 'n': 44, 'trace_an': 90000043584}
  • id: 3858950
    {'hecke_orbit_code': 234881099, 'n': 45, 'trace_an': 0}
  • id: 3858951
    {'hecke_orbit_code': 234881099, 'n': 46, 'trace_an': -9966666528}
  • id: 3858952
    {'hecke_orbit_code': 234881099, 'n': 47, 'trace_an': 29528776992}
  • id: 3858953
    {'hecke_orbit_code': 234881099, 'n': 48, 'trace_an': 46357588224}
  • id: 3858954
    {'hecke_orbit_code': 234881099, 'n': 49, 'trace_an': -41622642663}
  • id: 3858955
    {'hecke_orbit_code': 234881099, 'n': 50, 'trace_an': 0}
  • id: 3858956
    {'hecke_orbit_code': 234881099, 'n': 51, 'trace_an': 85653579438}
  • id: 3858957
    {'hecke_orbit_code': 234881099, 'n': 52, 'trace_an': 64783293472}
  • id: 3858958
    {'hecke_orbit_code': 234881099, 'n': 53, 'trace_an': 204125042466}
  • id: 3858959
    {'hecke_orbit_code': 234881099, 'n': 54, 'trace_an': 4649045868}
  • id: 3858960
    {'hecke_orbit_code': 234881099, 'n': 55, 'trace_an': 0}
  • id: 3858961
    {'hecke_orbit_code': 234881099, 'n': 56, 'trace_an': 45813949440}
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  • id: 3859149
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  • id: 3859150
    {'hecke_orbit_code': 234881099, 'n': 911, 'trace_an': -23402776617717897648}
  • id: 3859151
    {'hecke_orbit_code': 234881099, 'n': 919, 'trace_an': 22088090744681728160}
  • id: 3859152
    {'hecke_orbit_code': 234881099, 'n': 929, 'trace_an': -10563249724354118190}
  • id: 3859153
    {'hecke_orbit_code': 234881099, 'n': 937, 'trace_an': 17283283288395126262}
  • id: 3859154
    {'hecke_orbit_code': 234881099, 'n': 941, 'trace_an': 21403762991627970342}
  • id: 3859155
    {'hecke_orbit_code': 234881099, 'n': 947, 'trace_an': 591308436260262612}
  • id: 3859156
    {'hecke_orbit_code': 234881099, 'n': 953, 'trace_an': 23939617111356889206}
  • id: 3859157
    {'hecke_orbit_code': 234881099, 'n': 961, 'trace_an': 13520052924977662113}
  • id: 3859158
    {'hecke_orbit_code': 234881099, 'n': 967, 'trace_an': -1990454979252485408}
  • id: 3859159
    {'hecke_orbit_code': 234881099, 'n': 971, 'trace_an': 41238481315770147492}
  • id: 3859160
    {'hecke_orbit_code': 234881099, 'n': 977, 'trace_an': 12537361145705977662}
  • id: 3859161
    {'hecke_orbit_code': 234881099, 'n': 983, 'trace_an': 18396640167476237976}
  • id: 3859162
    {'hecke_orbit_code': 234881099, 'n': 991, 'trace_an': -34306388283336427528}
  • id: 3859163
    {'hecke_orbit_code': 234881099, 'n': 997, 'trace_an': 57245767419897960202}