Embedded newform data - 2070.2.a.x.1.1

Formats: - HTML - YAML - JSON - 2026-07-22T02:30:33.599620

• 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': 8280, 'analytic_conductor': 16.52903321840504, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [5, -1], [23, 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': [2070, 1, [461, 1657, 1891], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 21, 'field_disc_factorization': [[3, 1], [7, 1]], 'field_poly': [-5, -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': [[7, [-5, -1, 1]], [11, [-3, 3, 1]], [13, [7, -7, 1]], [17, [-3, -3, 1]], [29, [-12, 6, 1]]], 'hecke_orbit': 24, 'hecke_orbit_code': 103582791463077910, 'hecke_ring_generator_nbound': 7, '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': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2070.2.a.x', 'level': 2070, '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, 3, 5, 23], 'level_radical': 690, 'minimal_twist': '230.2.a.a', 'nf_label': '2.2.21.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{2}+q^{4}+q^{5}+\\beta q^{7}+q^{8}+q^{10}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2070.2.a', 'trace_display': [2, 0, 2, 1], 'trace_hash': 2262838549584852915, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.045', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.971', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.067', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.702', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '67.552', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.019', 'prec': 17}, 'traces': [2, 2, 0, 2, 2, 0, 1, 2, 0, 2, -3, 0, 7, 1, 0, 2, 3, 0, 7, 2, 0, -3, -2, 0, 2, 7, 0, 1, -6, 0, 7, 2, 0, 3, 1, 0, -8, 7, 0, 2, 9, 0, 4, -3, 0, -2, 18, 0, -3, 2, 0, 7, -12, 0, -3, 1, 0, -6, 18, 0, 7, 7, 0, 2, 7, 0, 4, 3, 0, 1, -3, 0, -2, -8, 0, 7, -12, 0, 16, 2, 0, 9, 12, 0, 3, 4, 0, -3, -12, 0, -7, -2, 0, 18, 7, 0, 7, -3, 0, 2, -18, 0, 1, 7, 0, -12, -18, 0, 7, -3, 0, 1, -12, 0, -2, -6, 0, 18, 12, 0, -7, 7, 0, 7, 2, 0, -2, 2, 0, 7, 0, 0, -7, 4, 0, 3, -3, 0, -2, 1, 0, -3, 0, 0, -6, -2, 0, -8, -21, 0, -17, 7, 0, -12, 7, 0, -2, 16, 0, 2, -1, 0, 31, 9, 0, 12, 0, 0, 9, 3, 0, 4, 33, 0, 1, -3, 0, -12, 6, 0, -5, -7, 0, -2, -8, 0, -15, 18, 0, 7, -42, 0, -14, 7, 0, -3, -9, 0, 4, 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0, 120, 22, 0, 0, -48, 0, -70, -24, 0, -4, -18, 0, -41, 46, 0, -6, 18, 0, 12, 7, 0, 96, -21, 0, -36, 73, 0, 31, 18, 0, -64, -39, 0, 30, 16, 0, 28, -39, 0, 0, -33, 0, 140, 9, 0, -42, 12, 0, 24, -27, 0, 30, 51, 0, 42, 36, 0, -12, 84, 0, 56, -38, 0, -65, 2, 0, -86, -14, 0, -12, 84, 0, 32, 94, 0, 12, 24, 0, -20, -7, 0, 12, 12, 0, 42, -112, 0, 6, 60, 0, -29, 0, 0, 0, -18, 0, -89, -28, 0, 4, 24, 0, -92, 21, 0, 24, -93, 0, 16, -6, 0, 76, 111, 0, -6, -29, 0, -42, 36, 0, 8, 56, 0, 9, 40, 0, 100, -12, 0, -5, 120, 0, 67, -18, 0, 56, 21, 0, 4, 3, 0, 0, -120, 0, 7, -12, 0, -42, -60, 0, -23, 9, 0, 93, -11, 0, -12, -42, 0, -3, 24, 0, -70, 2, 0, -12, 60, 0, -2, -3, 0, 4, 78, 0, -42, -42, 0, -78, 84, 0, 96, 58, 0, 58, 8, 0, -104, 33, 0, 16, 78, 0, 120, 56, 0, -15, 147, 0, 74, -2, 0, -42, 7, 0, -24, 86, 0, 3, 0, 0, 49, 52, 0, 66, 56, 0, 34, 4, 0, 1, -3, 0, -170, -33, 0, -7, -72, 0, -34, 6, 0, -28, 84, 0, 12, -3, 0, -9, -60, 0, 70, 18, 0, 12, -12, 0, 90, -30, 0, -20, -63, 0, -14, -7, 0, 37, -9, 0, 84, -3, 0, 30, 72, 0, 24, -125, 0, -12, 48, 0, -5, -7, 0, 72, 19, 0, 19, -62, 0, 0, -24, 0, -31, 6, 0, 51, 0, 0, -70, -6, 0, 0, -60, 0, -2, 27, 0, -87, 51, 0, 176, 42, 0, 32, 64, 0, -14, -3, 0, -19, -48, 0, 51, -53, 0, -5, -21, 0, -28, -6, 0, 96, -21, 0, 6, 73, 0, 37, 87, 0, -45, -7, 0, 126, 18, 0, 94, 55, 0, -2, 2, 0, -64, -36, 0, -21, 114, 0, 12, 0, 0, 52, -72, 0, 57, -20, 0, -42, -6, 0, 39, -80, 0, -2, -7, 0, -97, 36, 0, 18, 126, 0, 94, -10, 0, 16, 36, 0, 72, -8, 0, -15, 120, 0, 18, -26, 0, -6, 33, 0, -26, 3, 0, 36, 12, 0, 98, 82, 0, -21, 102, 0, -70, -2, 0, -54, 60, 0, -42, -7, 0, -15, 54, 0, 39, -30, 0, 78, 3, 0], 'weight': 2, 'weight_parity': 1}
• 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

  
  {'an_normalized': [[1.0, 0.0], [0.7071067811865476, 0.0], [0.0, 0.0], [0.5, 0.0], [0.4472135954999579, 0.0], [0.0, 0.0], [-0.677043167279825, 0.0], [0.3535533905932738, 0.0], [0.0, 0.0], [0.31622776601683794, 0.0], [0.238582262841112, 0.0], [0.0, 0.0], [1.6062142526963934, 0.0], [-0.4787418147395823, 0.0], [0.0, 0.0], [0.25, 0.0], [-0.19191549267171185, 0.0], [0.0, 0.0], [1.328612551584813, 0.0], [0.22360679774997896, 0.0], [0.0, 0.0], [0.16870313592578157, 0.0], [-0.20851441405707477, 0.0], [0.0, 0.0], [0.2, 0.0], [1.1357649901201026, 0.0], [0.0, 0.0], [-0.3385215836399125, 0.0], [-1.4080489579279187, 0.0], [0.0, 0.0], [-0.6059637805359401, 0.0], [0.1767766952966369, 0.0], [0.0, 0.0], [-0.13570474628292462, 0.0], [-0.30278290914789, 0.0], [0.0, 0.0], [-0.6575959492214292, 0.0], [0.9394709447951829, 0.0], [0.0, 0.0], [0.15811388300841897, 0.0], [1.0606209712090007, 0.0], [0.0, 0.0], [1.702669624508625, 0.0], [0.119291131420556, 0.0], [0.0, 0.0], [-0.14744195615489714, 0.0], [0.6443475586978592, 0.0], [0.0, 0.0], [-0.5416125496397028, 0.0], [0.1414213562373095, 0.0], [0.0, 0.0], [0.8031071263481967, 0.0], [-0.8241633836921342, 0.0], [0.0, 0.0], [0.1066972315876897, 0.0], [-0.23937090736979116, 0.0], [0.0, 0.0], [-0.9956409663934831, 0.0], [1.7683007380409077, 0.0], [0.0, 0.0], [1.3282371208228383, 0.0], [-0.42848109837040016, 0.0], [0.0, 0.0], [0.125, 0.0], [0.7183208510916321, 0.0], [0.0, 0.0], [1.364040341459539, 0.0], [-0.09595774633585592, 0.0], [0.0, 0.0], [-0.21409984828586337, 0.0], [-0.9937947660378592, 0.0], [0.0, 0.0], [1.4920086021560799, 0.0], [-0.46499055497527714, 0.0], [0.0, 0.0], [0.6643062757924065, 0.0], [-0.16153049089073418, 0.0], [0.0, 0.0], [0.9000703207408192, 0.0], [0.11180339887498948, 0.0], [0.0, 0.0], [0.7499722810105464, 0.0], [0.658585559938142, 0.0], [0.0, 0.0], [-0.08582721750986208, 0.0], [1.2039692376104014, 0.0], [0.0, 0.0], [0.08435156796289078, 0.0], [-1.6075028323281884, 0.0], [0.0, 0.0], [-1.0874763849755635, 0.0], [-0.10425720702853739, 0.0], [0.0, 0.0], [0.4556225281962532, 0.0], [0.5941735962206176, 0.0], [0.0, 0.0], [-0.8078540067802187, 0.0], [-0.3829779066259695, 0.0], [0.0, 0.0], [0.1, 0.0]], 'angles': [None, None, None, -0.3049634070367076, -0.23096890684046392, -0.1015893225221636, -0.26529568468356357, -0.13436353679775404, None, -0.3743077415886489, -0.29899108531135576, -0.30332176022479507, -0.16103767919783174, -0.08789680813899, -0.19779323083497333, -0.31759908521341196, -0.07736903863340434, -0.13440350211824578, -0.13055080911922776, -0.3327637331294161, -0.11598490707323658, -0.17570572270713922, -0.19659484515154443, -0.3985829010346471, -0.3161775142060819, -0.2852661731183754, -0.300837568128032, -0.28424712072693514, -0.2758292914861908, -0.2955347852630818, -0.15432445086080304, -0.18443880585805034, -0.27589009874139836, -0.15909408134538014, -0.3045779945871258, -0.322349764704436, -0.35014033559327035, -0.1951543009062334, -0.37547651465337906, -0.1233640619849625, -0.3157835638814525, -0.3709743614548873, -0.438196378602428, -0.3841879266561347, -0.18257926647955797, -0.3482417914314297, -0.30592731866964484, -0.2885584785206619, -0.11384029943361727, -0.13277530233053494, -0.24174586874029508, -0.16841145654706335, -0.42888400873019583, -0.4050167205249388, -0.22634574014149403, -0.3061588014133291, -0.19687162026531527, -0.157236829047888, -0.16377023040613115, -0.30193853532376813, -0.21018028520038548, -0.3984223416744567, -0.32311912213485255, -0.30525225992935856, -0.27086803267862297, -0.29433342529378065, -0.3465669760416493, -0.30395036877596115, -0.27232445356319, -0.12750858792101957, -0.2634218433967635, -0.2888785879257617, -0.33337126362463765, -0.19647121569194745, -0.27617172572315213, -0.1449467565953424, -0.16205669491015529, -0.3137521974609033, -0.23108849186780767, -0.3243203477915522, -0.334978379032365, -0.1772062061820827, -0.3572650175620517, -0.3811288760113394, -0.27493725650982914, -0.05289888249125673, -0.187891019042772, -0.2875728029450435, -0.13326329620459312, -0.2873239625250479, -0.17379399296672327, -0.30758981584254663, -0.22677644644982448, -0.28898684874404196, -0.23274265031633878, -0.30129876129707023, -0.38989260940552056, -0.3145059635343009, -0.18877159067515234, -0.2442862330565032], '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': -1.79128784747792, 'hecke_orbit': 24, 'hecke_orbit_code': 103582791463077910, 'label': '2070.2.a.x.1.1', 'level': 2070, 'weight': 2}
• 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': [2, 1, 1, 2, 4, 2, 2, 4, 2, 1, 1, 2, 1, 4, 4, 1], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], 'ALdims_old': [19, 29, 29, 22, 25, 22, 23, 22, 26, 23, 25, 24, 25, 21, 20, 28], 'Nk2': 8280, 'analytic_conductor': 16.52903321840504, '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': [2070, 1, [461, 1657, 1891], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 417, 'dim': 34, 'eis_dim': 31, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 13, 17, 29], 'hecke_orbit_code': 33556502, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3], 'label': '2070.2.a', 'level': 2070, '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, 3, 5, 23], 'level_radical': 690, 'mf_dim': 448, 'mf_new_dim': 34, 'num_forms': 26, 'plus_dim': 12, 'prim_orbit_index': 1, 'relative_dim': 34, 'sturm_bound': 864, 'trace_bound': 13, 'trace_display': [-2, 0, 0, 0], 'traces': [34, -2, 0, 34, 0, 0, 0, -2, 0, 0, -12, 0, 4, 8, 0, 34, 4, 0, 12, 0, 0, 20, 0, 0, 34, 0, 0, 0, 4, 0, -12, -2, 0, 12, 0, 0, -32, 4, 0, 0, 8, 0, -12, -12, 0, 0, 24, 0, 46, -2, 0, 4, 32, 0, 0, 8, 0, 4, 24, 0, 24, 0, 0, 34, -8, 0, 44, 4, 0, 4, -20, 0, 28, 32, 0, 12, 56, 0, 24, 0, 0, 20, 20, 0, 32, -4, 0, 20, 20, 0, 32, 0, 0, -8, 8, 0, -4, -18, 0, 34, -28, 0, -8, 0, 0, -8, 4, 0, 8, -4, 0, 0, -28, 0, 2, 4, 0, 32, 32, 0, 22, 48, 0, -12, 0, 0, -56, -2, 0, -16, -24, 0, -8, 28, 0, 12, 52, 0, -32, 0, 0, -16, 8, 0, -16, 4, 0, -32, 0, 0, 36, 4, 0, 8, -32, 0, -16, 8, 0, 0, 4, 0, -56, 8, 0, 36, 16, 0, -38, -4, 0, -12, -4, 0, 0, -12, 0, 20, 40, 0, -56, 8, 0, 0, -12, 0, 16, 24, 0, -12, 8, 0, 36, 4, 0, 46, 44, 0, -40, -2, 0, 4, 48, 0, -32, -40, 0, 4, 16, 0, 56, 32, 0, -44, 12, 0, -40, 64, 0, 0, -40, 0, -16, 8, 0, 12, 44, 0, -152, -10, 0, 4, -20, 0, -8, 24, 0, 8, 32, 0, -20, -26, 0, 24, 16, 0, -48, 0, 0, 0, -60, 0, -12, 0, 0, 34, -76, 0, -72, -8, 0, 32, 56, 0, -4, -44, 0, 44, -108, 0, -68, 4, 0, 28, -12, 0, -20, -40, 0, 4, -28, 0, 4, -20, 0, -32, -128, 0, 18, 24, 0, 28, -96, 0, 8, 32, 0, -8, 16, 0, -64, 56, 0, 12, -40, 0, -24, 56, 0, -40, -16, 0, -68, -96, 0, 24, -28, 0, 120, 0, 0, 8, -88, 0, 4, 36, 0, 20, 0, 0, 80, 20, 0, -104, 20, 0, -12, -62, 0, 32, -48, 0, 48, -4, 0, -32, 24, 0, -76, 8, 0, 20, -52, 0, -32, 20, 0, 72, -120, 0, -10, 16, 0, 32, -16, 0, -24, 0, 0, 4, 64, 0, 32, 20, 0, -8, -240, 0, -60, 8, 0, -72, 80, 0, -16, -108, 0, -4, -24, 0, 4, -18, 0, -72, 0, 0, -36, -8, 0, 34, -92, 0, 56, -28, 0, 24, 128, 0, -64, -32, 0, -8, -96, 0, 20, 0, 0, -16, -84, 0, 48, -32, 0, -8, 4, 0, -64, 4, 0, -4, 0, 0, -20, 56, 0, 8, -20, 0, -20, -4, 0, -104, -8, 0, -32, 24, 0, 0, -48, 0, 48, -28, 0, -76, -28, 0, -140, -72, 0, 2, 52, 0, -64, 4, 0, -68, -76, 0, -96, 48, 0, 32, 120, 0, 12, 32, 0, -104, 136, 0, -104, -76, 0, 22, -8, 0, 136, 48, 0, 16, 136, 0, -88, 64, 0, -12, 112, 0, 96, 0, 0, -52, -176, 0, 8, 0, 0, -56, -100, 0, 48, -2, 0, 4, -40, 0, 64, 16, 0, -16, 4, 0, 76, -24, 0, -72, 48, 0, 34, -36, 0, -8, 144, 0, -36, 28, 0, -164, -196, 0, -108, -24, 0, 12, 24, 0, 64, 52, 0, 20, 192, 0, 40, -60, 0, -32, -24, 0, 152, 0, 0, 84, -20, 0, -72, -52, 0, -16, -4, 0, -108, 8, 0, 24, 0, 0, 44, -86, 0, -16, -32, 0, 72, 4, 0, -80, 16, 0, 48, 32, 0, -32, 52, 0, -8, 0, 0, 8, 124, 0, -16, -80, 0, 36, 32, 0, 0, 4, 0, -36, -48, 0, -312, -12, 0, 8, -180, 0, -28, -32, 0, 104, 72, 0, 34, 36, 0, -16, -96, 0, -112, 8, 0, -88, 72, 0, -148, 40, 0, 0, 124, 0, -60, 4, 0, 96, 8, 0, -240, 0, 0, -56, 12, 0, 48, 8, 0, 48, 140, 0, -168, -152, 0, 36, 80, 0, -8, 16, 0, -36, -196, 0, 108, -36, 0, -38, 112, 0, 96, -4, 0, -32, -128, 0, -24, 136, 0, -12, 104, 0, -144, -4, 0, 84, 64, 0, 112, -140, 0, 0, -40, 0, 104, -12, 0, -68, 64, 0, 96, 16, 0, 20, 8, 0, 56, 40, 0, 88, -4, 0, 0, 38, 0, -56, 4, 0, 80, 8, 0, -24, 160, 0, -32, 8, 0, 0, -128, 0, 112, -12, 0, 48, 8, 0, -24, -144, 0, 16, 120, 0, -16, 24, 0, 80, -72, 0, 184, 4, 0, -12, 56, 0, -216, 8, 0, -112, 120, 0, 124, 16, 0, 36, -72, 0, -12, 4, 0, -48, -176, 0, 32, -16, 0, 46, 60, 0, 276, 44, 0, 16, 152, 0, 48, 64, 0, -40, -24, 0, 104, -2, 0, -84, 168, 0, 8, 100, 0, 4, 16, 0, 8, 48, 0, 24, 56, 0, 80, -228, 0, -32, 196, 0, 128, -40, 0, -56, -76, 0, -100, 20, 0, 4, -52, 0, -8, 16, 0, -44, 160, 0, -50, 24, 0, 56, 48, 0, 152, 32, 0, 12, 20, 0, 100, -24, 0, -44, -4, 0, 48, 12, 0, 72, -8, 0, -32, -188, 0, -40, 296, 0, -16, 64, 0, -8, 0, 0, -252, 8, 0, 0, -164, 0, 112, -40, 0, 132, -32, 0, 184, 24, 0, -16, 48, 0, 40, 8, 0, 68, 8, 0, 24, 80, 0, 12, -56, 0, 148, 44, 0, -24, 64, 0, 24, -4, 0, -152, 16, 0, 208, -10, 0, -84, 112, 0, -32, 40, 0, 4, 212, 0, 180, -20, 0, 44, 56, 0, -12, 88, 0, -8, 32, 0, -32, 24, 0, 88, -8, 0, 208, 4, 0, 8, -12, 0, -40, 32, 0, 144, -236, 0, -34, -96, 0, -20, -32, 0, 192, -26, 0, 44, -236, 0, -144, 32, 0, 24, -108, 0, -40, 16, 0, -40, -128, 0, 0, -24, 0, -48, 28, 0, 220, 0, 0, -64, -24, 0, 76, 176, 0, 0], 'weight': 2, 'weight_parity': 1}
• 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: 48479478
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 103582791463077910, 'source_is_minimal': False, 'source_label': '2070.2.a.x.1.1', 'source_level': 2070, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 103582791463077910, 'target_is_minimal': False, 'target_label': '2070.2.a.x.1.1', 'target_level': 2070, 'twist_class_label': '230.2.a.a.1.1', 'twist_class_level': 230, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48479479
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 103582791463077910, 'source_is_minimal': False, 'source_label': '2070.2.a.x.1.1', 'source_level': 2070, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33554662, 'target_is_minimal': True, 'target_label': '230.2.a.a.1.1', 'target_level': 230, 'twist_class_label': '230.2.a.a.1.1', 'twist_class_level': 230, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48479480
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 103582791463077910, 'source_is_minimal': False, 'source_label': '2070.2.a.x.1.1', 'source_level': 2070, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 58546795189372720, 'target_is_minimal': False, 'target_label': '1840.2.a.n.1.2', 'target_level': 1840, 'twist_class_label': '230.2.a.a.1.1', 'twist_class_level': 230, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48479481
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 103582791463077910, 'source_is_minimal': False, 'source_label': '2070.2.a.x.1.1', 'source_level': 2070, 'target_conrey_index': 599, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021666517255294, 'target_is_minimal': False, 'target_label': '1150.2.b.g.599.2', 'target_level': 1150, 'twist_class_label': '230.2.a.a.1.1', 'twist_class_level': 230, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48479482
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 103582791463077910, 'source_is_minimal': False, 'source_label': '2070.2.a.x.1.1', 'source_level': 2070, 'target_conrey_index': 599, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 27021666517255294, 'target_is_minimal': False, 'target_label': '1150.2.b.g.599.3', 'target_level': 1150, 'twist_class_label': '230.2.a.a.1.1', 'twist_class_level': 230, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 48479483
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 103582791463077910, 'source_is_minimal': False, 'source_label': '2070.2.a.x.1.1', 'source_level': 2070, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 63050394816742526, 'target_is_minimal': False, 'target_label': '1150.2.a.o.1.2', 'target_level': 1150, 'twist_class_label': '230.2.a.a.1.1', 'twist_class_level': 230, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 48479484
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 103582791463077910, 'source_is_minimal': False, 'source_label': '2070.2.a.x.1.1', 'source_level': 2070, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 189151184383122624, 'target_is_minimal': False, 'target_label': '7360.2.a.bq.1.2', 'target_level': 7360, 'twist_class_label': '230.2.a.a.1.1', 'twist_class_level': 230, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 48479485
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 103582791463077910, 'source_is_minimal': False, 'source_label': '2070.2.a.x.1.1', 'source_level': 2070, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 162129586618899648, 'target_is_minimal': False, 'target_label': '7360.2.a.bk.1.1', 'target_level': 7360, 'twist_class_label': '230.2.a.a.1.1', 'twist_class_level': 230, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48479486
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 103582791463077910, 'source_is_minimal': False, 'source_label': '2070.2.a.x.1.1', 'source_level': 2070, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 198158383637865456, 'target_is_minimal': False, 'target_label': '9200.2.a.bs.1.1', 'target_level': 9200, 'twist_class_label': '230.2.a.a.1.1', 'twist_class_level': 230, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 2}
  • id: 48479487
    {'conductor': 69, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 103582791463077910, 'source_is_minimal': False, 'source_label': '2070.2.a.x.1.1', 'source_level': 2070, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398543041706, 'target_is_minimal': False, 'target_label': '5290.2.a.e.1.1', 'target_level': 5290, 'twist_class_label': '230.2.a.a.1.1', 'twist_class_level': 230, 'twisting_char_label': '69.68', 'twisting_conrey_index': 68, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2404300
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 103582791463077910, 'p': 2}
  • id: 2404301
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 103582791463077910, 'p': 3}
  • id: 2404302
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 103582791463077910, 'p': 5}
  • id: 2404303
    {'charpoly_factorization': [[[-5, -1, 1], 1]], 'hecke_orbit_code': 103582791463077910, 'p': 7}
  • id: 2404304
    {'charpoly_factorization': [[[-3, 3, 1], 1]], 'hecke_orbit_code': 103582791463077910, 'p': 11}
  • id: 2404305
    {'charpoly_factorization': [[[7, -7, 1], 1]], 'hecke_orbit_code': 103582791463077910, 'p': 13}
  • id: 2404306
    {'charpoly_factorization': [[[-3, -3, 1], 1]], 'hecke_orbit_code': 103582791463077910, 'p': 17}
  • id: 2404307
    {'charpoly_factorization': [[[7, -7, 1], 1]], 'hecke_orbit_code': 103582791463077910, 'p': 19}
  • id: 2404308
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 103582791463077910, 'p': 23}
  • id: 2404309
    {'charpoly_factorization': [[[-12, 6, 1], 1]], 'hecke_orbit_code': 103582791463077910, 'p': 29}
  • id: 2404310
    {'charpoly_factorization': [[[-35, -7, 1], 1]], 'hecke_orbit_code': 103582791463077910, 'p': 31}
  • id: 2404311
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 103582791463077910, 'p': 37}
  • id: 2404312
    {'charpoly_factorization': [[[15, -9, 1], 1]], 'hecke_orbit_code': 103582791463077910, 'p': 41}
  • id: 2404313
    {'charpoly_factorization': [[[-80, -4, 1], 1]], 'hecke_orbit_code': 103582791463077910, 'p': 43}
  • id: 2404314
    {'charpoly_factorization': [[[60, -18, 1], 1]], 'hecke_orbit_code': 103582791463077910, 'p': 47}
  • id: 2404315
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 103582791463077910, 'p': 53}
  • id: 2404316
    {'charpoly_factorization': [[[60, -18, 1], 1]], 'hecke_orbit_code': 103582791463077910, 'p': 59}
  • id: 2404317
    {'charpoly_factorization': [[[-35, -7, 1], 1]], 'hecke_orbit_code': 103582791463077910, 'p': 61}
  • id: 2404318
    {'charpoly_factorization': [[[-80, -4, 1], 1]], 'hecke_orbit_code': 103582791463077910, 'p': 67}
  • id: 2404319
    {'charpoly_factorization': [[[-45, 3, 1], 1]], 'hecke_orbit_code': 103582791463077910, 'p': 71}
  • id: 2404320
    {'charpoly_factorization': [[[-188, 2, 1], 1]], 'hecke_orbit_code': 103582791463077910, 'p': 73}
  • id: 2404321
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 103582791463077910, 'p': 79}
  • id: 2404322
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 103582791463077910, 'p': 83}
  • id: 2404323
    {'charpoly_factorization': [[[-48, 12, 1], 1]], 'hecke_orbit_code': 103582791463077910, 'p': 89}
  • id: 2404324
    {'charpoly_factorization': [[[-119, -7, 1], 1]], 'hecke_orbit_code': 103582791463077910, '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': 24, 'label': '2070.2.a.x', 'level': 2070, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 65834095
    {'hecke_orbit_code': 103582791463077910, 'n': 1, 'trace_an': 2}
  • id: 65834096
    {'hecke_orbit_code': 103582791463077910, 'n': 2, 'trace_an': 2}
  • id: 65834097
    {'hecke_orbit_code': 103582791463077910, 'n': 3, 'trace_an': 0}
  • id: 65834098
    {'hecke_orbit_code': 103582791463077910, 'n': 4, 'trace_an': 2}
  • id: 65834099
    {'hecke_orbit_code': 103582791463077910, 'n': 5, 'trace_an': 2}
  • id: 65834100
    {'hecke_orbit_code': 103582791463077910, 'n': 6, 'trace_an': 0}
  • id: 65834101
    {'hecke_orbit_code': 103582791463077910, 'n': 7, 'trace_an': 1}
  • id: 65834102
    {'hecke_orbit_code': 103582791463077910, 'n': 8, 'trace_an': 2}
  • id: 65834103
    {'hecke_orbit_code': 103582791463077910, 'n': 9, 'trace_an': 0}
  • id: 65834104
    {'hecke_orbit_code': 103582791463077910, 'n': 10, 'trace_an': 2}
  • id: 65834105
    {'hecke_orbit_code': 103582791463077910, 'n': 11, 'trace_an': -3}
  • id: 65834106
    {'hecke_orbit_code': 103582791463077910, 'n': 12, 'trace_an': 0}
  • id: 65834107
    {'hecke_orbit_code': 103582791463077910, 'n': 13, 'trace_an': 7}
  • id: 65834108
    {'hecke_orbit_code': 103582791463077910, 'n': 14, 'trace_an': 1}
  • id: 65834109
    {'hecke_orbit_code': 103582791463077910, 'n': 15, 'trace_an': 0}
  • id: 65834110
    {'hecke_orbit_code': 103582791463077910, 'n': 16, 'trace_an': 2}
  • id: 65834111
    {'hecke_orbit_code': 103582791463077910, 'n': 17, 'trace_an': 3}
  • id: 65834112
    {'hecke_orbit_code': 103582791463077910, 'n': 18, 'trace_an': 0}
  • id: 65834113
    {'hecke_orbit_code': 103582791463077910, 'n': 19, 'trace_an': 7}
  • id: 65834114
    {'hecke_orbit_code': 103582791463077910, 'n': 20, 'trace_an': 2}
  • id: 65834115
    {'hecke_orbit_code': 103582791463077910, 'n': 21, 'trace_an': 0}
  • id: 65834116
    {'hecke_orbit_code': 103582791463077910, 'n': 22, 'trace_an': -3}
  • id: 65834117
    {'hecke_orbit_code': 103582791463077910, 'n': 23, 'trace_an': -2}
  • id: 65834118
    {'hecke_orbit_code': 103582791463077910, 'n': 24, 'trace_an': 0}
  • id: 65834119
    {'hecke_orbit_code': 103582791463077910, 'n': 25, 'trace_an': 2}
  • id: 65834120
    {'hecke_orbit_code': 103582791463077910, 'n': 26, 'trace_an': 7}
  • id: 65834121
    {'hecke_orbit_code': 103582791463077910, 'n': 27, 'trace_an': 0}
  • id: 65834122
    {'hecke_orbit_code': 103582791463077910, 'n': 28, 'trace_an': 1}
  • id: 65834123
    {'hecke_orbit_code': 103582791463077910, 'n': 29, 'trace_an': -6}
  • id: 65834124
    {'hecke_orbit_code': 103582791463077910, 'n': 30, 'trace_an': 0}
  • id: 65834125
    {'hecke_orbit_code': 103582791463077910, 'n': 31, 'trace_an': 7}
  • id: 65834126
    {'hecke_orbit_code': 103582791463077910, 'n': 32, 'trace_an': 2}
  • id: 65834127
    {'hecke_orbit_code': 103582791463077910, 'n': 33, 'trace_an': 0}
  • id: 65834128
    {'hecke_orbit_code': 103582791463077910, 'n': 34, 'trace_an': 3}
  • id: 65834129
    {'hecke_orbit_code': 103582791463077910, 'n': 35, 'trace_an': 1}
  • id: 65834130
    {'hecke_orbit_code': 103582791463077910, 'n': 36, 'trace_an': 0}
  • id: 65834131
    {'hecke_orbit_code': 103582791463077910, 'n': 37, 'trace_an': -8}
  • id: 65834132
    {'hecke_orbit_code': 103582791463077910, 'n': 38, 'trace_an': 7}
  • id: 65834133
    {'hecke_orbit_code': 103582791463077910, 'n': 39, 'trace_an': 0}
  • id: 65834134
    {'hecke_orbit_code': 103582791463077910, 'n': 40, 'trace_an': 2}
  • id: 65834135
    {'hecke_orbit_code': 103582791463077910, 'n': 41, 'trace_an': 9}
  • id: 65834136
    {'hecke_orbit_code': 103582791463077910, 'n': 42, 'trace_an': 0}
  • id: 65834137
    {'hecke_orbit_code': 103582791463077910, 'n': 43, 'trace_an': 4}
  • id: 65834138
    {'hecke_orbit_code': 103582791463077910, 'n': 44, 'trace_an': -3}
  • id: 65834139
    {'hecke_orbit_code': 103582791463077910, 'n': 45, 'trace_an': 0}
  • id: 65834140
    {'hecke_orbit_code': 103582791463077910, 'n': 46, 'trace_an': -2}
  • id: 65834141
    {'hecke_orbit_code': 103582791463077910, 'n': 47, 'trace_an': 18}
  • id: 65834142
    {'hecke_orbit_code': 103582791463077910, 'n': 48, 'trace_an': 0}
  • id: 65834143
    {'hecke_orbit_code': 103582791463077910, 'n': 49, 'trace_an': -3}
  • id: 65834144
    {'hecke_orbit_code': 103582791463077910, 'n': 50, 'trace_an': 2}
  • id: 65834145
    {'hecke_orbit_code': 103582791463077910, 'n': 51, 'trace_an': 0}
  • id: 65834146
    {'hecke_orbit_code': 103582791463077910, 'n': 52, 'trace_an': 7}
  • id: 65834147
    {'hecke_orbit_code': 103582791463077910, 'n': 53, 'trace_an': -12}
  • id: 65834148
    {'hecke_orbit_code': 103582791463077910, 'n': 54, 'trace_an': 0}
  • id: 65834149
    {'hecke_orbit_code': 103582791463077910, 'n': 55, 'trace_an': -3}
  • id: 65834150
    {'hecke_orbit_code': 103582791463077910, 'n': 56, 'trace_an': 1}
  • id: 65834151
    {'hecke_orbit_code': 103582791463077910, 'n': 57, 'trace_an': 0}
  • id: 65834152
    {'hecke_orbit_code': 103582791463077910, 'n': 58, 'trace_an': -6}
  • id: 65834153
    {'hecke_orbit_code': 103582791463077910, 'n': 59, 'trace_an': 18}
  • id: 65834154
    {'hecke_orbit_code': 103582791463077910, 'n': 60, 'trace_an': 0}
  • id: 65834155
    {'hecke_orbit_code': 103582791463077910, 'n': 61, 'trace_an': 7}
  • id: 65834156
    {'hecke_orbit_code': 103582791463077910, 'n': 62, 'trace_an': 7}
  • id: 65834157
    {'hecke_orbit_code': 103582791463077910, 'n': 63, 'trace_an': 0}
  • id: 65834158
    {'hecke_orbit_code': 103582791463077910, 'n': 64, 'trace_an': 2}
  • id: 65834159
    {'hecke_orbit_code': 103582791463077910, 'n': 65, 'trace_an': 7}
  • id: 65834160
    {'hecke_orbit_code': 103582791463077910, 'n': 66, 'trace_an': 0}
  • id: 65834161
    {'hecke_orbit_code': 103582791463077910, 'n': 67, 'trace_an': 4}
  • id: 65834162
    {'hecke_orbit_code': 103582791463077910, 'n': 68, 'trace_an': 3}
  • id: 65834163
    {'hecke_orbit_code': 103582791463077910, 'n': 69, 'trace_an': 0}
  • id: 65834164
    {'hecke_orbit_code': 103582791463077910, 'n': 70, 'trace_an': 1}
  • id: 65834165
    {'hecke_orbit_code': 103582791463077910, 'n': 71, 'trace_an': -3}
  • id: 65834166
    {'hecke_orbit_code': 103582791463077910, 'n': 72, 'trace_an': 0}
  • id: 65834167
    {'hecke_orbit_code': 103582791463077910, 'n': 73, 'trace_an': -2}
  • id: 65834168
    {'hecke_orbit_code': 103582791463077910, 'n': 74, 'trace_an': -8}
  • id: 65834169
    {'hecke_orbit_code': 103582791463077910, 'n': 75, 'trace_an': 0}
  • id: 65834170
    {'hecke_orbit_code': 103582791463077910, 'n': 76, 'trace_an': 7}
  • id: 65834171
    {'hecke_orbit_code': 103582791463077910, 'n': 77, 'trace_an': -12}
  • id: 65834172
    {'hecke_orbit_code': 103582791463077910, 'n': 78, 'trace_an': 0}
  • id: 65834173
    {'hecke_orbit_code': 103582791463077910, 'n': 79, 'trace_an': 16}
  • id: 65834174
    {'hecke_orbit_code': 103582791463077910, 'n': 80, 'trace_an': 2}
  • id: 65834175
    {'hecke_orbit_code': 103582791463077910, 'n': 81, 'trace_an': 0}
  • id: 65834176
    {'hecke_orbit_code': 103582791463077910, 'n': 82, 'trace_an': 9}
  • id: 65834177
    {'hecke_orbit_code': 103582791463077910, 'n': 83, 'trace_an': 12}
  • id: 65834178
    {'hecke_orbit_code': 103582791463077910, 'n': 84, 'trace_an': 0}
  • id: 65834179
    {'hecke_orbit_code': 103582791463077910, 'n': 85, 'trace_an': 3}
  • id: 65834180
    {'hecke_orbit_code': 103582791463077910, 'n': 86, 'trace_an': 4}
  • id: 65834181
    {'hecke_orbit_code': 103582791463077910, 'n': 87, 'trace_an': 0}
  • id: 65834182
    {'hecke_orbit_code': 103582791463077910, 'n': 88, 'trace_an': -3}
  • id: 65834183
    {'hecke_orbit_code': 103582791463077910, 'n': 89, 'trace_an': -12}
  • id: 65834184
    {'hecke_orbit_code': 103582791463077910, 'n': 90, 'trace_an': 0}
  • id: 65834185
    {'hecke_orbit_code': 103582791463077910, 'n': 91, 'trace_an': -7}
  • id: 65834186
    {'hecke_orbit_code': 103582791463077910, 'n': 92, 'trace_an': -2}
  • id: 65834187
    {'hecke_orbit_code': 103582791463077910, 'n': 93, 'trace_an': 0}
  • id: 65834188
    {'hecke_orbit_code': 103582791463077910, 'n': 94, 'trace_an': 18}
  • id: 65834189
    {'hecke_orbit_code': 103582791463077910, 'n': 95, 'trace_an': 7}
  • id: 65834190
    {'hecke_orbit_code': 103582791463077910, 'n': 96, 'trace_an': 0}
  • id: 65834191
    {'hecke_orbit_code': 103582791463077910, 'n': 97, 'trace_an': 7}
  • id: 65834192
    {'hecke_orbit_code': 103582791463077910, 'n': 98, 'trace_an': -3}
  • id: 65834193
    {'hecke_orbit_code': 103582791463077910, 'n': 99, 'trace_an': 0}
  • id: 65834194
    {'hecke_orbit_code': 103582791463077910, 'n': 100, 'trace_an': 2}