Embedded newform data - 1710.2.a.p.1.1

Formats: - HTML - YAML - JSON - 2022-06-25T14:02:50.819250

• 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_indexes	integer[]
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 6840, 'analytic_conductor': 13.654418745638946, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 1], [5, -1], [19, 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': [1710, 1, [191, 1027, 1351], [1, 1, 1]], 'cm_discs': [], 'conrey_indexes': [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': [[7, [4, 1]], [11, [6, 1]], [13, [0, 1]], [53, [6, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994444113582, '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_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1710.2.a.p', 'level': 1710, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 19], 'level_radical': 570, 'minimal_twist': '1710.2.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{2}+q^{4}+q^{5}-4q^{7}+q^{8}+q^{10}+\\cdots', 'related_objects': ['EllipticCurve/Q/1710/p'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1710.2.a', 'trace_display': [1, 0, 1, -4], 'trace_hash': 740513471015674605, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.030', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.141', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.512', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.021', 'prec': 17}, 'traces': [1, 1, 0, 1, 1, 0, -4, 1, 0, 1, -6, 0, 0, -4, 0, 1, 4, 0, -1, 1, 0, -6, -4, 0, 1, 0, 0, -4, -10, 0, -2, 1, 0, 4, -4, 0, -4, -1, 0, 1, 10, 0, -12, -6, 0, -4, 0, 0, 9, 1, 0, 0, -6, 0, -6, -4, 0, -10, 4, 0, -10, -2, 0, 1, 0, 0, -8, 4, 0, -4, 0, 0, 6, -4, 0, -1, 24, 0, -10, 1, 0, 10, 14, 0, 4, -12, 0, -6, 10, 0, 0, -4, 0, 0, -1, 0, -6, 9, 0, 1, 10, 0, 18, 0, 0, -6, 0, 0, -8, -6, 0, -4, -2, 0, -4, -10, 0, 4, -16, 0, 25, -10, 0, -2, 1, 0, 18, 1, 0, 0, -10, 0, 4, -8, 0, 4, 12, 0, -12, -4, 0, 0, 0, 0, -10, 6, 0, -4, -10, 0, -18, -1, 0, 24, -2, 0, -18, -10, 0, 1, 16, 0, 12, 10, 0, 14, -8, 0, -13, 4, 0, -12, 18, 0, -4, -6, 0, 10, 0, 0, -16, 0, 0, -4, -4, 0, -24, 0, 0, -1, 16, 0, -2, -6, 0, 9, 10, 0, 20, 1, 0, 10, 40, 0, 10, 18, 0, 0, 6, 0, -4, -6, 0, 0, -12, 0, 8, -8, 0, -6, 0, 0, 14, -4, 0, -2, -8, 0, -18, -4, 0, -10, 4, 0, 0, 4, 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24, 0, -56, 70, 0, -28, 50, 0, 0, 0, 0, 0, 36, 0, -60, -8, 0, 6, -72, 0, 40, -48, 0, -24, -16, 0, -100, 26, 0, -18, -104, 0, 42, 8, 0, 0, 76, 0, 72, 34, 0, -4, 2, 0, -112, 48, 0, 4, 0, 0, 86, 16, 0, -4, 18, 0, 84, -4, 0, -6, 72, 0, -44, 52, 0, 24, 32, 0, -76, 8, 0, -12, -16, 0, 0, 22, 0, -10, 24, 0, 18, 12, 0, 22, -180, 0, -90, 0, 0, -24, 60, 0, 0, 0, 0, 6, -36, 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], [-1.511857892036909, 0.0], [0.3535533905932738, 0.0], [0.0, 0.0], [0.31622776601683794, 0.0], [-1.8090680674665818, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0690449676496976, 0.0], [0.0, 0.0], [0.25, 0.0], [0.9701425001453319, 0.0], [0.0, 0.0], [-0.22941573387056177, 0.0], [0.22360679774997896, 0.0], [0.0, 0.0], [-1.2792042981336627, 0.0], [-0.8340576562282991, 0.0], [0.0, 0.0], [0.2, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.7559289460184545, 0.0], [-1.8569533817705186, 0.0], [0.0, 0.0], [-0.3592106040535498, 0.0], [0.1767766952966369, 0.0], [0.0, 0.0], [0.6859943405700354, 0.0], [-0.6761234037828132, 0.0], [0.0, 0.0], [-0.6575959492214292, 0.0], [-0.16222142113076254, 0.0], [0.0, 0.0], [0.15811388300841897, 0.0], [1.5617376188860606, 0.0], [0.0, 0.0], [-1.829982843991256, 0.0], [-0.9045340337332909, 0.0], [0.0, 0.0], [-0.5897678246195885, 0.0], [0.0, 0.0], [0.0, 0.0], [1.2857142857142858, 0.0], [0.1414213562373095, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8241633836921342, 0.0], [0.0, 0.0], [-0.8090398349558905, 0.0], [-0.5345224838248488, 0.0], [0.0, 0.0], [-1.3130643285972257, 0.0], [0.5207556439232954, 0.0], [0.0, 0.0], [-1.2803687993289596, 0.0], [-0.254000254000381, 0.0], [0.0, 0.0], [0.125, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9773555548504418, 0.0], [0.48507125007266594, 0.0], [0.0, 0.0], [-0.47809144373375745, 0.0], [0.0, 0.0], [0.0, 0.0], [0.7022468831767834, 0.0], [-0.46499055497527714, 0.0], [0.0, 0.0], [-0.11470786693528089, 0.0], [2.735053835031311, 0.0], [0.0, 0.0], [-1.125087900926024, 0.0], [0.11180339887498948, 0.0], [0.0, 0.0], [1.1043152607484654, 0.0], [1.536699639855665, 0.0], [0.0, 0.0], [0.4338609156373123, 0.0], [-1.2939932784412609, 0.0], [0.0, 0.0], [-0.6396021490668313, 0.0], [1.05999788000636, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.41702882811414954, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.10259783520851541, 0.0], [0.0, 0.0], 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-0.13216843036828604, -0.33415276218709217, -0.24236837217465382, -0.2884509195614617, -0.10551293570392918, -0.21945454214323323, -0.06196168070807678, -0.21966336057038277, -0.06303976258666451, -0.22734658771988084, -0.21598924754754265, -0.28391527023502494, -0.27999792880005314, -0.2047601226478648, -0.27229250830718954, -0.07848015629959379, -0.3025152563344864, -0.1280205010048361, -0.17766278828525886, -0.36671781731896574, -0.23529263011960744, -0.313959700023689, -0.31374593266858847, -0.22437756191883285, -0.35588963486506553, -0.14004894937910214, -0.1202628989707853, -0.34580967733413487, -0.1948548197298619, -0.09331444261240045, -0.2787777145116378, -0.22851216522065673, -0.29702706933801565, -0.16395503380936147, -0.15981827124636422], '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': 16, 'hecke_orbit_code': 67553994444113582, 'label': '1710.2.a.p.1.1', 'level': 1710, 'weight': 2}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_indexes	integer[]
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'AL_dims': [[[[2, -1], [3, -1], [5, -1], [19, -1]], 1, 1], [[[2, -1], [3, 1], [5, 1], [19, -1]], 1, 1], [[[2, -1], [3, 1], [5, 1], [19, 1]], 2, 1], [[[2, 1], [3, 1], [5, -1], [19, -1]], 1, 1], [[[2, 1], [3, -1], [5, -1], [19, 1]], 1, 1], [[[2, 1], [3, 1], [5, -1], [19, 1]], 2, 1], [[[2, -1], [3, 1], [5, -1], [19, 1]], 1, 1], [[[2, 1], [3, 1], [5, 1], [19, 1]], 1, 1], [[[2, -1], [3, 1], [5, -1], [19, -1]], 2, 1], [[[2, 1], [3, 1], [5, 1], [19, -1]], 2, 1], [[[2, 1], [3, -1], [5, -1], [19, -1]], 3, 3], [[[2, 1], [3, -1], [5, 1], [19, -1]], 3, 3], [[[2, -1], [3, -1], [5, 1], [19, -1]], 2, 2], [[[2, 1], [3, -1], [5, 1], [19, 1]], 2, 2], [[[2, -1], [3, -1], [5, -1], [19, 1]], 3, 3], [[[2, -1], [3, -1], [5, 1], [19, 1]], 3, 2]], 'Nk2': 6840, 'analytic_conductor': 13.654418745638946, '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': [1710, 1, [191, 1027, 1351], [1, 1, 1]], 'conrey_indexes': [1], 'cusp_dim': 345, 'dim': 30, 'eis_dim': 31, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 13, 53], 'hecke_orbit_code': 33556142, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2], 'label': '1710.2.a', 'level': 1710, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 19], 'level_radical': 570, 'mf_dim': 376, 'mf_new_dim': 30, 'num_forms': 25, 'plus_dim': 12, 'prim_orbit_index': 1, 'relative_dim': 30, 'sturm_bound': 720, 'trace_bound': 13, 'trace_display': [0, 0, -2, 0], 'traces': [30, 0, 0, 30, -2, 0, 0, 0, 0, 0, 0, 0, 8, -4, 0, 30, 0, 0, 0, -2, 0, 0, -16, 0, 30, -16, 0, 0, -4, 0, -8, 0, 0, -8, 4, 0, -16, -6, 0, 0, -4, 0, -20, 0, 0, -12, 20, 0, 50, 0, 0, 8, 16, 0, -24, -4, 0, -20, 48, 0, -12, -8, 0, 30, 0, 0, 0, 0, 0, 12, 8, 0, -8, 12, 0, 0, 0, 0, 0, -2, 0, 16, 36, 0, 36, -12, 0, 0, 4, 0, 32, -16, 0, 4, 0, 0, -16, -16, 0, 30, 52, 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120, -96, 0, 104, -24, 0, -190, 48, 0, 84, -180, 0, -24, -12, 0, 48, -80, 0, -4, 16, 0, -20, 20, 0, -56, 20, 0, -16, 116, 0, 124, -104, 0, 44, -288, 0, -160, -4, 0, 160, -144, 0, -132, 16, 0, 0, 4, 0, 0, -120, 0, -176, -12, 0, -124, 168, 0, -8, -188, 0, 144, 4, 0, 128, 136, 0, 84, -8, 0, -16, 104, 0, -120, -28, 0, 144, -312, 0, -48, -192, 0, 30, -22, 0, -192, -112, 0, -20, -8, 0, 116, -196, 0, 32, 64, 0, 8, -36, 0, -56, -40, 0, 88, -56, 0, 44, -48, 0, 128, -16, 0, -160, 48, 0, 152, -32, 0, 28, -244, 0, -124, -80, 0, -152, -152, 0, -36, -96, 0, -48, -276, 0, 48, 104, 0, 60, 32, 0, 24, -40, 0, 4, -168, 0, -432, 180, 0, -112, -344, 0, -264, 24, 0, -24, 176, 0, -136, 0, 0, -16, -16, 0, -12, -60, 0, -16, 80, 0, 48, -80, 0, 32, -32, 0, -164, 176, 0, 40, 104, 0, -32, -76, 0, 200, 296, 0, -508, -8, 0, -16, -96, 0, -64, 4, 0, 20, -128, 0, -176, 48, 0, -20, 36, 0, -372, -16, 0, -88, -144, 0, -216, 164, 0, 24, 12, 0, -400, 8, 0, -256, 184, 0, -112, 112, 0, 92, -40, 0, 40, -8, 0, -24, 192, 0, 60, 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-112, 0, -4, 60, 0, -192, 120, 0, 262, 12, 0, -164, 384, 0, -192, -4, 0, -112, -288, 0, 92, -26, 0, -16, -40, 0, -156, 44, 0, 0, 112, 0, -48, -72, 0, -72, -320, 0, -228, -4, 0, -124, -152, 0, 40, 112, 0, -4, -68, 0, 304, -16, 0, 196, 8, 0, 44, 92, 0, 0, 76, 0, -192, -28, 0, 212, 12, 0, -72, 144, 0, -8, -16, 0, -72, -40, 0, -88, -8, 0, 272, 64, 0, -96, 0, 0, 56, -24, 0, -68, -192, 0, -56, -124, 0, 22, -176, 0, 96, -8, 0, 224, -140, 0, -60, 72, 0, -120, 212, 0, -256, 48, 0, -348, 80, 0, -48, 16, 0, -32, 336, 0, -56, 16, 0, -56, -496, 0, 32, -64, 0, -176, -60, 0, 0, 8, 0, -16, 56, 0, -488, -128, 0, -8, -140, 0, 236, 48, 0, 72, 208, 0, -204, 88, 0, -152, -32, 0, -84, -2, 0, 16, -224, 0, -12, 20, 0, -80, -28, 0, 288, 0, 0, -48, -24, 0, 128, -112, 0, 36, -336, 0, -172, -24, 0, 216, 32, 0, -28, -64, 0, 40, -84, 0, 16, 68, 0, 284, -128, 0, -488, 396, 0, 36, 140, 0, -88, 0, 0, 16, -320, 0, 100, -264, 0, -12, 0, 0, -440, -80, 0, 136, 108, 0, -160, 16, 0, -112, -164, 0, -52, -48, 0, -80, 36, 0, -16, 104, 0, -4, -36, 0, -80, -36, 0, 72, 76, 0, 244, -24, 0, -184, 8, 0, 120, 0, 0, 32, 72, 0, -400, -128, 0, -28, -4, 0, -356, 128, 0, -8, 424, 0, 504, -216, 0, 114, 176, 0, 216, -36, 0, 240, -160, 0, 36, 16, 0, 4, -308, 0, 32, 8, 0, -112, 144, 0, 224, 40, 0, -16, -4, 0, 80, 44, 0, -184, 12, 0, 224, -12, 0, -16, 192, 0, -64, 192, 0, 176, 232, 0, -20, 320, 0, -212, 72, 0, -32, 72, 0, -40, 520, 0, -168, 148, 0, -8, 84, 0, -240, -12, 0, 68, 104, 0, 12, -36, 0, -32, 16, 0, 244, -32, 0, -148, 8, 0, -104, -64, 0, 0, -176, 0, -376, 28, 0, 116, -24, 0, 14, 32, 0, -40, -220, 0, -68, -48, 0, 448, 112, 0, -92, -176, 0, -80, 4, 0, -280, 4, 0, 16, 160, 0, -472, -160, 0, 72, 80, 0, 268, 4, 0, -16, -140, 0, 132, -24, 0, 0, 0, 0, 56, 32, 0, -28, 0, 0, 224, 200, 0, -40, 24, 0, 192, 12, 0, -224, -20, 0, 172, 48, 0, -48, 376, 0, 32, 12, 0, -172, -136, 0, 144, 416, 0, -72, -220, 0, 32, 24, 0, -144, -16, 0, 192, 144, 0, 80, 0, 0, -64, -16, 0, 48, -284, 0, 52, -44, 0, -8, 20, 0, -112, 32, 0, -120, 68, 0, 88, -4, 0, -12, -312, 0, -280, 24, 0, 20, -48, 0, 172, 32, 0, 104, 144, 0, 52, 8, 0, -72, 200, 0, 44, 256, 0, -48, -8, 0, 112, -20, 0, 4, -16, 0, 168, 96, 0, -24, 12, 0, 216, -56, 0, 4, 584, 0, -80, -316, 0, -16, -24, 0, 40, -156, 0, -36, 0, 0, -56, 72, 0, 32, -76, 0, 736, -28, 0, 108, -128, 0, 28, 136, 0, 76, 208, 0, 32, 80, 0, 144, 180, 0, 14, -288, 0, 140, -104, 0, -344, 16, 0, -8, -32, 0, 64, 168, 0, 16, 256, 0, 344, 86, 0, -240, 280, 0, -16, 64, 0, 176, -192, 0, -184, -6, 0, 80, -72, 0, 44, 180, 0, -32, 364, 0, 168, -8, 0, 284, 96, 0, 288, -16, 0, 52, -112, 0, 96, -8, 0, 24, 56, 0, 200, 168, 0, 56, -8, 0, -236, 76, 0, 16, 140, 0, -336, 64, 0, -16, -212, 0, -72, 24, 0, -112, -184, 0, 80, 144, 0, 72, -56, 0, -344, -8, 0, 472, 144, 0, 312, -112, 0, 30, -344, 0, 328, -64, 0, -208, 0, 0, -96, 32, 0, 36, -404, 0, -132, 96, 0, -48, 400, 0, -84, -24, 0, -56, 52, 0, 0, 8, 0, 16, 392, 0, 216, 128, 0, -88, -224, 0, 240, -48, 0, -208, -136, 0, -52, 64, 0, 64, -236, 0, 112, 0, 0, -216, -256, 0, 68, 176, 0, 0, -40, 0, 0, 124, 0, -204, -240, 0, -480, 20, 0, 20, 64, 0, 8, 60, 0, -32, -8, 0, 360, -204, 0, -16, 112, 0, 344, 56, 0, -24, -424, 0, 252, -208, 0, 56, 296, 0, -296, -16, 0, 168, -72, 0, 20, -20, 0, -20, -208, 0, 144, 132, 0, 204, 64, 0, -240, -24, 0, -40, -132, 0, 248, -4, 0, 88, 160, 0, 240, -132, 0, -32, -60, 0, 64, 32, 0, -112, -12, 0, -40, -104, 0, 36, -162, 0, 168, -60, 0, -40, -544, 0, -232, -4, 0, 36, 4, 0, -176, -12, 0, -192, 0, 0, -88, -64, 0, 0, 168, 0, -68, -48, 0, -176, 24, 0, 852, 200, 0, 24, 72, 0, 212, -144, 0, 16, 328, 0, 180, -48, 0, 0, -160, 0, -176, -196, 0, -40, -304, 0, 288, -96, 0, 86, 124, 0, 308, -16, 0, 56, 200, 0, 80, 356, 0, 176, 112, 0, 72, 0, 0, 104, -56, 0, 28, 136, 0, 80, -52, 0, -24, 224, 0, 144, 160, 0, -44, -256, 0, 4, 220, 0, -468, 40, 0, 304, -216, 0, 420, 8, 0, -20, 100, 0, -8, -44, 0, -160, 48, 0, 208, 216, 0, -112, 176, 0, 352, 8, 0, 40, -216, 0, 128, 72, 0, 148, -136, 0, -64, 24, 0, 32, -176, 0, 52, -320, 0, -112, 172, 0, 252, -24, 0, -144, -312, 0, -172, -184, 0, 0, -100, 0, 344, -108, 0, 152, -128, 0, 230, -16, 0, 36, -336, 0, -48, 0, 0, -160, -80, 0, -416, 216, 0, -56, -8, 0, 176, 88, 0, 196, 96, 0, 224, 24, 0, 220, 116, 0, -184, 16, 0, -456, 336, 0, 228, -36, 0, 56, -240, 0, 264, 304, 0, -236, -136, 0, 216, -64, 0, 32, 356, 0, -200, 56, 0, 100, 184, 0, 88, -80, 0, 128, -676, 0, -4, -100, 0, -192, 160, 0, 688, -176, 0, 8, 68, 0, -128, 0, 0, -80, 72, 0, -560, 32, 0, -28, -48, 0, -120, -4, 0, -344, 360, 0, -240, -160, 0, 144, -68, 0, -176, 68, 0, 192, 32, 0, -48, -212, 0, 0, 328, 0, 208, 104, 0, -16, 120, 0, -144, -132, 0, -12, 272, 0, 212, 28, 0, -288, -200, 0, 336, -432, 0, -12, -16, 0, -192, -88, 0, -4, -180, 0, -264, 20, 0, 184, -464, 0, -112, 16, 0, -296, 488, 0, -44, 36, 0, 204, 136, 0, -24, -280, 0, 212, -28, 0, -408, 48, 0, 92, -400, 0, 64, 16, 0, 56, 400, 0, -580, 104, 0, 16, 416, 0, 88, -104, 0, -128, -164, 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: 47889277
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444113582, 'source_is_minimal': True, 'source_label': '1710.2.a.p.1.1', 'source_level': 1710, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444113582, 'target_is_minimal': True, 'target_label': '1710.2.a.p.1.1', 'target_level': 1710, 'twist_class_label': '1710.2.a.a.1.1', 'twist_class_level': 1710, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47889278
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444113582, 'source_is_minimal': True, 'source_label': '1710.2.a.p.1.1', 'source_level': 1710, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33556142, 'target_is_minimal': True, 'target_label': '1710.2.a.a.1.1', 'target_level': 1710, 'twist_class_label': '1710.2.a.a.1.1', 'twist_class_level': 1710, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47889279
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444113582, 'source_is_minimal': True, 'source_label': '1710.2.a.p.1.1', 'source_level': 1710, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 72057594071490918, 'target_is_minimal': False, 'target_label': '8550.2.a.q.1.1', 'target_level': 8550, 'twist_class_label': '1710.2.a.a.1.1', 'twist_class_level': 1710, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 47889280
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444113582, 'source_is_minimal': True, 'source_label': '1710.2.a.p.1.1', 'source_level': 1710, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 166633186246271334, 'target_is_minimal': False, 'target_label': '8550.2.a.bl.1.1', 'target_level': 8550, 'twist_class_label': '1710.2.a.a.1.1', 'twist_class_level': 1710, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2147725
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 2}
  • id: 2147726
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 3}
  • id: 2147727
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 5}
  • id: 2147728
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 7}
  • id: 2147729
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 11}
  • id: 2147730
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 13}
  • id: 2147731
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 17}
  • id: 2147732
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 19}
  • id: 2147733
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 23}
  • id: 2147734
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 29}
  • id: 2147735
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 31}
  • id: 2147736
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 37}
  • id: 2147737
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 41}
  • id: 2147738
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 43}
  • id: 2147739
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 47}
  • id: 2147740
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 53}
  • id: 2147741
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 59}
  • id: 2147742
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 61}
  • id: 2147743
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 67}
  • id: 2147744
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 71}
  • id: 2147745
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 73}
  • id: 2147746
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 79}
  • id: 2147747
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 83}
  • id: 2147748
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 67553994444113582, 'p': 89}
  • id: 2147749
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 67553994444113582, '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': 16, 'label': '1710.2.a.p', 'level': 1710, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 234064000
    {'hecke_orbit_code': 67553994444113582, 'n': 1, 'trace_an': 1}
  • id: 234064001
    {'hecke_orbit_code': 67553994444113582, 'n': 2, 'trace_an': 1}
  • id: 234064002
    {'hecke_orbit_code': 67553994444113582, 'n': 3, 'trace_an': 0}
  • id: 234064003
    {'hecke_orbit_code': 67553994444113582, 'n': 4, 'trace_an': 1}
  • id: 234064004
    {'hecke_orbit_code': 67553994444113582, 'n': 5, 'trace_an': 1}
  • id: 234064005
    {'hecke_orbit_code': 67553994444113582, 'n': 6, 'trace_an': 0}
  • id: 234064006
    {'hecke_orbit_code': 67553994444113582, 'n': 7, 'trace_an': -4}
  • id: 234064007
    {'hecke_orbit_code': 67553994444113582, 'n': 8, 'trace_an': 1}
  • id: 234064008
    {'hecke_orbit_code': 67553994444113582, 'n': 9, 'trace_an': 0}
  • id: 234064009
    {'hecke_orbit_code': 67553994444113582, 'n': 10, 'trace_an': 1}
  • id: 234064010
    {'hecke_orbit_code': 67553994444113582, 'n': 11, 'trace_an': -6}
  • id: 234064011
    {'hecke_orbit_code': 67553994444113582, 'n': 12, 'trace_an': 0}
  • id: 234064012
    {'hecke_orbit_code': 67553994444113582, 'n': 13, 'trace_an': 0}
  • id: 234064013
    {'hecke_orbit_code': 67553994444113582, 'n': 14, 'trace_an': -4}
  • id: 234064014
    {'hecke_orbit_code': 67553994444113582, 'n': 15, 'trace_an': 0}
  • id: 234064015
    {'hecke_orbit_code': 67553994444113582, 'n': 16, 'trace_an': 1}
  • id: 234064016
    {'hecke_orbit_code': 67553994444113582, 'n': 17, 'trace_an': 4}
  • id: 234064017
    {'hecke_orbit_code': 67553994444113582, 'n': 18, 'trace_an': 0}
  • id: 234064018
    {'hecke_orbit_code': 67553994444113582, 'n': 19, 'trace_an': -1}
  • id: 234064019
    {'hecke_orbit_code': 67553994444113582, 'n': 20, 'trace_an': 1}
  • id: 234064020
    {'hecke_orbit_code': 67553994444113582, 'n': 21, 'trace_an': 0}
  • id: 234064021
    {'hecke_orbit_code': 67553994444113582, 'n': 22, 'trace_an': -6}
  • id: 234064022
    {'hecke_orbit_code': 67553994444113582, 'n': 23, 'trace_an': -4}
  • id: 234064023
    {'hecke_orbit_code': 67553994444113582, 'n': 24, 'trace_an': 0}
  • id: 234064024
    {'hecke_orbit_code': 67553994444113582, 'n': 25, 'trace_an': 1}
  • id: 234064025
    {'hecke_orbit_code': 67553994444113582, 'n': 26, 'trace_an': 0}
  • id: 234064026
    {'hecke_orbit_code': 67553994444113582, 'n': 27, 'trace_an': 0}
  • id: 234064027
    {'hecke_orbit_code': 67553994444113582, 'n': 28, 'trace_an': -4}
  • id: 234064028
    {'hecke_orbit_code': 67553994444113582, 'n': 29, 'trace_an': -10}
  • id: 234064029
    {'hecke_orbit_code': 67553994444113582, 'n': 30, 'trace_an': 0}
  • id: 234064030
    {'hecke_orbit_code': 67553994444113582, 'n': 31, 'trace_an': -2}
  • id: 234064031
    {'hecke_orbit_code': 67553994444113582, 'n': 32, 'trace_an': 1}
  • id: 234064032
    {'hecke_orbit_code': 67553994444113582, 'n': 33, 'trace_an': 0}
  • id: 234064033
    {'hecke_orbit_code': 67553994444113582, 'n': 34, 'trace_an': 4}
  • id: 234064034
    {'hecke_orbit_code': 67553994444113582, 'n': 35, 'trace_an': -4}
  • id: 234064035
    {'hecke_orbit_code': 67553994444113582, 'n': 36, 'trace_an': 0}
  • id: 234064036
    {'hecke_orbit_code': 67553994444113582, 'n': 37, 'trace_an': -4}
  • id: 234064037
    {'hecke_orbit_code': 67553994444113582, 'n': 38, 'trace_an': -1}
  • id: 234064038
    {'hecke_orbit_code': 67553994444113582, 'n': 39, 'trace_an': 0}
  • id: 234064039
    {'hecke_orbit_code': 67553994444113582, 'n': 40, 'trace_an': 1}
  • id: 234064040
    {'hecke_orbit_code': 67553994444113582, 'n': 41, 'trace_an': 10}
  • id: 234064041
    {'hecke_orbit_code': 67553994444113582, 'n': 42, 'trace_an': 0}
  • id: 234064042
    {'hecke_orbit_code': 67553994444113582, 'n': 43, 'trace_an': -12}
  • id: 234064043
    {'hecke_orbit_code': 67553994444113582, 'n': 44, 'trace_an': -6}
  • id: 234064044
    {'hecke_orbit_code': 67553994444113582, 'n': 45, 'trace_an': 0}
  • id: 234064045
    {'hecke_orbit_code': 67553994444113582, 'n': 46, 'trace_an': -4}
  • id: 234064046
    {'hecke_orbit_code': 67553994444113582, 'n': 47, 'trace_an': 0}
  • id: 234064047
    {'hecke_orbit_code': 67553994444113582, 'n': 48, 'trace_an': 0}
  • id: 234064048
    {'hecke_orbit_code': 67553994444113582, 'n': 49, 'trace_an': 9}
  • id: 234064049
    {'hecke_orbit_code': 67553994444113582, 'n': 50, 'trace_an': 1}
  • id: 234064050
    {'hecke_orbit_code': 67553994444113582, 'n': 51, 'trace_an': 0}
  • id: 234064051
    {'hecke_orbit_code': 67553994444113582, 'n': 52, 'trace_an': 0}
  • id: 234064052
    {'hecke_orbit_code': 67553994444113582, 'n': 53, 'trace_an': -6}
  • id: 234064053
    {'hecke_orbit_code': 67553994444113582, 'n': 54, 'trace_an': 0}
  • id: 234064054
    {'hecke_orbit_code': 67553994444113582, 'n': 55, 'trace_an': -6}
  • id: 234064055
    {'hecke_orbit_code': 67553994444113582, 'n': 56, 'trace_an': -4}
  • id: 234064056
    {'hecke_orbit_code': 67553994444113582, 'n': 57, 'trace_an': 0}
  • id: 234064057
    {'hecke_orbit_code': 67553994444113582, 'n': 58, 'trace_an': -10}
  • id: 234064058
    {'hecke_orbit_code': 67553994444113582, 'n': 59, 'trace_an': 4}
  • id: 234064059
    {'hecke_orbit_code': 67553994444113582, 'n': 60, 'trace_an': 0}
  • id: 234064060
    {'hecke_orbit_code': 67553994444113582, 'n': 61, 'trace_an': -10}
  • id: 234064061
    {'hecke_orbit_code': 67553994444113582, 'n': 62, 'trace_an': -2}
  • id: 234064062
    {'hecke_orbit_code': 67553994444113582, 'n': 63, 'trace_an': 0}
  • id: 234064063
    {'hecke_orbit_code': 67553994444113582, 'n': 64, 'trace_an': 1}
  • id: 234064064
    {'hecke_orbit_code': 67553994444113582, 'n': 65, 'trace_an': 0}
  • id: 234064065
    {'hecke_orbit_code': 67553994444113582, 'n': 66, 'trace_an': 0}
  • id: 234064066
    {'hecke_orbit_code': 67553994444113582, 'n': 67, 'trace_an': -8}
  • id: 234064067
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