Embedded newform data - 6050.2.a.l.1.1

Formats: - HTML - YAML - JSON - 2026-09-16T19:18:40.926827

• 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': 24200, 'analytic_conductor': 48.30949322287463, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [5, 1], [11, -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': [6050, 1, [727, 2301], [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': [[3, [-1, 1]], [7, [-3, 1]], [13, [0, 1]], [17, [8, 1]], [19, [-8, 1]]], 'hecke_orbit': 12, 'hecke_orbit_code': 49539595934635938, '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': '6050.2.a.l', 'level': 6050, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 11], 'level_radical': 110, 'minimal_twist': '1210.2.a.c', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}+q^{3}+q^{4}-q^{6}+3q^{7}-q^{8}+\\cdots', 'related_objects': ['EllipticCurve/Q/6050/l'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '6050.2.a', 'trace_display': [-1, 1, 0, 3], 'trace_hash': 349614417014873930, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.011', 'prec': 7}, {'__RealLiteral__': 0, 'data': '0.994', 'prec': 10}, {'__RealLiteral__': 0, 'data': '0.004', 'prec': 4}, {'__RealLiteral__': 0, 'data': '1.943', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '4.731', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.009', 'prec': 4}, 'traces': [1, -1, 1, 1, 0, -1, 3, -1, -2, 0, 0, 1, 0, -3, 0, 1, -8, 2, 8, 0, 3, 0, 0, -1, 0, 0, -5, 3, 2, 0, 6, -1, 0, 8, 0, -2, 0, -8, 0, 0, 5, -3, -1, 0, 0, 0, 5, 1, 2, 0, -8, 0, -8, 5, 0, -3, 8, -2, -10, 0, 7, -6, -6, 1, 0, 0, 7, -8, 0, 0, -14, 2, 16, 0, 0, 8, 0, 0, 10, 0, 1, -5, 12, 3, 0, 1, 2, 0, 9, 0, 0, 0, 6, -5, 0, -1, -12, -2, 0, 0, 17, 8, 8, 0, 0, 8, -5, -5, 5, 0, 0, 3, 10, -8, 0, 2, 0, 10, -24, 0, 0, -7, 5, 6, 0, 6, -11, -1, -1, 0, -4, 0, 24, -7, 0, 8, 12, 0, 10, 0, 5, 14, 0, -2, 0, -16, 2, 0, 21, 0, -10, -8, 16, 0, 0, 0, -24, -10, -8, 0, 0, -1, 11, 5, 0, -12, -9, -3, -13, 0, -16, -1, 4, -2, 0, 0, -10, -9, -6, 0, 17, 0, 7, 0, 0, -6, 0, 5, -15, 0, 12, 1, 14, 12, 0, 2, 18, 0, 14, 0, 7, -17, 6, -8, 0, -8, 0, 0, 0, 0, -2, -8, -14, 5, 0, 5, 18, -5, 16, 0, 0, 0, 21, -3, 0, -10, 5, 8, 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0, 18, 10, 0, 12, 0, -5, 44, 0, 60, 0, -39, 0, -7, 5, 0, 0, 0, -32, 0, 0, -38, -15, 68, 16, 0, -18, 12, 14, 0, 0, 80, 55, 41, -25, 0, 10, -16, -8, -36, 0, 0, 0, 18, 51, 0, -12, 70, -35, -18, 0, 31, 0, 77, 0, 0, 6, -33, 0, 192, 0, 8, -9, 0, -36, 0, 21, -92, 0, 40, 0, -48, 42, -32, 0, 0, 80, -65, -3, 14, 0, 0, 34, -30, -27, 0, 16, 12, 112, 48, 0, 0, -42, 64, -13, 0, 0, -17, 20, 6, 0, 22, -10, 76, 0, 0, -36, 0, -20, -14, 0, 9, -6, 27, 5, 0, -10, -85, 0, 21, 0, -16, -5, 18, 27, 0, -16, 0, 37, 0, 0, -33, -6, 0, 15, 0, -30, 35, -29, 13, 0, -12, -1, -48, 8, 0, 0, -32, -54, 54, 0, 0, -6, 32, 4, 0, 3, -19, 4, 0, 0, -88, 0, -50, -128, 0, 3, -78, 7, 60, 0, -40, 0, 0, -2, 0, -42, 14, -40, 9, 0, 30, 6, 16, 0, 0, 12, -62, -64, -24, 0, -85, -7, -84, -38, 0, 0, 33, 0, 11, 0, -2, 0, -24, -21, 0, 0, -24, 14, 42, 0, 0, 96, 17, -14, 0, -48, 0, 51, 0, 0, 168, -10, 74, 0, 0, 35, -22, 0, 72, 0, 12, -4, 12, -20, 0, -71, 0, -9, 0, 0, 58, 0, 4, 43, 0, 24, 58, -1, -12, 0, -74, -40, -87, -6, 0, 56, 35, -8, -80, 0, 0, -16, 104, 18, 0, 4, 36, -26, 78, 0, -7, 0, 5, 24, 0, 0, 97, -45, 25, 0, -20, -15, 0, 44, 0, 17, 64, 0, 0, 0, 24, 56, 96, 0, 0, -52, 128, -17, 18, 0, -70, 0, -12, -30, 0, 13, -34, 14, 30, 0, 0, 24, 0, 8, 0, 0, -17, 7, 34, 0, -12, -36, 108, 22, 0, -17, 0, 0, -42, 0, -32, -58, -25, 0, 0, -30, -3, 0, -21, 0, 0, 10, -34, 6, 0, 22, 60, 16, 0, 0, -30, -33, -5, 0, 0, -11, 0, 24, 74, 0, -50, -9, 16, -35, 0, -6, 0, 5, -16, 0, 0, 42, -192, -6, 0, 18, 16, -24, 14, 0, 8, 0, 80, 22, 0, -15, 0, 26, -64, 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], [0.5773502691896257, 0.0], [0.5, 0.0], [0.0, 0.0], [-0.408248290463863, 0.0], [1.1338934190276817, 0.0], [-0.3535533905932738, 0.0], [-0.6666666666666666, 0.0], [0.0, 0.0], [0.0, 0.0], [0.28867513459481287, 0.0], [0.0, 0.0], [-0.8017837257372732, 0.0], [0.0, 0.0], [0.25, 0.0], [-1.9402850002906638, 0.0], [0.4714045207910317, 0.0], [1.8353258709644942, 0.0], [0.0, 0.0], [0.6546536707079772, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.2041241452319315, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9622504486493763, 0.0], [0.5669467095138409, 0.0], [0.3713906763541037, 0.0], [0.0, 0.0], [1.0776318121606494, 0.0], [-0.1767766952966369, 0.0], [0.0, 0.0], [1.3719886811400708, 0.0], [0.0, 0.0], [-0.3333333333333333, 0.0], [0.0, 0.0], [-1.2977713690461004, 0.0], [0.0, 0.0], [0.0, 0.0], [0.7808688094430303, 0.0], [-0.4629100498862757, 0.0], [-0.15249857033260467, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.7293249574894728, 0.0], [0.14433756729740643, 0.0], [0.2857142857142857, 0.0], [0.0, 0.0], [-1.1202240672224077, 0.0], [0.0, 0.0], [-1.0988845115895123, 0.0], [0.6804138174397717, 0.0], [0.0, 0.0], [-0.4008918628686366, 0.0], [1.059625885652035, 0.0], [-0.2626128657194451, 0.0], [-1.3018891098082386, 0.0], [0.0, 0.0], [0.8962581595302718, 0.0], [-0.762000762001143, 0.0], [-0.7559289460184545, 0.0], [0.125, 0.0], [0.0, 0.0], [0.0, 0.0], [0.8551861104941365, 0.0], [-0.9701425001453319, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.6614943214713946, 0.0], [0.23570226039551584, 0.0], [1.872658355138089, 0.0], [0.0, 0.0], [0.0, 0.0], [0.9176629354822471, 0.0], [0.0, 0.0], [0.0, 0.0], [1.125087900926024, 0.0], [0.0, 0.0], [0.1111111111111111, 0.0], [-0.5521576303742327, 0.0], [1.317171119876284, 0.0], [0.3273268353539886, 0.0], [0.0, 0.0], [0.10783277320343841, 0.0], [0.21442250696755896, 0.0], [0.0, 0.0], [0.9539980920057239, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.6221710168382552, 0.0], [-0.5157106231293968, 0.0], [0.0, 0.0], [-0.10206207261596575, 0.0], [-1.218415398160343, 0.0], [-0.20203050891044216, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, -0.20339262533066568, None, -0.15406226726060876, None, -0.25, -0.4610104348113153, -0.0650367345732515, -0.25, -0.2202731255008241, -0.15943592008757862, -0.25, -0.18616241103047104, -0.2621472406711687, -0.190592187362113, -0.34257988277080614, -0.3628134866002131, -0.17604524758845672, -0.17968081643545009, -0.40604323927995906, -0.05710012560995407, -0.15491135532682404, -0.13557753176547002, -0.17086225637000207, -0.354256212425259, -0.08956728874672037, -0.1855226885657012, -0.28884988877224943, -0.21151536391390047, -0.17206195655559392, -0.33114510223340804, -0.2779543757964231, -0.16433848876031978, -0.18029622377113905, -0.08517133926701739, -0.3166941218997619, -0.45354567220421105, -0.17911691067569002, -0.3066069687182552, -0.22570510482623554, -0.2859934293550122, -0.14115819368670077, -0.17852531580372927, -0.1659543412124187, -0.13921358420014895, -0.16736104881463104, -0.26096535121033226, -0.12589214280873104, -0.22346857663011063, -0.45381340502254663, -0.18570597111391926, -0.2916533939604434, -0.33024779891938993, -0.3721460127443246, -0.37035275942357987, -0.31031702186899685, -0.24514732407605808, -0.462201774855256, -0.2211542518605629, -0.2213625567951669, -0.20690168937306536, -0.2780386048819629, -0.3254636263164496, -0.19474774007064147, -0.19493197216421101, -0.25894373866705894, -0.2147199904382026, -0.32176508725545827, -0.2628297180293744, -0.27566924960518263, -0.18923791109588095, -0.18062481020177673, -0.17683343279793162, -0.2251772940094081, -0.22537615945545175, -0.3170229891421976, -0.21336468909391196, -0.16631991729054574, -0.20571786586938853, -0.3772378032973497, -0.07898621897978135, -0.2538787526012938, -0.0973028997222509, -0.2576514455165678, -0.3123511436459294, -0.09375559193024817, -0.14006600414798845, -0.22759117076462684, -0.26112794161435093, -0.27600348883884196, -0.22410911186415797, -0.31744868763260414, -0.3415021661982132, -0.13165270860177863, -0.3319451885172949, -0.32754359254968324, -0.4030127830053466, -0.31073110892531625, -0.14514694477240017, -0.2879941805100664], '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': 12, 'hecke_orbit_code': 49539595934635938, 'label': '6050.2.a.l.1.1', 'level': 6050, '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': [18, 24, 23, 22, 24, 16, 19, 27], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [17, 18, 18, 18, 18, 18, 18, 18], 'ALdims_old': [91, 96, 97, 89, 93, 98, 92, 90], 'Nk2': 24200, 'analytic_conductor': 48.30949322287463, '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': [6050, 1, [727, 2301], [1, 1]], 'conrey_index': 1, 'cusp_dim': 919, 'dim': 173, 'eis_dim': 143, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 13, 17, 19], 'hecke_orbit_code': 33560482, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], 'label': '6050.2.a', 'level': 6050, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 11], 'level_radical': 110, 'mf_dim': 1062, 'mf_new_dim': 173, 'num_forms': 92, 'plus_dim': 75, 'prim_orbit_index': 1, 'relative_dim': 173, 'sturm_bound': 1980, 'trace_bound': 19, 'trace_display': [-1, 2, 0, 8], 'traces': [173, -1, 2, 173, 0, -2, 8, -1, 177, 0, 0, 2, 2, -4, 0, 173, -10, -13, 18, 0, -4, 0, -12, -2, 0, 0, -16, 8, -2, 0, 12, -1, 0, 0, 0, 177, 16, 2, 24, 0, 0, 4, 12, 0, 0, 12, 0, 2, 189, 0, -18, 2, 12, -2, 0, -4, 0, -4, -38, 0, 26, 8, 8, 173, 0, 0, 50, -10, -52, 0, -36, -13, -2, 18, 0, 18, 0, 0, 28, 0, 173, -6, -12, -4, 0, -18, -32, 0, -52, 0, 120, -12, 52, 16, 0, -2, 50, -25, 0, 0, 10, 16, 60, 0, 0, 26, -28, -16, 34, 0, 60, 8, 6, -6, 0, -2, 26, -4, -8, 0, 0, -38, 64, 12, 0, 28, -8, -1, 80, 0, -44, 0, 44, 26, 0, 0, -24, 48, -54, 0, 8, -8, 0, 177, 0, -10, 90, 16, 6, 0, -12, 2, 14, 0, 0, 24, -50, 48, -12, 0, -16, -25, 78, 0, 0, -44, 0, 4, 229, 0, 64, 12, 26, 52, 0, 0, 40, -42, -40, 0, 132, -32, 16, 12, 0, -20, 0, 0, 68, 0, 16, 2, 6, -10, 0, 189, -30, 0, -16, 0, 34, -90, 16, -18, 0, 24, 8, 2, 0, 0, 22, 12, -72, -32, 0, -2, -32, 12, -46, 0, -110, 32, 60, -4, 0, 0, 4, 0, 24, 0, 0, -4, 6, 60, 0, -38, -32, -48, -96, 0, 40, 0, 44, 26, 0, 48, 36, 8, -86, 0, -62, 8, 0, -36, 0, 173, 46, 118, 8, 0, -26, -10, 0, 0, 0, 28, 122, 50, -48, 0, -84, -10, 40, 36, 0, -52, -22, 92, 12, 0, -2, 32, -4, -36, 0, 0, -28, -13, 217, 0, 50, -2, 42, -10, 0, 18, 0, 0, -64, 0, 156, -8, -32, 18, 0, 160, 12, 0, -64, 0, -80, 0, -30, -14, 0, 28, -74, -32, 0, 0, -66, -24, 18, 173, 0, -14, 96, -6, -144, 0, -12, -12, -164, -12, 0, -4, 6, 41, -350, 0, 0, 84, 64, -18, 0, -38, 36, -32, -46, 0, -24, 0, -218, 48, 0, -52, 40, 60, -4, 0, 105, 58, 0, 120, 0, 108, 100, -12, 86, 0, 40, 52, 50, 0, 0, 16, -106, 136, 152, 0, 124, 24, 64, -2, 0, 190, -84, 50, -148, 0, -68, -25, -80, 24, 0, 0, 48, -80, 332, 0, -36, 0, 16, 10, 0, -72, 0, 16, -32, 0, 228, 60, -96, 104, 0, 0, 16, 0, -16, 0, 108, -22, -256, 26, 0, -48, 80, -28, 0, 0, 92, -16, 18, -56, 0, 34, -48, 50, 8, 0, 297, 36, -150, 60, 0, -96, -96, 8, 68, 0, 0, 6, 96, -42, 0, -6, 38, -6, -78, 0, -42, 0, 128, -2, 0, -114, 60, 26, 164, 0, 304, -4, 0, -64, 0, -8, -28, 28, -20, 0, 212, 0, 0, 0, 0, 52, 44, -38, -286, 0, -100, 64, -86, -16, 0, 12, 96, 86, 42, 0, 104, 20, -24, 28, 0, 0, 46, -8, 114, 0, 160, -1, 48, -50, 0, 80, 0, 16, 32, 0, -86, -8, -44, -44, 0, -32, 0, 0, 165, 0, -112, 44, -74, -114, 0, 26, 56, -14, 0, 0, -18, 48, -244, 0, 0, 48, 100, -24, -18, 0, 188, 48, 64, 48, 0, -54, -54, -40, 56, 0, 0, -124, 12, 8, 0, 102, 152, -8, 16, 0, 76, 0, -188, -124, 0, 177, -122, 45, 190, 0, -232, -16, 0, -10, 0, 32, -198, 90, 92, 0, -172, 16, -58, 0, 0, 6, 68, 96, -12, 0, 28, -32, 148, -12, 0, -224, -120, 2, -200, 0, 64, 14, 66, -312, 0, 0, -322, -80, -82, 0, -432, -24, 0, 24, 0, 94, 0, -50, -88, 0, -248, 48, -32, 6, 0, -12, 18, 0, -240, 0, -22, 70, 110, -16, 0, -142, -288, -25, 0, 0, 40, 78, -130, -96, 0, 0, -122, -48, 222, 0, -108, -20, -44, -44, 0, 94, -24, 0, -356, 0, 0, 4, 70, 80, 0, 229, 58, -32, 80, 0, -336, 0, 60, 64, 0, -200, 12, 12, -60, 0, 44, 26, 0, -72, 0, 52, -110, 48, -164, 0, -26, 12, 88, 0, 0, 14, -272, 40, -86, 0, 80, -42, -136, 36, 0, -40, 32, -12, 12, 0, -24, -45, 32, 132, 0, 0, -260, -32, -117, 0, -72, 16, 74, -144, 0, 12, 0, 82, 36, 0, 44, -208, -48, -20, 0, -62, 36, 0, 32, 0, -280, 0, -320, -44, 0, 68, -160, -100, 0, 0, -40, -228, 48, 16, 0, -92, 72, 2, -104, 0, 102, 6, -14, -334, 0, -10, -176, -54, 58, 0, 0, 12, 64, 189, 0, -96, 60, -30, 36, 0, 36, 0, 40, 198, 0, -16, 46, 64, -120, 0, -282, -34, 0, 34, 0, -72, -208, -90, 102, 0, -36, 16, 64, 0, 0, -18, 264, 168, 432, 0, -254, 48, 164, 24, 0, -388, 20, 8, 156, 0, -72, 2, 70, 42, 0, 0, 208, 12, -344, 0, 181, 10, 48, 22, 0, -8, 0, 12, -230, 0, 136, -72, -30, 136, 0, -32, 14, 0, 236, 0, -480, 24, 20, -2, 0, -4, 108, -32, 0, 0, -272, 12, 202, -96, 0, -46, 10, 32, -292, 0, -266, 11, 14, -110, 0, -54, 80, 32, 144, 0, 0, 60, -112, -328, 0, -4, -96, -18, -176, 0, -16, 0, 140, 0, 0, 4, 214, 4, -266, 0, -116, 0, 0, 136, 0, 24, -156, 130, -116, 0, -50, -256, -48, 0, 0, 112, 256, -4, -310, 0, 250, 6, -308, 4, 0, 60, 22, -36, 196, 0, -106, 32, -216, -38, 0, 0, 66, -32, 536, 0, -344, -48, 54, 78, 0, -96, 0, 32, 84, 0, 277, -98, -124, 40, 0, -72, 32, 0, 320, 0, 342, 44, 216, 148, 0, 26, 72, 16, 0, 0, -66, -294, -208, 48, 0, 180, 48, 36, 256, 0, 152, 8, 30, 56, 0, -86, -78, 52, 464, 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: 47306478
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539595934635938, 'source_is_minimal': False, 'source_label': '6050.2.a.l.1.1', 'source_level': 6050, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539595934635938, 'target_is_minimal': False, 'target_label': '6050.2.a.l.1.1', 'target_level': 6050, 'twist_class_label': '1210.2.a.c.1.1', 'twist_class_level': 1210, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47306479
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539595934635938, 'source_is_minimal': False, 'source_label': '6050.2.a.l.1.1', 'source_level': 6050, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396679890106, 'target_is_minimal': True, 'target_label': '1210.2.a.j.1.1', 'target_level': 1210, 'twist_class_label': '1210.2.a.c.1.1', 'twist_class_level': 1210, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 47306480
    {'conductor': 11, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539595934635938, 'source_is_minimal': False, 'source_label': '6050.2.a.l.1.1', 'source_level': 6050, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 148618787736786850, 'target_is_minimal': False, 'target_label': '6050.2.a.bh.1.1', 'target_level': 6050, 'twist_class_label': '1210.2.a.c.1.1', 'twist_class_level': 1210, 'twisting_char_label': '11.10', 'twisting_conrey_index': 10, 'weight': 2}
  • id: 47306481
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539595934635938, 'source_is_minimal': False, 'source_label': '6050.2.a.l.1.1', 'source_level': 6050, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 99079191835715024, 'target_is_minimal': False, 'target_label': '9680.2.a.w.1.1', 'target_level': 9680, 'twist_class_label': '1210.2.a.c.1.1', 'twist_class_level': 1210, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 47306482
    {'conductor': 55, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539595934635938, 'source_is_minimal': False, 'source_label': '6050.2.a.l.1.1', 'source_level': 6050, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288296634, 'target_is_minimal': True, 'target_label': '1210.2.a.c.1.1', 'target_level': 1210, 'twist_class_label': '1210.2.a.c.1.1', 'twist_class_level': 1210, 'twisting_char_label': '55.54', 'twisting_conrey_index': 54, 'weight': 2}
  • id: 47306483
    {'conductor': 220, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 49539595934635938, 'source_is_minimal': False, 'source_label': '6050.2.a.l.1.1', 'source_level': 6050, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 85568392953603536, 'target_is_minimal': False, 'target_label': '9680.2.a.t.1.1', 'target_level': 9680, 'twist_class_label': '1210.2.a.c.1.1', 'twist_class_level': 1210, 'twisting_char_label': '220.219', 'twisting_conrey_index': 219, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4075550
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 2}
  • id: 4075551
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 3}
  • id: 4075552
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 5}
  • id: 4075553
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 7}
  • id: 4075554
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 11}
  • id: 4075555
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 13}
  • id: 4075556
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 17}
  • id: 4075557
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 19}
  • id: 4075558
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 23}
  • id: 4075559
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 29}
  • id: 4075560
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 31}
  • id: 4075561
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 37}
  • id: 4075562
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 41}
  • id: 4075563
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 43}
  • id: 4075564
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 47}
  • id: 4075565
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 53}
  • id: 4075566
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 59}
  • id: 4075567
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 61}
  • id: 4075568
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 67}
  • id: 4075569
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 71}
  • id: 4075570
    {'charpoly_factorization': [[[-16, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 73}
  • id: 4075571
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 79}
  • id: 4075572
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 83}
  • id: 4075573
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 49539595934635938, 'p': 89}
  • id: 4075574
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 49539595934635938, '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': 12, 'label': '6050.2.a.l', 'level': 6050, '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: 56172769
    {'hecke_orbit_code': 49539595934635938, 'n': 1, 'trace_an': 1}
  • id: 56172770
    {'hecke_orbit_code': 49539595934635938, 'n': 2, 'trace_an': -1}
  • id: 56172771
    {'hecke_orbit_code': 49539595934635938, 'n': 3, 'trace_an': 1}
  • id: 56172772
    {'hecke_orbit_code': 49539595934635938, 'n': 4, 'trace_an': 1}
  • id: 56172773
    {'hecke_orbit_code': 49539595934635938, 'n': 5, 'trace_an': 0}
  • id: 56172774
    {'hecke_orbit_code': 49539595934635938, 'n': 6, 'trace_an': -1}
  • id: 56172775
    {'hecke_orbit_code': 49539595934635938, 'n': 7, 'trace_an': 3}
  • id: 56172776
    {'hecke_orbit_code': 49539595934635938, 'n': 8, 'trace_an': -1}
  • id: 56172777
    {'hecke_orbit_code': 49539595934635938, 'n': 9, 'trace_an': -2}
  • id: 56172778
    {'hecke_orbit_code': 49539595934635938, 'n': 10, 'trace_an': 0}
  • id: 56172779
    {'hecke_orbit_code': 49539595934635938, 'n': 11, 'trace_an': 0}
  • id: 56172780
    {'hecke_orbit_code': 49539595934635938, 'n': 12, 'trace_an': 1}
  • id: 56172781
    {'hecke_orbit_code': 49539595934635938, 'n': 13, 'trace_an': 0}
  • id: 56172782
    {'hecke_orbit_code': 49539595934635938, 'n': 14, 'trace_an': -3}
  • id: 56172783
    {'hecke_orbit_code': 49539595934635938, 'n': 15, 'trace_an': 0}
  • id: 56172784
    {'hecke_orbit_code': 49539595934635938, 'n': 16, 'trace_an': 1}
  • id: 56172785
    {'hecke_orbit_code': 49539595934635938, 'n': 17, 'trace_an': -8}
  • id: 56172786
    {'hecke_orbit_code': 49539595934635938, 'n': 18, 'trace_an': 2}
  • id: 56172787
    {'hecke_orbit_code': 49539595934635938, 'n': 19, 'trace_an': 8}
  • id: 56172788
    {'hecke_orbit_code': 49539595934635938, 'n': 20, 'trace_an': 0}
  • id: 56172789
    {'hecke_orbit_code': 49539595934635938, 'n': 21, 'trace_an': 3}
  • id: 56172790
    {'hecke_orbit_code': 49539595934635938, 'n': 22, 'trace_an': 0}
  • id: 56172791
    {'hecke_orbit_code': 49539595934635938, 'n': 23, 'trace_an': 0}
  • id: 56172792
    {'hecke_orbit_code': 49539595934635938, 'n': 24, 'trace_an': -1}
  • id: 56172793
    {'hecke_orbit_code': 49539595934635938, 'n': 25, 'trace_an': 0}
  • id: 56172794
    {'hecke_orbit_code': 49539595934635938, 'n': 26, 'trace_an': 0}
  • id: 56172795
    {'hecke_orbit_code': 49539595934635938, 'n': 27, 'trace_an': -5}
  • id: 56172796
    {'hecke_orbit_code': 49539595934635938, 'n': 28, 'trace_an': 3}
  • id: 56172797
    {'hecke_orbit_code': 49539595934635938, 'n': 29, 'trace_an': 2}
  • id: 56172798
    {'hecke_orbit_code': 49539595934635938, 'n': 30, 'trace_an': 0}
  • id: 56172799
    {'hecke_orbit_code': 49539595934635938, 'n': 31, 'trace_an': 6}
  • id: 56172800
    {'hecke_orbit_code': 49539595934635938, 'n': 32, 'trace_an': -1}
  • id: 56172801
    {'hecke_orbit_code': 49539595934635938, 'n': 33, 'trace_an': 0}
  • id: 56172802
    {'hecke_orbit_code': 49539595934635938, 'n': 34, 'trace_an': 8}
  • id: 56172803
    {'hecke_orbit_code': 49539595934635938, 'n': 35, 'trace_an': 0}
  • id: 56172804
    {'hecke_orbit_code': 49539595934635938, 'n': 36, 'trace_an': -2}
  • id: 56172805
    {'hecke_orbit_code': 49539595934635938, 'n': 37, 'trace_an': 0}
  • id: 56172806
    {'hecke_orbit_code': 49539595934635938, 'n': 38, 'trace_an': -8}
  • id: 56172807
    {'hecke_orbit_code': 49539595934635938, 'n': 39, 'trace_an': 0}
  • id: 56172808
    {'hecke_orbit_code': 49539595934635938, 'n': 40, 'trace_an': 0}
  • id: 56172809
    {'hecke_orbit_code': 49539595934635938, 'n': 41, 'trace_an': 5}
  • id: 56172810
    {'hecke_orbit_code': 49539595934635938, 'n': 42, 'trace_an': -3}
  • id: 56172811
    {'hecke_orbit_code': 49539595934635938, 'n': 43, 'trace_an': -1}
  • id: 56172812
    {'hecke_orbit_code': 49539595934635938, 'n': 44, 'trace_an': 0}
  • id: 56172813
    {'hecke_orbit_code': 49539595934635938, 'n': 45, 'trace_an': 0}
  • id: 56172814
    {'hecke_orbit_code': 49539595934635938, 'n': 46, 'trace_an': 0}
  • id: 56172815
    {'hecke_orbit_code': 49539595934635938, 'n': 47, 'trace_an': 5}
  • id: 56172816
    {'hecke_orbit_code': 49539595934635938, 'n': 48, 'trace_an': 1}
  • id: 56172817
    {'hecke_orbit_code': 49539595934635938, 'n': 49, 'trace_an': 2}
  • id: 56172818
    {'hecke_orbit_code': 49539595934635938, 'n': 50, 'trace_an': 0}
  • id: 56172819
    {'hecke_orbit_code': 49539595934635938, 'n': 51, 'trace_an': -8}
  • id: 56172820
    {'hecke_orbit_code': 49539595934635938, 'n': 52, 'trace_an': 0}
  • id: 56172821
    {'hecke_orbit_code': 49539595934635938, 'n': 53, 'trace_an': -8}
  • id: 56172822
    {'hecke_orbit_code': 49539595934635938, 'n': 54, 'trace_an': 5}
  • id: 56172823
    {'hecke_orbit_code': 49539595934635938, 'n': 55, 'trace_an': 0}
  • id: 56172824
    {'hecke_orbit_code': 49539595934635938, 'n': 56, 'trace_an': -3}
  • id: 56172825
    {'hecke_orbit_code': 49539595934635938, 'n': 57, 'trace_an': 8}
  • id: 56172826
    {'hecke_orbit_code': 49539595934635938, 'n': 58, 'trace_an': -2}
  • id: 56172827
    {'hecke_orbit_code': 49539595934635938, 'n': 59, 'trace_an': -10}
  • id: 56172828
    {'hecke_orbit_code': 49539595934635938, 'n': 60, 'trace_an': 0}
  • id: 56172829
    {'hecke_orbit_code': 49539595934635938, 'n': 61, 'trace_an': 7}
  • id: 56172830
    {'hecke_orbit_code': 49539595934635938, 'n': 62, 'trace_an': -6}
  • id: 56172831
    {'hecke_orbit_code': 49539595934635938, 'n': 63, 'trace_an': -6}
  • id: 56172832
    {'hecke_orbit_code': 49539595934635938, 'n': 64, 'trace_an': 1}
  • id: 56172833
    {'hecke_orbit_code': 49539595934635938, 'n': 65, 'trace_an': 0}
  • id: 56172834
    {'hecke_orbit_code': 49539595934635938, 'n': 66, 'trace_an': 0}
  • id: 56172835
    {'hecke_orbit_code': 49539595934635938, 'n': 67, 'trace_an': 7}
  • id: 56172836
    {'hecke_orbit_code': 49539595934635938, 'n': 68, 'trace_an': -8}
  • id: 56172837
    {'hecke_orbit_code': 49539595934635938, 'n': 69, 'trace_an': 0}
  • id: 56172838
    {'hecke_orbit_code': 49539595934635938, 'n': 70, 'trace_an': 0}
  • id: 56172839
    {'hecke_orbit_code': 49539595934635938, 'n': 71, 'trace_an': -14}
  • id: 56172840
    {'hecke_orbit_code': 49539595934635938, 'n': 72, 'trace_an': 2}
  • id: 56172841
    {'hecke_orbit_code': 49539595934635938, 'n': 73, 'trace_an': 16}
  • id: 56172842
    {'hecke_orbit_code': 49539595934635938, 'n': 74, 'trace_an': 0}
  • id: 56172843
    {'hecke_orbit_code': 49539595934635938, 'n': 75, 'trace_an': 0}
  • id: 56172844
    {'hecke_orbit_code': 49539595934635938, 'n': 76, 'trace_an': 8}
  • id: 56172845
    {'hecke_orbit_code': 49539595934635938, 'n': 77, 'trace_an': 0}
  • id: 56172846
    {'hecke_orbit_code': 49539595934635938, 'n': 78, 'trace_an': 0}
  • id: 56172847
    {'hecke_orbit_code': 49539595934635938, 'n': 79, 'trace_an': 10}
  • id: 56172848
    {'hecke_orbit_code': 49539595934635938, 'n': 80, 'trace_an': 0}
  • id: 56172849
    {'hecke_orbit_code': 49539595934635938, 'n': 81, 'trace_an': 1}
  • id: 56172850
    {'hecke_orbit_code': 49539595934635938, 'n': 82, 'trace_an': -5}
  • id: 56172851
    {'hecke_orbit_code': 49539595934635938, 'n': 83, 'trace_an': 12}
  • id: 56172852
    {'hecke_orbit_code': 49539595934635938, 'n': 84, 'trace_an': 3}
  • id: 56172853
    {'hecke_orbit_code': 49539595934635938, 'n': 85, 'trace_an': 0}
  • id: 56172854
    {'hecke_orbit_code': 49539595934635938, 'n': 86, 'trace_an': 1}
  • id: 56172855
    {'hecke_orbit_code': 49539595934635938, 'n': 87, 'trace_an': 2}
  • id: 56172856
    {'hecke_orbit_code': 49539595934635938, 'n': 88, 'trace_an': 0}
  • id: 56172857
    {'hecke_orbit_code': 49539595934635938, 'n': 89, 'trace_an': 9}
  • id: 56172858
    {'hecke_orbit_code': 49539595934635938, 'n': 90, 'trace_an': 0}
  • id: 56172859
    {'hecke_orbit_code': 49539595934635938, 'n': 91, 'trace_an': 0}
  • id: 56172860
    {'hecke_orbit_code': 49539595934635938, 'n': 92, 'trace_an': 0}
  • id: 56172861
    {'hecke_orbit_code': 49539595934635938, 'n': 93, 'trace_an': 6}
  • id: 56172862
    {'hecke_orbit_code': 49539595934635938, 'n': 94, 'trace_an': -5}
  • id: 56172863
    {'hecke_orbit_code': 49539595934635938, 'n': 95, 'trace_an': 0}
  • id: 56172864
    {'hecke_orbit_code': 49539595934635938, 'n': 96, 'trace_an': -1}
  • id: 56172865
    {'hecke_orbit_code': 49539595934635938, 'n': 97, 'trace_an': -12}
  • id: 56172866
    {'hecke_orbit_code': 49539595934635938, 'n': 98, 'trace_an': -2}
  • id: 56172867
    {'hecke_orbit_code': 49539595934635938, 'n': 99, 'trace_an': 0}
  • id: 56172868
    {'hecke_orbit_code': 49539595934635938, 'n': 100, 'trace_an': 0}